The influence of social media in providing the information is undeniable in the current era. How the information is received is then processed as a helpful reference in deciding the purchase is always an exciting thing to discuss. Based on Self-Determination Theory (SDT), in this study, we examined how motivation arises in the form of fear if left behind or not involved in an excellent condition when consuming a product—through quantitative. Data approach collected from 231 sample people, then processed with Structural Equation Modeling using AMOS 23 through Confirmatory Factor Analysis and Model Fit Testing. The study results confirm that social media content can increase fear of missing out (FOMO), encouraging consumers to make purchases. The results of this study show that purchasing decisions influenced by FOMO can provide satisfaction for consumers. Situational Determinants, namely Perceived favorability and Self-relevance can significantly influence FOMO compared to personal traits (fears, worries, and anxieties). The results of this study are in line with Self Determination Theory, where the personal motivation of consumers in making purchases will encourage the creation of satisfaction.

Universities are an integral part of the skills and innovation supply chain for businesses that are multidimensional, sustainable, quality, and enduring in the long term. In pursuing this role, universities are encouraged to establish a university-industry cooperation (UIC) context that supports faculty and students to engage in business activities. Collaboration is very important for universities, because universities are not only research universities, but must reach the level of learning colleges. The results of the research found that implementing UIC regulations affected the performance of university academic innovation, it also found that the knowledge management mechanism was an important factor to improve the performance of university academic innovation, and the implementation of regulations also played a role in developing knowledge management and performance of university academic innovation.

This research is intended to measure the influence of Social Media Marketing which uploads tourist destinations in Banten Province with interest in visiting mediated by perceived value. The research method uses a hypothesis testing model and uses a cross sectional model, where data is collected completely within a certain time. The study uses a convenience sampling technique, where the sample members are respondents who are easy to find, and this convenience makes data collection more effective and efficient since it saves time and costs. The sample in this study were 290 tourists who had visited Banten Province. The technique of collecting data in this study used an online questionnaire, data analysis using structural equation modeling (SEM) using SmartPLS 3.0 software. The study concluded that there was a significant relationship between Social Media Marketing and Perceived Value. There was a significant relationship between Social Media Marketing and Visiting Interests. There was a significant relationship between Perceived Value and Visiting Interests.

This study aims to determine the effect of e-service quality on customer e-satisfaction, the effect of e-trust on customer e-satisfaction, the effect of e-service quality on customer e-loyalty, the effect of e-trust on customer e-loyalty and finally, the effect of e-satisfaction on online shop customer e-loyalty. The type of research used in this research is correlational research with a quantitative approach and testing the research hypothesis was carried out by using the Structural Equation Model (SEM) approach based on Partial Least Square (PLS). The sample or respondent used in this study is 432 consumers of online shops in Banten, Indonesia. The results show that E-Service Quality had positive but not significant effect on E-Satisfaction, E-Trust had a positive but not significant effect to E-Satisfaction, E-Service Quality had a positive but not significant effect towards E-Loyalty, E-Trust had a negative but not significant effect to E-Satisfaction and finally E-Satisfaction had a positive but not significant effect on E-Loyalty.

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.

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.

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.

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.

The purpose of this study was to determine the effect of ease of use, transaction success rate, and technological system capability on trust and to determine the effect of ease of use, transaction success rate, technology system capability and interest in transaction using mobile banking. This research was conducted at PT Bank NIAGA which is located in Denpasar. The data collection technique used a questionnaire to 160 PT Bank NIAGA customers who were selected as samples. Data were analyzed by Structural Equation Modeling (SEM) with AMOS program. Ease of use, transaction success rate, and technology system capability have a positive and significant influence on trust and interest in transacting using mobile banking. This means that the better the ease of use, the success rate of transactions, and the capability of the technology system, the higher the customer trust and interest in transactions using mobile banking.

The purpose of this study is to analyze the influence of social media marketing, product innovation, market orientation on marketing performance. The study uses quantitative methods and data analysis techniques are based on Structural Equation Modeling using SmartPLS 3.0 software. The sample selection method uses the snowball sampling method. Online questionnaires are sent to 320 SMEs in Banten Province, where 300 responses are used. The results of data analysis show that social media marketing has a significant effect on marketing performance, product innovation has a significant effect on marketing performance and market orientation has a significant effect on marketing performance.