Published April 28, 2022 | Version v1
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Enabling the Management evolution in Information Technology domain: analysing the Incremental and Tangible Management by Outcome (IT MBO)

  • 1. Symbiosis Institute of Business Management (SIBM), Symbiosis International (Deemed University) (SIU)

Description

Abstract: Management is an evolving practice based on the evolution of knowledge that is required to be applied to solve real-life problems. These real-life work problems and the implementation of knowledge to resolve them is done in the form of projects. With the omnipresence of digitalization, the 21st century, and hereon, we are heavily dependent on how we manage our Information Technology projects.  And thus, the management of Information Technology projects becomes one of the most critical aspects of applying knowledge and to sustain further evolution. In this respect, we have to consider, what are some of the limitations as well as what are the indicators of the natural evolution of management in the Information Technology domain. There are different structures in which Information Technology projects are categorized, and there are many management principles, practices, and methodologies aligned with each of them. But we have to find a common strand that would act as a unifying factor that is bound to the basics and provides for the minimum required to sustain this evolution. This study is aimed at finding this factor (or factors) that unifies, simplifies, and standardizes any Information Technology project. Incremental and Tangible Management by Outcome (IT MBO) is the logical evolution of management in the Information Technology domain, which is analysed through a structured literature review and extensive background industry work building on the two most important constructs of ‘incremental approach’ and ‘tangible output’. This paper would explain the analysis of suitable literature review for Incremental and Tangible Management by Outcome (IT MBO), its application for an Information Technology project, and its relationship with these constructs.

Keywords: Management, Incremental approach, Tangible output, Knowledge Work, Delphi, Information Technology.

Title: Enabling the Management evolution in Information Technology domain: analysing the Incremental and Tangible Management by Outcome (IT MBO)

Author: Dr. Ravi Kumar Jain, Abhishek Kumar Preetam

International Journal of Recent Research in Commerce Economics and Management (IJRRCEM)

ISSN 2349-7807

Vol. 9, Issue 2, April 2022 - June 2022

Page No: 37-51

Paper Publications (Publisher)

Website: www.paperpublications.org

Published date: 28-April-2022

DOI: https://doi.org/10.5281/zenodo.6500191

Paper download link (Source): https://www.paperpublications.org/upload/book/Enabling%20the%20Management-28042022-1.pdf

Notes

Paper Publications (Publisher), Website: www.paperpublications.org, International Journal of Recent Research in Commerce Economics and Management (IJRRCEM), ISSN 2349-7807

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References

  • [1] Gary Yukl (1989) Managerial Leadership: A Review of Theory and Research, Journal of Management Southern Management Association Vol 15, Issue 2, page(s): 251-289
  • [2] Brett Anitra Gilbert, Patricia P. McDougall, David B. Audretsch (2006) New Venture Growth: A Review and Extension, Journal of Management Southern Management Association Volume: 32 issue: 6, page(s): 926-950
  • [3] Serge Madhere (1995) Beyond the Bell Curve: Toward a Model of Talent and Character Development, Thisths and Realities: African Americans and the Measurement of Human Abilities, Journal of Negro Education, Vol. 64, No. 3, 10.2307/2967212, pp. 326-339
  • [4] Jonathan E. Adler, ‎Lance J. Rips (2008) Reasoning: Studies of Human Inference and Its Foundations Cambridge: Cambridge University Press.
  • [5] Feeney A, Heit E (2007). Inductive reasoning: Experimental, developmental, and computational approaches Cambridge: Cambridge University Press.
  • [6] Holyoak, K. J. (2005). Analogy. In K. J. Holyoak & R. G. Morrison (Eds.), The Cambridge handbook of thinking and reasoning (pp. 95–116). Cambridge: Cambridge University Press.
  • [7] Simon, M.A. Educ Stud Math (1996) 30: 197. https://doi.org/10.1007/BF00302630
  • [8] Evans, J. S. B. T. (1989). Essays in cognitive psychology. Bias in human reasoning: Causes and consequences. Hillsdale, NJ, US: Lawrence Erlbaum Associates, Inc.
  • [9] Vinod Goel Raymond J Dolan (2004) Differential involvement of left prefrontal cortexin inductive and deductive reasoning Cognition Volume 93, Issue 3, October 2004, Pages B109-B121 https://doi.org/10.1016/j.cognition. 2004.03.001
  • [10] Shye, S. (1988). Inductive and deductive reasoning: A structural reanalysis of ability tests. Journal of Applied Psychology, 73(2), 308-311. http://dx.doi.org/10.1037/0021-9010.73.2.308
  • [11] Goswami, U. (2002). Inductive and deductive reasoning. In U. Goswami (Ed.), Blackwell handbooks of developmental psychology. Blackwell handbook of childhood cognitive development (pp. 282-302). Malden, : Blackwell Publishing. http://dx.doi.org/10.1002/9780470996652.ch13
  • [12] Rotello, C. M., & Heit, E. (2009). Modeling the effects of argument length and validity on inductive and deductive reasoning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(5), 1317-1330. http://dx. doi.org/10.1037/a0016648
  • [13] Hyde, K. (2000), "Recognising deductive processes in qualitative research", Qualitative Market Research, Vol. 3 No. 2, pp. 82-90. https://doi.org/10.1108/13522750010322089
  • [14] Heit, E., & Rotello, C. M. (2010). Relations between inductive reasoning and deductive reasoning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36(3), 805-812.http://dx.doi.org/10.1037/a0018784
  • [15] Jonathan E. Adler, ‎Lance J. Rips (2008) Reasoning: Studies of Human Inference and Its Foundations Cambridge: Cambridge University Press.