外部搜索中的共同进化锁定

Coevolutionary Lock-In in External Search

ACADEMY OF MANAGEMENT JOURNAL · 2023
被引 20
人大 A+FT50UTD24ABS 4*

中文导读

研究了组织在外部搜索中为何难以获得多样化创意,发现组织对创意的选择一致性会引发外部贡献者的自我调整或退出,导致创意池多样性降低。

Abstract

While external search allows organizations to source diverse ideas from people outside the organization, it often generates a narrow set of nondiverse ideas. We theorize that this stems from an interplay between organizations’ idea selection and the external generation of ideas: an organization selects ideas shared by external contributors, and the external contributors, who strive to see their ideas selected, use the prior selection to infer what kind of ideas the organization is looking for, and to respond. Contributors whose ideas are misaligned with the organization’s selection tend to stop submitting ideas (i.e., self-selection) or adjust the ideas they submit so that they correspond (i.e., self-adjustment), resulting in a less diverse pool of ideas. Our central hypothesis is that the more consistent organizations are in their selection, the stronger the coevolutionary lock-in: organizations with greater selection consistency receive future ideas with lower content variety. We find support for these predictions by combining large-scale network analysis and natural language processing across a large number of organizations that use crowdsourcing. Our findings suggest a reconceptualization of external search as a two-way street: organizations are not simply passive receivers of ideas but send signals that shape the pool of ideas that externals share.

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