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“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

This paper examines the role of the annual report’s linguistic tone in predicting future firm performance in an emerging market, Vietnam.

Both manual coding approach and the naïve Bayesian algorithm are employed to determine the annual report tone, which is then used to investigate its impact on future firm performance.

The study finds that tone can predict firm performance one year ahead. The predictability of tone is strengthened for firms that have a high degree of information asymmetry. Besides, the government’s regulatory reforms on corporate disclosures enhance the predictive ability of tone.

The study suggests the naïve Bayesian algorithm as a cost-efficient alternative for human coding in textual analysis. Also, information asymmetry and regulation changes should be modeled in future research on narrative disclosures.

The study sends messages to both investors and policymakers in emerging markets. Investors should pay more attention to the tone of annual reports for improving the accuracy of future firm performance prediction. Policymakers should regularly revise and update regulations on qualitative disclosure to reduce information asymmetry.

This study enhances understanding of the annual report’s role in a non-Western country that has been under-investigated. The research also provides original evidence of the link between annual report tone and future firm performance under different information asymmetry degrees. Furthermore, this study justifies the effectiveness of the governments’ regulatory reforms on corporate disclosure in developing countries. Finally, by applying both the human coding and machine learning approach, this research contributes to the literature on textual analysis methodology.

This study aims to explore the relationship between digital transformation, transformational leadership style and artificial intelligence (AI) in accounting in the context of Vietnam as an emerging market. Additionally, it examines the role of transformational leadership style as a moderator in the nexus between digital transformation and AI in accounting.

Data was collected through e-survey questionnaires distributed to Vietnamese manufacturing firms following comprehensive screening to ensure representativeness of the entire population. A final sample of 510 responses was analyzed.

Using partial least squares structural equation modeling, our findings reveal that digital transformation and a transformational leadership style positively influence AI in accounting. Furthermore, transformational leadership style demonstrates a significant moderating effect on the relationship between digital transformation and AI in accounting.

This study discusses the benefits of incorporating AI in accounting for managerial decision-making. It underscores the critical importance of digital transformation in contemporary accounting practices, particularly with regards to AI in accounting. Consequently, managers are encouraged to embrace digital transformation, leveraging national policies, to enhance their firm's utilization of AI in accounting. Moreover, managers should focus on developing their transformational leadership style to maximize the aforementioned outcomes.

This study contributes to the literature on AI in accounting by highlighting the positive effects of digital transformation and a transformational leadership style. Additionally, our findings underscore the effectiveness of a transformational leadership style and its moderating influence. Finally, this study presents a pioneering empirical investigation that integrates transformational leadership style with AI in accounting within developing economies, specifically Vietnam.

This study aims to examine the relationship between blockchain technology (BCT) adoption and firm performance (FIP) mediated by cyber-security risk management (CSRM) in the context of Vietnam, a developing country. Besides, the mediating effect of risk-taking tendency (RTT) has been considered in the BCT–CSRM nexus.

Data is collected using a survey questionnaire of Vietnamese financial firms through strict screening steps to ensure the representativeness of the population. The ending pattern of 449 responses has been used for analysis.

The findings of partial least squares structural equation modeling demonstrated that CSRM has a positive effect on FIP and acts as a mediator in the BCT–FIP nexus. Furthermore, RTT moderates the relationship between BCT and CSRM significantly.

This study introduces the attractive attributes of applying BCT to CSRM. Accordingly, managers should rely on BCT and take advantage of it to improve investment resources, business activities and functional areas to enhance their firm's CSRM. Especially, managers should pay attention to enhancing their RTT, which improves FIP.

This study supplements the previous literature in the context of CSRM by indicating favorable effects of BCT and RTT. Additionally, this study identifies the effectiveness of RTT as well as its moderating role. Ultimately, this paper has been managed as a pioneering empirical study that integrates BCT, RTT and CSRM in the same model in a developing country, specifically Vietnam.

In the wine industry, maintaining superior quality standards is crucial to meet the expectations of both producers and consumers. Traditional approaches to assessing wine quality involve labor-intensive processes and rely on the expertise of connoisseurs proficient in identifying taste profiles and key quality factors. In this research, we introduce an innovative and efficient approach centered on the analysis of volatile organic compounds (VOCs) signals using an electronic nose, thereby empowering nonexperts to accurately assess wine quality.

To devise an optimal algorithm for this purpose, we conducted four computational experiments, culminating in the development of a specialized deep learning network. This network seamlessly integrates 1D-convolutional and long-short-term memory layers, tailor-made for the intricate task at hand. Rigorous validation ensued, employing a leave-one-out cross-validation methodology to scrutinize the efficacy of our design.

The outcomes of these e-demonstrates were subjected to meticulous evaluation and analysis, which unequivocally demonstrate that our proposed architecture consistently attains promising recognition accuracies, ranging impressively from 87.8% to an astonishing 99.41%. All this is achieved within a remarkably brief timeframe of a mere 4 seconds. These compelling findings have far-reaching implications, promising to revolutionize the assessment and tracking of wine quality, ultimately affording substantial benefits to the wine industry and all its stakeholders, with a particular focus on the critical aspect of VOCs signal analysis.

This research has not been published anywhere else.

The textile industry has consumed large quantities of water and discharged large volumes of wastewater in the dyeing process. The study aims to characterize self-dyed silk with Rhodamine B (RhB) for fashion applications to reduce textile hazards to the environment and increase the added value of silk.

Bombyx mori was fed with RhB-colored mulberry leaves (1500 ppm). The effects of self-dyeing were investigated via color strength K/S, Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscope, X-ray diffraction, tensile strength, color fastness to washing, rubbing, perspiration and light.

Self-dyed silk possesses effective coloration and impressive color fastness (4–5/5), higher crystalline index (CrI) (73.26 ± 2.28%), less thermal stability and tenacity, slight change in amino acid composition compared with the pristine and no existence of harmful aromatic azo amines and arylamine salts.

The application of self-dyed silk with RhB dye has expanded new technology into fashion industry, contributing partly to economic growth and adding value to silk in the global supply chain. Besides, the self-dyeing will yield practical values in the reduction of dyeing discharge in textile industry.

Self-dyed silk was characterized for textile applications in comparison with pristine silk in terms of color strength and fastness as well as determined its polymeric properties relating to crystallinity, morphology, chemical composition, tensile properties and thermal stability which have not been investigated before.

Using an open interview technique, information about the challenges facing Australian and Vietnamese managers working in joint ventures was gathered from ten Australian and 26 Vietnamese respondents. Our analysis suggests that salient differences exist along several dimensions: collectivism/individualism, the nature of relationships and attitude to work; use of public and private space and attitude towards causality. A model of management development is presented to deal with the challenge of inter‐cultural management development.

This study aims to identify how perceived destination social responsibility (DSR) drives destination brand loyalty through a jointly and independently mediated mechanism of cognitive and affective components (e.g. tourist-destination identification, cognitive image, affective image and tourist satisfaction) and to examine the moderating role of individual-level collectivist values in linking perceived DSR and tourist behaviors.

An online survey is conducted to collect the data of 351 domestic tourists visiting an urban tourism destination (e.g. Danang City) in Vietnam. A serial multiple mediation model and moderation model were examined by applying covariance-based structural equation modeling.

This research’s results highlight the leading factors of perceived DSR in the process of forming destination brand loyalty and confirm the vital role of the intermediary mechanism of tourists' cognition and affect during this process. The chain of causal relationships DSR → TDI → CI → AI → TS → DBL confirms the role of perceived DSR as an essential prerequisite factor of DBL, creating a close connection to tourists' cognition and affect and contributing to improving destination brand loyalty. Individual-level collectivist values were found to positively moderate the links between perceived DSR and tourist-destination identification, affective image and destination brand loyalty.

Future research would provide insights into the links between perceived DSR and tourist behaviors by considering moderating variables (e.g. cultural distance and tourist types) and uncovering specific insights into each destination stakeholder's DSR activities.

A new integrated model of destination brand loyalty development is proposed to explore a new path for destination brand loyalty formation through cognitive, affective and cognitive-affective pathways. This moderating stream of examining individual-level collectivist values can make a significant contribution to the extant tourism literature by promoting a more positive tourist perception of DSR, thereby increasing tourists' knowledge, beliefs and emotions and enhancing destination brand loyalty.

Intellectual capital, corporate governance (CG) and corporate social responsibility (CSR) are generally considered three essential pillars to enhance firms’ performance in the developed world. However, in developing countries such as Vietnam, these pillars have not received sufficient attention from practitioners. In addition, this study aims to investigate the interrelationship between these three essential pillars and their combined effects, in the Vietnamese context.

This study uses data collected from the annual reports of the largest listed banks in Vietnam from 2011 to 2018. Intellectual capital is measured using a modified value-added intellectual coefficient model. CG is proxied by board remuneration. This study measures CSR using the ratio between charitable contributions and profit before tax. In addition, this study uses the generalized method of moments to overcome several econometric problems exhibited in previous empirical studies.

Results indicate that CG and CSR have a positive impact on intellectual capital. Intellectual capital plays a moderating role in the relationship between CG and CSR. Moreover, CG and intellectual capital in the previous year significantly affect CG in the current year.

Based on the findings from this study, policy implications have emerged for bank executives and policymakers in formulating and implementing policy about the balance between intellectual capital accumulation, CG and CSR.

To the best of the authors’ knowledge, this is the first empirical study conducted to examine the interrelationship between intellectual capital, CG and CSR and their combined effects in emerging countries such as Vietnam.