The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The focus of knowledge management is not only for academic but already a realization that knowing about knowledge is critical for business growth and business survival. Knowledge management is known as one of the key factors for the enterprises to have a sustainable competitive advantage. Many enterprises would like to have knowledge management implemented in their company but they are often confused...
The main problems of interaction between IT business and IT education for establishing the effective specialist training in this industry in Ukraine are analyzed. The key points, that are inherent in the educational field that prepares IT professionals and in the corporations that have successfully positioned in the IT market, are outlined.
In this paper the application of Self-Organizing Maps to analyze the stock market data is presented. The impact of this type of the neural network on the performance of investment strategies is discussed. The considered characteristics include the size of the network based on the average number of learning patterns per neuron, conscience mechanism, method of weights update and learning coefficient...
Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text. The unprecedented accuracy of deep learning methods has turned them into the foundation of new AI-based services on the Internet. Commercial companies that collect user data on a large scale have been the main beneficiaries of this trend...
Electric charge is the primary income for the power company. However, collecting electric charge is much difficult due to the existence of the risky consumer which makes the huge impact on the normal operation and development of the company. So the arrear problem of the risky customers has become one of the focus problems. Based on the gettable electric data from some areas, this paper proposed an...
This study analyzes the success of the implementation of business strategies in Polish manufacturing enterprises. It focuses on the use of motivators for knowledge workers and is based on a survey and from data obtained from 119 Polish manufacturing enterprises. In this study, the effect of the use of motivators in a manufacturing company is investigated via a simulation of a model using the Group...
The debate about the use of automated security measures versus training and awareness of people with access to data (such as employees) to protect sensitive and/or private information has been going on for some time. In this paper, we outline the thinking behind security, what hackers are trying to accomplish and the best ways of combating these efforts using the latest techniques that combine multiple...
Joint-venture alliance project partners have different and sometimes conflicting goals and incentives, and project members often have short project stays and weak allegiance to overall project goals. Given this, the sources of alignment required for the diffusion of selected and mandated ICT on projects appears to be limited. We ask, how are individual, organizational and project incentives aligned...
Lean manufacturing may be applied predominantly in the manufacturing environment, however it is aptly applicable to the service industry as well. 5S may be considered as a tool of lean as it reduces waste and adds value to the process. It may be combined with other tools such as Kanban, Kaizen, total preventive maintenance, total quality management in addressing pertinent issues in the workplace....
Knowledge is typically created within one unit of a company and then transferred through contact persons (“knowledge brokers”) to the other units. There are four main types of participants in the knowledge transfer process: sender, broker, broker's boss, and the other unit members. Transferring knowledge and promoting its utilization to all members in a hierarchical organization is not easy. A key...
Abstract-Human Resources play a very important role in Insurance industry such as in banking and other Services organizations. Employee is an invaluable asset for the success and growth of an organization. Employees or Human Resources of any institution/organization/company are fundamental assets who transform from material assets to productive resources in order to satisfy the social needs of the...
This paper introduces two fuzzy fingerprint based text classification techniques that were successfully applied to automatically label companies from CrunchBase, based purely on their unstructured textual description. This is a real and very challenging problem due to the large set of possible labels (more than 40) and also to the fact that the textual descriptions do not have to abide by any criteria...
Enterprise in financial trouble is a comprehensive event and the enterprise financial situation can be reflected through the liquidity ratio, earnings per share and net assets per share and cash content per share. Artificial neural network method is used to establish the financial early warning model to find the potential financial crisis at an early age. The experiment results show that BP neural...
A strong classifier model oriented to the financial risk warning of listed company has played an important role in the risk analysis of enterprise finance. Based on the BP_Adaboost composed of BP neural network and Adaboost algorithm, a strong classifier model of enterprise finance is designed and established, and is verified with the actual data. In the first, the evaluation index has the largest...
Based on the current situation of rural power grid construction and reformation project in Jilin rural areas, evaluation index system of rural power grid reformation project is established. Aiming at characteristics of a larger number of indicators, rural power grid reformation evaluation model is put forward based on rough set and support vector machine. Through the examples analysis of evaluation...
Modern process plants are becoming more and more complex with high demands placed on design, engineering and operation. Throughout the life cycle of process plants, there is always the typical conflict involving costs, time and quality. One way of resolving this conflict is to employ simulation technology as it can be used to answer questions relating to engineering and operation earlier and with...
While dealing with BigData and with data streams in particular, it is a common practice to summarize or aggregate customers' transaction history to the periods of few months. Consequently, we shall compress the given huge volume of data, and shall transfer the data stream to the standard rectangular format, where columns represent secondary aggregated features and rows represent customers. This data-matrix...
This article identifies how IT organizational performance can be improved in a mobile enterprise through specific management activities within The Mobile IT Conversion Process, The Mobile Use Process and The Competitive Process. Based on a comprehensive model of mobile IT business value creation, we provide a modified model including organizational culture and change management concept and recommendations...
Concerns about global warming and energy costs have induced transport companies to take measures to reduce fuel consumption. Among the different options available, efficient driving is widely used, allowing a reduction in fuel consumption of around 10%. However, changing the driver's behavior is not exempt of problems. The success of efficient driving techniques in the long term is related to the...
The paper presents the findings of an industry-based study in the utility of text categorization. The purpose of the study is to explore new approach to evaluate service quality of customer complaint handling. The industrial research setting is a large China insurance company. The text categorization methodologies are used in this research including nature language processing and machine learning...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.