The Electronic Journal of Knowledge Management aims to publish perspectives on topics relevant to the study, implementation and management of knowledge management
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Journal Article

Intellectual Capital and Organizational Performance: an Empirical Study of the Pharmaceutical Industry  pp357-362

Alka Bramhandkar, Scott Erickson, Ian Applebee

© Jan 2008 Volume 5 Issue 4, Editor: Charles Despres, pp347 - 550

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This paper directly measures the impact of intellectual capital management on organizational performance. Although this is an area widely studied in the literature, the nature of most of the work to date is to focus on specific aspects of intellectual capital (human, structural, or relational capital) and their individual impact on performance. This study specifically looks to identify firms that manage overall IC, whatever its nature, better than competitors. We then ask the question, do these firms actually see market results better than those of competitors? In order to do this type of analysis, we felt a need to focus on a specific industry. If wide differences do exist between industries in terms of physical capital needs and human, structural, or relational capital needs, then random firms are harder to compare. Those within a single industry, such as the pharmaceutical firms studied here, should have relatively similar structures in relation to all these needs. We collected data on 139 firms in the drugs industry. We sorted and divided the sample according to market capitalization and book value (a common measure of intellectual capital) then looked at return on assets, investment, and equity, as well as beta. By one measure, firms with the highest level of intangible assets clearly performed better than those with lower levels. The high level firms had significantly better returns and significantly less variability in stock price. According to a second measure, the results were less convincing but still lent support to further research using this methodology. So, as a first cut, this study had very promising results. We intend to repeat it for other industries, experimenting with the measures and means of cutting the data. Although industry‑specific is obviously the initial way to go, we also intend to perform some cross‑industry comparisons with the measures we develop. We believe the results of the full research program will be significant to practice and will provide substantial support to those championing better management of intangible assets within firms.


Keywords: intellectual capital, knowledge management, organizational performance, marketbook ratio, ROA, ROE, ROI, beta


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Journal Article

Knowledge Dynamics Analysis in Negotiations  pp18-29

Constantin Bratianu, Stefan Iordache

© Jan 2013 Volume 11 Issue 1, ECKM 2012, Editor: Dr Juan Gabriel Cegarra and Dr María Eugenia Sánchez, pp1 - 115

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The purpose of this paper is to present some research results we obtained in analysing knowledge dynamics during negotiation processes. For knowledge dynamics we use the semantic spectrum currently used in thermodynamics, through a metaphorical interface. In our view knowledge dynamics means complex transformations from one form of knowledge into another form of knowledge. In our research we considered the dyad containing cognitive knowledge and emotional knowledge, in the Nonaka’s oneness perspective. Cognitive knowledge is represented by the explicit or the rational knowledge. Emotional knowledge is represented by the result of processing our sensory information and integrating it into the non‑rational mind. Similar to energy, knowledge can be found in organizations and society in different forms: explicit knowledge, implicit knowledge, tacit knowledge, emotional knowledge, spiritual knowledge, symbolic knowledge. Our hypothesis is that one form of knowledge can be transformed into another form in a given Ba. Our research focused on iterative transformations of cognitive knowledge into emotional knowledge and of emotional knowledge into cognitive knowledge during negotiation processes. We designed and performed 28 experiments of simulated negotiations between an experienced negotiator and different individuals without any training in negotiations. The duration of each experiment was about 20 minutes. We videotaped all of these experiments obtaining about 9 hours of recorded negotiations. There were basically two types of negotiations: a) a typical trade negotiation, and b) a typical salary negotiation. Based on a well designed script, the experienced negotiator sent different cognitive and emotional messages to the would be employee, who has been asked to answer using both written and verbal answers. In the same time we recorded his expressions that reflected the emotional answer. By analysing the induced messages and the cognitive and emotional answers for each participant we got interesting results concerning the knowledge dynamics in the negotiation processes.


Keywords: cognitive knowledge, emotional knowledge, knowledge dynamics, microexpressions, negotiations


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Journal Issue

Volume 11 Issue 1, ECKM 2012 / Jan 2013  pp1‑115

Editor: Dr Juan Gabriel Cegarra, Dr María Eugenia Sánchez

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The Papers in this issue of EJKM were first presented at the European Conference of Knowledge Management.


The issue was edited by the Programme Chair Dr Juan Gabriel Cegarra and the Conference Chair Dr María Eugenia Sánchez



Juan‑Gabriel‑Cegarra   Maria‑Eugenia‑Sanchez
  Dr Juan Gabriel Cegarra            Dr María Eugenia Sánchez



Keywords: global social knowledge management, social software, barriers, distributed teamwork, contextualization, cultural influence, cognitive knowledge, emotional knowledge, knowledge dynamics, microexpressions, negotiations, social capital, familiness, power, experience, innovation, family business, knowledge sharing, theory of planned behaviour, affective commitment and trust, scientific collaboration, collaboratory, knowledge audit, knowledge management, scientific collaboration recommendation, knowledge base, innovation outcome, cultural barriers, healthcare organizations, phase, shipyard, naval industry, relationship, reutilization, internal and external agents, intellectual capital management, ICM, knowledge, biplot, knowledge, knowledge management, knowledge assessment framework, case study, eLoyalty, satisfaction, technology acceptance model, health care, patient, information system success models


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