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This study aims to investigate the interrelationships between charter value and market discipline in five Southeast Asian countries (ASEAN-5).

This research uses a simultaneous equations model with a three-stage least squares estimator for a sample of 79 listed banks from 2006 to 2019.

The findings show a negative two-way relationship between charter value and market discipline. More specifically, charter value can reduce market discipline. Meanwhile, a negative relationship between market discipline and charter value reemphasizes the significance of market discipline in the banking system to enhance bank charter value. Similar results still hold when using several robustness checks (e.g. subsamples, considering the global financial crisis, governance indicators and market structure).

To the best of the authors’ knowledge, this study is the first attempt to investigate the bidirectional relationship between bank risk and charter value in ASEAN-5. Therefore, this study would provide significant recommendations for policymakers and practitioners.

This study aims to investigate whether the changes in gender composition of bank board affects Vietnamese bank stability efficiency.

This research covers a panel of 27 commercial banks in Vietnam over a 14-year period from 2007 to 2020. The two-step system generalized method of moments is used to estimate the gender diversity–Vietnamese bank stability efficiency nexus.

The authors find that a greater degree of board gender diversification enhances bank stability efficiency and reduces bank risk-taking in Vietnam. The relationship between gender diversity and the stability efficiency of Vietnamese banks is still valid under the influence of regulatory capital sufficiency and during the financial crisis. These findings are robust to alternative proxies for risk indicators and consistent with the perspectives of stakeholder and behavior theory.

Although this research revisits the relationship between gender diversity and bank risk-taking, it is the first attempt to explore the role of women on board in enhancing the stability efficiency of banks, using the stochastic frontier approach. These findings shed light on the function of gender diversity as a governance instrument for mitigating risk in an emerging market context.

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.

Electric vehicle adoption (EVA) drives sustainability by significantly reducing carbon emissions and reliance on fossil fuels. Despite EVA’s notable advantages from existing literature and its evolving nature, a gap persists in evaluating EVA research. This research presents a systematic literature review, offering insights into the current state of EVA advancements.

This study amalgamates various factors influencing EVA and elucidates their associations, fostering sustainable transportation. To evaluate progress in this domain, we adopt the Theory-Context-Characteristics-Methodology (TCCM) framework, systematically assessing the theories, contextual factors, characteristics and methodologies employed in EVA research to support efficient decision-making.

The study reveals 18 theories, prominently including the theory of planned behavior, innovation diffusion theory, technology acceptance model and UTAUT. The study identifies diverse factors such as perceived risk, effort expectancy, social norms, performance expectancy, government policy, personal norms, attitude, perceived behavioral control, subjective norms, demographics and ecological knowledge as pivotal in shaping attitudes and intentions toward electric vehicle adoption. Furthermore, structured equation modeling emerges as the predominant methodology, while including alternative approaches enriches the methodological landscape, contributing to a more comprehensive understanding of the factors driving EV adoption.

The insights gained from this research can inform policymakers, manufacturers and researchers, ultimately contributing to the global transition towards more sustainable transportation solutions.

This research’s cardinal contribution lies in developing an integrated theoretical framework, a novel approach that offers a structured and holistic perspective on the multifaceted determinants of EVA. This framework not only illuminates the intricate relationships among these variables but also opens up exciting avenues for future research.

This study explores how establishing an agile supply chain ecosystem (ASCE) during the COVID-19 pandemic impacts three listed auto firms’ financial and customer performance in China. Drawing on the theory of supply chain resilience, responsiveness and restoration (3R capabilities), we collect, mine and analyze unstructured social media data from Dongfeng Motor Corporation (DFM), BYD Company Limited (BYD) and SAIC Motor Corporation Limited (SAIC), all of which have production plants in Wuhan.

Data mining was conducted on 3,528 comments involving DFM, BYD and SAIC from 190 uploaders in the stages of “Early COVID-19 Period (January 23-May 31, 2020)” and “Enhanced Preparedness and Vaccine Launch Period (September 8, 2020–January 15, 2021)”. Our conceptual model of an ASCE was tested by adopting structural equation modelling and verified by the DFM case study.

The study finds that the 3R capabilities of the supply chain have a positive effect on establishing an automotive agile supply chain ecosystem. Establishing the automotive agile supply chain ecosystem has promoted corporate financial performance and customer performance, but the mechanism of action presents a delayed feature.

This study refines the definitions and application of the 3Rs concerning an ASCE in the automotive industry. Through text mining technology and statistical analysis methods, we uncover and discuss the impact of COVID-19 on the performance of three auto companies in China and examine how ASCE establishment plays a role. Constructing an ASCE provides a theoretical basis and realistic approach for the long-term and healthy development of the automotive supply chain.

A popular production model for high-tech manufacturers is that they move most production lines abroad to produce formal products for sale and just keep a few production lines in headquarters to manufacture sample products for new product development. Under such a production model, the paper aims to develop a selection model of International Air Express (IAE) for high-tech manufacturers in airfreight of sample products using the fuzzy best-worst method (BWM).

In this paper, an assessment model based on the fuzzy BWM approach is proposed for high-tech manufacturers in selecting airfreight carriers for the shipping of sample products. Further, one high-tech electronic manufacturer in Taiwan was empirically investigated to validate the assessment model.

The result indicates that electronics manufacturer pays more attention to Promptness, Mutual trust, Freight rate and Financial status of fixed assets when selecting IAEs. Besides, FedEx is argued to be the most preferred IAE for the transportation of sample products. Based on the findings, some practical management implications were discussed.

Some literature limitations should be addressed. Initially, the adoption of the fuzzy BWM assumes independence among criteria. Nonetheless, this assumption is not yet to confirm in this study. Accordingly, this limitation leaves room for improvement in future studies. Further, in this paper, five experienced experts from the Radiant Opto-Electronics Corporation (ROEC) case were empirically surveyed. To ensure the validity of the surveying, this paper adopted an interviewing survey instead of a traditional mailed survey. However, more representative samples are still necessary to confirm the empirical results in future research.

Firstly, the proposed research model provides a systematic framework to the decision-making process, which assists high-tech manufacturers in identifying the most suitable IAEs based on multiple criteria. It has been illustrated that high-tech companies deliver their sample products requiring timely and secure means of transport. In practice, manufacturers can assess various IAEs considering some main factors, such as Operational Flexibility (OF), Partner Relationship (PR), Transportation Capability (TC) and Management, using fuzzy BWM. This process ensures the selection of IAEs aligning with their logistical needs and business priorities, ultimately enhancing operational efficiency and customer satisfaction. Secondly, empirical results from the ROEC case indicate that electronics manufacturer pays more attention to Promptness, Mutual trust, Freight rate and Financial status of fixed assets when selecting IAEs. Besides, FedEx is argued to be the most preferred IAE for transportation of sample products. In other words, ROEC should consider establishing long-term contracts with preferred IAEs (i.e. FedEx) to secure favorable rates and service commitments. On top of that, results not only provide practical information for manufacturers in selecting IAEs but also for IAE partners to improve their service policies.

The results not only provide practical information for high-tech manufacturers in selecting airfreight carriers but also for the airfreight carriers to improve their service quality.

With increasing pressure to achieve environmental sustainability, hotel organizations implement green human resource management (GHRM) to inspire employees’ green behavior to improve environmental performance. Following the conservation of resources theory, this research aims to examine how GHRM fosters employee green advocacy.

Data were obtained from 315 employees from 24 hotels in China. This study used the SPSS PROCESS to test the mediation and moderated mediation model.

The results showed that GHRM has a positive impact on green advocacy, and harmonious environmental passion (HEP) fully mediates the positive relationship between GHRM and green advocacy. Furthermore, the relationship between GHRM, HEP and green advocacy is moderated by environmentally specific transformational leadership (ESTL). Subsequently, the findings imply that the indirect effect of GHRM on green advocacy via HEP is stronger while ESTL is higher.

This study extends the research on GHRM and green advocacy by exploring how and when GHRM stimulates employee green advocacy via HEP in the Chinese context.

This study aims to examine whether the age and tenure of the chair of the board of directors are related to research and development (R&D) investment in China.

This study uses A-share manufacturing firms that traded on the Shanghai and Shenzhen stock exchange between 2009 and 2018. This study uses OLS regressions, controls for self-selection bias, and uses an instrumental variable to alleviate the concern of endogeneity.

This study finds that chair tenure has a negative relationship with R&D investment. This study does not find a significant relationship between chair age and R&D investment.

This study contributes to corporate governance and strategic management literature by highlighting chair tenure as a new factor affecting R&D investments. It also adds a significant contribution to the limited literature on the chair’s role in strategic decisions. Moreover, companies that are eager to strengthen corporate governance and maintain sustained innovation may reconsider the chair tenure. Given that many proposals for board governance reform explicitly stress the importance of limiting board tenure, this study contributes to policymakers by providing evidence in support of these proposals.

In the highly competitive sector of state-owned enterprises in Indonesia, particularly within the electricity group, innovation is crucial for sustainability and growth. This study investigates the impact of transformational leadership and knowledge management on innovation performance, emphasizing the mediating role of innovation capability.

Employing a quantitative approach, this research focuses on the upper management of 11 companies, gathering data from 196 out of 280 surveyed individuals through structured questionnaires. Structural equation modeling (SEM) was utilized for analysis.

Our analysis reveals a dual role of transformational leadership; while it significantly enhances innovation capability, it unexpectedly detracts from innovation performance. Conversely, knowledge management boosts both innovation capability and performance. Significantly, innovation capability serves as a crucial mediator, amplifying the effects of both transformational leadership and knowledge management on innovation performance. These results highlight complex interdependencies within organizational leadership and knowledge frameworks.

These findings can guide organizations in refining leadership and knowledge management strategies to bolster innovation. By enhancing transformational leadership skills, implementing robust knowledge management systems and fostering innovation capabilities, companies can better navigate the complexities of the modern market. The adaptation of these strategies should consider specific organizational cultures and market dynamics to optimize performance.

This research extends the resource-based view (RBV) by detailing the interplay between key organizational variables, offering fresh insights into their collective impact on innovation within the context of state-owned enterprises in Indonesia.

This study investigates the influences of brands, sources and congruence on perceived product quality, as well as the role of content creator types in Instagram influencer marketing for luxury brands.

The samples consisted of Instagram users who follow content creators who posted about luxury brands. A survey instrument was used to collect data from 916 respondents who were of working age (22–55 years old).

The analysis showed acceptable fits for both measurement and structural models. The results reveal the positive effect of luxury brand identity on content attributes, which influence both content creator-product fit and perceived product quality and the direct influence of fit on perceived quality. Perceived uniqueness acts as a negative driver.

The findings of this study guide luxury brand marketers in choosing peers and influencers, selecting appropriate content creators and emphasizing effective content attributes.

This study identifies novel antecedents for perceived quality, a part of brand equity, including drivers and obstacles. It also explores the impact of content creator types, such as friends and/or acquaintances, compared to influencers and/or celebrities, offering insights beyond previous research.