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This study aims to investigate the nexus among environmental, social and governance disclosure quality (ESGDQ), corporate governance (COG) and corporate social responsibility strategy (CSRS) in the context of ASEAN, a developing market. Furthermore, carbon emission (CAE) has been considered as a moderation component for the CSRS–ESGDQ link.

With strict selection criteria, five countries in the ASEAN region (ASEAN-5) were selected as the research sample frame, including Vietnam, Thailand, Malaysia, Indonesia and the Philippines. Using the Thomson Reuters Eikon database, the initial sample included 4,735 listed companies in ASEAN-5. After a rigorous screening process, there were a total of 683 companies in the final sample with the 2018–2022 intervals.

By using maximum likelihood structural equation modeling, the finding indicates that COG and CSRS have a favorable effect on ESGDQ in the ASEAN-5 context. Furthermore, CAE plays an outstanding moderation role in the CSRS–ESGDQ link. The fundamental accounting standards are also identified as having an impact on ESGDQ.

The research points up the dominant role of internal components (i.e. COG, CSRS and CAE) and government factor (i.e. fundamental accounting standards) for the sustainable value (i.e. ESGDQ) of firms in ASEAN-5, a developing market. Thus, firm headers should inspect the performance of these internal components at a crucial interval to enhance their environmental, social and governance (ESG) behaviors and make them more sustainable. Furthermore, governments in ASEAN-5 should pay attention to developing areas that have low CAE and have a favorable influence on national sustainable development goals.

The findings of the research provide some social implications by pointing up important factors influencing sustainability practices, and understanding how ESG practices can be improved in developing countries.

The research enlarges ESG documentation by specifying the influences of internal components and government factor, as well as providing actual proof from developing regions. In addition, this study identifies the effectiveness of CAE as well as its moderating role in this context.

This study aims to explore key questions within the context of Asian countries: How do artificial intelligence (AI) and blockchain adoption in accounting influence enterprise risk management and environmental, social and governance (ESG) performance? What role does enterprise risk management have as a mediator in this relationship? In addition, how does environmental uncertainty shape the interplay between AI and blockchain adoption in accounting, enterprise risk management and ESG performance?

The authors collected data from Thomson Reuters Eikon Datastream, initially targeting the 20 Asian countries with the highest gross domestic product (GDP) per capita. Using stringent selection criteria, the research sample included 22,212 firms from these countries: Bahrain, China, Hong Kong, Indonesia, Israel, Japan, Jordan, Kazakhstan, South Korea, Kuwait, Lebanon, Malaysia, Oman, Qatar, Saudi Arabia, Singapore, Sri Lanka, Thailand, the United Arab Emirates and Vietnam. After a rigorous screening process, the final sample comprised 1,742 firms, representing 17,420 firm-year observations over the 2014–2023 period. This paper applied maximum likelihood structural equation modeling to analyze the data.

The findings reveal that both AI and blockchain adoption in accounting, along with enterprise risk management, positively impact ESG performance in the Asian context. Enterprise risk management serves as a mediating factor between AI and blockchain adoption in accounting and ESG performance. In addition, environmental uncertainty significantly moderates the relationships between AI and blockchain adoption in accounting and enterprise risk management, as well as between enterprise risk management and ESG performance.

This study uncovers the interplay between internal factors – such as AI and blockchain adoption in accounting and enterprise risk management – and external factors, notably environmental uncertainty, in fostering sustainable value for Asian firms. Internal factors enable firms to integrate ESG considerations into their operations, facilitating risk mitigation and enhancing ESG performance. Meanwhile, heightened environmental uncertainty drives the adoption of sustainable practices. Consequently, Asian Governments should prioritize the development of regions characterized by high environmental uncertainty to advance national sustainable development goals and encourage responsible business practices.

This study contributes to the existing literature by uncovering the combined effects of internal and external factors on ESG performance, offering empirical evidence from Asian countries with high GDP per capita. Specifically, it underscores the efficacy of AI and blockchain adoption in accounting and enterprise risk management, as well as the moderating role of environmental uncertainty, within the Asian context.

This article aims to assess the impact of factors affecting the senses (via Sensory Marketing theory) on customer perceived quality and satisfaction when using health services in public hospitals. Based on the results, the research proposes solutions for public hospitals to improve the service experience to increase customer satisfaction in Vietnam generally and in developing countries particularly.

The authors used 619 respondents’ non-convenient probability sampling method, focusing on objects experienced with public hospital services in Vietnam. A preliminary quantitative study (n = 113) and qualitative research (n = 20) have been conducted to finalise the designed questionnaire before conducting a formal quantitative survey. Cronbach Alpha, CFA and SEM have been used to explore the meanings of the data collected.

The result showed that through Sensory Marketing, sensorial stimulus (tactile, sight, smell and taste) significantly impacts customer satisfaction with medical services at the public hospital. Research findings are the premise to conclude that the application of the Sensory Marketing model creates a great sensory experience, and minimises negative psychological feelings in the medical, especially in a prioritised personalisation society.

The authors open up a new health service quality and satisfaction assessment tool based on the original human senses that were previously applied in researching other services, it has been proven to be successfully applied to specific service areas such as healthcare. This research is believed to provide valuable implications for medical service stakeholders and policymakers to improve service quality and enhance the customer experience and satisfaction level through sensorial approaches, strategies and tactics.

While most studies on customer satisfaction in the medical field use SERVQUAL, SERVPERF or KQCAH model, this study breaks the research gap by not only affirming and strengthening the research perspective on Sensory Marketing but also contributing to creating a solid theoretical framework on perceived service quality and satisfaction.

Of critical concern to the world is the need to reduce consumption and waste of natural resources. This study provides a multi-level exploration of the ways situational and transformational links between levels and challenges are related to the adoption and utilization of material flow cost accounting in Vietnam, to encourage green productivity.

Based on triangulation of public documents at different institutional levels and a set of semi-structured interviews, situational and transformational links and challenges for material flow cost accounting in Vietnam are examined using purposive and snowball sampling of key actors.

Using a multi-level framework the research identifies six situational and transformational barriers to implementation of material flow cost accounting and suggests opportunities to overcome these. The weakest links identified involve macro-to meso-situational and micro-to macro-transformational links. The paper highlights the dominance of meso-level institutions and lack of focus on micro transformation to cut waste and enable improvements in green productivity.

The paper identifies ways for companies in Vietnam to reduce unsustainability and enable transformation towards sustainable management and waste reduction.

The paper is the first to develop and use a multi-level/multi-time period framework to examine the take-up of material flow cost accounting to encourage transformation towards green productivity. Consideration of the Vietnamese case builds understanding of the challenges for achieving United Nations Sustainable Development Goal number 12, to help enable sustainable production and consumption patterns.

This study explores the effect of local budget retention rate changes (RER) on total factor productivity (TFP) and its components in Vietnam.

The study employs a two-system generalized method of moments (GMM) estimator and data from 2012 to 2019 across all 63 provinces/cities of Vietnam.

The study finds that local budget retention rates significantly influence public investment, affecting scale and allocation efficiency. The reallocation of budgets between regions and from the central government to local levels incurs certain costs, often resulting in economically robust provinces experiencing reductions in their retention rates.

Recognizing the challenges of immediate structural budget changes due to cultural and historical factors, the study suggests a more gradual policy approach. It emphasizes the importance of policy predictability, as abrupt reductions in the retention rate lead to higher costs than gradual reductions, thus implementing budget policies with a clearer timeline. This study provides insight into local budget allocation regimes and their impact on productivity in transitioning countries.

First, the study provides fresh evidence of the impact of retention rate changes on TFP and its components in Vietnam. Second, the study provides insights into the mechanisms of the nexus of increased budget spending, capital efficiency and, most importantly, attaining improvement in education. We also offer further insights into inefficient budget allocation agents in Vietnam, especially in large cities, which should alert scholars to explore this topic further in the future.

This study aims to evaluate the impact of several factors on the continuance participation intention of service providers in the sharing economy business model, i.e. food delivery application (FDA) service.

Based on primary data collected from 282 service providers, this study used partial least squares structural equation modeling (PLS-SEM) to validate measurement scales and the proposed model.

The SEM analysis revealed that service providers’ intention to continue participating was influenced by perceived social benefit, perceived economic benefit and the corporate image of the service enabler. Notably, the relationship between perceived social benefit and continuance participation intention is moderated by the service enabler’s corporate image. Furthermore, this study identified four antecedents that impact on perceived benefit of service providers, namely, market attractiveness, and marketing capabilities of service enabler, delivery quality and customers’ positive affective response. However, the effect of marketing capabilities of the service enabler on perceived economic benefit was found to be irrelevant.

This study enriches the authors’ understanding of the factors that promote service providers’ intention to continue participating in the sharing economy business model, particularly within the context of FDAs. Based on the findings, the study offers both theoretical and practical implications for service enablers, policymakers and technology providers to enhance stakeholder engagement in the sharing economy business model.

This paper aims to provide a conceptual framework containing SERVQUAL original dimensions and add two additional dimensions: patient satisfaction and loyalty in the hospital SQ model that demonstrates the relationship between hospital service quality, patient satisfaction and loyalty from patients’ perspective.

This research conducted a thorough literature review using specific keywords and electronic databases, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Through analysis, the key dimensions of service quality in Indian hospitals were identified, with the addition of patient satisfaction and loyalty as variables. Of 1,000 initially downloaded papers, 497 were included.

While many researchers rely on the SERVQUAL model, some introduce new or modified dimensions, often renaming existing ones. This study identifies the RATER factors as the main dimensions patients use to evaluate hospital services. This study finds a positive relationship between service quality, patient satisfaction and loyalty.

An understanding of how health-care service quality dimensions, directly and indirectly, affect patient satisfaction and loyalty is important for hospital marketing managers. This study helps them take action to improve patient satisfaction, which encourages patients to be loyal.

This research provides a comprehensive framework for measuring health-care service quality, combining SERVQUAL dimensions and new variables. This study offers useful insights for academics and health-care professionals, promoting more accurate measurement and enhancement of service quality. The use of PRISMA in this context is also innovative, as it is less common in administrative health-care research.