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Germany experienced a unique rise in the level of self-employment in the first two decades following unification. Applying the nonlinear Blinder-Oaxaca decomposition technique, we find that the main factors driving these changes in the overall level of self-employment are demographic developments, the shift towards service sector employment and a larger share of population holding a tertiary degree. While these factors explain most of the development in self-employment with employees and the overall level of self-employment in West Germany, their explanatory power is much lower for the stronger increase in solo self-employment and in self-employment in former socialist East Germany.
The positive aspects of open innovation projects are widely discussed in innovation management research and practice by means of case studies and best practices. However, enterprises, particularly small and medium-sized enterprises (SMEs) also face miscellaneous challenges in open innovation practice, leading to uncertainty and even renunciation of open innovation project participation. Thus, it is essential for SMEs to find the right balance between possible positive effects and negative consequences - the latter being the less studied "dark sides" of open innovation. However, appropriate methods of finding this balance are still lacking. In this article, we discuss the assessment of open innovation project participation by presenting a weighing and decision process framework as a conceivable solution approach. The framework includes an internal, external, and integrated analysis as well as a recommendation and decision phase. Piece by piece, we investigate the current situation and the innovation goals of the enterprise as an initial point for a decision for or against engaging in open innovation. Furthermore, we discuss the development of a software tool that automatically applies this framework and allows self-assessment by SMEs.
Predicting entrepreneurial development based on individual and business-related characteristics is a key objective of entrepreneurship research. In this context, we investigate whether the motives of becoming an entrepreneur influence the subsequent entrepreneurial development. In our analysis, we examine a broad range of business outcomes including survival and income, as well as job creation, and expansion and innovation activities for up to 40 months after business formation. Using the self-determination theory as conceptual background, we aggregate the start-up motives into a continuous motivational index. We show – based on a unique dataset of German start-ups from unemployment and non-unemployment – that the later business performance is better, the higher they score on this index. Effects are particularly strong for growth-oriented outcomes like innovation and expansion activities. In a next step, we examine three underlying motivational categories that we term opportunity, career ambition, and necessity. We show that individuals driven by opportunity motives perform better in terms of innovation and business expansion activities, while career ambition is positively associated with survival, income, and the probability of hiring employees. All effects are robust to the inclusion of a large battery of covariates that are proven to be important determinants of entrepreneurial performance.
Why do entrepreneurship rates differ so markedly by gender? Using data from a large representative German household panel, we investigate to what extent personality traits, human capital, and the employment history influence the start-up decision and can explain the gender gap in entrepreneurship. Applying a decomposition analysis, we observe that the higher risk aversion among women explains a large share of the entrepreneurial gender gap. We also find an education effect contributing to the gender difference. In contrast, the Big Five model and the current employment state have effects in the opposite direction, meaning that the gender gap in entrepreneurial entry would be even larger if women had the same scores and the same employment status as men. (JEL codes: L26, J16, D81, J24, M13).
The impact of traits in entrepreneurship has been subject to intense discussion. Apart from favorable traits fostering opportunity recognition, entrepreneurial orientation, venture performance, and other variables, a younger research stream also addresses the role of negative traits. Among them, the dark triad, comprising of narcissism, Machiavellianism, and psychopathy, have gained specific attention. This systematic literature review aims to structure the field, identify current research themes, and provide a better understanding of prior research outcomes. Our results show that dark triad research addresses entrepreneurial activity, opportunity recognition, entrepreneurial orientation, entrepreneurial leadership, the and entrepreneurial motives. Among the dark triad traits, narcissism is stressed most in research so far. It relates to firm performance, risk, and leadership behavior, whereas Machiavellianism and psychopathy relate to opportunity recognition and exploitation. We also identify several research gaps, which can be addressed in future research.
Strategic entrepreneurship
(2020)
Purpose:
Strategic entrepreneurship (SE) depicts the nexus of strategic management and entrepreneurship, suggesting that firms can create superior wealth when simultaneously pursuing advantage-seeking and opportunity-seeking behavior. As the rapid growth in SE research led to a multidisciplinary, scattered and fragmented literature landscape, the authors aim to structure this research field.
Design/methodology/approach:
The authors employ a bibliographic coupling and literature review of the strategic entrepreneurship research field.
Findings:
The authors identify and describe five major research streams with 15 sub-themes in recent SE research. Based on our findings, the authors propose an integrated research framework and research gaps for future research.
Originality/value:
To the authors' knowledge, this is the first review on SE based on a bibliographic coupling.
Self-efficacy reflects the self-belief that one can persistently perform difficult and novel tasks while coping with adversity. As such beliefs reflect how individuals behave, think, and act, they are key for successful entrepreneurial activities. While existing literature mainly analyzes the influence of the task-related construct of entrepreneurial self-efficacy, we take a different perspective and investigate, based on a representative sample of 1,405 German business founders, how the personality characteristic of generalized self-efficacy influences start-up performance as measured by a broad set of business outcomes up to 19 months after business creation. Outcomes include start-up survival and entrepreneurial income, as well as growth-oriented outcomes such as job creation and innovation. We find statistically significant and economically important positive effects of high scores of self-efficacy on start-up survival and entrepreneurial income, which become even stronger when focusing on the growth-oriented outcome of innovation. Furthermore, we observe that generalized self-efficacy is similarly distributed between female and male business founders, with effects being partly stronger for female entrepreneurs. Our findings are important for policy instruments that are meant to support firm growth by facilitating the design of more target-oriented offers for training, coaching, and entrepreneurial incubators.
Institutional entrepreneurship comprises the activities of agents who disrupt existing social institutions or create new ones, often to enable diffusion, especially of radical innovations, in a market. The increased interest in institutional entrepreneurship has produced a large number of scholarly publications, especially in the last five years. As a consequence, the literature landscape is somewhat complex and scattered. We aim to compile a quantitative overview of the field within business and management research by conducting bibliometric performance analyses and science mappings. We identified the most productive and influential journals, authors, and articles with the highest impact. We found that institutional entrepreneurship has stronger ties to organization studies than to entrepreneurship research. Additionally, a large body of literature at the intersection of institutions and entrepreneurship does not refer to institutional entrepreneurship theory. The science mappings revealed a distinction between theoretical and conceptual research on one hand and applied and empirical research on the other hand. Research clusters reflect the structure–agency problem by focusing on the change agent’s goals and interests, strategies, and specific implementation mechanisms, as well as the relevance of public agents for existing institutions, and a more abstract process rather than agency view.
In response to strong revenue and income losses facing a large share of self-employed individuals during the COVID-19 pandemic, the German federal government introduced a €50bn emergency-aid program. Based on real-time online-survey data comprising more than 20,000 observations, we analyze the impact of this program on the confidence to survive the crisis. We investigate how the digitalization level of self-employed individuals influences the program’s effectiveness. Employing propensity score matching, we find that the emergency-aid program had only moderately positive effects on the confidence of self-employed to survive the crisis. However, self-employed whose businesses were highly digitalized, benefitted much more from the state aid than those whose businesses were less digitalized. This only holds true for those self-employed, who started the digitalization processes already before the crisis. Taking a regional perspective, we find suggestive evidence that the quality of the regional broadband infrastructure matters in the sense that it increases the effectiveness of the emergency-aid program. Our findings show the interplay between governmental support programs, the digitalization levels of entrepreneurs, and the regional digital infrastructure. The study helps public policy to improve the impact of crisis-related policy instruments, ultimately increasing the resilience of small firms in times of crises.
Entrepreneurship education (EE) has attracted much scholarly attention, showing exponential growth in publication and citation numbers. The research field has become broad, complex, and fragmented, making it increasingly difficult to oversee. Our research goal is to organise and integrate the previous literature. To this end, we use bibliometric analyses, differing from prior analyses, which are outdated or have a different focus. Our results show an immense growth in publications and citations over the last decade and an almost equal involvement of business and educational research. We identify the most productive and influential journals and authors. Our co-citation analysis reveals two research clusters, one focusing on psychological constructs relating to EE, and the other on entrepreneurial behaviour and new venture creation. Based on a review of the 25 most-cited articles on an annual basis, we identify and quantify the most relevant research themes and integrate them into a research framework that we propose for future research. A major finding is that extant research centres around the outcomes of entrepreneurship education, whereas its pedagogy is still mainly a black box.