PurposeThis article examines the nature of service provision in the platform-based collaborative economy from the perspective of entrepreneurship theories. It departs from a knowledge gap about the individual and contextual determinants of service provision through digital platforms. By exploring these determinants for the service provision in two main sectors of the collaborative economy, transportation and accommodation, the study provides a first conceptual introduction of these activities and their nature for the existing entrepreneurship research.Design/methodology/approachThe analysis is based upon Eurobarometer microdata (2018), covering 28 European countries with about 27,000 observations, and uses a seemingly unrelated Probit model.FindingsThe likelihood of service provision through platforms in the collaborative economy is highest for individuals aged 25–34 years but decreases continuously with age. Occupation, sex and population density of the place of residence are other relevant determinants. By contrast, the regulatory system and GDP per capita of the region are not relevant.Research limitations/implicationsThe findings illuminate the under-studied individual and contextual determinants related to individuals engaging with entrepreneurial activities in the collaborative economy. Future research should investigate the role of previous self-employment, skills and spatial context.Practical implicationsThe collaborative economy is still a marginal sector in Europe that is likely to grow bigger. Particularly the young, highly educated entrepreneurial persons located in urban regions may spur this expected growth. Supporting policy measures aimed at this social stratum might foster digital entrepreneurship and contribute to growth in the digital economy.Originality/valueBy exploring the individual and contextual determinants for the service provision in the two main sectors of the platform-based collaborative economy, transportation and accommodation, the study provides a first conceptual introduction of these activities and their nature into existing entrepreneurship research.
The relationship between Airbnb-based and traditional accommodation is mainly documented for key tourist destinations with a large tourism sector, while there is almost no evidence on this for other destinations. This article focuses on regional variations in the relationship between Airbnb-based and traditional accommodation across primary and secondary tourist destinations in Norway. Through an exploratory cluster analysis and a panel vector autoregressive (PVAR) model with forecast error decomposition of shocks (unobserved effects), it finds evidence of spillovers from Airbnb-based accommodation to traditional accommodation in secondary destinations. The demand for traditional accommodation is positively affected by Airbnb demand in the long run. Interestingly, a smaller effect is found with the supply-side of regional tourism markets in the Norwegian secondary tourist destinations. The growth of Airbnb may, thus, spur growth in the general tourism sector in such less frequented destinations.
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