Digital Entrepreneurial Opportunities in a 4.0 World: A Roadmap for Data-Driven Entrepreneurs

Tal Berman (), Daniel Schallmo () and Christopher A. Williams
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Tal Berman: Johannesburg Business School
Daniel Schallmo: Neu-Ulm University of Applied Sciences
Christopher A. Williams: Johannes Kepler University

A chapter in Entrepreneurship in the Digital Era, 2023, pp 37-51 from Springer

Abstract: Abstract Big Data has become an essential resource for creating innovative products and services. However, strong Big Data analytics capabilities are required to enable these as value-creation tools, which many businesses are struggling with. Therefore, many digital entrepreneurs with such high-level capabilities have recognised this situation as a lucrative business opportunity. Nonetheless, we still know little about how Big Data and Big Data analytics fit into entrepreneurship research. To fill this gap, we used qualitative methods and an embedded single case study. This includes semi-structured interviews with 20 experts from agriculture- and insurance-technology industries. For triangulation, we deployed a digital archival data analysis. Based on these findings, we created a model for data-driven digital entrepreneurs to help them navigate and evaluate data-driven digital opportunities. Our roadmap consists of three paths data-driven digital entrepreneurs may opt for: specialists, generalists, or system-of-systems designers. Ultimately, this study contributes to digital entrepreneurship literature by implementing the concept of Big Data in this emerging field.

Keywords: Digital entrepreneurship; Big Data; Big Data analytics; Entrepreneurial orientation; AgTech; InsurTech (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-43188-3_3

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