This text identifies and discusses different technology innovation initiatives (TIIs) such as entrepreneurial capability, technology infrastructure capability, organizational culture and climate, and government initiatives. It further evaluates the relationship between various technology innovation initiatives and manufacturing performances using multi-criteria decision-making techniques such as fuzzy set theory (FST), structural equation modeling (SEM), and analytic hierarchy process (AHP). It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering, manufacturing engineering, mechanical engineering, automotive engineering.
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Dr. Davinder Singh is working as assistant professor in Department of Mechanical Engineering, Punjabi University, Patiala, Punjab (India) since 2011. He has completed his Ph.D. in November, 2016 from the same institution. He has done M.Tech (Production and Industrial Engineering) from Thapar University, Patiala, Punjab (India), completed in 2009. He completed B.Tech in Mechanical Engineering from Giani Zail Singh College of Engineering and Technology, Bathinda, Punjab (India). He has guided more than 30 students for M.Tech thesis. He has published around 35 research papers in various international journals and conferences. Presently, 4 students are working under him for their Ph.D. and 2 for their M.Tech. His main research areas are Production & Industrial Engineering, Manufacturing Technology and Innovation Management. He has held numerous charges in Department of Mechanical Engineering, Punjabi University, Patiala, Punjab (India).
Dr. Jaimal Singh Khamba is working as a Professor in the Department of Mechanical Engineering, Punjabi University, Patiala. He has guided a number of students for their M.Tech. and Ph.D. work. Many students are pursuing their Ph.D. work under him. He has a large number of research projects, conferences and consultancies to his credit. He has published many Research papers in National/International Journals & conferences.
Dr. Tarun Nanda is working as an Associate Professor in the Department of Mechanical Engineering, Thapar University, Patiala. He has guided a number of students for their M.Tech. and Ph.D. work. Many students are pursuing their Ph.D. work under him. He has published many Research papers in National/International Journals and Conferences.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. This text identifies and discusses different technology innovation initiatives (TIIs) such as entrepreneurial capability, technology infrastructure capability, organizational culture and climate, and government initiatives. It further evaluates the relationship between various technology innovation initiatives and manufacturing performances using multi-criteria decision-making techniques such as fuzzy set theory (FST), structural equation modeling (SEM), and analytic hierarchy process (AHP). It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering, manufacturing engineering, mechanical engineering, automotive engineering.This book:Discusses technology innovation initiatives such as entrepreneurial capability, technology infrastructure capability, and organizational cultureHighlights technology innovation-strategy model in assisting manufacturing industries for enhancing their performance in todays competitive environmentExamines the effect of technology innovation initiatives on the performance of manufacturing industriesCovers multi-criteria decision-making techniques such as fuzzy set theory, structural equation modeling, and analytic hierarchy processExplores the validation of fuzzy-based technology innovation model through structural equation modeling The text highlights the need for a technology innovation-strategy model to assist manufacturing industries in enhancing their performance in todays competitive environment. It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering, manufacturing engineering etc. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032210278
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