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Wellness tourism is growing in importance as increasing numbers of travelers place a priority on their health and well-being by traveling. This study examined the relationships between wellness tourism destination attributes, perceived quality, perceived mental health, eudaimonic well-being, overall satisfaction and behavioral loyalty to corroborate a model explaining wellness tourism destination loyalty in Thailand.

The conceptual model of this study was examined using a survey research design. The survey questionnaire was distributed to Chinese tourists who had previously traveled to Thailand and engaged in wellness tourism activities during their trip.

The findings revealed that healthful food choices, core facilities and staff service significantly influenced perceived quality. This perceived quality was a crucial factor in determining perceived mental health, which in turn impacted eudaimonic well-being. Overall satisfaction was directly influenced by perceived quality, perceived mental health and eudaimonic well-being. Additionally, perceived quality had a direct effect on behavioral loyalty.

With the growing global interest in wellness and travel, this study offers valuable insights for tourism marketers in Thailand to enhance their wellness tourism strategies. Tourism organizations should emphasize the quality of food, facilities and staff service to attract wellness-oriented travelers.

This study highlights the interconnectedness of perceived quality, good mental health and eudaimonic well-being. High-quality experiences contribute to improved mental health and in turn enhance eudaimonic well-being.

To examine objective measures of economic job quality for a broad sample of workers in the US spectator sports industry and compare job quality in spectator sports to other industries.

Logistic and linear regressions are performed on American Community Survey (ACS) data collected from 2015 to 2019. Earnings and employer provision of health insurance are the outcomes.

Earnings and employer-provided health insurance are lower in the spectator sports industry than in other industries after controlling for relevant factors. Differences are partly explained by the occupational composition of the industry and the higher incidence of part-time work. Many but not all occupational groups have lower earnings and less employer-provided health insurance in sports.

ACS data only reports one job, so the results likely underestimate the prevalence of part-time work in the US spectator sports industry. The study finds support for a micro-class occupational composition effect and a pulsating organization effect. Some support is also found for a sports industry compensating wage differential, but the effect is not industry wide, counter to some depictions.

This is the first study to examine objective, economic measures of job quality across all occupational sub-groups in the sports industry. This is the first study to propose theoretical explanations for poor economic job quality in sport.

The aim of this paper is to investigate the development of the quality movement in Sweden since the mid-20th century. The authors are convinced that a summary of the Swedish quality journey so far will offer important lessons for further quality improvements in Sweden and elsewhere.

The authors study how the quality movement has been included in the industrial agenda and how it has been adopted in student curricula and in research. The authors have a focus on how business leaders have learnt, adopted, adapted and innovated with respect to quality development. often in collaboration with academia.

Although the quality movement has fit well with the Swedish culture and that successful corporate leaders have successfully used the specific cultural characteristics there is still a lot to be learnt with respect to the public sector, where the ideas from the quality movement have problem to overcome institutional barriers.

The study is limited to the Swedish context.

There is a serious need to revitalize the public sector by getting leaders and politicians to understand the need for systematic quality improvement.

If future Swedish achievements with respect to healthcare and other social welfare elements are to once again become world-class, the public sector needs to be open-minded and collaborate with the industrial sector and academia to find cost-effective strategies for making quality improvements. However, the private sector must also be alert not to be overtaken by some highly active Asian countries.

Swedish large companies have been very successful in applying quality leadership – however, in the public sector, this has not been the case. Suggestions for improvement are made.

This study aims to identify which types of information quality influence purchase intentions the most in live streaming commerce and to examine the role of network size in this context.

We propose a model to investigate the correlation among the quality of different information in live streaming commerce, consumer trust, network size and purchase intention. An empirical analysis of 505 questionnaires was conducted by constructing a structural equation model.

The empirical findings indicate that information quality can directly enhance purchase intention and exert an indirect influence through the mediating factors of trust in products and streamers. Perceived network size positively moderates the relationship between information quality and trust in products. Of the five types of information, the quality of bullet-screen comments information is most important to consumers.

This study represents the first systematic analysis of how the quality of multiple types of information in live streaming commerce influences consumer trust and purchase intention, integrated within a unified framework. It uniquely introduces network size as a moderating variable, offering both theoretical insights and practical guidance for balancing information quality with network size in live streaming commerce environments.

The purpose of this study is to present a methodical procedure on how to prepare event logs and analyse them through process mining, statistics and visualisations. The aim is to derive roots and patterns of quality deviations and non-conforming finished products as well as best practice facilitating employee training in the food processing industry. Thereby, a key focus is on recognising tacit knowledge hidden in event logs to improve quality processes.

This study applied process mining to detect root causes of quality deviations in operational process of food production. In addition, a data-ecosystem was developed which illustrates a continuous improvement feedback loop and serves as a role model for other applications in the food processing industry. The approach was applied to a real-case study in the processed cheese industry.

The findings revealed practical and conceptional contributions which can be used to continuously improve quality management (QM) in food processing. Thereby, the developed data-ecosystem supports production and QM in the decision-making processes. The findings of the analysis are a valuable basis to enhance operational processes, aiming to prevent quality deviations and non-conforming finished products.

Process mining is still rarely used in the food industry. Thereby, the proposed method helps to identify tacit knowledge in the food processing industry, which was shown by the framework for the preparation of event logs and the data ecosystem.

Food quality and safety issues have always been imperative topics discussed by people. The anti-tampering of blockchain technology and the transparency of information make it possible to improve food traceability and safety quality. How to effectively apply blockchain traceability technology to food safety has great research significance for improving food safety and consumer quality trust.

The paper aims to analyze the differences in product quality levels and market participants’ profits before and after the use of blockchain-driven traceability technology in the food agricultural product supply chain (SC) in the dynamic game frameworks of supplier-led and retailer-led modes, respectively, and explores the willingness, social welfare and consumer surplus of each member of the agricultural product SC to participate in the blockchain. Besides, We investigate the SC performance improvement with the mechanism of central centralized decision-making and revenue-sharing contract, compared to the SC performance in dynamic games.

The results are obtained as follow: The adoption of blockchain traceability technology can help improve the quality of food agricultural products, consumer surplus and social welfare, but the application and popularization of technology is hindered by traceability technology installment costs. Compared with the supplier leadership model, retailer-led food quality level, customer surplus and social welfare are higher.

How to effectively apply blockchain traceability technology to food safety has great research significance for improving food safety and consumer quality trust.

Food quality and safety issues have always been hot topics discussed by people. The anti-tampering of blockchain technology and the transparency of information make it possible to improve food traceability and safety quality.

The research results enrich the theories related to food safety and quality, and provide a valuable reference for food enterprises involved in the decision-making exploration of blockchain technology.

Based on the characteristics of blockchain technology, the demand function is adjusted and the product loss risk of channel members is transferred through a Stackelberg game SC composed of agricultural products suppliers and retailers.

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  We introduce two features of blockchain: quality trust and product information tracking.

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  The willingness of each member of the supply chain to use blockchain for product traceability was explored.

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  The overall traceability effect of the retailer-led blockchain is better than that of the manufacturer-led blockchain.

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  The cost of blockchain technology is a barrier to its adoption.

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  Blockchain brings higher consumer surplus and social welfare.

We introduce two features of blockchain: quality trust and product information tracking.

The willingness of each member of the supply chain to use blockchain for product traceability was explored.

The overall traceability effect of the retailer-led blockchain is better than that of the manufacturer-led blockchain.

The cost of blockchain technology is a barrier to its adoption.

Blockchain brings higher consumer surplus and social welfare.

This paper aims to examine how the allocation of audit hours to the year-round procedures, based on the risk of material misstatements in financial statements, impacts audit quality.

Using a data set on audit hours spent on year-round and year-end procedures, the authors build an empirical model for testing the effectiveness of year-round auditing of Korean public firms during the period of 2014–2018.

The initial tests do not show that proportionate increases in year-round procedures increase audit quality. However, after the authors control for the risk of material misstatements, the authors find that proportionate increases in year-round audit hours generally increase audit quality, except for high-risk firms where audit quality increases only as year-end hours proportionately increase. For high-risk firms, the results suggest that increases in year-round audit procedures occur at the cost of the essential year-end work. Similarly, except for high-risk firms, the authors find that the allocation of more audit effort to year-round procedures improves audit efficiency.

To the best of the authors’ knowledge, this study provides some of the first empirical evidence showing how a risk-based approach to allocating audit effort over the duration of an audit can impact audit quality and efficiency. Regulatory bodies, such as the International Auditing and Assurance Standards Board and Public Company Accounting Oversight Board, which consider the proper allocation of audit hours as a key audit quality indicator, should find the results useful.

This study investigates the service quality dimensions of hotel resorts in renowned beach destinations of Thailand. It also explores the relationship between review text sentiment expressed in online platforms and the satisfaction ratings provided for those reviews.

The study employs a two-step analysis approach: first, supervised and unsupervised machine learning via support vector machine (SVM) and latent Dirichlet allocation (LDA) are used to identify service quality dimensions, and second, SmartPLS with PROCESS macro is applied to analyze the moderating roles of quality signals and reviewer’s experience on the relationship between sentiment and satisfaction rating. The dataset comprises 102,179 online reviews from TripAdvisor, focusing on 187 selected hotels rated from 3 to 5 stars.

Eight service quality dimensions were identified, including leisure activities, tangibles and surroundings, reliability, responsiveness, service process, food, empathy and ambience. The study underscores that the service process stands as the sole dimension exhibiting negative sentiment. Furthermore, the analysis revealed a robust positive association between sentiment of review texts and satisfaction, and reviewers’ experience and brand affiliation influenced the relationship between customer sentiment and satisfaction.

Hotel managers should focus efforts on maintaining tangible aspects while enhancing existing service quality level of other dimensions, particularly those related to intangible elements. Independent hotels might implement quality audit to ensure that service quality gaps are monitored.

This study contributes an examination of the moderating roles of quality signals and reviewer’s experience on the relationship between review sentiment and satisfaction rating in online reviews.

This study aims to examine the relationships between quality management, human capital and innovation (both incremental and radical), and social sustainability practices in hospitality. Also considered are the mediating roles of human capital and innovation.

The study considers 365 hotels located in Spain, using a structural equation model based on Partial Least Squares (PLS) analysis.

The findings show that quality management practices, human capital and incremental innovation all have a direct relationship with social sustainability practices. Human capital and incremental innovation partially mediate the relationship between quality management and social sustainability practices. Radical innovation has no impact on social sustainability practices and does not play a mediating role.

This study enriches the literature on social sustainability in hospitality by showing that quality management, human capital and innovation can enhance social sustainability practices. It offers practical insights by understanding key drivers for promoting social sustainability in the hospitality sector.

Prior research in hospitality has not used a mediation model to empirically examine the aforementioned relationships.

The purpose of this paper is to examine the mediating role of e-trust and e-satisfaction in the relationship between e-service quality and e-loyalty in the context of e-government services.

The data were collected via an online questionnaire of Jordanian citizens. The structural equation model based on partial least squares was used to test hypotheses.

The findings showed that e-service quality has a positive and significant effect on e-loyalty. E-service quality has a positive and significant effect on both e-trust and e-satisfaction. E-trust and e-satisfaction have a positive and significant effect on e-loyalty. E-trust has a positive effect on e-satisfaction. Finally, regarding the mediating effect of e-trust and e-satisfaction, e-trust and e-satisfaction partially mediate the relationship between e-service quality and e-loyalty in the context of e-government services, and hence all hypotheses were accepted.

The results of this research aid governmental policymakers in implementing information and communication technology strategies that streamline citizens’ transactions and promote their active engagement in e-government initiatives. Additionally, the government has suggested improving awareness campaigns and providing training for employees to enhance the quality of e-services provided to citizens.