Data monetization capability: from the systematic literature review to the proposition of a multidimensional model

Autori

DOI:

https://doi.org/10.5902/1983465986416

Parole chiave:

Data monetization, Data value, Information systems, Systematic literature review, Business performance

Abstract

Purpose: This study explores the underexplored field of data monetization and value creation within Information Systems (IS). Despite the growing interest in leveraging data for financial and operational gains, a literature gap exists in systematically examining the interplay between data-related terms such as monetization, value, capabilities, insights, and performance.
Design/Methodology/Approach: Conducted as a Systematic Literature Review (SLR), the study analyzed 148 articles from the Scopus database using PRISMA guidelines and the Bibliometrix package. Synthesizing existing knowledge sheds light on trends in major IS journals and challenges faced by organizations in extracting value from their data.
Findings: The study reveals influential trends in IS literature on data monetization and uncovers challenges faced by organizations in this domain. Proposing a multidimensional theoretical model, the research integrates information management and data monetization capabilities, contributing to advancing scientific knowledge in IS research.
Practical Implications: The study offers actionable strategies for organizations to monetize data effectively, enhance business agility, and improve performance, guiding them toward becoming data-driven.
Originality/Value: Contributing to the Theory of Administration within IS research, this study conducts a comprehensive analysis of data monetization, synthesizes literature trends, and proposes an innovative theoretical model integrating information management and data monetization capabilities.

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Biografie autore

Cláudia Rodrigues Maia, Universidade Federal do Rio Grande do Sul

Ph.D. student in Business Administration at the Universidade Federal do Rio Grande do Sul – UFRGS, Brazil. Master in Business Administration at the Postgraduate Program in Business Administration – FURG, Brazil. Her research interests include Information Technology, Green IT, Social Commerce, Mobile Commerce, Online Tourism, Trust, Consumer Behavior; Social Data, Data monetization.

Antônio Carlos Gastaud Maçada , Universidade Federal do Rio Grande do Sul

Full Professor of Management Information Systems at the Universidade Federal do Rio Grande do Sul (UFRGS), School of Management, Brazil where he received his Ph.D. in Management Information Systems. His research interests include IT investments, IT value, IT adoption and post-adoption, information quality, IT and information/data governance, data monetization, digital capabilities and IS behavior. He has published articles in peer-reviewed journals including the Computer in Human Behavior, Impact Assessment Review, Behaviour & Information Technology, Supply Chain Management: an international journal, and International Journal of Accounting Information Systems.

Guilherme Lerch Lunardi, Universidade Federal do Rio Grande

Ph.D. in Business Administration at the Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. Postdoctoral degree at the Ecole des Hautes Etudes Commerciales in Montreal/Canada (HEC-Montreal). He is an Associate Professor at the Institute of Economic, Administrative, and Accounting Sciences, Universidade Federal do Rio Grande (FURG). His research interests include the Impact of Information Technology (IT), IT governance, Green IT, e-commerce, and Healthcare Information Technologies.

Aline Rossales Sengik , Universidade Federal do Rio Grande do Sul

PhD student in Administration at the Universidade Federal do Rio Grande do Sul (UFRGS). Master in Administration at the Universidade Federal do Rio Grande (FURG). She is an administrative technician at the Instituto Federal Sul-Rio-Grandense (IFSul), in the position of Information Technology Analyst. Her research interests include IT governance, Healthcare Information Technologies and Analytics governance.

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Pubblicato

2024-06-20

Come citare

Maia, C. R., Maçada , A. C. G., Lunardi, G. L., & Sengik , A. R. (2024). Data monetization capability: from the systematic literature review to the proposition of a multidimensional model. Revista De Administração Da UFSM, 17(2), e6. https://doi.org/10.5902/1983465986416

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V. 17 N. 2 (2024): Apr-Jun

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