nep-ent New Economics Papers
on Entrepreneurship
Issue of 2023‒04‒10
seven papers chosen by
Marcus Dejardin
Université de Namur

  1. SMEs’ Open Innovation: Applying a Barrier Approach By Sandra Dubouloz; Rachel Bocquet; Catherine Equey Balzli; Elodie Gardet; Romain Gandia
  2. The Effects of Financial Incentives on Small and Medium-sized Enterprises' Demand for Workers with Disabilities: Evidence from changes in Japan's employment quota system By MATSUMOTO Kodai; OKUMURA Yota; MORIMOTO Atsushi; YUGAMI Kazufumi
  3. Supporting the UK’s self-employed By Robert Blackburn; Maria Ventura
  4. The causes, course and consequences of the surge in Venture Capital AgTech investments By Julian S. Rochea
  5. Technical Founders, Digital Transformation and Corporate Technological Innovation: Empirical Evidence from Listed Companies in China’s STAR Market By Zhi-Guang Li; Yanrui Wu; Yao-Kuang Li
  6. Analysis of the economic impact of COVID-19 pandemic on Small and Medium Enterprises By Fernando Luis Valli; Ayelen Bargados; Christian Haedo
  7. Redes y autoempleo: Evidencia con datos de Facebook By Gutierrez-Lythgoe, Antonio

  1. By: Sandra Dubouloz (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc); Rachel Bocquet (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc); Catherine Equey Balzli (HEG - Haute Ecole de Gestion de Genève); Elodie Gardet (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc); Romain Gandia (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc)
    Abstract: This article identifies barriers that small and medium-sized enterprises (SMEs) encounter when they openly innovate, according to the open innovation (OI) mode used (inbound, outbound, coupled). A qualitative analysis—involving seven case studies of SMEs active in digital (high-tech) or social economy (low-tech) sectors—reveals that they face more internal than external OI barriers. Overall, the nature of the barriers does not vary across OI modes, but their intensity does. With regard to external barriers, the results reveal a "tribe syndrome, " such that SMEs resist opening up to other firms that do not share the same values.
    Keywords: open innovation (OI), OI barriers, SMEs, digital economy, social economy, tribe syndrome
    Date: 2021–11
  2. By: MATSUMOTO Kodai; OKUMURA Yota; MORIMOTO Atsushi; YUGAMI Kazufumi
    Abstract: This study evaluates whether a levy–grant system for disability employment promotes employment in small and medium-sized enterprises using administrative data recording the firms’ employment of people with disabilities by law. We employ a 2015 policy change in Japan regarding the size of firms subject to the levy–grant system as a natural experiment and use the difference-in-differences method to examine the effect of the change. The results reveal several important findings. First, the policy change generally promotes the employment of people with disabilities in small and medium-sized enterprises in Japan. Second, we observe that firms originally employing workers with disabilities increase their number, while firms that did not originally employ any workers with disabilities start to hire them. Third, the treatment effects appear even before the policy implementation, indicating that prior announcements encouraged firms to secure people with disabilities with the appropriate skills for their firms at an early period. Fourth, a levy imposed for not achieving the legal employment rate is more effective than a grant paid for achieving the rate. Finally, we confirm the heterogeneity in policy effects by region and industry.
    Date: 2023–03
  3. By: Robert Blackburn; Maria Ventura
    Abstract: Two years after the Covid-19 crisis began, incomes of the UK's self-employed remain well below their pre-pandemic levels. Robert Blackburn and Maria Ventura explain why the solo self-employed, who represent about 85% of self-employment, may be hit particularly hard by high inflation.
    Keywords: self-employment, labour markets, covid-19, prices
    Date: 2022–10–20
  4. By: Julian S. Rochea
    Abstract: Between 2018-2022, there was a significant surge of venture capital in Agtech. The causes were many: the rise in global population and its consequences, AgTech developments themselves, the search for new investment sectors by VCs themselves, and even the pandemic all played a part. The surge brought investment to locations that hitherto had been completely outside the VC radar, notably Asia but now also Africa. Now that the surge has ebbed, along with VC investment as a whole, it is possible to begin to take stock. The evidence to date suggests that the majority of investment during the surge has flowed into downstream companies with the opportunity for rapid growth and high valuations. No global champion has yet emerged for upstream AgTech, whether in plant genetics, animal health or even novel farming systems. The impact of the surge in raising yields therefore rests on exits to or partnerships with major corporates, as they have the capacity to deliver technology at scale.
    Keywords: Agricultural Finance
    Date: 2023–03–24
  5. By: Zhi-Guang Li (School of Management, Hefei University of Technology, Hefei, China); Yanrui Wu (Business School, The University of Western Australia); Yao-Kuang Li (School of Management, Hefei University of Technology, Hefei, China)
    Abstract: Technology entrepreneurship and corporate innovation are important for the development of indigenous innovation. In the digital age, founders are subject to fundamental changes in their strategy choices, which in turn affect corporate innovation performance. This paper aims to explore the strategic choices adopted by technical founders of listed companies in China’s STAR market to reap the rewards of innovation in a digital context. Based on the annual reports of 124 listed companies in China’s STAR Market, this paper applies machine learning methods to quantify digital transformation of enterprises, and empirically analyzes the relationship between technical founders and innovation performance by constructing a moderated mediating model. Our results show that companies with technical founders are more likely to adopt digital transformation and thus show better innovation performance. In terms of heterogeneity, the empirical results demonstrate that firms with technical founders show better performance in digital transformation, followed in turn by those with business founders and academic founders. Both the positive relationship between enterprise digital transformation and innovation performance and the mediating effect of digital transformation are positively moderated by venture capital or private equity support. The findings reveal the microscopic mechanism of the role of technology-based founders on corporate innovation performance and hence have practical implications for promoting corporate digital transformation and enhancing firm technological innovation.
    Keywords: Technical founder; Technological Innovation; Technology entrepreneurship; Digital transformation; Innovation performance; STAR Market
    Date: 2023
  6. By: Fernando Luis Valli; Ayelen Bargados; Christian Haedo
    Keywords: COVID, empresas PyME, industria manufacturera
    JEL: C24 C25
    Date: 2021–11
  7. By: Gutierrez-Lythgoe, Antonio
    Abstract: This study empirically analyzes the effect of social connectivity between counties in the United States on their self-employment rate. To do this, we use the Social Connectivity Index, which indicates the degree of social connectivity between two regions based on the friendship relationships among users of the Facebook social network. e observed that social connectivity with counties with high self-employment rates is positively and statistically correlated with a county's self-employment rate, while unemployment rate, median household income, and population density are negatively correlated with the self-employment rate. In addition, statistically significant correlations were found between social connectivity and the self-employment rate in interaction with median household income, college education gap, median age, and percentage of male population. These findings suggest that social connection can influence the self-employment rate of a region, especially in those counties with lower median household income, higher education levels, and advanced age.
    Keywords: Self-employment; Social networks; Social Connectedness Index; Facebook; Big Data
    JEL: J23 L86
    Date: 2023–03–14

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