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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.
6.
Rudawska E, Nickell D. Internal marketing activities in creating employee engagement in B2B marketing: The moderating role of cultural differences based on a comparative analysis of Polish and US markets. Equilibrium (1689-765X). 2024 Dec 1;19(4).
7.
Christian MS, Garza AS, Slaughter JE. Work engagement: A quantitative review and test of its relations with task and contextual performance. Personnel psychology. 2011 Mar;64(1):89-136.
8.
Dawra A, Ramachandran KK, Mohanty D, Gowrabhathini J, Goswami B, Ross DS, Mahabub Basha S. 12Enhancing Business Development, Ethics, and Governance with the Adoption of Distributed Systems. Meta Heuristic Algorithms for Advanced Distributed Systems. 2024 Apr 2:193-209.
9.
De Clercq D, Haq IU, Azeem MU. Self-efficacy to spur job performance: Roles of job-related anxiety and perceived workplace incivility. Management Decision. 2018 Mar 27;56(4):891-907.
10.
Mohammad A, Menhat M, Zaideen IM, Saadon MS. Leadership style and its influence on employee performance and retention in employee engagement mediation: evidence from Jordan’s petroleum retailing sector. International Journal of Procurement Management. 2023;18(4):437-69.
11.
Sumathi K. HRD practices on employee engagement: Retail organizations. SCMS Journal of Indian Management. 2017 Apr 1;14(2):105-12.
12.
Kalyan NB, Ahmad K, Rahi F, Shelke C, Basha SM. Application of Internet of Things and Machine learning in improving supply chain financial risk management System. In2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA) 2023 Sep 29 (pp. 211-216). IEEE.
13.
Karumuri V, Bastray T, Goranta LR, Rekha B, Mary M, Joshi R, Mahabub Basha S. Optimizing Financial Outcomes: An Analysis of Individual Investment Decision Factors. Indian Journal of Information Sources and Services. 2025;15(1):83-90.
14.
Nguyen KL, Moslehpour M, Aminah H, Sulistiawan J. Human resource practices and organizational support as the determinants in enhancing Vietnamese retail employee engagement: The mediating role of job enrichment. Business: Theory and Practice. 2024 May 30;25(1):295-307. :295–307.
15.
Tuffaha M. The determinants of employee’s performance: A literature review. Journal of economics and management sciences. 2020 Aug 23;3(3): p14.
16.
Kotti J, Ganesh CN, Naveenan RV, Gorde SG, Basha M, Pramanik S, Gupta A. Utilizing Big Data Technology for Online Financial Risk Management. InArtificial Intelligence Approaches to Sustainable Accounting 2024 (pp. 135-148). IGI Global Scientific Publishing.
17.
Ghlichlee B, Bayat F. Frontline employees’ engagement and business performance: the mediating role of customer-oriented behaviors. Management Research Review. 2021 Mar 2;44(2):290-317.
18.
Mazharunnisa N, Anilkumar J, Reddy K, Sri Hari V, Sharma N, Bharathi T, Basha SM. A Study on Job Stress and Productivity of Women Employees Working in the IT Sector: A Structural Model. Indian Journal of Information Sources and Services. 2025;15(2):1–10.
19.
Policepatil S, Sharma J, Kumar B, Singh D, Pramanik S, Gupta A, Mahabub BS. Financial sector hyperautomation: transforming banking and investing procedures. InExamining Global Regulations During the Rise of Fintech 2025 (pp. 299-318). IGI Global.
20.
Prabakar S, Santhosh Kumar V, Sangu VS, Muthulakshmi P, Prabakar S, Mahabub Basha S. Catalysts of change: The transformative journey from HR 1.0 to HR 5.0–Innovations, challenges, and strategies in human resource management with technology and data-driven integration. Indian Journal of Information Sources and Services. 2025 Mar;15(1):47-54.
21.
Rana S, Sheshadri T, Malhotra N, Basha SM. Creating Digital Learning Environments: Tools and Technologies for Success. InTransdisciplinary Teaching and Technological Integration for Improved Learning: Case Studies and Practical Approaches 2024 (pp. 1-21). IGI Global. .
22.
Kaur A, Gangwar VP, Devi M. Examining Training as a Moderator in the Relationship Between People Analytics and Employee Performance. Library of Progress-Library Science, Information Technology & Computer. 2024 Jul 15;44(3).
23.
Ramesh JV, Suvaris RD, Mahabub Basha S, Nimma D, Kiran Bala B. Advanced AI-Driven Predictive Modeling for Enhancing Customer Retention in Subscription-Based Service Platforms. InInternational Conference on Cloud Computing, Data Science and Engineering 2025 Jan 16 (pp. 449-463). Singapore: Springer Nature Singapore.
24.
El Gareh F, Elmenssouri A, Oulamine A, Hussain Z. A PRISMA-Based Systematic Review on Organizational Commitment and Logistic Performance. Knowledge Sharing and Fostering Collaborative Business Culture. 2025:213-40.
25.
Manresa A, Sammour A, Mas-Machuca M, Chen W, Botchie D. Humanizing GenAI at work: bridging the gap between technological innovation and employee engagement. Journal of Managerial Psychology. 2025 Jul 25;40(5):472-92.
26.
Shuck B, Reio Jr TG. Employee engagement and well-being: A moderation model and implications for practice. Journal of Leadership & Organizational Studies. 2014 Feb;21(1):43-58.
27.
Singh A, Krishna SH, Tadamarla A, Gupta S, Mane A, Basha M. Design and Implementation of Blockchain Based Technology for Supply Chain Quality Management: Challenges and Opportunities. In2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM) 2023 Dec 12 (pp. 01-06). IEEE.
28.
Tarafdar M, Tu Q, Ragu-Nathan BS, Ragu-Nathan TS. The impact of technostress on role stress and productivity. Journal of management information systems. 2007 Jul 1;24(1):301-28.
29.
Tims M, Bakker AB, Xanthopoulou D. Do transformational leaders enhance their followers’ daily work engagement? The leadership quarterly. 2011 Feb 1;22(1):121-31.
30.
Venkatarathnam N, Shaik MB, Kamilov D, Reddy K, Naidu GR. AI and Fintech: Revolutionizing the Financial Landscape. InAI and Fintech (pp. 143-163). CRC Press.

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