ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2024, Vol. 32 ›› Issue (4): 568-578.doi: 10.3724/SP.J.1042.2024.00568

• 研究构想 • 上一篇    下一篇

损失情境下创业者资源保存启发式与资源演化机理

李艳妮1(), 王舒丹1, 刘羿2   

  1. 1河北工业大学经济管理学院 天津 300401
    2天津农学院经济管理学院 天津 300392
  • 收稿日期:2023-10-12 出版日期:2024-04-15 发布日期:2024-02-29
  • 通讯作者: 李艳妮 E-mail:yanni_li1992@126.com
  • 基金资助:
    国家自然科学基金青年项目:“损失情境下资源保存启发式与新创企业资源演化机理”(72202055)

Entrepreneur’s resource-induced coping heuristic and resource evolution in the context of loss

LI Yanni1(), WANG Shudan1, LIU Yi2   

  1. 1School of Economics and Management, Hebei University of Technology, Tianjin 300401, China
    2School of Economics and Management, Tianjin Agriculture University, Tianjin 300392, China
  • Received:2023-10-12 Online:2024-04-15 Published:2024-02-29
  • Contact: LI Yanni E-mail:yanni_li1992@126.com

摘要:

近年来, 如何塑造资源演化路径以实现新创企业稳步发展成为实践界与理论界共同关注的焦点问题。现有研究多强调组织和环境的作用而缺乏对于资源演化有重要价值的创业者认知的考虑; 多聚焦于资源约束情境却忽视了企业承担的巨大资源损失压力。本研究以资源演化及创业者认知既有研究为基础, 对损失情境下新创企业资源演化的核心要素、演化路径、效果评价等议题展开深入探索。具体而言, 归纳损失情境下资源演化行为的内涵和维度; 识别创业者资源保存启发式驱动损失情境下资源演化的主要路径; 挖掘不同类型机会开发下的资源演化过程, 明确机会开发在资源演化过程中的角色、地位和作用; 考察资源演化效果的环境及认知整合模型。研究结果对应对损失困境、提高企业资源演化的能力等问题具有重要的现实意义。

关键词: 资源损失, 资源拼凑, 资源优化, 资源保存启发式, 损失后绩效

Abstract:

The entrepreneurial journey, characterized by uncertainty and risk, poses challenges to startups, impacting the outcomes of invested resources and potentially resulting in losses. Successful entrepreneurial initiatives emphasize the significance of studying resource restructuring in the face of losses for the development of new ventures. However, diverse growth trajectories are observed among startups following resource restructuring. A critical analysis of existing research reveals that resource evolution, characterized by bricolage and optimization, is pivotal in understanding the challenges associated with resource restructuring. Therefore, elucidating the influencing factors and mechanisms of resource evolution holds vital importance for startups coping with resource losses.

Despite the growing emphasis on the role of resource evolution in academia, there is a scarcity of research specifically addressing loss scenarios in the entrepreneurial domain. Furthermore, discussions on the essential preconditions, triggering mechanisms, primary pathways, and effectual mechanisms of resource evolution are notably lacking. Regarding the antecedent factors influencing resource evolution, existing research predominantly focuses on organizational and environmental factors, neglecting the cognitive processes behind entrepreneurs' adoption of resource evolution behaviors. This study explores the relationship between entrepreneurs' resource loss-induced evolution behaviors and their underlying cognitive processes. The introduction of resource-induced coping heuristics as a cognitive characteristic of entrepreneurs examines the different resource evolution behaviors exhibited during the process of opportunity development, constructing a comprehensive theoretical model of the resource evolution process. This not only deepens the understanding of the role played by resource-induced coping heuristics as an explanatory mechanism for resource evolution paths but also broadens the impact boundaries and applicability of the resource evolution process from a cognitive perspective.

For the effect mechanism of resource evolution, under similar cognitive logics, different boundary conditions can influence the outcomes of resource evolution behaviors for new startups. The exploration of boundary conditions for resource evolution effects is still in its early stages, primarily focusing on the moderating role of the environment. However, there is a lack of further deconstruction of environmental dimensions in related research. This study investigates the moderating effects of external environmental dynamism and abundance on the relationship between resource evolution behaviors and post-loss performance through a combined approach of questionnaire surveys and secondary data coding. Furthermore, as entrepreneurial behaviors are argued to be determined by the interpretations of the entrepreneurial team about the environment, the study suggests that the shared cognition at different levels within the entrepreneurial team plays a moderating role in the relationship between bricolage and post-loss performance. Hence, this research posits that team members' cognitive processing of knowledge and information also influences the effects of resource evolution behaviors. The introduction of the team transactive memory system, a shared cognition achieved through encoding, storing, and retrieving information and knowledge across different domains, examines its role in the relationship between resource evolution and post-loss performance. The study evaluates the impact of the team transactive memory system based on its expertise, reliability, and coordination dimensions, employing a combined approach of questionnaire surveys and secondary data coding to explore its role in the relationship between resource evolution and post-loss performance.

In conclusion, this study systematically reveals the law of resource evolution of new ventures under the situation of loss, and constructs a theoretical model under the guidance of the logical line of "cognition-behavior-result". The research mainly focuses on two issues: "How to carry out resource evolution under loss situation" and "How to play a role in resource evolution under loss situation". The specific contents are as follows: Study one identifies the main path of resource evolution under loss situation driven by entrepreneur resource-induced coping heuristics, excavates the resource evolution process under different types of opportunity development, and clarifies the role of opportunity development in the process of resource evolution; Study two investigates the boundary conditions that affect the effect of resource evolution, and analyzes how to optimize the effect of resource evolution from the internal and external environment.

Key words: resource loss, bricolage, optimization, resource-induced coping heuristic, post-loss performance

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