15 Chapter 2 Evolution of IC Science and Beyond Leif Edvinsson Lund University, Sweden & The Hong Kong Polytechnic University, Hong Kong ABSTRACT Today we are bombarded by information and news signals, including health, meteorological, and financial issues. The interpretation of many of these signals will call for a new dimension of Systems Science for enterprises and society, which can be called Intellectual Capital (IC) Science. This article will look into the evolution of IC Science during the past 20 years and emerging signals for its future applications. INTRODUCTION We are on the edge to something in the World Economy. But what? Can system science give another holistic understanding? What is the core of the new actuality? Recently we have seen the problems and failures as signals of emerging new realities. Famous cases from the financial sector are Fannie Mae, Lehman Brothers in the United States, UBS in Switzerland, Royal Bank of Scotland in UK, and many more. DOI: 10.4018/978-1-4666-1782-7.ch002 There are also very prominent and interesting positive cases like Microsoft, Google, Skype, and IKEA. Is there a new type of value chain? Perhaps, as stated by late professor Richard Normann, this value chain can be reframed into a new Value Constellation (Normann, 2001) or an inverted value chain as suggested by research from among others E. Ossiansson, Gothenburg University, Sweden. It is time to both observe the signals and tentative pattern. For this we need to phrase a kind of Quizzics that will help us to see and understand what is happening from several perspectives—a holistic intelligence for better Knowledge Navigation. Knowledge Navigation might be seen as Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Evolution of IC Science and Beyond a way to remove the barriers and obstacles in uncovering new opportunity spaces and the many doors around. The problems we are facing are also calling for another ecological approach to economics, not just harvesting maximum. For the IC we need to go to the epistemological dimensions, meaning that IC stands for Derived Insights about the most important /Head Value for our Future. IC can then be differentiated to different types such as Intellectual Capability, Intellectual Capacity, Intellectual Competencies, etc. If knowledge is not just in our heads or an object, but seen as a relationship, we need to discover new ways for navigating into the unknown, especially related to the intangibles, to be able to develop a universe of not value chains but value stars, as stated by late R. Normann. Will the Knowledge Era be replaced by some other era? Early signs indicate that we are moving into more and more intangible perspectives; therefore, the next era might be called the Mind Era, according to Professor Csaba Varga, at the Institute of Strategic Research in Budapest, Hungary (Varga & Ugrin, 2008). Will there emerge on the national level some new dimensions of knowledge democracy? Emerging research and prototyping is already under way in Hungary, Croatia, UK and many other places. This could be another interesting space for Systems Science, and for societal innovations. Knowledge Navigation is a complex and compounded challenging issue, especially when the global knowledge flow, like multiple waves at the sea is rolling in on the beach every 24 hour. At Lund University the late professor Stefan Dedijer inspired a starting point for the subject on Quizzics—the art and science of questioning. This is a fundamental dimension for both the navigation in the knowledge based economy as well as the future. A good question is triggering the brain to develop new connections or synapses. A good question might be more focused on whom than what, i.e. relationship rather than object. 16 Intellectual Capital (IC) The use of images has become part of the pedagogy of Knowledge Leadership. One of the very first images, but still valid, is the tree of knowledge (Figure 1), which illustrates the holistic perspective and ecosystem of Intellectual Capital (IC) as well as its hidden dimensions. In this tree, the fruits are highlighted as assets, based on a flow through the tree of nutrition based on the capabilities of the roots. The soil is the enabling cultural context for continuous renewal and knowledge growth (Edvinsson & Malone, 1997). However, two major dimensions related to the Knowledge Era can be added—a time line as well as logic. The time line is the present surrounded by the past and the future. The logic is based on, among others, research from Professor Karl-Erik Sveiby, with Human Capital, Organizational Capital and Relational Capital (Sveiby, 1997). IC is then, from a systems science perspective, a larger concept, as well as containing the concept of Intellectual Property (IP) and IP Rights, which are legally packaged and protected intangible assets. Furthermore, if the perspective is to prepare for the future, then the tree dimensions might be turned upside down, to amplify the strategic perspective shift of this cultivating ecosystem, as illustrated below. This is also closely related to the way the word Intellectual Capital is written in Chinese, where the meaning of capital is close to the meaning of the roots and ground. This will take us to the Quizzics of understanding different levels of IC, IC of the human being, i.e., Human Capital. Here the deeper understanding of Neuroscience and Brain Research will give further insights. Here we also find the intangibles of values, and thought patterns, with questions around the correlation of wealth and values. On the macro perspectives we are facing the deeper understanding of IC of nations, such as the evolution of Singapore and Finland versus Indonesia and China. But also IC of cities and 11 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/chapter/evolution-science-beyond/68208?camid=4v1 This title is available in InfoSci-Books, InfoSci-Intelligent Technologies, Science, Engineering, and Information Technology, InfoSci-Computer Science and Information Technology. Recommend this product to your librarian: www.igi-global.com/e-resources/library-recommendation/?id=1 Related Content Adaptive Modeling of Routing Algorithms for Wireless Sensor Networks Marcello Cinque and Catello Di Martino (2010). 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