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Modelling the Impact of Demographic Variables on Employee Motivation Levels in Automobile Industry


Affiliations
1 Assistant Professor, The NorthCap University, The NorthCap University, Near Rotary Public School Cartarpuri Alias, Huda, Sector 23A, Gurugram, Haryana, India
2 Assistant Professor at School of Management, The NorthCap University, Near Rotary Public School Cartarpuri Alias, Huda, Sector 23A, Gurugram, Haryana, India

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Motivation of employees is one of the most critical components for an organization to be effective and efficient. Employee motivation is presented in the form of commitment, job satisfaction, high energy levels, willingness to take challenging assignments, and innovation while they are working for their organizations. It becomes very important for organizations to devise strategies and ways through which they can motivate and retain their employees. The present study is aimed to predict the motivation level of employees in automobile industry on the basis of their demographic variables using machine learning algorithms. The motivation level is measured by structured questionnaire with 70 items on the scale. The sample was collected from employees in automobile sector in Delhi/NCR region with a sample size of 340 employees. Analysis of the sampled data revealed that the machine learning algorithm is able to depict the motivation levels of employees on the basis of age, gender, and designation.

Keywords

Automobile Industry, Machine Learning, Motivation.

Manuscript Received: January 2, 2020; Revised: January 16, 2020; Accepted: January 19, 2020. Date of Publication: February 5, 2020.

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  • Modelling the Impact of Demographic Variables on Employee Motivation Levels in Automobile Industry

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Authors

Ruchi Nayyar
Assistant Professor, The NorthCap University, The NorthCap University, Near Rotary Public School Cartarpuri Alias, Huda, Sector 23A, Gurugram, Haryana, India
Poonam Arora
Assistant Professor at School of Management, The NorthCap University, Near Rotary Public School Cartarpuri Alias, Huda, Sector 23A, Gurugram, Haryana, India

Abstract


Motivation of employees is one of the most critical components for an organization to be effective and efficient. Employee motivation is presented in the form of commitment, job satisfaction, high energy levels, willingness to take challenging assignments, and innovation while they are working for their organizations. It becomes very important for organizations to devise strategies and ways through which they can motivate and retain their employees. The present study is aimed to predict the motivation level of employees in automobile industry on the basis of their demographic variables using machine learning algorithms. The motivation level is measured by structured questionnaire with 70 items on the scale. The sample was collected from employees in automobile sector in Delhi/NCR region with a sample size of 340 employees. Analysis of the sampled data revealed that the machine learning algorithm is able to depict the motivation levels of employees on the basis of age, gender, and designation.

Keywords


Automobile Industry, Machine Learning, Motivation.

Manuscript Received: January 2, 2020; Revised: January 16, 2020; Accepted: January 19, 2020. Date of Publication: February 5, 2020.


References





DOI: https://doi.org/10.17010/ijcs%2F2020%2Fv5%2Fi1%2F151313