This study aims to empirically investigate the most influential factors that affect the adoption of Mobile commerce (m-commerce). in Jordan. The factors explored in this study are: Perceived Risk (PR), Perceived enjoyment (PE), perceived ease of use (PEOU), relative advantage (RA), and social Influence (SI). A conceptual framework was proposed to show relationships between variables. Data was collected using surveys collected from 358 participants. Hypotheses were tested using a Structural Equation Modeling [SEM] and the results showed that all independent variables being investigated had significant effects on users' intention to adopt mobile commerce in Jordan. Based on the research findings, several recommendations and implications were reported for academics and companies. Suggestions for future research were also provided.

This research aims to analyze factors affecting e-banking user satisfaction and e-banking user loyalty during Covid-19 pandemic with e-banking service quality that consists of reliability, privacy and security, design on application or website, and customer service and assistance as the independent variables, while the dependent variables in this study are e-banking user satisfaction and e-banking user loyalty. This research was viewed based on an e-banking user perspective. This research used nonprobability sampling and purposive sampling. This research is a quantitative study using primary data based on a questionnaire distributed online to 110 e-banking users like respondents. The hypothesis testing in this study used the SPSS analysis tool through the IBM SPSS Statistics Version 22 application. The result illustrates that e-banking service quality, reliability, and design on application and website influence both e-banking user satisfaction and e-banking user loyalty. Meanwhile, privacy and security only influence e-banking user loyalty, not on e-banking user satisfaction. Furthermore, customer service and assistance have no effect on both e-banking user satisfaction and e-banking user loyalty during the Covid-19 pandemic.

This research aimed to investigate the impact of social commerce on online purchase intention. The mediation role of trust in social network sites between social commerce and online purchase intention was explored. Dataset obtained from 467 Jordanian users of social network sites. PLS-SEM was conducted for analysis purposes. The findings reveal that social commerce and trust in social network sites directly affect online purchase intention. The findings have additionally shown that trust in social network sites has a mediating role between social commerce and online purchase intention. The main recommendation to companies is to derive significant benefits from social commerce and consider them to maximize the potential level of online purchases. Suggestions for further studies are mentioned at the end of the study.

The Covid-19 pandemic has a huge impact on the economy, which causes a substantial decline in the tourism sector. On the other hand, the detrimental impact of proactive measures taken to control the Covid-19 pandemic has had a negative impact on all industries around the world including tourism. Therefore, the purpose of this study is to learn on how trust can have an impact on the intention to revisit during the Covid-19 pandemic. The study uses 125 respondents from domestic tourists who visited Bali during the Covid-19 pandemic and had come to Bali before the Covid-19 pandemic. The study uses PLS as a statistical analysis. Our survey shows that while destination image influences intention, it does not have any meaningful effect on trust. Also, trust influences on intention, and experience influences positively on both trust and intention. In our survey, while social media marketing influences significantly on intention, it has no meaningful effect on trust.

This study investigated the continuous intention to use digital payment solutions in online transactions to mitigate the spread of the COVID-19 virus. Primary data was collected from individuals using digital payment systems in Bangkok, Thailand using a structured questionnaire from a total of 400 respondents. The study adopted the Technology Acceptance Model (TAM). Data were analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) in AMOS 26. The results revealed that factors that significantly affected continuous intention to use digital payments were perceived ease of use, satisfaction, attitude, and social distancing. Satisfaction mediated the effects of perceived usefulness, perceived ease of use, and social distancing on continuous intention to use. Attitude mediated the effect of perceived usefulness on continuous intention to use. The study recommends that concerned policymakers and institutions should consider users’ satisfaction, social distancing, and perceived ease of use when developing digital payment systems.

The primary aim of this research is to determine attitudes held towards autonomous vehicles (AVs) and understand their impact on intentions to use the service among ride-hailing users in the UK. Based on the Theory of Planned Behaviour model, an online, self-administered survey was used to collect data from 151 consumers (18-24-year-olds). The relationship between variables was measured using a Spearman’s Rank test in SPSS. The results of this study found all categories (overall attitude, perceived ease-of-use, perceived value, perceived safety, perceived risk, technology, environmentalism, subjective norms, perceived behavioural control) received a positive mean score. From these results, it can be concluded that this sample holds positive attitudes towards AVs and intend to use the service when they are made available. A positive score for perceived risk, however, indicated that this group thought there may be safety concerns when using this technology. The main contribution of this study is providing data to a new, and rapidly evolving field of research and thus the findings of the present study contribute to ongoing research related to consumers attitudes of AVs. Managerially, companies that focus on developing and implementing AV taxis need to focus more on the safety benefits of such vehicles.

The coca leaf has many uses in the Peruvian culture. Although there are legal usages, people employ coca for illicit business. The most infamous illegal use is cocaine production. The cocaine business is highly profitable, but it harms human health. Then, what are the determinants of cocaine price? The current analysis aims to get the variables with the capability to explain the cocaine prices in Peru. The period analyzed is 2003-2019. The study gathered variables from DEVIDA and UNDOC databases. The Lasso technique selected the variables with the best capability to predict cocaine price. Those variables were: ENACO acquisition, coca seizures, and coca crops. OLS, VAR, and Granger analyses employed those variables to analyze the relationship between them. According to the OLS analysis, both ENACO acquisition and coca crops had adverse effects on cocaine prices, while coca seizures were positively related to the cocaine price. VAR analysis showed that only ENACO acquisition had a short-term relationship with the dependent variable. Moreover, it showed that the whole set of variables influenced the dependent variable. The Granger analysis proved that there was a cause-effect relationship between ENACO acquisition and cocaine price. Hence, the ENACO purchases expansion can rest the attractiveness of illegal groups to farmers. However, lowering cocaine prices might attract more users. Therefore, educational activities are also required.

The use of mobile payments has become a public interest during the current spread of the coronavirus. The use of mobile payments prevents society from touching the payment media. This study examines the effect of ease of use on e-WOM through the intention to use and social media community on the mobile payment method. This research was conducted by taking data through closed questionnaires designed with a five-point Likert scale. This study distributed two hundred fifty questionnaires, and 202 returned to be processed using the partial least square (PLS) technique. The results of data processing show that the ease of use of technology applications had a positive effect on the intention to use an e-WOM. Ease of use of technology has a positive effect on the social media community because of the ease of operation and understanding of the steps for using technology to access and join as members of the social media community. Intention to use in the operation of technology and relatively low cost does not directly affect e-WOM but must go through a community on social media that provides an exciting atmosphere. The social media community has a significant effect on e-WOM. The social media community can share information on social media and share reviews between members so that it creates a sense of trust and mutual concern among members. This study provides an insight into the mobile payment provider to consider the ease of use of their design. This research contributes to the ongoing research in the online payment application study in the pandemic era.

This study was designed to analyze the role of social media marketing in attracting investment capital from enterprises in the development of transport infrastructure in Vietnam. A survey of 378 Vietnamese companies operating in the sector of transport infrastructure investment was collected to compile these statistics. Based on the collected data, the factor analysis method and multivariate regression method are used to analyze the influence of factors on attracting development investment capital for transport infrastructure in Vietnam. The results of this study show that social media marketing had the greatest influence on firm satisfaction when investing in transport infrastructure; the Standardized Coefficient of the Social Media Marketing variable is 0.392. Based on that finding, some solutions to further enhance the value of social media marketing are recommended to increase the attraction of investment capital for the development of transport infrastructure in Vietnam.

Internet Shopping Optimization Problem (ISOP) is the application of optimization to online shopping activities of all complexity. The ISOP is useful for consumers in minimizing the cost of purchasing goods. This paper presents a bibliometric analysis of peer-reviewed papers based on ISOP topics by utilizing the R application program in the mapping. Overall, 101 papers (233 authors) in the Scopus database have used ISOP topics with research growth of 11.61% annually. The researcher presents a network of citations from productive authors, the impact of research, trends in terms that have been used, and shows a collaborative network of citations. Finally, the researcher presents the thematic analysis of the papers that apply the ISOP as a research topic and shows how the research forms clusters based on analytical solutions and numerical simulations that generate suggestions in finding the latest topics in the ISOP study. Another target for this paper is to produce review analysis results through Preferred Reporting Items for Systematic reviews and Meta Analyses (PRISMA). Through bibliometric and PRISMA analysis, it was found that the latest method in completing ISOP optimization is the ARC method. The ARC method in the ISOP is still little published among researchers in the world.