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Meta-analysis in information systems research: Review and recommendations

Author

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  • Jeyaraj, Anand
  • Dwivedi, Yogesh K.

Abstract

Meta-analysis has gained considerable momentum in information systems (IS) research over the last two decades. As the IS discipline has matured and grappled with various applications of information technology (IT) tools, meta-analysis has served as a powerful mechanism to enable the synthesis of prior findings, reconciliation of inconsistent findings, and resolution of relationships. Prior meta-analysis studies in IS have employed derived metrics and reported effect sizes in both exploratory and confirmatory approaches, and also conducted descriptive analysis, comparison of subgroup means, regression, and structural equation modeling methods. This paper conducts a review of prior meta-analysis studies published since 2000 using a 2 × 2 framework and identifies the state of meta-analysis research in IS. The challenges in conducting meta-analysis research and the opportunities for meta-analysis research in IS are also identified. Based on the challenges, several recommendations to handle publication bias, inclusion and exclusion of studies, effect sizes, coding, meta-analysis modeling, and sensitivity analysis are provided. Opportunities for meta-analysis such as clarifying constructs and relationships, identifying contingencies, and testing theories to advance IS research are also identified.

Suggested Citation

  • Jeyaraj, Anand & Dwivedi, Yogesh K., 2020. "Meta-analysis in information systems research: Review and recommendations," International Journal of Information Management, Elsevier, vol. 55(C).
    • Handle: RePEc:eee:ininma:v:55:y:2020:i:c:s0268401220311695
    DOI: 10.1016/j.ijinfomgt.2020.102226
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    Citations

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    Cited by:

    1. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    2. 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.
    3. Vazirani, Ashish & Sarkar, Subhro & Bhattacharjee, Titas & Dwivedi, Yogesh K & Jack, Sarah, 2023. "Information signals and bias in investment decisions: A meta-analytic comparison of prediction and actual performance of new ventures," Journal of Business Research, Elsevier, vol. 155(PB).
    4. Gupta, Parul & Chauhan, Sumedha, 2023. "Dynamics of corporate governance mechanisms - family firms’ performance relationship- a meta-analytic review," Journal of Business Research, Elsevier, vol. 154(C).
    5. Yogesh K Dwivedi & Elvira Ismagilova & Prianka Sarker & Anand Jeyaraj & Yassine Jadil & Laurie Hughes, 2023. "A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption," Information Systems Frontiers, Springer, vol. 25(4), pages 1421-1437, August.
    6. Ransome Epie Bawack & Emilie Bonhoure, 2023. "Influencer is the New Recommender: insights for Theorising Social Recommender Systems," Information Systems Frontiers, Springer, vol. 25(1), pages 183-197, February.
    7. Yogesh K. Dwivedi & Elvira Ismagilova & Nripendra P. Rana & Ramakrishnan Raman, 2023. "Social Media Adoption, Usage And Impact In Business-To-Business (B2B) Context: A State-Of-The-Art Literature Review," Information Systems Frontiers, Springer, vol. 25(3), pages 971-993, June.
    8. Varsha P S & Amrita Chakraborty & Arpan Kumar Kar, 2024. "How to Undertake an Impactful Literature Review: Understanding Review Approaches and Guidelines for High-impact Systematic Literature Reviews," South Asian Journal of Business and Management Cases, , vol. 13(1), pages 18-35, April.
    9. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
    10. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    11. Verma, Deepak & Prakash Dewani, Prem & Behl, Abhishek & Pereira, Vijay & Dwivedi, Yogesh & Del Giudice, Manilo, 2023. "A meta-analysis of antecedents and consequences of eWOM credibility: Investigation of moderating role of culture and platform type," Journal of Business Research, Elsevier, vol. 154(C).

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