Delivering Innovations: Consumers’ Intention to Use Autonomous Outdoor Food Delivery Robot and Forward Company-Generated Social Media Content

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Authors: Joseph Kee-Ming Sia, Jie Min Ho, Alvin Han Ming Ling, Lim Jin Wong, Chih Siong Wong
Cited by: 3
References: 104

Abstract

The study examines the factors influencing consumers’ intentions to use autonomous outdoor food delivery robots (OFDR) and forward company generated social media content by integrating the Technology Acceptance Model (TAM) with innovativeness of motivated consumers. Based on 403 valid responses from Malaysia, all hypotheses were supported except those related to functional and hedonic innovativeness, which showed no moderating effects between perceived usefulness and attitude. Social innovativeness did not moderate the relationship between perceived ease of use and attitude. Theoretically, the study extends understanding of digital consumer behavior in the the service domain by introducing an integrated model that enhances TAM with dimensions of consumer innovativeness, namely functional, hedonic, cognitive, and social. Practically, it provides insights for policmakers and businesses in promoting OFDR adoption through strategies that foster positive attitude, perceived usefulness, and ease of use, reducing labor costs and carbon emissions, as well as facilitating last-mile delivery in a developing nation.

Fields of Study & Subjects

AI in Service Interactions Digital Marketing and Social Media Robotic Process Automation Applications

Publication details

Journal / source
Journal of Internet Commerce
Publisher
Informa UK Limited
Volume
25
Issue
2
Pages
263–300
Publication date
11 January 2026
Language
EN