Research Topic

Big Data and Entrepreneurship

About this Research Topic

We live in an era where a complex, pliable, and ever-expanding portfolio of technologies, information and media is altering how individuals interact and communicate and how organizations plan their strategies and create values. The social processes and environments underlying the behaviors of individuals and organizations have increased in complexity, leading social actors to behave in ways that are different from the past. The volume of available data has grown exponentially and more sophisticated algorithms have been developed. In the constantly renewing process of adapting to such rapid changes, innovations as well as entirely new concepts were often born. In the business world, one such phenomenon was the creation of a new type of entrepreneurship.

The purpose of big data and entrepreneurship research is to leverage advances in computational methods, such as social network analysis, big data analysis, and artificial intelligence, to better understand, predict, and improve the performance and decision-making of individual entrepreneurs or start-ups in this era of high connectivity, big data, and increased information flow. In addition, it should also bring researchers from different disciplines together to address these complex and interdisciplinary research questions surrounding entrepreneurship. The advances in big data and entrepreneurship research are expected to be able to bridge the gap between science and industry, uncover pathways to success for entrepreneurs, and provide guidelines for government policies.

We encourage the submission of manuscripts related to one or more of the following topics:

- Social networks and the success of entrepreneurs
- Gender inequality in entrepreneurs
- Organizational behaviors of successful start-ups
- Science, innovation, and entrepreneurship
- Impact of AI on the entrepreneurship


Keywords: Big Data, entrepreneurship, innovation, computational social science, human behaviors


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

We live in an era where a complex, pliable, and ever-expanding portfolio of technologies, information and media is altering how individuals interact and communicate and how organizations plan their strategies and create values. The social processes and environments underlying the behaviors of individuals and organizations have increased in complexity, leading social actors to behave in ways that are different from the past. The volume of available data has grown exponentially and more sophisticated algorithms have been developed. In the constantly renewing process of adapting to such rapid changes, innovations as well as entirely new concepts were often born. In the business world, one such phenomenon was the creation of a new type of entrepreneurship.

The purpose of big data and entrepreneurship research is to leverage advances in computational methods, such as social network analysis, big data analysis, and artificial intelligence, to better understand, predict, and improve the performance and decision-making of individual entrepreneurs or start-ups in this era of high connectivity, big data, and increased information flow. In addition, it should also bring researchers from different disciplines together to address these complex and interdisciplinary research questions surrounding entrepreneurship. The advances in big data and entrepreneurship research are expected to be able to bridge the gap between science and industry, uncover pathways to success for entrepreneurs, and provide guidelines for government policies.

We encourage the submission of manuscripts related to one or more of the following topics:

- Social networks and the success of entrepreneurs
- Gender inequality in entrepreneurs
- Organizational behaviors of successful start-ups
- Science, innovation, and entrepreneurship
- Impact of AI on the entrepreneurship


Keywords: Big Data, entrepreneurship, innovation, computational social science, human behaviors


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

10 October 2020 Abstract
07 February 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

10 October 2020 Abstract
07 February 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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