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Playing in the backstore: interface gamification increases warehousing workforce engagement

Mario Passalacqua, Pierre‐Majorique Léger, Lennart E. Nacke, Marc Frédette, Élise Labonté-LeMoyne, Xinli Lin, Tony Caprioli, Sylvain Sénécal

2020Industrial Management & Data Systems49 citationsDOI

Abstract

Purpose In a warehouse setting, where hourly workers performing manual tasks account for more than half of total warehouse expenditure, a lack of employee engagement has been directly linked to company performance. In this article, the authors present a laboratory experiment in which two gamification elements, goal setting and feedback, are implemented in a wearable warehouse management system (WMS) interface to examine their effect on user engagement and performance in an item picking task. Both implicit (neurophysiological) and explicit (self-reported) measures of engagement are used, allowing for a richer understanding of the user's perceived and physiological state. Design/methodology/approach This experiment uses a within-subject design. Two experimental factors, goals and feedback, are manipulated, leading to three conditions: no gamification condition, self-set goals and feedback and assigned goals and feedback. Twenty-one subjects participated (mean age = 24.2, SD = 2.2). Findings This article demonstrates that gamification can successfully increase employee engagement, at least in the short-term. The integration of self-set goals and feedback game elements has the greatest potential to generate long-term intrinsic motivation and meaningful engagement, leading to greater employee engagement and performance. Originality/value This article explores the underlying effects of gamification through two of the most prominent motivational theories (self-determination theory [SDT] and goal-setting theory) and one of the leading employee engagement models (job demands-resource model [JD-R[ model). This provides a theory-rich interpretation of the data, which allows to uncover the motivational pathways by which gamification affects engagement and performance.

Topics & Concepts

Employee engagementOriginalitySet (abstract data type)PsychologyWorkforceTask (project management)Knowledge managementValue (mathematics)Self-determination theoryIntrinsic motivationHuman–computer interactionComputer scienceApplied psychologySocial psychologyEngineeringProgramming languageSystems engineeringMachine learningAutonomyEconomicsEconomic growthLawCreativityPublic relationsPolitical scienceMind wandering and attentionFlow Experience in Various FieldsHuman-Automation Interaction and Safety
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