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XML Schema is used to define schema of XML documents that have become standards for data exchange in various Web-based information applications. The main problem of XML Schema is that it emphasizes syntax and format rather than semantics and knowledge representation. Hence, even though having the advantage of describing the structure and constraining the contents of XML documents, XML Schema lacks the computer-interpretability to support knowledge representation for existing information systems. The purpose of this study is to propose role-mapping annotations for XML Schema (RMAXS) to integrate Semantic Web with XML Schema, which allows the facilitation interoperability between adjoining layers of the Semantic Web stack.

The XML, XML Schema, ontology, and rule can be completely integrated into a multi-layered intelligent framework (MIF) for XML-based applications in the current web environment. This work presents a semantic-role-mapping intelligent system, called SRMIS, based on the MIF. SRMIS consists of XML-based document repository, search engine, inference engine and transformation engine, which provides different approaches to present the various metadata and knowledge representations.

The traditional Semantic Web stack has three gaps between adjoining layers. The first gap, between the XML and XML Schema layers can be bridged with an XMLSchema-instance mechanism. The third gap, between the ontology and rule layers can be connected by building rules on top of ontologies. This study proposes RMAXS to couple the second gap, between the XML schema and ontology layers. The proposed multi-layered intelligent framework (MIF) adopts these coupling technologies to facilitate interoperability between adjoining layers. Therefore, the XML, XML Schema, ontology, and rule can be completely integrated into the MIF for intelligent applications in the web environment.

To demonstrate the SRMIS applications, this work implements a prototype that helps researchers to find interested papers.

This work presents a semantic-role-mapping intelligent system, called SRMIS, based on the MIF. SRMIS consists of XML-based document repository, search engine, inference engine and transformation engine, which provides different approaches to present the various metadata and knowledge representations. The proposed SRMIS can be applied in various application domains.

This research aimed to examine the role of cloud infrastructure capabilities of tourism small and medium-sized enterprises (SMEs) in the tourism supply chain, increasing the online consumption value of tourists.

This study uses stratified random sampling. A value model was formulated, and the study distributed 2,000 surveys; 412 valid responses were received and analyzed using the structural equation modeling approach.

The cloud-based architecture provides tourism SMEs a competitive advantage in the dynamic tourism market and the ability to develop next-generation system capabilities while providing tourism SMEs with a new application foundation to adapt to the ever-changing tourism market.

For tourism SEMs, the cloud allows adjusting strategies and procedures for tourism supply chain management; this agility enables tourism SMEs to anticipate changes in the travel market and respond to changing consumer demands in the tourism industry.

This study aims to investigate tourists’ impressions of the smart destinations model from the socio-technical systems and the technology–organization–environment (TOE) perspectives. Specifically, it aims to explore how information source credibility and cloud infrastructure influence tourists’ use of intelligent technology.

This measurement development is based on prior literature; after being evaluated for face and content validity, the authors used random sampling to collect data and conducted a field survey of tourists through Taoyuan Airport and using the airport MRT between December 2022 and March 2023. After confirming that tourists knew the destination information and had experience using travel-related mobile applications to plan their itinerary, the authors further invited tourists to participate in the survey, and 512 valid questionnaires were analyzed by the structural equation modeling approach.

The finding pointed out that source credibility and intelligent technology were innovative technologies that benefitted tourists, as were mobile travel planning apps, which created a relational context based on interests and activities from the socio-technical and TOE perspectives.

Technological innovation is closely related to the development of smart cities; tourists who used travel itineraries successfully understood travel-related actions and significantly had more positive affective images of the city.

As the application of gamification is gaining great attention and has grown increasingly, thousands of these applications can be easily obtained from mobile phone stores, thus causing intensified competition and discontinuance of use accordingly. Besides, though understanding what factors influence the discontinuance of use of information systems (ISs) is critical for theoretical as well as practical reasons, studies pertaining to the saliency of the final phase, termination of an IS, are still limited. As such, the purpose of this paper is to propose a holistic view to fulfill the above-mentioned research gaps based on the expectation-confirmation model with other salient factors such regret, habit and gamification app values.

The context of a fitness gamification app is investigated. A total of 210 valid responses were received, and structural equation modeling was applied for data analysis.

The findings of this paper are as follows: among all factors influencing discontinuance intention, regret is the strongest, habit is second and gamification is third; among all factors affecting user satisfaction, gamification app value is the strongest, confirmation is second, perceived usefulness (PU) and perceived ease of use are third and regret is the last one; for factors influencing users’ habits, satisfaction is the strongest, following by PU and frequency of prior use; confirmation negatively influences the degree of regret; and confirmation positively influences PU.

This study highlights the important determinants influencing users’ discontinuance intentions in the context of gamification apps by incorporating two overlooked factors, regret and habit. Besides, this study suggests that app designers can not only increase user’s perceived value through external cooperation with other alternatives, but can be through internal enhancement with diverse services development as well.

This study examines how customer-linking capabilities, the flexibility of back-end management systems, strategic agility and the perceived absorptive capacity of e-commerce influence the organizational performance of online sellers.

A performance model based on the adaptive structuration theory was employed to test the hypotheses using structural equation modeling (SEM) on a dataset of 325 samples with acceptable responses.

The results reveal that the customer-linking capability and flexibility of back-end management systems, strategic agility and assimilation of e-commerce activity significantly influence organizational performance in a virtual environment.

The agility of online sellers is becoming increasingly important, and from the perspective of adaptive structuration theory, back-end management systems have been built to manage buyer orders for online sellers.

Customers who engage in impulsive online shopping make immediate, unplanned and ill-thought-out purchases online. The purpose of this paper is to present a model to illustrate how website quality (moderated by hedonic value) influences impulsive shopping behaviors in the context of online tourism.

The model and hypotheses presented here were tested by structural equation modeling. Empirical data were collected by conducting a questionnaire survey, in total, 3,000 invitation messages were mailed to the members of the two travel communities (1,500 invitation messages for each one), of which, 402 were returned completed (a return rate of 13.4 percent).

Visually appealing websites are more likely to attract customer attention and illicit pleasurable emotional responses. In addition, effective tourism websites also maintain good service quality and ensure accuracy of information. Finally, good functional benefits can help customers reduce the time and effort spent searching for a specific service and can also serve as a stimulus triggering impulse buying.

This study used a reliable multidimensional measure of factors that influence the relational benefit of initiators and buyers to help elucidate which factors encourage impulsive online shopping. From a theoretical perspective, the authors determined that website quality is positively associated with functional benefits, and thereby influences impulsive shopping behaviors; in addition, the functional benefits conferred by websites have a strong and direct influence on impulsive shopping behavior. However, this effect is moderated by hedonic value.

Online tourism retailers should continually seek to enhance this function because it is the primary motivation behind customer use of online shopping websites. Effective tourism websites also maintain good service quality and ensure accuracy of information. Finally, navigation systems should be designed to meet the needs of new users, for example by offering help pages that address a variety of topics. Therefore, tourism websites should feature an adequate number of images, a colorful design, and well-described services and products.

In recent years, the popularity of online shopping websites has continued to rise. In seeking to elucidate impulsive online shopping behaviors, this study focused on online-to-offline applications, the uses-and-gratifications perspective and service-dominant logic. The authors also discussed the important influence of website quality on impulse buying and how this is moderated by hedonic value. The research model presented in this study provides a reliable instrument to operationalize key constructs in the analysis of impulsive shopping behavior and has important implications for the online tourism industry.

Bridging indistinct relationships and online loyalty has become an important strategy for online interest-based communities' operators and firms. The objective of this study is to draw on the elaboration likelihood model (ELM) to advance our understanding of the influences on the development of relationship quality and the consequent impact on members' loyalty to online communities.

To test the hypotheses the authors identified and selected four interest-based online communities in Taiwan. The online survey yielded 331 completed questionnaires from members of interest-based online communities and the authors analysed the results using the structural equation modelling approach.

The findings show that argument quality and source credibility positively affect members' perceived relationship quality, which has a positive and significant effect on behavioural loyalty, and personal relevance and user expertise positively moderate the relationship between argument quality and relationship quality and negatively moderate the relationship between source credibility and relationship quality.

While this study has produced meaningful insights for investigating the informational processing influences on relationship quality and subsequent behavioural loyalty through the ELM perspective, the samples may not allow researchers to draw more general conclusions across different types of community contexts. The data were collected only from interest-based communities. Examining this model across different types of online communities, such as transaction-, relationship-, or fantasy-based ones, would help establish the generalisability of these results beyond the current context.

The present study can help managers of online communities recognise the differential effects of these information processes across a user population and customise optimal strategies that best fit the unique characteristics of their community members. For making argument quality more convincing, Toulmin's (1958) model of argumentation could serve as an appropriate mechanism. Moreover it is crucial to provide various indicators of source credibility for information content.

The paper addresses a gap in the research by using ELM to better understand the influences on the development of relationship quality and the impact on members' loyalty. Understanding these dynamics is critical since it: enriches the relationship marketing and information management literature by addressing the role of information content in the management and success of online communities; helps online community managers customise optimal strategies for their members, thereby fostering members' loyalty and their platform's competitive advantage; and illuminates two influential processes that can achieve the desired attitude change in the context of online communities.