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
Abstract
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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
