Emerging Trends in Technological Innovation

1. Front Matter

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2. Part 1: Enterprise Networks and Strategic Alignment

   1. Front Matter

      Pages 1-1

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   2. Applying Causal Reasoning to Analyze Value Systems

      • Patrícia Macedo, Luis M. Camarinha-Matos

      Pages 3-13

   3. Assessment of the Willingness to Collaborate in Enterprise Networks

      • João Rosas, Luis M. Camarinha-Matos

      Pages 14-23

   4. Business and IS/IT Strategic Alignment Framework

      • Llanos Cuenca, Angel Ortiz, Andres Boza

      Pages 24-31

3. Part 2: Issues in Information Systems

   1. Front Matter

      Pages 33-33

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   2. Introduction of Empirical Topology in Construction of Relationship Networks of Informative Objects

      • Hesam T. Dashti, Mary E. Kloc, Tiago Simas, Rita A. Ribeiro, Amir H. Assadi

      Pages 35-43

   3. The TSTS Method in Cultural Heritage Search

      • Mirosław Stawniak, Wojciech Cellary

      Pages 44-51

   4. Representing User Privileges in Object-Oriented Virtual Reality Systems

      • Adam Wójtowicz, Wojciech Cellary

      Pages 52-61

   5. Survey of Media Forms and Information Flow Models in Microsystems Companies

      • Christopher Durugbo, Ashutosh Tiwari, Jeffery R. Alcock

      Pages 62-69

4. Part 3: Collaborative Networks Support

   1. Front Matter

      Pages 71-71

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   2. The Virtual Enterprise from a Governance Perspective

      • David Romero, Ana Inês Oliveira, Luis M. Camarinha-Matos, Arturo Molina

      Pages 73-82

   3. Negotiation and Contracting in Collaborative Networks

      • Ana Inês Oliveira, Luis M. Camarinha-Matos

      Pages 83-92

   4. Pro-Active Asset Entities in Collaborative Networks

      • Tiago Cardoso, Luis M. Camarinha-Matos

      Pages 93-102

5. Part 4: Assessment and Decision Support

   1. Front Matter

      Pages 103-103

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   2. Qualitative Model for Risk Assessment in Construction Industry: A Fuzzy Logic Approach

      • Abel Pinto, Isabel L. Nunes, Rita A. Ribeiro

      Pages 105-111

   3. Decision Support for Life-Cycle Optimization Using Risk Assessment

      • Maria Marques, Rui Neves-Silva

      Pages 112-121

   4. A Clinical Decision Support System for Breast Cancer Patients

      • Ana S. Fernandes, Pedro Alves, Ian H. Jarman, Terence A. Etchells, José M. Fonseca, Paulo J. G. Lisboa

      Pages 122-129

6. Part 5: Evolvable Factory Automation

   1. Front Matter

      Pages 131-131

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   2. Evolvable Production Systems: Mechatronic Production Equipment with Evolutionary Control

      • Antonio Maffei, Mauro Onori, Pedro Neves, José Barata

      Pages 133-142

Identifying Emerging Trends in Technological Innovation Doctoral programs in science and engineering are important sources of innovative ideas and techniques that might lead to new products and technological innovation. Certainly most PhD students are not experienced researchers and are in the process of learning how to do research. Nevertheless, a number of empiric studies also show that a high number of technological innovation ideas are produced in the early careers of researchers. The combination of the eagerness to try new approaches and directions of young doctoral students with the experience and broad knowledge of their supervisors is likely to result in an important pool of innovation potential. The DoCEIS doctoral conference on Computing, Electrical and Industrial En- neering aims at creating a space for sharing and discussing ideas and results from doctoral research in these inter-related areas of engineering. Innovative ideas and hypotheses can be better enhanced when presented and discussed in an encouraging and open environment. DoCEIS aims to provide such an environment, releasing PhD students from the pressure of presenting their propositions in more formal contexts.

• Alignment
• algorithms
• calculus
• cooperative robotics
• energy systems
• logic
• manufacturing systems
• modeling
• optimization
• risk assessment
• robotics
• sensorial perception
• signal processing
• systems control
• systems modelling

• Faculty of Sciences and Technology, New University of Lisbon, Caparica, Portugal

  Luis M. Camarinha-Matos, Pedro Pereira, Luis Ribeiro

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