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A holistic approach to sustainable growth from entrepreneurship

Reference number
Coordinator Stiftelsen Stockholm School of Economics (SSE) - Stiftelsen Stockholm School of Economics institute for research (SIR)
Funding from Vinnova SEK 1 310 400
Project duration January 2018 - July 2022
Status Completed

Purpose and goal

Increase our knowledge about the development of innovative growth companies and their entrepreneurs over time with links to different financing strategies. Sub-project (i) Follow the entrepreneur: Influence of entrepreneurial experience on individuals´ future careers, (ii) Sustainable growth models: Explanations of sustainable growth in startups with links to financing choices, (iii) Path dependence in new venture´s capital structures: Consequences of early financing choices on future funding strategies Objective: Publish the results in scientific journals.

Expected results and effects

OBJECTIVES ACHIEVED TO A RATHER LARGE EXTENT Sub proj 1: Objective achieved - research completed, research article "Post-entrepreneurial wage-employments: Signaling effects from entrepreneurial experience" submitted in June 2022 to a highly ranked academic journal. Sub proj 2: Delayed - objective not achieved. Prel results presented at research conference 2021 Sub proj 3: Objective achieved - research completed, research article "Path dependence in new ventures´ capital structures" published in Entrepreneurship, Theory and Practice 2021 Other: Six conference papers

Planned approach and implementation

A central part of our research strategy was to create a rich unique database with information about Swedish high-growth innovative startups, their founders and funding sources. We collected both primary data and secondary data. Few other studies in the field have taken such a combined approach with both homogenous innovation driven samples and population samples and simultaneously focused on sustainable growth and financing strategies in startup firms. Statistical methods utilized are hypothesis-driven testing by estimating OLS and logistic regression models.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 14 October 2022

Reference number 2017-05375

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