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Applying complexity theory for modeling human resource outcomes: Antecedent configurations indicating perceived location autonomy and work environment choice

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  • Spivack, April J.
  • Woodside, Arch G.

Abstract

Who are the knowledge workers perceiving high versus low location autonomy? Do these workers consistently select work environments to enhance their well-being or to enhance their productivity? This study frames the causal conditions for answering these research questions in response to calls (Misangyi et al., 2017; Woodside, 2014) to embrace complexity theory in management research by constructing and testing asymmetric case-based models of decisions and outcomes. The present study examines propositions relating to knowledge worker's choices of work environments, including: P1: Knowledge workers high in intrinsic work motivation consistently select work environment choices to enhance productivity. P2: Knowledge workers with high scores in perceived location autonomy (PLA) consistently select work environments to enhance well-being and/or work productivity. The study includes examining these two and six additional propositions empirically using a sample of full-time professional knowledge workers. The findings deepen and expand on prior symmetric-based theory and analysis.

Suggested Citation

  • Spivack, April J. & Woodside, Arch G., 2019. "Applying complexity theory for modeling human resource outcomes: Antecedent configurations indicating perceived location autonomy and work environment choice," Journal of Business Research, Elsevier, vol. 102(C), pages 109-119.
    • Handle: RePEc:eee:jbrese:v:102:y:2019:i:c:p:109-119
    DOI: 10.1016/j.jbusres.2019.05.006
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    1. Wendy Loretto & Sarah Vickerstaff, 2015. "Gender, age and flexible working in later life," Work, Employment & Society, British Sociological Association, vol. 29(2), pages 233-249, April.
    2. Ronald E. Rice & Douglas E. Shook, 1990. "Relationships Of Job Categories And Organizational Levels To Use Of Communication Channels, Including Electronic Mail: A Meta‐Analysis And Extension," Journal of Management Studies, Wiley Blackwell, vol. 27(2), pages 195-229, March.
    3. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    4. Catherine Truss & Edel Conway & Alessia d’Amato & Gráinne Kelly & Kathy Monks & Enda Hannon & Patrick C Flood, 2012. "Knowledge work: gender-blind or gender-biased?," Work, Employment & Society, British Sociological Association, vol. 26(5), pages 735-754, October.
    5. Richard L. Daft & Robert H. Lengel, 1986. "Organizational Information Requirements, Media Richness and Structural Design," Management Science, INFORMS, vol. 32(5), pages 554-571, May.
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