Methodological and Topic Trends in Information Systems Research: A Meta-Analysis of IS Journals

Given the importance of the health-care industry and the promise of health information systems, researchers are encouraged to build on the shoulders of giants as the saying goes. The health information systems field has a unique opportunity to learn from and extend the work that has already been done by the highly correlated information systems field. As a result, this research article presents a past, present and future meta-analysis of health information systems research in information systems journals over the 2000–2015 time period. Our analysis reviewed 126 articles on a variety of topics related to health information systems research published in the “Senior Scholars” list of the top eight ranked information systems academic journals. Across the selected information systems academic journals, our findings compare research methodologies applied, health information systems topic areas investigated and research trends. Interesting results emerge in the range and evolution of health information systems research and opportunities for health information systems researchers and practitioners to consider moving forward.

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Meta-analysis in information systems research: Review and recommendations

International Journal of Information Management ◽

10.1016/j.ijinfomgt.2020.102226 ◽

2020 ◽

Vol 55 ◽

pp. 102226 ◽

Cited By ~ 1

Author(s):

Anand Jeyaraj ◽

Yogesh K. Dwivedi

Keyword(s):

Information Systems ◽

Meta Analysis ◽

Research Review ◽

Systems Research ◽

Information Systems Research

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Beyond Relative Advantage

Advances in End User Computing - Advanced Topics in End User Computing, Volume 2 ◽

10.4018/978-1-59140-065-3.ch002 ◽

2011 ◽

pp. 18-43

Author(s):

Susan Turner ◽

Phil Turner

Keyword(s):

Information Systems ◽

Case Studies ◽

Information Technologies ◽

Meta Analysis ◽

Relative Advantage ◽

Systematic Account ◽

Systems Research ◽

Information Systems Research ◽

Study Results ◽

Meta Analyses

Researchers in Information Systems have produced a rich collection of meta-analyses and models of factors influencing the uptake of information technologies. In the domain of CSCW, however, these models have largely been neglected, and while there are many case studies, no systematic account of uptake has been produced. We use findings from Information Systems research to structure a meta-analysis of uptake issues as reported in Computer Supported Cooperative Work (CSCW) case studies, supplemented by a detailed re-examination of one of our own case studies from this perspective. This shows that while there are some factors that seem to be largely specific to CSCW introductions, many of the case study results are very similar to standard IS findings. We conclude by suggesting how the two communities of researchers might build on each other’s work.

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Meta-analysis in information systems research: method choices and recommendations for future research

Industrial Management & Data Systems ◽

10.1108/imds-08-2020-0495 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Markus Blut

Keyword(s):

Information Systems ◽

Meta Analysis ◽

Empirical Studies ◽

Analytical Techniques ◽

Problem Formulation ◽

Future Research ◽

Content Type ◽

Systems Research ◽

Information Systems Research ◽

Meta Analyses

PurposeThe use of meta-analysis in information systems (IS) research has increased. Because this research domain has matured and an increasing number of empirical studies have become available, meta-analysis is now perceived as a useful approach to synthesize an increasing body of empirical research. The present paper gives an overview of meta-analytical techniques, the evolution of meta-analysis in IS, the focus of these studies and method choices made by authors.Design/methodology/approachThis overview is based on 100 meta-analysis studies published in IS journals. These meta-analytical studies synthesize data from 6,262 empirical studies, and the meta-analyses were published between 1989 and 2020. The studies were coded with regard to 16 major method choices that IS researchers made when conducting meta-analyses.FindingsThis overview describes the key areas of meta-analysis (e.g. strategy and firm performance) and the journals that publish the meta-analysis. This overview also identifies method issues where meta-analyses have improved in recent years as well as issues that require some attention. Scholars receive guidance about good practices in terms of 16 major method choices related to (1) problem formulation, (2) literature search, (3) coding information, (4) analyzing and integrating effect sizes and (5) interpreting results and reporting findings.Originality/valueAddressing the identified method issues helps authors of future meta-analyses to increase the transparency of reporting and the likelihood of getting published. The substantive findings of a meta-analysis also often depend on researchers' method choices. Similar overviews exist for other disciplines, such as marketing and management.

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An Insight into the Debates Surrounding the Changing Nature, Scope and Focus of Information Systems Research

SSRN Electronic Journal ◽

10.2139/ssrn.2408809 ◽

2014 ◽

Author(s):

Ibrahim Osman Adam

Keyword(s):

Information Systems ◽

Systems Research ◽

Information Systems Research ◽

Insight Into

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A Bridge Too Far?

10.1093/oso/9780198733249.003.0006 ◽

2018 ◽

Author(s):

Charlotte P. Lee ◽

Kjeld Schmidt

Keyword(s):

Information Systems ◽

Science And Technology Studies ◽

Large Scale ◽

Cooperative Work ◽

Computer Supported Cooperative Work ◽

Practical Action ◽

Systems Research ◽

Information Infrastructures ◽

Information Systems Research ◽

Critical Investigation

The study of computing infrastructures has grown significantly due to the rapid proliferation and ubiquity of large-scale IT-based installations. At the same time, recognition has also grown of the usefulness of such studies as a means for understanding computing infrastructures as material complements of practical action. Subsequently the concept of “infrastructure” (or “information infrastructures,” “cyberinfrastructures,” and “infrastructuring”) has gained increasing importance in the area of Computer-Supported Cooperative Work (CSCW) as well as in neighboring areas such as Information Systems research (IS) and Science and Technology Studies (STS). However, as such studies have unfolded, the very concept of “infrastructure” is being applied in different discourses, for different purposes, in myriad different senses. Consequently, the concept of “infrastructure” has become increasingly muddled and needs clarification. The chapter presents a critical investigation of the vicissitudes of the concept of “infrastructure” over the last 35 years.

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