Corporate Knowledge Discovery and Organizational Learning

The Role, Importance, and Application of Semantic Business Process Management

  • András Gábor
  • Andrea Kő

Part of the Knowledge Management and Organizational Learning book series (IAKM, volume 2)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Katalin Ternai, Mátyás Török, Krisztián Varga
    Pages 33-57
  3. Gábor Neusch
    Pages 105-130
  4. Christian Weber
    Pages 131-153

About this book


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.


Business process models Corporate knowledge assets Human capital investment Knowledge acquisition Knowledge extraction Semantic BPM

Editors and affiliations

  • András Gábor
    • 1
  • Andrea Kő
    • 2
  1. 1.Corvinno Ltd.BudapestHungary
  2. 2.Corvinus University of BudapestBudapestHungary

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-28915-1
  • Online ISBN 978-3-319-28917-5
  • Series Print ISSN 2199-8663
  • Series Online ISSN 2199-8671
  • Buy this book on publisher's site