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<p>The main objective of this study is to explore the emerging patterns in the Information Systems (IS) meta-analysis landscape by reviewing a sample of 162 studies published in IS journals and conferences covering 37&#xa0;years of meta-analysis research. The findings underline the diversity of topics, bodies of knowledge, as well as theories and constructs on various levels of analysis that were examined in recent decades. The key findings and recommendations help IS scholars to conceptualize their meta-analysis study design and redirect their attention to under-researched areas and methodological issues that need improvement, thus to learn from the past for advancing the future.</p>

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Learning from the Past to Advance the Future: Synthesizing the Meta-Analysis Landscape in Information Systems Research

  • 期刊论文

  • 发表日期：

    2025年3月26日

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  • Thuy Duong Oesterreich,
  • Eduard Anton,
  • Julian Schuir,
  • Frank Teuteberg,
  • Adil S. Al-Busaidi,
  • Yogesh K. Dwivedi

摘要

The main objective of this study is to explore the emerging patterns in the Information Systems (IS) meta-analysis landscape by reviewing a sample of 162 studies published in IS journals and conferences covering 37 years of meta-analysis research. The findings underline the diversity of topics, bodies of knowledge, as well as theories and constructs on various levels of analysis that were examined in recent decades. The key findings and recommendations help IS scholars to conceptualize their meta-analysis study design and redirect their attention to under-researched areas and methodological issues that need improvement, thus to learn from the past for advancing the future.