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 

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Abstract: While intellectual capital (IC) as an asset is long noted, one area that has begun to attract attention is the communication of IC. The past decade of increasing global competition and economic downturns have enhanced the importance of the com munication of IC, in particular, how IC supports organizational performance (OP). Current literature on the communication of IC is limited to reporting metrics, which does not provide sufficient insights on OP. Yet, the need for the communication of IC is growing globally as investors are demanding for more non‑financial information to reflect organizations sustainability. Hence, the objectives of this study are three‑fold. First is to ascertain the prevalence of the communication of IC, where past s tudies have reported low occurrence. Secondly, the study aims to examine the communication of IC in terms of content; and finally, to investigate the correlation of the communication of IC with OP. The dataset used in this study was drawn from annual repo rts and supplementary corporate disclosure (ARS) published for FYE2011 in English by 299 banks listed on the stock exchanges globally. The communication of IC was reviewed from three angles, human capital, relational capital and structural capital; and OP encompasses business continuity, risk management and organizational productivity. Content analysis was used to evaluate the communication of IC and to highlight nuances and trends. Findings showed that the communication of IC was prevalent in more than half of the banks in the dataset, where the communication of Human Capital content was most widely reported. Smaller banks, in particular, were found to be lacking in the communication of IC. Three peculiarities were also identified, namely inclusion of information on women, importance of training to organizational productivity, and extensiveness of risk management processes in banks. The significance of this study lies in its effort to highlight relevance of the communication of IC from the perspective of IC components and its correlation to OP. 

Abstract: The field of Knowledge Management (KM) is usually described in terms of generationsŽ. First generation KM viewed knowledge as an object and was focused on the use of IT, such as databases and portals. Second generation KM was orientated towar ds people and organisations. It emphasised tacit knowledge and communities of practice. Third generation KM recognised the importance of contextual contingencies and influences in aligning KM strategies with business strategies. Most recently, scholars ha ve started to call for a new generation KM that will ensure the fields continued interest in academia and value in practice. The proponents of the new generation KM advocate the need for convergence between KM and other disciplines. Following the current trend, the purpose of this paper is to propose a new conceptual model that merges Knowledge Management (KM) with Project Management (PM). 

Abstract: An organisationâ s ability to successfully operate in a competitive environment hinges to a large extent on innovation performance. In the paper, knowledge management (KM) practices, including methods stimulating new ideas and creativity, are viewed as antecedents of innovation strategies, and variance in organisational performance is presented as a consequence of implementation of different innovation strategies. Which KM practices contribute to the emergence of the most and least sophistica ted innovation strategies? Which methods stimulating new ideas and creativity have the greatest potential in producing innovation? How is KM, via innovation strategies, related to firm performance? Where do the differences in innovation strategies and KM practices lie across countries? The paper is aimed at answering these questions and identifying KM practices typical of innovation strategies with varied levels of sophistication. Here, the sophistication depends on coherence (e.g. positive or negative, strong or weak) between the extent of an innovation strategy of an enterprise and the enterprise⠒s performance indicators. For the identification of innovation strategies, CIS8 database was used. It covers 60 innovation variables across 127,674 organiz ations from 12 core and 19 additional sectors and from 16 European economies. The innovation variables include different KM practices as well. Two firm performance indicators were also used in the research. For the identification of methods stimulating ne w ideas or creativity, CIS10 data were used. It covers six such methods; the sample includes enterprises from 24 European economies within innovation core sectors. The methods included exploratory factor analysis, correlation analysis, hierarchical cluste r analysis and k‑means cluster analysis. At each stage, the analyses were accompanied by rigorous validity and reliability tests. The originality of the paper lies in its attempt to interrelate different KM practices with not only innovation strategies an d firm performance, but national economic‑instit 

Abstract: Against the background of global competition and increasingly dynamic markets, the importance of knowledge has been growing dramatically, especially for small and medium‑sized enterprises (SME). SMEs have to be more innovative, flexible, and e fficient to successfully cope with typical challenges such as growing competition and rapidly changing demand patterns. In the past, knowledge management has been successfully implemented and developed by large enterprises in particular. In contrast, know ledge management for SME is not a matter of course yet. However, current survey results affirm that activities in the area of knowledge management depend less on the size of an enterprise or its industry, but rather on an enterprise⠒s business strategy and core competencies. In the light of these results, SMEs seem not to have disadvantages regarding the implementation of knowledge management because of their size or industry, but rather because they need to take strategic decisions to implement such so lutions and have difficulties in doing so. Against this background, the German Federal Ministry of Economics and Technology started the initiative ⠜Fit für den Wissenswettberb⠀ to support especially SMEs on the way to the knowledge society. In the co urse of the initiative, the research institutes Fraunhofer IPK and Fraunhofer IFF initiated the project ⠜ProWis ⠍ Prozessorientiertes und integriertes Wissensmanagement in KMU⠀. Within this project, researchers designed methods meeting the specific needs of SMEs allowing the implementation of process‑oriented knowledge management at reasonable efforts. Building up on the developed methods, both institutes accompanied 15 SMEs during the implementation of knowledge management and used the findings fro m these implementations to refine the methods. The results of the project are summarized in the guideline ⠜Praxisleitfaden Wissensmanagement⠀, which is freely accessible to interested parties and enables SMEs to systematically and autonomously impleme nt knowledge management. Based on the aforemen 

Abstract. As cities and regions transform from an industrial to a knowledge economy, there is a need to build new working relationships among academic, business communities, labor and workforce, civil society, and the technology sector … to create Knowle dge Cities. A Knowledge City values all kinds of knowledge, is grounded in an economy that runs on knowledge and intellectual capital, and encourages knowledge markets and transactions. The 21st century knowledge economy is dependent upon knowledge cities and regions, representing a major shift from the industrial economy. Transforming an industrial city to a Knowledge City is not a trivial task. It requires that all members of the society make the transition together. Currently, there are no institutio ns that can facilitate this role. This paper considers how a Knowledge Sciences Center might fulfill that role, and reports on the thoughts of over 200 participants of the Knowledge Sciences Symposium held in Canton, Ohio, and Washington DC in 2013. The paper also references recent initiatives to establish Knowledge Sciences Centers in the Eastern and Midwest regions of the United States. The role of a transformational leader in establishing a Center is also highlighted.