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Abstract

With resource exhaustion and environmental problems becoming more and more serious, green supply chain management attracts the attention of enterprises and scholars. For a new type of environmental-friendly product in this supply chain, we have no enough historical data to refer the demand. Hence, uncertainty theory is introduced as a tool to characterize the uncertainty of demand. Then this paper investigates the pricing, green degree and sales effort decisions in a green supply chain with a manufacturer and a retailer, where the demand of the product is described by uncertain variable. Considering the different power structures of supply chain, we build three expected value models and obtain equilibrium solutions, respectively. Then we analyze the influences of uncertain parameters and different power structures on decisions and profits. The results show that the green degree coefficient and sales effort coefficient have positive influences on the pricing, green degree and sales effort. Moreover, the results also show that decision leaders do not necessarily make more profits, which is up to the weights of green degree and sales effort. In addition, numerical analyses are given to show the correctness of results.

Keywords

Green supply chain management pricing decision uncertain demand uncertainty theory

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References

Basiri

and Heydari

, A mathematical model for green supply chain coordination with sub-stitutable products, Journal of Cleaner Production 145 (2017), 232–249.

Cao

G.Z.

, Qin

and Cheng

J.M.

, Study on the evaluation system of the enterprise’s “green degree”, East China Economic Management 20(9) (2006), 18–20.

Chen

, Peng

, Liu

Z.B.

and Zhao

R.Q.

, Pricing and effort decisions for a supply chain with uncertain information, International Journal of Production Research 55(1) (2017), 1–21.

Cherian

and Jacob

, Green marketing: a study of consumers attitude towards environment friendly products, International Journal of Asian Social Science 8(12) (2012), 117–126.

Ertek

and Griffn

P.M.

, Supplier-and buyer-driven channels in a two-stage supply chain, IIE Transactions 34(8) (2002), 691–700.

Ghosh

and Shah

, Supply chain analysis under green sensitive consumer demand and cost sharing contract, International Journal of Production Economics 164 (2015), 319–329.

Giri

B.C.

, Bardhan

and Maiti

, Coordinating a three-layer supply chain with uncertain demand and random yield, International Journal of Production Research 54(8) (2016), 2499–2518.

Haytko

D.L.

and Matulich

, Green advertising and environmentally responsible consumer behaviors: Linkages examined, Journal of Management and Marketing Research 1 (2008), 2–11.

https://www.gfk.com/fileadmin/user_upload/downloads/Global_Studies/Global-GfK-survey_Environmental-values-ethical-shopping_2015.pdf

10.

https://www.unenvironment.org/news-and-stories/press-release/human-health-dire-straits-if-urgent-actions-are-not-made-protect

11.

Hua

Z.S.

and Li

S.J.

, Impacts of demand uncertainty on retailers dominance and manufacturer-retailer supply chain cooperation, Omega 36(5) (2008), 697–714.

12.

Huang

and Ke

, Pricing decision problem for substitutable products based on uncertainty theory, Journal of Intelligent Manufacturing 28(3) (2017), 503–514.

13.

Joshi

and Rahman

, Factors affecting green purchase behaviour and future research directions, International Strategic Management Review 128(3) (2015), 128–143.

14.

Kahneman

and Tversky

, Prospect theory: an analysis of decisions under risk, Econometrica 47(2) (1979), 263–291.

15.

, Huang

and Gao

X.Y.

, Pricing decision problem in dual-channel supply chain based on experts’ belief degrees, Soft Computing 22(17) (2018), 5683–5698.

16.

, Zhu

M.Y.

, Jiang

Y.S.

and Li

Z.H.

, Pricing policies of a competitive dual-channel green supply chain, Journal of Cleaner Production 112 (2016), 2029–2042.

17.

Liu

, Uncertainty Theory, 2nd ed., Springer-Verlag, Berlin, 2007.

18.

Liu

, Uncertainty theory: a branch of mathematics for modeling human uncertainty, Springer-Verlag, Berlin, 2010.

19.

Liu

, Why is there a need for uncertainty theory? Journal of Uncertain Systems 6(1) (2012), 3–10.

20.

Liu

Z.G.

, Anderson

T.D.

and Cruz

J.M.

, Consumer environmental awareness and competition in two-stage supply chains, European Journal of Operational Research 218(3) (2012), 602–613.

21.

, Wang

H.Y.

and Shang

, Supply chain channel strategies with quality and marketing effort-dependent demand, International Journal of Production Economics 144(2) (2013), 572–581.

22.

McGuire

T.W.

and Staelin

, An industry equilibrium analysis of downstream vertical integration, Marketing Science 2(2) (1983), 161–191.

23.

Mills

E.S.

, Uncertainty and price theory, Quarterly Journal of Economics 73(1) (1959), 116–139.

24.

Pan

, Lai

K.K.

, Leung

S.C.H.

and Xiao

, Revenue-sharing versus wholesale price mechanisms under different channel power structures, European Journal of Operational Research 203(2) (2010), 532–538.

25.

Sang

S.J.

, Pricing and level decisions with a risk averse retailer in an uncertain green supply chain, International of Applied Mathematics 48(3) (2018), 14–20.

26.

Shen

J.Y.

and Zhu

, Uncertain supply chain problem with price and effort, International Journal of Fuzzy Systems 20(4) (2018), 1145–1158.

27.

Shi

R.X.

, Zhang

and Ru

, Impacts of power structure on supply chains with uncertain demand, Production and Operations Management Society 22(5) (2013), 1–18.

28.

Syaekhoni

M.A.

, Alfian

and Kwon

Y.S.

, Customer purchasing behavior analysis as alternatives for supporting in-store green marketing decision-making, Sustainability 9(11) (2017), 1–22.

29.

Z.H.

and Pagell

, Balancing priorities: decision-making in sustainable supply chain management, Journal of Operations Management 29(6) (2011), 577–590.

30.

Z.W.

, Peng

Z.X.

, Yang

and Chen

X.D.

, An improved shapley value method for a green supply chain income distribution mechanism, International Journal of Environment Research and Public Health 15(9) (2018), 1976.

31.

Yang

D.Y.

and Xiao

T.J.

, Pricing and level decisions of a green supply chain with governmental interventions under fuzzy uncertainties, Journal of Cleaner Production 149 (2017), 1174–1187.

32.

Zhao

and Wei

, The coordinating contracts for a fuzzy supply chain with effort and price dependent demand, Applied Mathematical Modelling 38 (2014), 2476–2489.

33.

Zhao

, Xia

X.H.

and Yu

G.D.

, Buyback contract of reverse supply chains with different risk attitudes under fuzzy demands, Journal of Intelligent and Fuzzy Systems 34(1) (2018), 47–56.

Analysis of green supply chain considering green degree and sales effort with uncertain demand

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