Today, more than ever before, organizations are faced with the task of processing volumes of information under more uncertain and more competitive environments. This study investigates the impact of environmental uncertainty and task characteristics on user satisfaction with data by using IS and organizational theories. Responses were matched from 77 CEOs and 166 senior managers, who were end users of IS. The partial least squares technique indicated that environmental uncertainty has a positive impact on task characteristics. Task characteristics have a direct and mediating impact on user satisfaction with data. Our findings also demonstrated that user satisfaction with data could be better understood by overlapping IS and organizational theories, rather than by treating the subject matter in disjoint fields. The paper concludes with discussions and implications for researchers and practitioners.
Over the past decade, organizations have made significant investments in enterprise resource planning (ERP) systems. The realization of benefits from these investments depends on supporting effective use of information technology (IT) and satisfying IT users. User satisfaction with information systems is one of the most important determinants of the success of those systems. Drawing upon a sample of 407 end users of ERP systems and working within the framework of confirmatory factor analysis (CFA), this study examines the structure and dimensionality, and reliability and validity of the end-user computing satisfaction (EUCS) instrument posited by Doll and Torkzadeh (1988). In response to Klenke's (1992) motion to cross-validate management information system (MIS) instruments and to retest the end user computing satisfaction instrument using new data, this study's results, consistent with previous findings, confirm that the EUCS instrument maintains its psychometric stability when applied to users of enterprise resource planning application software. Implications of these results for practice and research are provided.
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