The Role of Machine Learning in Creating and Capturing Value

Ricardo Costa-Climent
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Abstract

The use of machine learning technologies by the world's most profitable companies to personalise their offerings is commonplace. However, not all companies using machine learning technologies succeed in creating and capturing value. Academic research has studied value creation through the use of information technologies, but this field of research tends to consider information technology as a homogeneous phenomenon, not considering the unique characteristics of machine learning technologies. This literature review aims to study the extent to which value creation and value capture through machine learning technologies are being investigated in the field of information systems. Evidence is found of a paucity of publications focusing on value creation through the use of ML in the enterprise, and none on value capture. This study's contribution is to provide a better understanding of the use of machine learning technologies in information systems as a social and business practice.
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机器学习在创造和获取价值中的作用
世界上最赚钱的公司使用机器学习技术来个性化他们的产品是司空见惯的。然而,并非所有使用机器学习技术的公司都能成功创造和获取价值。学术研究已经研究了通过使用信息技术创造价值,但这一研究领域倾向于将信息技术视为一种同质现象,而没有考虑机器学习技术的独特性。本文献综述旨在研究通过机器学习技术在信息系统领域的价值创造和价值获取的研究程度。有证据表明,关注通过在企业中使用机器学习创造价值的出版物很少,而没有关于价值获取的出版物。本研究的贡献是提供了一个更好的理解机器学习技术在信息系统中的使用作为一种社会和商业实践。
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