Delivery riders' safety and delivery efficiency in on-demand food delivery industry: The moderating role of monitoring algorithms

Abstract

The purpose of this study is to investigate the on-demand food delivery (ODFD) riders' safety and delivery efficiency under the influence of individual well-being. Applying the conservation of resources (COR) theory, we develop our direct, mediation, and moderation hypotheses. Structural equation modeling with partial least square analysis is used to test the hypotheses. We find that stress mediates the relationship between well-being and risky driving behaviors as well as delivery efficiency. Regarding the monitoring algorithms, interactional monitoring is found to strengthen the effect of stress on risky driving behaviors and delivery efficiency. On the other hand, observational monitoring is found to reduce the effect of stress on risky driving behaviors. This study offers practical insights into ODFD companies that riders' well-being is influential on their risky driving behaviors and delivery efficiency. ODFD firms can manage observational monitoring to reduce risky driving behaviors but should be concerned about the role of interactional monitoring.

Department(s)

Marketing

Document Type

Article

DOI

10.1016/j.rtbm.2024.101143

Keywords

Conservation of resources (COR) theory, Food delivery efficiency, On-demand food delivery (ODFD), Risky driving behaviors, Well-being

Publication Date

8-1-2024

Journal Title

Research in Transportation Business and Management

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