Reputation has often been proposed as the central mechanism that creates trust in the sharing economy. However, some sharing platforms that focus primarily on social rather than economically driven exchanges have managed to facilitate exchanges between users without the use of a reputation system. This could indicate that socially driven exchanges are in less need of reputation systems and that having sufficient trust is less problematic. We examine the effect of seller reputation on sales and price as proxies for trust, using a large dataset from a Dutch meal-sharing platform. This platform aims to stimulate social interactions between people via meal sharing. Multilevel regression analyses were used to test the association of reputation with trust. Our main empirical results are that reputation affects both sales and price positively, consistent with the existing reputation literature. We also found evidence of the presence of an information effect, i.e., the influence of reputation on sharing decreases when additional profile information is provided (e.g., a profile photo, a product description). Our results thus confirm the effectiveness of reputation in more socially driven exchanges also. Consequently, platform owners are advised to use reputation on their platform to increase sharing between its users.
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The field of data science and artificial intelligence (AI) is growing at an unprecedented rate. Manual tasks that for thousands of years could only be performed by humans are increasingly being taken over by intelligent machines. But, more importantly, tasks that could never be performed manually by humans, such as analysing big data, can now be automated while generating valuable knowledge for humankind
The use of the biopsychosocial model in primary care physiotherapy for chronic pain is far from the recommendations given in research and current guidelines. To understand why physiotherapists have difficulty implementing a biopsychosocial approach, more insight is needed on the barriers and facilitators. This scoping review aimed to investigate and map these barriers and facilitators that physiotherapists working in primary care reportedly face when treating patients with chronic musculoskeletal pain from a biopsychosocial perspective. Four electronic databases (PubMed, Embase, CINAHL and ERIC) and the grey literature were searched. Studies were included if they investigated the experiences of physiotherapists in the treatment of chronic pain from a biopsychosocial perspective in primary care. Extracted data were discussed and sub grouped in themes following a qualitative content analysis approach. To align with current use of theories on behavior change, the resulting themes were compared to the Theoretical Domains Framework. After screening, twenty-four studies were included. Eight groups of barriers and facilitators were identified, thematically clustered in six themes: knowledge, skills, and attitudes; environmental context and resources; role clarity; confidence; therapeutic alliance; and patient expectations. The results of this review can be used to inform the development of implementation programs.
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