Academic journal article The Journal of Developing Areas

Relationship between Individual and Structural Determinants on Job Satisfaction-Analysis of Employee Turnover in the Indian Context

Academic journal article The Journal of Developing Areas

Relationship between Individual and Structural Determinants on Job Satisfaction-Analysis of Employee Turnover in the Indian Context

Article excerpt

INTRODUCTION

One of the biggest challenges for the human resource professional is to retain its employees. Employee turnover has grown in complexity and many new theories and concepts have evolved over a period of time , beginning from March & Simon (1958) believed that " under nearly all condition the most accurate single predictor of labor turnover is the state of economy (March & Simon, 1958. P. 100; Hom & griffeth, 1995, P.53) they also believed enticement provided through employer can influence an employee job satisfaction and the desire to remain with the present employer as turnover theory and practice progressed. Price 1977 links structural or organizational determinants to the turnover process. He suggested that employees will develop activities to enhance job satisfaction rather than be dissatisfied, because employees are more likely to stay on the job when job satisfaction outweighs dissatisfaction. Structural determinants play a vital role in creating job Satisfaction and organizational commitment in the employees. The author would like to study few co relates such as Age, Cost to Company, Marital Status, Number of companies worked for, Years of Experience and Number of years in the same company and understand the Impact of the same on the structural determinants and process variables

THEORETICAL ANALYSIS AND HYPOTHESES

The theoretical frame work for this research based on a Kim, Price Mueller and Watson (1996) Price and Mueller model and understands how individual and structural determinants influence the Job satisfaction. The theoretical framework for this study is shown in Figure1. The response variable in this research is employee turnover and the covariates are Individual and structural determinants.

We tested the following hypothesis:

The following hypotheses are tested to study the relationship of individual and structural determinants with process determinants:

H1a : There is a significant relationship between job motivation and job satisfaction.

H1b : There is a significant relationship between met expectation and job satisfaction.

H1c : There is a significant relationship between autonomy and job satisfaction.

H1d : There is a significant relationship between distributive justice and job satisfaction.

H1e : There is a significant relationship between job stress and job satisfaction.

H1f : There is a significant relationship between Promotional Chances and job satisfaction.

H1d : There is a significant relationship between routinization and job satisfaction.

H1d : There is a significant relationship between social support and job satisfaction.

EMPIRICAL MODEL, VARIABLES AND DATA

Data collection Method

The data is collected from binary solution. Binary solutions are the biggest distribution of Dell, Hp and Lenovo in India. Also they have a back office for client's servicing. The Survey sampled is basically customer touch point employees. Convenience sampling was used to ensure that the desired information can be collected. The data was collected from the 386 employees.

Measurement

The questionnaire was designed on five point Likert scale (1 = strongly disagree to 5 = strongly agree). This stage helped in developing an initial list of 67 items associated with all individual, structural and process determinants. Principal component analysis was conducted to extract a set of factors to study the job satisfaction level. Prior to the final extraction of factors Bartlett test of Sphercity and the Kaiser-Meyer-Olkin measure of sampling confirmed the significant correlation among the variables.

Reliability Analysis of Model

All variables are found to be reliable as their individual factors reliability is also greater than 0.60 for study. In addition, the overall reliability for measurement of model is also recognized by achieving a Cronbach's alpha statistics greater than 0.70.

Validity Analysis of Model

The validity analysis is conducted by using CFA. …

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