A crowdsourced nickel‐and‐dime approach to analog OBM research: A behavioral economic framework for understanding workforce attrition. Issue 2 (26th August 2016)

• Record Type: Journal Article
• Authors: Henley, Amy J.; DiGennaro Reed, Florence D.; Reed, Derek D.; Kaplan, Brent A.
• Is Part Of: Journal of the experimental analysis of behavior. Volume 106:Issue 2(2016:Sep.)
• Page Start: 134
• Page End: 144
• Publication Date: 2016-08-26
• Subjects: performance management -- demand -- behavioral economics -- incentives -- Amazon Mechanical Turk -- crowdsourcing -- human; Psychology -- Periodicals; 150.724
• DOI: 10.1002/jeab.220
• Languages: English
• ISSNs: 0022-5002

Abstract

Abstract : Incentives are a popular method to achieve desired employee performance; however, research on optimal incentive magnitude is lacking. Behavioral economic demand curves model persistence of responding in the face of increasing cost and may be suitable to examine the reinforcing value of incentives on work performance. The present use‐inspired basic study integrated an experiential human operant task within a crowdsourcing platform to evaluate the applicability of behavioral economics for quantifying changes in workforce attrition. Participants included 88 Amazon Mechanical Turk Workers who earned either a $0.05 or $0.10 incentive for completing a progressively increasing response requirement. Analyses revealed statistically significant differences in breakpoint between the two groups. Additionally, a novel translation of the Kaplan‐Meier survival‐curve analyses for use within a demand curve framework allowed for examination of elasticity of workforce attrition. Results indicate greater inelastic attrition in the $0.05 group. We discuss the benefits of a behavioral economic approach to modeling employee behavior, how the metrics obtained from the elasticity of workforce attrition analyses (e.g., P max ) may be used to set goals for employee behavior while balancing organizational costs, and how economy type may have influenced observed outcomes.