Out of the way, human! : understanding post-adoption of last-mile delivery robots

Lim, Xin-Jean (avtor), Chang, Jennifer Yee-Shan (avtor), Cheah, Jun-Hwa (avtor), Lim, Weng Marc (avtor), Kraus, Sascha (avtor), Dabić, Marina (avtor)

The pace of technological development is exceeding expectations and transforming the landscape of last-mile delivery. This study investigates how users' post-adoption behavior in using delivery robots is formed. Based on the task-technology fit (TTF) model, we present a research model that includes both direct and indirect factors that have been previously overlooked in the literature. We collected data from 550 users of delivery robots. Our structural equation modelling results show that two hedonic- (i.e., gratification and anthropomorphism) and three utilitarian- (i.e., service quality experience, delivery task requirements, and user-facing technology performance) driven factors predict perceived TTF in using delivery robots. Value-in-use and trust have sequential mediating effects that connect perceived TTF and service reuse likelihood and word-of-mouth recommendation. Our findings suggest ways to improve last-mile delivery robot strategies and provide practical implications for the industry.

• Jezik: Angleški jezik
• Ključne besede: delivery robot, last-mile delivery, task-technology fit model
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: EF - Ekonomska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: 15 str.
• Številčenje: Vol. 201, article no. ǂ123242
• PID: 20.500.12556/RUL-168282
• UDK: 658.8
• ISSN pri članku: 0040-1625
• DOI: 10.1016/j.techfore.2024.123242
• COBISS.SI-ID: 184132355
• Datum objave v RUL: 07.04.2025

Gradivo je del revije

• Naslov: Technological forecasting and social change
• Skrajšan naslov: Technol. forecast. soc. change
• Založnik: American Elsevier
• ISSN: 0040-1625
• COBISS.SI-ID: 318745

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: organizacija, digitalizacija, družbeni mediji

Projekti

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: P5-0441-2023
• Naslov: Regeneracija ekonomije in posla