The sharing economy holds promise for the way we consume, work, and interact. However, consuming in the sharing economy is not without risk, as institutional trust measures (e.g. contracts, regulations, guarantees) are often absent. Trust between sellers and buyers is therefore crucial to complete transactions successfully. From a buyer ́s perspective, a seller ́s profile is an important source of information for judging trustworthiness, because it contains multiple trust cues such as a reputation score, a profile picture, and a textual self-description. The effect of a seller’s self-description on perceived trustworthiness is still poorly understood. We examine how the linguistic features of a seller’s self-description predict perceived trustworthiness. To determine the perceived trustworthiness of 259 profiles, 189 real buyers on a Dutch sharing platform rated their trustworthiness. The results show that profiles were perceived as more trustworthy if they contained more words (which could be an indicator of uncertainty reduction), more words related to cooking (indicator of expertise), and more words related to positive emotions (indicator of enthusiasm). Also, a profile’s perceived trustworthiness score correlated positively with the seller’s actual sales performance. These findings indicate that a seller’s self-description is a relevant signal to buyers, eventhough it is cheap talk (i.e. easy to produce). The results can guide sellers on how to self-present themselves on sharing platforms and inform platform owners on how to design their platform so that it enhances trust between platform users.
Property sharing is one of the most prominent examples of the rapidly expanding sharing economy. Travelers around the world often opt to stay at a stranger's apartment instead of any other tourism accommodation. Trust is essential in this choice, because staying with, or taking in, strangers can entail great risks. To create trust between users, sharing platforms often promote a sense of community. However, the relation between sense of community and trust in the sharing economy is still largely unknown. To investigate this relation, both hosts and guests of two sharing platforms, namely Airbnb and SabbaticalHomes, were surveyed. The findings indicate that sense of community indeed enhances trust between users. Moreover, the evidence suggests that hosts have a stronger sense of community than guests. Also, a significantly higher sense of community was found on the platform where identification between users is higher. This study shows that affect for the community contributes to the understanding of trust in the sharing economy.
Human factor in cybersecurity This unique event aims to: -Provide a near zero cost event to reduce barriers to international collaborations between researchers -Promote the exchange of cybersecurity findings and perspectives -Reach out to and engage new audiences curious about cybersecurity
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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.
Collaborative networks for sustainability are emerging rapidly to address urgent societal challenges. By bringing together organizations with different knowledge bases, resources and capabilities, collaborative networks enhance information exchange, knowledge sharing and learning opportunities to address these complex problems that cannot be solved by organizations individually. Nowhere is this more apparent than in the apparel sector, where examples of collaborative networks for sustainability are plenty, for example Sustainable Apparel Coalition, Zero Discharge Hazardous Chemicals, and the Fair Wear Foundation. Companies like C&A and H&M but also smaller players join these networks to take their social responsibility. Collaborative networks are unlike traditional forms of organizations; they are loosely structured collectives of different, often competing organizations, with dynamic membership and usually lack legal status. However, they do not emerge or organize on their own; they need network orchestrators who manage the network in terms of activities and participants. But network orchestrators face many challenges. They have to balance the interests of diverse companies and deal with tensions that often arise between them, like sharing their innovative knowledge. Orchestrators also have to “sell” the value of the network to potential new participants, who make decisions about which networks to join based on the benefits they expect to get from participating. Network orchestrators often do not know the best way to maintain engagement, commitment and enthusiasm or how to ensure knowledge and resource sharing, especially when competitors are involved. Furthermore, collaborative networks receive funding from grants or subsidies, creating financial uncertainty about its continuity. Raising financing from the private sector is difficult and network orchestrators compete more and more for resources. When networks dissolve or dysfunction (due to a lack of value creation and capture for participants, a lack of financing or a non-functioning business model), the collective value that has been created and accrued over time may be lost. This is problematic given that industrial transformations towards sustainability take many years and durable organizational forms are required to ensure ongoing support for this change. Network orchestration is a new profession. There are no guidelines, handbooks or good practices for how to perform this role, nor is there professional education or a professional association that represents network orchestrators. This is urgently needed as network orchestrators struggle with their role in governing networks so that they create and capture value for participants and ultimately ensure better network performance and survival. This project aims to foster the professionalization of the network orchestrator role by: (a) generating knowledge, developing and testing collaborative network governance models, facilitation tools and collaborative business modeling tools to enable network orchestrators to improve the performance of collaborative networks in terms of collective value creation (network level) and private value capture (network participant level) (b) organizing platform activities for network orchestrators to exchange ideas, best practices and learn from each other, thereby facilitating the formation of a professional identity, standards and community of network orchestrators.