corporate knowledge discovery and organizational learning

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Corporate Knowledge Discovery And Organizational Learning

Author : András Gábor
ISBN : 9783319289175
Genre : Business & Economics
File Size : 58. 24 MB
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This book investigates organizational learning from a variety of information processing perspectives. Continuous change and complexity in regulatory, social and economic environments are increasingly forcing organizations and their employees to acquire the necessary job-specific knowledge at the right time and in the right format. Though many regulatory documents are now available in digital form, their complexity and diversity make identifying the relevant elements for a particular context a challenging task. In such scenarios, business processes tend to be important sources of knowledge, containing rich but in many cases embedded, hidden knowledge. This book discusses the possible connection between business process models and corporate knowledge assets; knowledge extraction approaches based on organizational processes; developing and maintaining corporate knowledge bases; and semantic business process management and its relation to organizational learning approaches. The individual chapters reveal the different elements of a knowledge management solution designed to extract, organize and preserve the knowledge embedded in business processes so as to: enrich organizational knowledge bases in a systematic and controlled way, support employees in acquiring job role-specific knowledge, promote organizational learning, and steer human capital investment. All of these topics are analyzed on the basis of real-world cases from the domains of insurance, food safety, innovation, and funding.

Fuzzy Systems And Knowledge Discovery

Author : Lipo Wang
ISBN : 9783540283317
Genre : Computers
File Size : 47. 71 MB
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This book and its sister volume, LNAI 3613 and 3614, constitute the proce- ings of the Second International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005), jointly held with the First International Conference on Natural Computation (ICNC 2005, LNCS 3610, 3611, and 3612) from - gust 27–29, 2005 in Changsha, Hunan, China. FSKD 2005 successfully attracted 1249 submissions from 32 countries/regions (the joint ICNC-FSKD 2005 received 3136 submissions). After rigorous reviews, 333 high-quality papers, i. e. , 206 long papers and 127 short papers, were included in the FSKD 2005 proceedings, r- resenting an acceptance rate of 26. 7%. The ICNC-FSKD 2005 conference featured the most up-to-date research - sults in computational algorithms inspired from nature, including biological, e- logical, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide range of techniques and methods are being studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cross-fertilization over these exciting and yet closely-related areas, which had a signi?cant impact on the advancement of these important technologies. Speci?c areas included computation with words, fuzzy computation, granular com- tation, neural computation, quantum computation, evolutionary computation, DNA computation, chemical computation, information processing in cells and tissues, molecular computation, arti?cial life, swarm intelligence, ants colony, arti?cial immune systems, etc. , with innovative applications to knowledge d- covery, ?nance, operations research, and more.

Data Analysis Machine Learning And Knowledge Discovery

Author : Myra Spiliopoulou
ISBN : 9783319015958
Genre : Computers
File Size : 20. 62 MB
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Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ​

Organizational Learning And Knowledge Concepts Methodologies Tools And Applications

Author : Management Association, Information Resources
ISBN : 9781609607845
Genre : Business & Economics
File Size : 25. 36 MB
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Organizational Learning and Knowledge: Concepts, Methodologies, Tools and Applications demonstrates exhaustively the many applications, issues, and techniques applied to the science of recording, categorizing, using and learning from the experiences and expertise acquired by the modern organization. A much needed collection, this multi-volume reference presents the theoretical foundations, research results, practical case studies, and future trends to both inform the decisions facing today's organizations and the establish fruitful organizational practices for the future. Practitioners, researchers, and academics involved in leading organizations of all types will find useful, grounded resources for navigating the ever-changing organizational landscape.

Using Information Technology To Support The Discovery Of Novel Knowledge In Organizations

Author :
ISBN : 0494443251
Genre :
File Size : 85. 54 MB
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In this dissertation, I examine how IT can support individuals, and in turn their organizations, in learning about and knowing their external environment on the Web. Specifically, I examine novel-knowledge discovery in the context of the multi-level organizational learning process, focusing on cognitive developments and changes to mental models. Novel knowledge is defined as knowledge that is potentially strategically important to the organization, not currently known to the organization, indirectly relevant and therefore difficult to find. Novel knowledge is proposed to be one of three different types of knowledge that organizations seek to discover in their environment. A theoretical framework is developed to identify the sets of tool characteristics, collectively referred to as levels, which are proposed to support the discovery of different types of knowledge, as well as different modes of learning and learning processes. In addition, extensions to the 4I organizational learning process model are proposed, specific to searching and learning on the Web: (1) adding a fifth process -- information foraging and search-term development, and (2) adding a fourth level to the learning process -- the machine-level. A competing theories approach is used to develop a rich understanding of knowledge discovery and learning on the Web. Understanding which types of tools are useful in different learning contexts has implications for learning effectiveness and may help firms understand how to "manage" their learning. Tools for the discovery of highly novel knowledge are less prevalent than tools to support the other levels of knowledge discovery. Accordingly, a design theory for novel-knowledge discovery tools is proposed based on organizational learning theories. An instantiation of the design theory, a novel-knowledge discovery tool, is developed and tested within the organizational learning process and compared to tools at the other two levels of knowledge discovery. In addition, different processes involved in using a novel-knowledge discovery tool at the group level are examined. Three separate studies were conducted, including a lab and field experiment, and case study. The results are proposed to demonstrate how novelknowledge discovery tools can support organizational learning.

Leading Organizational Learning

Author : Frances Hesselbein Leadership Institute
ISBN : 0787973327
Genre : Business & Economics
File Size : 59. 47 MB
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Leading Organizational Learning brings together today’s top thinkers in organizational learning—including Jon Katzenbach, Margaret J. Wheatley, Dave Ulrich, Calhoun W. Wick, Beverly Kaye, and other thought and industry leaders. This handbook helps business, government, and nonprofit leaders understand how to master learning and knowledge sharing within their organizations. This one-of-a-kind volume is filled with chapters that directly address the most current ideas, concepts, and practices on the topic of organizational learning. Acclaimed authors, world-renowned thought, global, and industry leaders, managing directors, and presidents of leading organizations have contributed their original essays to this provocative collection. Leading Organizational Learning Offers ten guidelines to help key employees and knowledge workers do a better job of influencing upper management Demonstrates the best way to move ideas through an organization Outlines the principles that facilitate knowledge management Explains how people learn on the job Discusses how larger organizations can leverage their “bigness” Proposes a method of knowledge mapping to effectively organize and use knowledge in decisionmaking Outlines the knowledge and attributes integral to the success of today’s executives Discusses passing knowledge from person to person Explains how consultants can help organizations develop ideas Debunks the myths and explores the realities of knowledge management

Knowledge Management

Author : Klaus North
ISBN : 3319036971
Genre : Business & Economics
File Size : 41. 96 MB
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This textbook on Knowledge Management is a result of more than twenty years of research, teaching and consulting experience of the authors. This is the first comprehensive text which brings together European, Asian and American perspectives on knowledge-based value creation. This book is intended not only for academic education but also for providing guidance to managers, consultants, trainers, coaches and those interested to learn about organizations in a knowledge economy in business, public administration and non-profit organizations. Many case studies, examples, questions, assignments as well as easy to use knowledge management tools make this work a compendium for learning, and for implementing knowledge management initiatives.

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