Table of Content

25 March 2020, Volume 29 Issue 3

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Theory Analysis and Methodology Study

Alliance Stability between Third-party E-commerce Platform and Cooperative Merchant Based on Evolutionary Games

LI Mei-ling, LIN Jian

2020, 29(3):  1-9.  DOI: 10.12005/orms.2020.0057

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In view of “jump-dealing” phenomenon in cooperative merchant, this paper establishes the game model between third-party e-commerce platform and cooperative merchant, and analyses the evolutionary process of supervision from third-party e-commerce platform and “Jump-dealing” of cooperative merchant based on evolutionary game theory. And the evolutionary stable strategies(ESS)for this model under different circumstances are given. The stability of alliance will be affected if their strategies do not conform to the evolutionary stable strategies(ESS). In addition, parameter settings and variable hypothesis are also made according to actual situations, and how the different parameters, for example, the amount of money merchant jumping and extra revenue gained by the platform by strengthening supervision, can influence the evolutionary stable equilibrium strategy is analyzed based on theoretical analysis and scenario simulation.

A Projection Method for Interval-valued Intuitionistic Fuzzy Multiple Attribute Decision Making

ZENG Shou-zhen, LUO Dan-dan

2020, 29(3):  10-15.  DOI: 10.12005/orms.2020.0058

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In this paper, we first develop a new projection of interval valued intuitionistic fuzzy(IVIF)sets, which is more accurate to measure the relative degree of vectors than the existing projection method. Then we apply this method to solve the IVIF multiple attribute decision making problem, in which the attribute weight information is incomplete. The projections of positive ideal solution(PIS)and negative ideal solution(NIS)are adopted to calculate the alternatives' weights. Thereby, the unknown weights of attributes are determined objectively.Subsequently, an improved overall relative closeness degree is constructed to rank the ordering of alternatives. Finally, a numerical example is provided to show the validity and applicability of the presented method.

A Two-sided Matching Decision Model Considering Perception Satisfaction of Postgraduates and Supervisors

LIU Ju, YANG Qin, ZHOU Yong-wu, CAO Ce-jun

2020, 29(3):  16-26.  DOI: 10.12005/orms.2020.0059

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In order to enhance the perception satisfaction of two-sided agents towards matching scheme, aiming to address a one-to-many two-sided matching problem between postgraduates and supervisors, prospect theory is introduced to address this issue by considering their psychological factors from the perspective of behavior science. Firstly, selection process between postgraduates and supervisors is defined asa one-to-many two-sided matching problem, and then is further transformed into a one-to-onematching problem. Next, prospect theory is used to characterize the psychological perception of agents under different preference ordinals, thus developing corresponding perception satisfaction function with stable matching condition. After that, a two-sided matching decision model to maximize overall perception satisfaction of postgraduates and supervisors is proposed. Finally, genetic algorithm is designed to solve the multi-objective model. Besides, a numerical example is also presented to illustrate proposed model and method. Computational results demonstrate their significant potential advantages in the matching problem between postgraduates and supervisors.

Inverse Problem of Conflict Analysis Based on Hypergame under Asymmetric Information

WU Zheng-gao, XU Hai-yan, DENG Xiao

2020, 29(3):  27-35.  DOI: 10.12005/orms.2020.0060

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In the conflict of two Decision Makers(DMs)and under asymmetric information, the DM(opponent)who is lack of enough information tends to get the misunderstood preference of the other DM who takes the advantage of information and knows opponent's preference correctly. Obtaining the misunderstood preference can assist the later DM to take the initiative in conflict and to build the induced mechanism in order to maximize its profit. This paper proposes a new way to acquire the misunderstood preference from inverse perspective of conflict resolutionbased on hypergame theory. Utilizing the opponent's equilibrium information presented in negotiation, this paper constructs a 0-1 nonlinear programming model to obtain the misunderstood preference. An equivalent linear programming model is deducted from the original model to facilitate the computation by linear transformation method. All the optimal solutions of the model can be obtained by using the theory of CB cuts and a designed algorithm to exclude vested optimal solution(s). A case about conflict in dual-channel supply chain between supplier and brick-and-mortar retailer is used to present how the model calculates the misunderstood preference.Finally,a summary of induced mechanism, based on the misunderstood preference, is suggested to get more profit for DM who holds more information.

A Game Study of International Transfer of Low-carbon Environmentally Friendly Technology under Asymmetrical Psychological Pressure

XIAO Han-jie, PENG Ding-hong, WANG Hua

2020, 29(3):  36-43.  DOI: 10.12005/orms.2020.0061

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Against the background of addressing the global climate change, we have made an investigation of the effecting mechanism of factors like psychological pressure and informational condition on the decision making of the transferring enterprise and the assigned enterprise with low-carbon environmentally friendly technology(LCEFT). By introducing the assumption of negotiation range, bargaining strategy and different psychological pressure, we build a bargaining game model of LCEFT under asymmetrical information to investigate the effects of discounting return, psychological pressure and negotiation range parameters on the strategies of making an offer, bargain and end price of both game parties. This study has shown that psychological pressure and informational condition have a direct influence on the decision making of offering, bargaining and final determination of end price. Under different informational conditions, the assigned enterprise adopts the bargaining strategies like “hit and run” and “cut the half price”. This paper has provided a reference for choosing a reasonable bargaining strategy under different psychological pressure and informational conditions for the assigned enterprises in coping with the global climate change.

A Study of Joint Promotions of Supply Chain Rebates under Loss-Averse Scenarios

GU Bo-jun, ZHANG Xiang, LONG Ying

2020, 29(3):  44-52.  DOI: 10.12005/orms.2020.0062

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Considering a dyadic supply chain consisting of one supplier and one loss-averse retailer, the retailer's joint rebate and ordering decisions and the supplier's scanback decision are examined based on Stackelberg game, so as to uncover the joint-promotion mechanism of rebates under decentralized setting. Our research first shows that the retailer rebate is increasing in loss aversion, the monotonicity of the pass-through rate in the degree of loss aversion depends on the proit margin, and the retailer rebate and the retailer's expected utility can be improved,given the supplier offering scanback trade promotions. Another important result is to illustrate that the supplier would like to offer scanbacks only when the wholesale price is larger than the threshold value, leading to joint promotions for the supplier and the retailer. Finally, the supply chain efficiency can be always improved by the supplier's scanback incentives.

Evolutionary Game of NIMBY Conflict Based on Emotional Catharsis Utility

YU Wu-yang

2020, 29(3):  53-62.  DOI: 10.12005/orms.2020.0063

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In recent years, increasing NIMBY conflicts troubled local government in social governance. NIMBY conflicts are not only caused by the uneven distribution of interests and risks, but also the dissatisfaction of the community residents in the decision-making and communication of local government. The degree of dissatisfaction of the community is changing with the government's behavior in the process of NIMBY. As the level of dissatisfaction rises, more intense protests can bring greater emotional catharsis utility to the public. Therefore, the emotional catharsis utility can provide an effective explanation for the spiral evolution of “Chinese-style” NIMBY conflicts. This paper proposes an evolutionary game model between local government and community people. The evolutionary equilibrium solution and related stability are numerically simulated and analyzed. A case study is carried out with the Hangzhou ZhongTai Waste Incineration Plant Project. It shows that the emotional catharsis utility can effectively explain the phenomenon of “Chinese-style” NIMBY spiral evolution from the viewpoint of game motive. Combined with the theoretical results of the game model, this paper analyzes the NIMBY conflict of Hangzhou ZhongTai waste incineration project. Finally, relevant suggestions for the planning and construction of NIMBY facilities are given.

Analysis of the Financing Strategy for Technical Innovation in a Capital-constrained Supply Chain

JIAN Ming, SUN Fan-song

2020, 29(3):  63-76.  DOI: 10.12005/orms.2020.0064

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When emerging technology enters the competitive market, supply chain members often have financial constraints. In order to obtain higher profit flow and occupy a market share as quickly as possible, upstream and downstream enterprises are willing to provide internal and external financing to the supply chain. This paper conducts a concrete analysis of the supply chain financing strategy when upstream enterprises have financial constraints and downstream enterprises are the core enterprises and hold abundant capital. The literature shows that the upstream and downstream financing strategy allows upstream enterprises to achieve Pareto improvement, and with the increase of upstream enterprises' own capital, the interest rate threshold of downstream enterprises will gradually decrease. There exists an optimal financing interest rate that makes the expected profits of the downstream enterprises reach their maximum. Assuming the financial opacity of upstream and downstream enterprises, the existence of downstream firms' financing interest rate interval motivates upstream enterprises to hide their real capital status in order to obtain financing at a lower interest rate. Based on an information screening model and game theory, this paper develops a corresponding incentive contract that modifies the expected profit of upstream enterprises and induces upstream enterprises to reveal their real capital status.

Study of the Price Risk Measurement of the Pledge Portfolio in Supply Chain Based on Copula

HU Hai-qing, CHEN Di, ZHANG Dan, ZHANG Lang

2020, 29(3):  77-90.  DOI: 10.12005/orms.2020.0065

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In this paper, we select silver, aluminum and copper three germplasm as the research objects. Based on the analysis of the statistical characteristics of the yield of pledge in supply chain finance, the Copula model is introduced to describe the typical characteristics of the “peak and heavy tail” of the yield of pledge and the nonlinear correlation structure between the yield of pledge in supply chain finance. And the Monte Carlo simulation method is used to measure the price risk value CVaR of the pledge portfolio under extreme conditions. At the same time we use the square root rule of time to measure the price risk of pledge portfolio under long term perspective. In order to select the best measure of long-term price risk model of supply chain financial pledge portfolio, we compare the results of CVaR and VaR, compare the short-term price risk and the long-term price risk, and also compare the price risk value measured by the Copula model and the traditional risk measurement method. The results show that: from the volatility of single commodity price, the yield of the three types of pledges has the characteristics of non normal distribution and “peak thick tail”, so it has the characteristics of the return distribution of general financial assets. From the validity of the model, first, CVaR can better and comprehensively measure the price risk of supply chain finance pledge portfolio than VaR. Second, the accuracy of risk measurement based on the Copula model results is better than traditional integrated risk measurement results. Third, the square Euclidean distance method shows that the t-Copula model is the best characterization of the dependent structure of the pledge portfolio in the five Copula models. From the long-term risk measure, with the increase of risk period, pledge portfolio price risk value increases, therefore, the short-term risk measurement in the past research will underestimate the price risk faced by commercial banks, which is not conducive to the optimal allocation of commercial banks' funds and credit. The conclusion provides quantitative support for commercial banks to carry out supply chain financial business to prevent price risk.

Two Suppliers' Competitions under Capacity Constraint

SHEN Yang, CHEN Ke-hong

2020, 29(3):  91-98.  DOI: 10.12005/orms.2020.0066

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In the buyer's market, the dominant retailers often introduce two or more suppliers that produce homogenous products to meet their own needs and obtain higher benefits through competition among suppliers. Price competition is an important means for suppliers to compete for market share. However, under the premise of sufficient production capacity, the result of competition will be that neither party will be profitable. From the perspective of production capacity, this paper uses the newsboy model to analyze the effect of competition on suppliers and retailers under different production capacity for two suppliers producing homogeneous products. By analyzing and comparing the two situations of symmetry and asymmetry capacity, we find that retailer can always benefit from competition, while for competing suppliers, productivity capacity should be restricted to a certain extent. Finally, we obtain some inspiration from management.

A Coordination Model for Supply Chain of Non-instantaneous Deteriorating Item Based on Quantity Discount Contract

ZHANG Yun-feng, GONG Ben-gang, GUI Yun-miao

2020, 29(3):  99-106.  DOI: 10.12005/orms.2020.0067

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In a two-echelon supply chain of non-instantaneous deteriorating item, which is composed of a single wholesaler and a single retailer, the unit time profit function of the supply chain system under decentralized decision-making and centralized decision-making is established respectively, and the conditions under which centralized decision-making is superior to decentralized decision-making are obtained by comparison. The quantity discount contract is introduced to coordinate the supply chain of non-instantaneous deteriorating item, which makes the whole supply chain realize the optimal state under centralized decision. A revenue-sharing contract is designed to reasonably distribute the coordinated profit increment. This will ensure that wholesaler and retailer make more profits than before coordination, and the system of supply chain achieve Pareto improvement. A numerical example is used to demonstrate the unit time profits of two decision-making modes. Finally, the influence of key parameters on the supply chain system and the unit time profit level of each member enterprise is analyzed.

Modeling and Solving for the Human Resource-constrained R&D Program Scheduling Problem

CHEN Jun-jie, TONG Shu-rong, WANG Yao, NIE Ya-fei, ZHANG Jing-wen

2020, 29(3):  107-116.  DOI: 10.12005/orms.2020.0068

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Based on the fact that personnel competence is the key factor affecting work performance, the renewable resources in resource constrained project scheduling problem are transformed into human resources including competence difference by a series of scientific and reasonable methods or means, and then a model of human resource constrained project scheduling problem with emphasis on competence difference is constructed. The most outstanding advantage of this model is that it can select the objective and reasonable evaluation index of personnel's competence to provide a rigorous and scientific relationship, which transforms the double objective minimization problem of complex multi project total duration and total cost into a single objective maximization problem of comprehensive index, establishes a mathematical optimization model, and uses genetic algorithm to solve it. Compared with the traditional multi-mode model, the model based on the difference of the competency level of personnel is obviously better, and its advantage is that the optimal time limit is shorter and the optimal cost is lower. The mathematical optimization model considering the difference of competence is more in line with the practice of R & D project group management. At the same time, genetic algorithm is not only efficient in solution, but also easier to get objective and accurate results.

Research into Consistency Index of Reciprocal Judgement Matrix

XU Ying-jun, YIN Shi-jiu, CHEN Mo, WU Lin-hai

2020, 29(3):  117-124.  DOI: 10.12005/orms.2020.0069

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This paper first proposes the distance definition between a reciprocal judgement matrix and the set of consistent reciprocal judgement matrices, based on which a new consistency index of reciprocal judgement matrix and the measure method of it are proposed, which is the similarity degree between the goal matrix and the consistent matrix constructed based on the goal matrix. For those judgement matrix that don't meet this consistency index, an iterative algorithm is introduced to enhance its consistent degree. One theorem gives the conclusion that the revised judgement matrix which is built after some times of iterations must meet the consistent degree required. In the group decision making section, a theorem gives the conclusion that if several individual judgement matrix all meet the consistent degree demand, then the consistency index of the group judgement matrix constructed based on the individual judgement matrix has a deterministic low limit. Another theorem also proves that if the similarity degree between each individual judgement matrix and the given judgement has one common low limit, then the similarity degree between the group judgement matrix which is constructed based on all the individual judgement matrix and the given judgement matrix has one deterministic low limit. All the conclusions are the basis for the application of the consistency index to group decision making problems. Finally, some examples are given to show the feasibility and efficiency of the algorithm and relevant conclusions in group decision making.

Research intoGroup Scheduling Problems with Deterioration and General Learning Effect

SUN Li, MA wei-min

2020, 29(3):  125-127.  DOI: 10.12005/orms.2020.0070

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In this paper, we considergroup scheduling problems with deterioration and general learning effects. In our model, the processing time of jobs has general learning effects. For the makespan minimization, we give a polynomial algorithmand prove that the total completion timeminimization is also polynomial solvable under an agreeable condition.

Generalized Fuzzy Time Series Model Based On Intuitionistic Fuzzy

WANG Peng, TIAN Zong-hao

2020, 29(3):  128-134.  DOI: 10.12005/orms.2020.0071

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This paper points out the deficiency of the traditional generalized fuzzy time series model in the sample data fuzzification, and introduces the theory of intuitionistic fuzzy sets to the traditional model. First of all, we increase a hesitant degree factor in the membership and the membership functions in order to make the sample data intuitionistic fuzzy, and it reflects the uncertainty of the actual data more exquisite. Then, we use score function to describe the membership in a simplified model. In the framework of traditional generalized model, it builds a generalized fuzzy time series model based on intuitionistic fuzzy. At last, the typical Alabama university enrollment is chosen as the forecasting targets, and the empirical results show that the proposed model greatly outperforms the conventional counterparts.

Railway Freight Demand Forecast Based on Uncertainty Theory

LIU Xiao-tong, REN Shuang

2020, 29(3):  135-141.  DOI: 10.12005/orms.2020.0072

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Reasonable prediction of railway freight demand is the decision-making basis for railway management departments to build and operate. Railway freight demand is uncertain. In order to cope with the complex changes of railway freight demand, the seven key factors of railway freight demand are selected based on the Pearson correlation analysis, and uncertain multivariate linear regression model is constructed by using the uncertainty theory. The corresponding railway freight value is changed from the traditional single value to the possible demand range, which is more in line with the actual demand of railway freight transportation under the uncertain environment. According to the relevant data of the National Bureau of Statistics from 2004 to 2016, the empirical study is carried out, and compared with the prediction results of regression model and BP model. The results show that the prediction results of uncertain multivariate linear regression can deal with the uncertainty well and the accuracy is higher.

Application Research

Capacity Control Method of Outpatient Appointments Based on Revenue Management Theory

LIANG Feng, WANG Yu-cong, YANG Li-meng, CHEN Wei-tao

2020, 29(3):  142-148.  DOI: 10.12005/orms.2020.0073

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This article first summarizes application of revenue management in airplane, hotel rental. Then the feasibility analysis of revenue management applying to healthcare industry is proposed. A two-class Littlewood capacity allocation models is introduced to help hospitals assign the adequate capacities in outpatient appointment scheduling problems. Considering the no-show phenomena, a revised model is presented to decide how to deal with the overbooking strategy. Finally the proposed control methods are proved to perform more efficiently at total revenue with illustrative examples.

Choice of Selling Modes of Competing Online Platforms in the Presence of Spillover Effects and Platform Services

WANG Gan-fu, AI Xing-zheng, ZHONG Li

2020, 29(3):  149-157.  DOI: 10.12005/orms.2020.0074

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The competition and development of online platform has become the key problem. So it is urgent to solve it. This paper studies the choice of sales modes of competing online platform owners when platform services are endogenous. The paper explores three different market structure in the presence of spillover effects of channels: namely RR (both choose reselling modes), PR (one chooses platform modes, another chooses reselling modes)and PP (both choose platform modes)and compares the performance of various market structure. The results show: as the positive spillover effects increase,so the platform owner's profit increase; both platform owners prefer the platform mode when services sensitivity coefficient is high and the degree of competition is strong; then the system achieves equilibrium; furthermore, the platform service and retail price are both the highest.

Study on Macroprudential Regulations for Banking System in China

GAO Qian-qian, FAN Hong

2020, 29(3):  158-168.  DOI: 10.12005/orms.2020.0075

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Macroprudential regulations for banking system has become the consensus of scholars at home and abroad as well as the relevant regulatory agencies since the global financial crisis. However, most of regulations for banking system are microprudential regulations, namely regulating individual bank, while the macroprudential regulations for the whole banking system is lacking. The whole banking system is a banking network system, consisting of banks connected by interbank market. Therefore, the macroprudential regulation supervises the banking network system. At present, the research of constructing a dynamic Chinese banking network system and quantitative macroprudential regulations for it has not been studied yet. The present paper constructs a dynamic Chinese banking network system by collecting the actual data of 16 listed banks from 2008 to 2015, and then uses four risk allocation methods(Component VaR, Incremental VaR, Shapley value EL, ΔCoVaR)to study the macroprudential regulations methods for the Chinese banking network system. The research results show that the macroprudential regulations under the four risk allocation mechanisms all effectively improve the stability of the Chinese banking network system, and ΔCoVaR mechanism is the most significant, while Incremental VaR is the worst. In addition, we find that there is a positive correlation between the macroprudential capital and each bank's total assets under the mechanism of Incremental VaR, Shapley value EL, and Component VaR, which indicates that the macroprudential capital can be set by each bank's total assets under these three mechanisms. However, it is not related under the ΔCoVaR mechanism, and then the macroprudential capital under this mechanism should be set according to each bank's contribution to systemic risk. The present paper enriches the study of macroprudential regulations for banking system in China.

Market Efficiency Analysis of Stock Index Futures Based on Stochastic Dominance

FU Zhi-neng, XU Wei-jun, ZHANG Wei-guo, LUO Yi-yang

2020, 29(3):  169-176.  DOI: 10.12005/orms.2020.0076

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After the introduction of strict regulatory measures by China's Financial Futures Exchanges(CFFE) in 2015, trading volume of stock index futures dropped sharply, and abnormal phenomena frequently occurred. In order to verify the impact of strict restrictions on the market efficiency of stock index futures, this paper builds ascending and descending dominance models for risk evasive and risk seeker respectively by DD test method of stochastic dominance. The traditional DD test method generates grids by equally spaced division, and the two decision thresholds of the hypothesis test are opposite, which does not conform to the distribution law of financial data. So this paper expounds the two shortcomings of the DD test method and proposes two improvements, generating the grid by “equal frequency division method” and generating the thresholds by “asymmetric quantile method”. Empirically, this paper analyzes the 15-minute price data of three stock index futures and their stocks. We find that since the stock market crash, the SSE 50 Index has dominated the SSE 50 stock index futures, forming an arbitrage opportunity. And the annual return, Sharpe ratio and Karma ratio of the arbitrage strategy are excellent. The empirical study further shows that the number of dominance in the strict restriction period reaches the highest peak, which means that the damage on the stock index futures function caused by the strict regulatory measures is more serious than the stock market crash. And this phenomenon is slightly relieved after CFFE's gradual relaxation of the regulatory measures but has not been fundamentally changed.

Study on the Industry Influence Effect of Nonferrous Metal Market Financialization from the Perspective of Time-varying

ZHOU Ying-zhe, HUANG Jian-bai, CHEN Jin-yu

2020, 29(3):  177-189.  DOI: 10.12005/orms.2020.0077

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This paper constructs a SVAR model of representative upstream, midstream and downstream industry in the nonferrous metal industry chain with the monthly data from August 2006 to December 2016, and decomposes the structural impact of nonferrous metal price fluctuations into supply shocks, economic aggregate demand shocks, financial speculation shocks and preventive demand shocks, which empirically examine the industry influence effect and relative importance of nonferrous metal market financialization. In addition, this paper further uses the TVP-SVAR-SV model to examine the impact of financialization on the output of different sectors in the nonferrous metal industry chain. The results show that: 1) With the deepening of the financialization in the nonferrous metals market, the price fluctuation of nonferrous metals will inhibit the output of the nonferrous metal industry chain, and there are varieties among the nonferrous metals due to the different degree of financialization; 2)The impact of nonferrous metal price fluctuations brought about by financialization on the output of nonferrous metal industry chain has obvious time-varying characteristics, and there are obvious differences in the degree of influence and duration of time at different time scales and different time points. 3)International finance crisis to a certain extent, has enhanced the suppression effect of nonferrous metal market financialization on the output of the nonferrous metals industry.

Study on the Contagion Mechanism of Associated Credit Risk with Hidden Period

XU Kai, ZHOU Zong-fang, QIAN Qian

2020, 29(3):  190-197.  DOI: 10.12005/orms.2020.0078

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The associated credit risk and relevant contagion is a hotspot and difficult point in present credit risk management field. Based on the average field theory of complex network, this paper applies the epidemic model to describe the infection mechanism of associated credit risk in associated entity network. The stable state of associated credit risk contagion in this network is analyzed with hidden entities and hidden period. Furthermore, within the BA scale free network environment of associated entities, the influence of associated credit risk characteristics on the stable state is discussed. The results show that the average hidden period of hidden entities, infectious rates, recovery rate and infectivity of infected entities, neonatal rate and mortality rate of credit entities can influence the associated credit risk contagion threshold and infected entities' density of stable state.

Growth Difference, Information Disclosure and Cost of Equity Capital

DU Jin-zhu, HU Wen-xiu, ZHANG Jian-feng

2020, 29(3):  198-208.  DOI: 10.12005/orms.2020.0079

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This paper examines whether and how growth difference moderates the relationship between information disclosure and cost of equity capital. The empirical result shows that growth difference can significantly moderate the relationship between information disclosure and cost of equity capital. Using grouping regression analysis, we find that the higher the information disclosure level with higher growth listed companies, the lower the cost of equity capital. Further research finds that in the high-growth subsample group, the information disclosure has a more significant impact on the cost of equity capital in non-state-owned listed companies. In the low-growth subsample group, information disclosure has a greater significantly influence on the cost of equity capital in state-owned listed companies. After adopting a series of robustness tests such as instrumental variables method and two-stage least-squares method(2SLS), the above conclusions are still valid. The conclusions of this paper provide some enlightenment for companies and regulatory agencies to improve information disclosure system.

Evolution Analysis of Supervision of Intellectual Property of E-commerce Platform Based on Cellular Automata

WANG Hong-li

2020, 29(3):  209-216.  DOI: 10.12005/orms.2020.0080

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In order to systematically explore the complex dynamic behavior of intellectual property supervision of E-commerce platform, the model of intellectual property supervision of e-commerce platform is built through cellular automata from the perspective of complex system in this paper. Firstly, the attribute and state of cellular are given. Then the model construction and simulation of intellectual property supervision of E-commerce platform based on the analysis of game payoff matrix is conducted. Finally, the enlightenment is given through the analysis of simulation results. The research of this paper has a good reference significance for the intellectual property supervision of E-commerce platform.

Management Science

Producers' Participation Willingness of Recovering Responsibility ——Analysis of Formation Mechanism and Driving Factor of the Mandatory and Voluntary

YANG Li, LI Bang-yi, XU Guang-shu

2020, 29(3):  229-235.  DOI: 10.12005/orms.2020.0082

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Green development requires producers to hold extended responsibility for recovering, recycling and reusing. The government restricts producers' behavior through compliance programs, and the level of regulation and profit-driven regulation of producers' willingness to participate in achieving recycling responsibility. This paper takes remanufacturing as the value recovery model of waste products, introduces the environmental cost of the loop link, and constructs a producer participation decision-making model based on the economic benefits and environmental benefits. The K-T condition of linear constrained quadratic programming is used. The method establishes the optimal decision in two scenarios. The results show the classification boundary of the mandatory and voluntary of producers. The classification boundary is driven by the combination of recovery value and government regulation level. The impact of environmental cost structure on mandatory/voluntary classification boundaries and benefits is evaluated.

Study of the High—speed Railway Passenger Satisfaction Based on Service Encounter Theory

WU Gang, NIND De-chun, CHEN Lan-fang, ZOU Hong-yao

2020, 29(3):  236-239.  DOI: 10.12005/orms.2020.0083

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As an important mode of travel for passengers, high-speed railways are facing both market competition and increasing passenger service quality requirements. Based on the service contact theory, a high-speed railway passenger service contact chain is established, theoretically, a high-speed railway passenger satisfaction model is constructed, and key contact points affecting passenger satisfaction are studied. The SEM is used to quantitatively analyze the path coefficients between latent variables, and the path hypothesis of the theoretical model is tested. The results show that the four-stage service contact directly affects passenger satisfaction and indirectly affects passenger loyalty; the impact of the four service contacts on passenger satisfaction is from high to low: train service contact, waiting service contact, outbound service contact, and inbound service contacts; the impact of each service contact stage on passenger loyalty is significantly different.