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The goal of the study is to offer important insights into the dynamics of the cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregressive Integrated Moving Average (ARIMA). The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023.

The data used in this study are the daily closing prices of Bitcoin from Jan 17th, 2021 to Dec 17th, 2023, which corresponds to a total of 1065 observations. The estimation process is run using 3 years of data (2021–2023), while the remaining (Jan 1st 2024 to Jan 17th 2024) is used for forecasting. The ARIMA-GARCH method is a robust framework for forecasting time series data with non-seasonal components. The model was selected based on the Akaike Information Criteria corrected (AICc) minimum values and maximum log-likelihood. Model adequacy was checked using plots of residuals and the Ljung–Box test.

Using the Box–Jenkins method, various AR and MA lags were tested to determine the most optimal lags. ARIMA (12,1,12) is the most appropriate model obtained from the various models using AIC. As financial time series, such as Bitcoin returns, can be volatile, an attempt is made to model this volatility using GARCH (1,1).

The study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.

One Commune One Product (OCOP) program, a rural economic development program in Vietnam, aims to empower local communities for sustainable social and economic welfare development, protect the environment and preserve tradition. This study aims to employ this program associated with tourism to support small family businesses in rural areas cost-effectively.

This study used the geographic location mapping method to design tourist routes that connect tourism resources with OCOP producers. A stakeholder approach was employed to identify suggested practical works that need to be implemented while developing this tourism initiative.

Four rural districts of Bac Giang Province, a northern province in Vietnam known as the place of various indigenous people live and traditional craft villages. Many cultural and historical tourist sites have been chosen as sample areas for this study. By using Google map, based on the Bac Giang Tourist Map and a list of recognized OCOP products in Bac Giang Province, main tourist sites (16 locations) and small family businesses (known as cooperatives and households) that have OCOP products (17 places) in the four districts have been identified. Four notable tourist routes have been formed to propose four thematic tours (two 1-day tours and two 2 days-1 night homestay tours). Suggestions for related stakeholders to ensure the sustainability of this initiative are provided.

This study is supposed to be a model of promoting small family businesses through OCOP programs and tourism activities in a sustainable way in Vietnam. The outcome of this study is in line with the stakeholder theory emphasizing the systematic connection of various stakeholders such as employees, suppliers, local communities, government agencies and others towards complex business sustainability. The results of the study cannot conclude the small family businesses in Vietnam because it adopts geographic location mapping alone. Moreover, this study focused on OCOP programs only. Future research can use other methods of primary data collection, especially from tourists' perspectives. Data triangulation can be done to explore and verify the tourist routes that have been formed according to the four thematic tours proposed. Future research could also compare hotels managed by family businesses with non-family businesses.

This study is supposed to be a model of promoting small family businesses through OCOP programs and tourism activities in a sustainable way in Vietnam.

The Built Operate Transfer (BOT) model has been increasingly used in transportation investments in Vietnam. However, there is still an inadequacy of risk management applications in these projects and lack of research in this area. The study aims to improve the success of projects implemented through the BOT model in Vietnam.

The study followed a sequential design including interviews and a questionnaire survey to investigate the perception of stakeholders from public and private sector regarding the probability of occurrence and the severity of impact of risks in BOT transportation projects in Vietnam. Quantitative data from the survey was subjected to descriptive and inferential statistics to explore the priority of risks as well as the differences in the perception between the public and private sectors.

The results showed that the top five most significant risks in BOT transportation projects in Vietnam are: (1) problems with land acquisition and compensation, (2) inappropriate location of toll booths, (3) public resistance to pay, (4) high toll rate and (5) lack of cash flow. With the exception of “lack of cash flow,” there were no statistically significant differences in the rankings of individual risks between the public and private sector. In addition, there is a significant positive correlation in the overall rankings of all risks for both sectors.

This study contributes to the body of knowledge by exploring the probability of occurrence and the severity of the impact of risks in BOT transportation projects in a developing country like Vietnam which has not been extensively explored yet. Second, it provides an insight into the perception of stakeholders from the public and private sector regarding the level of risks which is very useful for potential stakeholders in making decisions when they intend to participate in such partnerships. Third, it enables the Vietnamese government to establish suitable policies related to such projects. These contributions are very important in improving risk management in PPPs in developing countries.

Despite the fact that extensive studies on public-private partnerships have focused on risk identification and classification, research still lacks concentration on studying the latent structure of risks in build operate transfer (BOT) transportation projects, especially in developing countries. The research was carried out in Vietnam and this paper aims to explore the underlying relationships among risks in the context of BOT transportation projects.

A questionnaire survey was conducted to investigate the perception of stakeholders regarding the probability of occurrence and the severity of the impact of risks related to BOT transportation projects. Factor analysis was performed based on a total of 40 risks.

Seven risk groups were formed as a result of factor analysis, namely, “projects’ viability and political-regulatory risks”, “macroeconomic risks”, “projects’ feasibility study and market risks”, “financial risks”, “organization/coordination and force majeure risks”, “tolling, contractual, approvals risks” and “media and land expropriation risks”.

The research contributes to the current body of knowledge by providing deep insight into the structure of risks in BOT transportation projects in Vietnam through exploring the underlying relationships among risks, to form a latent risk structure from practical viewpoints. The findings are beneficial for involved stakeholders and policymakers to set up and propose suitable management strategies and related policies.

The criteria selection of green suppliers is an interesting and practical research topic. With the development and consciousness of environmental management, this issue has received a significant consideration from academics, researchers and businessmen. The purpose of this paper is to study what factors are considered to be the most important when choosing partners/suppliers in a green supply chain, with reference to the Taiwanese hand tool industry, as this industry plays a major role in the Taiwanese economy.

Inheriting from previous researches, the literature about green supplier selection that appeared in international journals from 1997 to 2009 was reviewed. Then, the integrating fuzzy analytical hierarchy process (FAHP) approach is proposed to select the most important criteria for green supplier selection in the Taiwanese hand tool industry.

Ultimately, a list of criteria, along with their priority levels, is presented, not only to support Taiwanese hand‐tool companies when selecting suppliers, but also to help the suppliers of these companies to improve their performance in order to meet customers' (hand‐tool companies) requirements.

The approach used in this paper to select green suppliers can be applied to other industrial or geographical settings.

This study aims to investigate the cognitive factors and e-social interactions that influence the green purchase intention of Vietnamese consumers.

This study conducted the survey with 453 samples of young consumers in Vietnam, using the partial least squares structural equation modeling approach to evaluate the measurement quality to deal with research objectives.

The findings of this study demonstrate that cognitive factors positively impact green purchase intentions in Vietnam. Moreover, the analysis revealed that the attitude variable played a mediating role in this model, whereas the social norms factor did not.

This study presents several valuable findings on the green purchase intentions of young Vietnamese consumers. Therefore, the results can potentially advance and strengthen green purchasing theories in the Vietnamese market. Moreover, the recommendations indicate that cognitive factors and e-social interactions are crucial in shaping green purchasing intentions among Vietnamese consumers. Thus, it is suggested that the firms in the Vietnamese market focus on green marketing based on leveraging these factors.

This work provides a valuable contribution to the knowledge related to cognitive and e-social interactions among young Vietnamese consumers. It demonstrates the significant impact of these elements on green purchase intentions through e-commerce.

This article aims to provide a theoretical unifying framework for workplace Confucian culture and employees’ organizational commitment (OC) through the modelling role of moral identities. The context is education in Vietnam.

Based on employees’ OC theory, a theoretical model was built. Administrative staff and teachers were asked to participate in the study with the assistance of preschool educational institutions in Vietnam. A survey was performed, and data from 421 participants were collected. The moderated structural equation technique was used to test hypotheses.

The study has demonstrated the positive impact of workplace Confucian culture applications on employees’ perceptions and participation in corporate social responsibility (CSR). The study also confirms the positive impact of employees’ perceptions and participation in CSR. In addition, another conclusion is the moderating effect of moral values on the relationship between workplace Confucian culture and aspects of CSR.

The study focuses on Confucian-culture employees in workplaces, suggesting that their perception of CSR may differ from those from other backgrounds. The authors then plan to state the comparison in further research. The main finding of the study is that WCC and CSR affect employee OC, but there are other factors that could be influenced by WCC and CSR. Future research should explore these factors to improve the current model.

Confucian ideology has been constructed and developed for a long time, but this study has examined its practical implications for favourably effecting human behaviour, thereby demonstrating its potential in organizational culture and practical application.

This theoretical framework can be profitably used in educational organizations.

The study adds to the body of research on OC in two ways. The first way is to explain how a beneficial organizational factor – the Confucian workplace culture – contributes to employees’ OC. The second way involves examining the effects of moral identity on participation and perception of CSR.

In the competitive realm of destination branding, understanding the factors that lead tourists to develop a deep emotional connection with a destination’s brand is essential. At the heart of this emotional bond lies destination brand love – an exceptionally profound sentiment transcending mere satisfaction or preference. This concept has recently garnered attention from both tourism academia and industry practice. However, there remains a void in exploring the factors and mechanisms that pave the way for tourists to develop deep affection for a destination’s brand. This study examines the influences of self-congruence and destination immersion on destination brand love. In addition, the linkages from the four facets of self-congruence to destination brand love via the mediating role of destination brand immersion are also scrutinized.

With data collected from 421 tourists in Vietnam, the partial least squares structural equation modeling (PLS-SEM) approach was applied to test the research model and hypotheses.

The results reveal that (1) ideal and ideal social self-congruence impact destination brand love, (2) all four facets of self-congruence impact destination brand immersion and (3) there is an indirect effect of the four facets of self-congruence on destination brand love, mediated by destination brand immersion.

The study’s findings provide evidence that destination characteristics must be symbolic of the destination brand and consistent with its image among tourists, which is essential in understanding the complex behavior of tourists. Indeed, the results indicate that facets of self-congruence significantly influence both destination brand immersion and destination brand love. Therefore, destination marketers should develop marketing strategies that emphasize personal relevance to the tourist destination to increase their sympathy and love for the destination.

Adapting self-congruence theory and the psychology of flow theory, this study presents a model that elucidates both the direct and indirect relationships among the four facets of self-congruence: destination brand immersion and destination brand love based on the aspects of congruence between tourists and destinations. From this, it helps to explore the factors and mechanisms that pave the way for tourists to develop deep affection for a destination’s brand.

The purpose of the present study is to explore the factors affecting young consumers’ purchase intention towards organic food products (OFPs) and gain a comprehensive understanding of the various factors that influence how consumers perceive and respond to organic food. Therefore, this study frames and validates the measurement scale to examine the factors that may impact purchase intention among young consumers in India.

In order to frame and validate the measurement scale for this investigation, sophisticated statistical procedures such as exploratory factor analysis, confirmatory factor analysis and other statistical measures utilizing SPSS v.26 and AMOS v.24 were used. This study utilized 307 samples to investigate.

The main findings of the study show that Indian consumers' intent to buy organic food items is strongly associated with factors such as “warm glow”, “cultural values”, “environmental cognition”, “natural experience”, “food safety concern”, “self-identity” and “environmental ethics”. These factors explained 69.14% of the overall variance in research variables.

The present offers a novel measurement mechanism for exploring the green consumer behaviour. By applying it in real-world settings, marketers will gain insights and develop more effective, targeted strategies to promote OFPs among young Indian consumers.

The study brings together a diverse set of antecedents that have not been collectively analysed in the context of consumer purchase intention for OFPs. The emphasis on environmental ethics, green self-identity and related constructs aligns with the growing global emphasis on sustainability.