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Management Science and Engineering (ICMSE), 2011 International Conference on

Date 13-15 Sept. 2011

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Displaying Results 1 - 25 of 207
  • [Title page]

    Page(s): 1 - 9
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    Freely Available from IEEE
  • Contents

    Page(s): I - XIV
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    Freely Available from IEEE
  • Research on the factors affecting the adoption of supplier — Retailers inter-organizational information systems

    Page(s): 3 - 9
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (131 KB) |  | HTML iconHTML  

    With the rapid development of our country's retail trade, inter-organizational information systems get attention by the retailers and suppliers. Many scholars have been research on the factors affecting the adoption of inter-organizational information systems, but research is mainly very little about the adoption of supplier - retailer inter-organizational information systems and adoption hierarchy, this paper mainly researches affecting factors to suppliers-retailers inter-organizational information systems from the leadership and environment. The results of the study show that these factors have positive influence to adoption willing of supplier - retailer inter-organizational information systems including leader's risk preference, information demand and competition degree; Leader's risk preference and information demand have positive influence and to adoption hierarchy of supplier - retailer inter-organizational information systems. View full abstract»

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  • Study on the method of identifying opinion leaders based on online customer reviews

    Page(s): 10 - 17
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (154 KB) |  | HTML iconHTML  

    The deepening adoption of Web2.0 technology causes more and more users to publish reviews on the web about products, services, brands or business, and the online customer reviews (OCR) greatly influence customers' purchasing decisions and corporate reputations. Therefore, it has significant value for enterprises to identify the opinion leaders of OCR. This study proposes a RFMS model to measure the influential power of OCR publisher combining RFM model and automatically measuring method of sentiment words, then identify opinion leaders by applying artificial neural network, finally assess the validity of identifying results based on the degree of centrality. This research analysis the online reviews of dianping.com, and make a data verification of the proposed method. Results show that the proposed method in this paper can accurately identify opinion leaders. View full abstract»

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  • Modeling of information diffusion based on network dimension-force

    Page(s): 18 - 27
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    Before modeling basic hypotheses were determined firstly according to realistic status of network information diffusion. Then based on above hypotheses the mode of network information diffusion was analyzed, including its information amount, which provided the quantitative basis to describe the effect of network dimension-force. Then the cycle of network information diffusion was analyzed, and emphasis was put on cycle structure, information attainable stage, information adoptable stage and information secondary transfer stage. On that basis, we determined the principle and method of using the D-value (difference value) of diffusion stage to describe the effect of network dimension-force, and established network information diffusion model. Simulation was performed with practical data, and confirmed the effectiveness of the established model. View full abstract»

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  • Prediction based on support vector machine for travel choice of high-speed railway passenger in China

    Page(s): 28 - 33
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (118 KB) |  | HTML iconHTML  

    High-speed railway is a very important part of transportation industry in China, and travel choice has key effect on the development of high-speed railway. Therefore, research on travel behavior of passengers and prediction their travel choice, will offer valuable suggestion for high-speed railway running. In this paper, support vector machine (SVM) is the main method being used to predict. Support vector machine is based on the structural risk minimization principle, and it improves the generalization ability of learning machine to the maximum extent. When solving the limited-sample and nonlinear problems, support vector machine has advantages in predicting. In this research, we get six most important factors, which affect travel choice by the means of questionnaire survey, then use libsvm tool to build prediction model and optimize the train parameters of support vector machine. Finally the prediction accuracy is as high as 91.44%, which shows that support vector machine is good at predicting. View full abstract»

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  • The effect of online word-of-mouth in electronic markets: An investigation of the culture differences in the Chinese and U.S. contexts

    Page(s): 34 - 40
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (962 KB) |  | HTML iconHTML  

    Feedback profiles could affect both prices and the probability of sales. However, cultural mindset interprets the online feedback differently, which is likely to result in the variation of online trading behavior. The previous studies have been long downplayed in the online trading behavior. With the growing amount of Chinese E-Commerce, we ask whether the western e-commerce model works in the Chinese Context. This study attempts to explore and compare the effect of online word-of-mouth on trust building, and price premium in Chinese and U.S. Contexts. We propose that collectivism would increase the buyer's reliance on the feedback profile. Risk avoidance moderates the association between information of feedback profile and price premium. Structural equation model and regression techniques will be employed to analyze the data collected from online auctions and questionnaires. Future research opportunities are identified. View full abstract»

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  • Evaluation of knowledge complementary degree for creative industry cluster based on BP neural networks

    Page(s): 41 - 46
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (144 KB) |  | HTML iconHTML  

    Creative industries are intelligent, highly knowledgeable. Cluster model increasingly becomes the main economic organization form of the world creative industry. Getting complementary knowledge and realizing the knowledge complementary within creative industry cluster is the main motivation of each cooperator. What's more, the complementary degree of knowledge also determines the development altitude of creative industry cluster. So, the BP neural network model was applied to evaluate the degree of knowledge complementary within the creative industry cluster. This paper constructs the creative industry cluster evaluation index system of knowledge complementary degree. Simultaneously, the paper has proposed the method to evaluate the creative industry cluster knowledge complementary degree based on BP Neural Networks. The study indicates that BP neural network is a model without linear mapping. It can give a satisfactory effort while the indices with a high level of correlation, nonlinear changing and data lacking. So, it's a relatively optimum method used for forecasting, with wide applying area and high value of popularizing. View full abstract»

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  • Research on consumer trust and satisfaction in mobile commerce

    Page(s): 47 - 51
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    Trust and satisfaction are essential ingredients for success business relationships in mobile commerce. Yet there is little research on trust and satisfaction in mobile commerce that takes a longitudinal approach. Based on the technology acceptance model, self-perception theory and expectation-confirmation theory, this study builds a two-stage theoretical model of consumer trust and satisfaction in the context of mobile banking, and discusses the effects on consumer trust on usage, perceived usefulness and perceived ease of use in the usage phase, the feedback effects of usage on perceived usefulness, perceived ease of use and confirmation and the evaluations mechanisms in the post-usage phase. The empirical results indicate that trust has influence on usage, perceived usefulness and perceived ease of use, usage has significant feedback on perceived usefulness, perceived ease of use and confirmation, confirmation has positive impacts on perceived usefulness and perceived ease of use, and users' evaluations have significant impact on satisfaction. View full abstract»

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  • Network governance at local — A comparative approach

    Page(s): 55 - 60
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    Factors influencing the effectiveness of democratic institutions and to that effect processes involved at the local governance level have been the interest in the literature, given the presence of various advocacies and networks that are context-specific. This paper is motivated to understand the adaptability issues related to governance given these complexities through a comparative analysis of diversified regions. We adopted a two-stage clustering along with regression methodology for this purpose. The results show that the formation of advocacies and networks depends on the context and institutional framework. The paper concludes by exploring different strategies and dynamics involved in network governance and insists on the importance of governing the networks for structural reformation through regional policy making. View full abstract»

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  • Capacity flexibility premium under different demand uncertainties

    Page(s): 61 - 66
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (146 KB) |  | HTML iconHTML  

    In this paper, we study the effect of different demand shocks on flexibility premium in capacity investment. We find that capacity flexibility premium is significantly higher under additive demand uncertainty than that under multiplicative demand shock. The result suggests that real options approach is more appropriate for investment decision in additive model, and when under multiplicative demand shock the simple net present value (NPV) rule is efficient enough for firm to make accurate decision. That may provide additional theoretical support to explain why many firms still prefer NPV approach in reality. Before using real options approach indiscriminately, first to analyze and identify the nature of demand should be necessary. We examine this problem by dynamic programming and extend the application of bi-variable tree approach for jump diffusion stochastic processes. View full abstract»

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  • Mechanism model of the influence on board structure from the control of single blockholder

    Page(s): 67 - 72
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (115 KB) |  | HTML iconHTML  

    In view of the high ownership concentration of Chinese listed companies, large shareholders tend to make use of the high voting rights at general meetings of shareholders to control the general assembly, so that they can control the composition and structure of the board of directors. Therefore, it's inevitable to consider the phenomenon of the existence of large shareholders when studying the board structure of China's listed companies. Basing on the large shareholders' “tunneling” behavior, this paper constructs Mechanism model of the influence on board structure from single blockholder; the study portrays the board structural feature of China's listed company that is under the control of single block-holder. After the model inferential reasoning, the conclusion is that: under the assumptions that there exist large shareholders in companies, if the large shareholders can influence the structure of the board members, for the purpose to invade the company's value, the large shareholders will arrange the board members appointed by themselves as many as possible, and reduce the non-appointed board members by themselves as many as possible. Meanwhile, the stronger the control ability of the company's large shareholders is, the clearer this trend will be. View full abstract»

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  • Modeling solution and properties research on the General GM(1,1) model

    Page(s): 73 - 78
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (133 KB) |  | HTML iconHTML  

    Discrete GM(1,1) model solves the bias defect in homogeneous exponential fitting using GM (1,1) model. General GM(1,1) model solves the conversion problem of the original equation between differential form and differential form, and can effectively profile GM(1,1) model and Discrete GM(1,1) model. But, the modeling mechanism, solution approach and lots of good properties about General GM(1,1) model do not take in-depth studying. So that, we research the mechanism of the General GM(1,1) modeling and three solution approaches about the stepwise ratio including the fitting approach of initial information, the fitting approach of new information and the overall error minimization approach in this paper. Then, we further detailed analysis some important properties such as the general nature, the fitting optimization property, the homogeneous exponential property and the unbiased property to fit homogeneous exponent. At last, the feasibility and the optimization properties are confirmed through an real example. Then, General GM(1,1) model and Grey Prediction Theory could be effetely improved and perfected for this article. View full abstract»

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  • A study of a “Concussion-Response” chaotic synchronization pattern for enterprises

    Page(s): 79 - 84
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    Chaos derives from random concussion and fluctuation. Due to the ubiquity of uncertainty and nonlinearity, an enterprise is always in complex internal and external environments. Chaos has become a normality, and traditional strategic management theory and methods, based on the assumption of simplicity and linearity, no longer apply. Management science requires new theoretical methods to help enterprises cope with the changes of the concussive environment, so as to realize the adaptive evolution from chaos. This article presents a “Concussion-Response” chaotic synchronization pattern illustrating the process of enterprises' adjustment to the environment, analyses the essential factors of concussion and response subsystems in the enterprise system, based on which a chaotic synchronization pattern is established using Lorenz equations set, and at the end presents the chaotic synchronization strategy matrix for enterprises. View full abstract»

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  • The analysis of state-owned assets management under mutual trust mechanism based on system dynamics model

    Page(s): 85 - 92
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (272 KB) |  | HTML iconHTML  

    In this paper, the mutual trust mechanism between government and state-owned enterprises (SOEs) is divided into three modes (Plan-Control, Guide-Coordinate, Supervise-Serve), in accordance with three different types of government-enterprise relationships. These types of relationships are identified according to the organizational form of SOEs in China as well as the present situation of relationships between government and SOEs. From the basic content of mutual trust mechanism, we apply Systems Dynamics (SD) model to simulate these three modes' and traditional state-owned assets operation under different market conditions. It indicates that Plan-Control mutual trust mechanism plays a better role when market demand is stable, while Guide-Coordinate mutual trust mechanism is more adaptable to demand disturbance. Besides changes in market demand, the internal structure of the system also has some influence on state-owned assets management under mutual trust mechanism. View full abstract»

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  • System dynamics analysis for the impact of dynamic transport and information delay to disaster relief supplies

    Page(s): 93 - 98
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (147 KB) |  | HTML iconHTML  

    In the disaster-relief operations, the emergency supplies usually suffer heavy and dynamic transport delay and information delay. The mechanism of how those delays influence the material flow and information flow is relatively less studied. In this paper, a system dynamics model is presented to describe the disaster-relief supply chain under dynamic transport and information delays. Three levels of each delay are generated respectively and nine scenarios are cross-constructed from them. The simulation results indicate that the transport delay influences the material flow directly, while the information delay impacts the system in multiple ways. Furthermore, two enhanced inventory desiring methods trying to suppress those impacts are discussed. The improvement of performance points out that both the level and the fluctuation of transport delay are affecting the final supply level. View full abstract»

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  • Semidefinite programming relaxation for portfolio selection with higher order moments

    Page(s): 99 - 104
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (163 KB) |  | HTML iconHTML  

    With the nor-normal distribution and nor-binomial utility function of investors, higher-order moments should be taken into consideration with portfolio selection. So far, studies on portfolio selection with higher-order moments are mainly conducted under the framework of mean-variance-skewness while kurtosis is seldom taken into account. But many literatures have pointed out kurtosis play more important role in portfolio selection than variance and skewness. So, in order to fill up the study gap, portfolio selection with higher-order moments will be studied, under the framework of mean-variance-skewness-kurtosis, in this paper. Firstly, the optimization model of portfolio selection with kurtosis minimization is set up. Then, semidefinite programming relaxation is suggested based on research results of Lasserre and Waki to resolve the difficulty of model solution from the higher order and non-convexity of objective function and the efficient frontier of portfolio selection model minimizing kurtosis is deduced theoretically. Finally, the theoretical efficient frontier and the effectiveness of semidefinite programming relaxation are verified through empirical analysis. View full abstract»

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  • Single-resource capacity control with random-fuzzy demand

    Page(s): 105 - 110
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (183 KB) |  | HTML iconHTML  

    This paper studies the capacity control problem in revenue management with single resource, where the decision maker can only estimate the type of probability distribution of uncertain demand, but they do not have the necessary historic data to estimate the parameters of these distributions. We model these uncertainty parameters with fuzzy variables. Based on the theory of fuzzy satisfaction degree for objectives, the fuzzy nonlinear programming model in this paper is transformed into a convex programming problem. By using the lagrangian multiplier and the Kuhn-Tucker conditions we obtain the optimal solution of the model. Owing to the information for demand in random-fuzzy environment is less than only in the random environment, the paper reveals that the protection level for the highest class with random-fuzzy demand are more than only in random environment and it depends on the membership of the fuzzy environment, what's more, if and only if the membership equals 1, the protection level in these two situations are the same to each other. The model in this paper can be viewed as a generalization of single-resource capacity control with random demand. View full abstract»

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  • Application of factor analysis and fuzzy c-means for classification of knowledge intensity in China's manufacturing industry

    Page(s): 111 - 117
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    This paper introduces an application of factor analysis for illuminating the distinct dimensions of manufacturing's knowledge intensity which then gives help to industry classification with fuzzy c-means. With the world now coming into an age called “knowledge economy”, it is necessary to analyze the industry level and knowledge-intensity in different industries, furthermore, analyze how those reflect the industrial structure and ultimately the entire economy. With respect to knowledge-based innovation theory, principle component analysis is to be used, while a number of possibly correlated knowledge measures are transformed into a smaller number which can be used to identify different industries with different knowledge intensity. The data from China's manufacturing industries in recent 5 years shows the developing paths of those industries. The empirical results show that although knowledge-intensity-based classification of China's manufacturing industry is similar to those of foreign countries, many industries are much less developed and even lagged far behind. China's industrial structure still needs to be perfected. View full abstract»

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  • Extended VIKOR for multi-criteria decision making problems under intuitionistic environment

    Page(s): 118 - 122
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (128 KB) |  | HTML iconHTML  

    The VIKOR method was developed for multi-criteria optimization of complex systems. This method focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria. It introduces the multi-criteria ranking index based on the particular measure of “closeness” to the “ideal” solution. The aim of this paper is to extend the VIKOR method for decision making problems with ratings of alternatives being expressed using intuitionistic fuzzy sets and criteria weights is completely unknown. To determine the weights with respect to a set of criteria represented by intuitionistic fuzzy sets, we establish an entropy weight model, which can be used to get the criteria weights. Furthermore, a novel nonlinear normalization technique is adapted to modify the VIKOR. Finally, a compared numerical example illustrates and clarifies the main results developed in this paper. View full abstract»

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  • A method for multi-attribute decision making based on ER-AHP

    Page(s): 123 - 128
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    As a nascent method of multi-criteria decision-making with uncertainty, DS/AHP is similar to the analytic hierarchy process (AHP) in structure and its analytic processes are based on Dempster-Shafer (DS) theory. However, it is unsuitable to deal with the multi-attribute decision making with incomplete information, especially the attributes with missing values. In this paper, a new method for multiple-attribute decision making based on ER-AHP has been proposed, which incorporates the Evidential Reasoning (ER) algorithm with AHP. Firstly, each alternative is compared with the negative ideal alternative under an attribute to form the decision table by experts. Then a new basic probability assignment function (BPA) is constructed to express the incomplete information and some properties of the function are proved. After then, based on the results of aggregation which combines the attributes of each alternative by the ER algorithm, the alternatives are sorted and selected. Finally, the ER-AHP is compared with the DS / AHP through a numerical example. View full abstract»

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  • Mediation and moderated mediation in the relationship among entrepreneurial self-efficacy, entrepreneurial intention, entrepreneurial attitude and role models

    Page(s): 129 - 134
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    With the more support of country to university students' innovative undertaking, this paper addresses the effects of entrepreneurial self-efficacy (ESE) and entrepreneurial attitude on forming entrepreneurial intention, and whether the effects vary by role models. Data were collected from 643 undergraduate students. Through the analysis of SPSS15.0, the results suggested as the follows: (1) ESE had a significant and positive impact on entrepreneurial intention, (2) entrepreneurial attitude partially mediated the effect, (3) exposure to entrepreneurial role models moderated it. A moderated mediation relationship was observed such that, ESE influenced entrepreneurial attitude, which, for students who have a higher exposure to entrepreneurial role models, had a much stronger influence on entrepreneurial intention. Results are discussed in terms of implications for theory and practice. View full abstract»

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  • Research on slotting optimization in automated warehouse of pharmaceutical logistics center

    Page(s): 135 - 139
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    In the automated warehouse storage management process, due to changes in internal and external environment, the cargo space in the warehouse will become inappropriate and will have to be re-allocated to improve cargo management efficiency and reduce storage management costs. In view of the storage characteristics of pharmaceutical products and the characteristics of automated warehouse, in order to improve the efficiency of the goods moving into and out of the warehouse, store related products together, decrease transportation time of moving products, this paper puts forth a multi objective model, uses genetic algorithms to solve the model, and uses a simulation example to prove the model. The result shows that storage mode can, basically, satisfy the three objectives and achieve slotting optimization. View full abstract»

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  • Mechanism design of profit distribution for dynamic cooperation

    Page(s): 140 - 146
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    Characteristics of profit distribution for dynamic cooperation have been analyzed from following three aspects: profit that can be distributed, standards for profit distribution and way of how to distribute it. Research has found that proper mechanism of profit distribution can substitute the roles of managerial rules and motivation to some degree and improve the performance of cooperation as well as fruitful outcome. Considering the trait of dynamic cooperation, mechanism of profit distribution which covers the phases of identifying the profit that can be distributed, making principals of distribution and choosing the way of distribution has been proposed. Furthermore, game theory model based on the characteristics of dynamic cooperation has been built to solve the problem of profit distribution in practice. View full abstract»

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  • A model of interdisciplinary research based on the double knowledge innovation view

    Page(s): 147 - 152
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    Interdisciplinary research is an important organizational pattern with integration of heterogeneous knowledge, modes of thinking and motivation to solve complexity engineering problems, based on innovative tasks. To clarify and analyze knowledge innovation mechanism of interdisciplinary research is conducive to effectively management and operation interdisciplinary organization. Based on the analysis of the static and dynamic knowledge innovation perspectives, this paper further constructed the model of interdisciplinary research to reveal interdisciplinary research emphases, features and functions. The model, incorporating three core dimensions of interdisciplinary research, embodies the macroscopic characteristics of selection the relevant disciplines to expand knowledge and organization boundaries and the microscopic characteristics of dynamically integration of different knowledge units with members consciously learning, according to the goals of organization innovation. View full abstract»

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