Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations

Information technology (IT) professionals are a strategic human resource for enabling competitive advantage through the application of data and technologies. Yet, it remains a challenge for organizations to retain top IT talent as the business context and the nature of work change. Retention strateg...

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Main Authors: Zaza, Sam, Joseph, Damien, Armstrong, Deborah J.
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170474
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1704742023-09-14T00:54:06Z Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations Zaza, Sam Joseph, Damien Armstrong, Deborah J. Nanyang Business School Information Technology and Operations Management Business::Industries and labor Social sciences::Sociology IT professionals’ Uniqueness Second-Order Meta-Analysis Turnover Intention IT Workforce IT Talent Management Information technology (IT) professionals are a strategic human resource for enabling competitive advantage through the application of data and technologies. Yet, it remains a challenge for organizations to retain top IT talent as the business context and the nature of work change. Retention strategies that have worked with other business professionals have faced limited success with IT talent, leading some scholars to ask whether the latter re unique in terms of culture, personality, and tools. This study seeks to address this question by (1) undertaking a meta-analysis of studies investigating the turnover intentions of IT professionals, and by (2) conducting a second-order meta-analysis to compare findings between IT and non-IT professionals. The meta-analytic findings identify new antecedents more recently examined in information systems (IS) research while confirming enduring relationships between antecedents and turnover intention. The second-order meta-analysis provides intriguing findings regarding the potential uniqueness of IT professionals. We provide an integrative discussion on the state of turnover intention research within the IS discipline, start a dialog on interdisciplinary comparisons, and offer a forward-looking agenda for future research. We conclude by calling on scholars to revitalize turnover intention research within the IS field by moving toward fresh theories, fresh constructs, and fresh approaches. 2023-09-14T00:54:06Z 2023-09-14T00:54:06Z 2023 Journal Article Zaza, S., Joseph, D. & Armstrong, D. J. (2023). Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations. MIS Quarterly, 47(3), 1213-1238. https://dx.doi.org/10.25300/MISQ/2022/16951 0276-7783 https://hdl.handle.net/10356/170474 10.25300/MISQ/2022/16951 3 47 1213 1238 en MIS Quarterly © 2023 MISQ. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business::Industries and labor
Social sciences::Sociology
IT professionals’ Uniqueness
Second-Order Meta-Analysis
Turnover Intention
IT Workforce
IT Talent Management
spellingShingle Business::Industries and labor
Social sciences::Sociology
IT professionals’ Uniqueness
Second-Order Meta-Analysis
Turnover Intention
IT Workforce
IT Talent Management
Zaza, Sam
Joseph, Damien
Armstrong, Deborah J.
Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations
description Information technology (IT) professionals are a strategic human resource for enabling competitive advantage through the application of data and technologies. Yet, it remains a challenge for organizations to retain top IT talent as the business context and the nature of work change. Retention strategies that have worked with other business professionals have faced limited success with IT talent, leading some scholars to ask whether the latter re unique in terms of culture, personality, and tools. This study seeks to address this question by (1) undertaking a meta-analysis of studies investigating the turnover intentions of IT professionals, and by (2) conducting a second-order meta-analysis to compare findings between IT and non-IT professionals. The meta-analytic findings identify new antecedents more recently examined in information systems (IS) research while confirming enduring relationships between antecedents and turnover intention. The second-order meta-analysis provides intriguing findings regarding the potential uniqueness of IT professionals. We provide an integrative discussion on the state of turnover intention research within the IS discipline, start a dialog on interdisciplinary comparisons, and offer a forward-looking agenda for future research. We conclude by calling on scholars to revitalize turnover intention research within the IS field by moving toward fresh theories, fresh constructs, and fresh approaches.
author2 Nanyang Business School
author_facet Nanyang Business School
Zaza, Sam
Joseph, Damien
Armstrong, Deborah J.
format Article
author Zaza, Sam
Joseph, Damien
Armstrong, Deborah J.
author_sort Zaza, Sam
title Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations
title_short Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations
title_full Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations
title_fullStr Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations
title_full_unstemmed Are IT professionals unique? A second-order meta-analytic comparison of turnover intentions across occupations
title_sort are it professionals unique? a second-order meta-analytic comparison of turnover intentions across occupations
publishDate 2023
url https://hdl.handle.net/10356/170474
_version_ 1779156579794288640