Key Factors Related to Cyber Security Affecting Consumer Attitude in Online Shopping: A Study in Bangladesh

Cybersecurity is an increasingly important factor in consumer attitudes toward online shopping. Online shopping has become an essential part of our lives in this digital era. As the popularity of online and e-commerce shopping continues to grow, so does the potential for cyber threats and attacks. As more and more consumers turn to online shopping, cyber threats such as hacking, identity theft, and credit card fraud have become more frequent. Therefore, understanding the factors of cybersecurity that affect consumer attitude is essential to build trust and creating a safe and sound shopping environment. This research explores the factors of cybersecurity that affect consumers' attitudes to shopping online and uses a survey to test several hypotheses related to influential cyber factors. Bangladesh is a developing country in Southeast Asia, and like many other countries, has experienced an increase in cyber threats and attacks in recent years. Consumers in Bangladesh face many of the same cyber threats, such as phasing attacks, malware, data breach, and other types of cyber security threats over online shopping. As a result of these cyber threats, online consumers are increasingly concerned about online security risks which may impact their willingness to engage in online shopping. Therefore, it is essential to identify critical factors of cyber security that impact consumers's attitudes toward online shopping to mitigate cyber risk and improve consumer trust in online shopping. This paper provides the result of a research study that will provide a better understanding of factors that influence consumer's trust and engagement with online and E-commerce platforms in Bangladesh) . © 2023 IEEE.

Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis.

BACKGROUND: eHealth and telehealth play a crucial role in assisting older adults who visit hospitals frequently or who live in nursing homes and can benefit from staying at home while being cared for. Adapting to new technologies can be difficult for older people. Thus, to better apply these technologies to older adults' lives, many studies have analyzed the acceptance factors for this particular population. However, there is not yet a consensual framework that can be used in further development and to search for solutions. OBJECTIVE: This paper aims to present an integrated acceptance framework (IAF) for older users' acceptance of eHealth based on 43 studies selected through a systematic review. METHODS: We conducted a 4-step study. First, through a systematic review in the field of eHealth from 2010 to 2020, the acceptance factors and basic data for analysis were extracted. Second, we conducted a thematic analysis to group the factors into themes to propose an integrated framework for acceptance. Third, we defined a metric to evaluate the impact of the factors addressed in the studies. Finally, the differences among the important IAF factors were analyzed according to the participants' health conditions, verification time, and year. RESULTS: Through a systematic review, 731 studies were found in 5 major databases, resulting in 43 (5.9%) selected studies using the PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) methodology. First, the research methods and acceptance factors for eHealth were compared and analyzed, extracting a total of 105 acceptance factors, which were grouped later, resulting in an IAF. A total of 5 dimensions (ie, personal, user-technology relational, technological, service-related, and environmental) emerged, with a total of 23 factors. In addition, we assessed the quality of evidence and then conducted a stratification analysis to reveal the more appropriate factors depending on the health condition and assessment time. Finally, we assessed the factors and dimensions that have recently become more important. CONCLUSIONS: The result of this investigation is a framework for conducting research on eHealth acceptance. To elaborately analyze the impact of the factors of the proposed framework, the criteria for evaluating the evidence from the studies that have the extracted factors are presented. Through this process, the impact of each factor in the IAF has been presented, in addition to the framework proposal. Moreover, a meta-analysis of the current status of research is presented, highlighting the areas where specific measures are needed to facilitate eHealth acceptance.

The Uptake and Vaccination Willingness of COVID-19 Vaccine among Chinese Residents: Web-Based Online Cross-Sectional Study.

OBJECTIVE: To investigate the uptake and vaccination willingness of the COVID-19 vaccine among Chinese residents and analyze the difference and factors that impact vaccination. METHODS: The snowball sampling method was used to distribute online questionnaires. Relevant sociodemographic data along with the circumstances of COVID-19 vaccination were collected from the respondents. The χ2 test, independent samples t test and binary logistic regression analysis were used to analyze the data. RESULTS: Among 786 respondents, 84.22% had been vaccinated. Over 80% of the vaccinated population have completed all the injections because of supporting the national vaccination policies of China, while the unvaccinated population (23.91%) is mainly due to personal health status. Meanwhile, statistical analysis revealed that the main predictors of not being vaccinated were younger age (3 to 18 years old), personal health status, and lower vaccinated proportion of family members and close friends (p < 0.05). CONCLUSIONS: There was a high level of uptake of the COVID-19 vaccine in China, and people who have not been vaccinated generally had a low willingness to vaccinate in the future. Based on our results, it suggested the next work to expand the coverage of the COVID-19 vaccination should be concentrated on targeted publicity and education for people who have not been vaccinated.