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Facial recognition payment (FRP) has been recently introduced as a new cashless payment method in retail store context. Anchored on information systems and consumer theories, this research aims to investigate the key antecedents and outcomes of consumer attitudes toward this innovative payment method.

This research used a survey method to obtain data from 795 consumers at retail stores in China. The data were then analyzed by different statistical methods, including descriptive statistics, reliability analysis and structural equation modeling.

Results show that perceived usefulness, perceived ease of use and perceived innovativeness positively affect consumer attitudes toward FRP, while perceived risk negatively impacts such attitudes. In addition, consumer attitudes enhance store satisfaction, and hedonic shopping value plays a mediating role in this relationship.

This study encourages retailers to adopt FRP that can enhance consumer hedonic shopping value and satisfaction.

This study contributes to the literature by explaining both the antecedents and the outcomes of consumer attitudes toward FRP in retail context. The study also provides fresh insights into how such attitudes can improve consumers' shopping values and satisfaction in an emerging market.

This study aims to use the SmartPLS method for empirical analysis and explore the impact of various factors on the enhancement of corporate social responsibility (CSR) application among listed companies in Vietnam. With the increasing scrutiny over CSR disclosures and the pivotal role of internal and external factors, the research seeks to uncover how factors such as management’s perception, big data application, firm characteristics, organisational culture and stakeholder pressure significantly influence CSR application.

The research assesses the relationships among these factors by drawing on a sample of 255 listed Vietnamese companies across various sectors. Partial least squares structural equation modeling (SmartPLS) is applied to analyse the data and uncover the impact of the identified factors on CSR application.

The findings demonstrate that big data applications, organisational cultures and firm characteristics significantly impact CSR applications. Additionally, management’s perception, directly and indirectly, influences CSR applications through its effect on big data applications.

The study is limited to listed companies in Vietnam, which may affect the generalizability of the findings to other contexts. Further research is needed to validate these findings in different markets and settings.

These results provide valuable insights for corporate governance practitioners in Vietnam and similar emerging markets. By highlighting the critical role of big data applications in CSR practices, the study suggests pathways for enhancing corporate governance frameworks to improve CSR applications.

Improved CSR practices driven by the factors identified in this study can lead to more sustainable and socially responsible business operations.

This study contributes to the existing literature by using the SmartPLS method to analyse the impact of various factors on CSR applications in an emerging market. It emphasises the importance of big data applications in shaping effective CSR practices and offers valuable recommendations for corporate governance enhancements.

Although crisis communication via social media has engaged academia's attention during the disease outbreak, information value for preventive behaviors is inadequately studied. The purpose of this paper is to cast light on how to strengthen the uptake of older people's coronavirus disease 2019 (COVID-19) behavioral outcomes due to information value and perceived threat through social media.

This study designs a survey and applies structural equation modeling to examine a research framework. A sample comprises 334 Vietnamese older participants who have utilized social media.

The results illustrate that preventive behaviors are determined by perceived threat (i.e. severity and susceptibility). Furthermore, older people heighten risk perceptions based on information characteristics, including information relevance, informative support and source credibility. Lastly, information relevance is a strong predictor of source credibility.

The findings assist practitioners to enhance crisis communication effectiveness via social media by imparting valuable information to the public. Moreover, this paper offers overarching guidelines on the improvement in credibility with creators, risk consciousness and preventive behaviors.

Although earlier studies focused attentiveness on the power of social media for raising threat perceptions, this work seems the first to unveil informative motives for perceived COVID-19 threat across older individuals, which subsequently presents plausible reasons for behavioral disclosure, including facemask-wearing, hand-washing and social distancing.

The study mainly aims to evaluate factors that impact online accounting education in Vietnamese universities during COVID-19.

The study is exploratively conducted with a quantitative sample using purposive data-collecting techniques. The sample focused on teaching staff and students at public and private universities in Vietnam during COVID-19.

The study shows that infrastructure, working/living conditions during COVID-19 and lecturing time are the top three factors impacting online digitizing accounting education.

This research is not without limitations. The limitations are limited time and resources, which did not allow for examining other factors that impact digitizing education in accounting. The forthcoming study should examine extended factors (not mentioned in the study) such as government sponsorship, lecturers’ soft skills, national culture, qualifications and so on.

This study identifies and states significant factors that impact online digitizing accounting education in Vietnamese higher education during COVID-19.

This study aims to investigate disclosure of asbestos-related liabilities in corporate accounts and counter-accounts to examine whether and how accounting contributes to corporate accountability for asbestos-contaminated products.

This study uses the Goffmanesque perspective on impression management to examine instances of concealed asbestos-related liabilities in corporate accounts vis-à-vis the revealing of such liabilities in counter-accounts.

The findings show counter-accounts provide significant information on liabilities originating from the exposure of employees and consumers to asbestos. By contrast, the malleability of accounting tools enables companies to eschew accounting disclosures. While the frontstage positive performance of companies served an impression management role, their backstage concealing actions enabled companies to cover up asbestos-related liabilities. These companies used three categories of mechanisms to avoid disclosure of asbestos-related liabilities: concealing via a “cloak of competence”, impression management via epistemic work and a silent strategy of concealment frontstage with strategic reorganisation backstage.

This study has policy relevance as regulators need to consider the limits of corporate disclosures as an accountability tool. The findings may also initiate academic and practitioner conversations about accounting standards for long-term liabilities.

This study highlights the strategies companies use both frontstage and backstage to avoid disclosing asbestos-related liabilities. Through analysis of accounts and counter-accounts, this study identifies the limits of accounting as an accountability tool regarding asbestos-induced diseases and deaths.

This study aims to articulate the conceptual foundations of the role of accounting infrastructure (calculative practice and the communicative dimension of accounting) in extractive industries (EIs) towards a sustainable orientation from an actor-network theory (ANT) perspective.

This study is a literature-based analysis of the calculative property and communicative dimension of accounting in EIs, using the concepts of calculability, assemblage and other related concepts from ANT to identify potentialities and limits of the roles of accounting in this sector.

While accounting infrastructure can influence social and environmental outcomes, it has not, as yet, led to ecologically and socially sustainable practices in EIs. Calculative properties and the communicative dimension of accounting infrastructure have capabilities to foster the phenomenon of “sustainability” in EIs by valuing, disclosing (reporting) and governing EIs towards a sustainable orientation. Conceptualizing sustainable EIs as a promissory economy, accounting infrastructure serves as a tool not only to represent past performance but also to enact the future: it helps to shape a sustainable future for the industry by informing and triggering behavioural decisions of EIs firms towards sustainable practices.

This conceptual paper is anticipated to stimulate future sustainability accounting research. The research agenda discussed in this paper can be used to enrich our understanding of the role of accounting in sustainability.

This paper charts a direction for future research by interpreting the role of sustainability accounting within networks of sociotechnical relations, using ANT concepts which attach importance to the dualism of nature and society. Conceptualizing sustainability accounting and reporting as an infrastructure, which draws more attention to the relationality characteristic of accounting, the study goes beyond the traditional interpretation of accounting as a mediation device and draws on a contemporary view of accounting by invoking the dynamic relation between accounting and society, in the context of EIs.

Recently, Vietnamese enterprises have begun to realize the potential benefits of big data and harnessing all of the data they have been creating. Experiencing the crisis time of the COVID-19 pandemic, they could apprehend more and more benefits of digitalizing trend. However, a big problem for many Vietnamese enterprises is understanding where to begin in implementing big data and analytics. The study’s main objective is to investigate the impact factors of implementing big data and analytics in Vietnamese enterprises post-COVID-19 pandemic.

The study is exploratively conducted with a quantitative survey approach and uses purposive techniques in collecting data. The sample focuses on Vietnamese enterprises which have experience with big data and analytics.

This study intended to highlight some aspects to consider when implementing big data and analytics in Vietnamese enterprises post-COVID-19 pandemic.

To the best of the author’s knowledge, this study is the first academic paper to study Vietnamese enterprises’ considerations of big data and analytics post-COVID-19 pandemic.

The purpose of this study is to carry out an empirical investigation about how the level of market concentration or competitiveness of the banking system and institutional quality are associated with bank’s financial stability.

This study uses dynamic panel data techniques on the sample of 133 developing and emerging countries over the years 2002–2020.

The authors document several significant findings. First, there is evidence that bank stability is positively associated with the level of market concentration. The result is in line with the concentration–stability view that banks operating in a more concentrated market tend to be more stable than those in a less concentrated market. Second, the results confirm that the quality of the institutional environment plays a critical role in improving the stability of banks in developing and emerging countries. Third, the authors find that institutional development can moderate the effect of market concentration (or competitiveness of the banking system) on bank stability. Specifically, the results show that better institutional quality enhances the positive influence of bank concentration on the bank’s financial stability in developing and emerging countries. These results are robust to different specifications with the alternative measures of bank stability and market concentration.

This study provides further understanding regarding the effects of the level of market concentration or competitiveness of the banking system and institutional quality on bank stability in 133 developing and emerging countries over the years 2002–2020.

Departing from conflicting findings on the role of involvement in the formation of the consideration set, the authors of this study seek to shed light to the wine consumer behaviour and expand previous findings in the bring-your-own-bottle (BYOB) of wine restaurant industry. The authors seek to determine the contradictory effect of involvement on the consideration set size and variety.

Three empirical studies were conducted. In Study 1, the relationships were tested in a personal consumption situation and in Study 2 in a gift-giving context. Finally, in Study 3, inconsistencies in the intensity of the hypothesised relationships were explored by testing the triple interaction amongst the three variables (i.e. involvement, decision-making context and decision domain).

According to the authors' findings BYOB of wine consumers form larger considerations sets in memory-based decision contexts. Involvement's effect on wine consideration set size is stronger in memory-based decisions. BYOB restaurant patrons form smaller sets of alternatives for personal consumption. BYOB restaurant patrons form more heterogeneous sets of alternatives in wine gift-giving. BYOB of wine restaurants should facilitate consumers' wine-selection process.

The authors make an effort to explain and determine the up-to-date contradictory effect of restaurant patrons' involvement on the BYOB of wine consideration set size and the amount of variety contained therein. The study offers new insights, by unfolding the moderating effect of decision-making contexts (i.e. memory-based versus stimuli-based) and decision domains (i.e. personal consumption versus gift-giving) on this effect of involvement on the properties of consideration sets.