Value creation and appropriation from the use of machine learning: a study of start-ups using fuzzy-set qualitative comparative analysis

IF 6.2 3区 管理学 Q1 BUSINESS
Ricardo Costa-Climent, Samuel Ribeiro Navarrete, Darek M. Haftor, Marcin W. Staniewski
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Abstract

This study focuses on how start-ups use machine learning technology to create and appropriate value. A firm’s use of machine learning can activate data network effects. These data network effects can then create perceived value for users. This study examines the interaction between the activation of data network effects by start-ups and the value that they are able to create and appropriate based on their business model. A neo-configurational approach built on fuzzy-set qualitative comparative analysis (fsQCA) explores how the design of a firm’s business model interacts with various aspects to explain value creation and appropriation using machine learning. The study uses a sample of 122 European start-ups created between 2019 and 2022. It explores the system of interactions between business model value drivers and value creation factors under the theory of data network effects. The findings show that start-ups primarily activate the efficiency and novelty elements of value creation and value capture.

Abstract Image

机器学习的价值创造和挪用:利用模糊集定性比较分析对初创企业的研究
本研究的重点是初创企业如何利用机器学习技术创造和适当的价值。企业使用机器学习可以激活数据网络效应。然后,这些数据网络效应可以为用户创造感知价值。本研究考察了初创企业数据网络效应的激活与他们基于其商业模式能够创造和适当的价值之间的相互作用。一种建立在模糊集定性比较分析(fsQCA)基础上的新配置方法探讨了公司商业模式的设计如何与各个方面相互作用,从而利用机器学习来解释价值创造和挪用。该研究使用了2019年至2022年期间成立的122家欧洲初创企业的样本。在数据网络效应理论下,探索商业模式价值驱动因素与价值创造因素之间的交互系统。研究结果表明,初创企业主要激活价值创造和价值获取的效率和新颖性要素。
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来源期刊
CiteScore
12.50
自引率
3.60%
发文量
29
期刊介绍: The International Entrepreneurship and Management Journal (IEMJ) publishes high quality manuscripts dealing with entrepreneurship, broadly defined, and the management of entrepreneurial organizations. The journal will expand the study of entrepreneurship and management by publishing innovative articles based on different perspectives using a variety of methodological approaches and showing the practical implications of the research for its readership. IEMJ is unique; providing a multi-disciplinary forum for researchers, scholars, consultants, entrepreneurs, businessmen, managers and practitioners in the field of entrepreneurship. The journal covers the relationship between management and entrepreneurship including both conceptual and empirical papers, leading to an improvement in the understanding of international entrepreneurial perspectives of the organisations concerned. Entrepreneurial studies are important in creating new economic activity that in turn increases innovation, employment, economic wealth and growth. The journal focuses on the diverse and complex characteristics of entrepreneurship in SMEs and large companies in local, regional, national or international markets that lead to competitiveness in the face of the effects of globalization. Though preference will be given to manuscripts that are international in scope, papers focused on domestic contexts and issues are welcome also, in order to facilitate the sharing of knowledge and potential generalizability of findings worldwide. IEMJ will publish original papers which contribute to the advancement of the field of entrepreneurship and the interface between management and entrepreneurship, as well as articles on business corporate strategy and government economic policy. On occasions, the journal will also feature case studies of successful firms or other cases having important practical implications. The journal places great emphasis on the quality of the papers it publishes. Submission of a paper will imply that it contains original unpublished work and is not being submitted for publication elsewhere. Officially cited as: Int Entrep Manag J
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