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PublicationBook chapter

Startups, financing and geography – findings from a survey

Abstract

This chapter investigates the importance of bank loans for the financing of startups and how location matters for expansion plans and financing. The two main questions posed are: what does the financing of Swedish corporate startups look like, and how does location matter for expansion plans and financing? To provide answers to these questions, both survey data and registry data have been used. The survey data are from a questionnaire sent out to startups listed in the files of the Swedish Jobs and Society Foundation. We looked at corporations founded during the period 2009–2013 that are family firms in terms of ownership structure. The survey indicated that bank loans are rare. Essentially, the entrepreneur personally takes most of the business risk. Combining registry data with the qualitative data from the survey, we used regression analysis to study differences due to location. The regression analysis showed that the degree of urbanization matters for plans for expansion. In the three most urbanized areas, the startup firms had plans to expand their business both at home and abroad. In the other urbanized areas, the focus was on expansion at home.

Bjuggren, P.-O., & Elmoznino Laufer, M. (2018). Startups, financing and geography – findings from a survey. In U. Gråsjö, C. Karlsson, & I. Bernhard (Eds.), Geography, Open Innovation and Entrepreneurship (pp. 257-284). Cheltenham: Edward Elgar. DOI: 10.4337/9781786439901.00014

Details

Author
Bjuggren, P.-O., & Elmoznino Laufer, M.
Publication year
2018
Published in

Gråsjö, U., Karlsson C. & Bernhard, I. (2018)

Related

  • Professor emeritus

    Per-Olof Bjuggren

    +46760188712p-o.bjuggren@ratio.se

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Working paper

Working Paper No. 355: The artificial intelligence (AI) data access regime: what are the factors affecting the access and sharing of industrial AI data?

Bjuggren, P.O. & Long, V.
Download

Publication year

2022

Published in

Bjuggren, P.O. & Long, V.

Abstract

This paper decomposes the factors that govern the access and sharing of machine-generated industrial data in the artificial intelligence era. Through a mapping of the key technological, institutional, and firm-level factors that affect the choice of governance structures, this study provides a synthesised view of AI data-sharing and coordination mechanisms. The question to be asked here is whether the hitherto de facto control—bilateral contracts and technical solution-dominating industrial practices in data sharing—can handle the long-run exchange needs or not.

Article (with peer review)

The openness of open innovation in ecosystems

Öberg, C., & Alexander, A.

Publication year

2019

Published in

Journal of Innovation & Knowledge

Abstract

Open innovation has rendered increased interest both in practice and research, and has expanded from dyadic transfers of ideas, to ecosystem levels. Knowledge is at the heart of open innovation, and this paper describes and discusses knowledge-transfer linkages for open innovation. It does so based on a literature review. The paper links together open innovation research with general management research to categorise and discuss linkages among parties in terms of their openness and how they relate to knowledge management. Conclusions indicate that openness needs to be considered in different dimensions that also links to different knowledge management outcomes. The paper’s contribution consists of how it connects open innovation research to the general management literature, and how it builds a practical understanding of how linkages between firms can be categorised to aid firms to consider which mechanisms they may choose and why.

Article (with peer review)

Direct and indirect effects of private- and government-sponsored venture capital

Engberg, E., Gustavsson Tingvall, P. & Halvarsson, D.

Publication year

2021

Published in

Empirical Economics

Abstract

Starting from the discourse on the impact of private and governmental venture capital investments, we examine the effects of different types of venture capital on firms’ sales, employment and investment. Our results show that both private and governmental venture capital investments boost firm sales with a delay of 2–3 years. The results suggest that VC impacts sales primarily through efficiency gains and to some extent, investments in physical capital investments, whereas no employment effects can be traced. Finally, we find indications of governmental VC investors being more prone to make follow-up investments in stagnating, non-growing firms than private investors.

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