Towards Ethical Data Ecosystems: A Literature Study

Rantanen, Minna M.; Hyrynsalmi, Sami; Hyrynsalmi, Sonja M.

doi:10.1109/ice.2019.8792599

Cited by 8 publications

(11 citation statements)

References 35 publications

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“…According to Rantanen et al (2019), the significance of data ecosystems has been increasing based on the capability to enrich, use and reuse big datasets by third parties. Various data ecosystems have been formed by groups such as governments, industries and public-private partnerships.…”

Section: Data Ecosystemsmentioning

confidence: 99%

“…Various data ecosystems have been formed by groups such as governments, industries and public–private partnerships. Rantanen et al (2019) further established that the data ecosystem has immense potential to provide sustainability in business and enhance competitive advantages. Data ecosystems are formed in different ways and contribute to creating value that individual participants could not realize (Ding et al , 2011).…”

Section: Review Of the Literaturementioning

confidence: 99%

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The composition of data economy: a bibliometric approach and TCCM framework of conceptual, intellectual and social structure

Olaleye

Mogaji

Agbo

et al. 2022

IDD

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Purpose 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.

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Section: Data Ecosystemsmentioning

confidence: 99%

Section: Review Of the Literaturementioning

confidence: 99%

The composition of data economy: a bibliometric approach and TCCM framework of conceptual, intellectual and social structure

Olaleye

Mogaji

Agbo

et al. 2022

IDD

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“…Current situation seems to have shaken deeply people’s trust and faith in the data economy, its practices and players (Rantanen, 2019). This mistrust and its consequences – limitation of information sharing and falsification of data – jeopardise data collection and, therefore, the whole basis of data economy (Punj, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…While research about data ecosystems has gained popularity in recent years (Gelhaar et al , 2021; Rantanen et al , 2019), it is still in its early stages with clear gaps to be filled (Oliveira et al , 2019). In some fields, governance is an extensively researched area (Oliveira et al , 2019; Helin, 2019).…”

Section: Introductionmentioning

confidence: 99%

Ethical governance model for the data economy ecosystems

Koskinen

Knaapi-Junnila

Helin

et al. 2023

DPRG

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Purpose Data economy is a recent phenomenon, raised by digital transformation and platformisation, which has enabled the concentration of data that can be used in economic purposes. However, there is a lack of clear procedures and ethical rules on how data economy ecosystems are governed. As a response to the current situation, there has been criticism and demands for the governance of data use to prevent unethical consequences that have already manifested. Thus, ethical governance of the data economy ecosystems is needed. The purpose of this paper is to introduce a new ethical governance model for data economy ecosystems. The proposed model offers a more balanced solution for the current situation where a few global large-scale enterprises dominate the data market and may use oligopolistic power over other stakeholders. Design/methodology/approach This is a conceptual article that covers theory-based discourse ethical reflection of data economy ecosystems governance. The study is based on the premise of the discourse ethics where inclusion of all stakeholders is needed for creating a transparent and ethical data economy. Findings This article offers self-regulation tool for data economy ecosystems by discourse ethical approach which is designed in the governance model. The model aims to balance data “markets” by offering more transparent, democratic and equal system than currently. Originality/value By offering a new ethically justified governance model, we may create a trust structure where rules are visible and all stakeholders are treated fairly.

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“…The development of new methods for data processing and analysis leads to changes in existing businesses as well as to the emergence of new business models [2,3]. Furthermore, in today's networked business world data-driven innovation and creation of economic value is less and less created by a single organization or in traditional value chains [4,5]. Instead, various data sources from different organizations are combined and enriched in cross-industry, socio-technical networksso-called data ecosystems [5,6,7].…”

Section: Introductionmentioning

confidence: 99%

A Taxonomy for Data Ecosystems

Gelhaar¹,

Groß²,

Otto³

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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In the increasingly interconnected business world, economic value is less and less created by one company alone but rather through the combination and enrichment of data by various actors in so-called data ecosystems. The research field around data ecosystems is, however, still in its infancy. With this study, we want to address this issue and contribute to a deeper understanding of data ecosystems. Therefore, we develop a taxonomy for data ecosystems which is grounded both theoretically through the linkage to the scientific knowledge base and empirically through the analyses of data ecosystem use cases. The resulting taxonomy consists of key dimensions and characteristics of data ecosystems and contributes to a better scientific understanding of this concept. Practitioners can use the taxonomy as an instrument to further understand, design and manage the data ecosystems their organizations are involved in.

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Towards Ethical Data Ecosystems: A Literature Study

Cited by 8 publications

References 35 publications

The composition of data economy: a bibliometric approach and TCCM framework of conceptual, intellectual and social structure

The composition of data economy: a bibliometric approach and TCCM framework of conceptual, intellectual and social structure

Ethical governance model for the data economy ecosystems

A Taxonomy for Data Ecosystems

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