个体与组织匹配视角下的商业模式创新路径分析——基于计划行为理论的解释框架

摘要/Abstract

摘要： 个体和组织因素都会对商业模式创新产生影响,然而现有研究多是从单因素视角展开,未阐明二者之间的匹配关系是如何影响商业模式创新的。因此,本文以个体与组织匹配为研究视角,基于计划行为理论,运用结构方程模型和定性比较分析的方法,在217份有效问卷的基础上,探讨了个体因素中的立法型思维风格、资源拼凑和双环学习与组织因素中的创新文化对商业模式创新的直接作用和匹配作用,并阐明作用机理。研究结果表明:(1)立法型思维风格、资源拼凑和双环学习对商业模式创新的直接影响达到了显著性水平,而创新文化对商业模式创新的直接影响未达到显著性水平;(2)匹配作用形成了自发生成型和理性创设型两种组态;(3)双环学习和创新文化是核心要素并同时存在于两种组态中,资源拼凑和立法型思维风格是边缘要素并存在一定的替代关系。研究结果为促进商业模式创新提供了借鉴。

关键词: 商业模式创新, 计划行为理论, 个体与组织匹配, 定性比较分析

Abstract: Both individual and organizational factors will affect business model innovation. However, the existing researches fail to clarify how the matching relationship between them affects business model innovation. Therefore, based on the theory of planned behavior and 217 effective questionnaires, this paper explores the direct effect and matching effect of legislative thinking style, resource bricolage, double-loop learning in individual factors, and innovation culture in organizational factors on business model innovation, and expounds the mechanism. The findings are as follows. (1) The direct impact of resource bricolage, double-loop learning and legislative thinking style on business model innovation has reached a significant level, while that of innovation culture is not significant; (2) The matching function forms two configurations: self forming and rational creation; and (3) The double-loop learning and innovation culture, as core elements, exist in both configurations, and resource bricolage and legislative thinking style, as marginal elements, have some substitution relations. The results can be used as a reference for promoting business model innovation.

Key words: business model innovation, the theory of planned behavior, individual and organization matching, qualitative comparative analysis

王炳成, 傅晓晖, 于灏. 个体与组织匹配视角下的商业模式创新路径分析——基于计划行为理论的解释框架[J]. 管理评论, 2024, 36(3): 86-95.

Wang Bingcheng, Fu Xiaohui, Yu Hao. Analysis of Business Model Innovation Path from the Perspective of Individual and Organization Matching: An Explanatory Framework Based on the Theory of Planned Behavior[J]. Management Review, 2024, 36(3): 86-95.

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