大学衍生的数字企业成果产出的影响因素分析——基于组态效应

摘要/Abstract

摘要： 针对高校创业成果产出驱动力不足和资源获取渠道不畅等问题，本文基于中国31个省份的大学衍生的数字企业为样本，采用模糊集定性比较法（fsQCA）探索了创业团队、高校、政府等组织以及高校数字创业环境等对数字企业成果产出的影响的组态效应。研究表明：创业团队的数字感知能力、数字资源重构能力，高校的学术环境、学术水平，政府在政策支持、财政支持、科技服务，以及数字创业环境等，对数字企业成果的高产出表现为组态效应；驱动数字企业成果高产出的组态可分为“全影响因素-环境”驱动型、“高校-环境”驱动型、“创业团队-政府”驱动型和“高校-政府-环境”驱动型四种类型。研究结论能为各省份推进高校数字创业决策提供参考。

关键词: 数字企业, 成果产出, 影响因素, 组态效应

Abstract: Aiming at the problems of insufficient driving force and poor access to resources for university entrepreneurship, based on the samples of 31 provinces and cities in China, this paper adopts fuzzy set qualitative comparison method (fsQCA) to explore the configuration effects of entrepreneurial teams, universities, governments and other organizations, as well as the digital entrepreneurship environment in universities, on the output of digital enterprises. The results show that the entrepreneurial team’s digital perception ability, digital resource reconstruction ability, academic environment of universities, academic level of universities, government’s policy support, financial support, scientific and technological services, and digital entrepreneurial environment have a configuration effect on the high yield of digital enterprise results. The configuration that drives the high output of digital enterprise results can be divided into four types: “all-influencing factor-environment” driven, “university-environment” driven, “entrepreneurial team-government” driven and “university-government-environment” driven. The conclusion of this study can provide reference for all provinces and cities to promote the decision-making of digital entrepreneurship in universities.

Key words: digital enterprise, outcome output, influencing factors, configuration effect

韦晓荣, 王林雪, 刘昱昕, 王超发. 大学衍生的数字企业成果产出的影响因素分析——基于组态效应[J]. 管理评论, 2025, 37(4): 113-127.

Wei Xiaorong, Wang Linxue, Liu Yuxin, Wang Chaofa. Analysis of Influencing Factors of University-derived Digital Enterprises' Output: Based on Configuration Effect[J]. Management Review, 2025, 37(4): 113-127.

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