International Journal of Technology Intelligence and Planning http://www.inderscience.com/browse/index.php?journalID=105&year=2011&vol=7&issue=4 Inderscience Publishers Ltd en-uk International Journal of Technology Intelligence and Planning 1740-2832 1740-2840 © 2011 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijtip_scoverijtip.jpg http://www.inderscience.com/browse/index.php?journalID=105&year=2011&vol=7&issue=4 http://www.inderscience.com/link.php?id=45090 Principal Component Analysis (PCA) is a multivariate statistical analysis method. This method constructs a series of linear combinations of the original variables to form a new variable, so that these new variables are unrelated to each other as much as possible, to reflect information in a better way. A PCA and Back Propagation Network (PCA-BPN) approach is proposed in this study for forecasting the flow time of a job in a wafer fabrication factory, which is a critical task to the wafer fabrication factory. For evaluating the effectiveness of the proposed methodology, Production Simulation (PS) is also applied in this study to generate some test data. Hybridising PCA and BPN for job flow time forecasting in a wafer fabrication factory
Toly Chen
International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 281 - 290
Principal Component Analysis (PCA) is a multivariate statistical analysis method. This method constructs a series of linear combinations of the original variables to form a new variable, so that these new variables are unrelated to each other as much as possible, to reflect information in a better way. A PCA and Back Propagation Network (PCA-BPN) approach is proposed in this study for forecasting the flow time of a job in a wafer fabrication factory, which is a critical task to the wafer fabrication factory. For evaluating the effectiveness of the proposed methodology, Production Simulation (PS) is also applied in this study to generate some test data.

]]> 10.1504/IJTIP.2011.045090 International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 281 - 290 Toly Chen Department of Industrial Engineering and Systems Management, Feng Chia University, 100, Wenhwa Rd., Seatwen, Taichung City 408, Taiwan wafer fabrication PCA principal component analysis BPN back propagation networks flow time forecasting neural networks simulation. 2012-01-24T23:20:50-05:00 7 4 281 290 2012-01-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=45091 Firm competitiveness defines the very core of firm success or downfall. Due to the rise of the power of emerging economies, old paradigms have been challenged. Studying paradigms we build a frame for the competitive success factors of emerging economy firms. Number of successful companies from emerging markets remains few. Their competitive advantage builds on cost advantages and developing capabilities. The successful enterprises have been able to use local networks and cooperation, while aiming to internationalise first locally in their own cultural region. This has assisted them to develop a flexible and dynamic organisation. Building determinants of firm competitiveness in emerging economies
Juha J. Hinkkanen; Juha Väätänen
International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 291 - 308
Firm competitiveness defines the very core of firm success or downfall. Due to the rise of the power of emerging economies, old paradigms have been challenged. Studying paradigms we build a frame for the competitive success factors of emerging economy firms. Number of successful companies from emerging markets remains few. Their competitive advantage builds on cost advantages and developing capabilities. The successful enterprises have been able to use local networks and cooperation, while aiming to internationalise first locally in their own cultural region. This has assisted them to develop a flexible and dynamic organisation.

]]> 10.1504/IJTIP.2011.045091 International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 291 - 308 Juha J. Hinkkanen; Juha Väätänen Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, Finland. ' Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, Finland firm competitiveness competitive forces resource based view RBV emerging markets competitive advantage firm level success emerging economies local networks cooperation internationalisation flexibility. 2012-01-24T23:20:50-05:00 7 4 291 308 2012-01-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=45092 Product innovativeness is a primary contingent factor to be addressed for the development of flexible management for the front-end. However, due to complexity of this early phase of the innovation process, the definition of which attributes to customise is critical to support a contingent approach. Therefore, this study investigates front-end attributes that need to be customised to permit effective management for different degrees of innovation. To accomplish this aim, a literature review and five case studies were performed. The findings highlighted the front-end strategic and operational levels as factors influencing the front-end attributes related to product innovativeness. In conclusion, this study suggests that two front-end attributes should be customised: development activities and decision-making approach. A starting point for addressing product innovativeness in the Fuzzy Front-End
Maicon G. Oliveira; Robert Phaal; David Probert; Vitor P. Cunha; Henrique Rozenfeld
International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 309 - 326
Product innovativeness is a primary contingent factor to be addressed for the development of flexible management for the front-end. However, due to complexity of this early phase of the innovation process, the definition of which attributes to customise is critical to support a contingent approach. Therefore, this study investigates front-end attributes that need to be customised to permit effective management for different degrees of innovation. To accomplish this aim, a literature review and five case studies were performed. The findings highlighted the front-end strategic and operational levels as factors influencing the front-end attributes related to product innovativeness. In conclusion, this study suggests that two front-end attributes should be customised: development activities and decision-making approach.

]]> 10.1504/IJTIP.2011.045092 International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 309 - 326 Maicon G. Oliveira; Robert Phaal; David Probert; Vitor P. Cunha; Henrique Rozenfeld Integrated Engineering Group, São Carlos School of Engineering, University of São Paulo, Av. Trabalhador São Carlense, 400, São Carlos-SP, 13566-590, Brazil. ' Centre for Technology Management, Institute for Manufacturing, University of Cambridge, 17 Charles Babbage Road, Cambridge, CB3 0FS, UK. ' Centre for Technology Management, Institute for Manufacturing, University of Cambridge, 17 Charles Babbage Road, Cambridge, CB3 0FS, UK. ' Integrated Engineering Group, São Carlos School of Engineering, University of São Paulo, Av. Trabalhador São Carlense, 400, São Carlos-SP, 13566-590, Brazil. ' Integrated Engineering Group, São Carlos School of Engineering, University of São Paulo, Av. Trabalhador São Carlense, 400, São Carlos-SP, 13566-590, Brazil product innovation fuzzy front end attributes contingency product innovativeness flexible management decision making uncertainty case study. 2012-01-24T23:20:50-05:00 7 4 309 326 2012-01-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=45093 Innovative product development is highly dependent on new product ideas and information on the product during its complete life cycle. Especially in the automotive supplier industry, which obtains its competitive advantages by technological lead, innovation management has to analyse existing and new technologies and assess them with respect to their market success. To this aim, all the stakeholders involved throughout the complete product life cycle are valuable resources of knowledge, which are largely unexploited in current innovation management systems. A case study which links these theoretical principles with industry experiences shows that this approach can leverage company-wide sustainable innovation management. Sustainable innovation management in the automotive supplier industry
Martin Neumann; Andreas Riel; Daniel Brissaud
International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 327 - 343
Innovative product development is highly dependent on new product ideas and information on the product during its complete life cycle. Especially in the automotive supplier industry, which obtains its competitive advantages by technological lead, innovation management has to analyse existing and new technologies and assess them with respect to their market success. To this aim, all the stakeholders involved throughout the complete product life cycle are valuable resources of knowledge, which are largely unexploited in current innovation management systems. A case study which links these theoretical principles with industry experiences shows that this approach can leverage company-wide sustainable innovation management.

]]> 10.1504/IJTIP.2011.045093 International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 327 - 343 Martin Neumann; Andreas Riel; Daniel Brissaud KSPG AG, Alfred-Pierburg-Straße 1, 41460 Neuss, Germany. ' Grenoble-INP, G-SCOP UMR5272, 46 av. Félix Viallet, Grenoble, F-38031, France. ' Grenoble-INP, G-SCOP UMR5272, 46 av. Félix Viallet, Grenoble, F-38031, France innovation management sustainable innovation product life cycle knowledge management technology planning automotive suppliers automobile industry product development. 2012-01-24T23:20:50-05:00 7 4 327 343 2012-01-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=45094 Recently industrial robots are being immensely applied in almost every manufacturing or production industries for improvement of quality as well as productivity. Depending on the nature of the job to be performed, appropriate robot selection has become an important as well as challenging task for an automated manufacturing cell. Several criteria attributes are assumed to be responsible towards performance of a particular robot. Hence, a strong multi-attribute decision support model is indeed required to facilitate this evaluation and selection process. To address this issue, present work explores the concept of interval-valued trapezoidal fuzzy numbers set integrated with VIKOR method to help such a decision-making problem. Selection of industrial robot using interval-valued trapezoidal fuzzy numbers set combined with VIKOR method
Chitrasen Samantra; Saurav Datta; Siba Sankar Mahapatra
International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 344 - 360
Recently industrial robots are being immensely applied in almost every manufacturing or production industries for improvement of quality as well as productivity. Depending on the nature of the job to be performed, appropriate robot selection has become an important as well as challenging task for an automated manufacturing cell. Several criteria attributes are assumed to be responsible towards performance of a particular robot. Hence, a strong multi-attribute decision support model is indeed required to facilitate this evaluation and selection process. To address this issue, present work explores the concept of interval-valued trapezoidal fuzzy numbers set integrated with VIKOR method to help such a decision-making problem.

]]> 10.1504/IJTIP.2011.045094 International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 344 - 360 Chitrasen Samantra; Saurav Datta; Siba Sankar Mahapatra Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India. ' Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India. ' Department of Mechanical Engineering, National Institute of Technology, Rourkela 769008, India industrial robots robot selection interval-valued trapezoidal fuzzy numbers VIKOR method multiattribute decision making. 2012-01-24T23:20:50-05:00 7 4 344 360 2012-01-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=45095 This paper provides a world view on how the advent of Web 2.0 technology would distribute, democratise and pull in the wisdom of stakeholder mass and crowd, in better managing the Corporate Governance (CG) of firms. The author uses reasoning and analysis to generate the futuristic perspective of the effect of Web 2.0 on CG practices of firms. The author provides the view that because of web 2.0 more stakeholders both in number and in type would use the web to provide critical reviews regarding the Board of Director's (BoD) CG performance. Web 2.0 and the new directions in Corporate Governance practice
Som Sekhar Bhattacharyya
International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 361 - 371
This paper provides a world view on how the advent of Web 2.0 technology would distribute, democratise and pull in the wisdom of stakeholder mass and crowd, in better managing the Corporate Governance (CG) of firms. The author uses reasoning and analysis to generate the futuristic perspective of the effect of Web 2.0 on CG practices of firms. The author provides the view that because of web 2.0 more stakeholders both in number and in type would use the web to provide critical reviews regarding the Board of Director's (BoD) CG performance.

]]> 10.1504/IJTIP.2011.045095 International Journal of Technology Intelligence and Planning, Vol. 7, No. 4 (2011) pp. 361 - 371 Som Sekhar Bhattacharyya Strategic Management, Faculty Room No. 212, Training Block, National Institute of Industrial Engineering, NITIE Campus, Vihar Lake Road, Mumbai 400 087, India Web 2.0 stakeholder participation corporate governance practice BoDs board of directors. 2012-01-24T23:20:50-05:00 7 4 361 371 2012-01-24T23:20:50-05:00