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Arabian Journal for Science and Engineering
Published in: Arabian Journal for Science and Engineering 3/2020

28-11-2019 | Research Article - Systems Engineering

Supply Chain Coordination with Optimal Pricing and Logistics Service Decision in Online Retailing

Authors: Lingli Shu, Shaojian Qu, Zhong Wu

Published in: Arabian Journal for Science and Engineering | Issue 3/2020

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Abstract

Industry practice has shown that logistics service greatly affects the turnovers in online channel. High quality service will stimulate consumption. However, there are few studies investigating the decisions on pricing and logistics service quality simultaneously in the supply chain including one manufacturer and one online retailer. To address the gap, this paper studies the optimization of logistics service quality with pricing. To solve such decision-making challenges, firstly a basic model is applied to analyze how manufacturer decides the wholesale price. The retailing price and logistics service quality are also presented at cooperative and non-cooperative scenarios, respectively. Compared to the centralized policy, optimal price is higher in decentralized policy while the logistics service quality is lower. The expected profit of total chain decreases by 25%. Then, two contracts are proposed in a decentralized supply chain to coordinate the chain. Revenue sharing and cost sharing contract can realize the coordination, while sole cost sharing contract cannot. Finally, a numerical example is presented to verify the effectiveness of contract and the findings of models are illustrated.
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Literature
1.
Neslin, S.A.; Shankar, V.: Key issues in multichannel customer management: current knowledge and future directions. J. Interact. Mark. 23(1), 70–81 (2009)
2.
Hua, Z.S.; Hou, H.J.; Bian, Y.W.: Optimal shipping strategy and return service charge under no-reason return policy in online retailing. IEEE Trans. Syst. Man Cybern.-Syst. 47(12), 3189–3206 (2017)
3.
Neslin, A.; Neslin, S.A.; Heerde, H.J.V.: Promotion dynamics. Found. Trends Mark. 3(4), 177–268 (2008)
4.
Richards, T.J.: Dynamic model of fresh fruit promotion: a household production approach. Am. J. Agric. Econ. 81(1), 195–211 (1999)
5.
Monahan, J.P.: A quantity discount pricing model to increase vendor profits. Manag. Sci. 32(11), 1513–1517 (1986)
6.
Amblee, N.; Bui, T.: Harnessing the influence of social proof in online shopping: the effect of electronic word of mouth on sales of digital microproducts. Int. J. Electron. Commun. 16(2), 91–114 (2011)
7.
Ren, J.; Yeoh, W.; Ee, M.S.; Popovic, A.: Online consumer reviews and sales: examining the chicken-egg relationships. J. Assoc. Inf. Sci. Technol. 69(3), 449–460 (2018)
8.
Brekalo, L.; Albers, S.: Effective logistics alliance design and management. Int. J. Phys. Distrib. Log. 46(2), 212–240 (2016)
9.
Zhang, M.D.; Pratap, S.; Huang, G.Q.; Zhao, Z.H.: Optimal collaborative transportation service trading in B2B e-commerce logistics. Int. J. Prod. Res. 55(18), 5485–5501 (2017)
10.
Berger, J.; Sorensen, A.T.; Rasmussen, S.J.: Positive effects of negative publicity: when negative reviews increase sales. Mark. Sci. 29(5), 815–827 (2010)
11.
Voordijk, H.: Physical distribution costs in construction supply chains: a systems approach. Int. J. Logist. Syst. Manag. 7(4), 456–471 (2010)
12.
Marand, A.J.; Qu, T.; Li, H.Y.: Quandary of service logistics: fast or reliable? Eur. J. Oper. Res. 275(3), 983–996 (2019)MathSciNetMATH
13.
Tian, X.B.; Zhang, M.R.: Research on spatial correlations and influencing factors of logistics industry development quality. Sustain.-Basel. 11(5), 1–18 (2019)
14.
Du, N.; Han, Q.L.: Pricing and service quality guarantee decisions in logistics service supply chain with fairness concern. Asia Pac. J. Oper. Res. 35(5), 1850036 (2018)MathSciNetMATH
15.
Eghbali-Zarch, M.; Taleizadeh, A.A.; Tavakkoli-Moghaddam, R.: Pricing decisions in a multiechelon supply chain under a bundling strategy. Int. Trans. Oper. Res. 26(6), 2096–2128 (2019)MathSciNet
16.
Choi, T.M.; Ma, C.; Shen, B.; Sun, Q.: Optimal pricing in mass customization supply chains with risk-averse agents and retail competition. Omega-Int. J. Manag. Sci. 88, 150–161 (2019)
17.
Li, R.H.; Liu, Y.P.; Teng, J.T.; Tsao, Y.C.: Optimal pricing, lot-sizing and backordering decisions when a seller demands an advance-cash-credit payment scheme. Eur. J. Oper. Res. 278(1), 283–295 (2019)MathSciNetMATH
18.
Li, R.H.; Teng, J.T.; Zheng, Y.F.: Optimal credit term, order quantity and selling price for perishable products when demand depends on selling price, expiration date, and credit period. Ann. Oper. Res. 280(1–2), 377–405 (2019)MathSciNetMATH
19.
Javadi, T.; Alizadeh-basban, N.; Asian, S.; Hafezalkotob, A.: Pricing policies in a dual-channel supply chain considering flexible return and energy-saving regulations. Comput. Ind. Eng. 135, 655–674 (2019)
20.
Liu, W.H.; Xie, D.: Quality decision of the logistics service supply chain with service quality guarantee. Int. J. Prod. Res. 51(5), 1618–1634 (2013)MathSciNet
21.
Liu, W.; Shen, X.R.; Xie, D.: Decision method for the optimal number of logistics service providers with service quality guarantee and revenue fairness. Appl. Math. Model. 48, 53–69 (2017)MathSciNetMATH
22.
Chiu, C.H.; Choi, T.M.; Li, Y.; Xu, L.: Service competition and service war: a game-theoretic analysis. Serv. Sci. 6(1), 63–76 (2014)
23.
Rabinovich, E.; Rungtusanatham, M.; Laseter, T.M.: Physical distribution service performance and Internet retailer margins: the drop-shipping context. J. Oper. Manag. 26(6), 767–780 (2008)
24.
Rahman, S.: Quality management in logistics: an examination of industry practices. Supply Chain Manag. 11(3), 233–240 (2006)
25.
Hua, G.W.; Wang, S.Y.; Cheng, T.C.E.: Price and lead time decisions in dual-channel supply chains. Eur. J. Oper. Res. 205(1), 113–126 (2010)MathSciNetMATH
26.
Yang, J.C.; Yu, K.: The role of an integrated logistics and procurement service offered by a 3PL firm in supply chain. J. Manag. Anal. 6(1), 49–66 (2019)
27.
Xing, Y.; Grant, D.B.; McKinnon, A.C.; Fernie, J.: The interface between retailers and logistics service providers in the online market. Eur. J. Mark. 45(3), 334–357 (2011)
28.
Rabinovich, E.; Bailey, J.P.: Physical distribution service quality in Internet retailing: service pricing, transaction attributes, and firm attributes. J. Oper. Manag. 21(6), 651–672 (2004)
29.
Wang, X.B.; Liu, Z.B.; Chen, H.R.: A composite contract for coordinating a supply chain with sales effort-dependent fuzzy demand. Int. J. Mach. Learn. Cybern. 10(5), 949–965 (2019)
30.
Liu, W.H.; Liu, Y.; Zhu, D.L.; Wang, Y.J.; Liang, Z.C.: The influences of demand disruption on logistics service supply chain coordination: a comparison of three coordination modes. Int. J. Prod. Econ. 179, 59–76 (2016)
31.
Xiao, T.J.; Qi, X.T.; Yu, G.: Coordination of supply chain after demand disruptions when retailers compete. Int. J. Prod. Econ. 109(1–2), 162–179 (2007)
32.
Liu, Z.M.; Qu, S.J.; Goh, M.; Huang, R.P.; Wang, S.L.: Optimization of fuzzy demand distribution supply chain using modified sequence quadratic programming approach. J. Intell. Fuzzy Syst. 36(6), 6167–6180 (2019)
33.
Ghosh, D.; Shah, J.: Supply chain analysis under green sensitive consumer demand and cost sharing contract. Int. J. Prod. Econ. 164, 319–329 (2015)
34.
Chen, H.Y.; Chen, J.; Chen, Y.H.: A coordination mechanism for a supply chain with demand information updating. Int. J. Prod. Econ. 103(1), 347–361 (2006)
35.
Cachon, G.P.; Lariviere, M.A.: Supply chain coordination with revenue-sharing contracts: strengths and limitations. Manag. Sci. 51(1), 30–44 (2005)MATH
36.
Kong, G.; Rajagopalan, S.; Zhang, H.: Revenue sharing and information leakage in a supply chain. Manag. Sci. 59, 556–572 (2013)
37.
Zhou, Y.Y.; Qu, S.J.: Optimal strategy for a green supply chain considering shipping policy and default risk. Comput. Ind. Eng. 131, 172–186 (2019)
38.
Yao, Z.; Leung, S.C.H.; Lai, K.K.: Manufacturer’s revenue-sharing contract and retail competition. Eur. J. Oper. Res. 186(2), 637–651 (2008)MathSciNetMATH
39.
Zhao, D.Z.; Chen, M.Y.; Gong, Y.M.: Strategic information sharing under revenue-sharing contract: explicit vs. tacit collusion in retailers. Comput. Ind. Eng. 131, 99–114 (2019)
40.
Liu, W.H.; Xu, X.C.; Kouhpaenejad, A.: Deterministic approach to the fairest revenue-sharing coefficient in logistics service supply chain under the stochastic demand condition. Comput. Ind. Eng. 66, 41–52 (2013)
41.
42.
Arshinder, K.; Kanda, A.; Deshmukh, S.G.: Supply chain coordination: perspectives, empirical studies and research directions. Int. J. Prod. Econ. 115(2), 316–335 (2008)
Metadata
Title
Supply Chain Coordination with Optimal Pricing and Logistics Service Decision in Online Retailing
Authors
Lingli Shu
Shaojian Qu
Zhong Wu
Publication date
28-11-2019
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 3/2020
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-019-04265-z

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