2012
Authors
Brito, PQ;
Publication
COMPUTERS & EDUCATION
Abstract
The tweens are a transitional age group undergoing deep physical and psychological transformations. Based on a thirteen-focus group research design involving 103 students, and applying a tweens-centered approach, the characteristics of SMS, IM, Internet, digital photos, electronic games, and email were analyzed. Categories such as moral issues, psychological and social consequences, problems/drawbacks, general benefits, and technical attributes synthesized the main characteristics attached to each form of digital technology. Their relative relevance was not gender dependent. Furthermore, tweens exhibited both metacognitive knowledge and personal epistemological observations associated with most of the digital technologies.
2012
Authors
Brito, PQ;
Publication
Proceedings - ICIDT 2012, 8th International Conference on Information Science and Digital Content Technology
Abstract
The youngsters are technology intensive users, open to innovations and a very qualified group of consumers. They learn quickly and manage to explore more device features than adults. Ultimately, the success of many new digital technologies depends on their judgment. This research compares tweens and teens categorizations of electronic games and Internet. Assessing what attributes they consider enables engineers to and marketers to highlight the characteristics that matter to them during the development and marketing process. Methodologically this research is based on 26 focus group involving 104 teenagers and 103 tweens. A total of 55 attributes were associated with electronic games but only 29% were commonly shared with both groups of young participants. Whereas concerning Internet 46% of the 16 attributes verbalized were identical among tweens and teens. © 2012 AICIT.
2012
Authors
Vasconcelos, V; Campos, P;
Publication
Organizational Integration of Enterprise Systems and Resources: Advancements and Applications
Abstract
Web 2.0 and Enterprise 2.0 concepts offer a whole new set of collaborative tools that allow new approaches to market research, in order to explore continuously and ever fast-growing social and media environments. Simultaneously, the exponential growth of online Social Networks, along with a combination of computer-based tools, is contributing to the construction of new kinds of research communities, in which respondents interact with researchers as well as with each other. Furthermore, by studying the networks, researchers are able to manage multiple data sources - user-generated contents. The main purpose of this paper is to propose a new concept of Distributed Informal Information Systems for Innovation that arises from the interaction of the accumulated stock of knowledge emerging at the individual (micro) level. A descriptive study unveils and reports when and how market research professionals use Social Networks for their work and therefore create distributed information systems for Innovation. © 2012, IGI Global.
2012
Authors
Castro, C; Bento, MJ; Lunet, N; Campos, P;
Publication
EUROPEAN JOURNAL OF CANCER PREVENTION
Abstract
2012
Authors
Alves, P; Campos, P; Oliveira, E;
Publication
COLLABORATIVE NETWORKS IN THE INTERNET OF SERVICES
Abstract
In life, trust is considered the base of all relationships, including Business-to-Business (B2B) relationships. The selection of a supplier depends not only on its reputation and the costs involved, but also on its trustworthiness and other factors. But how can the trustworthiness of a supplier be measured? What are the factors that influence the supplier's trustworthiness, i.e., what are the relevant factors of trust in the selection of a supplier in a B2B relationship? Answers to these questions will help model the supplier agents' behavior in the multi-agent ANTE platform. In this paper we propose to consider fifteen attributes to measure the trustworthiness of a supplier as a conceptual model of trust, coming out of a combination of several determinants gathered from the literature review. Raw data was gathered by sending a questionnaire to a set of firms from different industrial sectors. The results support part of the proposed determinants, introducing new determinants of trust that resulted from exploratory factor analysis and a new model obtained from confirmatory factor analysis. With this, two possible multi-attribute supplier agents can be modeled. This paper discusses the results and limitations of this study and proposes suggestions for future work.
2012
Authors
Matos, R; Campos, P;
Publication
Proceedings of the IADIS International Conference Intelligent Systems and Agents 2012, ISA 2012, IADIS European Conference on Data Mining 2012, ECDM 2012
Abstract
In human society, the majority of individuals try to achieve objectives that are individual to them, carrying this out, in the majority of cases, in an independent manner. It has in fact been repeat edly verified that some individuals are able to function as catalysts, introducing ideas and technology that go against the ideological currents that govern their social relationships. A variety of factors can be indicated as being partly responsible for this capacity for innovation and social adaptation, one of them being the perpetuation of collective memory by means of written texts, the press, and by all the different new types of media that we have today at our disposal, and which are used by certain individuals in determined contexts to obtain some type of advantage. What effect, however, would pre judice have when a pplied to strategies of interaction in a social network? Prejudice is something that is generally considered to be pejorative. Taking the free circulation of information amongst individuals within a social network as a basic premise, would it be possible to affirm that we would always achieve improved performance of society as a whole when the collective memory is loaded with prejudice? This work attempts to provide an answer to that question, analysing the relationship between the efficiency of a social network and the memories of the individuals who make it up, when the network itself is not immune from information that is (potentially) incorrect.
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