This study aimed to determine and prioritize the critical barriers to supply chain resilience (SCR) in Vietnamese small and medium-size enterprises (SMEs), which play a crucial role in the global supply chain. Through a systematic literature review and expert consultation, 15 barriers to SCR were identified and evaluated by using the fuzzy VIKOR (ViseKriterijumska Optimizacija I Kompromisno Resenje) method. The findings provide novel insights into the challenges of enhancing resilience in the Vietnamese supply chain and categorize the barriers into three main categories: the resilience phase, strategy resilience, and the competencies required. The results indicated that a lack of financial resources and alternative sources of supply are the most pressing barriers related to the resilience phase group. In terms of strategy resilience, the lack of a skilled and competent workforce was found to be the most critical obstacle. Furthermore, government delays in supporting and enacting appropriate policies were found to be the most pressing issue related to the competencies required. These findings offer valuable recommendations for managers seeking to address these barriers and enhance the resilience of the Vietnamese supply chain after COVID-19. By prioritizing and solving these critical obstacles, Vietnamese SMEs can better prepare for and recover from potential challenges in the future.

This study aims to explore the impact of key drivers on the integration of blockchain technology implementation and green innovation practices within green supply chains. This study combines the TOE and TAM frameworks to identify six key driving factors that in the proposed model. A survey was conducted with Vietnamese enterprises, resulting in 328 valid responses from senior managers across various sectors. The PLS-SEM approach was conducted to analyze the relationships between the variables and to gain deeper insights into their interactions. The research findings highlight the significant potential of adopting blockchain and green innovation programs to enhance organizational performance. Six essential factors act as key drivers for implementing these initiatives, exerting a positive influence. Among them, Perceived Usefulness, Organizational Readiness, and Partnerships emerge as the three most influential variables within this research framework. Our research offers several valuable implications, both theoretical and practical. The structural framework model provides empirical evidence demonstrating the feasibility of achieving expected benefits for green supply chains, particularly in emerging economies such as Vietnam. Thus, these results serve as valuable references for senior managers and policy makers.

The study aims to evaluate the factors influencing digital technology transformation in Taiwanese family companies. Data were obtained from nine Taiwanese experts with extensive expertise in family businesses and analyzed using the TOPSIS approach. The research findings identify twelve essential factors that influence digital technology transformation and provide the best recommendations for organizations. The study identified and analyzed four key elements deemed most critical in influencing the digital transformation of Taiwanese family businesses: education and training, technological complexity, technological advancements, and management support. Importantly, the organizational group is the primary driver of digital transformation through the case of Taiwanese family enterprises. This study adds to the existing literature by identifying the most essential criteria and ranking them. The Taiwanese family enterprises should use this model cautiously, considering the potential relationships among group factors in the TOE model. Moreover, the findings also offer potential suggestions for policymakers to enhance the integration of digital technologies across all facets of society and business.

Live streaming has become an emerging business with a firm performance. We investigated the key factors that attract audiences to watch live streaming in the Taiwanese manufacturing industry. Nine experts in manufacturing and social media marketing participated in this study. The analytic hierarchy process (AHP) was employed to evaluate the key factors. Three main determinants were determined as a result, including audience motivation, pricing, and branding, each of which was further divided into three sub-factors. Consequently, the results revealed that the most essential factors of these three clusters were social aspects, brand design, and business trend analysis. The results also allow for an understanding of how traditional manufacturers have utilized live streaming to promote products and engage with their audience. These findings serve as a reference for Taiwanese manufacturers to incorporate live streaming into their business promotion strategies.