scholarly journals Database Coverage for Research in Management Information Systems

2006 ◽  
Vol 67 (1) ◽  
pp. 50-62 ◽  
Author(s):  
Karen Chapman ◽  
Paul Brothers

This study examines the database coverage of management information systems (MIS) journals and journal articles referenced by MIS researchers. Lists of titles and references were checked for coverage in twelve databases representing a variety of vendors: five multidisciplinary databases, four business databases, and three computer science or applied science databases. The best coverage of MIS journals is found in ABI/INFORM Global and Business Source Premier. The best coverage of articles referenced by MIS scholars is offered by the same two databases, although Business Source Premier offers significantly more full text. Business Source Premier and Web of Science provide the best coverage for any pair of the databases.

Author(s):  
Sylvia Beyer

Why do so few women major in computer science (CS) or management information systems (MIS)? Are the reasons for women’s underrepresentation in these two disciplines the same? I will address these issues by reporting on my research on female and male undergraduates majoring in CS or MIS. I hypothesize that results from one area of information technology (IT), such as CS, do not necessarily generalize to other areas of IT, such as MIS. Structural barriers exist that keep women from advancement in IT careers (cf. Ahuja, 2002). However, an examination of these is beyond the scope of this article, which focuses on gender differences in IT students. In 2002 only 27.6% of U.S. Bachelor’s degrees in CS and 36.8% in MIS were conferred on women (U.S. Department of Education, 2002), limiting the number of women qualified to enter into the IT workforce. The problem of women’s under representation in IT is not limited to the U.S. Women are underrepresented in CS majors in other Western countries such as Canada (Gadalla, 2001), Germany (Huber, Reiff, Ben, & Schinzel, 2001), Norway (Berg, Gansmo, Hestflatt, Lie, Nordli, & Sorenson, 2002), and Ireland (MacKeogh, 2003). IT cannot afford to underutilize such a valuable and significant part of the workforce. Increasing the representation of women is imperative because “greater diversity among those who create computing technology ensures that those technologies are relevant to and usable by a wider range of people” (Roberts, 2003).


2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.


10.1596/28261 ◽  
2017 ◽  
Author(s):  
Namrata Saraogi ◽  
Diana Katharina Mayrhofer ◽  
Husein Abdul-Hamid

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