Towards a systemic entrepreneurship activity model

Yngve Dahle (), Kevin Reuther, Martin Steinert and Magne Supphellen
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Yngve Dahle: University of South-Eastern Norway
Kevin Reuther: University of Leipzig
Martin Steinert: Norwegian University of Science and Technology
Magne Supphellen: Norwegian School of Economics

International Entrepreneurship and Management Journal, 2023, vol. 19, issue 4, No 3, 1583-1610

Abstract: Abstract Entrepreneurship research would benefit from a mechanism gathering activity data from a large number of entrepreneurial initiatives. This paper starts by building on Zott and Amit’s activity system perspective to introduce a holistic activity model of entrepreneurship containing seven steps and 29 elements. This model has been used by 13,927 entrepreneurial projects between the years of 2015 to 2022. By applying a digital, non-participant observation method, this led to the development of a dataset containing information on 935,745 activities. We use three concrete research cases to exemplify how this model, method and dataset can be utilized for bringing research on entrepreneurial activities forward.

Keywords: Entrepreneurship support; Entrepreneurial ecosystem; Business modelling; Big data; Lean startup (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11365-023-00874-1

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