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E-grāmata: Technology Innovation in Manufacturing [Taylor & Francis e-book]

(Punjabi University, India), (Punjabi University, India), (Thapar University, India)
  • Formāts: 144 pages, 34 Tables, black and white; 17 Line drawings, black and white; 6 Halftones, black and white; 23 Illustrations, color
  • Izdošanas datums: 10-Jan-2023
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003272977
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  • Taylor & Francis e-book
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Technology Innovation in ManufacturingPalielināt
  • Formāts: 144 pages, 34 Tables, black and white; 17 Line drawings, black and white; 6 Halftones, black and white; 23 Illustrations, color
  • Izdošanas datums: 10-Jan-2023
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003272977
Citas grāmatas par šo tēmu:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Rokasgrāmatas mājas lapa: https://www.taylorfrancis.com/books/9781003272977
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 culture Highlights technology innovation-strategy model in assisting manufacturing industries for enhancing their performance in todays competitive environment Examines the effect of technology innovation initiatives on the performance of manufacturing industries Covers multi-criteria decision-making techniques such as fuzzy set theory, structural equation modeling, and analytic hierarchy process Explores the validation of fuzzy-based technology innovation model through structural equation modeling
Preface xi
Author Biographies xiii
Acknowledgments xv
1 Technology innovation and its significance
1(10)
1.1 Introduction
1(1)
1.2 Innovation typology
2(1)
1.3 Technology innovation defined
2(2)
1.4 Important sources of technology innovation
4(2)
1.5 Significance of technological innovation
6(2)
1.6 Technological innovation in manufacturing industries
8(1)
1.7 Concluding remarks
8(3)
2 Globalization and its impact on technology innovation
11(4)
2.1 Introduction
11(1)
2.2 Globalization and fourth industrial revolution
11(1)
2.3 Positive and negative consequences of globalization
12(1)
2.4 Effect of globalization on technology innovation in manufacturing industries
13(1)
2.5 Need for technology innovation in the era of globalization
14(1)
2.6 Concluding remarks
14(1)
3 Technology innovation initiatives in manufacturing industries
15(14)
3.1 Introduction
15(1)
3.2 Technology innovation initiatives
15(12)
3.2.1 Entrepreneurial capability
16(1)
3.2.1.1 Education level of entrepreneur
17(1)
3.2.1.2 Entrepreneur training
17(1)
3.2.1.3 Technical competencies of entrepreneur
18(1)
3.2.1.4 Work experience of entrepreneur
18(1)
3.2.1.5 Financial schemes and loan procedure
19(1)
3.2.2 Technology infrastructure capability
20(1)
3.2.2.1 Material resources
20(1)
3.2.2.2 Research and development expenditure
21(1)
3.2.2.3 Marketing and promoting products
22(1)
3.2.2.4 Manufacturing technology entirely new to firm
22(1)
3.2.2.5 Financial strategies for utilization of funds
23(1)
3.2.2.6 Loans from bank for technology innovation
23(1)
3.2.3 Organizational culture and climate
23(1)
3.2.3.1 Motivation of employees
24(1)
3.2.3.2 Training of employees
25(1)
3.2.3.3 Availability of skilled manpower
25(1)
3.2.4 Government initiatives
26(1)
3.2.4.1 Government support in acquiring latest technology
26(1)
3.2.4.2 Funds for r&d initiatives
27(1)
3.3 Concluding remarks
27(2)
4 Reliability analysis of technology innovation initiatives
29(18)
4.1 Introduction
29(1)
4.2 Analyses of Preliminary data
29(9)
4.2.1 Entrepreneurial capability (EC) issues
29(3)
4.2.2 Technology infrastructure capability (TIC) issues
32(2)
4.2.3 Organization culture and climate (OCC) issues
34(1)
4.2.4 Government initiative (GI) issues
34(2)
4.2.5 Manufacturing performance parameter (MPP) issues
36(2)
4.3 Relationship between various TIIs and MPPs
38(3)
4.4 Contribution of tiis in achieving manufacturing performance enhancement
41(4)
4.4.1 Validation of hypotheses
44(1)
4.5 Concluding remarks
45(2)
5 Multi-criteria decision-making techniques
47(16)
5.1 Introduction
47(1)
5.2 Evaluation of tiis using fuzzy-based model
47(1)
5.3 Fuzzy inference systems (fis)
48(7)
5.3.1 Fuzzification
48(1)
5.3.2 Rule evaluation
49(1)
5.3.3 Defuzzification
50(1)
5.3.3.1 Fuzzification of TI
50(1)
5.3.3.2 Product performance
50(1)
5.3.3.3 Sales performance
51(1)
5.3.4 Result: checking the suitability of TI measures
51(1)
5.3.5 Fuzzy evaluation rules and solution
52(1)
5.3.5.1 Interpretations and conclusions
53(2)
5.4 Analytic hierarchy process (ahp)
55(6)
5.4.1 Describing model structure: the sub-objectives for decision-making
56(1)
5.4.2 Hierarchy formulated
57(1)
5.4.3 Scale used for pair-wise comparison of attributes
57(1)
5.4.4 Pair-wise comparison of different attributes
57(1)
5.4.5 Normalization of comparison matrix
58(1)
5.4.6 Checking for consistency
59(1)
5.4.7 Priority weights for alternatives
60(1)
5.5 Concluding remarks
61(2)
6 Structural equation modeling
63(16)
6.1 Introduction
63(1)
6.2 Validation of fuzzy-based ti model through structural equation modeling (sem) using amos
63(14)
6.2.1 Instrument used: AMOS 22.0 software
64(1)
6.2.2 Independent and dependent variables
65(2)
6.2.3 Structural equation modeling of TI model
67(1)
6.2.4 Screening of the data with preliminary analysis
68(1)
6.2.5 Confirmatory factor analysis
68(6)
6.2.6 SEM_TI model and result analysis
74(1)
6.2.7 Modification indices of SEM_TI model
75(2)
6.3 Concluding remarks
77(2)
7 Case studies
79(16)
7.1 Introduction
79(1)
7.2 Introduction to industry `A'
79(5)
7.2.1 Quality policy
79(1)
7.2.2 Mission
80(1)
7.2.3 Product range
80(1)
7.2.4 SWOT analysis at Industry A'
80(2)
7.2.5 SAP analysis of Industry A'
82(1)
7.2.5.1 Situation
82(1)
7.2.5.2 Actor
82(1)
7.2.5.3 Process
82(1)
7.2.6 LAP synthesis of Industry `A'
83(1)
7.3 Introduction to industry `B'
84(5)
7.3.1 Milestones
84(1)
7.3.2 Product range
84(2)
7.3.3 SWOT analysis at Industry `B'
86(1)
7.3.4 SAP analysis of Industry `B'
86(1)
7.3.4.1 Situation
86(2)
7.3.4.2 Actor
88(1)
7.3.4.3 Process
88(1)
7.3.5 LAP synthesis at Industry `B'
89(1)
7.4 Suggestions and recommendations
89(4)
7.4.1 Suggestions to the entrepreneurs
89(2)
7.4.2 Suggestions to the government
91(1)
7.4.3 Suggestions to banks and other financial institutions
92(1)
7.5 Concluding remarks
93(2)
8 Conclusions and recommendations
95(8)
8.1 Introduction
95(1)
8.2 Summary of the study
96(1)
8.3 Research contributions
96(4)
8.3.1 Percent points scored results
96(1)
8.3.2 Statistical analysis results
97(1)
8.3.3 Qualitative analysis results
98(2)
8.3.4 Technology innovation implementation model
100(1)
8.4 Major findings of the study
100(1)
8.5 Limitations of the study
101(1)
8.6 Suggestions for future research
102(1)
References 103(24)
Appendix I Technology innovation questionnaire 127(10)
Appendix II Letters of support from various manufacturing organizations 137(4)
Index 141
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.
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