Managing strategies of product quality and price based on trust under different power structures
RAIRO. Operations Research, Tome 55 (2021) no. 2, pp. 701-725

This paper investigates the quality and pricing decisions in a supply chain consists of one retailer and two manufacturers. The retailer updates the trust value to manufacturers based on the historical information of product quality to determine the actual order quantity. We propose four game models by considering two situations, i.e., manufacturer-dominant scenario and retailer-dominant scenario. Based on theoretical and numerical analysis, we obtain a series of valuable management insights. For example, when a manufacturer with unreliable product quality is the leader and competes with another reliable manufacturer, the retailer’s profit would eventually surpass that of two stronger manufacturers. When the retailer is the leader, the retailer’s profit is often greater when two manufacturers engage in the Stackelberg game rather than that in Bertrand game, and the manufacturer with unreliable product quality can make profit no less than that of another manufacturer with reliable quality.

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DOI : 10.1051/ro/2021032
Classification : 90B06
Keywords: Supply chain management, trust, dynamic update, game theory, simulation
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     title = {Managing strategies of product quality and price based on trust under different power structures},
     journal = {RAIRO. Operations Research},
     pages = {701--725},
     year = {2021},
     publisher = {EDP-Sciences},
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     language = {en},
     url = {https://www.numdam.org/articles/10.1051/ro/2021032/}
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Fu, Xiao; Liu, Shuchun; Shen, Wendi; Han, Guanghua. Managing strategies of product quality and price based on trust under different power structures. RAIRO. Operations Research, Tome 55 (2021) no. 2, pp. 701-725. doi: 10.1051/ro/2021032

[1] R. D. Banker, I. Khosla and K. K. Sinha, Quality and competition. Manage. Sci. 44 (1998) 1179–1192. | Zbl | DOI

[2] A. Banu and S. K. Mondal, Analyzing an inventory model with two-level trade credit period including the effect of customers’ credit on the demand function using q-fuzzy number. Oper. Res. 20 (2020) 1559–1587.

[3] G. G. Cai, Z. G. Zhang and M. Zhang, Game theoretical perspectives on dual-channel supply chain competition with price discounts and pricing schemes. Int. J. Prod. Econ. 117 (2009) 80–96. | DOI

[4] T. Chakraborty, S. S. Chauhan and M. Ouhimmou, Cost-sharing mechanism for product quality improvement in a supply chain under competition. Int. J. Prod. Econ. 208 (2019) 566–587. | DOI

[5] J. Chen, L. Liang, D. Q. Yao and S. Sun, Price and quality decisions in dual-channel supply chains. Eur. J. Oper. Res. 259 (2017) 935–948. | MR | DOI

[6] Z. Cheng, J. Xiao and K. Xie, Optimal product quality of supply chain based on information traceability in fashion and textiles industry: an adverse logistics perspective. Math. Prob. Eng. 2013 (2013) 87–118. | Zbl | DOI

[7] J. K. Dey, S. K. Mondal and M. Maiti, Two storage inventory problem with dynamic demand and interval valued lead-time over finite time horizon under inflation and time-value of money. Eur. J. Oper. Res. 185 (2008) 170–194. | MR | Zbl | DOI

[8] Digital Commerce, US ecommerce sales grow 14.9% in 2019 (2020). Available at https://www.digitalcommerce360.com/article/us-ecommerce-sales/.

[9] B. Dong, W. Tang and C. Zhou, Strategic sourcing under recall loss sharing and product quality investment. RAIRO:OR 54 (2020) 1133–1160. | MR | Numdam | DOI

[10] R. Dubey, A. Gunasekaran, S. J. Childe, T. Papadopoulos, C. Blome and Z. Luo, Antecedents of resilient supply chains: an empirical study. IEEE Trans. Eng. Manage. 66 (2019) 8–19. | DOI

[11] N. Ebrahim-Khanjari, W. Hopp and S. M. R. Iravani, Trust and information sharing in supply chains. Prod. Oper. Manage. 21 (2012) 444–464. | DOI

[12] S. A. Edalatpanah, On the preconditioned projective iterative methods for the linear complementarity problems. RAIRO:OR 54 (2020) 341–349. | MR | Zbl | Numdam | DOI

[13] X. Fu and G. H. Han, Trust-embedded information sharing among one agent and two retailers in an order recommendation system. Sustainability 9 (2017) 710. | DOI

[14] X. Fu, M. Dong, S. X. Liu and G. H. Han, Trust based decisions in supply chains with an agent. Decis. Support Syst. 82 (2015) 35–46. | DOI

[15] X. Fu, M. Dong and G. H. Han, Coordinating a trust-embedded two-tier supply chain by options with multiple transaction periods. Int. J. Prod. Res. 55 (2017) 2068–2082. | DOI

[16] G. Gao, B. N. Greenwood, R. Agarwal and J. S. Mccullough, Vocal minority and silent majority: how do online ratings reflect population perceptions of quality? MIS Quart. 39 (2015) 565–589. | DOI

[17] Q. Gen and S. Mallik, Inventory competition and allocation in a multi-channel distribution system. Eur. J. Oper. Res. 182 (2007) 704–729. | Zbl | DOI

[18] B. C. Giri, C. Mondal and T. Maiti, Optimal product quality and pricing strategy for a two-period closed-loop supply chain with retailer variable markup. RAIRO:OR 53 (2019) 609–626. | MR | DOI

[19] H. Gurnani, M. Erkoc and Y. Luo, Impact of product pricing and timing of investment decisions on supply chain coopetition. Eur. J. Oper. Res. 180 (2007) 228–248. | Zbl | DOI

[20] G. Han and M. Dong, Trust-embedded coordination in supply chain information sharing. Int. J. Prod. Res. 53 (2015) 5624–5639. | DOI

[21] G. Han and S. Yan, Does food safety risk perception affect the public’s trust in their government? An empirical study on a national survey in China. Int. J. Environ. Res. Pub. Health 16 (2019) 1874. | DOI

[22] H. Jafari, S. R. Hejazi and M. Rasti, Pricing decisions in dual-channel supply chain with one manufacturer and multiple retailers: a game-theoretic approach. RAIRO:OR 51 (2017) 1269–1287. | MR | Zbl | Numdam | DOI

[23] S. A. Johnson and M. B. Houston, Buyer–supplier contracts versus joint ventures: determinants and consequences of transaction structure. J. Mark. Res. 37 (2000) 1–15. | DOI

[24] B. Khara, J. K. Dey and S. K. Mondal, Effects of product reliability dependent demand in an EPQ model considering partially imperfect production. Int. J. Math. Oper. Res. 15 (2019) 242–264. | MR | DOI

[25] H. L. Lee, K. So and C. S. Tang, The value of information sharing in a two level supply chain. Manage. Sci. 46 (2000) 626–643. | Zbl | DOI

[26] J. Ma and Q. Li, The complex dynamics of Bertrand-Stackelberg pricing models in a risk-averse supply chain. Disc. Dyn. Nat. Soc. 4 (2014) 1–14. | MR

[27] A. K. Manna, J. K. Dey and S. K. Mondal, Imperfect production inventory model with production rate dependent defective rate and advertisement dependent demand. Comput. Ind. Eng. 104 (2017) 9–22. | DOI

[28] A. K. Manna, J. K. Dey and S. K. Mondal, Effect of inspection errors on imperfect production inventory model with warranty and price discount dependent demand rate. RAIRO:OR 54 (2019) 1189–1213. | MR | Numdam | DOI

[29] T. Maiti and B. C. Giri, A closed loop supply chain under retail price and product quality dependent demand. J. Manuf. Syst. 37 (2015) 624–637. | DOI

[30] Ö. Özer and Y. Zheng, Trust in forecast information sharing. Manage. Sci. 57 (2011) 1111–1137. | Zbl | DOI

[31] K. Özpolat and W. Jank, Getting the most out of third party trust seals: an empirical analysis. Decis. Support Syst. 73 (2015) 47–56. | DOI

[32] State Council of China, China’s retail sales up 8% in 2019 (2020). Available at http://english.www.gov.cn/archive/statistics/202001/17/content_WS5e211f9cc6d0891feec027bf.html.

[33] A. Taleizadeh, M. Moshtagh and I. Moon, Pricing, product quality, and collection optimization in a decentralized closed-loop supply chain with different channel structures: game theoretical approach. J. Clean. Prod. 189 (2018) 406–431. | DOI

[34] J. Y. Tsai, S. Egelman, L. Cranor and A. Acquisti, The effect of online privacy information on purchasing behavior: an experimental study. Inform. Syst. Res. 22 (2011) 254–268. | DOI

[35] A. A. Tsay and N. Agrawal, Channel dynamics under price and service competition. Manuf. Serv. Oper. Manage. 2 (2000) 372–391. | DOI

[36] J. M. Villas-Boas, Product line design for a distribution channel. Mark. Sci. 17 (1998) 156–169. | DOI

[37] G. Xie, W. Yue, S. Wang and K. L. Kin, Quality investment and price decision in a risk-averse supply chain. Eur. J. Oper. Res. 214 (2011) 403–410. | MR | Zbl | DOI

[38] K. Zhu, R. Q. Zhang and F. Tsung, Pushing quality improvement along supply chains. Manage. Sci. 53 (2007) 421–436. | Zbl | DOI

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