The use of meta-analysis in MIS research: promises and problems
Open accessAbstract
Meta-ana/ysis involves the use of statistical procedures to integrate research findings across studies.Although it has been warmly embraced in those fields in which experiments are widely used, its application by M/S researchers is very limited.This research explores issues that are important to the conduct and evaluation of metaanalysis.The paper shows that meta-ana/ysis has important advantages over traditional reviews.The potential application of meta-ana/ysis in research integration and theory development and testing is discussed.The use of metaanalysis in M/S research in the past is reviewed.Opportunities for increased use of meta-ana/ysis in the future are investigated.Limitations and potential problems of meta-ana/ysis are discussed to facilitate the evaluation of metaanalysis results.I/tilth these issues clarified, this research should increase the interest of MIS researchers in meta-analysis and its applications.
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Meta-analysis is a valuable tool for research synthesis and an operative instrument for hypothesis testing.
“Prior research shows that meta-analysis is a valuable tool for research synthesis (Hwang 1996; Lee et al. 2003; Ma and Liu 2004; Wu and Lederer 2009) and an operative instrument for hypothesis testing”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Hwang 1996
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- Authors
- Hwang, M. I.
- Corresponding author
- Hwang, Mark I.
- ORCID
- Hwang, Mark I.
- Venue
- ACM SIGMIS Database: the DATABASE for Advances in Information Systems
- Published
- 1996-06
- Volume
- 27
- Issue
- 3
- Pages
- 35-48
- ISSN
- 0095-0033 (ISSN-L)
- 1532-0936
- OpenAlex
- W2051013363
- Cited by
- 56
- References
- 52
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2022: 3 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 2 · 2015: 1 · 2013: 2 · 2012: 4
- FWCI
- 1.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM SIGMIS Database the DATABASE for Advances in Information Systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Keywords
- meta-analysis, information systems research, research integration, theory development, meta-analysis limitations
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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