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In today's competitive environment, having a customer oriented approach is inevitable for organizations. At this point, in order to achieve customer satisfaction, customer relationship management (CRM) targets to provide products and services which meet customer expectation. Data which is collected about customers is an important source to determine their needs. Therefore, analysis is made to determine...
Patent data has been used for generating patent-based indicators for tracking the technology development of high-tech companies. In this paper, we further show the promises of exploiting patent data for the analysis and prospecting of high-tech companies in the stock market. Specifically, we aim at investigating the relationship between the patent activities of high-tech companies and the dynamics...
Process mining is a modern family of techniques applied to datasets generated from business processes run in organizations, in order to improve and obtain useful insights and performance measurements on the processes themselves (with clear societal and economical benefits). While these techniques are very promising in understanding business processes, their complete and efficient implementation inside...
While risk regulations and compliance requirements grow, the capacity of governmental controls only shrinks in many countries. Automation provides a partial solution to this problem, but more is expected from new modes of supervision. The reliability of the provided data becomes essential then. Reliability can be supported by auditing services. At the same time, the advent of Smart Computing creates...
In this paper, we propose a method that extracts information from sequences of financial ratios and investigate the usefulness of this information for bankruptcy prediction, which constitutes an important class of financial services. We use the annual financial reports available from an external financial information services provider to extract predictors based on the Markov for Discrimination (MFD)...
We describe a framework for using analytics to proactively tackle voluntary attrition of employees. This is especially important in organizations with large services arms where unplanned departures of key employees can lead to big losses by way of lost productivity, delayed or missed deadlines, and hiring costs of replacements. By proactively identifying top talent at a high risk of voluntarily leaving,...
In the context of financial storm, financial crisis early warning has become an important object of research in the field of corporate financial management. This paper collected the data from China Stock Market Trading Database (CSMAR) and sorted out the financial indices of listed companies. We first used factor analysis to select variables and extract common factors, and then established the financial...
This paper discusses the second-order mining of the results of data mining. There is still gap between the knowledge which can direct the operation of company and the knowledge got from data mining. We take the knowledge from data mining as primary knowledge and the knowledge from second-order data mining as intelligent knowledge. We discuss the importance of intelligent knowledge and the way to find...
When a telemarketing staff or a seat calls, whether the customer will answer the phone is under uncertainty. This is a common risk faced by telemarketing companies: holding the telephone too long will bring a big lose to the company, while waiting too short won't be beneficial also. In this paper, we want to solve the problem and propose the definition optimal holding time, and then we conduct data...
This paper use Microsoft SQL Server 2005 data mining tools and three methods of neural networks, decision trees and logistic regression to establish the financial crisis early-warning model of listed companies. The conclusion is that the three kinds of methods have good results and the prediction accuracy rate are 80% or more. The accuracy of the decision tree algorithm model is higher than others.
To model market dynamics is a challenge that has attracted the interest of practitioners and researchers alike. This problem has been addressed from the perspective of Game Theory, in models that explicitly include profit-maximization schemes for the companies, and also from the point of view of Data Mining, with models that consider multivariate functions to model customer demands and related phenomena...
Based on the present analytical method of Econometrics, this article conducts an empirical research on the co-movement of stock price of gold mine enterprises and the international gold price. By analyzing the daily datum from January 2th 2004 to October 20th 2009, the article concludes that there is a relative high correlation between the stock price of gold mine enterprises and the international...
An effect and efficient response to the complaints from customer is an essential indicator of a service-oriented company's performance, especially for a high-end restaurant chain group. Complaints reflect the needs for improvement for a restaurant, such as food taste, quality and quantity, speed of services, price, service attitude, decoration and environment factor, and sanitary factor. Customers...
In late of 1980s, when "customer-oriented" enterprises worked in competitive markets, a new paradigm entered in customer relationship management (CRM) scope that called customer lifetime value (CLV). CLV is the present value of all future profits for firms generated from a customer. CLV can be measured in different ways. According to recent researches, most of the proposed models are mathematical...
This paper applies DEA model to a sample of 58 power plate listed companies in the securities market in China in 2008, with a view to identifying the financial risk companies and non-financial risk companies, instead of using ST in the past. Then, after comparing logit regression model and neural network LVQ in predicting the company financial risks, the conclusion was drawn that neural network LVQ...
This paper aims to provide a platform for assessing the maturity of a technology, based on web content mining. This approach provides benefits to decision makers that must face the tradeoff between an IT solution's development stage and its potential benefits to the organization. Also, the model presented in this paper can form a basis for upgrade decisions of existing IT infrastructure.
The model of Open Innovation is the best choice to the firms that can not afford research and development (R&D) costs but intent continues playing the innovation game. This model offers to any firm the companies spread worldwide and in all research fields as possible partners in R&D. However, the possible partnership can not be restricted in the manager's know-who. The patent documents can...
Based on the TAM model, the objectives of this study are to explore organizational roles' differences in e-learning acceptance. A survey taken from 10 financial companies which had implemented e-learning system shows that managers perceived usefulness in e-learning are stronger than perceived ease of use and employee perceived usefulness and ease of use are stronger than managers. The perceived usefulness...
Along with the deepening of the state-owned business remanufacture, more and more state-owned businesses have implemented the reform of the stockholder's rights multiplication. The whole employee stock ownership as one form of the stockholder's rights multiplication is also being applied widely. In the whole employee stock ownership enterprise, the factors such as the contradictions of staff's dual...
Agility is the inevitable trend of supply chain and management. Agile supply chain forces the enterprise to adapt to the unpredictable market demand, takes the fast restructuring of dynamic alliance as the basic point, promotes the cooperation and the production mode between enterprises, and enhances enterprise's integrated management and economic efficiency. As a key component of the supply chain...
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