Cited by 480Job Satisfaction and Organizational BehaviorInformation Systems Education and Curriculum DevelopmentEmployer Branding and e-HRM

Turnover of Information Technology Professionals: A Narrative Review, Meta-Analytic Structural Equation Modeling, and Model Development1

Joseph, Damien, Ng, Kok-Yee, Koh, Christine, Ang, Soon·2007·MIS Quarterly

Abstract

This study combines a narrative review with meta-analytic techniques to yield important insights about the existing research on turnover of information technology professionals. Our narrative review of 33 studies shows that the 43 antecedents to turnover intentions of IT professionals could be mapped onto March and Simon’s (1958) distal-proximal turnover framework. Our meta-analytic structural equation modeling shows that proximal constructs of job satisfaction (reflecting the lack of desire to move) and perceived job alternatives (reflecting ease of movement) partially mediate the relationships between the more distal individual attributes, job-related and perceived organizational factors, and IT turnover intentions. Building on the findings from our review, we propose a new theoretical model of IT turnover that presents propositions for future research to address existing gaps in the IT literature.

Integrity signals

Registry

Crossref · 10.2307/25148807

Cites

125 of 125 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A major advantage of MASEM is that not all relationships specified by the theory need to be examined in each primary study, as population correlations can be meta-analytically computed.

    “A major advantage of this technique is that not all relationships specified by the theory need to be examined in each primary study, as the population correlations required can be meta-analytically computed (Joseph et al. 2007; Viswesvaran and Ones 1998).”

Cites

Flagged first, then by citations

3 of the 128 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Joseph, D., Ng, K.-Y., Koh, C., & Ang, S.
Affiliations
  • Nanyang Technological University (SG)
  • Nanyang Business School, Nanyang Technological University, Singapore 639798, Republic of Singapore
Venue
MIS Quarterly
Publisher
MIS Quarterly
Published
2007-09-01
Volume
31
Issue
3
Pages
547-577
ISSN
  • 0276-7783 (ISSN-L)
  • 2162-9730
OpenAlex
W2101250137
Cited by
468
References
128
Citations by year
2026: 7 · 2025: 20 · 2024: 13 · 2023: 25 · 2022: 28 · 2021: 22 · 2020: 27 · 2019: 28 · 2018: 21 · 2017: 25 · 2016: 34 · 2015: 39 · 2014: 40 · 2013: 32 · 2012: 39
FWCI
2.92
Type
journal article
Language
en
Open access
closed
Locations
MIS Quarterly (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
  • Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
Keywords
IT professionals, employee turnover, turnover intention, job satisfaction, organizational factors, individual attributes

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

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 ›

Are you an author, or do you see a problem with this page? Request a review