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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.

This research applies the stimulus-organism-behavior-consequence framework to explore how blockchain-enabled traceability influences trust in organic food producers and retailers, which impacts consumers’ purchase behaviors and subsequent outcomes.

Using a purposive sample of 5,326 Vietnamese consumers, multiple linear and polynomial regression with response surface analysis were employed to examine the hypotheses.

Blockchain-enabled traceability significantly enhances trust in both producers and retailers, which congruently and incongruently influences organic food purchase behaviors. This behavior also drives consumers’ word-of-mouth and repurchase intentions. Serial mediation analysis confirms blockchain’s impact through trust and purchase behaviors.

Stakeholders should adopt blockchain to boost transparency and trust, which increases consumer engagement. Policymakers can support this transition through regulations and incentives to enhance food security and sustainability.

This study expands on blockchain research by applying the stimulus-organism-behavior-consequence framework in the organic food supply chain, showing how blockchain-enhanced trust synergistically affects consumers’ purchase behaviors, word-of-mouth and repurchase intentions.

This study focuses on Vietnamese international students who returned from their overseas doctoral education to home universities in Vietnam (henceforth Vietnamese overseas-trained returnees). The purpose is to explore the experience of these returnees “doing research” (i.e. being research active) when resuming a lecturing role at a Vietnamese regional university. In the context of research now receiving heightened attention in both the wider global higher education (HE) discourse and the Vietnamese HE sector, this study is timely and provides valuable insights.

In total, 76 Vietnamese overseas-trained returnees from varied disciplinary backgrounds completed a questionnaire on their research motivation and their perceived constraints doing research. Eighteen subsequently took part in semi-structured interviews. The study draws on the notion of human agency from the sociocultural perspective to understand the coping strategies of the Vietnamese overseas-educated returnees in response to the challenges they encountered.

The results show that the returnees' motivations to conduct research varied, fuelled by passion, but constrained by multiple factors. Time constraints, heavy teaching loads, familial roles and lack of specialized equipment are key inhibiting factors in re-engaging in research for these returnees. Addressing them necessitated a great deal of readaptation, renegotiation and agentive resilience on the part of the returnees in employing different coping strategies to pursue research.

The paper argues for a subtle understanding of the returnees' experience of re-engaging in research that is both complex and contextual. Implications are drawn for research development in the regional Vietnamese HE context and perhaps in other similar settings.

There is little empirical knowledge about how Vietnamese returned graduates – university lecturers – continue doing research after their return. Also underexplored in global discourse is research on foreign-educated returnees doing research, while they are an important source of human resources. The present study, therefore, fills these research gaps.

The research aims to assess the relationship between ecological innovation, green productivity, sustainable development and agricultural productivity in Vietnam. The agricultural sector of Vietnam has been observed with new opportunities which have fostered its productivity and growth.

The study uses a range of methods where initially, the researcher used descriptive analysis, cointegration and unit root tests. Secondly, Quantile Autoregressive Distributed Lag (QARDL) is used to assess the short and long run effects. The QARDL methodology is employed to capture the relationship between variables. Through this approach, the researcher is able to examine the scale of the interaction between dependent and independent variables.

The unique findings drawn through statistical techniques are also a great addition to the context of literature related to Vietnam’s agricultural productivity. Practical insights can also not be denied as the study provides beneficial guidelines for Vietnam’s agricultural sector to refine agricultural productivity.

Scholars are advised to use strong literary techniques to overcome these limitations and give a more thorough investigation into the same ideas. The availability and dependability of data was one of the primary challenges in carrying out this study. Vietnam has made significant advances in the collection and documentation of agricultural data, but there might still be gaps in the availability of thorough and current data on ecological innovation, green production and sustainable development.

Vietnam’s unique socioeconomic, cultural and environmental features influence how ecological innovation, green productivity, sustainable development and agricultural production are interconnected. Consequently, consideration should be taken when applying the results to various scenarios.

Based on the resource-based view (RBV) and the signaling theory, this paper examines the effect of media reputation on financial performance as well as the moderating role of bank characteristics (risk management and financial capacities) in this relationship, using Vietnamese commercial bank data for the period 2007–2018.

We rely on the agenda-setting theory to measure the media reputation of banks. Return on average equity (ROE) is used as a proxy of financial performance. We regress financial performance on media reputation with fixed effects to control unobserved variables. In addition, the instrumental variable (IV) method is applied to deal with the endogeneity problem. We use the change in bank logo as an IV for media reputation.

We find that media reputation has a positive effect on financial performance. This effect becomes prominent for large banks, listed banks or banks that demonstrate good risk management capacities, and is particularly strong when we control for endogeneity bias. The effect of media reputation on financial performance is transmitted through the non-performing loan (NPL) channel.

The research findings further endorse the positive impact of media reputation on financial performance in the low-quality institutional settings. Moreover, these findings expand the existing knowledge regarding the relationship between media reputation and financial performance by affirming two strategies which could be used to leverage the contribution of media reputation including improving banks' risk management capacities and raising financial capital.

This is the first known paper to examine the effect of media reputation on financial performance in commercial banks in an underdeveloped institutional setting while exploring the moderators in this relationship. This study, therefore, provides insightful implications for different bank segments in managing NPL and taking advantage of media reputation as a potential resource of financial performance.

The purpose of this study is to provide a comprehensive overview of sustainable fashion consumption from a consumer behavior perspective, combining scientometric analysis and the SPAR-4-SLR protocol to identify trends, key contributors and research gaps in the field.

The study analyzes 114 articles published between 2014 and 2024, sourced from the Scopus database. A hybrid approach is used, employing VOSviewer and Rstudio for quantitative analysis, along with the theory-context-characteristics-methodology framework to systematically review constructs, theories, contexts and methodologies in the selected articles.

The findings highlight critical insights into consumer behavior regarding sustainable fashion and identify gaps in the literature. The study also provides performance indicators, including publication trends and citation metrics, visualized through tables and maps. It offers practical guidance for businesses and policymakers to promote sustainable consumption practices.

This research contributes to the field by integrating scientometric and systematic review methods, providing a novel approach to understanding sustainable fashion consumption. It also suggests future research directions and explores how benchmarking techniques can enhance consumer engagement and sustainability strategies.