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With the current financial scandals and European debt crisis, corporate financial crisis prediction has become an essential task in the fields of financial and risk management. Numerous pre-warning mechanisms based on statistical or artificial intelligence theories have been introduced in the literature, yet no current pre-warning model presents the best performance under all measurements. With significant...
The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. The Enhydra Shark from the existing WfMS shows the process records on the web client by the allocated activities during the designing process of the process log for the sake of the process monitoring....
University-Industry Technology Transfer (UITT) is the transfer of innovations or research results from a university to the industrial and commercial marketplace. UITT can be a source of financial gain for both universities and industries. To promote and enhance the success of a UITT programme, the management team needs to understand the necessary resources and managing operations required for successful...
The paper analyzes the channel competition decision under the channel structure with two symmetric manufacturers and one retailer. We reach some findings: Store brand will result in the decline of national brand wholesale price and retailing price. Store brand introduction will result in the decline of national brand profit, and the decline of imitated national brand profit is evident when store brand...
Nowadays a Website for e-Commerce has given the traditional companies much more opportunities in contacting customers more easily, implementing business to the new market, e-Commerce, increasing the profit, and gaining competitiveness. Even though lots of studies have given efforts to examine Website quality factors affecting e-Commerce success and measuring it, there is a lack of scarcity of models...
What factors will affect the consumer's purchase decision-making is a very complex issue, it has also become a consumer behavior research focus. In this paper, the consumer online shopping from the reality of the technology acceptance model based on online consumer purchase decision-making model designed to enrich the content of this field of theoretical and practical development of e-commerce market...
In today's global and ecological business environment, supplier selection has increasingly been regarded as one of the most important strategies of eco enterprises to obtain competitive advantage. This paper is aimed to present a model to evaluate the performance of buyer-supplier relationship between the eco enterprises and its supplier by applying the analytic network process. Firstly, the analysis...
Research on innovation networks has increasingly considered their internationalization as a natural later stage in their evolution, necessitated by augmented competition and acceleration of technology cycles. A complex dynamic ensues in such later stages as firms and other actors in the innovation network begin to pursue their own interest in the innovation space, as it grows from local to global...
Across different industries, we observe the emergence of industry standard-setting organizations (SSO) that focus on the creation of industry-specific process standards. Firms adopt a strategy of co-opetition, the combination of cooperation and competition, during standards development. We propose that a firm's co-opetition strategy is revealed to some extent by when it elects to participate in an...
A novel and generic system-dynamic-model is proposed, which analyzes port operation system from perspectives of time, quality and profit. First, by studying the internal structure and operation mechanism of port operation system, a sophisticated port operation system is defined and divided into three subsystems: time, quality and profit. Later a system-dynamic-model including three submodels is built...
One of the major concepts in business analytics is to identify the anomalies over time, also called as trend analysis. This can be easily done in pivot tables by using time as one of the dimensions, usually across columns. However, the trending information itself is insufficient to make any quick and insightful observations. Ranking the time series to identify the similar units of information can...
The rapid development of the Internet has brought an opportunity for the development for enterprises. Web mining in the status of e-commerce Websites have became more and more important. In the e-commerce, the data mining is helpful of the discovery to trade development tendency, of the correct decision-making made by the enterprise. This article mainly summarizes the present electronic commerce's...
This paper, based on balanced score card (BSC), goes deep into the four levels of financial, customer, internal business processes, and learning and growth; thoroughly and systematically analyses various factors that influence the development of apparel industry clusters, then comes up with the evaluation system. On such basis, it makes use of analytical hierarchy process (AHP) and takes Ningbo clothing...
The ability to have an insight into customer "values and action" is the foundation for enhancing managerial decision-making effectiveness and customer relationship. From the perspective of customer value, this paper proposes the customer "value-action" insight analysis model based on data mining technology. The assessment of customer value, subdivision and cluster of the customers,...
One of the most difficult problems that humanity currently faces is the sustainable development of our society, i.e. how to meet the needs of the present without compromising the ability of future generations to meet their own needs. Solving this challenge requires a multidisciplinary approach where researchers with different backgrounds combine their efforts. As software engineers, we can contribute...
Enterprise architecture (EA) as a discipline with numerous and enterprise-wide models, can support decision making on several enterprise-wide issues. In order to provide such a capability, enterprise architecture models should be amenable to analysis of various utilities and quality attributes. This paper provides a method towards enterprise architecture analysis. This approach is based on analytical...
This article has used data mining techniques and fuzzy comprehensive evaluation model to analyze and deal with a large number of complex data and information of programme management (PgM), and founds that valuable knowledge. When analyzing and making programme selection, the author establishes the fuzzy comprehensive evaluation model and AHP(the analytic hierarchy process), calculates on comparative...
In order to, proliferate capabilities of information systems as a managerial leverage and a means of decision making, organizations need the support of software, hardware and humanware infrastructures. Without such support, implementation efforts may adversely suffer from excessive development costs, delays or may even fail before completion. Hence, readiness assessment studies and exploration of...
The risk of an enterprisepsilas optimum decision is one of the most important contents of the enterprise's risk decision. However, the most effective factor that may influence its optimum stock decision is the risk produced by the market practical demand. According to the micro-economy principal on market demand, connecting with methods of risk analysis, this paper tends to set up a risk index system...
This paper presents a thorough case study and analysis aiming at studying operational competitiveness of Chinese high-tech international manufacturing company (CHTIMC). In this paper, some models are applied: (1)analytic hierarchy process (AHP) method is used to analyze questionnaires, which are got from the case CHTIMC, of multi-focused manufacturing strategies; (2)the analytical models, which can...
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