Factors Influencing Technology Acceptance of Drones for Last-Mile Food Deliveries: An Adaptation of the UTAUT2 Model

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY

Human Behavior and Emerging Technologies Pub Date : 2023-11-30 DOI:10.1155/2023/7399080

A. O. Mathew, Srijit Chowdhury, Sanjivani Devpura, Anasuya K. Lingappa

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引用次数: 0

Abstract

As the food delivery sector grows in importance, new delivery modes to address service issues, such as costs, swift delivery, and environmental concerns, are being researched. However, research on drone-based food delivery services is still lacking, especially in the Indian context, which the current study aims to address. The study furthered the UTAUT2 model with additional perceived risk and price sensitivity constructs. Quantitative, cross-sectional data was collected nationwide using convenience sampling through online survey questionnaires. The 323 responses were analyzed using the partial least square-structural equation modeling method. The results identified effort expectancy, social influence, and hedonic motivation as significant predictors of attitude and behavioral intention. In an emerging economy with a vast consumer base, this study may offer a preliminary standpoint for understanding the consumer perspective on drone food deliveries. The findings of this study might be necessary for businesses that deal with food delivery logistics as a point of view to formulate successful strategies.

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影响最后一英里食品配送无人机技术接受度的因素：UTAUT2模型的改编

随着食品配送行业的重要性与日俱增，人们正在研究新的配送模式，以解决成本、快速配送和环境问题等服务问题。然而，关于无人机送餐服务的研究仍然缺乏，尤其是在印度，而本研究正是要解决这一问题。本研究在UTAUT2模型的基础上，增加了感知风险和价格敏感性的概念。研究采用便利抽样法，通过在线调查问卷在全国范围内收集了定量横截面数据。采用偏最小二乘法-结构方程模型法对 323 份答卷进行了分析。结果发现，努力预期、社会影响和享乐动机是态度和行为意向的重要预测因素。在一个拥有庞大消费群体的新兴经济体中，本研究可为了解消费者对无人机送餐的看法提供一个初步的视角。对于从事食品配送物流的企业来说，本研究的发现可能是制定成功战略的必要视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)

CiteScore

17.20

自引率

8.70%

发文量

期刊介绍： Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.