Blockchains as Enablers for Auditing Cooperative Circular Economy Networks

Implementing a circular economy business model which is profitable for businesses operating physical assets, while at the same time does not conflict with strategic goals of environmental policies can be a complex and risky undertaking for a single entity, especially if the asset operator is a small-to-medium enterprise (SMEs). To mitigate this, a collaborative circular economy business model is proposed, where the circular economy cycle is materialized by assets transitioning between asset operators on a demanddriven approach. Demand itself is partially based on the asset's state, which is described by its circular properties (location, condition, availability). The asset state and its transition between operators can be monitored by auditors and governmental regulators to ensure asset integrity and compliance with environmental targets. This common view of asset state between all parties can be enabled by blockchains and smart contracts, which can provide the underlying technology to share data with integrity, while simultaneously offering more efficient interoperability between participants. To demonstrate how this could be achieved, a conceptual asset record access and sharing mechanism is presented which is suitable for regulated environmental jurisdictions

Blockchain-based Electronic Patient Records for Regulated Circular Healthcare Jurisdictions

Circular, data-driven healthcare is increasingly being considered as an effective model to provide efficient, cost-effective and sustainable healthcare services in the future. Central to this model is the service-dominant “building-block”-type provision of care services to patients, paired with the collaboration of healthcare providers through a common infrastructure. This combination enables the forming of a decentralized, holistic care cycle. Sharing of patient medical information is pivotal towards reaching this goal; however, preserving medical record integrity and privacy, while at the same time allowing provider interoperability are often conflicting requirements. Blockchains and Smart Contracts can provide the underlying technology to support the decentralized care cycle by addressing patient privacy and medical record integrity, while simultaneously offering efficient interoperability between providers. To demonstrate how this could be achieved, a conceptual medical record access and sharing mechanism is presented which is suitable for a system operating within a regulated healthcare jurisdiction

Exploring Destination Loyalty: Application of Social Media Analytics in a Nature-based Tourism Setting

User-generated content across social media platforms is playing an increasingly important role in the tourism context. Understanding tourists’ experiences and opinions about tourism destinations has led to numerous opportunities to provide tourism providers and decision-makers with greater insight. Identifying sentiments, detecting topics of interest, and exploring loyalty behaviors from user-generated content can provide valuable direction for managerial decisions. Few if any studies on social media analytics have demonstrated the support for strategic decision-making. This paper presents a novel and inclusive approach that uses different analytical techniques such as sentiment analysis and topic modeling to extract sentiments and topics of interest from tourists’ conversational data on TripAdvisor from 2002 to 2019, and also explore destination loyalty statements using a keyword clustering approach. Previous destination loyalty literature was used to develop a keyword list that was applied to search for expression of loyalty in online reviews. The robustness of loyalty clusters and optimal number of clusters was also assessed prior to final analysis. Four leading loyalty-focused categories of destination offerings were observed: glaciers, waterfalls, lakes and islands, and hiking and trails. Prioritization of visitor experience enhancements relating to these loyalty inducing destination components are discussed

A new model for maximal coverage exploiting GIS capabilities

The representation of demand is a key issue which can significantly affect results in several demand covering models. In this paper we concentrate on the well known Maximal Coverage Location Problem and demonstrate that alternative representations of the demand space may lead to largely fluctuating as well as misleading results which seriously overestimate the real coverage achieved by a specified number of servers. We introduce a new model based on the notion of complementary partial coverage and exploit the capabilities of Geographic Information Systems in order to better represent demand. Results of an empirical study indicate that the proposed model is less susceptible to fluctuations for alternative representations of the demand space and that it provides coverage of a larger proportion of demand than traditional models.Demand covering Geographic Information Systems (GIS) Location analysis

Perceived constraints on recreational sport participation : investigating their relationship with intrinsic motivation, extrinsic motivation and amotivation

Enquête par questionaire auprès de 450 adultes de la ville de Thessaloniki. Les contraintes analysées sont psychologiques, de temps, d'ignorance des possibilités, d'équipements et de transport, de partenaires, d'intérêts