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Abstract
Problem definition: We investigate how the characteristics of consumers and a service firm influence the firm’s optimal pricing and promised delivery-time decisions as well as the optimal investment in the quality of delivery reliability information available to consumers.
Methodology/results: We use utility, queuing, and choice modeling theories to model consumers’ behavior and to find solutions to the firm’s profit maximization problem.
Managerial implications: The optimal strategy is to disclose either error-free delivery reliability information or no information at all. We also delineate conditions for each of the two strategies to dominate.
Methodology/results: We use utility, queuing, and choice modeling theories to model consumers’ behavior and to find solutions to the firm’s profit maximization problem.
Managerial implications: The optimal strategy is to disclose either error-free delivery reliability information or no information at all. We also delineate conditions for each of the two strategies to dominate.
Original language | English |
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Pages (from-to) | 1918-1924 |
Number of pages | 7 |
Journal | Manufacturing and Service Operations Management |
Volume | 26 |
Issue number | 5 |
Early online date | 15 Jul 2024 |
DOIs | |
Publication status | Published - Sept 2024 |
Bibliographical note
The authors are grateful to the Department Editor (Professor Mahesh Na?garajan), the Associate Editor, and two anonymous reviewers for their insightful comments that helped improve this paper.Funding
This research was supported by the General Research Fund (GRF) of the Hong Kong Research Grants Council under Research Project No. LU13500822.
Keywords
- service operations
- delivery time
- pricing
- information disclosure
- online retailing
Fingerprint
Dive into the research topics of 'Disclosing Delivery Performance Information When Consumers Are Sensitive to Promised Delivery Time, Delivery Reliability, and Price'. Together they form a unique fingerprint.Projects
- 1 Active
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Should Delivery-Time Ratings be Disclosed in Online Markets? Optimal Pricing and Promised Delivery Time Decisions with Theoretical Models Supported by Empirical Data
LENG, M. (PI) & BECERRIL-ARREOLA, R. (CoI)
Research Grants Council (HKSAR)
1/01/23 → 31/12/24
Project: Grant Research