Optimal delivery time and subsidy for IT-enabled food delivery platforms considering negative externality and social welfare
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 14 February 2023
Issue publication date: 27 April 2023
Abstract
Purpose
Information technology-enabled gig platforms connect freelancers with consumers to provide short-term services or asset sharing. The growth of gig economy, however, has been accompanied by controversy, and, recently, food delivery platforms have been criticized for using data-driven techniques to set strict delivery time limits, resulting in negative externality. This study aims to provide managerial implications on the decisions of delivery time and subsidy for food delivery platforms.
Design/methodology/approach
The authors develop an analytical framework to investigate the optimal delivery time and subsidy provided to delivery drivers to maximize the gig platform's profit and compare the results with those of a socially optimal outcome.
Findings
The study reveals that it is optimal for the platform to shorten the delivery time and raise the subsidy when the food price becomes higher; nevertheless, the platform should shorten the delivery time and lower the subsidy in response to a higher delivery fee. Increases in the food price or delivery fee have non-monotonic effects on the number of fulfilled orders and the platform's profit. In addition, the authors solve the socially optimal outcome and find that a socially optimal delivery time is longer than the platform's preferred length when the delivery fee is high and the negative externality is strong.
Originality/value
The food delivery platform's optimal decision on delivery time is derived after taking negative externality into account, which is rarely considered in the prior literature but is a practically important problem.
Keywords
Acknowledgements
This work was supported by the Ministry of Education in China Project of Humanities and Social Sciences (No. 21YJA630120), Tianjin Philosophy and Social Science Planning Project (No. TJGL22-013) and National Natural Science Foundation of China (Nos. 72022012 and 71971153).
Citation
Zhao, B., Tan, H., Zhou, C. and Feng, H. (2023), "Optimal delivery time and subsidy for IT-enabled food delivery platforms considering negative externality and social welfare", Industrial Management & Data Systems, Vol. 123 No. 5, pp. 1336-1358. https://doi.org/10.1108/IMDS-09-2022-0554
Publisher
:Emerald Publishing Limited
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