nep-ent New Economics Papers
on Entrepreneurship
Issue of 2026–04–13
six papers chosen by
Marcus Dejardin, Université de Namur


  1. A Note on Churning of Exporters and Dynamics of Exports: Evidence from Panel Data for 69 Countries By Wagner, Joachim
  2. Token Financing vs. Equity and Crowdfunding By Edmond Baranès; Ulrich Hege; Jin-Hyuk Kim
  3. Too much of a good thing? Entrepreneurial orientation and the non-linear governance effects of SaaS platforms By Jacopo Ballerini; Magali Pino; Michal Kud\v{e}j; Alberto Ferraris
  4. Supporting Small Businesses: A speech at CBA LIVE 26, Consumer Bankers Association, San Diego, California., March 31, 2026 By Michelle W. Bowman
  5. YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches By Mostapha Benhenda
  6. Early Adoption of Generative AI among SMEs: Industry-level analysis using cloud accounting data (Japanese) By Yoko KONISHI; TakashiKUBO

  1. By: Wagner, Joachim (Leuphana University Lüneburg)
    Abstract: This short note looks at the link between churning of exporters and dynamics of exports using data from the World Bank Exporter Dynamics Database from 69 countries primarily for the period between 2003 and 2010. In line with Schumpetarian theory of creative destruction we report that a higher rate of turnover in export activity by entry and exit of firms in the year before is positively linked to export growth in the current year after controlling for unobserved time-invariant country effects and country-invariant time effects. Creative destruction is at work in exports.
    Keywords: Exporter Dynamics Database, creative destruction, export entry, export exit
    JEL: F14
    Date: 2026–03
    URL: https://d.repec.org/n?u=RePEc:iza:izadps:dp18497
  2. By: Edmond Baranès (Unknown); Ulrich Hege (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement); Jin-Hyuk Kim (Unknown)
    Abstract: We present a stylized model of three entrepreneurial financing methods based on two tradeoffs. First, token financing and crowdfunding reveal consumer-investors' demand for the product prior to investment, but upfront purchase weakens the entrepreneur's incentive to deliver. Second, token financing permits a bubble component in token value, but reduces consumer surplus.
    Keywords: crowdfunding, entrepreneurial financing, initial coin offering, token regulation, ,financement participatif, financement des entreprises, offre initiale de jetons, réglementation des jetons, jeton utilitaire, utility token
    Date: 2026–03–30
    URL: https://d.repec.org/n?u=RePEc:hal:journl:hal-05578939
  3. By: Jacopo Ballerini; Magali Pino; Michal Kud\v{e}j; Alberto Ferraris
    Abstract: This study investigates how entrepreneurial orientation (EO) affects governance of SaaS platforms in SMEs, including strategy alignment and long-term governance performance. This study uses SaaS as a hybrid governance model to examine how transaction cost variables affect strategic alignment and how EO moderates these associations. The research uses multi-study design. Study 1 examined 180 UK and US entrepreneurs' survey data using PLS-SEM with reflecting constructs. Study 2 used a quasi-experimental approach using a secondary dataset from 238 European start-ups to operationalize variables using industry-based indicators. The study found an inverted U-shaped association between human asset specificity, SaaS usage frequency, and SMEs' strategic objectives. Risk-taking deepens the link between human asset distinctiveness and SaaS strategic alignment, while proactiveness strengthens the link to long-term success. Both studies show that SaaS strategic alignment has an inverted U-shaped connection with long-term performance, suggesting that excessive SaaS dependence may harm governance-enabled strategic outcomes. This paper introduces SaaS as a hybrid governance paradigm and examines its strategic influence on SMEs, utilizing transaction cost theory and EO perspectives. It shows the non-linear effects of SaaS adoption on strategic alignment and performance, emphasizing entrepreneurial decision-making in digital technology adoption.
    Date: 2026–03
    URL: https://d.repec.org/n?u=RePEc:arx:papers:2604.02363
  4. By: Michelle W. Bowman
    Date: 2026–03–31
    URL: https://d.repec.org/n?u=RePEc:fip:fedgsq:103011
  5. By: Mostapha Benhenda
    Abstract: Forecasting startup success is notoriously difficult, partly because meaningful outcomes, such as exits, large funding rounds, and sustained revenue growth, are rare and can take years to materialize. As a result, signals are sparse and evaluation cycles are slow. Y Combinator batches offer a unique mitigation: each batch comprises around 200 startups, funded simultaneously, with evaluation at Demo Day only three months later. We introduce YC Bench, a live benchmark for forecasting early outperformance within YC batches. Using the YC W26 batch as a case study (196 startups), we measure outperformance with a Pre-Demo Day Score, a KPI combining publicly available traction signals and web visibility. This short-term metric enables rapid evaluation of forecasting models. As a baseline, we take Google mentions prior to the YC W26 application deadline, a simple proxy for prior brand recognition, recovering 6 of 11 top performers at YC Demo Day (55% recall). YC Bench provides a live benchmark for studying startup success forecasting, with iteration cycles measured in months rather than years. Code and Data are available on GitHub: https://github.com/benstaf/ycbench
    Date: 2026–04
    URL: https://d.repec.org/n?u=RePEc:arx:papers:2604.02378
  6. By: Yoko KONISHI; TakashiKUBO
    Abstract: This study examines how small and medium-sized enterprises (SMEs) in Japan adopted generative artificial intelligence (AI) during the early phase of its diffusion. Generative AI spread rapidly after late 2022, yet little is known about how firms actually initiated adoption. Using monthly industry-level data constructed from cloud accounting service logs, we analyze actual payment records for generative AI services from 2022 to 2025, covering approximately 87, 000 SMEs. We find that initial adoption was highly synchronized across industries, with a sharp increase in early 2023 following major technological releases. However, subsequent differences in adoption levels are primarily associated with industry characteristics and pre-existing digital technology usage structures. Sectors with more advanced digital infrastructures exhibit higher sustained adoption rates. By documenting real adoption behavior at its formative stage, this study provides baseline evidence for future evaluations of economic impacts and the design of SME technology policies.
    Date: 2026–03
    URL: https://d.repec.org/n?u=RePEc:eti:rdpsjp:26018

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