Innovations in Knowledge Management 1st Edition by Liana Razmerita,Gloria Phillips Wren,Lakhmi Jain 9783662478271 3662478277

Part IManaging Knowledge, Projectsand Networks

1 Advances in Knowledge Management: An Overview

Abstract

1.1 Introduction

1.2 The Evolution of Knowledge Management (KM)—A Historical Perspective

1.3 Managing Knowledge, Projects and Networks

1.4 Theoretical Perspectives in KM

1.5 Towards a Network-Centric Collaborative Approach

1.5.1 Networked Organization

1.6 Managing Knowledge Using Social Media

1.6.1 New Approaches and Technologies for Capturing/Acquiring Knowledge

1.7 Conclusions

1.7.1 Organization of the Book

References

2 A Methodology for Systematic Project Knowledge Reuse

Abstract

2.1 Motivation

2.2 Knowledge Management: Processes, Roles and Technological Support

2.2.1 The Knowledge Management Process

2.2.2 Roles in Knowledge Management

2.2.3 Technological Support of Knowledge Management

2.2.4 The Need for a New Project Knowledge Reuse Methodology

2.3 Project Knowledge Reuse—A Methodology

2.3.1 Types of Lessons Learned Sessions

2.3.2 Project Knowledge Reuse Methodology

2.3.2.1 Double-Cycled Lessons Learned Process

2.3.2.2 Roles and Responsibilities

2.3.2.3 Knowledge-Centric Project Management Process

2.3.3 Exemplarily Implementation of the Project Knowledge Reuse Methodology

2.4 Summary

References

3 Knowledge Management and Enterprise Social Networking: Content Versus Collaboration

Abstract

3.1 Introduction

3.1.1 Purposes of This Paper

3.1.2 Outline of This Paper

3.2 Background: Knowledge Management and Social Media

3.2.1 Enterprise Knowledge Management

3.2.2 Social Media and Web 2.0

3.3 Enterprise Social Networking

3.3.1 Definition

3.3.2 Limitations of Enterprise Social Networking

3.3.3 Other Issues Concerning ESN

3.3.4 Selected Previous Research on ESN

3.4 Content Models of Knowledge Management

3.4.1 Repository Versus Router Models of Knowledge

3.4.2 Centralized Versus Decentralized Control

3.4.3 Prepare Knowledge Ahead of Time or Use Just-in-Time Knowledge

3.4.4 Embedding Knowledge Content in Processes

3.4.5 Management Philosophy and Content

3.4.6 Gathering, Preparing and Embedding Content for Centralized Repositories or Routers

3.4.7 Content Research in Knowledge Management

3.5 Collaboration Models of Knowledge Management

3.5.1 Push and Pull in Collaboration

3.5.2 Collaboration and Communication

3.5.3 Embedding Collaboration into Processes

3.5.4 Management Philosophy

3.5.5 Collaboration Research in Knowledge Management

3.6 Least Effort Theory, Exchange Theory and Pecking Theory

3.6.1 Principle of Least Effort

3.6.2 Social Exchange Theory

3.6.3 Pecking Order Theory in Finance and Knowledge Management

3.6.4 Content and Collaboration Pecking Order

3.7 Contributing Personal Knowledge: Content Versus Collaboration

3.7.1 Supply and Demand of Personal Knowledge for Content

3.7.2 Supply and Demand of Personal Knowledge for Collaboration

3.7.3 Content Versus Collaboration—Value of Contributions

3.8 Integrating Content and Collaboration

3.8.1 Embedding Content or Collaboration into Processes

3.8.2 Putting Content and Collaboration Adjacent to Each Other

3.8.3 Collaborated Content Versus Turning Collaboration into Content

3.8.4 Emerging Research Issues Re Content and Collaboration

3.9 PriceWaterhouseCoopers (PWC) Case Study

3.9.1 Motivation for Adopting Jive

3.9.2 Key System Characteristics

3.9.3 Impact of Culture on ESN

3.10 Emerging Research Issues

3.11 Summary, Contributions and Extensions

Acknowledgements

References

4 Social Media and Employee Affiliation: Networks of Practice as New Supra-Organizational Entities

Abstract

4.1 Introduction

4.2 Literature Review

4.2.1 The Impact of Social Media

4.2.2 Communities and Networks of Practice

4.2.3 Employee Affiliation

4.2.4 Influence of Information and Communication Technologies on Employees’ Sense of Affiliation

4.3 Research Design

4.3.1 Data Collection

4.3.2 Methods

4.4 Data Analysis and Results

4.5 Discussion and Connections with Other Research

4.6 Conclusion and Outlook

Acknowledgments

References

Part IIManaging Knowledge Using SocialMedia: Factors InfluencingAdoption and Usage

5 Studying Social Software Adoption by Management Consultants: Use and Application Categories for Kn

Abstract

5.1 Introduction

5.2 Theoretical Background

5.2.1 Management Consultancy and Knowledge Management

5.2.2 Social Software

5.3 Literature Analysis

5.3.1 Social Software Research

5.3.2 Use of Social Software for Knowledge Management

5.3.3 Deduction of Use Categories

5.4 Qualitative Expert Study

5.5 Results and Discussion

5.5.1 Use Categories

5.5.1.1 Knowledge Sharing

5.5.1.2 Knowledge Seeking

5.5.1.3 Communication

5.5.1.4 Collaboration

5.5.1.5 Summary

5.5.2 Application Categories

5.6 Conclusion and Outlook

References

6 Social Media Within German Companies—An Interview-Based Analysis

Abstract

6.1 Introduction

6.2 Methodology

6.3 Related Work

6.3.1 Influence of Social Media on Knowledge Sharing

6.3.2 Employees’ Acceptance and Participation

6.3.3 Employees’ Motivation to Share Knowledge

6.4 Interview Results

6.5 Discussion

6.5.1 Influence of Social Media on Internal Knowledge Sharing

6.5.2 Employees’ Acceptance and Participation

6.5.3 Employees’ Motivation to Share Knowledge

6.6 Conclusion and Future Work

References

7 Social Media Applications for Knowledge Exchange in Organizations

Abstract

7.1 Introduction—The Knowledge Society 2.0

7.1.1 Relevance of This Article

7.1.2 Structure of This Article

7.2 Social Media Based Knowledge Exchange in Organizations

7.2.1 Social Media as a Medium for Knowledge Exchange

7.2.2 Social Media as a Success Factor for Knowledge Exchange?

7.2.2.1 Corporate Setting

7.2.2.2 Science Setting

7.2.3 Talent Onboarding

7.2.4 Technology Platforms

7.2.5 The Human Factor in Knowledge Exchange via Social Media in Professional Contexts

7.3 Applied Social Media for Knowledge Exchange

7.3.1 Methodology

7.3.2 Research Project: iNec

7.3.2.1 Requirement Analysis

7.3.2.2 Willingness to Disclose Personal Information

7.3.2.3 Social Media Etiquette

7.3.2.4 Summary Corporate Setting

7.3.3 Extension of Context: From an Industry to a Science Setting

7.3.3.1 A Social Network for Scientific Cooperation

7.3.3.2 Sharing Non-personal Sensitive Data in Social Networks?

7.4 Conclusion

Acknowledgments

References

Part IIINew Approaches and Technologiesfor Knowledge Acquisition

8 Context-Aware and Process-Centric Knowledge Provisioning: An Example from the Software Development

Abstract

8.1 Introduction

8.2 Overview of Approaches in the Software Engineering Domain

8.3 Current Issues

8.3.1 Problem Areas

8.3.2 Basic Requirements

8.4 Automated Knowledge Provisioning Approach

8.4.1 Abstract Knowledge Provisioning Concept

8.4.2 Knowledge Provisioning Framework

8.5 Automated Knowledge Provisioning in Processes

8.5.1 Knowledge Provisioning Requirements

8.5.2 Knowledge Provisioning Components

8.5.3 Knowledge Provisioning Process

8.5.4 Knowledge Provisioning Example

8.6 Knowledge-Based Contextual Adaptation of Processes

8.6.1 Concept for Knowledge-Based Contextual Adaptation of Processes

8.6.2 Requirements for Knowledge-Based Contextual Adaptation of Processes

8.6.3 Extended Concept for Knowledge-Based Contextual Adaptation of Processes

8.7 Knowledge-Based Collaborative Process Support

8.7.1 Advanced Collaboration Requirements

8.7.2 Collaboration Support Concept

8.8 Summary and Conclusion

Glossary

References

Additional Resources on Related Topics: Books

Articles

Conferences and Workshops

9 Towards Near Real-Time Social Recommendations for the Enterprise

Abstract

9.1 Introduction

9.2 Background and Related Work

9.2.1 Distributed Organisational Environments

9.2.2 Classification of Personalisation Approaches

9.2.2.1 Collaborative Filtering

9.2.2.2 Content-Based Recommendation

9.2.2.3 Knowledge-Based Recommendation

9.2.2.4 Hybrid Algorithms

9.2.2.5 Top-K Approach

9.2.3 Graph-Based Approaches

9.2.3.1 Semantic Distance

9.2.3.2 Spreading Activation

9.2.3.3 Comparison to Neural Networks and PageRank

9.3 Use Case and Requirements

9.3.1 Use Cases

9.3.2 Personalisation Requirements for the ADVANSSE Distributed Platform

9.4 The ADVANSSE Distributed Social Platform

9.4.1 Protocols Used for Data Synchronisation

9.4.1.1 SPARQL Update

9.4.1.2 The Extensible Messaging and Presence Protocol

9.4.1.3 Using XMPP and SPARQL Update Together

9.4.2 ADVANSSE Architecture

9.4.3 ADVANSSE Server

9.4.4 ADVANSSE-Connected Social Platform

9.5 Application of Spreading Activation to ADVANSSE

9.5.1 Spreading Activation Algorithm

9.5.1.1 Basic Spreading Activation

9.5.1.2 Constrained Spreading Activation

9.5.2 Application to ADVANSSE Use Cases

9.5.3 Qualitative Evaluation

9.6 Demonstrator Implementation

9.6.1 Demonstrator Data

9.6.1.1 User Profiles, Tags and Posts from StackExchange

9.6.1.2 StackExchange Data Extraction Process

9.6.1.3 Background Knowledge from DBpedia

9.6.1.4 Data Schema: CISCO ERT

9.6.2 ADVANSSE Server

9.6.2.1 XMPP Server: Openfire

9.6.2.2 Personalisation Component

9.6.2.3 RDF Meta-Data Store: Jena Fuseki

9.6.2.4 Link Resolver

9.6.3 Recommendation Algorithm

9.6.3.1 Implementation

9.6.3.2 Benchmark Results

9.6.3.3 Data Storage

9.6.4 ADVANSSE Connected Social Platform

9.7 Conclusions

Acknowledgements

References

10 Enriching Knowledge in Business Process Modelling: A Storytelling Approach

Abstract

10.1 Introduction

10.2 Main Concepts and Related Work

10.2.1 Process-Oriented Knowledge Management and the Role of Process-Modelling

10.2.2 Workflow Paradigm

10.2.3 The Storytelling Approach

10.3 Process Modelling with Storytelling

10.3.1 The Modelling Tool

10.3.2 Storytelling Versus Workflow

10.4 Case Study

10.4.1 Case Study Design

10.4.2 Case Description and Results

10.5 Conclusions