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The Predictors of Employee Engagement: A Study in a Ferro Alloys Company of India

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  • Sasmita Mishra
  • Jitendra Kumar Mohanty

Abstract

Employee engagement is now the buzzword for any organization. Although it was initially believed that a satisfied employee is the most engaged employee, contradictory findings have compelled researchers to identify alternate models of engagement. In the same line of thought, this study aims at identifying the triggers of employee engagement. Employees in the payroll of a reputed ferro alloys company of India were surveyed to obtain relevant information on employee engagement. Data analysis on 250 responses reveals that factors such as age, senior leadership, manager, colleagues, customers, work, resources, processes, career opportunities, learning and development, work–life balance, physical work environment, policies, people practices, performance assessment, diversity, company reputation, pay, benefits and recognition significantly correlated with employee engagement. However, on account of multicollinearity, when stepwise regression was conducted, following factors were found to be significantly predicting employee engagement: senior leadership, work, company reputation, manager, process, colleague and physical work environment. Results were discussed in relations to recent findings in other industries.

Suggested Citation

  • Sasmita Mishra & Jitendra Kumar Mohanty, 2016. "The Predictors of Employee Engagement: A Study in a Ferro Alloys Company of India," Global Business Review, International Management Institute, vol. 17(6), pages 1441-1453, December.
  • Handle: RePEc:sae:globus:v:17:y:2016:i:6:p:1441-1453
    DOI: 10.1177/0972150916660429
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    References listed on IDEAS

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    1. Willis, Cleve E. & Perlack, Robert D., 1978. "Multicollinearity: Effects, Symptoms, And Remedies," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 7(1), pages 1-7, April.
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    3. Willis, Cleve E. & Perlack, Robert D., 1978. "Multicollinearity: Effects, Symptoms, And Remedies," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 1), pages 1-7, April.
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