Predictive Factors Of Job Satisfaction Levels Amongst It Professionals In The United States

Research Article
Adebiaye, R
DOI: 
http://dx.doi.org/10.24327/ijrsr.2018.0903.1803
Subject: 
science
KeyWords: 
IT Job Satisfaction, Job Description Index (JDI), Job Predictive Variables, Predictive Factors
Abstract: 

Information Technology (IT) job satisfaction can be influenced by factors categorized into two broad groups of predictive factors. First, the intrinsic factors about the employee’s recruitment and retention which includes; career plateau (the work itself) and advancement opportunities within organizations. Secondly, the extrinsic factors based on the employer’s support like; remuneration, management’s support and coworker relations. This study assesses the predictive factors of IT professionals’ job satisfaction to determine influence of job satisfaction in the United States. Adopting a ‘Simple Random Sampling’ technique using survey methodology, and with settings in the State of Texas, the study also examined the relationship between: IT professionals’ work attitudes and IT job satisfaction. Variables include influence of IT job advancement opportunities, Company’s policies on work requirements, professional development and remuneration rate conditions on IT job satisfaction. The study found that IT job satisfaction is significantly influenced by the three predictive variables like IT professionals’ work attitudes (B=0.434), cordial working relationships (B=0.356) and management support (B=0.391). Other variables like IT job advancement opportunities (B=0.004) and IT professionals’ remuneration conditions (B=0.043) did not have significant statistical predictive outcomes on IT job satisfaction. Analysis was not conducted to raise the assumptions of predictor level of ‘organizational performance comparison’ using statistical factors like presence of outliers, factorability, linearity, and multi collinearity because of the low number sample size (N=120). The effectiveness of this study is determined by the significance of the link between effective IT professional work activities and their job satisfaction.