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The purpose of this study is to propose an integrated post-adoption model based on expectation-confirmation model (ECM) and flow theory to examine whether gamification and interface design aesthetics as antecedents to students' beliefs can affect their continuance intention of massive open online courses (MOOCs) and perceived impact on learning.

Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed in the campus, and 318 (53.0%) useable questionnaires were analyzed using structural equation modeling in this study.

This study's results verified that students' perceived gamification and interface design aesthetics of MOOCs positively affected their perceived usefulness, confirmation and flow experience elicited by MOOCs, and these in turn directly or indirectly led to their satisfaction, continuance intention of MOOCs and perceived impact on learning. Essentially, the results strongly support the research model with all hypothesized links being significant.

It should be particularly noticed that this study contributes to the application of capturing both ECM and flow experience (i.e. an intrinsic motivator) for completely explaining students' perceived gamification and interface design aesthetics as external variables to their continuance intention of MOOCs and perceived impact on learning, and this study's empirical evidence can further shed light on the possible formulation of MOOCs success.

The purpose of this study was to investigate relationships among the experiential value of hotel apps, the cognitive and affective evaluation of hotel apps users, hotel apps users’ satisfaction and their endorsement for the hotel apps. Specifically, this study examined the relationships that enhance hotel guests’ experiences through hotel apps.

The measurement items were developed through extensive literature review. This study used a web-based survey to test an integrated model of the experiential value. With a total of 320 usable samples, partial least squares structural equation modeling was carried out to identify key “driver” constructs and validate the proposed model.

A significant relationship was found in the playfulness of hotel apps and hotel guests’ cognitive and affective evaluations of the hotel apps, which positively influence hotel guests’ satisfaction and their endorsement for the hotel apps. Hotel apps should create fun and entertainment features in the hotel apps so that the users of hotel apps can be enjoyable during their usage. In addition, providing hotel apps users with time saving and easy use of the hotel apps can affect their satisfaction and endorsement for the hotel apps.

This study confirmed the positive links among hotel apps users’ experiential value, their cognitive and affective evaluation of the hotel apps, their satisfaction of using the hotel apps and their endorsement for the hotel apps. This study also revealed that hotel apps can be hotels’ effective communication tool that enhances existing and potential customers’ overall experiences.

项关于体验价值的综合模型

摘要

本论文旨在研究关于酒店APP体验价值, 对酒店APP用户的认知和情感评估, 用户满意度以及用户支持之间的关系。具体而言, 本研究探索了如何通过酒店手机APP使用来提高用户体验的理论关系。

测量条目通过详尽的文献综述来产生。本研究运用了网络调研来测量体验价值的一项综合模型。由320项有效样本, 偏最小二乘法结构方程建模（PLS-SEM）来鉴定关键“驱动”构象以及验证提出的模型。

研究发现酒店APP的娱乐性对顾客的APP的认知和情感评估都起到了显著性作用, 进而对顾客满意度和酒店APP支持度产生正面影响。研究建议酒店APP创造有趣以及娱乐产品功能, 从而让酒店APP用户从使用中获得乐趣。此外, 为酒店APP用户提供省时方便的服务可以影响用户满意度和对酒店APP的支持。

本研究验证了酒店APP用户体验价值, 对酒店APP的认知和情感评估, 用户对使用酒店APP的满意程度, 以及对酒店APP支持的正相关性。本研究进而发现酒店APP可以作为提升酒店现有和未来用户全面体验的有效工具.

The purpose of this study is to propose the research model integrating the expectation-confirmation model with the views of learning engagement (LE) and extending DeLone and McLean information systems (IS) success model to examine whether quality determinants as antecedents to students' beliefs can influence students' continuance intention of massive open online courses (MOOCs).

Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed, and 363 (60.5%) useable questionnaires were analyzed using structural equation modeling in this study.

This study proved that students' perceived knowledge quality, system quality, interface design quality, learner–instructor interaction quality, and collaboration quality all positively caused students' perceived usefulness, confirmation and LE in MOOCs, which jointly explained students' satisfaction with MOOCs and subsequently resulted in students' continuance intention of MOOCs.

This study fully evaluates IS-related and interaction-related quality determinants via an understanding of students' state of LE in explaining students' continuance intention of MOOCs that is difficult to expound with only their utilitarian perception of MOOCs. Hence, this study contributes to deep insights into an all-round quality evaluation in the field of MOOCs continuance intention and takes extrinsic and intrinsic motivators into account in the theoretical development of MOOCs continuance intention to acquire a more comprehensive and robust analysis.

While prior studies have explored the relationship between visual appeal and purchasing decisions, the role of bookmarking has largely been underemphasized. This research aims to address this gap by focusing on the impact of bookmarking on consumer behavior, guided by the cognitive load theory and dual-system theory.

The authors executed a controlled experiment and analyzed the results using a two-stage regression method that linked visual appeal, bookmarking and purchase intent. Further empirical analysis was conducted to authenticate the authors' proposed model, utilizing real-world mobile commerce data from a clothing company.

This study's findings suggest that visual appeal influences purchase intent primarily through the full mediation of bookmarking, rather than exerting a direct influence. Furthermore, an increase in colorfulness corresponds positively with visual appeal, while visual complexity exhibits an inverted U-shaped relationship with it.

This study provides novel insights into the choice-set formation process through the theoretical lens of dual-system theory. Additionally, the authors employed an image processing technique to quantify a product's visual appeal as depicted in a photograph. This study also incorporates a comprehensive econometric analysis to connect the objective aspects of visual appeal with subjective responses.

The aim of this article is to offer readers several useful paths of thought on a “deepened” and “widened” approach to the notion of interface, taking into account several types of stakeholder in the exchange.

Three case studies are developed and organised around those two dimensions which seem essential in interface management.

Since the very essence of service is linked to relations and exchanges, it seems important that the range of stakeholders directly or indirectly influencing service processes should be taken into consideration.

Owing to the multiplicity and complexity of the ties that connect them to the service provider or to clients, the management of these groups is often difficult, involving internal and external cultural considerations. However, a well carried out analysis of these involved parties and ties constitutes a major source of innovation and differentiation on the market of intangibles.

The purpose of this study is to propose a method of measuring service quality as well as suggesting to detect customer complaints through analysis of customer online reviews of mobile bank, which is unstructured data.

This study uses text mining approach for customer online reviews analysis. The research procedure includes: (1) extracting users' reviews for Kakao Mobile Bank, (2) pre-processing of the extracted review data, (3) analyzing the sentiment of each review, (4) measuring the service quality score of each dimension by analyzing keyword frequency and network for each polarity, (5) evaluating total score for mobile bank service quality, and (6) detecting customer complaints on online reviews.

There are some findings. First, from the customer's point of view, it was possible to see which factors are important among the various dimensions of service quality and which factors should be managed well in mobile banking setting. Second, by periodically finding customer complaints, service failures can be prevented early, and service quality and customer satisfaction can be improved.

From a practical point of view, mobile bank managers should pay more attention to the service quality dimensions of practicality and enjoyment. In addition, the results mean that the app design and aesthetics with the most negative reviews should be reviewed from the user's perspective rather than from the company's point of view. Second, it is possible for them to establish a systematic complaint management system that can prevent service failure in advance by detecting customer complaints early. Third, it is possible for them to make quick decisions regarding service quality with the help of real-time customer response through dashboard construction.

This paper is a pioneer study measuring service quality with sentiment analysis, one of the text mining applications, using customers' reviews of a mobile bank.

Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences.

A mixed-method approach was used, and a total of 293 valid responses were collected through a discrete choice experiment approach. Interviews were conducted for additional analyses to explore the detailed explanations.

The utility model demonstrated that the image’s saturation was the most critical attribute perceived by the respondents, followed by caption description style, hue and brightness.

This is one of the first studies to investigate the display of attributes on a digital accommodation platform by exploring potential customers’ stated preferences. This study focuses explicitly on images and captions illustrated on the home page of an accommodation booking platform. Detailed image investigation is also a new research area in sharing economy-related research.

The purpose of this study is to propose a sustainable quality assessment approach (model) for the e-learning systems keeping software perspective under consideration. E-learning is becoming mainstream due to its accessibility, state-of-the-art learning, training ease and cost effectiveness. However, the poor quality of e-learning systems is one of the major causes of several failures reported. Moreover, this arena lacks well-defined quality assessment measures. Hence, it is quite difficult to measure the overall quality of an e-learning system effectively.

A pragmatic mixed-model philosophy was adopted for this study. A systematic literature review was performed to identify existing e-learning quality models and frameworks. Semi-structured interviews were conducted with e-learning experts following empirical investigations to identify the crucial quality characteristics of e-learning systems. Various statistical tests like principal component analysis, logistic regression, chi-square and analysis of means were applied to analyze the empirical data. These led to an adequate set of quality indicators that can be used by higher education institutions to assure the quality of e-learning systems.

A sustainable quality assessment model for the information delivery in e-learning systems in software perspective has been proposed by exploring the state-of-the-art quality assessment/evaluation models and frameworks proposed for the e-learning systems. The proposed model can be used to assess and improve the process of information discovery and delivery of e-learning.

The results obtained led to conclude that very limited attention is given to the quality of e-learning tools despite the importance of quality and its effect on e-learning system adoption and promotion. Moreover, the identified models and frameworks do not adequately address quality of e-learning systems from a software perspective.

This study aims to offer an overview of hospitality and tourism research on artificial intelligence (AI) and its impact on the industry. More specifically, this study examines hospitality and tourism AI research trends in hospitality and tourism customer service experience creation and delivery, service failure and recovery, human resources and organizational behavior. Based on the review, this study identifies the challenges and opportunities and provides directions for future studies.

A narrative synthesis approach was used to review the hospitality and tourism research on AI and its impact on various aspects of the industry.

AI and AI applications in customer service experience creation and delivery and its possible effects on employees and organizations are viewed as a double-edged sword. Although the use of AI and AI applications offers various benefits, there are also serious concerns over the ethical use of AI, the replacement of human employees by AI-powered devices, discomfort among customers and employees and trust toward AI.

The paper offers an updated holistic overview of AI and its implications in different facets of the hospitality and tourism industry. Challenges and opportunities are discussed to foster future discussions on the use of AI among scholars and industry professionals.

This study aims to introduce a conceptual framework for service robot (SR) acceptance by customers, employees and policymakers – a framework to help determine corporate decision-making on SR workplace integration.

This study reviews SR adoption literature within the tourism and hospitality industry. These SRs may have some level of artificial intelligence capability and possibly anthropomorphic (e.g. humanoid) or zoomorphic (e.g. animal-like) features, contingent on task and design choices. The study then identifies factors that potentially influence employee and consumer acceptance and experiences of SR, as well as policy and compliance factors and all elements of the corporate decision-making process concerning SR adoption in the hospitality setting.

This paper reviews the obstacles and benefits of SR adoption in the hospitality industry based on employee, consumer and public policy considerations.

SRs are increasingly deployed within hospitality and tourism settings. Future studies should further explore the value-adding functions of SRs implemented in existing hospitality operations.

Hospitality and tourism industry practitioners should integrate the dimensions in the conceptual framework to make fully informed decisions on SR adoption.

To the best of the authors’ knowledge, this is one of the first studies to provide a holistic SR adoption framework offering theoretical and practical implications for ongoing SR research and implementation.