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Intent to Leave Versus Intent to Stay in Technology Organizations

Author

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  • Janine Silva Alves Bello

    (Federal University of Santa Catarina, Santa Catarina, Brazil)

  • Andrea Valéria Steil

    (Universidade Federal de Santa Catarina, Santa Catarina, Brazil)

Abstract

The intention to leave a job and the intention to stay at the job are considered the best predictors of staff turnover or retention. Based on this assumption, this study is aimed at analyzing the relationship between demographic variables (employee age, gender, marital status, kinship responsibility, education level), attitudinal variables (job satisfaction, affective commitment to organization, carrier commitment) and behavioral intentions (employees' intention to leave the job and employees' intention to stay at the job). From June to December 2016, on-line questionnaires were applied to knowledge-intensive organizations employees in Florianópolis, Santa Catarina State, Brazil. This article discusses the results and presents suggestions for further investigation.

Suggested Citation

  • Janine Silva Alves Bello & Andrea Valéria Steil, 2020. "Intent to Leave Versus Intent to Stay in Technology Organizations," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 11(2), pages 79-90, April.
    • Handle: RePEc:igg:jhcitp:v:11:y:2020:i:2:p:79-90
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJHCITP.2020040106
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    Cited by:

    1. Lara Bellotti & Sara Zaniboni & Cristian Balducci & Luca Menghini & David M. Cadiz & Stefano Toderi, 2022. "Age Diversity Climate Affecting Individual-Level Work-Related Outcomes," IJERPH, MDPI, vol. 19(5), pages 1-11, March.

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