This study aims to investigate individual behavior towards adoption of telemedicine application based on wireless sensor network applications (WSN) during COVID-19 pandemic. Therefore, the research model extends the unified theory of acceptance and use of technology with the task technology fit model, awareness and self-efficacy to determine user intention to adopt wireless sensor network application for medical assistance. A research survey was conducted towards Saudi citizens in voluntary setting. In response, 348 valid responses were retrieved. Sample size was computed with prior-power analysis using G-power software. The research model is empirically tested with latest statistical approach namely structural equation modeling (SEM). Findings of the structural model indicate that wireless sensor network application was jointly predicted by performance expectancy, social influence, effort expectancy, facilitating condition, task technology fit, awareness and self-efficacy and explained substantial variance R2 79.5% in individual behavior to adopt wireless sensor network application. The effect size analysis (f2) revealed that task technology fit and facilitating condition were the most important factors to determine user intention to adopt wireless sensor network application. The current study contributes to theory by extending the unified theory of acceptance and use of technology with task technology fit model, self-efficacy and awareness and enrich information system literature in the context of user intention to adopt wireless sensor network application. Practically, this study suggest that health consultant should focus on technology fitness including wireless devices and the number of facilities to operate wireless sensor network which in turn boost user confidence towards adoption of wireless sensor network application for health consultation. This study develops a unique research model that inspects user behavior towards adoption of wireless sensor network technology for better health care system. The findings of this study answer how to monitor COVID-19 while using of wireless sensor network applications. Moreover, this study is useful for clinical management through virtual environment and guides health advisors, software developers and physicians to design user friendly telemedicine application by using wireless sensor network technology.

The number of industries using drones is increasing. Although early research was conducted on drones, the prior literature has not emphasized consumer adoption of drones for item delivery. Consequently, this study investigates whether customers are open to receiving packages from drones. This study also examines the elements that influence customers’ willingness to adopt drone package delivery. This study fills a gap in the logistics and service research by examining people’s concerns regarding using drones. The unified theory of acceptance and use of technology (UTAUT2) serves as the basis for the conceptual framework. A self-administered online survey is deployed. The results demonstrate that perceived privacy risks negatively influence performance and effort expectancy as well as facilitating conditions and social influence. This study further validates the UTAUT2 by confirming the influence of performance expectancy and facilitating conditions on attitudes toward adopting drones. Moreover, this study confirms the positive influence of attitude on behavior. This study has managerial implications, one of which is the suggestion that the deployment and use of drones should minimize interference with people’s privacy.