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

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

doi:10.1007/s10796-025-10598-y

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

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

^*Corresponding author for this work

Interdisciplinary Research Center for Finance and Digital Economy

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Article number	e81823
Journal	Information Systems Frontiers
DOIs	https://doi.org/10.1007/s10796-025-10598-y
State	Accepted/In press - 2025

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

Keywords

Guidelines
Information systems research
Literature review
Meta-analysis
Research method

ASJC Scopus subject areas

Software
Theoretical Computer Science
Information Systems
Computer Networks and Communications

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abstract = "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.",

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AU - Schuir, Julian

AU - Teuteberg, Frank

AU - Al-Busaidi, Adil S.

AU - Dwivedi, Yogesh K.

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KW - Guidelines

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KW - Literature review

KW - Meta-analysis

KW - Research method

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ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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