Using Digital Nudges to Enhance Collective Intelligence in Online Collaboration: Insights from Unexpected Outcomes

轻推理论 集体智慧 知识管理 众包 心理学 公共关系 计算机科学 数据科学 营销 社会学 业务 社会心理学 政治学 万维网
作者
Pranav Gupta,Young Ji Kim,Ella Glikson,Anita Williams Woolley
出处
期刊:Management Information Systems Quarterly [MIS Quarterly]
卷期号:48 (1): 393-408 被引量:4
标识
DOI:10.25300/misq/2023/16752
摘要

The dramatic expansion of internet communication tools has led to the increased use of temporary online groups to solve problems, provide services, or produce new knowledge. However, many of these groups need help to collaborate effectively. The rapid development of new tools and collaboration forms requires ongoing experimentation to develop and test new ways to support this novel form of teamwork. Building on research demonstrating the use of nudges to shape behavior, we report the results of an experiment to nudge teamwork in 168 temporary online groups randomly assigned to one of four different nudge treatments. Each nudge was designed to spur one of three targeted collaborative processes (collaborator skill use, effective task strategy, and the level of collective effort) demonstrated to enhance collective intelligence in extant research. Our results support the basic notion that digitally nudging collaborative processes can improve collective intelligence. However, to our surprise, a couple of nudges had unintended negative effects and ultimately decreased collective intelligence. We discuss our results using structured speculation to systematically consider the conditions under which we would or would not expect the same patterns to materialize in order to clearly articulate directions for future research.
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