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Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals

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  • Mathieu Templier
  • Guy Paré

Abstract

The central role of information systems review articles has been recognised in a recent explosion of interest in editorials, research articles, and opinion papers investigating methods and approaches for conducting standalone reviews. In continuity with recent developments in this area, this descriptive review seeks to determine the extent to which various types of review articles published in our field are transparent, i.e., they report important methodological elements about their design. To fulfil this objective, we identified, classified, and coded 142 review articles from the Association for Information Systems (AIS) senior scholars’ basket of journals published between 2000 and 2014. Overall, our findings indicate inadequate reporting of the methods, procedures, and techniques used in a majority of reviews. Our assessment also reveals that theory development and narrative reviews, which are the most frequently published types of reviews in our field, generally were the least explicit with regard to the methods they used. Based on our observations, we recommend that authors of all forms of reviews better document design decisions so to increase trustworthiness, get meaningful results, and develop a cumulative body of knowledge in our discipline. The list of reporting items developed in this study can serve as a framework to assist prospective authors of reviews both within and outside our field.

Suggested Citation

  • Mathieu Templier & Guy Paré, 2018. "Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(5), pages 503-550, September.
    • Handle: RePEc:taf:tjisxx:v:27:y:2018:i:5:p:503-550
    DOI: 10.1080/0960085X.2017.1398880
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    Cited by:

    1. Thorsten Schoormann & Julia Schweihoff & Ilka Jussen & Frederik Möller, 2023. "Classification tools for business models: Status quo, comparison, and agenda," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-36, December.
    2. Judit Sulyok & Beáta Fehérvölgyi & Tibor Csizmadia & Attila I. Katona & Zsolt T. Kosztyán, 2023. "Does geography matter? Implications for future tourism research in light of COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1601-1637, March.
    3. Albanese, Massimo, 2023. "Reviewing literature through multidimensional representations," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    4. Lai-Ying Leong & Teck-Soon Hew & Keng-Boon Ooi & Bhimaraya Metri & Yogesh K. Dwivedi, 2023. "Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach," Information Systems Frontiers, Springer, vol. 25(5), pages 1847-1879, October.
    5. Thuy Duong Oesterreich & Eduard Anton & Julian Schuir & Alexander Brehm & Frank Teuteberg, 2023. "How can I help you? Design principles for task-oriented speech dialog systems in customer service," Information Systems and e-Business Management, Springer, vol. 21(1), pages 37-79, March.
    6. Zeng, Tian & Botella-Carrubi, Dolores, 2023. "Improving societal benefit through transformative consumer research: A descriptive review," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    7. Stroh, Tim & Mention, Anne-Laure & Duff, Cameron, 2023. "The impact of evolved psychological mechanisms on innovation and adoption: A systematic literature review," Technovation, Elsevier, vol. 125(C).

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