Network structure and innovation ambiguity effects on diffusion in dynamic organizational fields

• 成果类型: Article
• 署名作者: Gibbons, DE
• 署名单位: United States Department of Defense; United States Navy; Naval Postgraduate School
• 刊物名称: ACADEMY OF MANAGEMENT JOURNAL
• ISSN/ISSBN: 0001-4273
• DOI: 10.5465/20159633
• 发表日期: 2004
• 页码: 938-951
• 关键词: models; simulation; patterns

摘要

Computational modeling simulated innovation diffusion through six prototypical interregional network structures and two distributions of partnering tendencies in dynamic organizational fields. Compared to regional constraints, connections among all geographic regions decreased clearly beneficial innovation diffusion (a low-threshold adoption model) but increased ambiguous innovation diffusion (a social influence model). Compared with uniform partnering tendencies, normally distributed partnering tendencies increased diffusion of ambiguous innovations. Overall, local and interregional network structures interacted with the observability of an innovation's benefits to determine diffusion.