Innovation through virtual communities of Practice: motivation and constraints in the knowledge-creation process

Communities of Practice are places which provide a sound basis for organizational learning, enabling knowledge creation and acquisition thus improving organizational performance, leveraging innovation and consequently increasing competitively. Virtual Communities of Practice (VCoP‟s) can perform a central role in promoting communication and collaboration between members who are dispersed in both time and space. The ongoing case study, described here, aims to identify both the motivations and the constraints that members of an organization experience when taking part in the knowledge creating processes of the VCoP‟s to which they belong. Based on a literature review, we have identified several factors that influence such processes; they will be used to analyse the results of interviews carried out with the leaders of VCoP‟s in four multinationals. As future work, a questionnaire will be developed and administered to the other members of these VCoP‟s

Learning to manage in knowledge based organizations: the role of portfolios

Paper presented at the 8th European Conference on Knowledge Management, Barcelona, 6-7 Sep. 2008 URL: http://www.academic-conferences.org/eckm/eckm2007/eckm07-home.htm

The Interpretation of Verbal Probability Expressions Used in the IAS/IFRS: the auditors Rrgistered with the portuguese securities market commission

One of the main arguments in favour of the adoption and convergence with the international accounting standards published by the IASB (i.e. IAS/IFRS) is that these will allow comparability of financial reporting across countries. However, because these standards use verbal probability expressions (v.g. “probable”) when establishing the recognition and disclosure criteria for accounting elements, they require professional accountants to interpret and classify the probability of an outcome or event taking into account those terms and expressions and to best decide in terms of financial reporting. This paper reports part of a research we carried out on the interpretation of “in context” verbal probability expressions used in the IAS/IFRS by the auditors registered with the Portuguese Securities Market Commission, the Comissão do Mercado de Valores Mobiliários (CMVM). Our results provide support for the hypothesis that culture affects the CMVM registered auditors’ interpretation of verbal probability expressions through its influence on the accounting value (or attitude) of conservatism. Our results also suggest that there are significant differences in their interpretation of the term “probable”, which is consistent with literature in general. Since “probable” is the most frequent verbal probability expression used in the IAS/IFRS, this may have a negative impact on financial statements comparability.

Some translation difficulties in the use of false friends in english

This paper will focus on some aspects of translation based on blending distinct linguistic domains such as English Language and Portuguese in using false friends in the English class in tertiary level students, reflecting namely on: 1. the choice of a word suitable to the context in L2 ; 2. the difficulties encountered by choice of that word that could be misleading, by relying in a false L1 reality that is going to adulterate reality in the L2 domain; 3. the difficulty in making such type of distinctions due to the lack of linguistic and lexical knowledge. 4. the need to study the cause of these difficulties by working, not only with their peers, but also with their language teacher to develop strategies to diminish and if possible to eradicate this type of linguistic and, above all, translation problem by making an inventory of those types of mistakes. In relation to the first point it is necessary to know that translation tasks involve much more than literal concepts ( Ladmiral, 1975) : furthermore it is necessary and suitable to realise that lexicon relies in significant contexts (Coseriu 1966), which connects both domains, that, at first sight do not seem to be compatible. In other words, although students have the impression they dominate lexicon due to the fact that they possess at least seven years of foreign language exposure that doesn’t mean they master the particularities engaged in such a delicate task as translation is concerned. There are some chromaticisms in the words (false friends), that need to be researched and analysed later on by both students and language teachers. The reason for such state of affairs lies in their academic formation, of a mainly general stream, which has enabled them only for knowledge of the foreign language, but not for the translation as a tool as it is required only when they reach the tertiary level. Besides, for their translations they rely, most of the times, on glossaries, whose dominant language is portuguese of Brazil, which is, obviously, much different from the portuguese mother tongue reality and even more of English. So it seems necessary to use with caution the working tools (glossaries) that work as surpluses, but could bring translation problems as we will see.

Sociological and philosophical aspects of human interaction with technology: advancing concepts

It is not possible to imagine our lives today without technology. From the moment we get up in the morning until the time that we go to bed at night, technology is present in almost every moment, even if we are not aware of it. Some of the most basic activities we need to perform regularly could not be carried out without technology. Sociological and Philosophical Aspects of Human Interaction with Technology: Advancing Concepts presents a careful blend of conceptual, theoretical and applied research in regards to the relationship between technology and humans. This book explores the importance of these interactions, aspects related with trust, communication, data protection, usability concerning organizational change, and e-learning. The advancement of these theories and practices will benefit from this publication as it provides a voice for the users.

Recollections of a conference interpreter: a brief encounter with the European Parliament

Polissema: Revista de Letras do ISCAP 2001/N.º 1- Tradução

Language and trade: the (new) route of portuguese in the 21st century

Globalisation has eliminated frontiers and in the case of Europe helped the crossing of borders and changed forever the concept of social (and I would also say individual) geography: the rest of the world is out there; we can pretend not to see it, but we cannot avoid it. Moreover, Europe is undergoing a serious crisis, also economic, and new markets and business partners are welcome. In this context, cultural bonds like a common language can open new investment paths and give rise to successful stories. In this paper we intend to present an example of how low linguistic distance can lead to good business, even if a) in the internationalization process of the companies’ language is often forgotten as a management element and b) consumers of language products (like User Guides) are also not stimulating investment in language by the companies. Through the results of 2 studies carried out in 2010 and 2011 we will show how a pluricentric language like Portuguese is managed in multinational companies (MC) and Small and medium Enterprises (SMEs). The second study is based on an online survey questioning the effectiveness, efficiency and general quality of User Guides and the reaction of consumers to language. Results show that although playing a role in the internationalization process of companies in the same linguistic space, language is opportunistically used. On the other hand, Portuguese and Brazilian consumers show a very functional perception of the Portuguese language...

The influence of relationship quality and culture in the relations between exporter and distributor : the case of portuguese exports to Angola

The objective of this research is to investigate the role of the relationship quality, cooperation and culture between Portuguese companies and their export market intermediaries in Angola. In particular, we aim to understand the importance that the quality of the relationship has in cooperation and the role of cultures in export activities. An important aspect of this study is precisely the fact that it includes an African country, where, in terms of the literature, there is a strong lack of studies. In terms of methodology we opted for qualitative analysis; we present the results of two case studies of Portuguese exporting companies and one case study of Angolan intermediate. In general, the results are that the business relationships are characterized by trust, commitment, cooperation, culture, similar values, as in the past, Angola belonged to Portugal there is easy communication because both countries share the same. Such factors will influence the trade relations between Portuguese exporters and their Angolan distributors.

Entropy analysis of DNA code dynamics in human chromosomes

Deoxyribonucleic acid, or DNA, is the most fundamental aspect of life but present day scientific knowledge has merely scratched the surface of the problem posed by its decoding. While experimental methods provide insightful clues, the adoption of analysis tools supported by the formalism of mathematics will lead to a systematic and solid build-up of knowledge. This paper studies human DNA from the perspective of system dynamics. By associating entropy and the Fourier transform, several global properties of the code are revealed. The fractional order characteristics emerge as a natural consequence of the information content. These properties constitute a small piece of scientific knowledge that will support further efforts towards the final aim of establishing a comprehensive theory of the phenomena involved in life.

Determination of electricity consumers’ load profiles via weighted evidence accumulation clustering using subsampling

With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity consumers. A fair insight on the consumers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In order to form the different consumers’ classes, and find a set of representative consumption patterns we use electricity consumption data from a utility client’s database and two approaches: Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) for combining partitions in a clustering ensemble. While EAC uses a voting mechanism to produce a co-association matrix based on the pairwise associations obtained from N partitions and where each partition has equal weight in the combination process, the WEACS approach uses subsampling and weights differently the partitions. As a complementary step to the WEACS approach, we combine the partitions obtained in the WEACS approach with the ALL clustering ensemble construction method and we use the Ward Link algorithm to obtain the final data partition. The characterization of the obtained consumers’ clusters was performed using the C5.0 classification algorithm. Experiment results showed that the WEACS approach leads to better results than many other clustering approaches.

ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

Optimal location of gas supply units in natural gas system network

Natural gas industry has been confronted with big challenges: great growth in demand, investments on new GSUs – gas supply units, and efficient technical system management. The right number of GSUs, their best location on networks and the optimal allocation to loads is a decision problem that can be formulated as a combinatorial programming problem, with the objective of minimizing system expenses. Our emphasis is on the formulation, interpretation and development of a solution algorithm that will analyze the trade-off between infrastructure investment expenditure and operating system costs. The location model was applied to a 12 node natural gas network, and its effectiveness was tested in five different operating scenarios.

Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres

This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.

Cyber-physical intelligence in the context of power systems

Cyber-Physical Intelligence is a new concept integrating Cyber-Physical Systems and Intelligent Systems. The paradigm is centered in incorporating intelligent behavior in cyber-physical systems, until now too oriented to the operational technological aspects. In this paper we will describe the use of Cyber-Physical Intelligence in the context of Power Systems, namely in the use of Intelligent SCADA (Supervisory Control and Data Acquisition) systems at different levels of the Power System, from the Power Generation, Transmission, and Distribution Control Centers till the customers houses.