ABSTRACT
Business activities using social media are currently growing and its development has intrigued practitioners and academics. The purpose of doing this present research is to build a conceptual model, which connects the concepts of customer perceived value and customer experiences with the concept of customer relationship quality to produce sustainable customer intention in social media commerce. Considering the results of two exogenous constructions, namely customer perceived value and customer experience, it can be concluded that both have an impact on relationship quality and customer sustainable intention. In this study, there are six hypotheses, consisting of five accepted hypotheses and one rejected hypothesis. After doing a deeper analysis, it is revealed that good relationship quality determines the significance of sustainable customer intention. In addition, this conducted research examines and experimentally confirms the role of customer perceived value and the customer experience in determining relationship quality and sustainability of customers founded in social media commerce. The novelty shown in this study lies in the integration of two exogenous variables, namely customer perceived value and customer experience, with the variables of relationship quality and customer sustainability intention. Finally, the findings provide theoretical, managerial, and social value and impact for academics, practitioners, and society.
ABSTRACT
Under the impact of COVID-19, medical telelearning education is increasingly becoming urgent to resolve the contradiction between the physical isolation of medical students and the need for on-site clinical teaching. In this study, the push-pull-mooring (PPM) theory is integrated into a comprehensive model as a conceptual PPM framework: push factors (information system quality and perceived risk), pull factors [telepresence (TP), trust, etc.], mooring factors (switching costs), and switching intention. The results show that most hypotheses were positive, but perceived risk did not influence user satisfaction significantly, and switching costs did not provide the impact on switching intention. This study provides a comprehensive empirical analysis of key factors influencing the choice of distance education by medical students through the integrated multi-model framework.
ABSTRACT
Electronic government has played an essential role in citizen policy strategy, especially during the COVID-19 pandemic. As part of citizen and government interaction, companies can utilize electronic government facilities to establish direct communication and maintain service quality by integrating new technologies and facilities in electronic government which can provide service via online, embedded with social media integration, implemented with mobile service, using personalized user accounts, e-participation service integration, in combination with ongoing citizen information. Therefore, electronic government facilities must adapt and choose the right content to promote strong citizen relations, leading to citizen behavior to make long-term use of electronic government facilities. This study considered and integrated the latest technology from electronic government and associated it with connection quality. Sustainable motives and faithfulness were used to quantify the quality of citizen relations to electronic government facilities, which can influence the results of citizen behavior. The SmartPLS 2 software was used to quantify and estimate 425 online questionnaire surveys. The results showed that of the 12 hypotheses, eight hypotheses were declared to have a significant effect, consisting of H1, H2, H6–H8, and H10–H12, while the other four hypotheses were stated to have no significant effect, namely H3–H5, and H9. This study was used to guide the government as a provider of electronic government facilities to adapt and provide content following the dimensions of the latest technology to achieve goals and produce sustainable implementation.
ABSTRACT
Establishing a blockchain food traceability system (BFTS) is increasingly important and urgent to resolve the contradiction between consumers' intention regarding safe food selections and the spread of polluted foods. Using the advantages of blockchain, such as immutability, decentralization, openness, and anonymity, we can build trusted food traceability systems based on these important characteristics. With reliable information, traceability from production to sales can effectively improve food safety. In this research, multiple models, namely, the information success model (ISS) and the Theory of Planned Behavior (TPB) are formed into a conceptual integrated framework to study the intentions' influenced factors of BFTS technology for Chinese consumers to help ensure food safety and the quality of Chinese organic food products. A face-to-face questionnaire survey with 300 valid responses was analyzed by Partial Least Square from the Chinese consumers focusing on the organic food products. This study found that the attitude and perceived behavioral control qualities significantly and positively affect the usage intention in adopting BFTS, while the subjective norms are positively but not significantly correlation with the usage intention in using BFTS. The above results will inform suggestions for productors and academics along with implications to promote BFTS' usage intention.