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Information technology risk prediction markets have potential to identify the probabilities of risk events that are relevant to information systems. Prediction markets provide a bidding mechanism that allows large number of participants to compete for forming the most accurate predictions for future events. The accuracy of forecasts regarding the frequency, nature, and the form of cyber attacks is...
Functional size measures have been gaining increasing acceptance not only for project estimation and productivity comparisons but also for the evaluation of the company assets concerning with operating applications. However, functional sizing operating applications can represent a complex task (they could be developed in past projects, in some cases by others, with long standing technologies, and...
Since their early development, genetic programming-based algorithms have been showing to be successful at challenging problems, attaining several human-competitive results and other awards. This paper will present another achievement of such algorithms by describing how our team has won an international machine-learning competition. We have solved, by means of grammar-based genetic programming techniques,...
Violations of listed companies to disclose accounting information will mislead the ordinary investors seriously and bring huge losses to investors. Therefore, it is particularly necessary to analyze and identify the violations of listed companies based on scientific and effective methods to avoid investment risks in advance. In this paper, we firstly use t-statistic to select eight useful and characteristic...
Identifying review manipulation has become one of hot research issues in e-commerce because more and more customers make their purchase decisions based on some personal comments from virtual communities and e-business websites. Customers consider these personal reviews are more reliable than the existing internet advertisements. Consequently, some enterprises attempt to create fake personal comments...
A food-processing-and-distribution company typically stores products in a warehouse before shipping them to customers. Inventory management is therefore important to the food-processing-and-distribution industry because of the large amount of products typically stored. Large amounts of stored products increase inventory cost and management cost and can reduce warehouse efficiency. This study is important...
Research on the temporary staffing industry discusses different topics ranging from workplace safety to the internationalization of temporary labor. However, there is a lack of data mining studies concerning this topic. This paper meets this void and uses a financial dataset as input for the estimated models. Bagged decision trees were utilized to cope with the high dimensionality. Two bagged decision...
The USA is witnessing a heavy debate about the influence of political campaign contributions and votes cast on the floor of the United States Congress. We contribute quantitative arguments to this predominantly qualitative discussion by analyzing a dataset of political campaign contributions. We validate that the campaign donations of politicians are mainly influenced by his or her political power...
The purpose of this paper is to comprehensively understand the important level of each factor and objectively select the key factors that influence the adoption of Radio Frequency Identification (RFID) by the distribution industry (including logistics and retailing) in Taiwan. The fuzzy analytic hierarchy process (FAHP) is utilized to find the weighting of each factor, based on opinions of RFID alliance...
The subjects of the study are listed petrochemical companies in China. We regard ST as a symbol of financial crisis for an enterprise. T-test and relevant linear test are applied to determine the model variables and Logistic regression to build the forecasting model of financial crisis, then the data of ST enterprise samples and non-ST enterprise samples are used for analysis. With the forecasting...
The estimation of effort is at the heart of project tasks, since it is used for many purposes such as cost estimation, budgeting, monitoring, project planning, control and software investments. Researchers analyze problems of the estimation, propose new models and use new techniques to improve estimation accuracy. However, effort estimation problem is not only computational but also a managerial problem...
Corporation financial distress has been an important issue for study in the financial fields. This paper uses traditional BP neural network model and proposes PNN model to predicate financial distress. The sample consists of 276 companies listed on the Shanghai Stock Exchange and Shenzhen Stock Exchange over the period 2001–2010. Factor analysis is used to lower correlation and reduce dimensionality...
Price of custom software is very important for a user (end user company). However, there is very little information which helps the user judge the validity of the custom software price. So, one of our research goals is building price estimation model and showing its accuracy for the user to judge the validity of the custom software price. The other goal is how to get value for money custom software...
Due to the economy recession all around the world, the performance of manufacturing industry has been significantly affected. The question of how to generate fast response to customers, maintain the high quality, accurate delivery rate and low risk become the crucial issue of keeping a company competitive. Supplier selection, one of the key factors for a successful production process has attracted...
This study investigate the association of different types of ownership structure and the performance of the firm in meeting the earnings forecasts in the context of mandatory earnings forecasts disclosure requirement. The analysis was tested on a sample of 94 IPO prospectuses published from January 2004 to 30th April 2008. With the mean forecast errors of −7.29%, the result indicates that on average,...
The manufacture of large-scale precision aerospace components using CNC requires a highly effective maintenance strategy to ensure that the required accuracy can be achieved over many hours of production. This paper reviews a strategy for a maintenance management system based on Failure Mode Avoidance, which uses advanced techniques and technologies to underpin a predictive maintenance strategy. It...
Nowadays credit rating is of paramount importance in our economic system. In this article a new approach on financial credit rating will be demonstrated. Unlike many classical credit rating methods, the power of this solution lies in the use of artificial intelligence, which is getting more and more prevalent in economics [J. Bozsik, Neural Fuzzy System for Default Forecasts, 11th International Symposium...
This research study explores current quality requirements (QR) management practices in Australian organisations focusing on the elicitation, handling processes, challenges faced, quantification methods used and interdependency management. This research was conducted through six mini case studies, examining organizations that varied in size, structure, industry and function. A mixed methodology was...
The Integration of CAD and PDM is the greatest concern to customers. The integration is one of the most difficult processes in PDM implementation, and it is also the primary and key link to assure the successful implement of PDM project. So far the PDM implementation in China, the interface exchange integration pattern of CAD to PDM is being used by most projects. In this mode, the product designers...
This research made an early investigation on firm failure prediction (FFP) in hospitality industry of China using support vector machine (SVM) and classical statistical models, and an early comparison on difference of identified significant variables in FFPs for developed and developing countries. The findings indicate that: (a) working capital turnover, equity turnover, ratio of owners' equity, equity...
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