Successful managers focus their attention on factors that are critical in establishing and maintaining an organisation's competitive edge. The knowledge and skill of employees is one of those factors and it requires proactive management attention. Conceptually, this is achieved through Knowledge Management, a term that has existed in the mainstream of business lexicon for quite some time. Despite this, there is the conspicuous absence of a common understanding of the term that frustrates many managers. Studies have clearly established that there are three interdependent and complementary pillars that support the concept of Knowledge Management. These are Organisational Learning Management (OLM), Organisational Knowledge Management (OKM) and Intellectual Capital Management (ICM). OLM, which has so far dominated both academic and practitioner debate, concerns itself with the problem of capturing, organising and retrieving explicit knowledge, or information, and has led to the simplistic misconception that Knowledge Management only involves the capture, or downloading, of the content of employees' minds. ICM is dominated by those particularly interested in defining key performance indicators that will measure the impact and the benefits of applying knowledge management practices. If management requires measurement this is an essential task but it can only be undertaken once an organisation has clearly established the strategy‑structure‑process parameters to ensure it accesses, creates and embeds the knowledge that it needs...the OKM pillar of knowledge management. This paper looks more deeply at this pillar and in particular the lack of a general integrative approach to enhancing organisational performance in this key strategic area. It considers to what extent such an approach may help an organisation more effectively manage its most relevant source of competitive advantage. With a greater awareness of the various factors allied to the managing and leveraging of human oriented and system oriented knowledge assets, some proposals are put forward to assist in developing or redefining an organisation's intellectual capital reporting models in search of a planning, control and performance measurement system that accounts for the management of an organisation's intellectual assets.
Keywords: organisational learning management, organisational knowledge management, intellectual capital management, performance indicators, competitive advantage
Understanding Personal Knowledge Development in Online Learning Environments: An Instrument for Measuring Externalisation, Combination and Internalisation pp39-47
This paper investigates personal knowledge development in online learning environments using the perspective of a model adapted from Nonaka and colleagues’ SECI model. To this end, the SECI model, which was originally designed to describe organisational knowledge creation and conversion, was adapted to conceptualise personal knowledge development in online learning at the individual level. As the SECI model was originally conceived at the organisational level, in order to measure personal knowledge development at the individual level in the context of online learning, a measurement instrument was created in order to measure the scores of individual online learners on Externalisation, Combination and Internalisation. It is argued that Socialisation is not a relevant mode in the context of online learning and is therefore not covered in the measurement instrument; this is explained further in the paper. This measurement instrument also examines the interrelationships between the three modes and a new model – the so‑called EC‑I model – is proposed to depict these interrelationships. The measurement instrument is based on data collected through an online survey, in which online learners report on their experiences of personal knowledge development in online learning environments. In other words, the instrument measures the magnitude of online learners’ Externalisation and Combination activities as well as their level of Internalisation, i.e. the outcomes of their personal knowledge development in online learning. For Externalisation and Combination, formative indicators were used, whereas for Internalisation reflective indicators were used. The measurement instrument is one of the main foci of this paper and is therefore discussed in‑depth. In sum, the paper proposes a modified version of the SECI model, extending the applicability of the original SECI model from the organisational to the individual level. It outlines a new measurement instrument which can be used to measure Externalisation and Combination, i.e. personal knowledge development processes, and Internalisation, i.e. personal knowledge development outcomes.
Keywords: personal knowledge development, SECI model, EC-I model, measurement instrument, measurement indicators, online learning
New Insights for Relational Capital pp167-182
Abstract: In this paper, we concentrate on relational capital, manifestation of the old adage ⠀it is not what you know but who you know⠀. We propose that in this networked world, the importance of relationships between multiple stakeholders created by key personnel and financing becomes fundamental, and hence understanding and measuring those becomes fundamental, too. Accordingly, we highlight that there is a need to go beyond social, individual or personal relationships and organizational context, as well as beyond the limitations of the dyadic (one actor to one actor) view on relationships. Hence, we are introducing the ecosystem as the context for measuring relational capital. This paper builds on a construct of ecosystemic relational capital, cr eated for understanding and measuring the importance of relationships in the context of ecosystems. It looks at the totality of relationships both at organizational level and at individual level, measuring the structures and characteristics related to ind ividuals, organizations as well as the ecosystem as a whole (Still et al. 2014a). We acknowledge that the initial framework emphasizes the ⠜networking capabilities⠀ element of relational capital, with less attention to the element of ⠜customer loy alty and reputation⠀, which is the motivation for building on the construct. The processes of ecosystemic relational capital are already seen to be built on the possibilities afforded by the volumes of digital data, mostly from social media, providing d etails on the relationships between various actors related to various regions, sectors, technologies and products. However, we propose enhancing the holistic integration for better understanding and measuring of relational capital with the application of methods of social network analysis (SNA), network visualizations and social media analytics. In this paper, we present concrete examples of the enhanced framework. At the same time, we acknowledge that there are many other avenues for obtaining novel in sights for relational capital with these analytics
Keywords: innovation ecosystems, relational capital, social capital, visual ecosystem analytics, social network analysis, social media analytics, innovation indicators
Volume 7 Issue 4, ECIC 2009 / Jul 2009 pp397‑534
European Conference on Intellectual CapitalIntroduction
Today, almost 80% of economic value creation is based on intellectual resources. However, most organisations still do not know how to reveal the value of these resources and how to give direction to future value creation. The concept of intellectual capital gives intangible reources ‘a body’ and therefore makes it possible to measure, communicate and interpret them.
In June 1999 The Netherlands hosted the OECD international symposium on: ”Measuring and reporting intellectual capital; experiences, issues, and prospects”. This symposium turned out to be a milestone in the development of the intellectual capital movement. For the first time in history researchers and practitioners from all over the world joined together to discuss the progress made in the field of measurement and reporting of intellectual capital. Many of today’s IC initiatives are rooted in this OECD symposium (e.g. Danish Guideline, the MERITUM project and others). In 2009 it is ten years since this groundbreaking symposium took place and it is time to take stock of the developments over the last ten years. What progress did we make in raising awareness, developing robust measurement and reporting methods, and helping organisations to better manage their IC?
In April 2009 our Centre for Research in Intellectual Capital (CRIC) hosted the International Conference on Intellectual Capital (ECIC) in collaboration with Academic Conferences Ltd. The aim of this conference was to give a state‑of‑the‑art overview of intellectual capital measurement and management and contribute to the further advancement of IC theory and practice. The congress – which took place in Haarlem, The Netherlands – was attended by 150 participants from 37 countries. Based on almost 70 papers, we designed a conference program that consisted of more than 90 sessions. This special issue is based on a selection of the best papers of our conference.
In our call for papers we invited researchers, practitioners and academics to present their research findings, work in progress, case studies and conceptual advances in the field of intellectual capital (IC) measurement and management.
From the main program of the conference we included two papers in this special issue. First, the paper by Durst and Gueldenberg, The meaning of intangible assets: new insights into company succession in SME’s. This paper was selected as best paper. This paper sheds an important new light on a growing problem within the European Union. It is based on the state of the art in IC theory, it uses a well describes mixed‑method methodology, contains a good discussion section that shows the importance but also some of the limitations of the research. The European Commission estimates that one third of all EU entrepreneurs will leave within the next ten years and the changing demography of the EU will reduce the pool of potential successors. This paper shows intangible assets have a remarkable influence on the external successor’s decision making, in particular brand, partners, key‑employees, knowledge retention and corporate culture. The second paper is a by Van Winkelen and McKenzie, Using scenarios to explore the potential for shifts in the relative priority of human, structural and relational capital in generating value. [samenvatten]
Special trends in the field
In addition to the general papers, the conference included papers on the following trends that we see in intellectual capital theory:
1. Benefits and limitations of the intellectual capital metaphor
2. Intellectual capital of nations, regions and cities
3. Social capital
4. The dynamics of intellectual capital
5. Intellectual capital for universities and research organisations
6. Measuring the effect of knowledge management
7. Measuring and reporting intellectual capital
8. IC centres across the globe
The mini track on the benefits and limitations of the IC metaphor resulted in five papers. The starting point of this mini track was that the concept of intellectual capital (IC) is based on the metaphor “Knowledge as Capital” (Andriessen, 2008). The way this works is that characteristics of the source domain of capital are used to describe the target domain of knowledge. These characteristics of capital include: capital is valuable and important, capital is an asset for the future and not an expenditure, capital can be capitalized, capital allows for a return and capital resonates with managers and CFO’s. In this track we explored the benefits and the limitations of capital as a metaphor for knowledge and other intangibles. From this track we included three papers: Andriessen et al., Pictures of Knowledge Management, developing a method for analyzing knowledge metaphors in visuals; Andriessen and Van den Boom, In search of alternative metaphors for knowledge: inspiration from symbolism; and Bratianu, The frontier of linearity in the intellectual capital metaphor.
The second mini track about IC of nations, regions and cities also generated five papers. Intellectual capital of nations is the concept that applies the principles of intellectual capital measurement on a macro‑economic level (Bonfour and Edvinsson, 2005). The main motivation for measuring the IC of nations is to get insight into the relative advantage of countries or regions. This insight should help to develop policy in order to give direction to future economic developments. From this track we included two papers in this special issue: Stam and Andriessen, Intellectual capital of the European Union 2008; and Yodmongkon and Chakpitak, Applying intellectual capital process model for creating a defensive protection system to local traditional knowledge: the case of Mea‑hiya community.
The third mini track about social capital included seven papers. Social capital in the form of networks of trust has value for individuals, teams and organizations. It is an indicator for economic success, measurable through constructs like trust, reciprocity, shared norms and values. Social capital is a popular paradigm in organizational studies. The use of social capital theory in the fields of business studies has increased exponentially in recent times. It offers new insight in explaining organisational dynamics, knowledge sharing, learning processes and innovation. While there is an extensive body of knowledge on the benefits of social capital, less attention has been paid to understanding how and why social capital evolves within organisational settings. It is interesting to gain insights into why social capital changes and what the effect is on knowledge sharing, knowledge productivity, learning processes and innovation. From this track we included one paper in this special issue: Tamilina, The impact of welfare state development on social trust formation: an empirical investigation.
The fourth mini track about The Dynamics of IC included four papers. Value in organizations is not created by intellectual assets as such, but by combining intellectual assets in a dynamic process (Andriessen, 2004). According to Kianto (Kianto, 2007), the dynamic dimension of IC relates mainly to three issues: 1) practice‑based approach to IC; 2) dynamics of IC‑based value creation; and 3) renewal, change and innovation of IC.
The fifth mini track about IC for universities and research organizations generated seven papers. In recent years, IC management and reporting have gained importance for research organisations and universities across Europe. Some university departments and research organisations have implemented IC reports and Austrian universities are even obliged by law to publish IC reports. IC management systems provide comparable information for the universities’ management but also for external stakeholders such as industrial partners or science and education policy. However, to exploit its potential in this sector, the specific characteristics of the science, research and innovation process should be addressed. IC management systems should enhance strategic development, innovativeness and knowledge sharing within research institutions and have to be linked to other instruments and tools for management and governance such as evaluation, performance measurement, and benchmarking.
The sixth mini track about measuring the effect of knowledge management included eight papers. A large variety of methods, models and practices for managing an organization’s knowledge assets have been produced by academics and practitioners. There are even different fields of research, e.g. knowledge management, intellectual capital and business intelligence, focusing on different types of knowledge and information management tasks. It seems clear that there is a need for many of these managerial tools. Also, it seems likely that the utilization of these tools would result in concrete business benefits. However, there is so far limited evidence of the actual impacts of knowledge management activities. In addition, it is not clear which management approach would provide the best results in a specific case. From this track we included the paper by Kujansivu and Lonnqvist, Measuring the effects of an IC development service: Case Pietari Business Campus.
The seventh mini track about measuring IC generated 13 papers. The measurement and assessment of intellectual capital and intangible assets is one of the most important and challenging issues for research and practice today. Many argue that without measures we can know nothing and understand nothing. Without measures we can’t do any research, organizations can’t manage their intangibles and they can’t produce meaningful IC statements. However, when it comes to measurement we are facing a real dilemma: we can’t really measure our intangibles in the same way we can measure tangible aspects of performance. When it comes to intangibles we often have to rely on proxy measures or need to find new ways of measuring performance (Marr, 2005). This in turn has important implications of how we can use those measures. From this track we included the paper by Cabrilo, IC‑based inter‑industry variety in Serbia. During the conference this paper received an honourable mention. The author of this paper comes from a research group that is very actively promoting intellectual capital within their developing country. She has produces some important contributions in the past. This paper gives us important new insights into the differences between industries regarding the importance of several intellectual capital components. The author was able to collect data from 642 managers from 80 firms with a response rate of 90% (!) making full use of her teams’ relational capital.
The eight mini track about IC centres across the globe included five papers. In more and more countries organisations are set up to stimulate intellectual capital management. Examples are The Arab Knowledge Economy Association, The developing China IC Support Network, CIP Gothenburg, The Hong Kong based Asia Pacific IC Centre, The IA Centre Scotland, The Indonesia IC Research Centre, InHolland University Centre for Research in IC (CRIC), Lund University IC Centre, The Taiwan IC Research Centre, The Croatian IC Research Centre, The Finland Futures Research Centre, The IP Academy of Singapore, and The Syrian Economic Business Centre. These organisations are driven in some cases predominantly by the desire to create new knowledge and in others by the desire to apply knowledge and IC to foster economic development. This track was set up to facilitate learning between people from all over the world who are involved with IC Centres. From this track we included the paper by Russel, Business model evolution in IA/IC support centres and their role in market making.
Finally, in addition to the academic mini tracks, we also organized a Doctoral Consortium. From this consortium we selected two papers for this special issue: Jaaskelainen, Identifying a suitable approach for measuring and managing public service productivity; and Kot, How to conduct the audit of intellectual capital in Polish tourism business?
Design‑based research as a promising methodology
We noticed an increase of papers that use a so called design‑based research as their research methodology (Andriessen, 2004; Van Aken, 2005; Stam, 2007). Design‑based research is a type of research methodology in which practical managerial tolls are designed and tested for their effect in real life cases. This is a powerful type of research as it addresses both the practical needs of organizations and the academic search for underlying theory. For example, the paper by Kot, included in this special issue, on How to conduct the audit of intellectual capital in polish tourism business, aims at designing an algorithm for an IC audit for Polish tourism companies that they can use to specify the IC structure and diagnose IC assets of their business. Other papers that use this methodology and that are included in this issue are the paper by Kujansivu and Lonnqvist on Measuring the effects of an IC development service: Case Pietari Business Campus, and the paper by Jaaskelainen, on Identifying a suitable approach for measuring and managing public service productivity. All three papers are good examples of how research in the field of IC can both benefit practice and academia when a Design‑Based Research methodology is used.
Andriessen, D. G. (2004), Making sense of intellectual capital, Elsevier Butterworth‑Heinemann, Amsterdam.
Andriessen, D. (2008) Stuff or Love, How metaphors direct our efforts to manage knowledge in organizations, Knowledge Management Research & Practice (2008) 6, 5–12
Bonfour, A. and Edvinsson, L. (2005), Intellectual capital for communities, Butterworth‑Heinemann. Elsevier, Oxford.
Kianto, A. (2007), ""What do we really mean by dynamic intellectual capital?"" International Journal of Learning and Intellectual Capital, Vol.4, No.4, pp.342‑356.
Marr, B. (2005), Perspectives on intellectual capital, Elsevier Butterworth Heinemann, Burlington, MA.
Stam, C. D. (2007), ""Knowledge productivity. Designing and testing a method to diagnose knowledge productivity and plan for enhancement"", Ph.D. thesis, Universiteit Twente, Enschede.
Van Aken, J. E. (2005), ""Management research as a design science: articulating the research products of mode 2 knowledge production"", British Journal of Management, Vol.16, No.1, pp.19‑36.
Keywords: analysis, business models, capital, commercialisation, community, company succession, crowding-out, de-commodification, effect, European Union, IC audit, IC monitor, Indicator, intangible assets, intangibles, intellectual assets, intellectual capital, intellectual capital development, intellectual capital of nations, intellectual capital reporting, intellectual capital value driver, inter-industry variety, knowledge, linear space, linear thinking, linearity, Lisbon goals, Lisbon strategy for growth and job, market-making, measurement, metaphors, multidimensional value measurement, nonlinearity, performance measurement, Poland, productivity management, psychological contract, public services, scenarios, Serbia, small and medium-sized enterprises, strategic management, stratification, symbolism, Thailand, tourism, traditional knowledge, trust, visuals, welfare states