307 research outputs found

    Building Winners? An Empirical Evaluation of Public Business Assistance in the Founding Process

    Get PDF
    This paper investigates economic and subjective effects of public business assistance delivered to nascent entrepreneurs in Germany. Employing cluster analysis, we explore the actual scope and intensity of business assistance used. Then we analyze predictors of take-up and perceived usefulness taking into account the different patterns of utilized assistance. Finally, we assess economic effects by studying subsequent business performance employing propensity score matching. We cannot reveal that business assistance translates into better start-up performance. However, we find that a lack of personal entrepreneurial resources predicts take-up of business assistance in general as well as perceived usefulness of comprehensive business assistance.entrepreneurship, business assistance, policy evaluation, entrepreneurial resources, big five

    Regional characteristics, opportunity perception and entrepreneurial activities

    Get PDF
    This paper seeks to better understand the link between regional characteristics and individual entrepreneurship. We combine individual-level GEM data for Western Germany with regional-level data, using multi-level analysis to test our hypotheses. We find no direct link between regional knowledge creation, the economic context and an entrepreneurial culture on the one side and individual business start-up intentions and start-up activity on the other side. However our findings point to the importance of an indirect effect of regional characteristics as knowledge creation, the economic context and an entrepreneurial culture have an effect on the individual perception of founding opportunities which in turn predicted start-up intentions and activity

    Artificial Intelligence and Big Data in Entrepreneurship: A New Era Has Begun

    Full text link
    While the disruptive potential of artificial intelligence (AI) and Big Data has been receiving growing attention and concern in a variety of research and application fields over the last few years, it has not received much scrutiny in contemporary entrepreneurship research so far. Here we present some reflections and a collection of papers on the role of AI and Big Data for this emerging area in the study and application of entrepreneurship research. While being mindful of the potentially overwhelming nature of the rapid progress in machine intelligence and other Big Data technologies for contemporary structures in entrepreneurship research, we put an emphasis on the reciprocity of the co-evolving fields of entrepreneurship research and practice. How can AI and Big Data contribute to a productive transformation of the research field and the real-world phenomena (e.g., 'smart entrepreneurship')? We also discuss, however, ethical issues as well as challenges around a potential contradiction between entrepreneurial uncertainty and rule-driven AI rationality. The editorial gives researchers and practitioners orientation and showcases avenues and examples for concrete research in this field. At the same time, however, it is not unlikely that we will encounter unforeseeable and currently inexplicable developments in the field soon. We call on entrepreneurship scholars, educators, and practitioners to proactively prepare for future scenarios
    corecore