Drone Food Delivery: A Solution to Crowding During the Global COVID-19 Pandemic

拥挤 无人机 大流行 结构方程建模 业务 脆弱性(计算) 2019年冠状病毒病(COVID-19) 感知 挤出效应 营销 食物运送 心理学 经济 计算机安全 医学 计算机科学 遗传学 疾病 病理 神经科学 机器学习 传染病(医学专业) 货币经济学 生物
作者
Gurmeet Singh,Shavneet Sharma,Anushree Tandon,Puneet Kaur
出处
期刊:IEEE Transactions on Engineering Management [Institute of Electrical and Electronics Engineers]
卷期号:71: 3993-4005 被引量:6
标识
DOI:10.1109/tem.2022.3181251
摘要

The COVID-19 pandemic has altered the retail landscape and introduced new risks for customers. Customers, in turn, are increasingly turning toward technology to reduce pandemic-associated risks. This study investigates the impact of crowding at food retail outlets on customers’ willingness to utilize drone food delivery. Data were collected using an online survey and analyzed using covariance-based structural equation modeling. The results confirm that crowding is positively associated with social withdrawal tendency and mortality threat. Perceived vulnerability and perceived severity act as moderators to strengthen the positive association of crowding with mortality threat and social withdrawal tendency. Social withdrawal tendency and mortality threat, in turn, are positively associated with customers' attitudes toward drone delivery. A positive attitude toward drone delivery positively impacts customer willingness to utilize drone delivery, while a negative attitude has a negative impact. This study provides novel insights into technology adoption driven by crowding as an environmental factor during a global pandemic. It also offers evidence that technology adoption is driven by threat perceptions. Our findings have important implications for retailers, who can consider drone food delivery as a possible solution to reduce customers' threat perception.
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