Journal of Computer Information Systems 

About: Journal of Computer Information Systems is an academic journal published by Taylor & Francis. The journal publishes majorly in the area(s): Information system & Information technology. It has an ISSN identifier of 0887-4417. Over the lifetime, 1435 publications have been published receiving 39483 citations.

Does sample size matter in qualitative research?: A review of qualitative interviews in IS research

Abstract: This study examines 83 IS qualitative studies in leading IS journals for the following purposes: (a) identifying the extent to which IS qualitative studies employ best practices of justifying sample size; (b) identifying optimal ranges of interviews for various types of qualitative research; and (c) identifying the extent to which cultural factors (such as journal of publication, number of authors, world region) impact sample size of interviews. Little or no rigor for justifying sample size was shown for virtually all of the IS studies in this dataset. Furthermore, the number of interviews conducted for qualitative studies is correlated with cultural factors, implying the subjective nature of sample size in qualitative IS studies. Recommendations are provided for minimally acceptable practices of justifying sample size of interviews in qualitative IS studies.

Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context

Abstract: The use of Internet social network sites has become an international phenomenon. These websites enable computer-mediated communication between people with common interests such as school, family, and friendship. Popular sites include MySpace and Facebook. Their rapid widespread usage warrants a better understanding. This study contributes to our understanding by empirically investigating factors influencing user adoption of these sites. We introduce the Social Network Site Adoption model to examine the effect of perceptions of normative pressure, playfulness, critical mass, trust, usefulness, and ease of use on usage intention and actual usage of these sites. Structural equation modeling was used to examine the patterns of inter-correlations among the constructs and to empirically test the hypotheses. All the hypothesized determinants have a significant direct effect on intent to use, with perceived playfulness and perceived critical mass the strongest indicators. Intent to use and perceived playfulness h...

Information Technology Continuance: A Theoretic Extension and Empirical Test

Abstract: This paper proposes a theoretical extension of the information technology (IT) continuance model by linking continuance intention to behavior and elaborating the contingent factors that shape IT co...

Critical Success Factors for Enterprise Resource Planning Implementation and Upgrade

Abstract: Seven categories of critical success factors were identified from the ERP literature: (1) business plan and vision; (2) change management; (3) communication; (4) ERP team composition, skills and compensation; (5) management support and championship; (6) project management; (7) system analysis, selection and technical implementation. We conducted a case study of two organizations that had implemented and upgraded ERP systems. We adopted Markus and Tanis' four-phase model and compared the importance of these critical success factors across the phases of ERP implementation and upgrade. The importance of these factors across the phases of ERP implementation and upgrade is very similar. ‘Business Plan and Vision’ and ‘Top Management Support and Championship’ are critical during the Chartering phase. ‘ERP Team Composition, Skills and Compensation,’ ‘Project Management’ and ‘System Analysis, Selection and Technical Implementation’ are most important during the Project phase. ‘Change Management’ and ‘Communicatio...

Critical Success Factors for Business Intelligence Systems

Abstract: The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success The study followed a two-stage qualitative approach Firstly, the authors utilised the Delphi method to conduct three rounds of studies The study develops a CSFs framework crucial for BI systems implementation Next, the framework and the associated CSFs are delineated through a series of case studies The empirical findings substantiate the construct and applicability of the framework More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results