The Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning

How to achieve business model innovation (BMI) has always been a focus topic in the field of entrepreneurship. Based on cognitive theory, this study takes new ventures as the research object to build a theoretical model to explore the impact of entrepreneurial cognition on BMI choice, its intermedia...

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Autores principales:	Jian Zhou, Jian Yang, Hehe Sun, Yang Liu, Xiao Liu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	entrepreneurial cognition strategic sensitivity knowledge diversity business model innovation new ventures machine learning Psychology BF1-990
Acceso en línea:	https://doaj.org/article/134724e0b18c4163b2b3d8367392e288
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spelling	oai:doaj.org-article:134724e0b18c4163b2b3d8367392e2882021-11-11T04:49:37ZThe Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning1664-107810.3389/fpsyg.2021.744237https://doaj.org/article/134724e0b18c4163b2b3d8367392e2882021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyg.2021.744237/fullhttps://doaj.org/toc/1664-1078How to achieve business model innovation (BMI) has always been a focus topic in the field of entrepreneurship. Based on cognitive theory, this study takes new ventures as the research object to build a theoretical model to explore the impact of entrepreneurial cognition on BMI choice, its intermediary mechanism, and boundary conditions. We test our framework with a sample of 242 questionnaires; the empirical research results show that entrepreneurial configuration cognition, willing cognition, and ability cognition indirectly affect the BMI of new ventures. Strategic sensitivity (SSE) mediated the relationship between entrepreneurial cognition and BMI; knowledge diversity positively moderates the relationship between SSE and BMI. Machine learning algorithm research has found three prediction models for BMI of new ventures. By constructing a theoretical analysis framework of BMI from the perspective of cognition, the results deepen the relevant research on BMI of new ventures, clarify the source of unique characteristics and capabilities of entrepreneurs, provide a new research perspective for analyzing the impact mechanism of entrepreneurial cognition on BMI, enrich the research results in the field of “situation-cognition behavior,” and further clarify the important role of knowledge in the development of new ventures.Jian ZhouJian YangHehe SunYang LiuXiao LiuFrontiers Media S.A.articleentrepreneurial cognitionstrategic sensitivityknowledge diversitybusiness model innovationnew venturesmachine learningPsychologyBF1-990ENFrontiers in Psychology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	entrepreneurial cognition strategic sensitivity knowledge diversity business model innovation new ventures machine learning Psychology BF1-990
spellingShingle	entrepreneurial cognition strategic sensitivity knowledge diversity business model innovation new ventures machine learning Psychology BF1-990 Jian Zhou Jian Yang Hehe Sun Yang Liu Xiao Liu The Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning
description	How to achieve business model innovation (BMI) has always been a focus topic in the field of entrepreneurship. Based on cognitive theory, this study takes new ventures as the research object to build a theoretical model to explore the impact of entrepreneurial cognition on BMI choice, its intermediary mechanism, and boundary conditions. We test our framework with a sample of 242 questionnaires; the empirical research results show that entrepreneurial configuration cognition, willing cognition, and ability cognition indirectly affect the BMI of new ventures. Strategic sensitivity (SSE) mediated the relationship between entrepreneurial cognition and BMI; knowledge diversity positively moderates the relationship between SSE and BMI. Machine learning algorithm research has found three prediction models for BMI of new ventures. By constructing a theoretical analysis framework of BMI from the perspective of cognition, the results deepen the relevant research on BMI of new ventures, clarify the source of unique characteristics and capabilities of entrepreneurs, provide a new research perspective for analyzing the impact mechanism of entrepreneurial cognition on BMI, enrich the research results in the field of “situation-cognition behavior,” and further clarify the important role of knowledge in the development of new ventures.
format	article
author	Jian Zhou Jian Yang Hehe Sun Yang Liu Xiao Liu
author_facet	Jian Zhou Jian Yang Hehe Sun Yang Liu Xiao Liu
author_sort	Jian Zhou
title	The Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning
title_short	The Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning
title_full	The Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning
title_fullStr	The Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning
title_full_unstemmed	The Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning
title_sort	influence of entrepreneurial cognition on business model innovation: a hybrid method based on multiple regressions and machine learning
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/134724e0b18c4163b2b3d8367392e288
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The Influence of Entrepreneurial Cognition on Business Model Innovation: A Hybrid Method Based on Multiple Regressions and Machine Learning

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