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

By Damien Joseph, Kok-Yee Ng, Christine Koh, Soon Ang. MIS Q., 2007

509 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/8c81c4c9f7045a0e8960b6458cd06e70a87c7c80

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In Communication

In Information Systems and Management

In Organizational Behavior and Human Resource Management

Citations in the corpus

Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, background): “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).”
Organizational commitment, job satisfaction and their possible influences on intent to turnover (2018, methodology): “The same was identified in research works with IT professionals, specifically (Gaylard et al., 2005; Joseph et al., 2007).”
Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats (2013, background): ““Turnover of Information Technology Professionals: A Narrative Review, Meta-Analytic Structural Equation Modeling, and Model Development,” MIS Quarterly (31:3), pp. 547-577.”
Integrating Technology Addiction and Use: An Empirical Investigation of Online Auction Users (2011, background): “These theories focus on the influence of the nature of IT work and IT use on one’s family and organization, and vice versa (e.g., Joseph et al. 2007; Rutner et al. 2008).”
Turnover intention: the effects of core self-evaluations, proactive personality, perceived organizational support, developmental feedback, and job complexity (2015, background): “In their meta-analysis of turnover issues in the IT industry, Joseph et al. (2007) summarized extant theories of turnover.”
A Framework for Guiding and Evaluating Literature Reviews (2015, unknown): “For instance, Joseph et al. (2007) conduct a narrative review to summarize the extant knowledge on IT turnover and propose a conceptual model of IT turnover intention that they validate through a meta-analytic review procedure.”
Factors affecting adoption of online banking: A meta-analytic structural equation modeling study (2015, methodology): “Prior research shows that meta-analysis is an effective instrument for statistically testing a new theory [62, 98].”