Consumers' intention to use crowdsourced logistics: a synthesis of health belief and technology acceptance model

• Main Author: Peh, Ying Sien
• Other Authors: Yuen Kum Fai
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Maritime studies
• Online Access: https://hdl.handle.net/10356/158904
• Institution: Nanyang Technological University

The onset of the COVID-19 pandemic has given rise to a new phenomenon in the consumption habits of consumers. This stems from increased health consciousness as a result of the COVID-19 pandemic. Existing research examining the impact of COVID-19 on consumers’ usage of crowdsourced logistics platforms lacked suitable health psychology theory. As such, this paper combines the health belief model with the technology acceptance model which would provide unique and comprehensive insights into how the health concern of consumers can influence consumers’ subjective perceptions and their decisions to use crowdsourced logistics. An online questionnaire was designed and conducted in Singapore with a total of 500 valid responses which were analysed through structural equation modelling. The results indicate that all the proposed constructs positively impact consumers’ intention to use crowdsourced logistics. The proposed model also exhibits a strong explanatory power with perceived usefulness being the biggest motivator, followed by perceived ease of use and self-efficacy. With these findings, this research builds upon current academic research on crowdsourced logistics and, provides insights for policymakers and crowdsourced logistic companies to encourage more consumers to use their platforms.