Paper Number
1713
Paper Type
Completed
Description
This paper provides the first empirical evidence of consumer responses to autonomous last-mile delivery using Alibaba's recent implementation in Chinese university campuses as a case study. The study leverages customer-level data from three universities over three years, employing a difference-in-differences (DID) approach combined with dynamic matching to estimate the impact of autonomous delivery adoption on order quantities. The results reveal a significant increase in the number of orders following autonomous delivery adoption with a 21% growth. The efficiency and flexibility of autonomous vehicles reduce consumers' travel costs, driving long-term usage and increased sales. However, the value of autonomous delivery diminishes when a fee is charged. The study contributes to our understanding of the value of autonomous last-mile delivery and its potential advantages over traditional courier delivery.
Recommended Citation
Wu, Lixia; Li, Peng; han, Brian Rongqing; Li, Meng; and Zhang, Yanan, "Value of Autonomous Last-mile Delivery: Evidence from Alibaba" (2023). ICIS 2023 Proceedings. 2.
https://aisel.aisnet.org/icis2023/hti/hti/2
Value of Autonomous Last-mile Delivery: Evidence from Alibaba
This paper provides the first empirical evidence of consumer responses to autonomous last-mile delivery using Alibaba's recent implementation in Chinese university campuses as a case study. The study leverages customer-level data from three universities over three years, employing a difference-in-differences (DID) approach combined with dynamic matching to estimate the impact of autonomous delivery adoption on order quantities. The results reveal a significant increase in the number of orders following autonomous delivery adoption with a 21% growth. The efficiency and flexibility of autonomous vehicles reduce consumers' travel costs, driving long-term usage and increased sales. However, the value of autonomous delivery diminishes when a fee is charged. The study contributes to our understanding of the value of autonomous last-mile delivery and its potential advantages over traditional courier delivery.
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