Innovation Analytics:Tools for Competitive Advantage

Edited by Nachiappan Subramanian, S G Ponnambalam and Mukund Janardhanan

in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.

Abstract: Innovation analytics is an emerging paradigm that integrates information/knowledge, analytics, digital twins and artificial intelligence to support and manage the entire lifecycle of a product and process from inception, through engineering design and manufacture, to service and disposal of manufactured products. Innovation analytics is set to become an integral part of the innovation lifecycle to help make smart, agile decisions and accelerate business growth.

Keywords: Innovation; Analytics; Business Management; Product Development; Process Innovation (search for similar items in EconPapers)
JEL-codes: O31 O32 O33 (search for similar items in EconPapers)
Date: 2023
ISBN: 9781800610002
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Downloads: (external link)
https://www.worldscientific.com/worldscibooks/10.1142/q0293 (text/html)
Ebook Access is available upon purchase

Chapters in this book:

Ch 1 Introduction , pp 1-16

Nachiappan Subramanian, S. G. Ponnambalam, Mukund Janardhanan and Mukund Subramaniyan

Ch 2 Consumer Product Innovation and the Opportunities for Data Analytics , pp 19-39

Heather Burgess, Kripa Rajshekhar and Wlodek Zadrozny

Ch 3 R&D in Product and Process Innovation — System Design of Multidisciplinary Products by Applying Mass Customization Approaches , pp 41-70

Tufail Habib

Ch 4 Business Model Innovation Analytics for Small to Medium Enterprises , pp 71-97

Matheus Franco, Vinicius Minatogawa, Ruy Quadros, Orlando Duran, Antonio Batocchio, Jose Garcia and Matias Valenzuela

Ch 5 Analysis of Factors Influencing Product and Process Innovation for Smart Manufacturing , pp 99-115

Anilkumar Malaga and Sekar Vinodh

Ch 6 AI-Driven Innovation: Leveraging Big Data Analytics for Innovation , pp 119-137

Aniekan Essien

Ch 7 A Survey of IIoT and AI-Enabled Manufacturing Systems: Use Case Perspective , pp 139-170

N. R. Srinivasa Raghavan and Sandeep Dulluri

Ch 8 Fighting Food Waste: How Can Artificial Intelligence and Analytics Help? , pp 171-189

Lohithaksha M. Maiyar, Ramakrishnan Ramanathan, Shanta Lakshmi Belavadi Nagaraja Swamy and Usha Ramanathan

Ch 9 Intelligent Traffic Solutions (Role of Machine Learning and Machine Reasoning) , pp 191-235

Shivani Agarwal, Pallavi Gusain, Arundhati Jadhav, Purabi Panigrahy, Benjamin Stewart, Alekhya Penmatsa and Tugrul Daim

Ch 10 Mitigating the Proclivity Toward Multiple Adjustments Through Innovative Forecasting Support Systems , pp 239-255

Banusha Aruchunarasa and H. Niles Perera

Ch 11 Fuzzy Logic-Based Multi-Objective Decision-Making Model for Design Evaluation in an Open Innovation Environment , pp 257-275

S. Denis Ashok, S. Krishna and S. G. Ponnambalam

Ch 12 A Sentiment-Based Approach for Innovative Product Sales Forecasting , pp 277-300

M. A. Premachandra, P. T. Ranil S. Sugathadasa, Amila Thibbotuwa and H. Niles Perera

Ch 13 Conclusion , pp 301-305

Nachiappan Subramanian, S. G. Ponnambalam and Mukund Janardhanan

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