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Original scientific article

DETERMINANTS OF EMPLOYEE ENGAGEMENT IN ORGANIZED RETAIL: AN ANALYTICAL STUDY

By
S. Varoodhini Orcid logo ,
S. Varoodhini

Assistant Professor, Department of Management Studies, Satya Institute of Technology and Management , Vizianagaram, Andhra Pradesh , India

Jalaja Anilkumar Orcid logo ,
Jalaja Anilkumar

Assistant Professor, REVA Business School, REVA University , Bangalore, Karnataka , India

Richa Das Orcid logo ,
Richa Das

Associate Professor, Department of Master of Business Administration, Atria Institute of Technology , Bangalore, Karnataka , India

T. Bharathi Orcid logo ,
T. Bharathi

Associate Professor, ISBR Business School , Bangalore, Karnataka , India

S. Ramesh Babu Orcid logo ,
S. Ramesh Babu

Associate Professor, Department of Master of Business Administration, KL Business School, Koneru Lakshmaiah Education Foundation , Guntur, Andhra Pradesh , India

Arshiya Anjum Orcid logo ,
Arshiya Anjum

Assistant Professor, Department of Manipal Law School, Manipal Academy of Higher Education, Manipal University, Bengaluru Campus , Bengaluru, Karnataka , India

S. Mahabub Basha Orcid logo
S. Mahabub Basha

Assistant Professor, Department of Management, International Institute of Business Studies , Bangalore, Karnataka , India

Abstract

The study is an empirical study that examines the factors of employee engagement in the organized retailing sector of Bangalore, India. Since the industry is experiencing a rapid digitalization and high employee turnover, it is essential to understand what organizational and technological factors lead to workforce commitment. An organized survey was carried out on a purposive sample of 250 retail professionals in different format, which includes supermarkets and departmental stores. In the study, descriptive statistics, reliability tests, correlation analysis, and multiple regression modelling were used to test five important constructs, which include leadership support, supervisory practices, work environment, reward systems, and digital readiness. The internal consistency of all the constructs was established as high through statistical analysis, where the α of Cronbach has a range between 0.86 and 0.92. The results of correlation showed that there is a strong positive correlation between Work Environment and Culture and engagement (r = 0.70), then Leadership Support (r = 0.68). The multiple regression was found to be statistically significant (F = 237.62, p = not significant) and the combination of the predictors was found to explain 45.3 % of the variance in staff engagement (R2 = 0.453). The strongest predictor was Work Environment (β= 0.412), Digital Readiness (β = 0.331) and Reward Systems (β = 0.289). The results indicate that long-term motivation in the retail industry cannot be achieved without a moderate combination of supportive human leadership and technological agility. The findings provide an action plan that HR professionals can follow to enhance output and retention rates by using specific workplace culture and digital training programs.

References

1.
Ahmad AY, Kumari SS, Guha SK, Gehlot A, Pant B. Blockchain implementation in financial sector and cyber security system. In2023 International Conference on Artificial Intelligence and Smart Communication (AISC) 2023 Jan 27 (pp. 586-590). IEEE.
2.
Albrecht SL. Employee engagement: 10 key questions for research and practice.
3.
Bakker AB, Demerouti E. Job demands–resources theory. Wellbeing: A complete reference guide. 2014 Feb 3:1-28.
4.
Basha SM, Sheshadri T, Lokesh GR, Babu SR, Kanumuri VV, Lakshmi SN, Shwetha TA. The Impact of Virtual Influencers on Social Media: Driving Customer Engagement and Strengthening Brand Loyalty in the Indian Millennial Market. Dragoman. 2025;(20):1–15.
5.
Breevaart K, Bakker AB. Daily job demands and employee work engagement: The role of daily transformational leadership behavior. Journal of occupational health psychology. 2018 Jul;23(3):338.

Citation

This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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