Geographers have long pondered the role of tourism in producing and shaping space. The description of resort geographies popular in the 1980s and 1990s has gradually given way to the current vogue for place-making and place marketing, re-centering geography in the tourism field. More recently, however, the rise of the sharing economy and “relational tourism” has caused researchers to look beyond the construction and consumption of place and to delve into the co-creation of localities between tourists and residents. These shorter and longer-term “locals” increasingly find each other without the intervention of the traditional tourism industry, giving rise to whole new fields of economic, cultural and social exchange. The growth of companies such as Couchsurfing, Airbnb and Uber not only represents a challenge to traditional views of tourism, but is also reshaping the localities inhabited by tourists. This analysis examines the consequences of the new localities of tourism and they ways in which this might affect the future of tourism itself.
Users and potential users of the sharing economy need to place a considerable amount of trust in both the person and the platform with which they are dealing. The consequences of transaction partners’ opportunism may be severe, for example damage to goods or endangered personal safety. Trust is, therefore, a key factor in overcoming uncertainty and mitigating risk. However, there is no thorough overview of how trust is developed in this context. To understand how the trust of users in the sharing economy is influenced, we performed a systematic literature review. After screening, 45 articles were included in a qualitative synthesis in which the results were grouped according to a well‐established trust typology. The results show various antecedents of trust in the sharing economy (e.g. reputation, trust in the platform, and interaction experience) related to multiple entities (i.e. seller, buyer, platform, interpersonal, and transaction). Trust in this economy is often reduced to the use of reputation systems alone. However, our study suggests that trust is much more complex than that and extends beyond reputation. Furthermore, our review clearly shows that research on trust in the sharing economy is still scarce and thus more research is needed to understand how trust is established in this context. Our review is the first that brings together antecedents of trust in online peer‐to‐peer transactions and integrates these findings within an existing framework. Additionally, the study suggests directions for future research in order to advance the understanding of trust in the sharing economy.
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The maximum capacity of the road infrastructure is being reached due to the number of vehicles that are being introduced on Dutch roads each day. One of the plausible solutions to tackle congestion could be efficient and effective use of road infrastructure using modern technologies such as cooperative mobility. Cooperative mobility relies majorly on big data that is generated potentially by millions of vehicles that are travelling on the road. But how can this data be generated? Modern vehicles already contain a host of sensors that are required for its operation. This data is typically circulated within an automobile via the CAN bus and can in-principle be shared with the outside world considering the privacy aspects of data sharing. The main problem is, however, the difficulty in interpreting this data. This is mainly because the configuration of this data varies between manufacturers and vehicle models and have not been standardized by the manufacturers. Signals from the CAN bus could be manually reverse engineered, but this process is extremely labour-intensive and time-consuming. In this project we investigate if an intelligent tool or specific test procedures could be developed to extract CAN messages and their composition efficiently irrespective of vehicle brand and type. This would lay the foundations that are required to generate big data-sets from in-vehicle data efficiently.
For the development of a circular economy and the reduction of the environmental impact of supply chains, the sharing of reliable information throughout the entire chain is a prerequisite. In practice, this is difficult to realise which blockchain can improve. BCLivingLab aims to explore the application of blockchain technology in supply chain and logistics. The project develops four physical hubs and a virtual repository for blockchain knowledge to support SME’s in developing use-cases and experiment with blockchain applications. The ambition is to build a community of interested stakeholders and to be involved in current and future blockchain initiatives.
For the development of a circular economy and the reduction of the environmental impact of supply chains, the sharing of reliable information throughout the entire chain is a prerequisite. In practice, this is difficult to realise which blockchain can improve. BCLivingLab aims to explore the application of blockchain technology in supply chain and logistics. The project develops four physical hubs and a virtual repository for blockchain knowledge to support SME’s in developing use-cases and experiment with blockchain applications. The ambition is to build a community of interested stakeholders and to be involved in current and future blockchain initiatives.
