Full Citation

Title: A Numbers Game: Quantification of Work, Auto-Gamification, and Worker Productivity

Citation Type: Journal Article

Publication Year: 2020

ISBN:

ISSN: 19398271

DOI: 10.1177/0003122420936665

NSFID:

PMCID:

PMID:

Abstract: Technological advances and the big-data revolution have facilitated fine-grained, high-frequency, low-cost measurement of individuals’ work. Yet we understand little about the influences of such quantification of work on workers’ behavior and performance. This article investigates how and when quantification of work affects worker productivity. We argue that quantification affects worker productivity via auto-gamification, or workers’ inadvertent transformation of work into an independent, individual-level game. We further argue that quantification is likely to raise productivity in a context of simple work, where auto-gamification is motivating because quantified metrics adequately measure the work being performed. When work is complex, by contrast, quantification reduces productivity because quantified metrics cannot adequately measure the multifaceted work being performed, causing auto-gamification to be demotivating. To substantiate our argument, we study implementation of an RFID measurement technology that quantifies individual workers’ output in real time at a garment factory in India. Qualitative evidence uncovers the auto-gamification mechanism and three conditions that enable it; a natural experiment tests the consequences of quantification of work for worker productivity. This article contributes to the study of quantification, work games, technology, and organizations, and we explore the policy implications of further quantification of work.

Url: https://journals.sagepub.com/doi/10.1177/0003122420936665

User Submitted?: No

Authors: Ranganathan, Aruna; Benson, Alan

Periodical (Full): American Sociological Review

Issue: 4

Volume: 85

Pages: 573-609

Countries: