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Does personality matter? Small business owners and modes of innovation

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Abstract

The DUI (learning by doing-using-interacting) mode offers a promising theoretical framework to explain why many small- and medium-sized enterprises (SMEs) are successful in innovation without research and development (R&D) efforts. In this context, we argue that—because of the informal, person-centered, and interactive nature of the DUI mode—small business owners should be in a key position to trigger DUI learning processes at the company level. Based on a large SME data set from Germany, we show empirically that Big Five personality traits of small business owners positively affect self-selection into DUI-based innovation in less R&D-intensive SMEs. That is, companies operating largely under the DUI mode seem to benefit in particular from certain owners’ personality characteristics. In addition, we present novel evidence that complementarities between different Big Five traits exist in terms of self-selection into the DUI mode, thereby pointing to the role of personality prototypes. The paper concludes with implications for policy and further research.

Plain English Summary

Solving the SME innovation puzzle—resilient owner personalities boost small firm innovativeness. This psychological effect only exists in non-R&D SMEs, providing a new explanation for their surprising innovation success. SME owners are involved in most day-to-day activities of their company. An owner’s personality therefore directly affects external and internal communication flows, laying the foundation for a company’s innovation culture. We show that a resilient personality type—an owner who is characterized by emotional stability, openness, extraversion, and conscientiousness—benefits innovation in non-R&D SMEs. According to our analysis, resilient owners are about 5.5% more likely to trigger an innovation mode within their company that builds on non-R&D-based knowledge, communication, and interaction. Our research implies that entrepreneurship education and consultancy should foster psychological self-awareness, and thereby increase an owner’s understanding of his/her most effective role in terms of firm-level innovation. Successful entrepreneurship and innovation is not fully determined by one’s personality type, but knowing one’s own strength and weaknesses can help to carve out an effective niche, defining the scope of one’s responsibility, as well as its limits.

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Code availability

The Stata do-file used for the empirical analysis is available in the Mendeley Data repository, V1, https://data.mendeley.com/datasets/nphgrvyf39/1.

Data availability

The dataset analyzed during the current study and a description of variables are available in the Mendeley Data repository, V1, https://data.mendeley.com/datasets/nphgrvyf39/1.

Notes

  1. Defined according to the SME definition set by the European Union (i.e., an upper threshold of 249 employees).

  2. We did not perform this two-step procedure in the case of innovation sources. Hierarchical clustering without additional k-means achieved more distinct groups with respect to the R&D variable. As the varying importance of in-house R&D lies at the heart of the STI/DUI concept, we refrained from non-hierarchical clustering there.

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Acknowledgment

We would like to thank the three anonymous referees for their valuable and very helpful comments. As part of the project “The skilled crafts sector in Saxony: An Analysis of its structure and potential,” our research was funded by the Saxon State Ministry for Economic Affairs, Labour and Transport. We gratefully acknowledge the cooperation with the three crafts chambers in the German state of Saxony. Moreover, we thank our colleague Till Proeger for detailed comments that helped us to improve the manuscript.

Funding

This study was funded by the Saxon State Ministry for Economic Affairs, Labour and Transport, Germany.

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Contributions

Both authors contributed to the study conception and design. Data collection and analysis were performed by both authors. The first draft of the manuscript was written by both authors and all authors commented on previous versions of the manuscript. Both authors read and approved the final manuscript.

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Correspondence to Jörg Thomä.

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The authors declare no competing interests.

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Appendix

Appendix

Table 6 Descriptive statistics
Table 7 Loadings from principal component factoring after varimax rotation (non-R&D sources of innovation)
Table 8 Four-cluster solution (modes of innovation)
Table 9 Marginal effects after probit regression (binary dependent variable: “innovation”ª)
Table 10 Multinomial probit coefficients—robustness check: excluding automobile trades; baseline variable: non-innovativefirms
Table 11 Item comparison in BFI-10 and BFI-44

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Runst, P., Thomä, J. Does personality matter? Small business owners and modes of innovation. Small Bus Econ 58, 2235–2260 (2022). https://doi.org/10.1007/s11187-021-00509-1

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  • DOI: https://doi.org/10.1007/s11187-021-00509-1

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