Towards a Common Definition of Open Data Intermediaries

Shaharudin, Ashraf; Loenen, B. van; Janssen, Marijn

doi:10.1145/3585537

Cited by 6 publications

(1 citation statement)

References 47 publications

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“…One particular concern specified by most informants is data quality issues (Raca et al, 2022;Šlibar et al, 2021). On a positive note, scholars remain optimistic about open data prospects despite the challenges reported in the literature (Ham et al, 2019;Shaharudin, 2020). This finding shows that start-up entrepreneurs have high expectations of open data potential.…”

Section: Mixed Perceptionmentioning

confidence: 96%

Exploring Open Data Affordances for Entrepreneurial Opportunity Recognition

Mohamad

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<p><strong>Start-up entrepreneurs have an interest in open data in practice. However, open data for start-up entrepreneurship is a concept that has not been thoroughly investigated. Also, there is a lack of understanding of how start-up entrepreneurs utilise open data for entrepreneurial opportunity recognition. Hence, the research explores open data affordances for entrepreneurial opportunity recognition amongst start-up entrepreneurs in Malaysia. The research developed three theoretically based research questions from affordance theory. The first research question revolves around the perceived affordances of open data to find business opportunities. The second research question is about open data actualisation for entrepreneurial opportunity recognition. The third research question investigates facilitating conditions which enable entrepreneurs to actualise open data for entrepreneurial opportunity recognition. This qualitative research employed online semi-structured interviews supported with documentary evidence as the primary data source. Thirty online semi-structured interviews were conducted with twenty-four start-up entrepreneurs who were CEOs, founders, and co-founders. Six interviews were conducted to triangulate the data: three representatives from open data providers, a former president of a start-up association, and two representatives from start-up accelerator programmes. The findings indicate that start-up entrepreneurs have positive, negative, and mixed perceptions regarding open data affordances. Start-up entrepreneurs actualise open data for product building, creating values with existing products, and using open data for research and strategy. The findings highlight facilitating conditions required for opportunity recognition to emerge from open data. These facilitating conditions are in five areas: data quality, start-up readiness, the interdependence of stakeholders, open data enablers, and broader contexts. Several notable unexpected findings include discovering sandbox and quadruple helix programmes as emerging open data enablers. The study also contributes to the empirical evidence on a possible open data misconception among start-up entrepreneurs. This study developed a novel theoretical framework for the research topic. This research is significant to practitioners to improve open data initiatives. Researchers can apply or extend the theoretical framework in this research as a foundation for future studies.</strong></p>

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Section: Mixed Perceptionmentioning

confidence: 96%

Exploring Open Data Affordances for Entrepreneurial Opportunity Recognition

Mohamad

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Stuck in the middle with you: Conceptualizing data intermediaries and data intermediation services

Schweihoff,

Lipovetskaja,

Jussen-Lengersdorf

et al. 2024

Electron Markets

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Data intermediation services are a novel class of services mitigating various aspects of inter-organizational data sharing. Facilitating data intermediation services is a pivotal activity that leverages the benefits of the data economy. These services are usually provided by so-called data intermediaries, who organize data sharing between one or multiple data provider(s) and data consumer(s). Against the background of prominent legislation, these data intermediaries (e.g., data marketplaces or data trusts) receive increasing attention in research, practice, and politics. For instance, the Data Governance Act regulates data intermediation services, prompting organizations sharing data to comply with various regulations, including registration with government bodies or acquiring a trusted label. However, to date, little research has been done about the nature of data intermediation services, motivating us to tackle this issue in a two-fold strategy. First, we derive a visualization of a data intermediary and concept subsuming its potential functions. Second, we explore archetypical configurations of co-existing services of data intermediaries. With this, we contribute to understanding the data intermediaries as a concept and enrich this understanding with more detailed service configurations.

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