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

April J. Spivack and Arch G. Woodside

Journal of Business Research, 2019, vol. 102, issue C, 109-119

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.

Keywords: Complexity; Knowledge workers; Intrinsic motivation; Perceived location autonomy; Work environment choice (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:102:y:2019:i:c:p:109-119

DOI: 10.1016/j.jbusres.2019.05.006

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