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Table of Content

    28 March 2015, Volume 24 Issue 2 Previous Issue    Next Issue
    A Review on IS Project Governance
    2015, 24 (2):  153-163.  doi: C 931.6
    Abstract ( )  
    During the last several decades, IS projects are becoming more and more sophisticated. The study for IS project management is moving to project governance. However, the IS project governance study in China is just starting. To promote the research on IS project governance in China, we analyze the concepts for IS project governance, and introduce the IS project governance based on five perspectives model, We discuss the details from the viewpoints of strategy alignment, decision control, risk and resource management, and value creation. We identify the future research based on real problems in organizations.
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    Gender Differences in Online Referral Bonus Program: The Perspective of Both the Proposer and the Responder
    2015, 24 (2):  164-173.  doi: F 272.3
    Abstract ( )  
    Referral bonus program is an effective way to extend client resources of online merchants nowadays. Because of one-on-one feature, gender behavior of proposer and responder determines the success rate of referral. Selecting male or female responder, we incorporate gender behavior into our study by experimental method to explore the behavior of proposer and male responder. The results show that a male proposer offers deviate from 50-50 higher than a female proposer. A male responder intends to accept the referral from a female proposer rather than a male proposer. A female proposer and a female responder are sensitive to the fairness of bonus. A female proposer intends to send referral to a female responder and a female responder intends to accept the referral from a female proposer. We also discuss the revelation of gender differences for successful referral bonus program.
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    System Dynamics Model of Earthquake Material Allocation Considering Decision-makers’ Psychological Risk Perception and Dynamic Traffic
    2015, 24 (2):  174-184. 
    Abstract ( )  
    The decision-makers’ psychology and behavior are critical in the process of emergency response. This paper focuses on relief materials scheduling after earthquake under dynamic traffic. Using the value function in Prospect Theory to measure rescue center and the decision-makers’ psychological risk perception, a SD model of earthquake emergency material allocate model under dynamic traffic was constructed, which including road capacity evaluation, material flows, decision-making process, and material requirements. The impact of different decision-making attitudes (optimism/pessimism) to the process of emergency material allocation are studied as well. The food supply to Wenchuan county in ‘5.12’ Wenchuan Earthquake is taken as an example to testify the model’s validity and robustness.
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    MONNIA System for Collaborative Slots Allocation
    2015, 24 (2):  185-189.  doi: V 355;U 8
    Abstract ( )  
    CDM GDP is a safe, effective and fair strategy for air traffic flow management, capable of handling the serious delay of flights caused by paroxysmal decline of airport capacity. As the key of CDM GDP, collaborative slots allocation includes first and second allocation, how to allocate slots effectively, fairly and reasonably is very important. In this paper, the characteristics of NNIA are analyzed, NNIA is applied in collaborative slots allocation, and MONNIA model for collaborative slots allocation of airport arrival and departure is constructed. The simulation experiment indicates that it minimizes the cost and time of delay and balances the loss of airline companies based on taking full advantage of capability and allocating slots effectively. The model utilizes the slot resource effectively and fairly, with its economy values and significance.
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    Principal Agent Relationship Among Three Participants in Venture Capital: Based on Entrepreneurs’ Overconfidence and Venture Capitalists’ Supervising Efforts
    2015, 24 (2):  190-199.  doi: F 830.91
    Abstract ( )  
    This paper establishes principal-agent relationships among venture capitalist, bank and entrepreneur under the condition of incomplete information, proves that there exist the critical value of venture capitalists’ supervision, and then analyzes the impact of entrepreneurs’ overconfidence, venture capitalists’ supervising efforts on the relationships among venture capitalist, bank and entrepreneur. It shows that, in case of three participants, when the proportion of venture capitalists’ supervision is smaller than the critical value and the effect of supervision from venture capitalist is greater than the effect of the added service function, venture capitalists’ supervision makes entrepreneur and bank more willing to be involved in the investment; entrepreneurs’ overconfidence makes venture capitalist and bank more willing to be involved in the investment; with double moral hazard, when the proportion of venture capitalists’ supervision is smaller than the critical value and the effect of supervision from venture capitalist is greater than the effect of the added service function, venture capitalists’ supervision makes their optimal effort level and proportion of optimal rights allocation become higher; entrepreneurs’ overconfidence makes their optimal effort level become higher while the proportion of venture capitalists’ optimal rights allocation will be reduced.
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    Investment Model based on Singular Stochastic Control Problems with Stopping Time
    2015, 24 (2):  200-208.  doi: O 211.6
    Abstract ( )  
    This paper discusses the problem of investment decision, and the investment model is based on a class of singular stochastic control problems with stopping time. To obtain the optimal investment strategy, we use the results of optimal control problems and the theory of stochastic analysis. By solving some variational inequalities, we obtain the optimal stopping time and the closed-form of the optimal cost function. We further consider the investment model with starting time as well as stopping time, and improve some methods and ideas to solve the model.
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    Dynamic volatility relationship between the CSI300 futures and the spot market: perspective from the VECM-GJR-DCC-MGARCH-t model
    2015, 24 (2):  209-214.  doi: O 212
    Abstract ( )  
    Based on the VECM-DCC-MGARCH model, considering asymmetric effect through GJR form and using t-distribution to describe abnormal distribution characteristics, we propose an improved VECM-GJR-DCC-MGARCH-t model, and empirically analyses dynamic volatility relationship between the CSI300 futures and the spot market since establishment of CSI300 index futures. The results show that there exists a high correlation between CSI300 futures and spot market volatility as a whole, but the correlation varies. In particular, when the market quotation goes up, their correlation significantly reduces. Furthermore, the spot market’s reactions to negative influence is more sensitive. Finally, past unexpected volatilities and past volatilities in the spot market weaken the fluctuations of futures, though past unexpected fluctuations and past fluctuations in the futures strengthen the spot market volatilities.
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    On Location and Capacity Decisions of Transportation Hubs with Congestion
    2015, 24 (2):  215-223. 
    Abstract ( )  
    This paper develops optimization models for transportation hub with congestion to simultaneously optimize location and design decisions, including capacity and flow allocation. It is assumed that the distribution function of demand between each O-D pair is given. Congestion at hub is modeled as a network of M/M/1 queues and the problem is formulated as a nonlinear mixed-integer program that explicitly minimizes location, congestion, capacity acquisition, and transportation costs. For continuous and discrete capacity decisions, heuristics based on Lagrangian relaxation to handle large size instances are presented. Computational experiments are performed to verify the effectiveness of the algorithms. The results of the two models are compared as well.
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    Recycling Competition Model of Closed-Loop Supply Chain based on Multi-Agent Modeling
    2015, 24 (2):  224-229.  doi: F 224.1
    Abstract ( )  
    Long-term optimization and development of closed-loop supply chain is an important premise to its positive externalities. The competition among many recyclers is one of the important characteristics of some closed-loop supply chains in China. Based on the study of recycling prices with two recyclers’ competition, this paper studies the recycling price in closed-loop supply chains when many recyclers take cost optimization and compete with each other though Multi-Agent modeling and simulation. The results show that the recycling quantity and total profits when recyclers take cost optimization are much higher than that of situation with fixed cost. Recycling cost optimization for long-term coordination of closed-loop supply chain is extremely important thus to promote the closed-loop supply chain practice, the government should subside recyclers’ cost optimization efforts rather than directly subsidies recycling prices.
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    Effect of Reference Point on Flow Distribution in Network with Congestion Pricing
    2015, 24 (2):  230-236.  doi: U 491.1
    Abstract ( )  
    This paper investigates travelers' reference-dependent route choices and the corresponding network flow distribution. It is assumed that travelers set their currently expected travel costs as the reference points, where the reference points are two-dimension parameters consisting of travel time and congestion cost. A reference-dependent route choice model is constructed and then incorporated into a user equilibrium model. This paper establishes the equivalence of the reference-dependent user equilibrium model and a variational inequality formulation. An algorithm is proposed to solve the model. The numerical results show that the traffic flow distribution in equilibrium depends on both the current and the past congestion tolls.
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    Calculation Method of Buffer Size on Critical Chain with Duration Distribution and Multi-resource Constraints
    2015, 24 (2):  237-242.  doi: F 224
    Abstract ( )  
    An improved method of buffer size calculation is proposed, taking into consideration of the activity duration risk, the resource impact coefficient, and the impact of non-critical chain. Considering the impact of the project resources constraints and activity resource requirements, we propose an impact coefficient calculation method; based on the activities duration distribution, using Monte Carlo simulation to estimate activity safety time, we develop an improved method for calculating non-critical chain remaining buffer, and an improved method for adding the remaining buffer into project buffer. A numerical example shows that the improved method is reasonable to reduce the duration risk on the project schedule, and shorten the duration of the project plan.
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    Empirical Study on the Interaction between the Impact Factors in Product Quality Crisis
    2015, 24 (2):  243-253.  doi: C 931.2
    Abstract ( )  
    Through theoretical analysis and based on the recognition results of main factors in product quality crisis, we propose the theoretical hypothesis on the interaction between product realization, resource management and quality improvement, and build a conceptual model. By questionnaire and surveys, we collect and statistically analyze data using structural equation model. We also explore the mechanism of the interactions among the factors that influence the product quality crisis, expecting to provide references for enterprises on the pre-control of product quality crisis. The results show that, product realization factors directly affect the pre-crisis ability to control product quality, resource management factors indirectly affect product quality crisis pre-control capability through product realization factors, quality improvement factors indirectly affect product quality crisis pre-control capability through product realization factors, and there is an interaction between quality improvement factors and resource management factors, both through product realization factors indirectly affecting product quality crisis pre-control capability.
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    Dynamic Modeling and Government Decision for Fast Implementation of Food Traceability System
    2015, 24 (2):  254-259. 
    Abstract ( )  
    Theory on consensus of leader-follower multi-agent systems is used for establishing a dynamically evolving model of multiple food enterprises carrying out the food traceability system subject to government intervention. The stability theory of discrete-time linear systems and algebra graph theory are employed for deriving the stability conditions for multiple food enterprises implementing the food traceability system with a government-expected level. The optimal government decision strategy is obtained for fast implementing the food traceability system with a government-expected level in multiple food enterprises based on fast convergence theory of linear systems. For a given example, the LMI tool in Matlab is used for obtaining the optimal government decision strategy, and numerical simulations are provided to illustrate the effectiveness of theoretical results.
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    Asymmetrical Information, Social Effective Investment Level and the Selection of Term of Venture Capital Contract
    2015, 24 (2):  260-266.  doi: F 830.59
    Abstract ( )  
    We construct a short-term contract model and a long-term contract model of venture capital under asymmetrical information. By comparing the results of the two models, we find that the investment level of the long-term contract is strictly better than that of the short-term contract. However, neither of them can reach the optimal social investment level, since venture capital project is terminated prematurely. In addition, the effects of asymmetrical information on the social effective investment level and the investment levels of both the short-term contract and the long-term contract are all proportional to each other in terms of direction and scale. Under asymmetrical information, on one hand, it is proved that the inefficiency of the short-term contract of venture capital is inflexible and cannot be improved. On the other hand, the inefficiency of the long-term contract can be improved by raising discount rate or reducing the subjective success probability of the project, while it cannot be eliminated completely.
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    Cost-Sharing Incentive Contract in Supply Chain with Asymmetric Information
    2015, 24 (2):  267-274.  doi: F 274
    Abstract ( )  
    The cost-sharing incentive contract performs better than the fixed-price contracts and cost-plus contracts when the risk-aversive supplier encounters the uncertainty of R&D or manufacturing costs. The different cost-sharing coefficients in incentive contracts provide different degrees of incentive on the supplier's R&D efforts. We build a two-echelon supply chain composed of a risk-neutral purchaser and a risk-aversive supplier, and analyze and compare the optimal cost-sharing linear contracts in the cases of symmetric and asymmetric information. The study shows that in optimal linear contracts, supplier's cost-sharing coefficients in both cases decreases with the increasing cost uncertainty, the fixed payment of the purchaser to the supplier increases along with the uncertainty of costs; in case of asymmetric information the supplier's cost-sharing coefficient is lower than in the case of symmetric information. The results are also illustrated by numerical examples.
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    Integrated Scheduling for Two-stage Supply Chain with Batch Production and Outbound Distribution
    2015, 24 (2):  275-279.  doi: C 931
    Abstract ( )  
    The paper studies an integrated production and transportation scheduling problem in a supply chain, where there are a single manufacturer with unbounded batch processing capacity and a single customer places various orders at the beginning. We consider the case where there are unconstrained transportation vehicles each with unlimited capacity. We propose several models develop an time solution algorithm, where n is the number of orders. We carry out a simulation experiment and study the influence of preference parameter between customer service levels and total transportation costs on the integrated supply chain scheduling.
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    Supply Chain Coordination Model with Joint Decision of Demand Information Updating Time Point and End-of-season Emergency Ordering
    2015, 24 (2):  280-288. 
    Abstract ( )  
    This paper first integrates the end-of-season twice-ordering policy with pre-season twice-ordering policy. Under the assumption that the manufacturer utilizes two production modes in response to the buyer’s two different orders, we develop a supply chain coordination model with joint decision of demand information updating time point and end-of-season emergency ordering. Furthermore, we discuss how to design multiple contracts to achieve the channel coordination. From the analysis, we find that as the backlogging rate increases, (i) the buyer will move the updating moment forward and at the same time decrease his/her first order quantity, and the manufacturer also decreases its first production quantity correspondingly; (ii) the difference of expected profits between the decentralized- and centralized-system becomes less and less, which indicates that the shortage backlogging can effectively eliminate the double marginalization. The more the backlogging quantity is, the less the double marginalization effect.
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    A Model of Lead-time Variance Crashing for Multi-item Supply Chains with Milk-Run
    2015, 24 (2):  289-295.  doi: F 253.4
    Abstract ( )  
    We study a multi-item supply chain composed of a manufacturer and multiple suppliers and with milk-run consolidation. The milk-run process from one supplier to another causes the accumulation of variances of transportation and production, and increases the total lead-time variance thus leads to the increased total cost. In fact, production lead times of suppliers and transportation lead times can be reduced at certain crashing cost. Aiming at minimizing supply chain total costs, we develop an optimal multi-item supply chain integrated inventory model to study how to properly crash the lead time variance for milk-run. We present a heuristic algorithm to solve the proposed model and show the effectiveness of the model and the algorithm using numerical examples.
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    Coordination of Three-Stage Supply Chain with Unconventional Disruptions through Buy-Back Contract
    2015, 24 (2):  296-304.  doi: F 406.7
    Abstract ( )  
    We study whether the three-stage supply chain that consists of single retailer, single distributor and single supplier can be coordinated or not to respond to unconventional emergencies through buy-back contract. We take the retail price being endogenous variables or exogenous variables as the essential characteristic of differentiating unconventional emergencies and conventional emergencies, and build emergencies contingency model with buy-back contract when unconventional emergencies occur. We obtain the best ordering and pricing strategies and compare them with the situations under no-emergencies and conventional emergencies. The analytic results are verified by numerical examples. The study shows that the three-stage supply chain with the benchmark buy-back contract cannot be coordinated to respond to unconventional emergencies. Nevertheless, if appropriate adjustments are made on wholesale price, the coordination of the three-stage supply chain with buy-back contract can be achieved to cope with unconventional emergencies.
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