Recently, there has been a lot of buzz on social media, particularly in the form of vlogs, about newly launched semi-high speed trains in India popularly known as Vande Bharat Express. However, no information is available about the extent to which people trust the vlogs promoting the trains and the trains themselves. Therefore, this research aims to investigate the impact of watching vlogs about semi-high speed trains on the trust and attitude towards them, and how they perceive the risks associated. This study is guided by the trust transfer theory to investigate how trust transference can lead to a traveler’s intent to use semi-high speed trains. This study involved 338 participants. The relationship between variables was examined using SmartPLS 4 software. The findings indicate that trust in semi-high speed trains can be established through vlogs leading to intention to use. On the theoretical side, it provides insight into how trust, attitude, and perceived risk can affect the adoption of new technology, while on the practical side, it helps to understand how vlog coverage can be used as a tool to increase trust and ultimately drive adoption. Vlog coverage, trust in vlog content, trust in semi-high speed trains and behavioural intention altogether are not well understood in current literature despite the important implication for managers, academicians and consumers alike. This study contributes to the field of transportation and railways, social media and communication, and hospitality and tourism research. The study helps policy makers to understand users’ characteristics regarding the latest social media tools and adopt them accordingly to provide a better governance policy.

Consumer satisfaction can be defined as the user’s response to a service or experience compared to the user’s expectations and perceived practical benefits. After reviewing consumer satisfaction models, it can be argued that there is no single model of consumer satisfaction assessment that is suitable for every service and every region of the world, as the causes and outcomes of satisfaction often vary. The research is original in its methodology: at the beginning, a theoretical research model is presented, then hypotheses are formulated, and correlation, factorial, regression analyses were made, which results confirmed hypotheses. The crop insurance system consists of relations between the state institution regulates insurance activities, farmers, insurers and insurance intermediaries. The aim of this article is to identify the factors that determine consumer satisfaction with crop insurance and to assess their impact. The empirical study found that consumer satisfaction is determined by the factors of recognizable value, functional (process) and technical (result) quality, consumer expectations, and image. The most important factors that determine consumer satisfaction of crop insurance are recognizable value, functional quality, and consumer expectations. Consumer satisfaction can be assessed by the cost paid and the quality received, the quality expected, and the consumers’ evaluation of the services. It was found that the socio-demographic elements of consumers do not have a decisive influence on the factors that determine service satisfaction and consumer satisfaction. It is also established that socio-demographic elements of consumers (farmer experience and insurance experience) have direct statistically significant but weak links with consumer satisfaction.

Money laundering has become a vital issue all over the world especially in the emerging economy over the last two decades. Till now, the developing and emerging countries face challenges about the remedies and inceptions of anti-money laundering issues. The objective of the study is to provide a thorough picture of the diversified movements of academic research on money laundering and anti-money laundering activities all over the world. This study aims at exploring the contemporary issues in Anti-money laundering based on the academic points of view. Further, the study is explored to render a portrayal of anti-money laundering activities from an emergency country context. A review of publicly available reports, published documents, daily newspapers, case studies, and previous academic research comprised the main sources of data for the study. It is found that the contemporary money laundering and anti-money laundering academic research might be classified into four broad categories. An emerging country like Bangladesh has taken little initiative to inductee anti-money laundering initiatives. It implies that for the successful implementation of anti-money laundering activities, good governance along with a congenial regulatory framework is a prerequisite in an emerging country context. In addition, the machine learning may enhance the quality of money laundering detections in Bangladesh.

Amidst China’s escalating aging population challenge, the efficacy and quality of private elderly care services are garnering increasing scrutiny. This research focuses on evaluating how service quality and customer perceived value influence the loyalty of elderly clients, with customer satisfaction acting as a mediating factor. Grounded in established service quality frameworks and loyalty theories, the study utilizes a quantitative methodology, administering surveys across eight private elderly care institutions in H city, China. A total of 600 surveys were collected, providing a comprehensive data set that encompasses five dimensions of service quality—tangibility, assurance, responsiveness, reliability, and empathy—as well as customer perceived value, satisfaction, and loyalty. Structural Equation Modeling (SEM) was employed to validate the hypothesized relationships. Findings reveal that service quality significantly boosts customer perceived value and satisfaction, which in turn markedly enhance customer loyalty. Notably, customer satisfaction emerged as a crucial mediator between service quality and loyalty, as well as between perceived value and loyalty. This study not only advances theoretical understanding of service quality impacts but also offers actionable insights for enhancing service delivery and customer loyalty in the context of private elderly care.

Human resources are considered an important resource for companies today because the knowledge that a person has can be used to become an organisation’s competitive advantage. In addition, digital marketing has an important role in determining the performance of business entities because we have now entered the digital era, which certainly cannot be separated from the influence of technology on marketing through social media. Therefore, this study aims to examine the effect of Strategic Human Resource Management (SHRM) in digital marketing on business entity performance, which is determined by digital marketing in a business entity. The data in this research was collected by distributing questionnaires to 455 Micro Small Medium Enterprises (MSMEs) in Indonesia. Data analysis used the Moderated Regression Analysis (MRA) method. The research results show that strategic human resource management variables influence business performance, and the support of digital marketing capabilities and activities strengthens this influence. Based on the results of this research, existing business entities must strengthen organizational performance by strengthening human resources in basic soft skills and hard skills and skills in digital marketing and improving marketing activities using digitalization.

To evaluate the efficiency of decision-making units, researchers continually develop models simulating the production process of organizations. This study formulates a network model integrating undesirable outputs to measure the efficiency of Vietnam’s banking industry. Employing methodologies from the data envelopment analysis (DEA) approach, the efficiency scores for these banks are subsequently computed and comparatively analyzed. The empirical results indicate that the incorporation of undesirable output variables in the efficiency evaluation model leads to significantly lower efficiency scores compared to the conventional DEA model. In practical terms, the study unveils a deterioration in the efficiency of banking operations in Vietnam during the post-Covid era, primarily attributed to deficiencies in credit risk management. These findings contribute to heightening awareness among bank managers regarding the pivotal importance of credit management activities.