Analysis of EAC Using Multiple Regression and Conditional Process: A Statistical Approach

Authors

  • Muskan Singh Department of Management Studies, Graphic Era Deemed to be University, Dehradun, India
  • Sachin Ghai Department of Management Studies, Graphic Era Deemed to be University, Dehradun, India
  • Amar Kumar Mishra Department of Management Studies, Brainware University, Kolkata, India
  • Nupur Goyal Department of Mathematics, Graphic Era Deemed to be University, Dehradun, India

DOI:

https://doi.org/10.13052/jrss0974-8024.1715

Keywords:

Employee acceptance to change (EAC), emotional intelligence (EI), higher educational institution (HEI), locus of control (LOC), multiple regression, conditional process

Abstract

In the modern world of increased competition, evolving technologies and volatile environment every institution must poise themselves to innovate and change, not only to prosper but merely to survive. The situation is more acute in institutions of higher education in India where things are changing with unprecedented speed. The survival of the institutions will depend upon the adaptability of their employees to embrace the change. However, employees’ acceptance to change cannot be developed overnight and also in isolation. It requires intensity and persistency of efforts in the right direction from the management. In the present paper, the researchers have identified the role of emotional intelligence and locus of control in enhancing employees’ acceptance to change in HEIs, Uttarakhand using multiple regression and conditional process analysis. The data for the present study were collected using stratified sampling and structured questionnaires from 432 employees from various HEIs in Uttarakhand. The finding revealed that EI enhances the EAC in HEI. Further, it also revealed that Job Satisfaction acts as a partial mediator in the relation between EI and EAC.

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Author Biographies

Muskan Singh, Department of Management Studies, Graphic Era Deemed to be University, Dehradun, India

Muskan Singh received the bachelor’s degree in commerce in 2019 from Gorakhpur University, Uttar Pradesh, India. She received master’s degree in Management in 2021 from H.N.B Garhwal University, Srinagar, Uttarakhand, India. Currently she is pursuing PhD in Management from Graphic Era Deemed to be University, Dehradun, India. Her research interests are in human resource management and organization behaviour.

Sachin Ghai, Department of Management Studies, Graphic Era Deemed to be University, Dehradun, India

Sachin Ghai is an Academician, Trainer, Startup mentor, and a Business and Life coach with over 2 decades of experience and a proven track-record in teaching and training at various levels.He has a Doctorate in Economics in the area of Urban Development Planning and Management. He holds a Master’s degree in Economics and Bachelor’s degree in Management & Information Technology. He is presently working in the capacity of Head of the Department – Management Studies and Director – Technology Business Incubator at Graphic Era Deemed to be University, Dehradun. He has been the Program Convener of the first MBA program in Innovation, Entrepreneurship and Venture Development in India offered at Graphic Era Deemed to be University.

Amar Kumar Mishra, Department of Management Studies, Brainware University, Kolkata, India

Amar Kumar Mishra has done PhD in HR, MBA (OB & HR), M. Com from the University of Burdwan (West Bengal). Besides he has qualified UGC NET in Management, Commerce and HR. He has got experience of 20 years in academics. At present he is rendering his services to Brainware University, Kolkata as Professor in the Department of Management.

Nupur Goyal, Department of Mathematics, Graphic Era Deemed to be University, Dehradun, India

Nupur Goyal received the Bachelor’s degree in Computer science in 2009 from Kurukshetra University, Kurukshetra, Haryana, India. She received the master’s degree in mathematics in 2011 from H.N.B. Garhwal University, Srinagar, Uttarakhand, India and Ph.D. degree from Graphic Era University, Dehradun, Uttarakhand, India in November 2016. Her research interests are in the area of reliability theory and operation research. she is an Assistant Professor in department of Mathematics, Graphic Era Deemed to be University, Dehradun, India. She is a reviewer of various international journals.

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Published

2024-07-03

How to Cite

Singh, M., Ghai, S., Mishra, A. K., & Goyal, N. (2024). Analysis of EAC Using Multiple Regression and Conditional Process: A Statistical Approach. Journal of Reliability and Statistical Studies, 17(01), 109–136. https://doi.org/10.13052/jrss0974-8024.1715

Issue

2024: Vol 17 Iss 1

Section

Articles