ORIGINAL RESEARCH
Research on the Impact of Information Scenarios on Retailers’ Strategies for Purchasing Fresh Agricultural Products
,
 
,
 
 
 
 
More details
Hide details
1
School of Business, Ludong University, Yantai 264025, China
 
2
School of Public Administration, Shandong Technology and Business University, Yantai 264005, China
 
3
College of Business, Law and Social Sciences, University of Derby, Derby, UK
 
 
Submission date: 2023-12-02
 
 
Final revision date: 2024-03-05
 
 
Acceptance date: 2024-04-18
 
 
Online publication date: 2024-08-05
 
 
Publication date: 2025-01-09
 
 
Corresponding author
Shichun Du   

School of Public Administration, Shandong Technology and Business University, Yantai 264005, China
 
 
Pol. J. Environ. Stud. 2025;34(2):1243-1254
 
KEYWORDS
TOPICS
ABSTRACT
Controlling the social and environmental responsibility of extended supply chains has become one of the most challenging issues in modern management. This paper models retailers’ optimal sourcing strategies for fresh agricultural products (FAPs) in order to understand sourcing activities of retailers more systematically under two scenarios – the symmetric information scenario and the asymmetric information scenario. In this paper, we suppose that to maximize profit, retailers can choose from two types of suppliers – suppliers with freshness-keeping efforts are costly but adhere to strict social and environmental responsibility standards, while risky suppliers without freshness-keeping efforts are less expensive but may experience responsibility violations. Hence, different sourcing strategies of retailers are modeled and simulated by numerical image analysis. The results show that the retailers’ profit is concave because of the proportion of quality-sensitive consumers. Isolated consumer-oriented approaches may have a negative impact on the level of freshness in the supply chain. On the other hand, higher penalty levels and the exposure probability of food safety incidents will have a positive impact on the freshness level in the supply chain. However, simply relying on enhanced regulations will not be enough. Instead, a combined effort, enhancing regulations, monitoring the market, and raising consumer awareness will be needed to rationalize the market and to create a quality-sensitive market. Results offer regulators and various stakeholders new insights, helping them to understand how to encourage quality sourcing practices and maximize food quality and safety in the supply chain.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (21)
1.
SINGH R.R., DINESH K., KANIKA P. Sustainable production‑inventory system for perishables under dynamic fuel pricing and preservation technology investment. *Environmental Science and Pollution Research*, 30 (39), 2023. <https://doi.org/10.1007/s11356...> PMid:37458880.
 
2.
MOHAMMADI H., GHAZANFARI M., PISHVAEE M.S., TEIMOURY E. Fresh‑product supply chain coordination and waste reduction using a revenue‑and‑preservation‑technology‑investment‑sharing contract: A real‑life case study. *Journal of Cleaner Production*, 213, 262, 2019. <https://doi.org/10.1016/j.jcle...>.
 
3.
DYE C.Y. The effect of preservation technology investment on a non‑instantaneous deteriorating inventory model. *Omega*, 41 (5), 872, 2013. <https://doi.org/10.1016/j.omeg...>.
 
4.
ZHANG J., WEI Q., ZHANG Q., TANG W. Pricing, service and preservation technology investments policy for deteriorating items under common resource constraints. *Computers & Industrial Engineering*, 95, 1, 2016. <https://doi.org/10.1016/j.cie....>.
 
5.
LIU M., DAN B., ZHANG S.G., MA S.X. Information sharing in an E‑tailing supply chain for fresh produce with freshness‑keeping effort and value‑added service. *European Journal of Operational Research*, 290 (2), 572, 2021. <https://doi.org/10.1016/j.ejor...>.
 
6.
JANSSEN L., CLAUS T., SAUER J. Literature review of deteriorating inventory models by key topics from 2012 to 2015. *International Journal of Production Economics*, 182, 86, 2016. <https://doi.org/10.1016/j.ijpe...>.
 
7.
TAGHIKHAH F., VOINOVA B., SHUKLA N., FILATOVA T., ANUFRIEV C. Integrated modelling of extended agro‑food supply chains: a systems approach. *European Journal of Operational Research*, 288 (3), 852, 2021. <https://doi.org/10.1016/j.ejor...> PMid:32836714 PMCid:PMC7320874.
 
8.
BANU A., MONDAL S.K. Analyzing an inventory model with two‑level trade credit period including the effect of customers' credit on the demand function using q‑fuzzy number. *Operational Research*, 20, 1559, 2020. <https://doi.org/10.1007/s12351...>.
 
9.
ZHANG Q., CHEN J., LIN J. Market targeting with social influences and risk aversion in a co‑branding alliance. *European Journal of Operational Research*, 297 (1), 2022. <https://doi.org/10.1016/j.ejor...>.
 
10.
DAI B., NU Y., XIE X., LI J. Interactions of traceability and reliability optimization in a competitive supply chain with product recall. *European Journal of Operational Research*, 290 (1), 116, 2021. <https://doi.org/10.1016/j.ejor...>.
 
11.
BIAN J.S., LIAO Y., WANG Y.Y., TAO F. Analysis of firm CSR strategies. *European Journal of Operational Research*, 290 (3), 914, 2020. <https://doi.org/10.1016/j.ejor...>.
 
12.
KIRSCHSTEIN T., MEISEL F. A multi‑period multi‑commodity lot‑sizing problem with supplier selection, storage selection and discounts for the process industry. *European Journal of Operational Research*, 279 (2), 393, 2019. <https://doi.org/10.1016/j.ejor...>.
 
13.
QI L., SHI J., XU X. Supplier competition and its impact on firm's sourcing strategy. *Omega*, 55, 91, 2015. <https://doi.org/10.1016/j.omeg...>.
 
14.
SAHA S., SARMAH S.P., MODAK N.M. Single versus dual‑channel: A strategic analysis in perspective of retailer's profitability under three‑level dual‑channel supply chain. *Asia Pacific Management Review*, 23 (2), 148, 2018. <https://doi.org/10.1016/j.apmr...>.
 
15.
MEYERDING S.G.H., TRAJER N., LEHBERGER M. What is local food? The case of consumer preferences for local food labeling of tomatoes in Germany. *Journal of Cleaner Production*, 207, 30, 2019. <https://doi.org/10.1016/j.jcle...>.
 
16.
GUO R., LEE H.L., SWINNEY R. Responsible sourcing in supply chains. *Management Science*, 62 (9), 2722, 2015. <https://doi.org/10.1287/mnsc.2...>.
 
17.
KOUKI C., BABAI M.Z., MINNER S. On the benefit of dual‑sourcing in managing perishable inventory. *International Journal of Production Economics*, 204, 1, 2018. <https://doi.org/10.1016/j.ijpe...>.
 
18.
LIN F., JIA T., WU F., YANG Z. Impacts of two‑stage deterioration on an integrated inventory model under trade credit and variable capacity utilization. *European Journal of Operational Research*, 272 (1), 219, 2019. <https://doi.org/10.1016/j.ejor...>.
 
19.
GOVINDAN K., SOLEIMANI H. A review of reverse logistics and closed‑loop supply chains: A *Journal of Cleaner Production* focus. *Journal of Cleaner Production*, 142, 371, 2017. <https://doi.org/10.1016/j.jcle...>.
 
20.
KROMMYDA I.P., SKOURI K., LAGODIMOS A.G. A unified EOQ model with financial constraints and market tolerance. *Applied Mathematical Modelling*, 65, 895, 2019. <https://doi.org/10.1016/j.apm....>.
 
21.
MANDAL B.N., PHAUJDAR S. An inventory model for deteriorating items and stock‑dependent consumption rate. *Journal of the Operational Research Society*, 40 (5), 483, 1989. <https://doi.org/10.1057/jors.1...>.
 
eISSN:2083-5906
ISSN:1230-1485
Journals System - logo
Scroll to top