Revision with unchanged content. Managing a changing risk environment presents many challenges to industrial corporation today. Effective risk identification, assessment, analysis, handling and monitoring is critical in order to insure corporations’ productivity and existence. Traditional risk management instruments seem to be insufficient to fulfill the growing needs of industrial corporations. The author Florian Sallmann presents an enhanced risk management process by integrating the concepts of knowledge management into traditional risk management. In addition, he provides a practical application of this new knowledge-based risk management process using the 250 leading Austrian industrial corporations. This book is written for CEOs, CFOs, Insurance and Risk Managers in industrial corporations, their associations, industry insurers and reinsurers as well as economists.
Knowledge Management(KM) is became prime concern for the organizational development. Organization Successes and failure depends on the strategy for Knowledge Utilization and its management. in 21st century KM is becoming indispensable parts for organization economy development for Knowledge Enabler. This Master thesis provides a practical approach to design,development and implementation for KM Strategy through multi agent based approach. its explaining how to design KM Strategy to align business goal with KM Objective and elucidates as approach for implementing KM Strategy in Software engineering organization. which is known as SE-MABKM to make it sustainable. in today era organization development need a complete framework; based on that, organizational activity can be recorded on centralized Knowledge base which is known as Experience factory[EF] in pro rata basis and it can be utilize at the time of required most.this Master thesis can be utilize for knowledge enabler,Knowledge Application developer, Information Technology Management Practitioner.software engineer and various level of IT Practitioner and IT Scientist.
A Knowledge Management System is an integrated multifunctional software framework that supports all main knowledge management and knowledge processing activities, such as capturing, organising, classifying, understanding, debugging, editing, finding, retrieving, disseminating, transferring and sharing knowledge. This book provides an ontology based knowledge management solution for Software Risk Management (SRM). In this book, the knowledge of Software Risk Management is visualized through SRM Ontology (SRMONTO). Emphasizing the profound importance of risk management in the IT industry, an e-learning tool to educate potential software engineers is described in this book. An ontology based web service described in this book is used to analyze a project, product or service based on the factors, relationships and constraints that constitute the respective project, product or service. Its main goal is to provide project analysts with a web service, to aid them in identifying and assessing the risks involved in the project, allowing them to plan for avoiding risks, and controlling and monitoring risk. The targeted audience for this book is students and software engineers.
Book DescriptionIn this volume the methodological aspects of the scenario logic and probabilistic (LP) non-success risk management are considered. The theoretical bases of scenario non-success risk LP-management in business and engineering are also stated. Methods and algorithms for the scenario risk LP-management in problems of classification, investment and effectiveness are described. Risk LP- models and results of numerical investigations for credit risks, risk of frauds, security portfolio risk, risk of quality, accuracy, and risk in multi-stage systems reliability are given. In addition, a rather large number of new problems of estimation, analysis and management of risk are considered. Software for risk problems based on LP-methods, LP-theory, andGIE is described too.
Raising oil prices, intense rivalry completion, safety concerns and downward pressure on prices are some of the serious challenges facing the civil aviation industry. However, in the past decade the industry experienced a new kind of challenge; the escalading shortage of sophisticated technical capabilities especially in the aircraft engineering fields. This was fuelled by the high job rotation, job reduction and the raising rate of retirement of the aging engineering workforce. This exposed the raising knowledge gap between the aircraft engineering experts and new hires. The need for an effective knowledge management (KM) system was evident. Hence, the main objective of this book is to develop and validate a framework for better management of knowledge in the aircraft engineering field. Many previous KM initiatives have failed and that seems to relate to focusing on information technology (IT) based solutions rather than dealing with organizations’ operational issues that have diverse effect on KM implementation. The main outcome of this book is an Operations-Based Knowledge Management (OBKM) framework with a proposed model and implementation guidelines for an effective KM system.
This book focuses on risk management through fuzzy logic for uncertainty in Share Market, Business Decision, Customer Decision in Internet Marketing, and Cloud computing. Risk management is a process of identifying, assessment, and prioritization of risk in business. The goal of risk management is to protect business from unexpected results. Risk management also use to protect employees, customers from negative results. Fuzzy logic was used since it is a tool capable of modeling complex and uncertain or vague data using simple terminology such as IF-Then statements. Fuzzy rule based expert system is very effective for knowledge representation of any system. It is an essential tool which balances the economic, social and environmental benefits The fuzzy rule base can be use to optimize the E-Commerce services and rule discovery facilities and could be used to optimize policy knowledge. E-Commerce rule based fuzzy models provide a powerful and robust tool for encapsulating and exploiting knowledge. This book will help the customer for decision making in share market, where buying and selling of shares takes place from anywhere, wherever with the help of internet connected computer.
Authors focus on the Knowledge engineering base techniques with particle implementation of CommonKADS methodology to design Knowledge base erecruitment portal. To reduce the organizational expenses for advertisement with traditional media and also to promote the eHR based recruitments system. Because such knowledge based portal works effectively, it efficiently deals in applicant''s information as compare to traditional methods, media using by human resource departments for the selection of competent candidates. The main purpose of this work is to develop understanding about the CommonKADS methodology, its implementation, and KE (knowledge engineering) procedures for knowledge based portal (KBP). Authors provide here complete practical guidelines and procedure for the acquisition of knowledge to facilitate the KM (Knowledge Management).
In this book gives an overview of advanced concepts in software engineering.It comprises of six chapters. The first chapter deals with the fundamentals concepts of software engineering. The second chapter provides with detailed description of object oriented concepts in software engineering. Third chapter focuses on the Software reliability, quality and risk management. The fourth chapter deals with the fundamental concepts of software reuse management. Fifth chapter provides an introductory knowledge about the emerging trends software project management. Sixth chapter focuses on software quality assurance.
The effective risk management is an important management tool and it can increase the likelihood of project success. It is necessary applying risk management processes onto projects software engineering, because there are many problems associated with software engineering. These problems may lead cancellation of system development or they do the development of system become unsatisfactory or unacceptable to the client. The risk identification is a primary activity of management, because the list generated is applied in all processes from risk control. This study proposes to build an expert system for identification of risk based on lessons learned of similar projects to help don't repeat the errors.
The essence of Web engineering is to successfully manage the diversity and complexity of Web application development and, therefore, to avoid potential failures that may bring about grave consequences. Many failures associated with Web application projects are the consequences of poor awareness of the risks involved and the weak management of these risks. In this regard, effective risk management has become the essential factor in ensuring the success of the Web project management. In this book, we discuss the typical Web application characteristics, the challenges present in Web application development, reviews the problems and limitations of current Web development practices and their implications. It also provides an overview of the current state of the art in software project risk management as well as reviews of the issue of software project risk and current risk management approaches and techniques. Additionally, the book proposed a new risk management process model intends to improve the risk management, to facilitate risk avoidance before the design process start and to increase the prospects of early risk management
Knowledge management is very important for the education instutions which are one of the main sources of the producing and the spreading the knowledge, but it is even more important in the practical and project based courses. Because in practical intensive courses which are different than theoretical education process; it is the subject of that students will learn with their own experiences, by discovering and being an active participant instead of transfering the knowledge directly by the teacher. This learning process, can be more flexible, variable and different than the theoretical courses. Moreover because practical courses needs current things to practice in the courses, this makes the instructor to know the current changes and developments in the field. Because of all of these reasons, practical and especially project based courses has great importance for the knowledge management processes. For this reason, in the study it has been studied on to evaluate and approach with the perspective of the administrator of the faculty, students and instructors for knowledge management in the project based courses.
This book examines an ontology-based knowledge management approach to enable the interoperation of heterogeneous knowledge management systems in the domain of reusing inter-organizational knowledge. This book also investigates a theoretical ontology mediation framework to develop an integrated ontology by reusing inter-organizational ontologies. This book makes research contributions in the area of applying ontology and its mediation methods to develop and manage inter-organizational knowledge management process.
Six Sigma is a project management methodology. It is used in the industries and corporate sectors to substantiate goal of near perfection in process performance. It has myriads of its application in a numerous organizational and business processes. It is based on Plan-Do-Check-Act cycle to achieve performance improvement in different industries including IT sector. Six Sigma is plentiful mature but still lacks a comprehensive risk management framework. It is because of its primarily used technique Root cause analysis. The need of proper risk management has been increased due to large scale complex projects, which involve high costs. In this paper, we have made an endeavor to propose a risk identification framework to improve quality and productivity in Six Sigma projects in numerous organizations especially in the manufacturing and construction. This study has also provided a detailed overview of the methods currently being used for risk identification in different type of models proposed in the literature. The proposed model undertakes a number of hypotheses to test and then validity through implementation in real time industry environment.
This book shares practical insight to the delivery of knowledge sharing platforms. The prime focus is on community level or external knowledge sharing (between organizations), which is a research area with less empirical and contributing literature. Empirical investigation is based on the development professionals’ experiences working in different organizations (DFID, SIDA, OXFAM, WB, and UNDP). After exploring the existing knowledge management and sharing practices of these organizations, the book has identified the “Cultural” and “Technological” challenges facing wider use of these sharing systems. There are practical suggestions for knowledge management and sharing system Developers, Policy and Decision Makers and System Users, to improve the overall contribution of knowledge sharing in better risk management.