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This study aims to assess the readiness of Islamic Higher Education Institutions (IHEIs) to enter the third wave of education or future quality assurance.

This study used a descriptive quantitative method with observation, documentation, a questionnaire and an interactive model. The sample population included lecturers and quality assurance managers in IHEIs, totaling 129 respondents.

The results showed that IHEIs were prepared to implement future quality assurance to meet individual and societal needs. Furthermore, readiness was also shown in the following matters: Relevance of higher education institution vision, implementation of tripilization learning in higher education institutions, understanding of other cultures (cross-cultural sharing), application of multiple development models and noble values of local wisdom and national culture in tri-dharma.

This study focused on the third wave of education quality assurance in IHEIs in Indonesia. However, the analysis was not conducted in all Indonesian universities as it specifically examined the readiness for implementing future quality assurance.

Policymakers should follow up on the readiness for implementing future quality assurance as a form of continuous improvement in managing the quality of IHEIs.

Most publications of quality assurance focused on compliance-oriented issues. However, this study aimed to fill the literature gaps and discuss the future quality assurance of IHEIs in Indonesia. In this context, future quality assurance was also known to guide IHEIs in rendering education relevant to the future needs of generations (graduates).

The purpose of the study is to examine how risk factors contribute to the occurrence of defects in a process. By analyzing these risk factors in relation to process quality, the study aims to help organizations prioritize their resources and efforts toward addressing the most significant risks. These challenges, integrated with the emerging concept of Quality 4.0, necessitate a comprehensive risk assessment technique.

Fuzzy logic integrated with an analytic network process is used in the process failure mode and effects analysis for conducting risk identification and assessment under uncertainty. Through a mathematical model, the linkage of risk with Six Sigma is established and, finally, a value–risk matrix is developed for illustrating and analysing risk impact on process quality.

A case study on fused filament fabrication demonstrates the proposed methodology’s applicability. The results show its effectiveness in assessing risk factors’ impact on Six Sigma metrics: defects per million opportunities/sigma level.

By integrating qualitative assessments and leveraging available data, this approach enables a more comprehensive understanding of risks and their utilization for an organization’s quality improvement initiatives.

This approach establishes a risk-centric Six Sigma assessment method in accordance with the requirement of ISO 9001:2015 and in the context of Quality 4.0.

The purpose of this study is to examine the role of wine involvement in moderating the effect of winery service quality on loyalty toward small family wineries.

This study used a structured questionnaire. The survey was distributed to wine tourists who visited small family wineries located in Crete, Greece and a total of 216 usable questionnaires were collected for the study. To analyze the data, the study used partial least squares structural equation modeling.

The results reveal that wine involvement moderates the effects of winery service quality on wine tourists’ loyalty. Specifically, staff behavior affects the loyalty toward wine tourists with low involvement more significantly compared to the wine tourists with high wine involvement. On the other hand, the quality of wine tastings affects the loyalty of wine tourists with high wine involvement more significantly in contrast with the wine tourists with low wine involvement.

Findings suggest that winery operators need to take into consideration wine involvement among wine tourists when they develop a winery service strategy. Operators of small family wineries can provide more customized, diverse and quality wine tastings to wine tourists with high wine involvement while prioritizing winery staff’s behavior and hospitality to those wine tourists with low wine involvement.

This study contributes to extant wine tourism literature by adding the effects of wine involvement on wine tourists’ loyalty toward the winery, and particularly focusing on small, family wineries.

Awarding contracts based solely on the lowest price is unsuitable for every project. Consequently, most procurement systems in developed countries have progressed to the multicriteria selection practices (MSPs) for tender evaluation. MSPs consider a range of quality measures, such as completion time, life cycle cost, functional characteristics, environmental impact and innovation, alongside bid price. This study examines the prevailing MSPs in Sri Lankan public tender evaluations to enhance the effectiveness of the local tender evaluation process.

A desk study approach was employed to collect bidding documents, resulting in the identification of 66 documents. A systematic screening process was then applied to identify those bidding documents that incorporated MSPs. Subsequently, content analysis was conducted to determine the common features of the functions used in MSPs.

The study identified six primary functions related to MSPs incorporated in the bidding documents to procure building and substation projects. Three functions follow the price-to-quality method, while the remaining three follow the quality-to-price method. Among these identified functions, four functions employ objective evaluation criteria, such as thickness, capacity and operational loss. The other two functions utilize subjective evaluation criteria, such as the project’s design and technical specifications. Contract awarding will be based on either the highest score or the lowest bid, depending on the function type.

This study’s originality lies in exploring MSPs in the Sri Lankan public tender evaluation process and in disclosing their characteristics to promote the MSPs in Sri Lanka and developing countries.

Pre-pandemic research demonstrated the challenges of the nursing workforce and the provision of quality of patient care. Such challenges have been significantly intensified during the COVID-19 pandemic, not least in the workplace and fear of staff catching and transmitting COVID-19. We draw on conservation of resources (COR) theory to examine the impact of the fear of COVID-19 on nurses and the role of well-being-HRM (WBHRM) in negating the fear of COVID-19 and its impact on job stress and perceived quality of patient care.

We collected data from 260 nurses (treating COVID-19 patients) employed in US hospitals across two-waves. Data were analyzed using mediated regression and moderated mediation.

The results indicated that when nurses report higher levels of fear of COVID-19, this translates into higher levels of nursing job stress. This, in turn, reduces nurses’ perceptions of quality of patient care they can provide. As previous research has found, decreased perceptions of quality of patient care is a significant factor driving intentions to leave the profession. The results demonstrated that WBHRM practices buffer the negative impact of fear of COVID-19 on job stress, and in turn, the perceived quality of patient care.

Our paper contributes to new knowledge for healthcare managers on WBHRM bundles and their efficacy in buffering the effects of fear on job stress and quality of patient care. We contribute new knowledge on fear at work and how to manage employees’ fear through WBHRM practices.

The purpose of this paper is to test if the digital economy improves the quality of life of our residents. Furthermore, if this finding is confirmed, what would be the mechanism behind its effect? Does the impact of the digital economy on quality of life vary according to its level of development?

A comprehensive index of the digital economy, income gap and quality of life was constructed empirically based on data from 220 cities in China from 2011–2020. A multi-dimensional empirical analysis was conducted in this paper.

The analysis of the pathways of action shows that narrowing the income gap is an important mechanism through which the digital economy actively contributes to the quality of life. The results of the threshold model show that the “marginal effect” of the digital economy on quality of life is non-linear and increasing. The results show that after a series of robustness tests, including instrumental variables, the digital economy still significantly enhances people’s quality of life.

This paper reveals the intrinsic link between the digital economy and quality of life and provides a theoretical basis for further improving people’s well-being.

Encouraging the development of the digital economy is a useful way to improve the quality of life by narrowing the income gap.

Data analysis of the digital economy from 2011–2020 in China to get an insight into what would be the mechanism behind the digital economy improving the quality of life of our residents.

The purpose of this research is to investigate the link between external audit quality and integrated reporting (IR) quality in the Jordanian market, a developing market. Furthermore, the research model considers the mediating effect of earnings management practices and the moderating effect of board gender diversity. As a result, it intends to provide further empirical evidence in this area.

This research investigates its model using data from Jordanian services companies listed on the Amman Stock Exchange (ASE) during the period 2013–2022. With 430 company-year observations, the current research’s sample includes all companies in the research population for which complete data were available during the period under investigation. Data relevant to the research setting were obtained from annual disclosures and the ASE's database.

The findings of this research show that audit firm size and audit firm specialty have a positive influence on IR quality, but audit firm tenure does not. External audit quality (as proxied by the size, specialty and turnover of the audit firm) had a negative impact on earnings management practices, while earnings management practices had a negative impact on IR quality. Additionally, the findings reveal that earnings management practices completely mediate the relationship between two external audit quality proxies (audit firm size and audit firm specialty) and IR quality. Furthermore, in terms of the moderating impact of board gender diversity, it is obvious that board gender diversity favorably moderates the relationships between all external audit quality proxies and IR quality.

Using agency theory and stakeholder theory, this investigation fills a gap in previous literature by adding scientific explanations and empirical evidence from the Jordanian market, a developing market, in the context of the impact of audit quality on IR quality, mediated by earnings management and moderated by board gender diversity.

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.

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.