ABSTRACT
Purpose: The COVID-19 pandemic has resulted in a brand-new phenomenon in customer consumption patterns. This resulted from heightened health awareness brought on by the COVID-19 epidemic. There is a dearth of appropriate health psychology perspectives in the existing study examining the effect of COVID-19 on consumers' use of crowdsourced logistics (CL) platforms. In order to provide unique and thorough insights into how consumer health concerns can affect consumers' subjective views and their decisions to use CL, this study combines the health belief model and the technology acceptance model. Design/methodology/approach: Five hundred valid responses from an online survey that was created and administered in Singapore were analysed using structural equation modelling. Findings: The findings show that all of the suggested constructs have a favourable influence on consumers' intentions to use CL. The suggested model also demonstrates high explanatory power, with perceived usefulness serving as the primary driver, followed by perceived ease of use and self-efficacy. Originality/value: The study advances previous academic research on CL and offers guidance to CL companies and lawmakers for promoting sustainable and secured last-mile delivery. © 2023, Emerald Publishing Limited.
ABSTRACT
Crowdsourced delivery has various advantages over conventional delivery methods, including a decrease in emissions and road congestion. These benefits grow as consumer loyalty is established due to network externalities. This study seeks to identify the factors influencing customer loyalty to crowdsourced delivery through the unified theory of acceptance and use of technology, the health belief model, the perceived value theory, and the trust theory. First, a questionnaire was administered to 500 respondents in Singapore, and the data was analyzed using structural equation modeling. The findings show that technology and health belief constructs have direct impacts on the perceived value of crowdsourced delivery, while perceived value has direct and indirect effects on consumer loyalty through trust. Overall, this study contributes to the literature theoretically and practically by developing a paradigm for understanding the growth of customer loyalty to crowdsourced delivery from the perspectives of consumers and health beliefs. It also offers operators and policymakers concrete areas for improvement in resource allocation, security, and marketing to increase overall consumer loyalty to crowdsourced delivery. © 2023 The Authors
ABSTRACT
Initiatives for marine conservation are funded by revenue from marine sites. However, the emergence of COVID-19 has restricted travelling, thus leading to decreased revenue and weakening conservation efforts. Virtual reality technology to support marine conservation efforts is explored as it allows users to experience marine sites, without having to be there physically. This study examines factors influencing users' desire to adopt virtual reality technology in marine ecotourism. With the integration of Stimulus-Organism-Response framework and three behavioural theories (i.e. health belief model, attitude, and eTrust), a hypothetical model was constructed to investigate consumers' intention to adopt virtual reality technology in marine ecotourism amidst the pandemic. The data were analysed and interpreted using structural equation modelling after 451 survey responses were obtained via an online questionnaire. Outcome expectation, perceived susceptibility, perceived severity, self-efficacy, and cues to action exhibit significant positive effects on attitude towards virtual reality technology in marine ecotourism. Consequently, attitude has a direct and indirect influence on use intention via eTrust. Post hoc analysis revealed that self-efficacy has a direct impact on eTrust and use intention. Total effect analysis further concluded that attitude has the greatest influence on use intention of virtual reality technology in marine ecotourism. This research contributes to the existing literature by utilizing health belief factors to explain use intention of technology towards marine conservation efforts. Recommendations including policy formulation and marketing initiatives were generated for marine ecotourism operators and policymakers. © 2022 Elsevier Ltd
ABSTRACT
Five hundred survey responses on consumer acceptance of autonomous delivery robots (ADRs) were collected because the pandemic has increased the emphasis on contactless deliveries, spurring some interest in ADRs to perform last-mile deliveries in urban cities. To examine consumers' intention to adopt ADRs, a comprehensive theoretical model grounded on the Health Belief Model and Task-Technology Fit Model was presented and structural equation modeling was applied to examine the survey data. The analysis revealed that the constructs from both theories have significant effects on outcome expectations and task-technology fit. Additionally, outcome expectations and task-technology fit are strong predictors of consumers' intention, as indicated by their direct and indirect effects. Thus, this study enriches existing research by interpreting consumers' intention to adopt ADRs through health and technology perspectives. It also provides practical implications and policy recommendations for urban planning and design. © 2022 Elsevier Ltd
ABSTRACT
Cutting-edge technologies are changing the operations of urban last-mile delivery. In particular, innovative technologies, such as delivery drones, have shown promising results in commercial applications. When considered alongside the ongoing pandemic, contactless technologies have become even more important to the daily lives of consumers in highly urbanized areas. This study investigates underlying factors influencing consumers' acceptance of drone delivery in urban cities amidst the COVID-19 pandemic. To this end, a model was created by fusing the technology acceptance model, task–technology fit, and privacy calculus theory. Four hundred and fifty survey responses were analyzed using structural equation modeling. The findings suggested that perceived usefulness, attitude, and perceived privacy risks directly influence consumers' behavioral intentions. In addition, perceived ease of use, task characteristics, technology characteristics, task–technology fit, and privacy concerns indirectly impact consumers' behavioral intention. This study offers an insightful perspective on consumers' perception of urban last-mile delivery drones while providing insights into urban transport planning and regulation of drone delivery services. © 2023 Elsevier Ltd