Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: Does delivery risk matter?

Uncrewed Aerial Vehicle (UAV), commonly known as a drone, has become popular in military and recreational circles. Although their usage in commerce is relatively low, a continuous rise in commercial use, especially for last-mile delivery, in the future is anticipated. Consequently, there is a necessity for a greater understanding of consumers' readiness to accept the latest technological application to increase knowledge, business, and managerial practice. Specifically, this study aims to investigate consumers’ intentions to deploy drones for last-mile delivery. The study applies the social cognitive theory and the model of goal-directed behaviour. It investigates the effect of outcome expectancy, lifestyle compatibility, perceived self-efficacy, consumer attitude, and the desire of usage for delivery drones among European millennial consumers. Additionally, it examines whether delivery risk moderates the influence of attitude and desire to use delivery drones. The authors discovered that the aforementioned are positively related to consumer attitude. Consumer attitude as such is positively associated with the desire and intention to use this method of delivery. Furthermore, the intention to use drone delivery is positively influenced by the desire for this delivery, outcome expectancy, and lifestyle compatibility. These findings indicate the importance of desire and lifestyle compatibility as predictors. At the theoretical level, the results support the perspective that social cognitive theory, together with the model of goal-directed behaviour, is an adequate framework to account for consumer intentions.     

我国电子商务和快递业协同度测度研究

电子商务迅速发展,已成为国家经济的重要组成部分,作为电子商务发展重要支撑的快递业也快速发展壮大。近年来快递业与电子商务合作不断深化,国家相关部门也出台相关政策促进两者的协同发展。基于协同学理论,构造我国电子商务与快递业协同度测算指标系统,并计算两者的协同度。结果表明,研究期间,电子商务子系统的有序度高于快递业,我国电子商务与快递业的协同度整体上呈现起伏式下降趋势,华南、华东等区域整体的协同度高于西北、华北等区域。     

Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach

Online food delivery (OFD) businesses flourished during COVID-19; however, OFD companies experienced different challenges and customers' expectations. This paper uses social media data to explore OFD companies' performance and customers' expectations during the COVID-19 pandemic. The most important topics in developed and developing countries are identified using machine learning. Results show that customers in India are more concerned about social responsibility, while financial aspects are more important in the US. Overall, customers in India are more satisfied with OFD companies during the COVID-19 pandemic than the US customers. We further find that factors such as OFD companies' brand, market size, country, and COVID-19 waves play a crucial role in moderating customer sentiment. The results of the study offer several managerial insights.     

Which food delivery platforms are winning the restaurant food delivery wars? Analysis from a consumer perspective

The emergence of the COVID-19 pandemic dramatically lowered the foodservice industry's income overnight. Conversely, the practical measure of remaining at home to deal with the pandemic's impact has boosted the online food delivery business. In this study, a consumer perspective was adopted and an adapted version of the extended unified theory of acceptance and use of technology (UTAUT2) was used alongside multi-attribute decision-making methods (DEMATEL, DANP and modified VIKOR) to construct a model for evaluating and selecting a food delivery platform (FDP). The results of the INRM (influential network relation map) revealed that the first dimension to be improved upon and adjusted should be security, followed by effort expectancy, performance expectancy, social influence, facilitating conditions, hedonic motivation and habit. The DANP influential weights suggested that habits were the most important dimension, followed by hedonic motivation, while performance expectancy was the least important. According to the results of the gap analysis, the first dimension that required improvement was performance expectancy, followed by effort expectancy, facilitating conditions, security, social influence, habits and hedonic motivation. It is expected that the findings of this study can serve as a reference for consumers selecting FDPs to better satisfy their dining needs. The novel model is discussed in terms of theoretical, practical and managerial implications.