Population analysis of organizational innovation and learning

• 成果类型: Article
• 署名作者: Hartley, Jean
• 署名单位: Open University - UK
• 刊物名称: PUBLIC ADMINISTRATION
• ISSN/ISSBN: 0033-3298
• DOI: 10.1111/padm.12771
• 发表日期: 2022
• 页码: 942-959
• 关键词: SERVICE ORGANIZATIONS; public-sector; beacon scheme; KNOWLEDGE; FAILURE; LESSONS; POLICY

摘要

This article argues for a population level of analysis, addressing a theoretical and empirical gap and enabling the analysis of transition, tempo, and timing at the macro level. The article examines four theories of population-level innovation: population ecology, neo-institutional theory, innovation diffusion, and population-level learning theory. A population-level empirical study of innovation and organizational learning addresses three research questions: the first and second examine patterns of innovation underpinned by learning over space and over time. The third concerns the processes and dynamics of those patterns. The data derive from the local government using mixed methods and multiple respondents over 9 years. The research shows the uneven spread of learning across the population, with the emergence of two subpopulations. Over time, innovation and learning strategies shifted. Learning in the population occurred through both direct interaction and vicarious learning from others in the population. Implications for population-level theory, innovation, and learning are explored.