Authors;Article Title;Source Title;Document Type;Author Keywords;Keywords Plus;Abstract;Addresses;Affiliations;Times Cited, WoS Core;Publication Year;Open Access Designations
"Marikyan, D; Papagiannidis, S; Alamanos, E";Smart Home Sweet Smart Home: An Examination of Smart Home Acceptance;INTERNATIONAL JOURNAL OF E-BUSINESS RESEARCH;Article;"Pervasive Technology; Private Settings; Satisfaction; Smart Home; Technology Acceptance";"TASK-TECHNOLOGY FIT; INFORMATION-TECHNOLOGY; MOBILE TECHNOLOGY; USER ACCEPTANCE; EMPIRICAL-EXAMINATION; BEHAVIORAL INTENTION; PERCEIVED USEFULNESS; BANKING ADOPTION; INTERNET BANKING; SERVICE QUALITY";Technology acceptance in private spaces has not received much attention, although users' behaviour may be different due to the space in which usage takes place. To address this gap, the present study proposed a model exploring individuals' values, users' perception of technology performance and attitudinal beliefs in relation to use behaviour and satisfaction when using smart technologies in their homes. The study employed a sample of 422 participants in the USA. Structural equation modelling was utilised to test the proposed hypotheses. The model provided robust results explaining factors underpinning the use of pervasive technology in private settings. Specifically, the study showed that hedonic and utilitarian beliefs are critical for the perception of task fit, whereas privacy and financial factors were found to be not significant. The fit between tasks and technology demonstrated a significant role in predicting perceived usefulness, perceived ease of use, use behaviour, and satisfaction. Lastly, use behaviour showed a positive correlation with satisfaction.;"[Marikyan, Davit; Alamanos, Eleftherios] Newcastle Univ, Business Sch, Newcastle Upon Tyne, Tyne & Wear, England; [Papagiannidis, Savvas] Newcastle Univ, Business Sch, Innovat & Enterprise, Newcastle Upon Tyne, Tyne & Wear, England";"Newcastle University - UK; Newcastle University - UK";7;2021;Green Published
"Hubert, M; Blut, M; Brock, C; Zhang, RW; Koch, V; Riedl, R";The influence of acceptance and adoption drivers on smart home usage;EUROPEAN JOURNAL OF MARKETING;Article;"Technology acceptance model; Perceived risk; Innovation diffusion theory; Smart home application";"TECHNOLOGY ACCEPTANCE; INFORMATION-TECHNOLOGY; USER ACCEPTANCE; PERCEIVED RISK; MODEL; INNOVATION; COMMERCE; DIFFUSION; SERVICES; TRUST";Purpose This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context. Design/methodology/approach The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling. Findings Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application. Research limitations/implications - Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes. Originality/value This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.;"[Hubert, Marco] Aarhus Univ, Aarhus, Denmark; [Blut, Markus] Aston Business Sch, Birmingham, W Midlands, England; [Brock, Christian] Univ Rostock, Wirtschafts & Sozialwissenschaftl Fak, Rostock, Germany; [Zhang, Ruby Wenjiao] Newcastle Univ, Newcastle Upon Tyne, Tyne & Wear, England; [Koch, Vincent] Zeppelin Univ gGmbH, Friedrichshafen, Germany; [Riedl, Rene] Johannes Kepler Univ Linz, Linz, Austria; [Riedl, Rene] Univ Appl Sci, Upper Austria, Steyr, Austria";"Aarhus University; Aston University; University of Rostock; Newcastle University - UK; Johannes Kepler University Linz";40;2019;Green Accepted, Green Submitted
"Li, WD; Yigitcanlar, T; Erol, I; Liu, AR";Motivations, barriers and risks of smart home adoption: From systematic literature review to conceptual framework;ENERGY RESEARCH & SOCIAL SCIENCE;Review;"Smart home; Home automation; Domotics; Smart living; Internet-of-Things (IoT); Technology adoption";"ENERGY MANAGEMENT-SYSTEMS; ELDERLY HEALTH-CARE; TECHNOLOGY; CHALLENGES; SECURITY; BENEFITS; CONSUMPTION; ACCEPTANCE; CONSUMERS; INTERNET";"Smart home technology provides a suite of independently and remotely controlled software and hardware that are connected into a network to deliver smart living. Smart homes have immense potential to shape the future living, and the market is maturing, but factors influencing households' adoption of smart home technology services are still an understudied area. The study aims to identify the prominent smart home technology services and generate an understanding of the motivations, barriers, and risks of adoption from a consumer perspective. The paper reviews the literature and builds a conceptual framework of smart home adoption. The findings disclose: (a) Prominent technology services are associated with healthcare, energy efficiency and home security; (b) Primary motivations to adopt smart home technology services include efficient energy management, better home-based healthcare services, potential financial savings and benefits, and enhanced quality of life; (c) Main barriers to the smart home adoption include the distrust and resistance, limited perception of smart home, concerns of financial issues, privacy and security concerns, technology anxiety and negative social influences, and; (d) Main risks include privacy and security threats, energy rebounds and wasteful consumption, difficulty in the domestication of technology and destructiveness in domestic life.";"[Li, Wenda; Yigitcanlar, Tan; Liu, Aaron] Queensland Univ Technol, Sch Architecture & Built Environm, 2 George St, Brisbane, Qld 4000, Australia; [Erol, Isil] Univ Reading, Henley Business Sch, Reading RG6 6UD, Berks, England";"Queensland University of Technology (QUT); University of Reading";15;2021;Green Submitted
"Sorwar, G; Aggar, C; Penman, O; Seton, C; Ward, A";Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data;INFORMATICS FOR HEALTH & SOCIAL CARE;"Article; Early Access";"UTAUT; acceptance and adoption models; australian; seniors; smart home technology";"ELDERLY HEALTH-CARE; AGING IN-PLACE; INFORMATION-TECHNOLOGY; USER ACCEPTANCE; PERCEIVED EASE; SERVICES; PRIVACY; TRUST";Smart Home Technology presents an exciting opportunity to support seniors living independently in their homes. Despite widespread interest in Smart Homes, seniors' readiness to adopt Smart Home Technology is low. To determine the factors underpinning Australian seniors' acceptance and adoption of Smart Home Technology using an extended UTAUT model that includes Trust, Resistance to Change and Technology Anxiety. A longitudinal study was conducted to validate the proposed model prior to and after the implementation of a pilot Smart Home Modification program for seniors. Structural Equation Modeling has been applied to test the proposed hypotheses using a sample of 60 seniors in regional Australia. Perceived Usefulness is an important predictor of Smart Home Technology adoption by seniors. Trust was found to indirectly predict adoption of Smart Home Technology via Perceived Usefulness. This study showed that Perceived Usefulness and Trust are critical factors for the acceptance and use of SHT by seniors, validating the extension of UTAUT with a Trust factor. This makes a unique theoretical contribution to the literature with implications for aged care providers and policymakers to consider seniors' perceived usefulness and trust in the design, development, and implementation of Smart Home solutions.;"[Sorwar, Golam; Seton, Carolyn] Southern Cross Univ, Sch Sci & Engn, Coolangatta, Qld 4225, Australia; [Aggar, Christina; Penman, Olivia; Ward, Anastasia] Southern Cross Univ, Sch Hlth & Human Sci, Coolangatta, Qld, Australia; [Ward, Anastasia] Feros Care Ltd, Coolangatta, Qld, Australia";"Southern Cross University; Southern Cross University";0;;
"Kim, Y; Park, Y; Choi, J";A study on the adoption of IoT smart home service: using Value-based Adoption Model;TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE;"Article; Proceedings Paper";"IoT; smart home service; Value-based Adoption Model";"E-GOVERNMENT SERVICES; USER ACCEPTANCE; TECHNOLOGY ACCEPTANCE; BEHAVIORAL INTENTION; COGNITIVE ABSORPTION; CUSTOMER VALUE; PERCEPTIONS; PERSPECTIVE; PROVIDERS; EXTENSION";This study aims to comprehensively examine the adoption of smart home service. A new model combining VAM (Value-based Adoption Model) and TAM (Technical Acceptance Model) was developed and analysed with a set of variables from Unified Theory of Acceptance and Use of Technology and Elaboration Likelihood Model. Perceived value was affected by both perceived benefit and perceived sacrifice. In particular, perceived benefit was found to have a strong positive effect on perceived value. In contrast, privacy risk and innovation resistance were found to limit perceived value. This study holds considerable significance as it proposes a new approach to IoT (Internet of Things)-based smart home service adoption using VAM and TAM. Through these two models, the study determined that it is imperative for businesses to constitute and secure appropriate infrastructure for residents to use IoT-based smart home service. Developing content related to security is also crucial.;"[Kim, Yonghee; Park, Youngju] Soongsil Univ, Grad Sch Business, Seoul, South Korea; [Choi, Jeongil] Soongsil Univ, Coll Business Adm, Seoul, South Korea";"Soongsil University; Soongsil University";85;2017;
"Park, E; Kim, S; Kim, Y; Kwon, SJ";Smart home services as the next mainstream of the ICT industry: determinants of the adoption of smart home services;UNIVERSAL ACCESS IN THE INFORMATION SOCIETY;Article;"Smart home services; Technology acceptance model; Compatibility; Perceived connectedness";"TECHNOLOGY ACCEPTANCE MODEL; ONLINE SOCIAL NETWORKS; USER ACCEPTANCE; CONSUMER ACCEPTANCE; PERCEIVED ENJOYMENT; PLANNED BEHAVIOR; INTERNET BANKING; EXTENSION; ATTITUDES; SYSTEM";This study investigated the core motivations for adopting smart home services and explored the approaches and processes through which the motivations were incorporated with the original technology acceptance model (TAM) and the acceptance of the services. To achieve this purpose, an Internet survey was conducted in South Korea. The data (N = 799) from the survey were analyzed using structural equation modeling and confirmatory factor analysis. The results suggested that the perceived compatibility, connectedness, control, system reliability, and enjoyment of smart home services were positively related to the users' intention to use the services, whereas there was a negative association between the perceived cost and usage intention. The structural results also provided evidence of the validity of the original TAM. Although smart home services have attracted users' interest in the housing context, only a few studies have examined how the users' intention to use the services is motivated. The present study represents an initial step to explore the process of adopting smart home services with potential future research areas.;"[Park, Eunil] Hanyang Univ, Coll Comp, Div Media Culture & Design Technol, Ansan, South Korea; [Kim, Sunghyun] Korea Inst Civil Engn & Bldg Technol, ICT Convergence & Integrat Res Inst, Goyang, South Korea; [Kim, YoungSeok] Korea Inst Civil Engn & Bldg Technol, Geotech Engn Res Inst, Goyang, South Korea; [Kwon, Sang Jib] Dongguk Univ, Gyeongju Campus 123, Gyeongju Si 38066, Gyeongsangbuk D, South Korea";"Hanyang University; Korea Institute of Civil Engineering & Building Technology (KICT); Korea Institute of Civil Engineering & Building Technology (KICT); Dongguk University";54;2018;
"Aldossari, MQ; Sidorova, A";Consumer Acceptance of Internet of Things (IoT): Smart Home Context;JOURNAL OF COMPUTER INFORMATION SYSTEMS;Article;"Internet of Things (IoT); Smart home; IoT acceptance and use";"INFORMATION-TECHNOLOGY; USER ACCEPTANCE; ELECTRONIC COMMERCE; UNIFIED THEORY; ADOPTION; TRUST; PRIVACY; MODEL; GAMIFICATION; PERCEPTIONS";The increasing number of devices connected to the internet paves the way for the new era of the internet of things (IoT) computing in which almost every object surrounding us can be transformed into smart entities by equipping objects with sensors, actors, and connectivity technologies. In this study, we seek to examine the consumer acceptance of IoT in smart home context. Drawing on the unified theory of acceptance and use of technology (UTAUT2), we propose an integrative theoretical model that extends UTAUT2 and offers a more comprehensive picture of the factors influencing IoT acceptance and use. The results show that performance expectancy, effort expectancy, social influence, hedonic motivation, and price value are significant predictors of smart home acceptance and use. The results also show that trust and security risk play a significant role in smart home acceptance. We conclude with a discussion of the theoretical and practical implications.;"[Aldossari, Mobark Q.; Sidorova, Anna] Univ North Texas, Denton, TX 76203 USA";"University of North Texas System; University of North Texas Denton";39;2020;
"Chang, S; Nam, K";Smart Home Adoption: The Impact of User Characteristics and Differences in Perception of Benefits;BUILDINGS;Article;"smart home; technology adoption; service preference; user characteristics; influencing factors";"TECHNOLOGY ACCEPTANCE; SERVICES; INTERNET; MAINSTREAM; DIFFUSION; MODELS";Despite the various benefits offered by smart homes, they have not yet been widely adopted by mainstream users. This study was designed to identify user perceptions in the association between smart home service preference and adoption and to identify factors affecting the adoption and service preferences of smart homes. In order to achieve the goal of the study, an online survey was conducted among 400 potential users in the Republic of Korea. The main findings are as follows: First, there were considerable needs for the services that can support the independent lives of residents, such as safety and convenience services, among all age groups. Second, the study findings suggested that those who preferred environmental control service most were more likely to become relatively active adopters. Third, a significant association between the preference for smart home services and the intention to use was identified. Finally, the study findings suggested that the number of service preferences and adoption was not directly proportional. The findings reported in this study can improve the overall understanding of the process of adopting smart homes, and can provide important insights into user-centered strategies to promote the adoption of smart home services.;"[Chang, Soojung; Nam, Kyeongsook] Hanyang Univ, Dept Interior Architecture Design, Seoul 04763, South Korea";Hanyang University;1;2021;gold
"Sanguinetti, A; Karlin, B; Ford, R";Understanding the path to smart home adoption: Segmenting and describing consumers across the innovation-decision process;ENERGY RESEARCH & SOCIAL SCIENCE;Article;"Home energy management; Smart home technology; Consumer adoption; Innovation-decision";"ENERGY-CONSUMPTION; TECHNOLOGY";The burgeoning smart home market brings opportunities for home energy management systems (HEMS). Despite hundreds of smart HEM products on the market and many invested stakeholders, consumer adoption is lagging behind expectations. Past research in this space has focused on smart home technology (SHT) in general, rather than particular products with HEM potential. Conflating smart HEMS with all SHT is problematic because there is a wide range of smart home products and functions, toward which consumers may have varying attitudes. Past work has also rarely distinguished between various stages of the adoption process that lead up to smart HEMS purchase (Knowledge, Persuasion, and Decision Stages). This research used a Diffusion of Innovations framework and survey data from 709 California utility customers to assess the current market and barriers to HEM smart hardware adoption. Cluster analysis based on consumer awareness, interest, and ownership of HEMS revealed four consumer segments at different positions along the path to adoption: Unfamiliar, Unpersuaded, Persuaded, and Owners. Each group had a unique demographic and psychographic profile with implications for different sets of relevant barriers to adoption.;"[Sanguinetti, Angela] Univ Calif Davis, Davis, CA 95616 USA; [Karlin, Beth] SEE Change Inst, Venice, CA USA; [Ford, Rebecca] Univ Oxford, Oxford, England";"University of California System; University of California Davis; University of Oxford";27;2018;Green Submitted, Green Accepted, Green Published
"Shin, J; Park, Y; Lee, D";Who will be smart home users? An analysis of adoption and diffusion of smart homes;TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE;Article;"Consumer behavior; Multivariate probit model; Network externality; Smart home; Technology acceptance model";"STRATEGIC MANAGEMENT; ACCEPTANCE; SERVICES; INTERNET; TECHNOLOGY; BEHAVIOR; BANKING; THINGS; GAP";A smart home is considered a primary service of the Internet of Things (IoT), and global leading companies are launching smart home services/products based on the IoT. However, the spread of smart homes has been slower than expected, and analysis of smart homes from a demand perspective is required. This study suggests implications for promoting the smart home market by analyzing factors affecting adoption and diffusion of smart homes. A technology acceptance model was used to describe the adoption of smart homes and a multivariate probit model was used to describe the diffusion of smart homes. The characteristics of smart homes such as network effects between services/products and the importance of personal information protection were considered in addition to demographic variables. The results of this study show that compatibility, perceived ease of use, and perceived usefulness have significant positive effects on purchase intention. In terms of purchase timing, unlike other information and communication technology (ICT) services/products, older consumers are more likely to purchase smart homes within a given time period than are younger consumers. Therefore, a strategy for promoting smart home purchases by young consumers is required to increase market demand.;"[Shin, Jungwoo] Kyung Hee Univ, Dept Ind & Management Syst Engn, 1732 Deogyeong Daero, Yongin 446701, Gyeonggi, South Korea; [Park, Yuri] Korea Informat Soc Dev Inst, Dept ICT Ind Res, 18 Jeongtong Ro, Jincheon Gun 27872, Chungchengbuk D, South Korea; [Lee, Daeho] Sungkyunkwan Univ, Dept Interact Sci, 25-2 Sungkyunwan Ro, Seoul, South Korea";"Kyung Hee University; Sungkyunkwan University (SKKU)";81;2018;
"Sanguinetti, A; Karlin, B; Ford, R; Salmon, K; Dombrovski, K";What's energy management got to do with it? Exploring the role of energy management in the smart home adoption process;ENERGY EFFICIENCY;Article;"Home energy management; Energy management technology; Consumer adoption; Smart home; Connected home";"RESIDENTIAL BUILDINGS; CONSUMPTION; PERFORMANCE; INFORMATION";There are high hopes for smart home technology to deliver Home Energy Management (HEM) solutions, including through smart thermostats, plugs, lights, switches, and appliances. However, adoption of these technologies is lagging behind expectations. Moreover, it is unclear how energy management features in the smart home consumer adoption process. We know there is technical potential for the smart home to support energy management, but we know little about the degree to which energy benefits interest consumers and motivate them to adopt smart home technologies relative to non-energy benefits such as security, comfort, and convenience, which could have implications for increasing rather than decreasing energy consumption. To that point, we know little about whether and how the energy management functionalities of smart home products are actually used by adopters. The present research investigated consumers' knowledge of, attitudes toward, and experiences with smart home technologies that have energy management functionalities (smart HEMS), in order to assess barriers to adoption and to achieving purported energy benefits. Specifically, we studied shoppers at smart home retailers to gauge their existing awareness of and attitudes toward smart HEMS, and we analyzed Amazon customer reviews of smart HEMS to better understand early adopters' motivations and experiences. Results revealed challenges to achieving energy benefits with existing products and marketing strategies, and implications for shaping the future of these technologies to achieve energy demand reductions and load shifting capabilities at scale for the smart home and smart grid of the future.;"[Sanguinetti, Angela; Karlin, Beth; Ford, Rebecca; Salmon, Kiernan; Dombrovski, Kelsea] SEE Change Inst, 414 Rose Ave, Venice, CA 90291 USA";;11;2018;Green Submitted, Green Accepted, Green Published
"Arthanat, S; Chang, H; Wilcox, J";Determinants of information communication and smart home automation technology adoption for aging-in-place;JOURNAL OF ENABLING TECHNOLOGIES;Article;"Assistive technology; Information communication technology; Structural equation modeling; Smart home; Aging-in-place; Home automation";"OLDER-ADULTS; USER ACCEPTANCE; CARE";Purpose Smart home (SH) internet of things can promote home safety, health monitoring and independence of older adults to age-in-place. Despite its commercial growth, low adoption rates of the technology among aging consumers remain a major barrier. The purpose of this study is to examine SH technology ownership of older adults and its causal pathways with demographics, health and functioning, home safety and information communication technology (ICT) use. Design/methodology/approach A survey on technology-mediated aging-in-place was completed by 447 respondents, 65 years and older. Structural equation modeling was used to underscore the causal pathways among demographics, health, independence and home safety, ICT and home automation technology adoption. Findings The study found that ICT usability, home security and independence have a significant direct effect on SH ownership. Demographics had no significant direct effect, but its influence was mediated through ICT usability. With home safety as mediator, physical impairment, falls and accidents and independence had a significant association with SH ownership. Similarly, increased social support (mediated through home security) decreased the probability of SH automation ownership. Originality/value The findings signify the perceived usefulness of SH automation as theorized in technology acceptance models.;"[Arthanat, Sajay; Wilcox, John] Univ New Hampshire, Coll Hlth & Human Serv, Dept Occupat Therapy, Durham, NH 03824 USA; [Chang Hong] Tufts Clin & Translat Sci Inst CTSI, Dept Biostat Epidemiol & Res Design BERD, Boston, MA USA";"University System Of New Hampshire; University of New Hampshire";6;2020;
"Baudier, P; Ammi, C; Deboeuf-Rouchon, M";Smart home: Highly-educated students' acceptance;TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE;Article;"Smart cities; Smart living; Smart home; Digital natives; TAM; UTAUT2";"INFORMATION-TECHNOLOGY; HEALTH-CARE; PERSONAL INNOVATIVENESS; ADOPTION INTENTIONS; ENERGY-CONSUMPTION; GENDER-DIFFERENCES; USAGE INTENTION; USER ACCEPTANCE; UNIFIED THEORY; LATE ADOPTERS";In the coming years, cities face an urban transition in order to manage their resources, public administration, safety, regional economics, education, innovation, health, culture, and entertainment an efficient way. The Smart City concept includes several smart dimensions relating to the environment, mobility, the economy, governance, people, and living. This study explores the impact of Smart home dimensions on highly-educated students, drawn from what is known as the digital native population, one of the key components of the smart living concept. As digital natives are already engaged with the adoption of new technologies and sustainable development, we have postulated that they would be keen to use smart technologies in the home that could improve their daily life while preserving the environment. This study tests a scale developed to measure consumer perception of the Smart Home Concept (SHC) and the impact on Performance Expectancy and Habit. The model was built using some of the constructs of existing technology acceptance models, such as the UTAUT2 and TAM2 models. Based on our findings, digital natives seem ready to adopt the SHC and our results highlight the fact that Smart Home products could be targeted at this specific population.;"[Baudier, Patricia] Leonard De Vinci Pole Univ, Res Ctr, 12 Ave Leonard De Vinci, F-92916 Paris, France; [Ammi, Chantal] Inst Mines Telecom Business Sch, 9 Rue Charles Fourier, F-91011 Evry, France; [Deboeuf-Rouchon, Matthieu] Altran Expertise Ctr Transformat Digitale, 14bis Terrasse Bellini, F-92807 Puteaux La Defense, France";;49;2020;
"Lutolli, E; Vrhovec, SLR";Adoption of smarthome devices: Blinded by benefits, ignoring the dangers?;ELEKTROTEHNISKI VESTNIK;Article;"smart home; internet of things; IoT; cyber security; cybersecurity; privacy; adoption; acceptance; use";SYSTEM;Smarthomes aim to facilitate everyday tasks of their residents. To achieve this, a substantial amount of data is being collected and analyzed in smarthome systems. Smarthomes are comprised of a myriad of individual smart devices (e.g., sensors, home appliances), control centers (e.g., smart TVs) and even systems (e.g., cooling system). Since these devices are connected to the internet (e.g., for remote management through mobile apps integrated into a manufacturer's cloud), they are threatened by cyberattacks and other dangers to security and privacy of smarthome residents. In the paper we try to determine which factors influence the adoption of smarthomes. A survey is conducted among internet users using convenience sampling (N = 120). Findings suggest that the use of smart devices is associated with benefits and knowledge of smarthomes but not with the perceived dangers nor presence of smarthomes. A probable explanation is that the benefits of smarthomes outweigh their dangers when individuals are deciding to adopt them.;"[Lutolli, Egzona; Vrhovec, Simon L. R.] Univ Maribor, Fac Criminal Justice & Secur, Kotnikova 8, Ljubljana 1000, Slovenia";University of Maribor;2;2019;
"Pal, D; Funilkul, S; Vanijja, V; Papasratorn, B";Analyzing the Elderly Users' Adoption of Smart-Home Services;IEEE ACCESS;Article;"Behavioral intention; elderly; quality of life; smart-homes";"TECHNOLOGY ACCEPTANCE MODEL; HEALTH-CARE SERVICE; QUALITY-OF-LIFE; AGING-IN-PLACE; OLDER-ADULTS; INFORMATION-TECHNOLOGY; SYSTEM; PEOPLE; INTENTION; INTERNET";A rapid increase in the percentage of elderly people over the past few years has been a cause of serious concern among the research fraternity worldwide. Active research is being carried out to leverage the benefits of information and communication technologies that enable them to live independently and promote a sense of overall well-being. Smart-homes are often employed to assist this group of people. However, there is a serious lack of relevant exploratory research that tries to measure and explain the intention of these people toward using such a service. In this paper, we propose and validate a new comprehensive research model called the elderly smart home technology acceptance model by extending the original technology acceptance model that can explain the elderly intention to use the smart-homes. An online questionnaire survey is conducted for this purpose, the results of which are analyzed using the Partial least squares Structural Equation Modeling approach on data collected from 254 subjects. Subjective norm, compatibility, automation, self-capability, and satisfaction are positively related to the elderly intention in using smarthomes, whereas there is a negative association between affordability, security/privacy, and usage intention. Two other factors, namely universal connectivity and enjoyment, have no effect on the behavioral intention. The present study is a first empirical attempt that tries to explore the adoption of smart-homes among the elderly, as all other previous research has focused only on the technical aspects and implementation issues rather than the actual usage intention.;"[Pal, Debajyoti; Vanijja, Vajirasak; Papasratorn, Borworn] King Mongkuts Univ Technol Thonburi, IP Commun Lab, Bangkok 10140, Thailand; [Funilkul, Suree] King Mongkuts Univ Technol Thonburi, Requirements Engn Lab, Bangkok 10140, Thailand";"King Mongkuts University of Technology Thonburi; King Mongkuts University of Technology Thonburi";39;2018;gold
"Mamonov, S; Koufaris, M";Fulfillment of higher-order psychological needs through technology: The case of smart thermostats;INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT;Article;"Smart home; Technology adoption; Techno-coolness; Compatibility";"EXPLORATORY FACTOR-ANALYSIS; INFORMATION PRIVACY RESEARCH; USER ACCEPTANCE; MECHANICAL TURK; DATA-COLLECTION; UNIFIED THEORY; DIGITAL-AGE; ADOPTION; GUIDELINES; DECISION";Smart home technologies (SHTs), such as smart thermostats, are a growing commercial opportunity. SHTs can offer a broad spectrum of potential functional, experiential and esthetic benefits, yet much of the prior research on the adoption of SHTs has been limited by a narrow TAM-based functional view. Relatively little is known about the salient user beliefs related to the experiential and esthetic benefits of SHTs that may affect SHT adoption. To address this gap in research, we conduct a mixed-methods study, wherein we inductively develop a set of factors that reflect salient user considerations associated with smart thermostats and we examine the effects of the elicited factors on the smart thermostat adoption intention. We find that performance expectancy, emphasized by TAM, has a relatively minor effect on the smart thermostat adoption intention and effort expectancy has no effect at all. We identify a novel factor, which we term techno-coolness, as the key predictor of the adoption intention in this context. Techno-coolness is a multidimensional construct that encompasses the perceptions that the technology can make a home look modern and futuristic, can make the user feel technologically advanced, and can be fun to use. Techno-coolness reveals that the technology capacity to fulfill higher-order psychological needs can dominate purely functional considerations in innovative technology adoption decisions.;"[Mamonov, Stanislav] Montclair State Univ, Dept Informat Management & Business Analyt, Feliciano Sch Business, 1 Univ Ave, Montclair, NJ 07043 USA; [Koufaris, Marios] Baruch Coll, Zicklin Sch Business, Dept Comp Informat Syst & Stat, 1 Bernard Baruch Way, New York, NY 10010 USA";"Montclair State University; City University of New York (CUNY) System; Baruch College (CUNY)";11;2020;
"Yang, H; Lee, W; Lee, H";IoT Smart Home Adoption: The Importance of Proper Level Automation;JOURNAL OF SENSORS;Article;;"USER ACCEPTANCE; INTERNET; TECHNOLOGY; SERVICES; MODELS; SYSTEM; THINGS";The word smart has been used in various fields and is widely accepted to mean intelligence. Smart home service, one of the representative emerging technologies in the IoT era, has changed house equipment into being more intelligent, remote controllable, and interconnected. However, the intelligence and controllability of a smart home service are contradictory concepts, under certain aspects. In addition, the level of intelligence or controllability of a smart home service that users want may differ according to the user. As potential users of smart home services have diversified in recent years, providing the appropriate functions and features is critical to the diffusion of the service. Thus, this study examines the smart home service features that current users require and empirically evaluates the relationship between the critical factors and the adoption behavior with 216 samples from Korea. The moderating effect of personal characteristics on behavior is also tested. The results of the analysis provide various theoretical and practical implications.;"[Yang, Heetae] Sci & Technol Policy Inst, Sejong Natl Res Complex,370 Sicheong Daero, Sejong Si 30147, South Korea; [Lee, Wonji] Dankook Univ, Interdisciplinary Grad Program IT Law, 152 Jukjeon Ro, Yongin 16890, Gyeonggi Do, South Korea; [Lee, Hwansoo] Dankook Univ, Dept Convergence Secur, 152 Jukjeon Ro, Yongin 16890, Gyeonggi Do, South Korea";"Science & Technology Policy Institute (STEPI), Republic of Korea; Dankook University; Dankook University";28;2018;Green Submitted, Green Published, gold
"Shank, DB; Wright, D; Lulham, R; Thurgood, C";Knowledge, Perceived Benefits, Adoption, and Use of Smart Home Products;INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION;Article;;"TECHNOLOGY ACCEPTANCE MODEL; INFORMATION-TECHNOLOGY";What are the relationships between knowledge of, perceived benefits, adoption of, and use of smart home products? To explore this question, in our first two studies we focus on the general population's perceptions of benefits across many types of smart home products by creating a corpus of smart home product descriptions. Study 1 (n = 399) shows that previous product knowledge influences a range of perceived benefits. Study 2 (n = 242) demonstrates which benefits increase non-owners' likelihood of adopting these products. In study 3, we longitudinally survey eight residents in living laboratory houses equipped with 10 integrated smart home products. We find over a year access to the products increases perceptions of their benefits, but does not increase their actual use. Collectively, these studies contribute to an increased understanding of the relationship among benefits, use, and adoption of this emerging technology.;"[Shank, Daniel B.] Missouri Univ Sci & Technol, Dept Psychol Sci, H-SS Bldg 500 W 14th St, Rolla, MO 65409 USA; [Wright, David] Missouri Univ Sci & Technol, Dept English & Tech Commun, Rolla, MO 65409 USA; [Lulham, Rohan] Univ Technol Sydney, Design Innovat Res Ctr, Sydney, NSW, Australia; [Thurgood, Clementine] Swinburne Univ Technol, Sch Design, Melbourne, Vic, Australia";"University of Missouri System; Missouri University of Science & Technology; University of Missouri System; Missouri University of Science & Technology; University of Technology Sydney; Swinburne University of Technology";5;2021;
"Tural, E; Lu, DN; Cole, DA";Safely and Actively Aging in Place: Older Adults' Attitudes and Intentions Toward Smart Home Technologies;GERONTOLOGY AND GERIATRIC MEDICINE;Article;"aging-in-place; older people; smart home; smart home technology; technology acceptance model";"USER ACCEPTANCE; DIGITAL DIVIDE; INFORMATION; BARRIERS; ADOPTION; PEOPLE";As smart technology use is growing in residential environments, research on how such technologies can provide opportunities for safely and actively aging in place by integrating physical activity into daily routines and reducing sedentariness is scarce. This study investigated older adults' intentions to use and attitudes toward currently available smart home technologies that could contribute to safe and active lives in and around home. The focus was on four representative technologies: smart lighting, smart door locks, smart fire prevention devices, and smart home systems/home automation. This paper presents the results of a sequential mixed-methods study comprised of online and in-person surveys (n = 129), and a focus group of community-dwelling older adults, aged 50+ (n = 15). Ordinal regression analyses indicated that perceived usefulness consistently predicts older adults' attitudes and willingness to use smart home products. While smart fire prevention devices were viewed most favorably due to their potential safety benefits, perceived affordability significantly influenced older adults' intentions to use them in their homes. The focus group findings underscore technology skepticism, privacy concerns and return on investment as significant determinants of attitudes toward the smart design products. The study has implications of designers and manufacturers by providing insights on how to prioritize smart home technology integrations to homes.;"[Tural, Elif; Lu, Danni; Cole, D. Austin] Virginia Tech, Blacksburg, VA 24061 USA";Virginia Polytechnic Institute & State University;4;2021;gold, Green Published
"Marikyan, D; Papagiannidis, S; Alamanos, E";Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users;INFORMATION SYSTEMS FRONTIERS;"Article; Early Access";"Digitalisation; Cognitive dissonance; Coping mechanisms; Smart homes; Wellbeing";"INFORMATION-TECHNOLOGY; EXPECTATION-DISCONFIRMATION; COMPUTER EXPERIENCE; ONLINE RETAILERS; VIRTUAL-REALITY; USAGE BEHAVIOR; MEDIATING ROLE; SELF-EFFICACY; BIG DATA; MODEL";This study aims to address a research gap related to the outcomes of the use of technology when the performance falls short of initial expectations, and the coping mechanisms that users may deploy in such circumstances. By adopting Cognitive Dissonance Theory, the objectives of the study are a) to examine how dissonance, caused by the negative disconfirmation of expectations, may translate into a positive outcome and b) study how negative emotions, such as anger, guilt and regret, determine the selection of the mechanism to reduce dissonance. The theorised model was tested using a cross-sectional research design and a sample of 387 smart home users. The focus on smart home users fitted the objectives of the study due to the high expectations that users form and the challenges that the utilisation of technology sometimes causes. The collected data was analysed using structural equation modelling. Findings indicate that post-disconfirmation dissonance induces feelings of anger, guilt and regret, correlating with dissonance reduction mechanisms, which in turn have a distinctive effect on satisfaction and wellbeing. The findings of the study contribute to the discussion on expectation-disconfirmation and cognitive dissonance, by illustrating the interrelationship between emotional, cognitive and behavioural factors following the evaluation of technology performance and confirming that negative disconfirmation may result in satisfaction.;"[Marikyan, Davit; Papagiannidis, Savvas; Alamanos, Eleftherios] Newcastle Univ, Business Sch, 5 Barrack Rd, Newcastle Upon Tyne NE1 4SE, Tyne & Wear, England";Newcastle University - UK;27;;Green Published, hybrid
Nikou, S;Factors driving the adoption of smart home technology: An empirical assessment;TELEMATICS AND INFORMATICS;Article;"Internet of Things; Perceived consumer innovativeness; Perceived cost; Smart home technology";"INFORMATION-TECHNOLOGY; ACCEPTANCE MODEL; USER ACCEPTANCE; PERSONAL INNOVATIVENESS; CONSUMER INNOVATIVENESS; AUTOMOTIVE INDUSTRY; PERCEIVED RISK; UNIFIED THEORY; SERVICES; INTERNET";Smart home technology, an application of Internet of Things (IoT), provides households with e.g., comfort, control and convenience. The technology has been around for sometimes, but its prevalence is not yet widespread, and thus the potentials have largely been underestimated. The purpose of this paper is to develop a comprehensive model that can explain a large percentage of variance in the intention to use smart home technology. To do so, this paper, based on technology acceptance model, diffusion of innovation theory and consumer perceived innovativeness, proposes an integrated model and validates it through Structural Equation Modelling on data collected from 156 respondents. The results reveal that compatibility, perceived usefulness and perceived ease of use are important determinants affecting the adoption of smart home technology. Moreover, trialability while show no direct effect on the intention to use, its affect is realized indirectly via constructs of PU and PEoU. The SEM results also show that the perceived cost negatively impacts the intention to use. This paper is one of the first empirical attempt that includes consumer perceived innovativeness in the model. This paper contributes to the literature of IoT, in particular to smart home technology research. Some theoretical and practical implications are discussed.;[Nikou, Shahrokh] Abo Akad Univ, Dept Informat Studies, Fanrisksgatan 3 B, SF-20500 Turku, Finland;Abo Akademi University;40;2019;
"Arthanat, S; Wilcox, J; Macuch, M";Profiles and Predictors of Smart Home Technology Adoption by Older Adults;OTJR-OCCUPATION PARTICIPATION AND HEALTH;Article;"aging-in-place; smart home technology; home automation; information and communication technology; gerontechnology";"INFORMATION; ACCEPTANCE; PEOPLE";"The commercial popularity of smart home (SH) technology has broadened the scope of aging-in-place and home health occupational therapy. The objective of this article is to examine ownership of SH technology by older adults, their readiness to adopt SH technology, and identify the client factors relating to the adoption. A survey of older adults aged 60 and above living in the community was conducted. Respondents (N = 445) who were women; in the age group of 60 to 70 years; living in a two-level home, with a body function impairment; with a fall history; and experienced in information and communication technology (ICT) were significantly likely to be brisk adopters of SH (p < .05). Stepwise regression model identified marital status, home security, and overall ICT ownership as the predictors of SH ownership, whereas being female, concern over home security, and perceived independence contributed to SH readiness (p < .05). Consideration of the identified client profiles, health, and personal factors will strengthen SH integration for aging-in-place.";"[Arthanat, Sajay; Wilcox, John; Macuch, Mackenzie] Univ New Hampshire, Durham, NH 03824 USA";"University System Of New Hampshire; University of New Hampshire";17;2019;Green Accepted
"Vrain, E; Wilson, C";Social networks and communication behaviour underlying smart home adoption in the UK;ENVIRONMENTAL INNOVATION AND SOCIETAL TRANSITIONS;Article;"Diffusion of Innovations; Social mechanisms; Climate change; Consumer-facing technology; Energy demand";;Consumer-facing digital innovations with the potential to reduce carbon emissions often exist in small market niches and their impact has been limited thus far. Using the established Diffusion of Innovations theory which considers interpersonal communication amongst social networks to be a vital mechanism for exchanging information, we conducted an online survey in the UK to investigate the social networks and communication behaviours of adopters and non-adopters of three different energy saving smart home technologies. Applying social network analysis and statistically testing hypotheses, our results reveal the potential social barriers to the diffusion of information, with social network structure and characteristics creating obstacles. This research provides necessary insights into real early adopters, confirms the importance of focussing research on the often-neglected social elements of diffusion theory and helps identify marketing strategies and policy actions using social mechanisms to accelerate a low carbon transition.;"[Vrain, Emilie; Wilson, Charlie] Univ East Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England";University of East Anglia;7;2021;Green Accepted, Green Submitted
"Shuhaiber, A; Mashal, I";Understanding users' acceptance of smart homes;TECHNOLOGY IN SOCIETY;Article;"Internet of things; User acceptance; Smart home; Personal factors; Technology acceptance model";STRUCTURAL EQUATION MODELS;Smart homes allow owners to monitor and control wide range of home appliances remotely and intelligently. Despite its potential, the acceptance of smart homes by residents is still far from expectations. Thus, this study aims to investigate the factors that influence residents' acceptance and usage of smart home. By extending the Technology Acceptance Model (TAM), this research incorporates more factors related to users such as trust, awareness, enjoyment, and perceived risks to study intention to use smart homes and investigate their impact quantitatively by using SEM-PLS approach. Results show that trust, awareness, enjoyment, and perceived risks, with perceived usefulness and perceived ease of use significantly influence attitude towards smart homes which, in turn, impact the intention to use smart homes.;"[Shuhaiber, Ahmed] Zayed Univ, Coll Technol Innovat, Abu Dhabi, U Arab Emirates; [Mashal, Ibrahim] Aqaba Univ Technol, Fac Informat Technol, Comp Sci Dept, Aqaba, Jordan";Zayed University;45;2019;
"Mamonov, S; Benbunan-Fich, R";Unlocking the smart home: exploring key factors affecting the smart lock adoption intention;INFORMATION TECHNOLOGY & PEOPLE;Article;"Innovation; End users; Adoption; IT artifact; Access control; Ubiquitous system";"INFORMATION-TECHNOLOGY; USER ACCEPTANCE; UNIFIED THEORY; GENDER-DIFFERENCES; MECHANICAL TURK; DATA-COLLECTION; MIXED-METHODS; DETERMINANTS; SERVICES; INTERNET";Purpose This study examines the factorial structure of salient user beliefs associated with smart locks. We also examine the predictive value of the identified constructs on the smart lock adoption intention and we evaluate gender differences in the predictive value of the identified constructs. Design/methodology/approach The study assumes pragmatic epistemological stance and it leverages mixed-methods research design. The research progresses through three stages: belief elicitation, exploratory factor analysis and confirmatory factor analysis within a nomological network. New groups of participants were recruited for each stage of the study. Findings We find that while potential adopters express a broad range of perceived benefits and concerns associated with smart locks, only the perceived relative advantage of smart locks vis-a-vis conventional locks in providing safety and security is significantly correlated with adoption intention for both genders. We also find that perceived novel benefits are a significant predictor of the smart lock adoption intention for women, but not for men. Research limitations/implications Our results indicate that perceived relative advantage can be the singular critical consideration in the adoption of smart home technologies that replace incumbent solutions. The results also demonstrate that gender-specific models can better capture gender effects that influence technology adoption and use. Practical implications Smart home technology vendors would need to convince prospective users that new technology is better than the incumbent solutions on the core affordances of the incumbent technology. Men and women differ in the consideration of novel benefits afforded by novel technologies. Originality/value This is among the first studies to examine salient beliefs that affect smart home technology adoption. The findings suggest that the traditional models (TAM, UTAUT) do not capture the key salient beliefs that can influence innovative smart home technology adoption. The study also suggests that gendered models are needed to understand technology adoption in contexts where technology adoption intersects with gender roles.;"[Mamonov, Stanislav] Montclair State Univ, Dept Informat Management & Business Analyt, Montclair, NJ 07043 USA; [Benbunan-Fich, Raquel] Baruch Coll, Paul H Chook Dept Comp Informat Syst & Stat, New York, NY 10021 USA";"Montclair State University; City University of New York (CUNY) System; Baruch College (CUNY)";6;2021;
"Hong, A; Nam, C; Kim, S";What will be the possible barriers to consumers' adoption of smart home services?;TELECOMMUNICATIONS POLICY;Article;"Smart home; Internet of things; Barriers; Resistance; Perceived risk; Uncertainty";"PERCEIVED RISK; USER ACCEPTANCE; TECHNOLOGY; UNCERTAINTY; RESISTANCE; SYSTEMS; INTANGIBILITY; INTEGRATION; ATTITUDES; INTERNET";Recently, smart home services have come to the forefront as part of the growing market for the Internet of Things. Since these smart home services were introduced, they have been expected to grow rapidly. However, contrary to optimistic expectations for future market growth, the smart home market has appeared to hit a roadblock and remains at an early market stage. This study attempts to identify the possible barriers that consumers perceive when they are introduced to smart home services. Based on the resistance theory and perceived risk model, we investigate the relationship between perceived risk and resistance to smart home services, using technological uncertainty and service intangibility as the antecedents of perceived risk. Dividing perceived risk into four dimensions performance risk, financial risk, privacy risk, and psychological risk the empirical results show that these four risk types are affected by technology uncertainty and service intangibility, and the perceived risks, except for financial risk, have positive effects on the resistance to smart home services. When the survey respondents are divided into two types, postponers and rejecters, the result of postponers is similar with that of total sample, except that privacy risk is unimportant to postponers, and the result of rejecter cannot satisfy the recommended model fit.;"[Hong, Areum; Nam, Changi] Korea Adv Inst Sci & Technol, Sch Business & Technol Management, Coll Business, N22,291 Daehak Ro, Daejeon 34141, South Korea; [Kim, Seongcheol] Korea Univ, Sch Media & Commun, 145 Anam Dong, Seoul 02841, South Korea";"Korea Advanced Institute of Science & Technology (KAIST); Korea University";31;2020;
"Park, E; Cho, Y; Han, J; Kwon, SJ";Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment;IEEE INTERNET OF THINGS JOURNAL;Article;"Compatibility; connectedness; Internet of Things (IoT); technology acceptance model (TAM)";"TECHNOLOGY ACCEPTANCE; CONSUMER ADOPTION; PERCEIVED VALUE; SOUTH-KOREA; FIT INDEXES; MODEL; INTENTION; SERVICES; COMPATIBILITY; CHALLENGES";With rapid improvements in communication technologies and infrastructure, the Internet of Things (IoT) has become a promising sector within the global information and communication technology industry. Various fields are employing the concept of IoT for their traditional products and services for convenient use by consumers. In the construction industry, the majority of leading companies and organizations are using IoT technologies in a smart home environment. However, only few studies have focused on the user experience of IoT technologies in such an environment. Thus, the current study explores the key determinants of user acceptance of IoT technologies in a smart home environment, and investigates a research model integrated with five potential user factors and a technology acceptance model. The results of the collected data, which were investigated using a structural equation modeling method, show that three positive motivations, compatibility, connectedness, and control, and a negative hindrance, cost, are significant determinants of the technology acceptance behavior of users. The current study can serve as a foundation for future studies on improving IoT technologies in a smart home environment by considering the user experience.;"[Park, Eunil; Cho, Yongwoo; Han, Jinyoung] Hanyang Univ, Coll Comp, Seoul, South Korea; [Park, Eunil; Cho, Yongwoo; Han, Jinyoung] Hanyang Univ, Grad Sch Human Comp Interact, Seoul, South Korea; [Kwon, Sang Jib] Dongguk Univ, Dept Business Adm, Gyeongju, South Korea";"Hanyang University; Hanyang University; Dongguk University";88;2017;
"Yang, H; Lee, H; Zo, H";User acceptance of smart home services: an extension of the theory of planned behavior;INDUSTRIAL MANAGEMENT & DATA SYSTEMS;Article;"Interoperability; Mobility; Theory of planned behaviour; Automation; Security/privacy risk; Smart home services";"MOBILE HEALTH-SERVICES; TECHNOLOGY ACCEPTANCE; E-COMMERCE; ADOPTION; MODEL; DETERMINANTS; INTENTION; INTERNET; RISK; PERSPECTIVES";Purpose - The purpose of this paper is to develop a comprehensive research model that can explain potential customers' behavioral intentions to adopt and use smart home services. Design/methodology/approach - This study proposes and validates a new theoretical model that extends the theory of planned behavior. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 216 survey samples. Findings - Mobility, security/privacy risk, and trust in the service provider are important factors affecting the adoption of smart home services. Practical implications - To increase potential users' adoption rate, service providers should focus on developing mobility-related services that enable people to access smart home services while on the move using mobile devices via control and monitoring functions. Originality/value - This study is the first empirical attempt to examine user acceptance of smart home services, as most of the prior literature has concerned technical features.;"[Yang, Heetae] Samsung Econ Res Inst, Seoul, South Korea; [Lee, Hwansoo] Dankook Univ, Interdisciplinary Grad Program IT Law, Yongin, South Korea; [Zo, Hangjung] Korea Adv Inst Sci & Technol, Dept Business & Technol Management, Daejeon, South Korea";"Samsung; Dankook University; Korea Advanced Institute of Science & Technology (KAIST)";113;2017;
"Ehrenhard, M; Kijl, B; Nieuwenhuis, L";Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population;TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE;Article;"Smart Home; Aging; Market adoption; Platform; Business ecosystem; Value network";"PLATFORM; SERVICE; INNOVATIONS; DYNAMICS; NETS; RISE";For more than a decade, the Smart Home has promised to offer a better quality of life by connecting in-house devices and monitoring their usage. Such platform-based configurational technology has demonstrated the potential to improve comfort, healthcare, safety and security, and energy conservation both at home and in the office. Moreover, since these technologies foster users' independence, Smart Homes can be both an answer to an aging workforce and a large market for an aging customer base. Nonetheless, so far market adoption has mostly been limited to the luxury segment and the more basic stand-alone technologies. Therefore, the main question driving this study is why Smart Home technology is so scarcely implemented despite its benefits to an aging population. From the literature we derive key market barriers in Smart Home value networks. We expand on these findings by means of a value network analysis of a Dutch smart home implementation case. In addition, we conducted 14 interviews that provide more insight into the value network of specific Smart Home services. Based on our case findings we develop a generic value network for Smart Homes and propose opportunities to improve market adoption of Smart Home technologies. (C) 2014 Elsevier Inc. All rights reserved.;"[Ehrenhard, Michel; Kijl, Bjorn; Nieuwenhuis, Lambert] Univ Twente, NIKOS, Netherlands Inst Knowledge Intens Entrepreneurshi, NL-7500 AE Enschede, Netherlands";University of Twente;63;2014;
"Shank, DB; Wright, D; Nasrin, S; White, M";Discontinuance and Restricted Acceptance to Reduce Worry after Unwanted Incidents with Smart Home Technology;INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION;"Article; Early Access";;"INFORMATION-TECHNOLOGY; ADOPTION; DIFFUSION; REJECTION; SERVICES; MODEL";Interest in and ownership of smart home voice assistants like Amazon Alexa and Google Home devices have exponentially increased in recent years. Many people may purchase or be gifted such devices without knowing their potential for connecting with other home technology, listening to private conversations, sharing information with companies, and creating problems due to misunderstanding vocal commands or technological capabilities. Concerns and worries about these devices may be exacerbated over time or by a specific incident. To understand reactions to such situations, we conducted semi-structured in-depth interviews with 10 people who reported different types of worrying incidents with a range of smart home devices and their reactions to reduce that worry. Conducting a thematic coding analysis, we detail how each case study shows a person's worries about their smart home technology developed vis-a-vis the incident or over time, and their strategies to alleviate their worry. The two dominant reactions were restricted acceptance or discontinuance of the smart home technology, while three other interviews revealed nuanced reactions on the acceptance-rejection continuum. For each interviewee, we highlight their technology use, any major incidents, and their psychological processes leading up to their actions to reduce worry. This provides an in-depth look at worry around smart home technology products themselves, not their ability to perform, and how discontinuance, restricted acceptance, and other reactions reduce those worries.;"[Shank, Daniel B.] Missouri Univ Sci & Technol, Psychol, Rolla, MO 65409 USA; [Wright, David] Missouri Univ Sci & Technol, English & Tech Commun, Rolla, MO 65409 USA; [Nasrin, Sumina; White, Mariter] Missouri Univ Sci & Technol, Rolla, MO 65409 USA";"University of Missouri System; Missouri University of Science & Technology; University of Missouri System; Missouri University of Science & Technology; University of Missouri System; Missouri University of Science & Technology";0;;
"Canziani, B; MacSween, S";Consumer acceptance of voice-activated smart home devices for product information seeking and online ordering;COMPUTERS IN HUMAN BEHAVIOR;Article;"Voice-activated device; Amazon Alexa; Hedonic; Opinion seeking; Recommendation agents";"GENDER-DIFFERENCES; PERSONAL ASSISTANT; UNIFIED THEORY; OLDER-ADULTS; TECHNOLOGY; INTERNET; LOCUS; COMMUNICATION; DECISION; MODEL";This paper explores how voice-activated smart home devices (SHDs) like Amazon Alexa and Google Home influence consumers? retail information seeking and ordering behaviors. The impacts of device utility and hedonic perceptions of voice are examined in an extension of the Technology Acceptance Model (TAM). The authors augment existing principles of technology acceptance theories by adding specific drivers of opinion-seeking behavior to better comprehend consumers? perceptions of device utility for online retail activity. Both gender and generation were found to influence consumer intentions to use SHDs for online ordering of products. A rationale for future research on consumer interaction with SHDs is offered.;"[Canziani, Bonnie; MacSween, Sara] Univ North Carolina Greensboro, Bryan Sch Business & Econ, Dept Mkt Entrepreneurship Hospitality & Tourism, POB 26170, Greensboro, NC 27402 USA";"University of North Carolina; University of North Carolina Greensboro";16;2021;
"Pal, D; Arpnikanondt, C; Funilkul, S; Razzaque, MA";Analyzing the adoption and diffusion of voice-enabled smart-home systems: empirical evidence from Thailand;UNIVERSAL ACCESS IN THE INFORMATION SOCIETY;Article;"End-user adoption; Smart-homes; Technology acceptance model; Technology diffusion; Voice assistants";"ATTITUDE-BEHAVIOR GAP; TECHNOLOGY ACCEPTANCE; STRATEGIC MANAGEMENT; CONSUMER ACCEPTANCE; SERVICES; INTENTION; PRIVACY; ALEXA; ASSISTANTS; PREFERENCE";"The market for voice assistants (VAs) and other allied voice-based smart-home products is gradually emerging. The initial growth has been slower than expected; therefore, an in-depth simultaneous intention and diffusion analysis is needed for identifying the relevant factors along with finding out the target consumers. This work uses technology acceptance model as the core for analyzing the adoption intention of the VA-based system and extends it with three additional factors: compatibility, perceived complementarity and privacy concerns. The diffusion analysis for the same is done using the multivariate probit model. Certain characteristics of the VA-based systems like the network effects between the products/services and the importance of protecting personal information are considered in this work, apart from various demographic variables like age, gender, income and education levels. Two separate surveys were conducted for the purpose of data collection from 315 and 1945 participants residing in Thailand for analyzing the adoption and diffusion scenario, respectively. The results show that usefulness, ease of use, compatibility and perceived complementarity have significant positive effects on the purchase intention. In terms of diffusion of the VA market, unlike other Information Communication Technology-based products/services, the results show that the senior consumers are more likely to purchase the VAs and other allied smart-home devices within a given time frame when compared to the younger consumers. Therefore, new strategies should be developed that promote the usage of VAs by the young population for increasing the market demand.";"[Pal, Debajyoti; Arpnikanondt, Chonlameth; Funilkul, Suree] King Mongkuts Univ Technol Thonburi, Sch IT, Bangkok, Thailand; [Razzaque, Mohammad Abdur] Teesside Univ, Sch Comp Engn & Digital Technol, Middlesbrough, Cleveland, England";"King Mongkuts University of Technology Thonburi; University of Teesside";11;2021;
"Wang, XQ; McGill, TJ; Klobas, JE";I Want It Anyway: Consumer Perceptions of Smart Home Devices;JOURNAL OF COMPUTER INFORMATION SYSTEMS;Article;"Internet of things; smart home devices; adoption intention; net valance model";"VALUE-BASED ADOPTION; INFORMATION-TECHNOLOGY; SERVICES ADOPTION; USER ACCEPTANCE; PERCEIVED RISK; INTENTION; MODEL; DETERMINANTS; MAINSTREAM; VARIANCE";Smart home devices form a significant part of the Internet of Things market and can provide benefits such as convenience and energy efficiency. They also have potential privacy and security risks as they collect information constantly. In order to examine how benefit and risk factors influence individuals' intentions to adopt smart home devices, we developed a net valence model that integrates both positive factors and risk factors. The model was tested using data collected using an online questionnaire. The results show that individuals tend to ignore the potential risks and focus more on potential benefits resulting from using smart home devices. Performance expectancy and compatibility were found to be positively related to perceived benefits. However, neither effort expectancy nor image were. Among the proposed dimensions of risk, only privacy risk, performance risk, and time risk significantly influenced perceived risk. Security risk and financial risk did not influence it.;"[Wang, Xuequn; McGill, Tanya Jane; Klobas, Jane E.] Murdoch Univ, 90 South St, Perth, WA 6150, Australia";Murdoch University;13;2020;
"Peek, STM; Luijkx, KG; Vrijhoef, HJM; Nieboer, ME; Aarts, S; van der Voort, CS; Rijnaard, MD; Wouters, EJM";Understanding changes and stability in the long-term use of technologies by seniors who are aging in place: a dynamical framework;BMC GERIATRICS;Article;"Dynamical systems theory; Longitudinal qualitative research; Aging in place; Technology acceptance; Technology adoption; Smart home; E-health; ICT; Gerontechnology; Consumer appliances";"ACCEPTANCE MODEL; INFORMATION-TECHNOLOGY; OLDER-ADULTS; AGENDA; STATE";Background If technologies are to support aging in place, then it is important to develop fundamental knowledge on what causes stability and changes in the use of technologies by seniors. However, longitudinal studies on the long-term use of technologies that have been accepted into the home (i.e., post-implementation use) are very scarce. Many factors potentially could influence post-implementation use, including life events, age-related decline, changes in personal goal orientation, and various types of social influences. The aforementioned factors are likely to be interrelated, adding to the complexity. The goal of this study is to better understand changes and stability in the use of technologies by independent-living seniors, by using a dynamical systems theory approach. Methods A longitudinal qualitative field study was conducted involving home visits to 33 community-dwelling seniors in the Netherlands, on three occasions (2012-2014). Interviews were held on technology usage patterns, including reasons for stable, increased, declined and stopped use. Technologies were included if they required electric power in order to function, were intended to be used in or around the home, and could support activities of daily living, personal health or safety, mobility, communication, and physical activity. Thematic analysis was employed, using constant case comparison to better understand dynamics and interplay between factors. In total, 148 technology use patterns by 33 participants were analyzed. Results A core of six interrelated factors was closely linked to the frequency of technology use: emotional attachment, need compatibility, cues to use, proficiency to use, input of resources, and support. Additionally, disruptive forces (e.g., social influences, competition with alternative means, changes of personal needs) could induce change by affecting these six factors. Furthermore, long-term technology use was in some cases more resilient to disruption than in other cases. Findings were accumulated in a new framework: Dynamics In Technology Use by Seniors (DITUS). Conclusions Similar to aging, the use of technologies by older people is complex, dynamic and personal. Periods of stability and change both occur naturally. The DITUS framework can aid in understanding stability and instability of technology use, and in developing and implementing sustainable technological solutions for aging in place.;"[Peek, S. T. M.; Luijkx, K. G.; Vrijhoef, H. J. M.; Wouters, E. J. M.] Tilburg Univ, Sch Social & Behav Sci, Dept Tranzo, Tilburg, Netherlands; [Peek, S. T. M.; Nieboer, M. E.; Aarts, S.; van der Voort, C. S.; Rijnaard, M. D.; Wouters, E. J. M.] Fontys Univ Appl Sci, Inst Allied Hlth Profess, Chair Hlth Innovat & Technol, Eindhoven, Netherlands; [Vrijhoef, H. J. M.] Panaxea Bv, Amsterdam, Netherlands; [Vrijhoef, H. J. M.] Maastricht Univ, Med Ctr, Dept Patient & Care, Maastricht, Netherlands; [Vrijhoef, H. J. M.] Vrije Univ Brussel, Dept Family Med & Chron Care, Brussels, Belgium";"Tilburg University; Maastricht University; Vrije Universiteit Brussel";21;2019;Green Published, gold
"Peek, STM; Luijkx, KG; Rijnaard, MD; Nieboer, ME; van der Voort, CS; Aarts, S; van Hoof, J; Vrijhoef, HJM; Wouters, EJM";Older Adults' Reasons for Using Technology while Aging in Place;GERONTOLOGY;Article;"Aging in place; Technology acceptance; Technology adoption; Information and communication technologies; Gerontechnology; Consumer appliances; Smart home; E-health; Qualitative research; Model";"USER ACCEPTANCE; PEOPLE; ATTITUDES; ADOPTION; HEALTH; NONUSE; MODEL; WELL";"Background: Most older adults prefer to age in place, and supporting older adults to remain in their own homes and communities is also favored by policy makers. Technology can play a role in staying independent, active and healthy. However, the use of technology varies considerably among older adults. Previous research indicates that current models of technology acceptance are missing essential predictors specific to community-dwelling older adults. Furthermore, in situ research within the specific context of aging in place is scarce, while this type of research is needed to better understand how and why community-dwelling older adults are using technology. Objective: To explore which factors influence the level of use of various types of technology by older adults who are aging in place and to describe these factors in a comprehensive model. Methods: A qualitative explorative field study was set up, involving home visits to 53 community-dwelling older adults, aged 68-95, living in the Netherlands. Purposive sampling was used to include participants with different health statuses, living arrangements, and levels of technology experience. During each home visit: (1) background information on the participants' chronic conditions, major life events, frailty, cognitive functioning, subjective health, ownership and use of technology was gathered, and (2) a semistructured interview was conducted regarding reasons for the level of use of technology. The study was designed to include various types of technology that could support activities of daily living, personal health or safety, mobility, communication, physical activity, personal development, and leisure activities. Thematic analysis was employed to analyze interview transcripts. Results: The level of technology use in the context of aging in place is influenced by six major themes: challenges in the domain of independent living; behavioral options; personal thoughts on technology use; influence of the social network; influence of organizations, and the role of the physical environment. Conclusion: Older adults' perceptions and use of technology are embedded in their personal, social, and physical context. Awareness of these psychological and contextual factors is needed in order to facilitate aging in place through the use of technology. A conceptual model covering these factors is presented. (C) 2015 S. Karger AG, Basel";"[Peek, Sebastiaan T. M.; Rijnaard, Maurice D.; Nieboer, Marianne E.; van der Voort, Claire S.; Aarts, Sil; Wouters, Eveline J. M.] Fontys Univ Appl Sci, Inst Allied Hlth Profess, Chair Hlth Innovat & Technol, Eindhoven, Netherlands; [van Hoof, Joost] Fontys Univ Appl Sci, Ctr Healthcare & Technol, Eindhoven, Netherlands; [Peek, Sebastiaan T. M.; Luijkx, Katrien G.; Vrijhoef, Hubertus J. M.] Tilburg Univ, Sch Social & Behav Sci, Dept Tranzo, NL-5000 LE Tilburg, Netherlands; [Peek, Sebastiaan T. M.] Dominee Theodor Fliednerstr 2, NL-5631 BN Eindhoven, Netherlands";Tilburg University;189;2016;Green Published, hybrid
"Abebe, M; Myint, PPA";BOARD CHARACTERISTICS AND THE LIKELIHOOD OF BUSINESS MODEL INNOVATION ADOPTION: EVIDENCE FROM THE SMART HOME INDUSTRY;INTERNATIONAL JOURNAL OF INNOVATION MANAGEMENT;Article;"Business model innovation; board of directors; CEO duality; corporate governance; innovation";"CEO DUALITY; ORGANIZATIONAL PERFORMANCE; FINANCIAL PERFORMANCE; CORPORATE-DIRECTORS; FIRM PERFORMANCE; STRATEGY; INVOLVEMENT; SIZE; OWNERSHIP; POWER";What role does the board of directors play in fostering organisational innovation? This study contributes to this conversation by exploring the relationship between board characteristics and business model innovation adoption. Drawing from resource dependence theory and using the smart home business model as our context, we examined the relationship among board size, CEO duality and proportion of outside directors on the likelihood of business model innovation adoption. Our analysis of 96 firms indicates that both board size and CEO duality significantly increase the likelihood of business model innovation adoption. Our findings highlight the important resource provision role boards play in promoting organisational innovation.;"[Abebe, Michael; Myint, Phyu Phyu Aung] Univ Texas Rio Grande Valley, Vackar Coll Business & Entrepreneurship, Dept Management, 1201 W Univ Dr, Edinburg, TX 78539 USA";"University of Texas System; University of Texas Rio Grande Valley";9;2018;
"Alaiad, A; Zhou, LN";Patients' Adoption of WSN-Based Smart Home Healthcare Systems: An Integrated Model of Facilitators and Barriers;IEEE TRANSACTIONS ON PROFESSIONAL COMMUNICATION;Article;"Internet of things; smart home healthcare systems; usability; wireless-sensor network";"CONSUMER ACCEPTANCE; INFORMATION-TECHNOLOGY; USER ACCEPTANCE; UNIFIED THEORY; INTERNET; FAILURE; USAGE";Background: Patient-centered care emphasizes care coordination and communication through active involvement of patients, their families, physicians, and other professionals to improve decision making. Smart telecommunication technology and the Internet of Things, such as wireless-sensor-network-based smart home healthcare systems (WSN-SHHS) facilitate communication and collaboration among these different roles. Research problem: Despite the great potential of such systems to improve the quality and experience, and lower the cost of health care, the technology has not been widely adopted partly due to an inadequate understanding of user expectations, needs, and preferences. This study addresses facilitators and barriers with regard to WSN-SHHS adoption by identifying important sociotechnical, cognitive, affective, and contextual factors. Research questions: What are the main facilitators and barriers of patients' adoption of WSN-SHHS? How can we contextualize a generic technology adoption model for WSN-SHHS that takes into account unique characteristics of the domain? Literature review: We surveyed the literature in WSN-SHHS research and application, technology adoption theories, and the pleasure-arousal-dominance emotional state model. We discovered that WSN-SHHS research has focused on technology development but has given little attention to the issue of patients' adoption. Methodology: We used a mixed method design that combined an interview and survey over two studies. Participants were recruited from home healthcare agencies in the eastern US. In semistructured interviews, we collected data from 15 home healthcare patients and medical professionals, and analyzed the data using Kvale's approach. In our online-and paper-based surveys, we analyzed the data from 140 respondents using partial least square. Results and conclusions: We identified several new constructs in relation to WSN-SHHS adoption, including human detachment concerns, privacy concerns, life-quality expectancy and cost concerns. In addition, we confirmed the constructs from the general adoption model. Based on the findings of the qualitative study, the researchers created a research model. The quantitative study provided empirical support for the model, which has substantial predictive power accounting for more than half of the variance in WSN-SHHS adoption. In particular, our findings reveal that human detachment concerns rather than performance expectancy is the strongest predictor of patients' adoption of WSN-SHHS.;"[Alaiad, Ahmad] Jordan Univ Sci & Technol, Irbid 22110, Jordan; [Zhou, Lina] Univ Maryland Baltimore Cty, Baltimore, MD 21250 USA";"Jordan University of Science & Technology; University System of Maryland; University of Maryland Baltimore County";60;2017;
"Klobas, JE; McGill, T; Wang, XQ";How perceived security risk affects intention to use smart home devices: A reasoned action explanation;COMPUTERS & SECURITY;Article;"Information security; Internet of Things; Smart home devices; Adoption intention; Demographic differences";"INFORMATION PRIVACY; CONSUMER ADOPTION; PLANNED BEHAVIOR; INTERNET; THINGS; TECHNOLOGY; BENEFITS; PERCEPTIONS";Smart home devices form a significant part of the consumer IoT market yet they have potential security risks. Little is known about how security risk perceptions influence householders' decisions to adopt smart home devices. In order to examine how perceptions of security risks influence intentions to use smart home devices, we test a new model of how perceived security risk affects intention to use smart devices. This model draws on the reasoned action approach from social psychology and proposes that security risk perceptions have an indirect effect on smart home adoption decisions by influencing cognitions that have a more immediate, effect on adoption intentions. The results demonstrated that perceived security risk does have an effect on intentions to use smart home devices and both attitude to use of smart home devices and perceived control over secure use of these devices play a role in this effect, confirming the value of modelling perceived risks as determinants of more direct cognitive antecedents of consumer intentions. We also investigated the role of age and education in smart home adoption decisions and found that older and more highly educated people are more likely to take their own assessments of security risk into account when they make decisions about adoption of smart home devices. Given the role of perceived security risk in influencing consumers' intentions to use smart home devices, enabling, influencing, and guiding consumers to develop the knowledge and skills they need for secure use of smart home devices is of particular importance. The findings of this study suggest several paths of action for information security professionals to achieve this. (C) 2019 Elsevier Ltd. All rights reserved.;"[Klobas, Jane E.; McGill, Tanya; Wang, Xuequn] Murdoch Univ, Discipline Informat Technol Math & Stat, South St, Murdoch, WA 6150, Australia";Murdoch University;22;2019;
"Bao, HJ; Chong, AYL; Ooi, KB; Lin, BS";Are Chinese consumers ready to adopt mobile smart home? An empirical analysis;INTERNATIONAL JOURNAL OF MOBILE COMMUNICATIONS;Article;"mobile smart home; internet of things; technology adoption; China; structural equation modelling";"M-COMMERCE ADOPTION; TECHNOLOGY ACCEPTANCE MODEL; NEURAL-NETWORK APPROACH; INFORMATION-TECHNOLOGY; PERCEIVED USEFULNESS; USER ACCEPTANCE; DETERMINANTS; ENTERTAINMENT; ENVIRONMENT; SERVICES";This research aims to investigate the determinants of Chinese mobile smart home adoption. This research extends technology acceptance model (TAM) by including additional variables such as social influence, perceived secure home environment, perceived technology security risk, perceived cost and compatibility. Data was collected from 310 Chinese respondents. The mobile smart home adoption model was tested using structural equation modelling. Our results showed that perceived usefulness, social influence and compatibility influence Chinese consumers' decision to adopt mobile smart home. Social influence, perceived ease of use, and perceived secure home environment were found to have a direct and positive relationship with the perceived usefulness. This research showed that extending traditional TAM can provide better understanding for mobile smart home adoption. The results from this study will be useful for Chinese government as well as mobile smart home developers to formulate appropriate development and business strategies.;"[Bao, Haijun] Zhejiang Univ Finance & Econ, China Inst Regulat Res, Sch Business, Hangzhou 310018, Zhejiang, Peoples R China; [Chong, Alain Yee-Loong] Univ Nottingham, Nottingham Univ Business Sch NUBS China, Ningbo 315100, Zhejiang, Peoples R China; [Ooi, Keng-Boon] Bandar Univ Teknol Legenda, Persiaran UTL, Linton Univ Coll, Fac Business Management & Accountancy, Mantin 71700, Negeri Sembilan, Malaysia; [Lin, Binshan] Louisiana State Univ, Sch Business, Shreveport, LA 71115 USA";"Zhejiang University of Finance & Economics; University of Nottingham Ningbo China; Louisiana State University System; Louisiana State University Shreveport";15;2014;
"Han, MJN; Kim, MJ; Kim, IH";Exploring the user performance of Korean women in smart homes with a focus on user adoption;JOURNAL OF BUILDING ENGINEERING;Article;"Smart home; Smart environment; User performance; User adoption; User experience; Sustainable living";"CITY; SERVICES";The penetration of smart homes into households in South Korea is fast growing and is predicted to reach a domestic market value of up to seven billion US dollars by 2026. However, the factors affecting user adoption and influencing successful performance are not adequately considered in the current delivery of smart housing. This research aims to explore user adoption by women in South Korea based on their current experience of the smart features delivered in their smart home units. An intensive interview targeting female residents in their thirties and forties who were the dominant occupiers and users of smart homes was conducted. The results from the intensive interviews provided three principle findings. First, the three steps of user adoption (awareness, opportunity and experience) were not adequately achieved by users, which led to unsatisfactory approaches to living in the smart home. Second, a lack of pre-instruction and guidance led to poor knowledgeability in the application, which negatively affected the opportunity and experience of smart features. Third, many smart features in the contemporary smart home are not users' preferred brand or product type. User preferences and needs are neglected in current top-down delivery systems, which negatively affect the satisfaction levels of users. This study reveals the significance of the three steps of user adoption to achieve optimal user performance through an alternative delivery strategy. The provision of a new approach to smart housing delivery that adequately considers users' preferences and needs is required to achieve the successful user performance proposed in this study.;"[Han, Min Jee Nikki; Kim, Mi Jeong] Hanyang Univ, Sch Architecture, Seoul 04783, South Korea; [Kim, In Han] Kyung Hee Univ, Dept Architecture, Yongin 17104, South Korea";"Hanyang University; Kyung Hee University";3;2021;
"Zhang, WQ; Liu, LL";How consumers' adopting intentions towards eco-friendly smart home services are shaped? An extended technology acceptance model;ANNALS OF REGIONAL SCIENCE;Article;"M31; O33";"USER ACCEPTANCE; PERCEIVED RISK; ENVIRONMENTAL CONSCIOUSNESS; INFORMATION-TECHNOLOGY; ELECTRIC VEHICLES; KNOWLEDGE; DETERMINANTS; BEHAVIOR; PERCEPTIONS; EXTENSION";Eco-friendly smart home services (ESHS) play a significant role in environmental protection. The study aims to investigate consumers' intention to adopt ESHS and employs the theory of technology acceptance model as the theoretical research framework. The model was further extended by incorporating the constructs of knowledge, perceived risk, and environmental consciousness. Data were collected from 643 respondents through a self-administered questionnaire survey and analyzed by structural equation modeling. Results confirmed that perceived ease of use, perceived usefulness, knowledge, and environmental consciousness significantly and positively influence consumers' intention to adopt ESHS. Consumers' perceived risk negatively influences perceived usefulness, and consumers' perceived risk also reduces their intention to adopt ESHS. Moreover, consumers' knowledge has a positive effect on perceived ease of use and perceived usefulness but has a negative effect on perceived risk. Based on these results, implications from the perspectives of policy makers, ESHS companies, marketing professionals, and practitioners are provided for motivating other consumers to adopt such eco-friendly services.;"[Zhang, Wenqing] Univ Sci & Technol China, Sch Management, Hefei, Peoples R China; [Liu, Liangliang] Nanjing Univ Finance & Econ, Sch Publ Finance & Taxat, Nanjing, Peoples R China";"Chinese Academy of Sciences; University of Science & Technology of China, CAS; Nanjing University of Finance & Economics";1;2022;
"Ji, WY; Chan, EHW";Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study;ENERGIES;Article;"smart home energy technology; household energy saving; theory of planned behavior; norm activation model; structural equation modelling; energy efficiency gap; behavioral economics";"PARTIAL LEAST-SQUARES; NORM ACTIVATION MODEL; EFFICIENT HOUSEHOLD APPLIANCES; PLANNED BEHAVIOR; SAVING BEHAVIOR; PLS-SEM; USER ACCEPTANCE; RESIDENTIAL BUILDINGS; SYSTEM INTELLIGENCE; MANAGEMENT RESEARCH";Smart home energy technology has been verified to be successful for energy reduction in the residential sector. However, the current penetration rate of smart home energy technology is at a low level. Considering the factors of economy, policy, and demographics, Guangdong Province in China is a suitable region as an exemplary case to promote smart home energy technology through the urban residents. Therefore, using Guangdong as the targeting area, this research examined the factors influencing residents' intention to adopt smart home energy technology. A theoretical model based on the theory of planned behavior and Norm Activation Model theory was developed, with special consideration of the complex technical features. A questionnaire survey was performed in Guangdong Province and the data was analyzed by PLS-SEM. The analysis results indicated that residents' attitude towards technical performance, social norm, perceived behavioral control, and personal norm all have positive influence on the adoption intention, of which, attitude towards technical performance had the strongest effect. On the other hand, the attitude towards economic performance was found not to lead adoption intention. To explain this consequence, the discussion based on behavioral economics was proposed.;"[Ji, WeiYu; Chan, Edwin H. W.] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong 999077, Peoples R China; Hong Kong Polytech Univ, Res Inst Sustainable Urban Dev, Kowloon, Hong Kong 999077, Peoples R China";"Hong Kong Polytechnic University; Hong Kong Polytechnic University";16;2019;Green Published, gold
"Song, Y; Yang, YP; Cheng, PY";The Investigation of Adoption of Voice-User Interface (VUI) in Smart Home Systems among Chinese Older Adults;SENSORS;Article;"older adults; senior technology adoption model (STAM); technology adoption model (TAM); trust voice-user interface (VUI)";"TECHNOLOGY ACCEPTANCE MODEL; INFORMATION-TECHNOLOGY; AGE-DIFFERENCES; PERCEIVED EASE; SELF-EFFICACY; PATH-ANALYSIS; INTERNET; TRUST; CONSUMERS; VARIABLES";Driven by advanced voice interaction technology, the voice-user interface (VUI) has gained popularity in recent years. VUI has been integrated into various devices in the context of the smart home system. In comparison with traditional interaction methods, VUI provides multiple benefits. VUI allows for hands-free and eyes-free interaction. It also enables users to perform multiple tasks while interacting. Moreover, as VUI is highly similar to a natural conversation in daily lives, it is intuitive to learn. The advantages provided by VUI are particularly beneficial to older adults, who suffer from decreases in physical and cognitive abilities, which hinder their interaction with electronic devices through traditional methods. However, the factors that influence older adults' adoption of VUI remain unknown. This study addresses this research gap by proposing a conceptual model. On the basis of the technology adoption model (TAM) and the senior technology adoption model (STAM), this study considers the characteristic of VUI and the characteristic of older adults through incorporating the construct of trust and aging-related characteristics (i.e., perceived physical conditions, mobile self-efficacy, technology anxiety, self-actualization). A survey was designed and conducted. A total of 420 Chinese older adults participated in this survey, and they were current or potential users of VUI. Through structural equation modeling, data were analyzed. Results showed a good fit with the proposed conceptual model. Path analysis revealed that three factors determine Chinese older adults' adoption of VUI: perceived usefulness, perceived ease of use, and trust. Aging-related characteristics also influence older adults' adoption of VUI, but they are mediated by perceived usefulness, perceived ease of use, and trust. Specifically, mobile self-efficacy is demonstrated to positively influence trust and perceived ease of use but negatively influence perceived usefulness. Self-actualization exhibits positive influences on perceived usefulness and perceived ease of use. Technology anxiety only exerts influence on perceived ease of use in a marginal way. No significant influences of perceived physical conditions were found. This study extends the TAM and STAM by incorporating additional variables to explain Chinese older adults' adoption of VUI. These results also provide valuable implications for developing suitable VUI for older adults as well as planning actionable communication strategies for promoting VUI among Chinese older adults.;"[Song, Yao] Sichuan Univ, Coll Literature & Journalism, Chengdu 610064, Peoples R China; [Song, Yao] Sichuan Univ, Digital Convergence Lab Chinese Cultural Inherita, Chengdu 610207, Peoples R China; [Yang, Yanpu] Changan Univ, Sch Construct Machinery, Xian 716604, Peoples R China; [Cheng, Peiyao] Harbin Inst Technol Shenzhen, Sch Social Sci & Humanity, Design Dept, Shenzhen 518055, Peoples R China";"Sichuan University; Sichuan University; Chang'an University; Harbin Institute of Technology";1;2022;Green Published, gold
"Basarir-Ozel, B; Turker, HB; Nasir, VA";Identifying the Key Drivers and Barriers of Smart Home Adoption: A Thematic Analysis from the Business Perspective;SUSTAINABILITY;Article;"smart homes; in-depth interview; qualitative research; IoT; internet of things; thematic map";"INFORMATION-TECHNOLOGY; CONSUMER ACCEPTANCE; USER ACCEPTANCE; INTERNET; PERCEPTIONS; INTENTION; DIFFUSION; SPEAKERS; SYSTEMS; THINGS";Smart homes embrace advanced technologies and the connectedness of devices that aim to increase consumers' life quality. They are based on data integration over shared platforms collected via sensors and wireless networks. However, although consumers' current and potential adoption of smart homes have received some research interest, there is a low number of studies considering the foreseeable future of smart homes from the business perspective. To fulfill this gap in the literature, this study presents the results of an exploratory research attempting to reveal the foresight of the business side regarding the penetration of smart home technologies (SHTs) into consumers' lives. Based on the opinions of industry experts collected through 13 semistructured in-depth interviews, numerous drivers of and barriers to SHT adoption are uncovered and displayed in their intertwined relationship in a thematic map. In creating this map, the qualitative data gathered through the interviews are integrated with widely used theories/models of technology adoption in the literature to develop a full-fledged set of determinants. As a result, drivers of SHT adoption (five sub-themes) and barriers that hinder smart home penetration (eight subthemes) were determined. Drivers consist of relative advantage, enjoyment, image enhancement, modern and multifunctional design, and consumers' technology innovativeness. In contrast, the main barriers are high cost, complexity, lack of compatibility, lack of trialability, lack of observability, lack of a trusted brand in the market, lack of facilitating conditions and support services, and consumers' technology anxiety. This rich set of SHT adoption determinants can be used in future studies to examine their relative impact on consumers' adoption of SHT.;"[Basarir-Ozel, Birgul; Turker, Hande Bahar; Nasir, Vesile Aslihan] Bogazici Univ, Dept Management Informat Syst, TR-34342 Istanbul, Turkey";Bogazici University;0;2022;gold
"Scharnhorst, L; Sandmeier, T; Ardone, A; Fichtner, W";The Impact of Economic and Non-Economic Incentives to Induce Residential Demand Response-Findings from a Living Lab Experiment;ENERGIES;Article;"technology acceptance; smart home; technology adoption; residential demand response; flexibility; (non)-economic incentives; energy consumption behavior; behavioral change; COVID-19 pandemic; living lab";"ENERGY-CONSUMPTION; VALUE ORIENTATIONS; BEHAVIOR; BELIEFS; VALUES; PREFERENCES; FEEDBACK; TARIFFS; ACCEPT; NORMS";This study assesses the impact of economic and non-economic incentives to induce demand response in private households. The experiment was realized by a three-months residential phase in which two tenants lived in the Energy Smart Home Lab, an experimental lab with the equipment of a modern smart home. The tenants received calls to action (CtAs) on a regular basis, incentivized economically or by moral nudges with a social or environmental background. A mixed-methods approach, consisting of smart meter data analysis, a value scale assessment, surveys and interviews, assessed the tenants' reactions on their energy consumption behavior towards the CtAs. The smart meter data shows that the tenants performed the majority of CtAs, revealing no significant difference between economic or non-economic incentives. Results from the value scale, the interviews and the surveys indicate that this behavior might be due to the tenants' high tendency towards biospheric and altruistic values and a high self-efficacy. Furthermore, the consequences of the COVID-19 pandemic caused a 100% home-office situation, suggesting a higher flexibility of the tenants. Although the results are not representative and need further experiments to be confirmed, the incentives show a promising potential to evoke residential demand response.;"[Scharnhorst, Leandra; Sandmeier, Thorben; Ardone, Armin; Fichtner, Wolf] Karlsruhe Inst Technol, Inst Ind Prod IIP, D-76187 Karlsruhe, Germany";"Helmholtz Association; Karlsruhe Institute of Technology";0;2021;Green Published, gold
"Liu, YP; Li, MY; Chen, YF; Tzeng, GH";Evaluation of and improvement planning for smart homes using rough knowledge-based rules on a hybrid multiple attribute decision-making model;SOFT COMPUTING;Article;"Smart home; Consumer adoption; Core factors; DRSA; DEMATEL technique; DANP method; Fuzzy integral";"MCDM METHODS; MADM MODEL; ADOPTION; VIKOR; TECHNOLOGIES; ECONOMICS; BARRIERS; BEHAVIOR; SERVICE; SYSTEM";This paper proposes fuzzy integral-based decision methods to identify the core factors and their relationships for smart homes product improvement. The dominance-based rough set approach was used to retrieve core attributes and obtain rough knowledge-based rules. The decision-making trial and evaluation laboratory (DEMATEL) technique was used to build an influential network relationship map, and influential weights were determined through the DEMATEL-based analytic network process. Subsequently, the inter-relationships among criteria were calculated. Finally, the fuzzy integral method was used to measure the plausible synergy effects among the criteria, evaluate/rank alternatives for smart homes, and then provide suggestions for product improvement. The main innovation is the use of rough knowledge-based rule retrieval procedures and fuzzy measures for exploring the synergy effects on smart home improvement. Three smart home products/systems were examined to illustrate their performance on each criterion for improvement planning. This study contributes knowledge to research on consumer adoption of smart homes and presents improvement strategies.;"[Liu, Yupeng; Li, Manyu; Chen, Yifei] Harbin Inst Technol Weihai, Sch Econ & Management, 2 West Wenhua Rd, Weihai, Shandong, Peoples R China; [Tzeng, Gwo-Hshiung] Natl Taipei Univ, Grad Inst Urban Planning, Coll Publ Affairs, 151 Univ Rd, New Taipei 23741, Taiwan";"Harbin Institute of Technology; National Taipei University";0;2020;
"Guhr, N; Werth, O; Blacha, PPH; Breitner, MH";Privacy concerns in the smart home context;SN APPLIED SCIENCES;Article;"Privacy concerns; Smart home technologies; Technology acceptance; Theory of planned behavior; Structural equation modelling";"INFORMATION-SYSTEMS; PERCEIVED EASE; TECHNOLOGY ACCEPTANCE; PERSONALITY-TRAITS; ADOPTION; MODEL; CONSTRUCTS; GUIDELINES; SECURITY; SERVICES";With the rapid development of the Internet of Things, intelligent systems are increasingly finding their way into everyday life and into people's homes. With the spread of these technologies, there is a growing concern about what sensitive data is collected and what it is used for. Unfortunately, the role of privacy has remained largely unexplored in the smart home (SH) usage context. This study addresses this gap in literature: to what extend users' concerns for information privacy influence the intended SH usage. This study takes an interactional psychology perspective and links the dimensions of the privacy concerns to the intention to use SH devices. Therefore, a multi-theoretical model using Smart PLS 3.2.8 was tested. This study contributes to the literature on privacy, and SH usage by exploring how and why privacy concerns influence participants' intended SH usage. The findings, derived from the empirical study emphasize the importance of addressing privacy concerns because they are capable of directly and indirectly influencing the intended SH usage. Finally, the results which indicate new directions for privacy and SH research are discussed and implications for research and practice are given.;"[Guhr, Nadine; Werth, Oliver; Blacha, Philip Peter Hermann; Breitner, Michael H.] Leibniz Univ Hannover, ISMI, Konigsworther Pl 1, D-30167 Hannover, Germany";University of Hannover;12;2020;hybrid
"Moses, JC; Adibi, S; Angelova, M; Islam, SMS";Smart Home Technology Solutions for Cardiovascular Diseases: A Systematic Review;APPLIED SYSTEM INNOVATION;Review;"cardiovascular disease; chronic disease; sensor; smart home; information technology; user acceptance; regulatory agency; COVID-19";"HEART-FAILURE; SELF-MANAGEMENT; BLOOD-PRESSURE; RISK-FACTORS; HEALTH; INFORMATION; INTERNET; DEVICES; IMPACT; ADULTS";Cardiovascular diseases (CVD) are the leading cause of mortality globally. Despite improvement in therapies, people with CVD lack support for monitoring and managing their condition at home and out of hospital settings. Smart Home Technologies have potential to monitor health status and support people with CVD in their homes. We explored the Smart Home Technologies available for CVD monitoring and management in people with CVD and acceptance of the available technologies to end-users. We systematically searched four databases, namely Medline, Web of Science, Embase, and IEEE, from 1990 to 2020 (search date 18 March 2020). Smart-Home was defined as a system using integrated sensor technologies. We included studies using sensors, such as wearable and non-wearable devices, to capture vital signs relevant to CVD at home settings and to transfer the data using communication systems, including the gateway. We categorised the articles for parameters monitored, communication systems and data sharing, end-user applications, regulations, and user acceptance. The initial search yielded 2462 articles, and the elimination of duplicates resulted in 1760 articles. Of the 36 articles eligible for full-text screening, we selected five Smart Home Technology studies for CVD management with sensor devices connected to a gateway and having a web-based user interface. We observed that the participants of all the studies were people with heart failure. A total of three main categories-Smart Home Technology for CVD management, user acceptance, and the role of regulatory agencies-were developed and discussed. There is an imperative need to monitor CVD patients' vital parameters regularly. However, limited Smart Home Technology is available to address CVD patients' needs and monitor health risks. Our review suggests the need to develop and test Smart Home Technology for people with CVD. Our findings provide insights and guidelines into critical issues, including Smart Home Technology for CVD management, user acceptance, and regulatory agency's role to be followed when designing, developing, and deploying Smart Home Technology for CVD.;"[Moses, Jeban Chandir; Adibi, Sasan; Angelova, Maia] Deakin Univ, Sch Informat Technol, Burwood, Vic 3125, Australia; [Islam, Sheikh Mohammed Shariful] Deakin Univ, Inst Phys Act & Nutr IPAN, Burwood, Vic 3125, Australia";"Deakin University; Deakin University";1;2022;gold
"Pal, D; Zhang, XM; Siyal, S";Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach;TECHNOLOGY IN SOCIETY;Article;"Multidimensional development theory; Privacy concern; Smart-home; User resistance; User skill";"ACTIVE INNOVATION RESISTANCE; OLDER-ADULTS; PLS-SEM; PRIVACY; ADOPTION; SECURITY; SERVICES; CHALLENGES; BARRIERS; ISSUES";With the advent of various Internet of Things (IoT) technologies, smart-homes have become an important application area. However, the low end-user penetration of the smart-home market as of 2021 points out towards the fact that the users are resistant to use home IoT and smart-home solutions. Privacy concerns is an important factor that hinders the smart-home adoption as per existing literatures. Unfortunately, current smart-home literatures have not focused enough on the theoretical aspect of the privacy concern construct per se, what are its various antecedents, and what constitutes the users' privacy concerns. Consequently, in this work a resistive modelling approach is used focusing on the privacy aspect that hinders the diffusion of IoT-based smart-homes in the society. Innovation Resistance Theory (IRT) and Multidimensional Development Theory (MDT) are used as the theoretical background. Multiple antecedents of privacy concern are considered ranging from individual (user skill), technological to environmental factors (legal & policy aspect). Moreover, privacy concern is treated from three aspects of informational privacy, physical privacy, and psychological privacy. The proposed model is validated and tested using data collected from 463 users residing in Thailand. The differences in privacy perception and its effect on user resistance depending on gender and residence type is also discussed. Results show that the user characteristics of user skill has the highest impact on privacy concern, followed by legal & policy aspect, and technological aspect respectively. Moreover, physical, and psychological privacy are more important than informational privacy concerns. Appropriate theoretical and practical suggestions are provided based on the results.;"[Pal, Debajyoti] King Mongkuts Univ Technol Thonburi, Sch Informat Technol, Bangkok, Thailand; [Zhang, Xiangmin] Wayne State Univ, Sch Informat Sci, Detroit, MI USA; [Siyal, Saeed] Beijing Univ Chem Technol, Sch Econ & Management, Beijing, Peoples R China";"King Mongkuts University of Technology Thonburi; Wayne State University; Beijing University of Chemical Technology";4;2021;
"Lukas, A; Maucher, I; Bugler, S; Flemming, D; Meyer, I";Security and user acceptance of an intelligent home emergency call system for older people living at home with limited daily living skills and receiving home care;ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE;Article;"Intelligent home emergency call system; Active-assisted living; Telecare; Telehealth; Domotic Systems";"QUALITY-OF-LIFE; DEPRESSION";Background Technically based support measures are becoming increasingly more important in an aging society. Such support measures can provide a self-determined life in familiar surroundings despite the need for care. An example for such a support measure is an intelligent home emergency call system (iHNR system), which automatically detects critical situations (e.g. falling down), transmits this information to an emergency call center and therefore initiates assistance faster. Objective The aim of this uncontrolled, two center observational study was to evaluate the security and acceptance of an iHNR system used by older people receiving home care. Material and methods The study was carried out based on 51 subjects with at least a 6-month observation period using the iHNR system. The iHNR system was installed in all homes of the participants. Interviews about acceptance, perceived and objective security, impact on independence and usability of the new iHNR system were conducted. Analysis was performed with particular respect to depression, quality of life, frailty and self-estimated need for assistance. Results A total of 39 complete records were collected and evaluated. The participants represented a vulnerable group of people with rather depressive moods, negative quality of life and a high level of frailty without significant changes over the observation period. Positive results were found regarding subjective and objective security and acceptance as well as ease of operation of the iHNR system. The fear of falling was only marginally influenced. Conclusion Acceptance regarding the new iHNR system was high. The system provoked a stronger sense of security while at the same time leading to a reduced sense of control. The system seems to be able to detect critical events and can automatically and quickly alert the necessary help services. Therefore, people in need of care can remain longer in their own homes.;"[Lukas, Albert] Akad Lehrkrankenhaus Univ Bonn, Malteser Krankenhaus Seliger Gerhard Bonn Rhein S, Zentrum Altersmed, Von Hompesch Str 1, D-53123 Bonn, Germany; [Lukas, Albert] Uniklin Bonn, Geriatr Orthopadie & Unfallchirurg, Klin Orthopadie & Unfallchirurg, Bonn, Germany; [Maucher, Irene] Deutsch Telekom Healthcare & Secur Solut GmbH, Berlin, Germany; [Maucher, Irene] DHC Digital HealthCare Syst GmbH, Bochum, Germany; [Bugler, Sandra] Prosyst AG, Hamburg, Germany; [Flemming, Daniel] Katholische Stiftungshsch Munchen, Munich, Germany; [Meyer, Ingo] Univ Cologne, PMV Forsch Grp, Cologne, Germany";"University of Bonn; University of Bonn; University of Cologne";1;2021;