市政创新生态系统中的创新行为与互动

IF 0.8 4区 经济学 Q3 ECONOMICS
Misty Sabol
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引用次数: 0

摘要

开放式创新生态系统在企业和产品创新中发挥着重要作用,并为市级经济发展的成功做出了贡献,然而,有关市级创新生态系统(MIE)中创新行为驱动因素的研究却很少。本研究探讨了在城市创新生态系统中,相关个人的人际和个人内部资源是如何促进创新行为的。本研究采用混合方法建立了一个新颖的框架,以考察阿拉巴马州莫比尔市的创新行为。使用 PLS-SEM 对调节中介模型进行了检验。本研究提出的定性研究结果揭示了有助于评估市政当局个人层面创新的新结构。研究采用了量表开发步骤来验证这些新的结构。SEM 结果表明,个人资源和社会互动会影响 MIE 中的创新行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Innovative behavior and interactions in municipal innovation ecosystems

Innovative behavior and interactions in municipal innovation ecosystems

Open innovation ecosystems play an important role in corporate and product innovation and contribute to the success of economic development at the municipal level, yet there is little research on the factors driving innovative behavior within a municipal innovation ecosystem (MIE). This study explores how the interpersonal and intrapersonal resources of the individuals involved contribute to innovative behavior within a city’s innovation ecosystem. This study applies a mixed-method approach to build a novel framework to examine innovative behavior in the Mobile, Alabama, municipality. A moderated mediation model is tested using PLS-SEM. The qualitative findings presented in this study uncover new constructs useful for assessing innovation at the individual level in a municipality. Scale development steps are employed to validate these new constructs. The SEM results suggest that personal resources and social interactions impact innovative behavior in an MIE.

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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
33
期刊介绍: Journal of Economic Interaction and Coordination addresses the vibrant and interdisciplinary field of agent-based approaches to economics and social sciences. It focuses on simulating and synthesizing emergent phenomena and collective behavior in order to understand economic and social systems. Relevant topics include, but are not limited to, the following: markets as complex adaptive systems, multi-agents in economics, artificial markets with heterogeneous agents, financial markets with heterogeneous agents, theory and simulation of agent-based models, adaptive agents with artificial intelligence, interacting particle systems in economics, social and complex networks, econophysics, non-linear economic dynamics, evolutionary games, market mechanisms in distributed computing systems, experimental economics, collective decisions. Contributions are mostly from economics, physics, computer science and related fields and are typically based on sound theoretical models and supported by experimental validation. Survey papers are also welcome. Journal of Economic Interaction and Coordination is the official journal of the Association of Economic Science with Heterogeneous Interacting Agents. Officially cited as: J Econ Interact Coord
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