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Table of Content

    25 September 2018, Volume 27 Issue 9
    Theory Analysis and Methodology Study
    Approach to Multi-attribute Decision Making Based onInteraction Index among Attributes
    ZHANG Yu-ning, HOU Fu-jun
    2018, 27(9):  1-7.  DOI: 10.12005/orms.2018.0199
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    There is a correlation between the attributes which cannot be ignored in multi-attribute decision making problems. This paper proposes a new series of weighted evaluation functions based on interaction index among attributes in multi-attribute decision making. Some properties of the proposed evaluation function are also discussed. First, we introduce several frequently-used concepts of interaction index in cooperative games. Then, we propose a series of interaction weighted evaluation(IWE)functions based on referred interaction index. Some properties of these IWE functions are given. Meanwhile, the relationship and difference between IWE functions and Choquet integral are discussed. Lastly, a numerical example is used to illustrate the feasibility and validity of the proposed method.
    Mechanism Research on Technology Innovation Mode Decision-makingin the Context of Low-carbon Economy:In the Perspective of Carbon Tax
    XU Ying-ying, QI Liang-qun, XU Xiao-wei
    2018, 27(9):  8-16.  DOI: 10.12005/orms.2018.0200
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    In order to study the mechanism of technology innovation mode decision-making in the context of low-carbon economy, we build game model of low-carbon technology innovation mode decision-making with evolutionary economy theory based on two kinds of low-carbon technology innovation modes which are open innovation and closed innovation. We analyze dynamic stability of strategy choosing and system evolution. We demonstrate the effects of different values of decision-making parameters and initial conditions on the decision-making and system evolution by numerical simulation. The results show that the company is more likely to choose open low-carbon technology innovation when competitive benefits of open low-carbon technology innovation strategy are more than the input costs and initial proportion of companies choosing open innovation reaches a certain level in the system. Technology absorption capacity, open low-carbon technology innovation costs and the intensity of carbon tax have important influence on technology innovation mode decision-making in the context of low-carbon economy. The government should keep intensity of carbon tax in a reasonable range, which will help companies choose open low-carbon technology innovation mode. In the same time, the government should attach importance to setting up information platform promoting knowledge exchange and sharing, which can create conditions for companies to implement the open low-carbon technology innovation.
    Reduction Backtracking Algorithm for Uncapacitated Facility Location Problem
    HE Yong-mei, NING Ai-bing, PENG Da-jiang, SHANG Chun-jian, ZHANG Hui-zhen
    2018, 27(9):  17-21.  DOI: 10.12005/orms.2018.0201
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    The uncapacitated facility location problem(UFLP)is a well-known NP-Hard problem in the area of combinatorial optimization, which has wide application value in various fields. The present paper firstly provides new observations of the UFLP model and gives the proof of the new observation. These mathematical properties not only can be used to decide whether some facilities should be open or closed, but also can be used to determine whether some of the connection edges are in service set. Therefore, the size of the original problem can be reduced, and the solution speed can be accelerated by utilizing the new observation in the paper. Given the fact, a new reduction backtracking algorithm based on upper and lower bounds is designed to solve the UFLP. In the end, an example is given to illustrate the principle of the algorithm, and the optimal solution of the example is obtained by utilizing the reduction backtracking algorithm in the paper .Therefore, the results show that the algorithm is feasible and effective.
    A Method for Storage Location Assignment considering COIand Demand Correlations
    LI Ming-kun, JIANG Xin-ying
    2018, 27(9):  22-32.  DOI: 10.12005/orms.2018.0202
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    Optimizing storage assignment is essential for speeding-up order picking in warehouses, but the order picking activities concern factors such as demand correlations. For instance, screws and caps should be stacked close to each other in order to improve the picking productivity. We consider COI-based storage policy as well as the demand correlations, and therefore products in small batches but with frequent orders would be stored close to the exit of the warehouse. In addition, products with close relations would be stored in adjacent locations. The storage location assignment problem is formulated as a mixed integer linear programming model, but experimental results indicate that the problem is extremely computationally difficult. Therefore, we advocate a clustering method and develop a heuristic to give good solutions to this problem. Further experiments and case study reveal that our heuristic outperforms existing off-the-shelf commercial software in terms of both efficiency and effectiveness.
    Study on the Electric Vehicle Routing Problem and Pattery SwappingStrategy in the Presence of Cargo Category
    GUO Fang, YANG Jun, YANG Chao
    2018, 27(9):  33-44.  DOI: 10.12005/orms.2018.0203
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    Currently, the national government is vigorously supporting the construction of modern logistics service system, especially for the agricultural and commercial products such as tea, fruit and seafood. Importance has been gradually attached to satisfying the differentiated requirements of different goods and lowering the loss during transportation. In this paper, the different needs of goods distribution conditions are considered. Some types of goods should avoid being transported with specific goods while they can be transported with most of other non-specified goods. Therefore, high-quality logistics services need the cooperation of route strategy, service strategy and vehicle charging strategy. The problem is formulated as an integer programming model. A two-phase Tabu Search-modified Clarke and Wright Savings heuristic(MCWTS)and a four-phase heuristic called IGALNS are proposed to solve the problem. Compared with the MIP solver of CPLEX on small-size instances, these heuristics can solve the problem within a shorter computing time and get reasonable solutions. Then, we systematically make a parameter analysis of this problem. The distribution distance of the classified transportation surpasses the reference model which does not take classified distribution into account. However, this model can avoid improper mixed transportation in a vehicle on condition that the transportation distance is slightly increased. If the potential cost caused by goods damage is calculated into the total cost, the cost of the unclassified transportation will be higher than the classified transportation. Thus, using classified goods distribution service strategy on the basis of the attributes of goods is not only beneficial to reducing the potential operating costs of enterprises, but also can help improve service quality and enhance the market competitiveness of enterprises. Furthermore, we conduct a series of experiments with a set of existing vehicle routing problem instances to evaluate and demonstrate the effectiveness of the two proposed algorithms
    Research on the Cooperative Scheduling Method for Oil Boomin Overwater Major Oil Spill Accident
    WANG Jun, DU Jian, WANG Mei-rong
    2018, 27(9):  45-50.  DOI: 10.12005/orms.2018.0204
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    In overwater major oil spill accident, rescue area strictly requests the quantity and time limit of dispatching booms. In order to improve the emergency rescue effect, we have to cooperatively schedule all emergency bases to dispatch booms. This paper divides the pollution area into limited number of rescue areas, and calculate the importance weight、quantity demand and time limit of every rescue area separately. Under the restriction of usable quantity and transportation capability of every emergency base, based on the quantity demand and time limit for dispatching booms of different weighted rescue area, the multi-emergency bases and multi-rescue areas cooperative scheduling model is established, which can decide how to schedule every emergency base. Finally, contrast tests are designed to demonstrate the effectiveness of our model, which show that cooperative scheduling for all emergency bases and differential treatment for the dispatching requirements of different environmental sensitive resources can obviously improve the entire emergency rescue effect.
    Study on the Performance of Supply Chain Coordination Based on Relational Network DEA Model
    YANG De-quan, DU Bing-zhu
    2018, 27(9):  51-66.  DOI: 10.12005/orms.2018.0205
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    This paper puts forward a method to evaluate the supply chain coordination. The research ideas are as follows: firstly relational network DEA can evaluate the efficiency of each decision making unit in the supply chain network ; secondly assuming that the supply chain network achieves coordination, and then all the enterprises of the supply chain network should be 1. Therefore we can evaluate the coordination performance with the gap of the actual DEA efficiency and the coordination state(the DEA efficiency of all the decision making units is 1). Based on this idea, this paper studies the coordination measurement of a supply chain network with three suppliers, two manufacturers and three retailers, building a method for measuring the supply chain network coordination based on the relational network DEA, which can measure the efficiency and coordination simultaneously. An example shows the practicality and validity of the method.
    Research on Coordination Decision-Making Model of Supply ChainInfluenced by Price and Service Double Factors
    ZHANG Xue-long, WANG Jun-jin, LIU Jia-guo
    2018, 27(9):  57-65.  DOI: 10.12005/orms.2018.0206
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    Taking the supply chain structure model, which is composed of two manufacturers and two retailers with competition as the research object, we establish the market demand function influenced by two important factors: price and service, and study the decision models of supply chain coordination. Taking the sales price, service quality and wholesale price of manufacturers as three decision variables, this paper analyses the optimal strategy of centralized decision-making and decentralized decision making, and studies the supply chain coordination problems of three different contracts: revenue sharing, service cost sharing, revenue sharing and cost sharing, and uses numerical simulation method to analyze the influence of the change of correlation parameters on system coordination. The simulation results show that revenue sharing contract and cost sharing contract need to meet certain conditions to achieve supply chain coordination, but its effect does not necessarily achieve optimal Pareto. Revenue sharing and cost sharing contracts can achieve supply chain coordination, but income sharing coefficient needs to be measured at a reasonable range. The improved revenue sharing and cost sharing contracts can avoid the blind spot of sharing coefficient, and achieve supply chain coordinate more effectively, which can keep the supply chain running well.
    Effect of Altruism on Members’ Strategies in Dual-Channel Supply Chain
    SHI Kui-ran, JIANG Feng, SUN Yu-ling
    2018, 27(9):  66-72.  DOI: 10.12005/orms.2018.0207
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    Innovation investment is crucial to improving competitive edge for firms in e-commerce era. Meanwhile, the firms’ preferences have an effect on their innovation investment decisions. This study investigates supply chain management based on altruism and presents the equilibrium strategies of the supplier and the retailer by introducing their altruistic preferences in two types of dual-channel supply chain. Also, the effect of altruism on equilibrium strategies of the players is analyzed. It is shown that when the variable cost of product is lower, the supplier’s altruism and the retailer’s altruism are beneficial to the other member but not to themselves in supply chain. In addition, when the variable cost of product is higher, the supplier’s altruism and the retailer’s altruism are beneficial to themselves but not to the other member. To some extent, this study reveals the necessity and moderation of altruism in supply chain management and helps to promote cooperation among members in supply chain.
    Supplier Selection Decision Making Method with Hybrid AssessmentInformation Based on Distance Measure and Support Degree
    HAN Er-dong, GUO Peng, ZHAO Jing
    2018, 27(9):  73-78.  DOI: 10.12005/orms.2018.0208
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    With the promotion of new retail, a supplier selection group decision making problem with the?supply chain has been enhanced, so firms should pay attention to this new problem in the new era. A group decision making method based on distance measure and support degree is proposed. For the supplier selection optimization problem, a group decision making method based on distance and support degree is obtained, according to the definition of distance measure of different types of attribute evaluation information. Single attribute index’s mutual support is gained between different decision makers, so we can get group comprehensive evaluation value of every attribute. Then, the alternative suppliers are ranked by gray correlation method.
    Analysis of Evolution Path of Cooperation Game ModelBased on SDN Enterprises
    HE Jian-jia, JIANG Xue-lin, XU Fu-yuan
    2018, 27(9):  79-86.  DOI: 10.12005/orms.2018.0209
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    The paper is to analyze the problem of the evolution path of cooperation game model under SDN enterprises. And the traditional research into the cooperation game of the enterprises mostly is concentrated on two strategies between cooperative strategy and non-cooperative strategy. Different from the traditional research, the paper subdivides the non-cooperative strategy into competitive strategy and neutral strategy on the basis of the traditional research. And the supply and demand network of enterprise with multi-functional and opening characteristics is introduced into the analysis of this study. The paper also establishes a cooperation evolutionary game model of the SDN enterprises based on the theory of evolutionary game, discussing the important problem of choice of strategy of the SDN enterprises cooperation and the problem of evolution path. The results show that the choice of enterprises strategy presents unstable phenomena for a long term, such as cooperative strategy, non-cooperative strategy or both, and the direction of evolution path is closely related to the player’s payoff and influenced by model’s initial status.
    Cooperation Mechanism of E-waste Recycling in “Internet +Recycling”Environment Based on Evolutionary Game
    XU Min-li, Li Sheng-lan, ZHENG Jie
    2018, 27(9):  87-98.  DOI: 10.12005/orms.2018.0210
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    Based on the relationship of competition and cooperation between online recyclers and traditional recyclers under the “Internet +Recycling”, the evolutionary game model is constructed, and the evolutionary game process is described. The influence of relevant factors on the evolution and stability of the strategy is analyzed. The results show that the probability of choosing the cooperation strategy between the online recyclers and traditional recyclers in the “Internet +Recycling” environment is positively related to the penalties for breach of contract, the excess returns of cooperation, and negatively related to the common costs, the cost of choosing the cooperation strategy separately and the increased revenue of free-riding behavior. Respectively, the existence of the optimal excess income distribution rate and the common rate of sharing make the traditional recyclers and online recyclers most likely choose the cooperation strategy.
    Application Research
    Effects of Industrial Modularization on Discontinuous Innovation:an Empirical Analysis in Automobile Industry
    WANG Hai-long, HUANG Ming, LIN De-ming
    2018, 27(9):  99-104.  DOI: 10.12005/orms.2018.0211
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    This paper aims to examine the interaction between industrial modularity and discontinuous innovation in automobile industry. Two indicators for measuring discontinuous innovation and industrial modularity are designed respectively. Then the patent data in global automobile industry from 1972 to 2011 are collected to explore the causal relations empirically between them through the Granger causality tests. It is found that there exists a long-term dynamic equilibrium between discontinuous innovation and industrial modularity. The results of Granger causality show that the causal relationship between discontinuous innovation and industrial modularization is significant, and industrial modularization has positive effects on discontinuous innovation and its long-term effects are more significant than short-term effects.
    Research on Identification Influence Factors of Waterway Traffic AccidentSeverity Based on Genetic Algorithm-Extreme Learning Machine
    ZHANG Li-li, LU Jing, AI Yun-fei
    2018, 27(9):  105-111.  DOI: 10.12005/orms.2018.0212
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    Identifying influence factors of waterway traffic accident severity is of great significance in reducing number of serious accidents and reducing the hazards and loss fundamentally. In order to identify the influence factors, it first constructs and quantifies the accidents influence factors system on the basis of historical waterway traffic accidents reports. Then it presents a GA-ELM model using extreme learning machine as classifier of generous accidents and serious accidents, and using genetic algorithm as search tool. Finally, it carries out an empirical study using 737 waterway traffic accidents dates happened in Chinese waters with both GA-ELM and GA-SVM. The results show that GA-ELM identifies 9 influence factors of waterway traffic accidents severity which are leaner than the results of GA-SVM. In the meantime, GA-ELM and GA-SVM respectively improves the classification accuracy by 8.2%、7.1% compared with the results using all influence factors. Besides, the former operation time is much shorter. Thus it can be seen, GA-ELM model can be well used in identifying influence factors of waterway traffic accident severity.
    Evaluation of P2P Lending Borrower’s Credit on BP Artificial Neural Network
    XIAO Hui-min, HOU Yu, CUI Chun-sheng
    2018, 27(9):  112-118.  DOI: 10.12005/orms.2018.0213
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    Evaluation of borrower’s credit is an important step for the P2P lending company to control the risk, and it is of significance to company operation.This article analyzes the credit risk from the view of borrower. On the basis of reading a large number of P2P lending borrowers credit risk literature at home and abroad, we set up typical P2P lending platforms in the investigation, study and select the influence factors of P2P lending borrowers credit to establish the P2P lending borrower's credit evaluation system. After introducing the trainoss to optimize the BP neural network, we establish the BP neural network model according to the credit evaluation system. Then the model is trained and simulated by using the relevant data of the 104 borrowers in four representative P2P lending platforms. The training and simulation results show that the optimized model has better convergence and higher accuracy than the standard BP neural network model, and it can evaluate the borrower's credit more accurately. P2P lending platforms can use the model to filter the high quality of the borrower and control the borrower’s default risk, reducing the platform’s bad debt rate, so that the platform can make a stable operation. Therefore, the model plays a certain role in the risk control of P2P lending, so as it can promote the healthy development of P2P Lending industry.
    Identification and Evaluation Method ofIndividual Advantage Characteristics for Hybrid Information
    LIU Sen, ZHAO Xi-nan
    2018, 27(9):  119-131.  DOI: 10.12005/orms.2018.0214
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    According to the problem of existing individual advantage recognition and analysis methods, an identification and evaluation method of individual advantage characteristics for hybrid information is proposed, which is according to the Jingyou thinking and ideal point utility model, based on the operation rules of intuitionistic fuzzy numbers and conversion methods with other types of information, designs both for single layer and hierarchical structure index systems, and includes the functions of individual advantage identification, individual agent evaluation and democratic agent evaluation. In addition, an example is given to illustrate the validity and operability of the method. The research can provide new method and technical support for individual advantage characteristics identification, assessment and decision making.
    Enterprise Dynamic Credit Revaluation Method Based onTOPSIS-GRA and Its Application
    ZHANG Fa-ming, WANG Wei-ming, LI Xiao-shuang
    2018, 27(9):  132-138.  DOI: 10.12005/orms.2018.0215
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    As in the traditional credit evaluation methods, the continuity of time is often less considered and basic credit value is emphasized while credit development tendency is ignored. This paper proposes a dynamic credit evaluation method which fuses the results of both TOPSIS having risk resistance rewards or punishments feature and Grey Relation Analysis. Firstly, using index information content induced density weighted algorithm (IDWAg) we aggregate the information and then gain static comprehensive credit value, building dynamic credit evaluation weighted decision-making matrix. Secondly, during the process of using TOPSIS, the enterprise risk resistance rewards or punishments are embedded, reaching the relative closeness degree fusing rewards and punishments feature. Then GRA method is applied to obtain the relevancy of enterprise credit tendency evaluated with ideal credit development tendency. Considering the results of both TOPSIS and GRA methods, the stable and scientific credit result will be got, which blends the features of risk resistance rewards or punishments, basic credit value and credit development tendency. Finally, a demonstration analysis is provided, verifying the validity and the rationality of this method.
    Analysis of Cluster Enterprise Knowledge Sharing Behavior underthe Multiple Networks Embedded
    HAN Ying, CHEN Guo-hong
    2018, 27(9):  139-147.  DOI: 10.12005/orms.2018.0216
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    For the past years, there have been a lot of new characteristics and situations in the global economy development, deeply influencing the development of industrial cluster. Internationalization has become one of the main development directions of industry cluster. This paper considers the cluster network and super cluster network embedded in different conditions. We use the Hotelling game and evolutionary game method, to establish the decision-making and the dynamic evolution model of different cluster enterprises sharing knowledge with the enterprises outside the cluster, and to explore the evolutionary mechanism of high-technology enterprises and low-technology enterprises with and without government subsidies. The result shows that the knowledge sharing behavior of high-technology enterprises in the cluster has an occupation effect on the low-technology enterprises. The knowledge sharing cost is the key influence factors to the knowledge sharing behavior of cluster enterprises. The government subsidies can guide more cluster enterprises sharing knowledge with the enterprises outside cluster. Finally, the conclusions in this paper are confirmed by the numerical analysis.
    Research on Fuzzy Portfolio Based on the Hybrid Algorithm of PSO and AFSA
    Song Jian, DENG Xue
    2018, 27(9):  148-155.  DOI: 10.12005/orms.2018.0217
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    This paper establishes a two-objective model with possibilistic mean, possibilistic variance and covariance instead of the mean value, variance and covariance in probability. The two-objective model is transformed into a single-objective model by using the linear weighting method of weighting the target, then a hybrid algorithm combined with particle swarm optimization and artificial fish swarm algorithm is designed to solve the problem. In this algorithm, the result of particle swarm optimization algorithm is taken as the initial fish group of artificial fish swarm algorithm, and the further search is made to avoid the shortcoming of particle swarm optimization. At the same time, the best position in the fish population is fed back to the velocity updating formula of the particle swarm to guide the motion of the particles and accelerate its convergence. Finally, the empirical analysis indicates that the hybrid algorithm of PSO and AFSA is effective, and the global optimum solution obtained by the hybrid algorithm is better than the one obtained by PSO.
    Dynamic Characterization of the Influence of Investor Sentiment andMarket Rates of Interest on Stock Market Index Returns
    XIONG Xiong, LIU Mu-han, CHEN Shu-ning
    2018, 27(9):  156-169.  DOI: 10.12005/orms.2018.0218
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    Based on the existing achievements and research gaps of domestic and foreign scholars on investor sentiment and market rates of interest, this paper mainly focuses on the verifying and solving the two following questions. On the one side, from the perspective of the long-term level, a large number of researches have proved and analyzed the relationship between stock market index returns and investor sentiment. As for the short-term research, however, it still needs further exploration. Consequently, in the paper, the authors discuss what is the relationship between stock market index returns and investor sentiment in the short-term level and what are the similarities and differences in the long-term level. On the other side, in terms of the overall and average level, many domestic scholars have made many efforts on the influences of investor sentiment and market rates of interest on stock market. Then, in this paper, under different market environments and the levels of income, how the stock market index returns will be dynamically affected by the market rates of interest and investor sentiment is analyzed.
       On the basis of the data from June 2015 to October 2006, the author utilizes the Shanghai Interbank Offered Rate (SHIBOR)as a representative of the market rates of interest and the return rate of Shanghai composite index as a representative of stock market returns. The investor sentiment index at the market level will be established without the effects of the macro economic cycle. Additionally, based on the co-integration test of the long-term relationship between investor sentiment and stock market returns, this paper constructs an error correction model (ECM) to describe the short-term relationship between the two factors. Combined with the mean regression results, under the background of different market environment and income level, the authors use the quantile regression model and selects different quantiles to depict and study the dynamic affecting process of market rates of interest and investor sentiment on stock market index returns.
       By analyzing and comparing with the investor sentiment and stock market returns from the perspective of long-term and short-term, we find that there is a long-term stable co-integration relationship between stock market index returns and investor sentiment. Moreover, compared with the long-term level, the level and significance of the influences of investor sentiment are stronger in short-term level, which plays an important role in the factors that affect the stock market returns.
       The results of mean regression and quantile regressions when picking different quantiles illustrate that on the mean level, the market rates of interest have no significant impact on the stock market returns. When in the bull market, there is a significant negative correlation between stock market returns and market rates of interest but a significant positive correlation between stock market returns and investor sentiment. Furthermore, in the bull market, with the increase of stock market returns, the two related functions will gradually be strengthened. When the market environment is extremely depressed, the rise of investor sentiment will have a significant positive effect on market returns.
       To sum up, firstly, as for making short-term decisions, investor sentiment should be considered as an important factor. Secondly, when the stock market returns is at a high level, market rates of interest and investor sentiment can be utilized as an effective means of financial regulation. Last but not the least, when the stock market has a large loss, regulators can stimulate investor sentiment to promote the recovery of the market boom.
    A Hybrid Algorithm Based on Gravitational Search and Particle Swarmfor the Portfolio Optimization Problem
    CHEN Guo-fu, CHEN Xiao-shan, ZHANG Rui
    2018, 27(9):  170-175.  DOI: 10.12005/orms.2018.0219
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    This research focuses on the portfolio optimization model considering transaction costs. Value-at-Risk(VAR)and Sharpe-Ratio(SR)are used respectively as the risk evaluation index and efficiency evaluation index for a portfolio. To solve the problem effectively, a hybrid optimization algorithm named IN-GSA-PSO is proposed by combining the Gravitational Search Algorithm(GSA)and the Particle Swarm Optimization(PSO)algorithm. The “global best” and “personal best” positions in PSO are integrated with the “acceleration” mechanism in GSA to determine the search direction. As a result, the hybrid algorithm is able to fully utilize the exploration and exploitation abilities of each individual algorithm. With fine-tuned parameters, the hybrid algorithm can achieve an effective balance between global search and local search and thus converges fast to high-quality solutions. We adopt the data of 50 stocks in the Shanghai index during 126 trading days in the second half of 2014 for simulation experiments using Matlab software. Experimental results show that the portfolio model considering transaction costs can guarantee higher yields for the investors. Computational results also suggest that the hybrid algorithm based on PSO and GSA outperforms individual algorithms when solving the portfolio optimization problem, leading to more satisfactory solutions.
    Management Science
    Research on the Evaluation Index System of ServitizationPerformance of Manufacturing Enterprises
    LIANG Yong-kang, YANG Shui-li
    2018, 27(9):  176-180.  DOI: 10.12005/orms.2018.0220
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    An index set is constructed by a grounded theory approach, and on this basis, the evaluation index system of servitization performance of manufacturing enterprises is designed through the analysis of importance and correlation of indexes and examination for its reliability and validity. The study finds that servitization performance of manufacturing enterprises is composed of product performance, customer performance, financial performance and market performance. The index system, including 12 second-class indexes, has good reliability and validity. The conclusion will provide a theoretical basis for enterprise evaluation and other empirical researches.
    In-store Boutique or Retailer-resell?Strategy Selection of the Entrant Manufacturer with Service Provision
    JIANG Yu-shan, LI Bo
    2018, 27(9):  181-189.  DOI: 10.12005/orms.2018.0221
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    In this paper, we study a new entrant manufacturer’s optimal invasion mode and the product promotion decisions by the Hotelling model under a duopoly market environment. The incumbent exists in the market with the store-within-a-store mode and the new entrant first needs to choose his invasion mode between the traditional wholesale mode and the store-within-a-store mode. Then the new entrant also needs to decide whether to take the product promotion. The results show that different encroachment strategies affect new entrant’s promotion decision. Revenue sharing ratio in the store-within-a-store mode is the main factor affecting the entrant’s mode selection. When this ratio is low, the entrant tends to choose the store-within-a-store mode. Finally, the impacts of revenue sharing ratio and product differentiation on members’ performance is analyzed by numerical experiments.
    Practical Evaluation of the OECD Measuring Instrument of Financial Literacy——Based on Field Survey of Concentrated Destitute Areas in Gansu
    GUO Xue-jun, HOU Yu-jun, FENG Yu, GUO Li-hong
    2018, 27(9):  190-199.  DOI: 10.12005/orms.2018.0222
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    To provide the opportunity of comparing the citizen’s financial literacy across countries, the OECD developed a standard measuring instrument for international financial literacy measurement exercise. So far, more than 30 countries have used it to collect data and it has become a model for other late-start countries. However financial literacy is a contextual construct, and it is essential for ensuring the robust measurement results to contextualize the measuring instrument. In this sense, for a sake of providing evidence for how to indigenize the above-mentioned measuring instrument in China, a survey is conducted with relevant specialists and farmers who live in concentrated destitute areas in Gansu province to evaluate the practicality of the measuring instrument on its wording of questions and score system. The received results indicate that there are 5 questions such as “definition of inflation” in the above-mentioned measuring instrument, whose wording of the questions is so difficult for the respondents that it has to be revised. Besides, since there are no consensus on the importance of the instrument’s components in different types of specialists, it is necessary to search after the causes of these differences further and the way to bridge them.
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