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Future Research in Knowledge Management: Results from the Global Knowledge Research Network Study

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Advances in Knowledge Management

Part of the book series: Knowledge Management and Organizational Learning ((IAKM,volume 1))

Abstract

Over the last two decades, knowledge has attracted increased interest in academia and practice. Numerous journals have dedicated special issues to knowledge in organisations and 25 peer-reviewed journals have emerged under the label Knowledge Management (KM). Every sector from manufacturing and services to public administration has engaged in KM initiatives. The Global Knowledge Research Network (GKRN) conducted a global study to identify future research needs in KM. 222 KM experts (38 countries, 42 nationalities, 16 industries, government, international organisations, NGOs, 16 academic disciplines) have contributed. This chapter reports the overall results. Future research in KM needs to demonstrate the value contribution of KM, should focus more on human and social factors and explore KM as an organisational capability. The core concepts of knowledge should be re-visited to improve the understanding. More critical research approaches should be employed and KM research should experiment with design science, ecological and biological models.

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Notes

  1. 1.

    The first analysis for KM Theory was undertaken by Remy Magnier-Watanabe (University of Tsukuba, Tokyo, Japan) and Narendra M Agrawal (Indian Institute of Management Bangalore, India) and for KM Practice by Aldu Cornelissen (University of Stellenbosch, South Africa) and Ernesto Amaru Galvis Lista (Universidad Nacional de Colombia, Bogotá, Colombia).

  2. 2.

    The first analysis was undertaken by Joanna Paliszkiewicz, Magdalena Madra (Warsaw University of Life Sciences, Poland) and Nasser Fathi Easa (Alexandria University, Egypt).

  3. 3.

    The statistical analysis was undertaken by Peter Heisig (Leeds University Business School, UK).

  4. 4.

    The first analysis was undertaken by Olunifesi Adekunle Suraj (Lagos State University, Nigeria) and Gregorio Perez Arrau (Universidad de Santiago de Chile, Chile).

  5. 5.

    The first analysis was undertaken by Nóra Obermayer-Kovács (University of Pannonia, Hungary) and Anthony Wensley, Max Evans (University of Toronto, Canada).

  6. 6.

    The first analysis was undertaken by Nicholas Caldwell (Suffolk Business School, UK) and Peter Bo Sarka (Technical University of Denmark, Denmark).

  7. 7.

    The first analysis was undertaken by Peter Heisig (Leeds University Business School, UK) and Aino Kianto (Lappeenranta University of Technology, Finland).

  8. 8.

    The first analysis was undertaken by Karina Jensen (NEOMA Business School, Reims Campus, France) and Nekane Aramburu, Josune Sáenz (Deusto Business School, Universidad de Deusto, Spain).

  9. 9.

    The first analysis was undertaken by Rony Dayan (Israel Institute of Technology, Israel) and Florinda Matos, Isabel Miguel (Intellectual Capital Accreditation Association, Portugal).

  10. 10.

    The first analysis was undertaken by Lucia Rodriguez Aceves (Tecnológico de Monterrey, Mexico) and Cosmas Kemboi (KCA University, Nairobi, Kenya).

  11. 11.

    The first analysis was undertaken by Fábio Ferreira Batista (Instituto de Pesquisa Econômica Aplicada, Brasilia, Brazil) and Mariza Tsakalerou (The Hong Kong Polytechnic University, Hong Kong).

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Acknowledgments

The author would like to thank University of Leeds (FIRC) and the Society for the Advancement of Management Studies (SAMS) for providing initial funding for this research.

The author would like to thank the members of the Global Knowledge Research Network from Brazil, Canada, Chile, Colombia, Croatia, Denmark, Egypt, Finland, France, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Malaysia, Mexico, Morocco, Netherlands, Nigeria, Poland, Portugal, South Africa, Spain, Thailand, Trinidad & Tobago, Turkey, Uruguay, USA and United Kingdom.

Without the help before and the contribution at the first GKR-Network Workshop in July 2013 this work would not have been possible. Special thanks to:

Dimension

Research partners

B – KM Theory

Remy Magnier-Watanabe (University of Tsukuba, Tokyo, Japan) and Narendra M Agrawal (Indian Institute of Management Bangalore, India)

B – KM Practice

Aldu Cornelissen (University of Stellenbosch, South Africa) and Ernesto Amaru Galvis Lista (Universidad Nacional de Colombia, Bogotá, Colombia)

C – Core Concepts

Joanna Paliszkiewicz, Magdalena Madra (Warsaw University of Life Sciences, Poland) and Nasser Fathi Easa (Alexandria University, Egypt)

D1 – Business Outcome

Olunifesi Adekunle Suraj (Lagos State University, Nigeria) and Gregorio Perez Arrau (Universidad de Santiago de Chile, Chile)

D2 – Human and Social Factors

Nóra Obermayer-Kovács (University of Pannonia, Hungary) and Anthony Wensley, Max Evans (University of Toronto, Canada)

D3 – Technological Enablers

Nicholas Caldwell (Suffolk Business School, UK) and Peter Bo Sarka (Technical University of Denmark, Denmark)

D4 – KM Processes

Peter Heisig (Leeds University Business School, UK) and Aino Kianto (Lappeenranta University of Technology, Finland)

D5 – Capabilities

Karina Jensen (NEOMA Business School, Reims Campus, France) and Nekane Aramburu, Josune Sáenz (Deusto Business School, Universidad de Deusto, Spain)

D6 – Strategy

Rony Dayan (Israel Institute of Technology, Israel) and Florinda Matos, Isabel Miguel (Intellectual Capital Accreditation Association, Portugal)

D7 – Environment

Lucia Rodriguez Aceves (Tecnológico de Monterrey, Mexico) and Cosmas Kemboi (KCA University, Nairobi, Kenya)

D8 – Knowledge Economy

Fábio Ferreira Batista (Instituto de Pesquisa Econômica Aplicada, Brasilia, Brazil) and Mariza Tsakalerou (The Hong Kong Polytechnic University, Hong Kong)

Finally, I would extend my special thanks to Nicholas Caldwell for his help with the proof-reading at a very short notice and to Anita Samuel, Leeds University Business School, Leeds for her support in organising the first network workshop in Leeds.

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Correspondence to Peter Heisig .

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Annex: Coding Schema for Experts

Annex: Coding Schema for Experts

DE-01-HE-PRO-15-ECO

A coding schema for each interview partner was designed consisting of the following:

  • DE = Germany – Country working in

  • 01 = Number of interview per country

  • HE = Higher Education – Industry

  • PRO = Professor – Role of the interviewee

  • 15 = years of KM experiences (longest if two were given)

  • ECO = Economics – Academic: Discipline doing research/ Industry: Discipline educated in

Country (ISO 3166)

Industry

Role

Education/discipline

AT – Austria

AE – Aerospace Industry

CKO – Chief Knowledge Officer

ARC – Architecture

BA – Bosnia & Herz

AU – Automotive Industry

KPM – Knowledge Program Manager

BM – Business & Management Research, Accounting

BR – Brazil

BIF – Banking, Insurance and Financial Services

HKM – Head of Knowledge Management

CIT – Computer Sciences & Information Technology

CA – Canada

CO – Construction

IKM – Internal KM Consultant

ECO – Economics

CH – Switzerland

CPS – Consulting and Professional Services

EKM – External KM Consultant

ENG – Engineering

CL – Chile

CG – Consumer Goods

DIR – Director, Manager

GEO – Geology

CO – Colombia

CP – Chemical and Pharmaceutical

OB – Other Business role

IS – Information Science, Library Science

DK – Denmark

ITS – IT and Software

PRO – Professor

KM – Knowledge Management

EG – Egypt

ELE – Electric Industry

SL – Senior Lecturer/Lecturer

PHI – Philosophy

ES – Spain

ERM – Energy and Raw materials

SR – Senior Researcher

NAT – Natural Sciences, Physics, Chemistry, Biology

ET – Ethiopia

ECM – Engineering, Capital Equipment and Metal

OA = Other role academia

PSY – Psychology, Behavioural Science

FI – Finland

FA – Food and Agriculture

 

SOC – Sociology

FR – France

GOV – Government Administration

POL – Political Sciences

DE – Germany

HE – Higher Education, University

LAW – Law

GB – Great Britain

MEF – Media & Film

HLA – Humanities, Languages, Art

HK – Hong Kong

PWC – Paper, Wood, Glass, Ceramics

OD – Other Discipline

HR – Croatia

TEL – Telecommunications

 

HU – Hungary

TCF – Textile, Clothing, Shoes, Fashion

IE – Ireland

IN – India

IL – Israel

TRA – Trading

JP – Japan

TRT – Transport and Tourism

KE – Kenya

LK – Sri Lanka

SER – Service s

MA – Morocco

OTI – Other Industry

MX – Mexico

NA – No answer

NG – Nigeria

 

PL – Poland

PT – Portugal

RI – Indonesia

SE – Sweden

TH – Thailand

TT – Trinidad & Tobago

US – United States

UY – Uruguay

ZA – South Africa

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Heisig, P. (2015). Future Research in Knowledge Management: Results from the Global Knowledge Research Network Study. In: Bolisani, E., Handzic, M. (eds) Advances in Knowledge Management. Knowledge Management and Organizational Learning, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-09501-1_7

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