A2 Review article, Literature review, Systematic review
The composition of data economy : a bibliometric approach and TCCM framework of conceptual, intellectual and social structure (2023)

Olaleye, S. A., Mogaji, E., Agbo, F. J., Ukpabi, D., & Gyamerah, A. (2023). The composition of data economy : a bibliometric approach and TCCM framework of conceptual, intellectual and social structure. Information Discovery and Delivery, 51(2), 223-240. https://doi.org/10.1108/idd-02-2022-0014

JYU authors or editors

Publication details

All authors or editors: Olaleye, Sunday Adewale; Mogaji, Emmanuel; Agbo, Friday Joseph; Ukpabi, Dandison; Gyamerah, Akwasi

Journal or series: Information Discovery and Delivery

ISSN: 2398-6247

eISSN: 2398-6247

Publication year: 2023

Publication date: 31/10/2022

Volume: 51

Issue number: 2

Pages range: 223–240

Publisher: Emerald

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1108/idd-02-2022-0014

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/83913


The data economy mainly relies on the surveillance capitalism business model, enabling companies to monetize their data. The surveillance allows for transforming private human experiences into behavioral data that can be harnessed in the marketing sphere. This study aims to focus on investigating the domain of data economy with the methodological lens of quantitative bibliometric analysis of published literature.

The bibliometric analysis seeks to unravel trends and timelines for the emergence of the data economy, its conceptualization, scientific progression and thematic synergy that could predict the future of the field. A total of 591 data between 2008 and June 2021 were used in the analysis with the Biblioshiny app on the web interfaced and VOSviewer version 1.6.16 to analyze data from Web of Science and Scopus.

This study combined findable, accessible, interoperable and reusable (FAIR) data and data economy and contributed to the literature on big data, information discovery and delivery by shedding light on the conceptual, intellectual and social structure of data economy and demonstrating data relevance as a key strategic asset for companies and academia now and in the future.

Research limitations/implications
Findings from this study provide a steppingstone for researchers who may engage in further empirical and longitudinal studies by employing, for example, a quantitative and systematic review approach. In addition, future research could expand the scope of this study beyond FAIR data and data economy to examine aspects such as theories and show a plausible explanation of several phenomena in the emerging field.

Practical implications
The researchers can use the results of this study as a steppingstone for further empirical and longitudinal studies.

This study confirmed the relevance of data to society and revealed some gaps to be undertaken for the future.

Keywords: data economy; big data; open data; commercialisation (activity); digital marketing; protection of privacy; enterprises; concept analysis; bibliometrics

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 1

Last updated on 2023-30-08 at 09:22