USER INFORMATION SATISFACTION AND JOB SATISFACTION: EXPLORING THE RELATIONSHIP

Normah, Abdullah (1998) USER INFORMATION SATISFACTION AND JOB SATISFACTION: EXPLORING THE RELATIONSHIP. Masters thesis, International Islamic University Malaysia.

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Abstract

The growth of end-user computing in Malaysia has been a phenomenon in the recent years especially in the wake of the information era. In order to remain competitive, most organizations have spent millions of ringgit in upgrading their business and activities by employing the latest information system. In Computimes' Feb 8, 1998 edition, has reported that "Research and Standards body, SIRIM Berhad is spending RM10.4 million this year in developing mission-critical information technology (IT) applications to computerize its business and work-flow activities. These are aimed at meeting day-to-day IT requirement of its organization". Since computer usage has become a substantial part of work processes, an employee can either love their job and hate the information system, or they can hate their job but love the information system. This paper tries to explore the relationship between user information satisfaction (UN) and overall job satisfaction and to determine factors that may influence them. Data on 157 users of 7 organizations were employed to evaluate the framework. The findings showed that UIS and Job Satisfaction are significantly correlated (r = 0.229 at p = 0 004). There is also evidence that technical support in terms of having resident experts available in an organization is the only significant ( r =0.2557 at p = 0.001) variable influencing UIS. Computer Use variable that consists of the frequency and the length of time employees using computers in executing their daily tasks was the only factor that has a significant correlation ( r = 0.1608 at p = 0.044) with Job Satisfaction. The intention to examine the factor that contributes to UIS-Job Satisfaction relationship using path analysis had to be abandoned due to the insignificant relationship between the factors and the two constructs. Implications of these findings for the management of end user computing are discussed.

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