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This work was supported by Project RTI2018-097447-B-I00 of Spanish Ministry of Science, Innovation and Universities.

Analysis of institutional authors

Corrales-Garay, DCorresponding AuthorOrtiz-De-Urbina-Criado, MAuthorMora-Valentin, EmAuthor

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September 27, 2022
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Understanding open data business models from innovation and knowledge management perspectives

Publicated to:Business Process Management Journal. 28 (2): 532-554 - 2022-03-31 28(2), DOI: 10.1108/BPMJ-06-2021-0373

Authors: Corrales-Garay, Diego; Ortiz-de-Urbina-Criado, Marta; Mora-Valentin, Eva-Maria

Affiliations

Univ Rey Juan Carlos, Madrid, Spain - Author

Abstract

Purpose This paper aims to analyse the open data business models (ODBMs) as a source of knowledge and innovation to generate economic and social value. A framework for understanding ODBMs is presented. First, the knowledge structure of the ODBMs literature is identified. Second, a conceptual model for analysing the ODBMs is proposed. And finally, the future trends in ODBMs research are discussed. Design/methodology/approach In this paper, co-word analysis is performed to identify the topics related with ODBMs. Findings The ODBMs structure of knowledge is articulated in five themes: business model, smart city, business ecosystem, decision-making and innovation. Based on these results, a five-step model for analysing ODBMs is proposed. Finally, a discussion of the future trends of ODBMs focussed on a knowledge management perspective, open data ecosystems and business intelligence is presented. Originality/value The paper presents a picture of what, where, for whom and for what ODBMs have been studied and develops a new model to explain the value creation process of ODBMs. Taking a step further, applying the principles and models of knowledge management and business intelligence to ODBMs is also recommended in order to transfer and transform open data into valuable knowledge that can be used for developing apps. In that context, the importance of encouraging collaboration between different agents in the so-called open data ecosystem is presented.

Keywords

Business intelligenceChallengesCo-word analysisEntrepreneurshipImpactInnovationKnowledge managementNetworkOpen data business models (odbms)Open data ecosystem

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Business Process Management Journal due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Business, Management and Accounting (Miscellaneous).

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.29. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.21 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 10.35 (source consulted: Dimensions Aug 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-08-03, the following number of citations:

  • WoS: 14
  • Scopus: 15

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-08-03:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 106 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Corrales Garay, Diego) and Last Author (Mora Valentín, Eva María).

the author responsible for correspondence tasks has been Corrales Garay, Diego.