Welcome to the InfoSci Platform
The Role of Machine Learning in Creating and Capturing Value

The Role of Machine Learning in Creating and Capturing Value

Ricardo Costa-Climent
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 19
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781683181019|DOI: 10.4018/IJSSCI.312229
Cite Article Cite Article

MLA

Costa-Climent, Ricardo. "The Role of Machine Learning in Creating and Capturing Value." IJSSCI vol.14, no.1 2022: pp.1-19. http://doi.org/10.4018/IJSSCI.312229

APA

Costa-Climent, R. (2022). The Role of Machine Learning in Creating and Capturing Value. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-19. http://doi.org/10.4018/IJSSCI.312229

Chicago

Costa-Climent, Ricardo. "The Role of Machine Learning in Creating and Capturing Value," International Journal of Software Science and Computational Intelligence (IJSSCI) 14, no.1: 1-19. http://doi.org/10.4018/IJSSCI.312229

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.