Abstract

Entrepreneurship and open data are key elements in the sustainable development field, improving economic, social, and environmental dimensions. However, entrepreneurship and open data are barely studied together in the literature from a theoretical perspective. Therefore, this study identifies the main themes in the previous studies and proposes a conceptual model for analyzing entrepreneurship through open data. For this purpose, a descriptive analysis and a co-word analysis were performed. Results show that the subject is multidisciplinary, and the main theme of study is how different agents reuse information released by public administrations to generate new entrepreneurial initiatives, especially novel business models associated with new mobile applications. Open data sources, innovation, and business models are studied as critical factors for analyzing entrepreneurship through open data. Likewise, a conceptual model is presented and emerging themes for future research are proposed. Among them, the importance of encouraging collaboration between different agents in the open data ecosystem for service development and improvement is emphasized. Our study identifies an emerging theme that is still in an early phase: The study of sustainable entrepreneurship through open data as a value creation initiative to address global sustainable development.

Highlights

  • We live in a digital era to which governments, citizens, and companies are adapting at different speeds

  • This study identifies the main knowledge areas in which research into entrepreneurship through open data has been carried out

  • A co-word analysis was performed to identify relevant themes/topics and the relationships between them, as well as the key elements to engage in entrepreneurship through open data

Read more

Summary

Introduction

We live in a digital era to which governments, citizens, and companies are adapting at different speeds. Baier-Fuentes, Merigó, Amorós and Gaviria-Marín, 2019 [68]; Ferreira, Fernandes and Ratten, 2017 [69]; Perényi and Losoncz, 2018 [70]. Fernandes, Peris-Ortiz and Ratten, 2017 [71]; Foss, Henry, Ahl and Mikalsen, 2019 [72]; Santos, Marques and Ferreira, 2018 [73]. Co-word analysis can uncover the main concepts explored by a field and the interactions between different fields of scientific research [91] Based on these results, the third question is answered by identifying the main factors of entrepreneurship through open data and a conceptual model to guide research is proposed. After answering these research questions, we will be better able to (a) know the main themes analyzed in the literature and their relationships (conceptual structure); (b) propose a conceptual framework for analyzing entrepreneurship through open data; and (c) orient new research about entrepreneurship through open data.

Methodology
20 April 2019
Knowledge Areas by Author
Findings
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.