Information Disclosure Strategy in the Pre-made Dishes Supply Chain Considering Supplier Promotion Efforts

DOI

10.2991/978-94-6239-598-5_26How to use a DOI?

Keywords

pre-made dishes; information disclosure; supply chain management; competition; pricing

Abstract

Under the fast-paced lifestyle, pre-made dishes have emerged, creating a competitive dynamic with traditional fresh dishes. However, consumer acceptance of pre-made dishes varies significantly, which may lead retailers to conceal information about such dishes to maximize profits. This research explores how suppliers’ promotion of pre-made dishes influences retailers’ optimal disclosure strategies. We develop a composite food supply chain model in which a supplier simultaneously wholesales fresh ingredients and pre-made meal kits, while different retailers in the same market sell pre-made dishes and freshly cooked dishes, respectively. The conclusions indicate that supplier promotion can encourage retailers to disclose information about pre-made dishes. However, under certain conditions, such promotional efforts may reduce the supplier’s own profits. Our results suggest that promotional activities by pre-made dish suppliers positively influence information disclosure across the supply chain, thereby contributing to the establishment of a well-regulated pre-made dish market.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Honglu Tao
AU  - Hongjie Lan
PY  - 2026
DA  - 2026/02/26
TI  - Information Disclosure Strategy in the Pre-made Dishes Supply Chain Considering Supplier Promotion Efforts
BT  - Proceedings of the 2025 6th  International Conference on Big Data and Social Sciences (ICBDSS 2025)
PB  - Atlantis Press
SP  - 263
EP  - 272
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-598-5_26
DO  - 10.2991/978-94-6239-598-5_26
ID  - Tao2026
ER  -