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The purpose of this paper was to design ontology for describing semantic context‐aware quality services, and to present a new web management tool that provides a great flexibility and enables automatic semantic adaptation and customization of mobile client services.

The tool is developed using ontology‐based approach. This ontology captures a shared conceptual schema common in the tourism domain and maintains semantic quality information in heterogeneous service providers for service model. The results of the tool will be compared to prior works from other quality and distributed based service selection methods for mobile‐based application.

The tool support is based in the ontology Context‐aware Quality Semantic Web Service called (CxQWS). At the first step, services are defined as a set of semantic metadata, reflecting service requirements and QoS parameters. At the second step, services with a semantic contextual metadata are elaborated. Such a procedure ensures that the selection decisions should be based on the semantic quality representation of the created services. The SELETOR tool results suggest that the level of intelligent method use continue to be high flexibility in World Tourism organisations.

The tourism services in a mobile environment have a critical role in creating tourist satisfaction. They are neither a uniform group, nor able to give consistently high service quality. Indeed they have significantly different platforms and a variety of heterogeneous service providers which make the management of service qualities complex.

A significant proposition is to integrate new tourism quality attributes of mobile‐based application, to provide a dynamic adaptation of selection services based on context metadata parameters (user, environment, device, and service provider context) and the management of the heterogeneity of service needs, of mobile devices capacities and their various communication protocols (GPRS, WIFI, Bluetooth, etc.) as well as the media variety (sound, video, text and image), possibly reflecting the decreased time responses and the increased visibility of standard services management methods.

The paper proposes SELECTOR, a dynamic service selection tool based on CxQWS ontology, defined as set of semantic metadata, which context and QoS parameters. The tool is based on semantic services and offer architecture, with three layers (semantic query, management and web services). The most innovative characteristic of the tool is that it profits from the potential of semantic representation techniques to express high level explicit constraints, while they may be useful to guide the selection and adaptation process. This tool provides low adaptation effort, e.g. takes into account all the heterogeneous services as its various communication protocols (GSM, 3G, Bluetooth, etc.) as consequences of self‐selection for dynamic context evolution guided by the adaptation policies.

The purpose of this paper is to present a supervised adaptation platform for applications‐based components.

The platform is designed using a model based top‐down approach. The authors use UML diagrams and particularly scenarios and activity diagrams.

The CSC (component, service and connector) platform is based on a component/service model that allows adaptation of component‐based applications and uses service‐oriented architecture for providing adaptation services to be embedded in adaptation connectors.

The paper proposes CSC, a self‐adaptation platform based on MMSA, to describe software architectures for multimedia‐oriented application and providing adaptation capabilities. The platform is based on services and offer architecture, with three layers particularly adapted to adaptation of multimedia flow (types, formats, properties) and which allows solving the heterogeneity problems of components.

In Flanders, the subventions in the cultural sector are mainly divided and decided upon within the framework of the Arts Decree. Within this policy framework, art organizations may choose in their funding applications for “participation” as one of the five possible functions to describe their artistic and cultural practices. However, questions need to be raised about the different interpretations of the notion of participation within this policy framework. The growing trend of evidence-based policy-making implies that participation risks to become a “target” that needs to be achieved instrumentally, which paradoxically ignores the fact that participatory practices within culture and the arts are very often diverse, multi-layered and context-specific practices. Starting from this paradox, the purpose of this paper is to explore how the current policy framework is translated into different “participatory” art practices by art organizations and specifically how cultural practitioners themselves conceptualize it.

In this paper, the authors discuss the results of a qualitative research based on semi-structured interviews with cultural practitioners about how they grapple with the notion of participation within their organizations and practices.

The results clearly show that practitioners use micro-politics of resistance to deal with different, and often conflicting, conceptualizations of participation in relation to this cultural policy framework.

The implications of the findings are vital for the discussion about cultural policy. These micro-politics of resistance do not only have an impact on the development of individual participatory art practices but also on the broader participatory arts landscape and on how the function of participation is perceived within the renewed policy framework.

The original contribution of this paper is to explore the perspective of practitioners in cultural organizations about the function of participation in the Arts Decree in Flanders and specifically how the notion of participation is operationalized in their practices in relation to this cultural policy framework.

The purpose of this paper is to investigate the impacts of peripheral service quality on football match spectators’ emotions and behavioural intention.

Data were obtained from a survey of 342 spectators of professional league football in Malaysia and analysed using the partial least squares technique.

The results illustrated the significant role of both pleasant and unpleasant emotions in forming spectators’ behavioural intentions. Furthermore, they demonstrated that the drivers of pleasant and unpleasant emotions are different. While entertainment, electronic devices and stadium announcers have positive effects on pleasant emotion, facilities and electronic devices have negative effects on unpleasant emotion. Entertainment, electronic devices and stadium announcers have indirect effects on behavioural intentions through pleasant emotions. Unpleasant emotions mediated the effects of facilities and electronic devices on behavioural intentions.

The findings of this study suggest that football marketers must understand the crucial role of peripheral service quality and spectators’ emotions. Through stimulating pleasant emotions in spectators and preventing unpleasant emotions from arising, football marketers can ensure that these spectators will attend football stadiums.

This paper aims to present a systematic literature review and bibliometric analysis of research papers published on chat generative pre-trained transformer (ChatGPT), an OpenAI-developed large-scale generative language model. The study’s objective is to provide a comprehensive assessment of the present status of research on ChatGPT and identify current trends and themes in the literature.

A total of 328 research article data was extracted from Scopus for bibliometric analysis, to investigate publishing trends, productive countries and keyword analysis around the topic and 34 relevant research publications were selected for an in-depth systematic literature review.

The findings indicate that ChatGPT research is still in its early stages, with the current emphasis on applications such as natural language processing and understanding, dialogue systems, speech processing and recognition, learning systems, chatbots and response generation. The USA is at the forefront of publishing on this topic and new keywords, e.g. “patient care”, “medical”, “higher education” and so on are emerging themes around the topic.

These findings underscore the importance of ongoing research and development to address these limitations and ensure that ChatGPT is used responsibly and ethically. While systematic review research on ChatGPT heralds exciting opportunities, it also demands a careful understanding of its nuances to harness its potential effectively.

Overall, this study provides a valuable resource for researchers and practitioners interested in ChatGPT at this early stage and helps to identify the grey areas around this topic.