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.

Today, the ever-changing technology development is bringing an impact to the Malaysian retail industry. Smart Retail Technology is one of the outcomes of Industry Revolution 4.0 to deepen integration between digital and physical characteristics that can serve extraordinary shopping experiences in brick-and-mortar stores. Smart retail technology is attaining greater attention in the information system literature. In this study, the researchers aimed to investigate the relationships between perceived usefulness (PU), perceived ease of use (PEOU), perceived enjoyment (PE), perceived risk (PR), attitudes (ATD) and behavioral intentions towards smart retail technology (BI). The 170 respondents were collected through an online survey and processed in the PLS-SEM data analysis. The results indicated that perceived ease of use is the main variable influencing people's acceptance of SRT, followed by perceived enjoyment. However, perceived usefulness and perceived risk performed insignificant roles to link with attitudes and behavioral intentions towards SRT. This study provided some insightful implications for both academicians and practitioners to understand the current situation of smart retail technology in developing countries, especially Malaysia.

Recently audio and video material has been used significantly in various online platforms. The audio-video materials enhance the teaching and learning process by facilitating the transformation of the data and providing a richer interactive environment, hence gaining wide intention within the educational realm. However, empirical studies have not examined the acceptance of the audio and video material depending on a conceptual model where acceptance is the key factor. The present study attempts to overcome this gap in the literature review by investigating the effects of media richness, speed and vividness, perceived concentration, perceived ease of use, perceived usefulness on the acceptance of audio-video material. What distinguishes the current study is the fact that content richness is considered as a mediator that affects all other factors in the conceptual model. The data is collected by distributing the online survey to college students. The results provide mostly insight and support for students’ intention to use audio-visual resources in a conceptual model. The technology characteristics of speed and vividness as well as TAM constructs were significant predictors of technology acceptance. However, it is concluded that the external factor of the perceived concentration has no impact on the students’ perception and intention to use audio-visual resources. In the recommendation, some theoretical and practical implications are stated along with the focus on technology designers, change managers, and users.