In this paper advanced Sentiment Analysis techniques were applied to evaluate public opinions reported by rail users with respect to four major European railway companies, i.e., Trenitalia and Italo in Italy, SNCF in France and Renfe in Spain. Two powerful language models were used, RoBERTa and BERT, to analyze big amount of text data collected from a social platform dedicated to customers reviews, i.e., TrustPilot. Data concerning the four European railway companies were first collected and classified into subcategories related to different aspects of the railway sector, such as train punctuality, quality of on-board services, safety, etc. Then, the RoBERTa and BERT models were developed to understand context and nuances of natural language. This study provides a useful support for railways companies to promote strategies for improving their service.

Participation in the implementation of green values that are becoming a global norm often experiences challenges. In response with trends of social media use, a study of barriers to green product purchase intention among social media users is conducted. By descriptive qualitative approach, three keywords are employed, namely: (1) “barriers to green consumption”; (2) “barriers of purchase intention; and (3) “social media use and barriers to green consumption”. The findings reveal: (1) the study of barriers to green product purchase intention among social media users has been gaining importance for future research; (2) the potential future research area includes: (a) the level of belief in green products purchase intention that explains the rationalization of green consumption (green knowledge); and (b) the use of digital media through the role of social media in promoting green consumption (green promotion). The theoretical implication emphasizes contribution to the theory of sustainable marketing, namely barriers as dynamics of market interactivity that are capable of generating responsiveness leading to business competitiveness. While practical implication is shown in business efforts to transform challenges into opportunity.

The development and expansion of economies depend heavily on entrepreneurship, and Malaysia is no exception. Understanding the underlying elements that impact the success or failure of user adoption behaviour of online shopping activities is significant since entrepreneurship is critical in driving economic growth and innovation. The study includes 73 articles published from 2004 to the last of 2023 from Science Direct, Scopus, Google Scholar, and Web of Science. We utilised qualitative methods and systematic review issues through the findings of “qualitative” studies as the last step inside a systematic review using Nvivo14. Our study’s result illustrated that applying the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) in Malaysian e-commerce validates the relevance of established theoretical frameworks. This study explores the relationship between 20 independent variables and five mediator factors, with dependent variables, e-commerce in Malaysia. The results highlight the intricate relationships between these variables and their importance for companies, decision-makers, and other stakeholders involved in Malaysian infrastructure financing. This review provides legislators, educators, researchers, and businesspeople with new knowledge in Malaysia so that decision-makers, investors, and aspiring entrepreneurs can make informed decisions.

Public recreation hubs play an important role in enhancing physical activities, social contacts, and the health status of a community. The quality of the experience in such a setting influences user satisfaction and dedication; however, there are limited studies that can adapt well-advanced conceptual frameworks to capture unique characteristics of the public recreation feature. This study investigates user expectations and perceptions of service quality within public recreation hubs in Gauteng Province, South Africa. Data collection was obtained through a cross-section of 385 respondents using a SERVQUAL instrument from 22 recreational hubs. Various statistical analyses were performed, of which the EFA produced a nine-factor solution and not the customary five SERVQUAL dimensions. Important findings include the emergence of an intersection of the constructs of empathy and assurance, thereby suggesting that the dimensions are perceived as connected in the context of relational services. In addition, program quality and community engagement came out as two other important dimensions, representing the expectation for pluralism in provision, or inclusiveness and participation. Demographic differences were significant, gender differences existed in the perception of tangibles and reliability. It provides useful recommendations for managers of recreational hubs and policymakers. It could improve tangible factors with standard maintenance activities, improved infrastructure, and coordinated operational routines that improve its reliability. Targeted training among the staff for empathy and reassurance, and programming targeted to meet demographic needs, can be helpful in serving the various needs. Community building strategies, such as participatory planning and outreach programs, help make the people who feel included in them and loyal to facilities stay. It will not only help in offering better service delivery but also ensure that facilities within such public recreation hubs last long. This work contributes to service quality theory because it applies the SERVQUAL framework in a community-based recreational environment and shows its practical benefit in service delivery improvement of public services. Further work should adopt longitudinal methods and multi-regional analyses in the development and refinement of such findings to enhance generalisability across settings. Results have important implications for the development of user-focused, sustainable public recreation services compatible with changing community needs.

The benefits of information system users are an important topic in research on information system implementation in general as well as in hospital information systems in particular. The study is applying structural equation modelling in determining the factors affecting personal benefits of information system users, with the antecedents being the combination of perspectives, and the outcomes including individual user results of the system in hospitals. The study was conducted in two phases: a preliminary study and a formal study. The preliminary study aimed to adjust and supplement the observed variables to be suitable for the actual conditions in Vietnam by conducting a preliminary survey with a questionnaire involving 55 samples to assess the internal consistency reliability, convergent validity, and discriminant validity of the measurement scales. The formal quantitative study, which employed linear structural analysis with PLS-SEM, was conducted on 215 samples of individuals who had previously used information systems in several hospitals in Vietnam. The proposed model explained 80.6% of the variance in user engagement with the system and 50.6% of the variance in user satisfaction when using the information system. In more detail, for user benefits, it is worth noting that the strongest impact intensity belongs to information quality and the weakest belongs to support structure. In addition, confidence in one’s own abilities also has a high impact on user benefits when using the information system.

The purpose of this study is to predict the frequency of mortality from urban traffic injuries for the most vulnerable road users before, during and after the confinement caused by COVID-19 in Santiago de Cali, Colombia. Descriptive statistical methods were applied to the frequency of traffic crash frequency to identify vulnerable road users. Spatial georeferencing was carried out to analyze the distribution of road crashes in the three moments, before, during, and after confinement, subsequently, the behavior of the most vulnerable road users at those three moments was predicted within the framework of the probabilistic random walk. The statistical results showed that the most vulnerable road user was the cyclist, followed by motorcyclist, motorcycle passenger, and pedestrian. Spatial georeferencing between the years 2019 and 2020 showed a change in the behavior of the crash density, while in 2021 a trend like the distribution of 2019 was observed. The predictions of the daily crash frequencies of these road users in the three moments were very close to the reported crash frequency. The predictions were strengthened by considering a descriptive analysis of a range of values that may indicate the possibility of underreporting in cases registered in the city’s official agency. These results provide new elements for policy makers to develop and implement preventive measures, allocate emergency resources, analyze the establishment of policies, plans and strategies aimed at the prevention and control of crashes due to traffic injuries in the face of extraordinary situations such as the COVID-19 pandemic or other similar events.