The connectivity and dependency between various connected locations has become stronger as the rate of urbanization and economic expansion has accelerated. Transport has played a critical role in promoting the flow of economic benefits and growth across linked geographical areas since its origin. Therefore, the purpose of this paper was to provide deeper insights into the relationship between service quality and client satisfaction by exploring the mediating and moderating role of service quality and quality pursuer on client satisfaction. The research used quantitative approaches and employed a non-probability sampling technique. The 240 samples were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings show that there is a positive relationship between, assurance, responsiveness, convenience, and service quality. Conversely, findings show an insignificant relationship between empathy and service quality. Findings specify that service quality mediate the association between assurance, responsiveness, convenience, and client satisfaction. Nevertheless, the study observed an insignificant mediation effect of service quality on the linkage between empathy and customer satisfaction. The findings specify that quality pursuers have a significant moderating effect on the relationship between service quality and client satisfaction. As a result, the findings of this present research give useful information for improving client satisfaction and the role of long-term viability of the high-speed rail business in the national economy. This research offers valuable insights for transportation agencies by examining the link between service quality attributes and passengers’ intentions to reuse services, aiming to enhance the provided service, boost ridership, and support the implementation of sustainable transportation policies. The study recognizes certain limitations, such as the restricted sample size and the diverse characteristics of high-speed rail passengers, which may skew the understanding of how service quality affects customer satisfaction and subsequent behaviors. Our results suggest that satisfaction levels among passengers could differ based on the specific routes taken and the types of seating arrangements offered. Consequently, authorities should priorities service quality and its four important characteristics.

This study investigates how digital supply chain transformation affects enterprise performance in Guangxi’s manufacturing sector, with a focus on Electric Vehicle (EV) enterprises. Utilizing the quantitative research approach, data was collected through a questionnaire survey from 197 respondents including the manufacturers, distributors, and suppliers of the Guangxi Electric Vehicle Manufacturing Industry. To test the reliability, correlation, regression, and discriminant validity assessments the structural equation modeling is used by applying the SmartPLS 3.0. The results revealed that there is a strong correlation between agile capability, digital transformation, innovation capability, and enterprise performance. All the structured hypotheses tested significantly positive, though, digital supply chain transformation positively influences enterprise performance in Guangxi’s manufacturing industry, emphasizing the importance of agile capability, digital transformation, and innovation capability. This study highlights the importance of digital supply chain transformation in improving business performance in the Guangxi manufacturing sector. It serves as a guide for policy decision-makers and investors while they are planning their future investments, especially on issues about the optimization of supply chain operations.

The COVID-19 pandemic has brought about a significant transformation in the global educational landscape, which has far-reaching implications for learning systems. This study focuses on the impact of the pandemic on India’s education sector, exploring its long-term consequences. The research delves into the enduring effects of COVID-19 and how it has reshaped traditional educational methods. The Indian education system has undergone a dynamic evolution, from the rapid integration of digital technologies to the redefinition of pedagogical approaches. The study employs surveys to comprehensively assess the multifaceted dimensions of adaptation. By synthesizing qualitative insights from 386 respondents, the research aims to contribute to a better understanding of the challenges, opportunities, and long-term implications of COVID-19. The hypothesis results show a significant difference among genders for factors 2 (consequences of COVID-19 on teachers, students, and teaching), 3 (impact of COVID-19 on education), and 4 (education system responses to COVID-19). In contrast, factor 3 is significant for education. Likewise, awareness factors 1 and 3 show that factors 1 (policies and strategies on education during COVID-19) and 5 (possible solutions and implementation) are significant for an application. Finally, binary logistic regression demonstrates that for gender factors three, education factors four, and five, online participation is significant for awareness factors one, three, and four. However, all of the factors are insignificant for an application. These findings can guide policy decisions, inform educational practices, and lay a valuable foundation for future research endeavours to shape a resilient, equitable, and innovative educational future.

Public transportation is vital for meeting the mobility demands of rapidly expanding Southeast Asian countries. To create effective transportation policies and support sustainable urban movement, it is essential to understand the factors driving individual’s choice decisions about transportation modes. This review paper seeks to establish a behavioral theory-based conceptual framework that thoroughly examines and finds the primary influences on individual mode choices within Southeast Asia. We propose a two-stage framework that blends the ‘Theory of Planned Behavior (TPB)’ with the ‘capability, opportunity, and motivation-behavior (COM-B) model’. This synthesis enables the consideration of a broad spectrum of individual-level factors affecting public transport preferences. Ultimately, this review enhances existing knowledge and provides guidance for future research and policy initiatives aimed at fostering sustainable transportation systems across Southeast Asia.