Academic Entrepreneurial Intention and Its Determinants: Exploring the Moderating Role of Innovation Ecosystem

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Massimiliano Vesci, A. Botti, Rosangela Feola, Chiara Crudele
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引用次数: 0

Abstract

The paper aims to study factors that affect entrepreneurial intention among academicians (Prodan & Drnovsek 2010). We develop a framework in which the classical intention determinants derived from the Theory of Planned Behavior (TPB, Ajzen, 1991) interact with some elements of the environmental innovation ecosystem as identified in the Triple Helix Model (THM, Etzkovitz et al., 2007), namely financial/industrial, university and government supports. We contend that when individuals perceive high support from all these factors, the predictive power of entrepreneurial attitude, perceived behavioral control and social norms in shaping academic entrepreneurial intention generally increases. This study theoretically advances research on academic entrepreneurial intention, highlighting the interplay between individual cognitions and environmental cues and proposes some insights for practice and national policy makers.
学术创业意愿及其决定因素:创新生态系统的调节作用
本文旨在研究影响院士创业意愿的因素(Prodan & Drnovsek 2010)。我们开发了一个框架,其中源自计划行为理论(TPB, Ajzen, 1991)的经典意图决定因素与三螺旋模型(THM, Etzkovitz et al., 2007)中确定的环境创新生态系统的一些要素(即金融/工业,大学和政府支持)相互作用。我们认为,当个体感知到所有这些因素的高度支持时,创业态度、感知行为控制和社会规范在塑造学术创业意愿方面的预测能力普遍增强。本研究从理论上推进了学术创业意向的研究,突出了个体认知与环境因素之间的相互作用,并为实践和国家决策者提供了一些启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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