Handbook of Knowledge Management for Sustainable Water Systems

A comprehensive synthesis of the best practices for management in the vital and rapidly growing field of sustainable water systems

Handbook of Knowledge Management for Sustainable Water Systems offers an authoritative resource that goes beyond the current literature to provide an interdisciplinary approach to the topic. The text explores the concept of knowledge management as a key asset and a crucial component of organizational strategy as applied to the sustainability of water systems.

Using the knowledge management framework, the authors discuss socio-hydrology sustainable water systems that reflect the present political, economic and technological reality. The book draws on contributors from a number of disciplines including: economic development, financial, systems-networks, IT/IS data/analytics, behavioral, social, water systems, governance systems and related ecosystems. This vital resource:

• Contains a multifaceted approach that draws on a number of disciplines and contains contributions from experts in their various fields

• Offers a coherent approach that discusses the dynamic concept of sustainability drawing on data from people, systems and processes of diverse water systems

• Includes a comprehensive review of the topic and offers a platform for dialog between theory and empirical analysis

• Explores opportunities for multi-constituent synthesis

This book is written for regulators, water utility practitioners, researchers and students interested in the fledgling field of knowledge management and sustainable water systems and those who want to improve the effective and efficient management of a complex water system.

Auteur

About the Editor

MEIR RUSS is a Professor in Management at the Austin E. Cofrin School of Business at the University of
Wisconsin-Green Bay, Green Bay. He also teaches at KEDGE-Bordeaux School of Management, the University of Pisa, GSA Master program, NORD University, Norway; Master of Knowledge Management program and at Roma-Tre,
Rome, Italy Ph.D. program as well as at the Doctorate in "Economia Aziendale e Management" program at the University of Pisa. His research interests include human capital valuation methods, knowledge-based strategies and the new-knowledge based economic development among others. In addition to his academic focus, Dr. Russ serves in a consulting capacity with a number of multinational companies in the area of global strategic management and knowledge management. Dr. Russ is the founding editor of The International Journal of Management and Business (IJMB) and at present he is the Chief Editor of Online Journal of Applied Knowledge Management (OJAKM).

Contenu

List of contributors xiii

Series Editor Foreword Challenges in Water Management xv

Preface xvii

Introduction and a theoretical framework for Knowledge Management for Sustainable Water Systems 1
Meir Russ

Part 1 Organizational and Administrative Aspects of Knowledge Management for Sustainable Water Systems 13

1 Perspectives from a water research institute on Knowledge Management for Sustainable Water **Management 15
**Janet G. Hering, Lothar Nunnenmacher and Harald von Waldow

Introduction 15

1.1 The setting Eawag's funding, scope and mandate 17

1.2 Understanding SWM-related demands for KM at Eawag 18 1.3 Current measures to meet SWM-related demands for KM at Eawag 19

1.3.1 Data management 19

1.3.2 Management of scientific and technical knowledge 22

1.3.3 Management of experiential and practical knowledge 23

1.4 Unresolved issues and challenges in SWM-related KM 24

1.4.1 Information overload and fatigue 25

1.4.2 Open access 25

1.4.3 Quality control and collaborative editing 26

1.4.4 Resource demands 27

1.5 Future directions for SWM-related KM 27

1.6 Concluding comments 28

References 29

**2 Information transfer and knowledge sharing by water user associations in China 35
**Dajun Shen, Xuedong Yu and Ali Guna

Introduction 35

2.1 Literature review 36

2.2 WUA set-up and operation in China 38

2.3 WUA information transfer and knowledge sharing 39

2.3.1 Basic information 41

2.3.2 Water use management 44

2.3.3 Financial management 45

2.3.4 Infrastructure management 46

2.3.5 Water trade 47

2.4 WUA in Shiyang River basin 48

2.4.1 Water rights allocation 49

2.4.2 Stakeholders of WUA 49

2.4.3 Information transfer and knowledge sharing in water use management 50

2.4.4 Information transfer and knowledge sharing in water tariff management 50

2.4.5 Information transfer and knowledge sharing of water rights trade 52

2.5 Suggestions 55

References 57

**3 Knowledge Management Systems for urban water sustainability: Lessons for developing nations 61
**Vallari Chandna and Ana Iusco

Introduction 61

3.1 Population trends towards urbanization 62

3.2 Water issues plaguing South Africa 63

3.3 Evaluating South Africa 64

3.4 Sweden the aspirational model 67

3.5 Urban water sustainability 69

3.6 Knowledge Management Systems (KMSs) 70

3.7 Knowledge Management for urban water sustainability in South Africa 71

3.8 Conclusion 75

References 76

**4 A Knowledge Management model for corporate water responsibility 79
**Fabien Martinez

Introduction 79

4.1 Corporate water responsibility as a socially oriented process 81

4.2 Insights from Knowledge Management theory 85

4.3 Contribution, limitations and implications 88

4.4 Conclusion 92

References 93

5 How 21st Century Knowledge Management can greatly improve talent management for sustainable **water project-teams 99
**Stephen Atkins, Lesley Gill, Kay Lion, Marie Schaddelee and Tonny Tonny

Introduction 99

5.1 Talent-requirements or competency modeling as applied to water projects 101

5.1.1 Aspects of modern HR management relevant to staffing project teams 102

5.1.2 Currently available HR-related online technologies in the public domain 108

5.1.3 Practices specific to sustainable water-aid 109

5.2 Empirical glimpse at needed competencies for sustainable water projects via HR big data 110

5.2.1 Fundamentals of statistical dimension-reduction 110

5.2.2 Q-methodology contrasted with traditional R-methodology/questionnaire factor analysis 110 5.2.3 Impo...