Staying or Leaving? How Job Satisfaction, Embeddedness and Antecedents Predict Turnover Intentions of Software Professionals

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kuutila, Miikka, Ralph, Paul, Qiu, Huilian Sophie, Santos, Ronnie de Souza, Choetkiertikul, Morakot, Fard, Amin Milani, Alkadhi, Rana, Devroey, Xavier, Robles, Gregorio, Hata, Hideaki, Baltes, Sebastian, Arif, Hera, Kovalenko, Vladimir, Chakraborty, Shalini, Tuzun, Eray, Adisaputri, Gianisa
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866918233200656384
author Kuutila, Miikka
Ralph, Paul
Qiu, Huilian Sophie
Santos, Ronnie de Souza
Choetkiertikul, Morakot
Fard, Amin Milani
Alkadhi, Rana
Devroey, Xavier
Robles, Gregorio
Hata, Hideaki
Baltes, Sebastian
Arif, Hera
Kovalenko, Vladimir
Chakraborty, Shalini
Tuzun, Eray
Adisaputri, Gianisa
author_facet Kuutila, Miikka
Ralph, Paul
Qiu, Huilian Sophie
Santos, Ronnie de Souza
Choetkiertikul, Morakot
Fard, Amin Milani
Alkadhi, Rana
Devroey, Xavier
Robles, Gregorio
Hata, Hideaki
Baltes, Sebastian
Arif, Hera
Kovalenko, Vladimir
Chakraborty, Shalini
Tuzun, Eray
Adisaputri, Gianisa
contents Context: Voluntary turnover is common in the software industry, increasing recruitment and onboarding costs and the risk of losing organizational and tacit knowledge. Objective: This study investigates how job satisfaction, work-life balance, job embeddedness, and their antecedents, including job quality, personality traits, attitudes toward technical and sociotechnical infrastructure, and perceptions of organizational justice, relate to software professionals' turnover intentions. Method: We conducted a geographically diverse cross-sectional survey of software professionals (N = 224) and analyzed the data using partial least squares structural equation modeling (PLS-SEM). Our model includes both reflective and formative constructs and tests 15 hypotheses grounded in occupational psychology and software engineering literature. Results: Job satisfaction and embeddedness were significantly negatively associated with software professionals' turnover intentions, while work-life balance showed no direct effect. The strongest antecedents for job satisfaction were work-life balance and job quality, while organizational justice was the strongest predictor of job embeddedness. Discussion: The resulting PLS-SEM model has considerably higher explanatory power for key outcome variables than previous work conducted in the software development context, highlighting the importance of both psychological (e.g., job satisfaction, job embeddedness) and organizational (e.g., organizational justice, job quality) factors in understanding turnover intentions of software professionals. Our results imply that improving job satisfaction and job embeddedness is the key to retaining software professionals. In turn, enhancing job quality, supporting work-life balance, and ensuring high organizational justice can improve job satisfaction and embeddedness, indirectly reducing turnover intentions.
format Preprint
id arxiv_https___arxiv_org_abs_2512_00869
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Staying or Leaving? How Job Satisfaction, Embeddedness and Antecedents Predict Turnover Intentions of Software Professionals
Kuutila, Miikka
Ralph, Paul
Qiu, Huilian Sophie
Santos, Ronnie de Souza
Choetkiertikul, Morakot
Fard, Amin Milani
Alkadhi, Rana
Devroey, Xavier
Robles, Gregorio
Hata, Hideaki
Baltes, Sebastian
Arif, Hera
Kovalenko, Vladimir
Chakraborty, Shalini
Tuzun, Eray
Adisaputri, Gianisa
Software Engineering
Context: Voluntary turnover is common in the software industry, increasing recruitment and onboarding costs and the risk of losing organizational and tacit knowledge. Objective: This study investigates how job satisfaction, work-life balance, job embeddedness, and their antecedents, including job quality, personality traits, attitudes toward technical and sociotechnical infrastructure, and perceptions of organizational justice, relate to software professionals' turnover intentions. Method: We conducted a geographically diverse cross-sectional survey of software professionals (N = 224) and analyzed the data using partial least squares structural equation modeling (PLS-SEM). Our model includes both reflective and formative constructs and tests 15 hypotheses grounded in occupational psychology and software engineering literature. Results: Job satisfaction and embeddedness were significantly negatively associated with software professionals' turnover intentions, while work-life balance showed no direct effect. The strongest antecedents for job satisfaction were work-life balance and job quality, while organizational justice was the strongest predictor of job embeddedness. Discussion: The resulting PLS-SEM model has considerably higher explanatory power for key outcome variables than previous work conducted in the software development context, highlighting the importance of both psychological (e.g., job satisfaction, job embeddedness) and organizational (e.g., organizational justice, job quality) factors in understanding turnover intentions of software professionals. Our results imply that improving job satisfaction and job embeddedness is the key to retaining software professionals. In turn, enhancing job quality, supporting work-life balance, and ensuring high organizational justice can improve job satisfaction and embeddedness, indirectly reducing turnover intentions.
title Staying or Leaving? How Job Satisfaction, Embeddedness and Antecedents Predict Turnover Intentions of Software Professionals
topic Software Engineering
url https://arxiv.org/abs/2512.00869