Pricing with risk sensitive competing container shipping lines: Will risk seeking do more good than harm?

Abstract Container-shipping-lines (CSLs) operate in a highly competitive market with high demand volatility. Unlike many other industries in which risk-averse attitude is dominating, it is well known that many CSLs exhibit risk-seeking behaviors. In this paper, by using the mean-risk formulation, we analytically study the effects of risk attitude and demand volatility on the service pricing game between two CSLs. We find that the equilibrium prices increase when CSLs can accept more risk, and being slightly risk-seeking can help maximize the expected profits of both CSLs. We discover the risk-attitude convergence effect, which theoretically reveals that the “optimal risk attitudes” for the CSLs move in the same direction. Therefore, our research suggests that both CSLs should hire slightly risk-seeking managers in a competitive shipping market. In addition, we explore the impacts brought by demand volatility and find that the equilibrium prices increase (decrease) in the demand volatility when CSLs are risk-seeking (risk-averse). We uncover that when an individual CSL's risk sensitivity level is small and its rival is risk-seeking, its own expected profit under the decentralized case could be larger than that in centralized case. Finally, for robustness checking of our research findings, we investigate the scenarios with multiplicative randomness of demand, asymmetric information on risk attitude and multiple (more than two) competing CSLs, and find that our main findings still hold. Counterintuitively, in the case with multiplicatively random demand, we analytically find that CSLs may not prefer a large market potential when they are risk-averse.

[1]  S. H. Goh,et al.  Operational shadow pricing in back haul container shipping , 2016 .

[2]  The utility analysis of risk attitudes in shipping , 1991 .

[3]  Erbao Cao,et al.  Pricing strategies of a dual-channel supply chain with risk aversion , 2016 .

[4]  Wuyi Yue,et al.  Risk analysis of a pay to delay capacity reservation contract , 2006, Optim. Methods Softw..

[5]  Chung-Yee Lee,et al.  Pricing and competition in a transportation market with empty equipment repositioning , 2009 .

[6]  Liming Liu,et al.  Pricing and Lead Time Decisions in Decentralized Supply Chains , 2007, Manag. Sci..

[7]  Richard Staelin,et al.  An Industry Equilibrium Analysis of Downstream Vertical Integration , 2008, Mark. Sci..

[8]  Baojun Jiang,et al.  Managerial Optimism in a Competitive Market , 2018, Production and Operations Management.

[9]  Tsan-Ming Choi,et al.  Optimal Advertising and Pricing Strategies for Luxury Fashion Brands With Social Influences , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[10]  Dong-Ping Song,et al.  Ocean container transport in global supply chains: Overview and research opportunities , 2017 .

[11]  Baozhuang Niu,et al.  Who canvasses for cargos? Incentive analysis and channel structure in a shipping supply chain , 2017 .

[12]  Yijia Wang,et al.  Quality Control Game Model in Logistics Service Supply Chain Based on Different Combinations of Risk Attitude , 2015 .

[13]  Qiang Meng,et al.  Itinerary provision and pricing in container liner shipping revenue management , 2015 .

[14]  Zixuan Peng,et al.  Stable vessel-cargo matching in dry bulk shipping market with price game mechanism , 2016 .

[16]  M. Ishii,et al.  Evaluation of risk attitude in the shipping freight market under uncertainty , 2018 .

[17]  T. C. Edwin Cheng,et al.  Quick Response in Supply Chains with Stochastically Risk Sensitive Retailers , 2018, Decis. Sci..

[18]  Risk preference in Scandinavian shipping , 1973 .

[19]  R. Asariotis,et al.  Review of Maritime Transport, 2014 , 2010 .

[20]  Houmin Yan,et al.  Channel coordination in supply chains with agents having mean-variance objectives , 2008 .

[21]  Chun-Hung Chiu,et al.  Store brand introduction in a two-echelon logistics system with a risk-averse retailer , 2016 .

[22]  Xiaopo Zhuo,et al.  Joint logistics and financial services by a 3PL firm: Effects of risk preference and demand volatility , 2019, Transportation Research Part E: Logistics and Transportation Review.

[23]  Tsan-Ming Choi,et al.  Optimal Advertising Budget Allocation in Luxury Fashion Markets with Social Influences: A Mean-Variance Analysis , 2018, Production and Operations Management.

[24]  Anming Zhang,et al.  Effects of Airport Concession Revenue Sharing on Airline Competition and Social Welfare , 2010 .

[25]  Jing-Xin Dong,et al.  Pricing and competition in a shipping market with waste shipments and empty container repositioning , 2016 .

[26]  Pre-announcements of price increase intentions in liner shipping spot markets , 2017 .

[27]  Anming Zhang,et al.  Determinants of Airport-Airline Vertical Arrangements: Analytical Results and Empirical Evidence , 2015 .

[28]  Tsan-Ming Choi,et al.  Supply chain risk analysis with mean-variance models: a technical review , 2016, Ann. Oper. Res..

[29]  Vipul Agrawal,et al.  Impact of Uncertainty and Risk Aversion on Price and Order Quantity in the Newsvendor Problem , 2000, Manuf. Serv. Oper. Manag..

[30]  Zuo-Jun Max Shen,et al.  Optimal pricing and scheduling control of product shipping , 2015 .

[31]  Charles S. Tapiero,et al.  Value at risk and inventory control , 2005, Eur. J. Oper. Res..

[32]  Qiang Meng,et al.  Game-theoretical models for competition analysis in a new emerging liner container shipping market , 2014 .

[33]  Hon-Shiang Lau The Newsboy Problem under Alternative Optimization Objectives , 1980 .

[34]  Qiang Meng,et al.  Liner container seasonal shipping revenue management , 2015 .

[35]  Elisa Luciano,et al.  VaR as a risk measure for multiperiod static inventory models , 2003 .

[36]  T. Choi,et al.  The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era , 2019, Transportation Research Part E: Logistics and Transportation Review.

[37]  Dong-Ping Song,et al.  Effects of risk-aversion on competing shipping lines’ pricing strategies with uncertain demands , 2017 .

[38]  Tsan-Ming Choi,et al.  Risk Analysis in Stochastic Supply Chains: A Mean-Risk Approach , 2012 .

[39]  Anming Zhang,et al.  REVENUE SHARING WITH MULTIPLE AIRLINES AND AIRPORTS , 2010 .

[40]  Sean X. Zhou,et al.  Exclusive Channels and Revenue Sharing in a Complementary Goods Market , 2011, Mark. Sci..

[41]  Pratik J. Parikh,et al.  Evaluating warehouse strategies for two-product class distribution planning , 2017 .

[42]  S. Thomas McCormick,et al.  Price Incentives and Coordination in a Two-Product Decentralized Supply Chain , 2014, Decis. Sci..

[43]  H. Leibenstein Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand , 1950 .