BUSINESS INTELLIGENT AGENTS FOR ENTERPRISE APPLICATION

Fierce competition in a market increasingly crowded and frequent changes in consumer requirements are the main forces that will cause companies to change their current organization and management. One solution is to move to open architectures and virtual type, which requires addressing business methods and technologies using distributed multi-agent systems. Intelligent agents are one of the most important areas of artificial intelligence that deals with the development of hardware and software systems able to reason, learn to recognize natural language, speak, make decisions, to recognize objects in the working environment etc. Thus in this paper, we presented some aspects of smart business, intelligent agents, intelligent systems, intelligent systems models, and I especially emphasized their role in managing business processes, which have become highly complex systems that are in a permanent change to meet the requirements of timely decision making. The purpose of this paper is to prove that there is no business without using the integration Business Process Management, Web Services and intelligent agents.business intelligence, intelligent agents, intelligent systems, management, enterprise, web services

The Need of Knowledge Management Strategy for the Successfully Implementation of Reengineering Projects

This paper want to shown that current knowledge management approaches do not emphasise enough on knowledge sharing from reengineering project perspective. To achieve success with reengineering project, an organisation must possess and share knowledge about many different facets of this process. While many reengineering projects have resulted in improve performance, we believe that higher levels of performance improvement are possible by coupling IT capabilities with KM strategy. To explain these results it was assumed that the key to implementing with success reengineering project is having a wide knowledge management strategy. Our objective for the paper reported here was to understand the factors that motivate to share knowledge before implementing any knowledge management strategy to sustain the successfully implementation of reengineering projects.Information Technologies, knowledge, knowledge management, strategy, reengineering, project

REVIEW OF TECHNOLOGY SOLUTIONS FOR KNOWLEDGE MANAGEMENTi

The present paper focuses on Knowledge Management (KM) as a new managerial discipline emerging in the last few years of the 20th century. The main emphasis of the paper is on the technological solutions applied in the organizations at different stages of the KM life cycle. It makes a classification of the types of technologies described in the theory and practice based on the main KM processes. Finally, are presented survey data on the real application of various knowledge management technologies in the organizations

IS-Driven Process Reengineering: China\u27s Public Health Emergency Response to the SARS Crisis

A process reengineering perspective suggests that public health emergency response requires a low degree of mediation and a high degree of collaboration. Employing a functional coupling framework, this paper analyzes China’s former public health processes and describes the ongoing development of the public health emergency information system (PHEIS) in China. Five problems of the former public health processes are identified, which have largely limited China’s ability to respond to public health emergencies efficiently and effectively. The structure and functions of PHEIS are described, and the facilitation of PHEIS as part of China’s public health process reengineering is explained. In addition, this paper discusses implications for future public health emergency information system development

A review of approaches to supply chain communications: from manufacturing to construction

With the increasing importance of computer-based communication technologies, communication networks are becoming crucial in supply chain management. Given the objectives of the supply chain: to have the right products in the right quantities, at the right place, at the right moment and at minimal cost, supply chain management is situated at the intersection of different professional sectors. This is particularly the case in construction, since building needs for its fabrication the incorporation of a number of industrial products. This paper provides a review of the main approaches to supply chain communications as used mainly in manufacturing industries. The paper analyses the extent to which these have been applied to construction. It also reviews the on-going developments and research activities in this domain

Преглед на технологични решения за управление на знания

The present paper focuses on a new managerial discipline emerging in the last few years of the 20th century. At the beginning are introduced some basic concepts used in the theory and practice of Knowledge Management, and are presented the benefits for utilization of Knowledge management. The main emphasis of the paper is on the technological solutions applied in the organizations at different stages of the knowledge management life cycle, whereas a summary is made of the types of technologies described in the theory and practice. Finally, are presented survey data on the real application of various knowledge management technologies in the organization

A multi-driven approach to requirements analysis of data warehouse model: A case study

In this paper, a multi-driven approach to data modeling in data warehousing will be presented, which integrates three existing approaches normally used separately: goal-driven, user-driven and data-driven; and two approaches usually not used in data warehousing field: process-driven and technology-driven. Goal-driven approach produces subjects and KPI’s (Key Performance Indicators) of main business fields. User-driven approach produces analytical requirements represented by measures and dimensions of each subject. Process-driven approach propose improvements in business processes (by using and creating subject oriented enterprise data model) to satisfy the KPI’s, measures and dimensions identified in the previous approaches. Technology-driven approach is an enabler or an obstacle to be considered in a data warehouse model. Data-driven approach is a combination of the results of previous approaches and results in a data warehouse model. By using a multi-driven approach with five stages, a layered data warehouse model more aligned with business and individual needs can be obtained. This will be illustrated by using examples of a case study

Monitoring interactions across multi business processes with token carried data

The rapid development of web service provides many opportunities for companies to migrate their business processes to the Internet for wider accessibility and higher collaboration efficiency. However, the open, dynamic and ever-changing Internet also brings challenges in protecting these business processes. There are certain process monitoring methods and the recently proposed ones are based on state changes of process artifacts or places, however, they do not mention defending process interactions from outer tampering, where events could not be detected by process systems, or saving fault-handling time. In this paper, we propose a novel Token-based Interaction Monitoring framework based on token carried data to safeguard process collaboration and reduce problem solving time. Token is a more common data entity in processes than process artifacts and they cover all tasks’ executions. Comparing to detecting places’ state change, we set security checking points at both when tokens are just produced and to be consumed. This will ensure that even if data is tampered after being created it would be detected before being used

Dimensions of Information Systems Success

The value added by an organization\u27s IT assets is a critical concern to both research and practice. Not surprisingly, a large number of IS effectiveness measures can be found in the IS literature. What is not clear in the literature is what measures are appropriate in a particular context. In this paper we propose a two-dimensional matrix for classifying IS Effectiveness measures. The first dimension is the type of system studied. The second dimension is the stakeholder in whose interests the system is being evaluated. The matrix was tested by using it to classify IS effectiveness measures from 186 empirical papers in three major IS journals for the last nine years. The results indicate that the classifications are meaningful. Hence, the IS Effectiveness Matrix provides a useful guide for conceptualizing effectiveness measurement in IS research, and for choosing appropriate measures, both for research and practice

Evaluation of automated business process optimization

Today's highly competitive markets tend to favor enterprises, in which business processes are analyzed and optimized regularly, in order to be able to operate in accordance with their business goals. The variety of business process management (BPM) methods applied for this purpose, since the emergence of the concept of business reengineering in the 1990s, ranges from incremental adjustments to radical restructuring. In combination with contemporary workflow automation technology, modern redesign methods are powerful tools for enhancing business performance, enabling companies to maintain a winning margin. Optimization methods that deliver sustainable results using evolutionary approaches, however, are nowadays becoming increasingly popular - once again, two decades after continuous improvement paradigms had almost completely been abandoned in favor of revolutionary process redesign. This diploma thesis explores one such evolutionary BPM approach employed in the deep Business Optimization Platform (dBOP), a research prototype, which assists analysts with the selection and application of suitable process improvement techniques. The present work demonstrates an evaluation of dBOP with the help of simulated business scenarios based on real case studies, and documents the types of optimization patterns most readily applied through automated process redesign. For this purpose two business processes, one from a car rental enterprise and one from a health insurance company, are modeled and deployed on a process server, and executed using web services and sample data warehouses based on actual statistics. These processes are then analyzed with dBOP, in order to compare its optimization recommendations with those expected from a human analyst's perspective