Proceedings of the Seventh International Conference on Management Science and Engineering Management

Decision making process in maintenance management produces a final choice. Fault Tree Analysis (FTA) is proposed as a graphical representation of logical relationships between the elements that comprise the decision making process in maintenance management. A Fault Tree (FT) is compound by different events and logic gates. Complex systems analysis may produce thousands of combinations of events (cut-sets) that can cause the system failure. The determination of these cut-sets can be a large and time-consuming process even on modern computers. Binary Decision Diagrams (BDD) provides a new alternative to the traditional cut-set based approach for FTA that leads to the determination of the function output value through the examination of the input values. BDD is a directed acyclic graph that represents the Boolean functions. The cut sets generated by BDD will depend on the events ordering. The “Level”, “Top-Down-Left–Right”, “AND”, “Depth-First Search” and “Breadth-First Search” methods have been considered for listing the events, and a comparative analysis of them has been done. A new ranking approach is proposed in this paper, where its efficiency has been validated.

Network of practice (NoP) operating on social media have been rapidly grown in recent years since the social media allows users not only to create contents, but also to interact with each other. A new type of NoP using social networking services (SNS) is defined as a social network of practice (sNoP). SNoP involves a collection of individuals who communicate, collaborate, and exchange knowledge openly with others sharing a common practice. Relatively little has been published focusing on the factors that influence the participation in knowledge sharing within the sNoP. This study focuses on the determinants of knowledge sharing in sNoP whose inquiry requires not only social theories, but also socio-technical views. Building on the social cognitive theory, the social capital theory, and the technology acceptance theory, this research-in-progress paper aims to explore how personal cognition, social capital, and technology acceptance attitude affect knowledge sharing in sNoP.

With the changes in the government management system and marketoriented reforms in the field of China’s economic, the separation between the State and the Society comes into being. During the fast development of kinds of NGOs, the state power begins to transfer to other poles that may promote social mobilization in China. Due to the administrative control and the legal constraint, the actual mobilization action transfers to mobilization on Internet, which need less political cost, spread faster but have more difficult governance problems. The NGOs are regarded as the important organizations in the citizen society, this paper would analyze the functions of NGOs in the occurrence and spread of social mobilization in cyberspace. According to analyzing the Chinese NGOs’ Internet application ability and the relationship between Internet and citizen in contemporary China, this paper will put forward the function of NGOs in Internet mobilization; moreover, give some suggestions on how to react to the Internet mobilization for government.

Extracting learning concepts is one of the major problems of artificial intelligence on education. Essentially, the determination of learning concepts within an educational content has some differences as compared with keyword or technical term extraction process. However, the problem can still taught as a classification problem, notwithstanding. In this paper, we examine how to handle the extraction of learning concepts using support vector machines as a supervised learning algorithm, and we evaluate the performance of the proposed approach using f-measure.

This paper predicts good price based on RBF neural network employing hybrid fuzzy clustering algorithm. PCA technique has been used to integrate the 6 parameter dependent sub-variables of each TI (Technical Indicators, include MA, ROC, BIAS, D, K), which has been originated from the gold price before, and the results act as input. By employing a new hybrid fuzzy clustering algorithm, which is proposed by Antonios and George [10], K-Mean clustering algorithm and RBE algorithm, the predictions of price are yielded for each interval-n model. n refers to the number of predictions achieved by 1 operation. The most important conclusion indicates that the hybrid fuzzy clustering algorithm is superior to the general RBF central vector selecting algorithm mentioned above, in the aspects of MSE, P-Accuracy Rate and ROC.

This paper presents a cloud-based decision support system framework for order planning and tracking in a distributed manufacturing environment. Under this framework, computational intelligent techniques are employed to generate order planning decisions while RFID and cloud computing technologies are utilized to capture real-time production records and make remote production order tracking. On the basis of this framework, a pilot system was developed and implemented in a distributed manufacturing company, which reported distinct reductions in production costs and increases in production efficiency. The system framework is also easy-to-extend to integrate wider operations processes in supply chain.

In the present paper, for the location problem of a third-party logistics company which is under the fuzzy random environment, we proposed an chance constraint model. In order to solve it, we transform it into an equivalent crisp model by some mathematical proofs. Finally, an illustrative examples are given in order to show the application of the proposed models.

The Bandpass problem has applications to provide a cost reduction in design and operating telecommunication network. Given a binary matrix Am × n and a positive integer B called the Bandpass length, a set of B consecutive non-zero elements in any column is called a Bandpass. No two bandpasses in the same column can have common rows. The general Bandpass Problem consists of finding an optimal permutation of rows of the matrix A that produces the maximum total number of bandpasses having the same given bandpass length B in all columns. The Multi- Bandpass problem includes different bandpass lengths Bj in each column j of the matrix A, where

j

= 1,2,…,n. In this paper, we propose an extended formulation for the Multi-Bandpass problem. A given Bj may not be always efficient bandpass lengths for the communication network. Therefore, it is important to find an optimal values of the bandpass lengths in the Multi-Bandpass problem. In this approach, the lengths in each destination are defined as z j and we present a model to find the optimal values of z j. Then, we calculate the approximate solution of this model using genetic algorithm for the problem instances which are presented in an online library.

According to its establishment and evolution process, this paper divided mutual trust among members of knowledge networks into 4 parts: tentative trust maintenance trust, continuity trust and swift trust. On this basis, we analyzed the evolutionary path of mutual trust from three aspects: category, degree and range. Then, the evolutionary process of mutual trust was divided into four stages. At last, combined with two angles of process and overall view, a model was built to illustrate the evolutionary process of mutual trust among members of knowledge networks.

With the widespread application of micro-blog in business, the microblogging interaction of enterprise-consumer has been receiving more and more attention. However, the existing research lack of a systematic study on interactive strategy, on the basis of theoretical combing, this paper explore the strategy of enterprise’s micro-blogging interaction from two categories of interactive content and interactive style. A content analysis was performed on enterprise’s micro-blogging (

n

= 685) from 14 well-known enterprises in China’s home appliance industry. The study found the application of interactive strategies exist significant differences on the micro-blogging interaction of enterprise-consumer. Compared with functional interactive strategy, there is a larger proportion of social interaction in the content of interaction, and proactive interactive strategy is far more reactive interaction in the style of interaction. The study further found that the effect of proactive interaction to be significantly larger than the effect of reactive interaction. Finally, the study gives some recommendations for household electrical appliance enterprise in micro-blogging marketing.

For the time–cost tradeoff problem, if the involved super large-scale CPM network is simplified, then any correlative algorithm which used to solve the problem is simplified too. According to the idea, firstly, property of free float and relation of free float and path length is analyzed, and some new conceptions and free float theorem are deduced; secondly, an algorithm of simplifying the super large-scale network in time–cost tradeoff problem is designed by using these conceptions and the theorem, and validity of the algorithm is proved; finally, application of the algorithm is discussed by illustration. The theoretic proof and illustration show that if the algorithm is used to simplify the time–cost tradeoff problem, any correlative algorithm which used to solve the problem could be greatly simplified.

The traction of innovative cluster in the regional economic development is gradually highlighted. In this paper, the forming mechanism of its innovative ability and the realization path would be discussed. Through the theoretical analysis of the literature, combining with the analysis of the practical issues in the operation of innovative cluster at home and abroad, the article suggests that this forming mechanism derives itself from various factors, such as knowledge spillover, entrepreneurs, government leadership, the stimulation of entrepreneurship, different stages of industry life cycle and so on. At the same time, this paper offers some successful experiences of the innovative clusters all over the world to explain realization path. The paper argues that the problems existing in the developing process are associated with the lack of forming mechanism. Finally, the preliminary countermeasures about overall planning, introducing the subject of cultivation and developing the middle cooperative organization are proposed.

The study of user download behavior and its influencing factors will contribute to a deep understanding of the application stores and provide some practical guide to the operation of application stores. Based the classic RFM model and the actual situation of the application stores, this paper develops the TDRFM model to describe the application stores’ user download behavior. We use the

K

-means clustering and Group Decision Making method based the behavioral indicators and obtains four user types: the high-value uses, general-value users, loss user. Then, we study the impact of the system upgrade and the product attributes to users’ download behavior by using the statistical analysis. The results show that the application store upgrade has no significant impact on the high-value users while have a significant effect on the general-value and potential-value users download behavior. The impact of application type, development type price, review and application size on users has been verified. This paper provides a method of studying user behavior in application stores.

With the rapid development of e-commerce, the transaction size online increased rapidly, so the e-commerce service quality and customer satisfaction become more and more important. How to increase service quality and improve customer satisfaction is becoming the research focus. In the paper, we construct an online customer satisfaction model which includes technology acceptance model (TAM) and quality-value-satisfaction (QVS). And design a questionnaire including 27 questions. Then investigate and collect empirical data through internet. Use method Structural Equation Model (SEM) to process data and analyze the reliability and verify the hypothesis. The results of the study demonstrate that security, privacy and positive online shopping experience have important implications to customer behavior online shopping in China.

Nonlinear differential equations and its systems are used to describe various processes in physics, biology, economics etc. There are a lot of methods to look for exact solutions of nonlinear differential equations: the inverse scattering transform, Hirota method, the Backlund transform, the truncated Painlev’e expansion. Here, we present a well known auxiliary equation method that produce new types of exact travelling wave solutions to nonlinear equations. In this paper, by means of symbolic computation, the new solutions of original auxiliary equation of first-order nonlinear ordinary differential equation with sixth-degree nonlinear term are presented to obtain novel exact solutions of the leading-order evolution equation which is the model of drop formation on a coated vertical fibre.

A firm develops a business strategy, chooses the structure and management processes, aligns IT, and ensures that employees are trained and their roles are well designed in traditional theories of how information technology applied [27]. This paper empirically investigates a fit between the strategy, organization’s structure, management processes, individual roles and skills, and IT, in order to achieve the strategy to gain a competitive advantage among Japanese enterprises by using the MIT90s framework [18]. 258 Japanese firm-level data collected have been analyzed using structural equation modeling. These results would contribute for achieving a strategic sit for the Japanese firms by showing effective tasks and environment to be focused.

The proportional 2-tuple linguistic model provides a tool to deal with linguistic term sets that are not uniformly and symmetrically distributed. This study further develops multi-attribute group decision making methods with linguistic assessments and linguistic weights, based on the proportional 2-tuple linguistic model. Firstly, this study defines some new operations in proportional 2-tuple linguistic model, including weighted average aggregation operator with linguistic weights, ordered weighted average operator with linguistic weights and the distance between proportional linguistic 2-tuples. Then, two multi-attribute group decision making methods are presented. They are the method based on the proportional 2-tuple linguistic aggregation operator, and technique for order preference by similarity to ideal solution (TOPSIS) with proportional 2-tuple linguistic information. Finally, an example for IT governance is given to illustrate the effectiveness of the proposed methods.

We-media which stands out among many network applications, has largely changed the form of information dissemination’s public risk management. Through such a personalized network platform of information and dissemination, users can release the words, pictures, audio, videos and other multimedia information by the WBE, mobile phone and other developing client components. At present, our country is undergoing a special period of economic transition and social transformation which caused fierce social changes. In this paper, based on the analysis of Wemedia technology characteristics, forms and features of dissemination, the author will further analyze present state and problems of information dissemination’s risk management in We-media era. And finally the author puts forward risk management measures of We-media information dissemination.

Firstly, analyzing enterprise incubator function and incubation process. Then, by taking the multi-attribute decision property into account, a new incubator selection model is proposed based on TOPSIS (technique for order preference by similarity to ideal solution) and information entropy. The feasibility and effectiveness of the proposed method is validated by the case.

With the advent of new media age, the tendency of individualization is more and more distinct. It is the reflection of society diversification and individualized needs in the field of media, the fruit of technological development and application in modern media, the representation of mass information and society informatization, and the outcome of dissemination media’s development in a certain phase. Especially the We-media forms such as Microblog, have put forward new issues to the management and control of information dissemination system, thus come up with suggestions that we should face up and follow the trend, set management target of harmonized development, establish distributed management model and a coordinated system in the computer network environment which is mainly under technological and legal management.

With the speedy development of information technology, database marketing has become a hot topic for both marketing practitioners and scholars, and customer targeting modeling is a top priority in database marketing. To overcome the limitations of the existing models, this study proposes a classifier ensemble model based on group method of data handling (GMDH) type neural network for customer targeting. It first utilizes GMDH-type neural network to select the key explanatory variables, trains a series of base classification models, and then conducts the classifier ensemble selection based on the forecasting results of the base models by GMDH-type neural network again to get the final ensemble model. The empirical analysis results show that the hit rate of the proposed model is better than that of some existing models, and it can bring more profits for the enterprise.

Considering the two characters of real estate: consumer attribute and investment attribute, the aggregate demand of real estate could be subdivided into consumer demand and investment demand. And in this paper, psychology expectation is quantified by gray prediction method, and then the real estate price model is established. Based on the theoretical model, using national quarterly data-from January 1999 to June 2011, we empirically analyze the effect of demand on housing price. The results demonstrate that investment demand can be used to explain housing price volatility better than consumer demand nowadays. Compared with the other factors, psychology expectation and down payment policy have much greater influence on housing price. In the end, some reasonable policy proposals on controlling price will be given on the stage.

This thesis, through a questionnaire research methods, explored repair effects of corporate social responsibility activities after the brand scandal, such as improving product quality, philanthropy and donation money or equipments to students in remote regions and environmental protection in order to repair brand trust and consumption intention. Authors found that CSR activities had positive integrated effects on renewal brand trust and consumption intention.

Technology progress is an important driving force for economic growth. Nowadays, the insufficiency of self-dependent innovation and the inefficiency of R&D staff have become two obstacles to China’s technological advancement. This study focuses on the role of psychological capital and originally discusses the impact of collective psychological capital on regional innovation performance. In this study, we firstly construct a theoretical framework to describe how psychological capital impacts regional innovations through human capital. Secondly, a proxy variable is used to measure the collective psychological capital on the regional level; then, using provincial-level panel data from year 1997 to 2010, we examine the relationship among human capital, psychological capital and innovation performance with spatial panel regression method. The following empirical results are obtained: (1) Regional innovation activities have positive spatial clustering effect across China. (2) The estimated coefficient of psychological capital is also positive in innovation regressions and the results are quite robust in both OLS and spatial estimations. (3) Human capital mediates the relationship between psychological capital and innovation performance.

This paper empirically analyzes the performance of 26 listed companies in press and publication industry from 2009 to 2011 by using CCR and BCC model of DEA. The result shows that the industry is growing stably, but the overall efficiency of the whole industry is descending which is composed of stable pure technical efficiency and descending scale efficiency. This paper also gives the policy suggestions that Chinese press and publication industry need to focus on the scale efficiency improvement so that the “big but weak” situation of the national listed companies can be fundamentally changed.

Twentyfirst century is a time that high-tech technology revolution promote human new civilization, and it was the era that human society comprehensively March to the accounting informatization. Accounting informatization technology research in China in the past has achieved fruitful results. In his paper, from the accounting informatization theory research, accounting informatization standard system construction and XBRL applications, accounting informatization technology and its application research, internal control and audit issues in the informatization environment, accounting informatization of personnel training and education, we review, combed the main achievements of the 10 years of accounting informatization of the annual meeting, aimed at further promoting accounting informatization workers of the theory and practice further research, expanding the influence of the annual meeting of accounting informatization, promoting the accounting informatization research to make more results.

With the continuous development of wrestling sports and the gradual improvement of wrestling athletes’ technical level, it is more and more obvious that psychological sport skills and coping style could influence on the result of competition and closely connected with the psychological skill and coping style of their own whether athletes can have excellent performance. However, in the practical study, it is rarely the related research on how psychological sport skills and coping style will affect their performance in regard to high-level wrestling athletes in Sichuan Province. The article makes a research on high-level wrestling athletes in Sichuan Province with the use of literature, questionnaire survey and mathematical method. The results showed that: (1) gender differences exist in the four dimensions of the collective spirit, anxiety, self-confidence, mental preparation in the sport psychology skills; no gender difference exist in attention and motivation; age differences exist in preparation of psychological skills and the collective spirit; sport psychological skill does not exist significant differences during the training period; sports grade differences exist in the collective spirit and self-confidence. (2) 4 dimensions of coping styles have no significant difference in gender; there was a significant difference during the training period in avoidant coping and centralized treatment of coping style; coping style in 4 dimensions no significant grade differences in movement. (3) there is a significant correlation between coping style and psychological sport skills, positive psychological sport skills contributes to the state self-confidence, so we should take positive coping style.

The occupational safety and health (OSH) risk management continues to be a key topic for worldwide industries, especially in the construction industry. Most of prior technologies were used to directly but passively impact safe working engineering in a technical way. However, technologies may also indirectly but actively influence workers’ safe performance in a managerial way. This research aimed to examine this severe safety problem in the construction industry, and taking which as an example, prevention measures for OSH risk mitigation are discussed. The analyses find that large portion of the OSH fatalities and injuries are related to workers’ unsafe acts and lack of awareness on the OSH hazards. The lack of effectiveness was ascribed the OSH training content as well as the one-off nature of construction industry. An innovative approach is proposed, which integrates the safety culture into the OSH risk mitigation via the application of cutting-edge information technologies. Particularly, a virtual reality-based pilot application which links the safety culture and risk mitigation is demonstrated.

This paper aims to construct the theoretical framework of describing oriented information for Identity-oriented System in General Hospital, theoretically define and describe the information of spatial information nodes and channel routes of hospital departments to construct information structure model. With principles of cognitive psychology, theoretically defining and analyzing the cognitive process characteristics of oriented information clues for Identity-oriented System in General Hospital, constructing its information structure model of spatial information nodes and channel routes in Identity-oriented System. Through analyzing cognitive process of the path-finding lost and failure mechanism, investigating the effectiveness and efficiency of information transfer of Identity-oriented System in General Hospital, studying scientific set method that fit with the Identity-oriented System in General Hospital. From the external personnel’s point of view, the results of this paper improve information transfer efficiency of Identity-oriented System in General Hospital and accurately define and set Identity-oriented System in General Hospital.

It is a long-term strategic task for Sichuan province to vigorously develop small and medium enterprises. This paper uses the monitoring data of small and medium enterprises in Sichuan province in 2012 to establish a system model consisted of two models by employing support vector machine and group method of data handling. Research results show that the pre-warning level of the operating status of each month which obtained from the system model is almost the same with the official information, so we can use this model to effective early warn the operating status about small and medium-sized enterprises in Sichuan province. Meanwhile, the system model can find key factors which influence and restrict the healthy development of small and medium-sized enterprises in Sichuan province; there are some positive effects to deal with the survival and development crisis which small and medium-sized enterprises in Sichuan province are going through and to develop accurate support policies.

In this paper, we use model and analysis to study the IPO optimal timing based on a real option framework. We assume IPO will change the growth mode of cash flow and relax the original assumption in previous mode that the company’s growth rate of cash flow will maintain constant after IPO. Analysis showed that the greater the growth potential of the listing companies, the earlier they got listed; when listing costs is larger, the entrepreneurs will obviously delay IPO; The more optimistic of the company, the sooner the company go public; the more optimistic the corporate decision makers look upon the company, the later the IPO take place; the higher uncertainty of future earnings, the later company will be list. The concluding provided a good reference for the regulator of capital market who can makes effective safeguard for stability of the market and reasonable listing standards for listed companies, and for entrepreneurs to form the correct IPO concept as well as make reasonable IPO decision.

In this study, we attempted to examine the relationship between fulfilling degree of employee’s work values and organizational citizenship behaviors (OCBs). Many scholars had discussed the influence of employee’s work values on their OCBs from the perspective of individual. However, staff’s behaviors are affected not only by individual factors but also by organizational factors. Therefore we put forward the measurement indicator of “fulfilling degree of work values” in order to probe into the relationship of work values and organizational citizenship behaviors more comprehensively and precisely. In the present research, 529 pairs of employees and their direct supervisors from 36 enterprises were surveyed with the Work Values Inventory and the Chinese Organizational Citizenship Scale. It should be pointed out that items of the fulfilling degree of work values were added to the Work Values Inventory so as to measure the fulfilling extent of the employee’s work values. And the data were analyzed at the individual level using correlation analysis and stepwise regression analysis. The results showed that (1) both the fulfilling degree of capability-developing dimension and status-independence dimension included in work values are significantly related to the five dimension of OCB; (2) status independence dimension of work values has a significant positive impact on the factors of corporation-identity, altruism, individual-initiative and resource-protecting included in OCB. The degree of correlation between work values and OCB declined when using the indicator of “fulfilling degree of work values” compared with the results of previous studies. The results of this study have important implications on research and management.

This paper empirically examines the relationships between the efficiency of the board, the efficiency of the board under the influence of ultimate ownership structure and the quality of information disclosure based on the data consisting of Chinese listed companies from Shenzhen Stock exchange from 2004 to 2007. The results from our sample show that, (1) The duality of board leadership and the number of board meetings have significantly negative impact on the quality of information disclosure; the board size has significantly positive impact on the quality of information disclosure; the board independence has not significantly impact on the quality of information disclosure. (2) The ultimate ownership structure (the ultimate nature of property rights, cash flow rights, the separation of cash flow rights and control rights) has significantly impact on the relationship between the board efficiency and the quality of the information disclosure. So we may prefect corporate governance and improve the quality of information disclosure by the conclusion of this paper.

Journal evaluation has blossomed over the past four decades. Not only the bibliometric indicators provided by the Journal Citation Reports (JCR), but alternatives such as Google Scholar, Scopus and many other recently-introduced indicators are becoming popular. However, high correlations between journal evaluation indicators indicate that the development of new variants of the indicators has resulted in hardly any additional empirical contribution, so the application of existing indicators is a more promising direction for future research. This paper attempts to show how to evaluate and classify journals using current journal evaluation indicators by various multivariate statistical analysis methods. Data were collected from all journals in the Operations Research and Management Science category of JCR [

10

] and SCImago Journal and Country Rank (scimagojr.com). Analysis in other scholarly fields can be conducted using the same method but with different category data in JCR and SCImago Journal and Country Rank.

Workers’ remittances have become the second foremost source of monetary flows to developing countries. Pakistan has experienced fluctuations in economic indicators in the past that hindered the flow of workers’ remittances in the country. According to World Bank data, Pakistan has become fifth largest remittances receiving developing country in 2011. This paper explores the economic determinants of workers’ remittances of Pakistan using annual data spanning from 1990 to 2010. Research aims to analyze the extent to which multi variables impacts the flow of workers’ remittances in Pakistan. The research is causal and explanatory in nature and follows quantitative research design. This study identifies empirically verified economic determinants of workers’ remittances of Pakistan by using multiple regression. The quantitative substantiation of multiple regression analysis shows that FDI, exchange rate and GDP appeared to be important determinants of workers’ remittances, other determinants of workers’ remittances are inflation rate and interest rate. In particular, workers’ remittances increased with the increase in GDP and FDI. Contrasting to this, rise in interest rate and fluctuation in inflation level lowers the inflows of workers’ remittances in Pakistan, as greater insecurity in relation to price changes in future period and high inflation reduces the return on funds remitted.

This paper studies the fuzzy time-cost-quality-environment trade-off problem of construction project and establishes a decision making model with multiple modes under resource-constrained environment. The objective functions are to minimize the total project time, total resource cost, quality defect of all activities, and the environment impact. Furthermore, a fuzzy based adaptive-hybrid genetic algorithm is developed for finding feasible solutions. More specifically, our approach treats the uncertainty by using fuzzy expected value operator or fuzzy simulation. Finally, Jinping-II hydroelectric project was used as a practical example to demonstrate the practicality and efficiency of the method. Results and sensitivity analysis are presented to highlight the performances of our optimization method, which is very effective and efficient as compared with other algorithms.

In this paper, we provide an explicit formula for American option pricing on a dividend-paying equity when the parameters in Black–Scholes equation are time dependent. By using a general transformation, the option value is shown as an explicit formula which is based on the value of American option with constant parameters. Finally, the optimal boundary of American option is given.

This paper divides special equipment safety evaluation factors into indirect factors (environment and management) and direct factors (human and equipment) combined with fishbone diagram based on the factors’ features of diversity, fuzziness and interference effects between layers. AHP-FCE method and DEMATEL method are adopted to determine and modify factor weights to build a special equipment safety evaluation system. Finally, a practical case is proposed to examine the effectiveness of this system which is expected to provide a practical, objective and reasonable approach for the improvement of special equipment safety evaluation.

It is common to have fluctuations of development and growth level in the process of economic development. Thus it is quite important to found a reasonable macro economic leading indicators to analyze the macro economy. First, we analyzed the composition of the proportion of GDP and chose the composite index of over scaled industry increasing value and total retail sales of social consumer goods which make up great amount of GDP as reference index. Then, we use K–L information content and time difference correlation coefficient to analyze the macro economic indicators, Through the method we chose the indicators which have the leading feature. Finally, by the help of composite index in the method of economic sentiment index, we had the leading indicators. The empirical analysis shows that the leading indicators for Chengdu can predict the trend of the macro economy in Chengdu in a way, so it can help the government to make decisions in advance.

The outbreak of the financial crisis exposures many defects of financial governance that are caused by the defects of the ownership structure of the listed companies of in China. Ownership structure is the foundation of financial governance; its rationality has a decisive impact on the efficiency of financial governance of the company. This paper analyses the financial governance efficiency in the ownership structure in theory and demonstration. It analyzes the status of financial governance effect in ownership structure of China’s listed companies, and finally putting forward suggestions and countermeasures which directly optimize the ownership structure and the financial governance efficiency in China’s listed companies.

The risk measure for enterprise technology innovation is a hotspot problem and the forward position of enterprise management, is a much subject overlapping edge research program, it is very difficult to research this problem. In this paper, based on Rough set theory and ANN method, Rough-ANN model for dynamic risk measure of enterprise technological innovation is established. It takes the advantages of the informational reduction principle of rough set theories and ANN predominance which has stronger concurrent processing, approach advantage and sort study capability. Thus the model may simulate the mankind’s abstracting logic thinking and image intuitive thought to measure enterprise technological innovation risk. This model can identify the main attributes of technological innovation risk, reduce the information accumulate cost of risk measure, improve the efficiency of risk measure, make the sophisticated problem of technological innovation risk measure simplified. Therefore, this model has better practice operability. Theoretical analysis and experimental results show the feasibility and validity of the model. The research work supplies a new way for dynamic risk measure for technological innovation.

There are many successful researches about alliance performance; however most of them are silent about alliance development processes. In this article we aim to examine the relationship between partner selecting, partnership and alliance performance in the alliance development process. We present a theoretical model for forecasting alliance performance through the determinations of selecting partner and partnership, using the alliance conditions as intermediate variable. We submit that alliance performance is strongly influenced by factors of partner selecting and partnership. The determinations of partner selecting involve strategy fit, capability fit and resource fit; and the factors of partnership are commitment, trust, communication, and resolutions of inter partner conflicts. We discuss the various linkages between the factors and alliance performance, and develop a number of propositions; we also use a case study to test them. Our research facilitates empirical testing of our framework, and indicates implications for future research and managerial practice.

Many decision making problems such as personnel promotion and investment selection in organizations are often dealt by multiple experts in uncertain situation. The aim of this paper is to develop an approach to solve group decision making problems where the preference information provided by experts is in the form of interval multiplicative preference relations, interval fuzzy preference relations and interval linguistic preference relations. Firstly, taking interval linguistic preference relation as base representation element, non-homogenous information is unified by transformation functions. Then, an optimization model is established to obtain the maximum consensus level among the group by searching the weights of the experts. Next, the aggregation process and the selection process are carried out to find the best alternative(s). The entire procedure of the proposed approach is given. Finally, an example of the manager selection for a company is provided to show the effectiveness of the proposed approach.

This paper builds an input-output assessment index system of creative industry development efficiency according to the characteristics of creative industry. Taking use of the C

2

R model, the BC

2

model and super-efficiency DEA model, taking the creative industry in China’s 26 major cities for example, we implement the DEA model quantitative empirical assessment to China creative industry’s reality development efficiency. The assessment result indicates the industrial characteristics of China creative industry development efficiency as descending stepwise development from coastal areas to inland, while the internal development is extremely uneven. According to the overall efficiency value, this paper divides China’s 26 major cities into three echelons from high to low, and points out that it is necessary to build regional different optimization ideas and specific optimization path for the future development of China creative industry.

Taking the traditional theory of corporate governance as a logical starting point, this paper builds and interprets the theoretical models of the corporate contingent governance, on the basis of the results of some scholars’ researches on the corporate contingent governance theories. Then under this theoretical framework, the optimal bankruptcy system under the conditions of the perfect market economy and the sub-optimal bankruptcy system under the conditions of imperfect market economy are conceptualized, built and designed.

The study of customer identification has the extremely vital significance to promote the core competitiveness of the enterprise. This paper focus on the problem of feature selection in customer identification. We try to solve the issue of feature selection under class imbalance and a hybrid method is proposed. We improve the data cleaning technology Tomek Links and get a new model called I-Tomlinks. Based on the using of I-Tomlinks for data preprocessing, we combine the group method of data handling (GMDH) and transfer learning together to construct a new feature selection model to solve the problem of class imbalance. The experiments show that the new method gives better predictive performance that other methods used as benchmarks. The new model provides a new tool for customer identification.

Performance-based logistics (PBL) is becoming a dominant support strategy for military equipment systems. This paper sets up a closed-loop support system which consisted of a spare parts warehouse and a repair workshop. Firstly, we set up the transition balance equations for the inventory level state. Then, the steady-state probability distribution of spare part inventory level is derived. Then, we conduct several experiments to investigate sensitivities of system’s parameters. Our research will help to improving the support level for our army.

This paper discusses a multistage dynamic transportation allocation problem (DTAP) in a earth-rock transportation system under fuzzy environment, which is a multi-objective optimization process for minimizing total cost, duration and waste. Uncertain parameters are characterized as triangular fuzzy variables and fuzzy expected value concept is introduced to deal with the uncertainty. Dynamic programming particle swarm optimization algorithm (DP-based PSO) is developed to solve the above problem. Finally, the earth and rockfill dam construction in Pubugou Hydropower is used as a practical application example to demonstrate the practical application value of the optimization method, and the result is presented to highlight the newly developed innovation of the model and optimization algorithm.

At present, there are many research about

Z

-score model that mainly aimed at the financial warning of listed companies at home and abroad, but the research rarely involve the different categories of listed companies. This paper, using the actual data of listed companies in “non-metallic mineral products” industry and five financial indexes of

Z

-score, establish

Z

-score model with the needed indicators and determine the warning threshold. The coefficient of

Z

-score model is corrected through multiple linear regression model. The model is applicable to “non-metallic mineral products” industry in China. Evidence shows that the model has higher accuracy than the original model for listed company of “non-metallic mineral products” industry in China, and it provides a safe and reliable financial warning standard for “non-metallic mineral products” industry.

This paper collected the number of web pages to build the GMDH autoregressive model in order to study the ‘Shuanghui clenbuterol’ scandal spillover to competing brands ‘Yurun’. The model can reflect the speed of scandal spillover through the network and how it changed accurately by monitoring the different time periods brands scandal overflow speed, and it can predict scandals network spillovers, compared with actual spillovers. The experimental results showed that GMDH has good value of prediction. The model has a higher value in prediction, can help enterprises to effectively monitor brand scandal overflow, and respond it with targeted.

All the serious challenges Pakistan’s GDP is facing today like very wide budget and trade deficits, galloping inflation, increase in the level of poverty, power outages, water shortages, closure of industries, food insecurity, etc., has diverted our attention from realizing the very serious challenge that we have overcome. Since the 1950s we had a system in this country where the Ministry of Finance and all the economic ministries were headed by World Bank and IMF officials of Pakistan origin. People feel vindicated to see representatives of the people occupying ministries of finance and economic affairs. Monopolies and cartels have played a major role in restricting output and escalating prices in Pakistan. Most of the members of cartels are ministers and other influential. The Government has to devise both a short term as well a long term policy to deal with the situation. In the short run the Government should scrutinize the imports of the country and temporarily halt the import of nonessential consumer goods, luxuries, etc. The research data has been collected which consists of a survey of 42 respondents, among whom the questionnaires have been distributed. The data is presented in tabulated and graphical form. Through this research a vast segment of respondents was analyzed, while dividing them into several age groups. The questionnaire has enabled the researcher to re-main objective, detached, value-free and non-influential on the study. The results have been analyzed through several tools to be able to give recommendations and draw conclusions.

Competition in the market characterized by the pricing mechanism has become an important development trend of the market in high-tech products. This paper took two oligarch Hi-Tech enterprises as the study objects, and constructed game model to analyzed the criterion of price-fixing and strategy on the different conditions. On this basis, this paper researched the policy making and improvement for our government to stability the products price in the Hi-Tech products market.

Development of manufacturing industry requires effective and efficient industrial support systems. The paper argues that support systems of manufacturing industry development consist of sub-system of support and sub-system of control, which each sub-system comprises four basic elements. The paper introduces matching coefficient to represent the matching relation. Matching coefficient refers to the proportion of separate element levels of support system in leading regions with reference value against the industrial added value. The coefficient can be employed to analyze the contribution of the support system to industrial development and forecast the conditions required for the system to meet future demand. In the paper, Guangxi is taken as an example to demonstrate the calculation of matching coefficient.

A new set of real estate control policies have been carrying out to inhibit soaring house price and deal volume is going down rapidly. Not only customer and real estate firms are all care about the house price target, but also it is an important index for government to adjust their policies. Taking into account that customer is the weaker side comparing with real estate firms, we can conclude that customer will buy a house on the price equaling to their expected value for the house once the control policies have all done. Then we will give a new interpretation to Myerson and Satterthwaite’s model in order to do quantitative analysis on house price. Finally we will know that government should only take some care not to make the lower limit of expected value range below the upper limit of costs range, otherwise house price must follow the analytic result to maximize society remain when deal volume reach appropriate level.

There are mainly 3 types of joint purchasing modes of SMEs: joint purchasing mode constructed by SMEs spontaneously, joint purchasing mode constructed by industry association, and joint purchasing mode constructed by the third party. How to choose joint purchasing mode is critical for SMEs to implement joint purchasing. Based on theoretical study and practical survey, it is found in the paper that when SMEs choose or establish joint purchasing organization, 15 evaluation indicators of 4 dimensions including operation management capacity, technical capacity, market influence capacity, and service capacity are used for the evaluation.

Customer returns policies are common after sale services offered by a retailer in order to boost sales, improve customer satisfaction and diminish customer fit uncertainty. With such a service, the retailer accepts the return of a product after the sale has occurred, if it does not satisfy the customer’s expectations. This paper studies a retailer’s return policy problem when the market consists of loss-averse customers who are more sensitive to losses than gains. We examine the situation in which a seller makes price and quantity decisions and also designs an appropriate returns policy in order to maximize his profit. The seller may offer either a full-refund or a partial-refund policy if he decides to accept returns or chooses not to accept any returns. With the full-refund policy, the seller reimburses the consumer the full price of the product if it does not fit the customer’s preferences. With a partial-refund policy, the seller offers a refund which is strictly less than the purchase price. We assume that customers are strategic customers aiming to maximize her utility of the product. Under this setting, this study analyzes the impact of loss aversion on the seller’s price and order quantity decisions.

Since the late 1990s, with the international community paying more and more attention to Corporate Social Responsibility (CSR), academic circles keep a watchful eye on the influence of CSR on consumers’ attitude and behavior. Previous studies show there is complex relationship between CSR and Consumers’ Purchase Intention. Before 2001, scholars found that CSR influenced Consumers’ Purchase Intention indirectly. In 2001, they proved that the performance levels of CSR had a direct impact on Consumers’ Purchase Intention. But this kind of direct influence was limited by some factors such as the degrees that consumers trusted on CSR and corporate ability as well as the ones that the consumers supported CSR behavior. This paper analyzed and summarized the concepts of CSR, indirect and direct influences, influencing factors along with influencing mechanism, then pointed out the limitations and the future directions of the research.

In the environment of technology paradigm shift, it’s necessary for company to optimize product symbiotic interface by integrating the value of modules. The important mechanism of achieving product symbiotic interface optimization is to control the best ratio combinations of elements investment. Also, products symbiotic interface optimal path can be obtained by the establishment of optimal control model.

Effective inventory planing is instrumental in reducing costs and leadtime. In this paper, a multi-objective inventory planing model is proposed with imprecise demand, lead time and inventory costs. An inventory policy is proposed to minimize the costs using man–machine interaction. The fuzzy parameters of leadtime, inventory costs and demand are expressed through linear non-linear membership functions. The fuzzy parameters are first transformed into corresponding interval numbers and then following the interval mathematics, objective function of average cost is changed into respective multi-objective functions. An interactive fuzzy decision making method is used to minimize these functions and solve for Paretooptimum solutions. The proposed model is illustrated numerically and the results are presented in tabular forms.

Considering the features of complementary products, this paper establishesan optimal model group of complementary products involved experience samplingand bundling sampling. The simulation results indicate that the both promotionways can accelerate the diffusion of complementary products, but the effectof experiential sampling is better than that of the bundling sampling, the optimalpromotion way is combining the two methods. But for the incomplete complementaryproducts, the best promotion way is just introducing the experiential sampling.The firm’s profit drops as the price of bundle sampling increases, but the experientialsampling level remains unchanged. The experiential sampling level and thebundling sampling level are anti-dependence.

When the process noises are finite-time correlated in multi-sensor system for engineering monitoring and management, a systematic way to handle the corresponding distributed estimation fusion problem is proposed in this paper. A distributed fusion algorithm based on Kalman filtering is developed, in which the traditional state estimation method to deal with correlated noises by augmenting the state vector of systems is avoided so as not to increase the dimension of state vector. The proposed distributed estimation fusion algorithm guarantees the optimality in the sense of being equivalent to the optimal centralized estimation fusion. The optimality of the new distributed fusion algorithm in multiple-step correlated process noises cases is also analyzed. Comparisons with the existing distributed estimation fusion algorithms are given to demonstrate the performance of the new algorithm.

This paper develops an optimization model group for the diffusion effects of free sampling products presented to complementary products under dynamic changes in potential market based on the characteristics of the complementary product. The simulation analysis shows that sampling has a positive role in promoting the diffusion of complementary product but it can not affect the final cumulative adopters of the complementary product. The sampling effect of dynamic changes in potential market is superior to the static potential market’s. The cumulative adopters of the complementary product decreases with the increase of the changing rate of the potential market, and the NPV increases firstly and then decreases gradually with the increasing of the changing rate of the amount potential market. In the case of limited production capacity of sampling products, both main product and complementary product appear continuous sampling. Finally, the influencial factors between main products and complementary products have a positive role in promoting the product diffusion.

Pakistan is one of the most important cotton producing and consuming country in the World. The present study purpose is to explore the important factors affecting cotton production in Pakistan. A sample of cotton growing respondents was randomly selected from different villages of Punjab province. Some production function was employed to assess the effects of education, land fertilization, weather, land preparation, seed, irrigation, etc. On the productivity of cotton. Education, plant protection measures, fertilizer and land preparation were contributing towards higher cotton yield on the sampled respondents farms. So, there is a great need to educate the farmers on priority basis for adopting recommended practices. The extension staff can play a highly positive role in this regard. At the end, a detailed discussion is proposed to show the efficiency of the proposed model.

This paper proposes a bilevel optimization model with fuzzy random coefficients to tackle an inventory control problem for the stone industry with the aim of minimizing the inventory cost and the cost of quarrying and processing and ensuring meet the requirements of order. On the upper level, the goal of inventory department is to minimize the cost and inventory space at the same time. On the lower level, the quarrying management’s aim is to minimize the cost of quarrying and processing and ensuring meet the requirements of order. A compromised point-based GA is proposed to solve the bi-level programming model with fuzzy random coefficients. Finally, a case study is presented to demonstrate the practicality and efficiency of the model.