The Electronic Journal of Knowledge Management publishes original articles on topics relevant to studying, implementing, measuring and managing knowledge management and intellectual capital.

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Journal Article

Key Performance Indicators Metrics Effect on the Advancement and Sustainability of Knowledge Management  pp149-154

Mohamed Rabhi

© Apr 2011 Volume 9 Issue 2, ICICKM 2010 special issue, Editor: W.B. Lee, pp85 - 180

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This paper addresses the relationship between the value of data and KPs as they relate to the sustainability of knowledge management (KM). Numerical data are compelling metrics to persuade executives and management in the organization of the significance of Knowledge Management. External statistics are usually less impactful than internal data. Nonetheless, and in the absence of internal data at the early phases of KM projects, many companies collect published data for comparable industries. In the present case, we compiled information from previous experiences of companies in the same line of business; therefore, management by‑in was secured, and the KM project was, to some extent, successfully implemented. However, there was a need to generate in‑house numbers to support promises and claims of KM benefits, and persuade all KM players from the technician to the organisation president; the ultimate objective is to have a sustainable Knowledge Management project across the organization, with visible, concrete, and quantifiable results. Equipped with the assertion “data is power”, Key Performance Indicators (KPIs) and other metrics were devised and integrated into our KM processes; these measurements are being pulled out systematically, and published to the whole audience. KPIs measured included the effect of KM on (i) customer satisfaction, (ii) business impact (i.e. savings), (iii) number of projects completed on time, (iv) and the number of technical reports generated per unit of research area. Over the past few years, the data we generated shows a considerable increase in customer satisfaction with our research and technical services; significant savings were obtained each year; project timely completion indicator rose to high levels as compared to previous yearly data; the electronic technical and scientific library experienced a build up of valuable know‑how reports. Knowledge re‑use as shown by reliance on internal resources was the standard and routine practice. On the other hand, many other qualitative observations, like effect on health, safety, and the environment are being quantified for inclusion in the KPI reporting. Based on the accumulated data, we believe that numerical values coupled with other tangible solid results will ensure a viable and sustainable KM in our organization. This hypothesis is supported by five year data and trend analysis. It confirms that internally generated statistics is a powerful tool to sway and re‑assure the organization that KM can indeed increase efficiency, enhance customer satisfaction, and drive savings.


Keywords: KM, sustainable, metrics, data, KPI, statistics, know how


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Journal Article

Knowledge Geography for Measuring the Divergence in Intellectual Capital of Russia  pp121-135

Andrey S. Mikhaylov, Anna A. Mikhaylova, Vivek K. Singh, Dmitry V. Hvaley

© Apr 2020 Volume 18 Issue 2, Editor: Eduardo Tome, pp91 - 195

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Knowledge is becoming a paramount resource of innovation economies. The efficient management of generation, use, accumulation and transfer of knowledge within a non‑linear innovation process plays a critical role in economic growth. Knowledge geography registers the uneven landscape of the national innovation system and captures the key excellence clusters at different hierarchical levels – from local nodes to cities and regions. While the spatial patterns of knowledge commercialization are primarily considered via production processes at the regional level (regional innovation systems, regional innovation clusters), knowledge generation has to be monitored and assessed at the level of cities. Urban settlements accommodate communities of people and a population of firms that form unique configurations of innovation ecosystems that sculpture the intellectual capital of regions and states. This paper presents the distribution of knowledge‑generating centres in Russia by undertaking an in‑depth evaluation of bibliometric data for 440 settlements across the country for a period of 2013‑2017. Methods of spatial scientometrics enable to register the intellectual capital accumulated in a certain locality and analyse development trajectories of urban settlements. Russia is an interesting case of studying the spatial patterns of knowledge generation. The large territorial extent of the country, the remoteness of individual cities from each other, their heterogeneity in size, level of development, and knowledge specialization makes it a highly diverse context. Research results suggest that knowledge domain characteristics are formed irrespective of the population figures, whereas the development dynamics of small and medium‑sized cities are specific. Smaller cities strive to be integrated into inter‑regional and international collaboration in order to overcome the shortage of local resources. A limited gross volume of research output generated by small and medium‑sized cities creates extreme indicator values as compared to the major cities and the national average. The study concludes with a typology of cities taking into account the specific features of knowledge generation dynamics.


Keywords: knowledge geography, innovation geography, spatial scientometrics, regional innovation system, knowledge management, intellectual capital, Russia


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Journal Issue

Volume 9 Issue 2, ICICKM 2010 special issue / Apr 2011  pp85‑180

Editor: W.B. Lee

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Prof. W.B. Lee is Director of the Knowledge Management Research Centre of The Hong Kong Polytechnic University.    Prof. Lee is the editor of the Journal of Information and Knowledge Management Systems, and International Journal of Knowledge and Systems Science. He established the Knowledge Solution Laboratory, the first of its kind in Hong Kong and has pioneered research and practice of knowledge management and knowledge audit in various organizations.  Prof. Lee and his team have launched Asia’s first on‑line MSc. Program in Knowledge Management.  His research interest  includes manufacturing systems, knowledge management, organizational learning and intellectual capital‑based management.


The 7th International Conference on Intellectual Capital, Knowledge Management & Organizational Learning (ICICKM 2010) was hosted by the Knowledge Management Research Centre ,The Hong Kong Polytechnic University, Hong Kong, China, the first time in Asia.

The conference is well attended by more than 100 delegates from over 30 countries and regions.  This conference series is unique in the sense that it unifies all the important themes in this multidisciplinary area which can be pursued from either the knowledge management, intellectual capital management or organizational learning perspectives or any combinations of them.  The relationship between these themes is important. It is  only  through  the effective management of our knowledge assets  and the continuous  learning   of   individuals, teams and  organization  that we  are able to build the intellectual capital which is the underlying power driving corporation’s future growth.

Apart from the rich tacit knowledge exchange among delegates during the conference, the conference proceedings give a good record of papers delivered at the conference. Our thanks and appreciation go out to all those who presented papers and participated in the conference. Feedback to date from delegates and participants has been extremely positive. The support from departments within the University and our session Chairs and Keynote speakers is gratefully acknowledged. We also recognize the efforts of both the Executive and Conference Committees for their contribution to the double blind peer review process. Based on the input of the session chairs, we are able to select 10 papers of these to be published in this electronic Journal.  These cover a lot of topics including KM models, strategy, innovation, organizational leaning, and intellectual capital measurement, and provide various new insights to the readers.

Grant started by asking the question if knowledge Management (KM) is just another fab.   Through the lens of management fashion theory and a good review from bibliometric evidence he assures us that KM is unlike other management themes and is an enduring management activity. However, there is a potential conflict between the interests of practitioners and researchers. With different perspectives and prescriptions, Imani furthers the discussion by examining the KM strategy in 18 global companies and finds out how they are linked to the business strategy, which are either formulaic (to support routine activities) or embryonic (to address corporate strategic agenda).  On the other hand, Tan and Nasurdin focus on the influence of KM effectiveness on innovation in 171 large manufacturing firms in Malaysia and find out that the effectiveness of knowledge acquisition has a positive influence on both the technological and administrative (organizational) innovation. 

Another issue of concern to researchers in this conference is on how knowledge management  is linked to business performance and its evaluation. These findings and observations are reinforced in a study conducted by Rabhi in Saudi Arabia on the effect of KM on the Key Performance Indicators (KPIs), including customer satisfaction, business savings and projects completed. Tiago et al. studied the relationship between the knowledge management and eBusiness activities by applying a structural equation model in a large database of KM activities of European and American firms. In a study of performance of a Quality Assurance Department conducted by Chan in an electronic factory, the performance of the quality management processes is related to the intellectual capital involved which is captured from a knowledge audit of the plant.

De Alvarenga Neto and Vieira from their Brazil experience described the four main components of KM Model in a Brazilian research  cooperation, that is, strategy, the environment (from social, information, cognitive and business), tool boxes, and  tangible and intangible outputs, and concluded that  for the model to be useful it should be collaboratively built  among  organization units instead of one from top‑down. Inter‑organizational and organizational learning has been recognized to be important for knowledge creation. Laursen, based on an empirical study of four organizational development projects at four Danish high schools revealdifferent perspectives on the projects set up by the staff and the management and how the perspectives have consequences  on what is actually learned by individuals as well as the whole organization.  As team learning and performance is closely related to the shared mental models of the team members, Zou and Lee explored the shared mental model of eight sigma project teams through collective sensemaking workshops conducted in an electronics factory in China. It was found that a high performance team perceived stronger interrelatedness between key teamwork concepts than average teams did.  An area that has been less studied is the effect of age diversity on knowledge transfer in workplace, which roots from the retirement of baby boom generation in many mature organizations. Wang and Dong undertook a study on some basic questions in intergenerational knowledge transfer such as analysis framework and transfer mechanism from a sociological perspective.  

Despite the diversity of topics they all tend to address on how KM performance is related to business goals, how the effectiveness is evaluated and how organizational learning takes place,  one feature of all these papers is that they all have data to support their cases and cut across various countries and cultures.  I hope this special issue serves as a timely and updated reference for the KM, IC and OL professions.


Keywords: Action Research, administrative innovation, BA, bibliometric analysis, data, development projects, educational partnerships, Embrapa, embryonic KM strategy, enabling contexts, , formulaic KM strategy, group quality assurance, human resource management practices, IC value tree, implementation of knowledge , innovation diffusion, innovative teaching, intellectual capital, intellectual capital statement, KM strategy, KM strategy as social practice, know-how, knowledge management effectiveness, knowledge management, , knowledge-based view of organizations, KPI, link between KM and business strategy, Malaysian manufacturing firms , management fashion, metrics, organizational coaching, organizational concepts, organizational learning, practicum, process innovation, product innovation, reflective practitioner, statistics, sustainable, taxonomy, the SET KM model, transfer of training, value added quality management processes, workplace development,


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