Assessment of relationships between smart technologies, corporate sustainability, and economic behavior of companies
Authors/Creators
- 1. Donetsk National Technical University, Ukraine
- 2. Mariupol State University; University of Cambridge, Ukraine
- 3. National Aviation University, Ukraine
- 4. Vasyl' Stus Donetsk National University, Ukraine
- 5. Donetsk National University of Economics and Trade named after Mykhailo Tuhan-Baranovskyi, Ukraine
- 6. Ukrainian-American Concordia University, Ukraine
Description
The object of this study is the economic behavior of companies. The study solved the problem of conceptualizing the economic behavior of companies, taking into account the need to adhere to the goals of sustainable development and the use of smart technologies. It has been established that to assess the level of sustainable development of companies, economic, environmental, social, and managerial criteria based on corporate social responsibility are used. It is determined that smart technologies are associated with the introduction into production of cyber-physical systems integrating information and communication technologies into physical processes. To expand the possibilities of assessing the use of smart technologies, it is proposed to collect data on the expenditure of companies for a particular technology and the amount of revenue generated using this technology. The structural model for measuring the relationships between the use of smart technologies, sustainable development, and the economic behavior of companies was calculated using the PLS-SEM method. It has been established that currently, in fact, an increase in the burden on the environment, extensive use of resources for the countries of the European Union and Ukraine activates the economic behavior of companies because the coefficient of the path for load indicators is 0.916. At the same time, increasing the use of smart technologies by 1 will increase economic development indicators by only 0.104. This indicates a lesser power of the link between economic behavior and the use of smart technologies. However, the statistical significance and positive direction of the relationship between economic behavior and the use of smart technologies gives reason to recommend that the management of industrial companies pay special attention to the development of the integration of smart technologies into business processes.
Files
Assessment of relationships between smart technologies, corporate sustainability, and economic behavior of companies.pdf
Additional details
References
- Transforming our world: the 2030 Agenda for Sustainable Development. United Nations. Available at: https://documents-dds-ny.un.org/doc/UNDOC/GEN/N15/291/89/pdf/N1529189.pdf?OpenElement
- Global review 2017. Ernst&Young. Available at: https://campaign.eyemailinc.com/eyglobal/res/EY-Global-Review.pdf
- Hamdan, A., Shoaib, H. M., Alareeni, B., Hamdan, R. (Eds.) (2022). The Implementation of Smart Technologies for Business Success and Sustainability: During COVID-19 Crises in Developing Countries. Springer, 1005. doi: https://doi.org/10.1007/978-3-031-10212-7
- Liu, Y., Zhang, Y., Ren, S., Yang, M., Wang, Y., Huisingh, D. (2020). How can smart technologies contribute to sustainable product lifecycle management? Journal of Cleaner Production, 249, 119423. doi: https://doi.org/10.1016/j.jclepro.2019.119423
- Somohano-Rodríguez, F. M., Madrid-Guijarro, A. (2022). Do industry 4.0 technologies improve Cantabrian manufacturing smes performance? The role played by industry competition. Technology in Society, 70, 102019. doi: https://doi.org/10.1016/j.techsoc.2022.102019
- Galperina, L. P., Girenko, A. T., Mazurenko, V. P. (2016). The Concept of Smart Economy as the Basis for Sustainable Development of Ukraine. International Journal of Economics and Financial Issues, 6 (8S), 307–314. Available at: https://www.econjournals.com/index.php/ijefi/article/view/3757
- Demartini, M., Evans, S., Tonelli, F. (2019). Digitalization Technologies for Industrial Sustainability. Procedia Manufacturing, 33, 264–271. doi: https://doi.org/10.1016/j.promfg.2019.04.032
- Fiorentino, R., Grimaldi, F., Lamboglia, R., Merendino, A. (2020). How smart technologies can support sustainable business models: insights from an air navigation service provider. Management Decision, 58 (8), 1715–1736. doi: https://doi.org/10.1108/md-09-2019-1327
- Thamik, H., Wu, J. (2022). The Impact of Artificial Intelligence on Sustainable Development in Electronic Markets. Sustainability, 14 (6), 3568. doi: https://doi.org/10.3390/su14063568
- Saunila, M., Nasiri, M., Ukko, J., Rantala, T. (2019). Smart technologies and corporate sustainability: The mediation effect of corporate sustainability strategy. Computers in Industry, 108, 178–185. doi: https://doi.org/10.1016/j.compind.2019.03.003
- Bai, C., Dallasega, P., Orzes, G., Sarkis, J. (2020). Industry 4.0 technologies assessment: A sustainability perspective. International Journal of Production Economics, 229, 107776. doi: https://doi.org/10.1016/j.ijpe.2020.107776
- Siltori, P. F. S., Anholon, R., Rampasso, I. S., Quelhas, O. L. G., Santa-Eulalia, L. A., Filho, W. L. (2021). Industry 4.0 and corporate sustainability: An exploratory analysis of possible impacts in the Brazilian context. Technological Forecasting and Social Change, 167, 120741. doi: https://doi.org/10.1016/j.techfore.2021.120741
- Waibel, M., Steenkamp, L., Moloko, N., Oosthuizen, G. A. (2017). Investigating the Effects of Smart Production Systems on Sustainability Elements. Procedia Manufacturing, 8, 731–737. doi: https://doi.org/10.1016/j.promfg.2017.02.094
- Zhou, Z., Liu, W., Cheng, P., Li, Z. (2022). The Impact of the Digital Economy on Enterprise Sustainable Development and Its Spatial-Temporal Evolution: An Empirical Analysis Based on Urban Panel Data in China. Sustainability, 14, 11948. doi: https://doi.org/10.3390/su141911948
- Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Springer, 197. doi: https://doi.org/10.1007/978-3-030-80519-7
- Checkland, P. (1999). Systems Thinking, Systems Practice: Includes a 30-Year Retrospective. Wiley, 416.
- Sarstedt, M., Ringle, C. M., Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. Handbook of Market Research, 1–47. doi: https://doi.org/10.1007/978-3-319-05542-8_15-2
- Al-Ababneh, H. A., Al-Dhaimesh, H., Alshira'h, A. F., Alibraheem, M. H., Mugableh, M. I., Alhosban, A. et al. (2022). Formation of scientific and methodological aspects of evaluation transformation of targets economic development of countries. Eastern-European Journal of Enterprise Technologies, 3 (13 (117)), 52–66. doi: https://doi.org/10.15587/1729-4061.2022.259677
- Baumgartner, R. J., Rauter, R. (2017). Strategic perspectives of corporate sustainability management to develop a sustainable organization. Journal of Cleaner Production, 140, 81–92. doi: https://doi.org/10.1016/j.jclepro.2016.04.146
- Guidance on social responsibility (ISO No. 26000:2010). International Organization for Standardization. Available at: https://www.iso.org/standard/42546.html
- Friede, G., Busch, T., Bassen, A. (2015). ESG and financial performance: aggregated evidence from more than 2000 empirical studies. Journal of Sustainable Finance & Investment, 5 (4), 210–233. doi: https://doi.org/10.1080/20430795.2015.1118917
- Khan, M., Serafeim, G., Yoon, A. (2016). Corporate Sustainability: First Evidence on Materiality. The Accounting Review, 91 (6), 1697–1724. doi: https://doi.org/10.2308/accr-51383
- Wong, C., Petroy, E. (2020). Rate the Raters 2020: Investor Survey and Interview Results. SustainAbility. Available at: https://www.sustainability.com//thinking/rate-the-raters-2020/
- S&P Global ESG Scores Methodology (2022). S&P Global. Available at: https://www.spglobal.com/esg/documents/sp-global-esg-scores-methodology-2022.pdf
- Guidance for companies (2022). CDP. Available at: https://www.cdp.net/en/guidance/guidance-for-companies
- ESG Risk Ratings – Methodology Abstract, Version 2.1 (2021). Sustainalytics. Available at: https://connect.sustainalytics.com/hubfs/INV/Methodology/Sustainalytics_ESG%20Ratings_Methodology%20Abstract.pdf
- ESG Ratings Key Issue Framework. MSCI. Available at: https://www.msci.com/our-solutions/esg-investing/esg-ratings/esg-ratings-key-issue-framework
- Bansal, P., Song, H. K. (2017). Similar But Not the Same: Differentiating Corporate Sustainability from Corporate Responsibility. The Academy of Management Annals, 11 (1), 105–149. doi: https://doi.org/10.5465/annals.2015.0095
- Pashkevych, M., Usatenko, O., Driha, O. (2018). Managerial accounting of ecological, social, and economic expenditure as a complex of sustainable development of the enterprise. European Cooperation, 9 (40), 40–56. doi: https://doi.org/10.32070/ec.v9i40.26
- Jabłoński, M. (2018). Value Migration to the Sustainable Business Models of Digital Economy Companies on the Capital Market. Sustainability, 10 (9), 3113. doi: https://doi.org/10.3390/su10093113
- Cho, S., Chung, C., Young, J. (2019). Study on the Relationship between CSR and Financial Performance. Sustainability, 11 (2), 343. doi: https://doi.org/10.3390/su11020343
- Andersson, S., Svensson, G., Molina‐Castillo, F., Otero‐Neira, C., Lindgren, J., Karlsson, N. P. E., Laurell, H. (2022). Sustainable development – Direct and indirect effects between economic, social, and environmental dimensions in business practices. Corporate Social Responsibility and Environmental Management, 29 (5), 1158–1172. doi: https://doi.org/10.1002/csr.2261
- Kurz, H. D., Schütz, M., Strohmaier, R., Zilian, S.S. (Eds.) (2022). The Routledge Handbook of Smart Technologies: An Economic and Social Perspective. Routledge, 712. doi: https://doi.org/10.4324/9780429351921
- Drejeris, R., Oželienė, D. (2019). New approach to the technological aspect of corporate sustainable development. Business: Theory and Practice, 20, 363–371. doi: https://doi.org/10.3846/btp.2019.34
- Worden, K., Bullough, W. A. Haywood, J. (2003). Smart Technologies. World Scientific, 284. doi: https://doi.org/10.1142/4832
- Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum. Available at: https://law.unimelb.edu.au/__data/assets/pdf_file/0005/3385454/Schwab-The_Fourth_Industrial_Revolution_Klaus_S.pdf
- ICT usage in enterprises. Eurostat. Available at: https://ec.europa.eu/eurostat/cache/metadata/EN/isoc_e_esms.htm
- Manual for the Production of Statistics on the Digital Economy. 2020. Revised Edition (2021). UNCTAD. Available at: https://unctad.org/system/files/official-document/dtlstict2021d2_en.pdf
- Working Party on Measurement and Analysis of the Digital Economy. (2015). The OECD Model Survey on ICT Usage by Businesses. 2nd Revision. OECD. Available at: https://www.oecd.org/sti/ieconomy/ICT-Model-Survey-Usage-Businesses.pdf
- Database. Eurostat. Available at: https://ec.europa.eu/eurostat/web/main/data/database
- Statystychna informatsiya. Derzhavna sluzhba statystyky Ukrainy. Available at: https://ukrstat.gov.ua/operativ/oper_new.html