*Corresponding author: Adebiaye, R Department of Informatics, University of South Carolina Upstate, USA ISSN: 0976-3031 Research Article PREDICTIVE FACTORS OF JOB SATISFACTION LEVELS AMONGST IT PROFESSIONALS IN THE UNITED STATES Adebiaye, R * Department of Informatics, University of South Carolina Upstate, USA DOI: http://dx.doi.org/10.24327/ijrsr.2018.0903.1803 ARTICLE INFO 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. INTRODUCTION Information Technology (IT) professionals are experts or workers in the field of Information Systems and security management, cloud infrastructure and Internet Protocols (IP) telephony management, software, media computer communications and related computer-based application analyst and expertise. Most studies on assessment of job satisfaction have borrowed a lot from the theoretical framework approach of Herzberg’s (1966). Herzberg’s theory (1968, 2003) explains a two-factor theory of motivation which explains the enhancement of job satisfaction. Other studies have also borrowed from Smith, Kendall, and Hulin’s (1969) facet- specific job satisfaction theory which mainly evaluates job satisfaction on the Job Description Index (JDI). From these theories, Pii (2003) categorized job satisfaction into two broad groups of factors. First, the intrinsic factors about the employee which includes; the work itself and advancement opportunities within the organization. Secondly, the extrinsic factors based on the employer’s support like; remuneration, management’s support, company’s policy of advancement and professional development and co-worker relationships. The (JDI) comprised of five components including relationship with coworkers, the job specifications, remuneration or salary, opportunities for employment advancement, and job supervision. The JDI is designed to measure employees' satisfaction with their jobs in those five job satisfaction components (Jorge & Heloisa, 2006). Studies by Chouhan, Verma, Sanghvi, and Gupta (2013) revealed that employees are strongly motivated by factors like; relationships with fellow workers, public attitudes towards their profession and managers, the nature of work they do, job security and the amount of responsibility the employees have. Scott (2014) cites that, the better the state of the relationships between fellow workers, the higher the motivation of employees within that organization. Conversely, the higher the rating by the public on JDI, the better the motivation on job satisfaction. Zembylas and Papanastasiou (2004) while studying job satisfaction among educational IT experts, viewed IT professional’s job Available Online at http://www.recentscientific.com International Journal of Recent Scientific Research International Journal of Recent Scientific Research Vol. 9, Issue, 3(H), pp. 25158-25165, March, 2018 Copyright © Adebiaye, R et al, 2018, this is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. DOI: 10.24327/IJRSR CODEN: IJRSFP (USA) Article History: Received 15 th December, 2017 Received in revised form 25 th January, 2018 Accepted 23 rd February, 2018 Published online 28 th March, 2018 Key Words: IT Job Satisfaction, Job Description Index (JDI), Job Predictive Variables, Predictive Factors