Designing Employee Engagement Framework for a Business Unit of an Indian Multinational Conglomerate
Archna Kumari, Pune Institute of Business Management (PIBM), Pune (Maharashtra), India.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 12480-12507 | Volume-8 Issue-4, November 2019. | Retrieval Number: C6062098319/2019©BEIESP | DOI: 10.35940/ijrte.C6062.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Employee engagement is an area which has been in discussion lately. Many organizations fail to engage their employees as a result they face high attrition resulting to high cost. The level of employee engagement in an organization can be enhanced by identifying the drivers. These drivers can then contribute in developing an employee engagement model and framework which could be of help for the organization in the long run. This research is conducted in one of the business unit of an Indian multinational conglomerate. The purpose of the research was to design an employee engagement framework. For this, the researcher prepared a survey questionnaire using quantitative technique and floated it to all the employees (760) in that business unit. There were total 40 questions out of which 36 were closed ended 5 point Likert scale positive statement and 4 open ended questions.To understand the characteristics of the population size for identifying which all drivers are influencing the employee engagement in the organization the most, the researcher had used Descriptive research. MS Excel and statistical tools were used to analyze the data and to come up to a conclusion. Using the research findings of the research, the researcher framed an employee engagement framework which the company is planning to implement.
Keywords: Employee Engagement, Employee engagement Framework, Drivers of employee engagement, Descriptive research, Engaged employees, Disengaged employees, Business Unit.
Scope of the Article: Big Data Analytics and Business Intelligence.