Overview
- Examines the nature, extent, and implications of the rapid advances brought about by digitalization in India since the turn of the millennium
- Analyzes technical aspects of applications of disruptive technologies (automation, e-Commerce, big data analytics & algorithms, artificial intelligence, cloud computing, etc.) using specific sub-sectors as examples
- Investigates problems and opportunities in broad-basing access of citizens with diverse socio-economic and spatial endowments to the applications of digitalization from a developing economy perspective
Part of the book series: India Studies in Business and Economics (ISBE)
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Table of contents (15 chapters)
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Technical/Engineering Applications and Infrastructure
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Access/Use, Aberrations and Obstacles
Keywords
About this book
Editors and Affiliations
About the editors
Keshab Das is a Professor at the Gujarat Institute of Development Research, Ahmedabad, India. He holds M.Phil. (Applied Economics) and Ph.D. (Economics) degrees from the Jawaharlal Nehru University, New Delhi (through the Centre for Development Studies, Trivandrum). A recipient of the VKRV Rao Prize in Social Sciences (Economics), he has been a Visiting Research Fellow/Faculty at the Tshwane University of Technology, South Africa; University of Insubria, Italy; International Institute of Social Studies, Netherlands; University of Manchester, UK; Institute of Developing Economies, Japan; CNRS-REGARDS, France; Maison des Sciences de l’Homme, France; and Institute of Development Studies, UK. Having published extensively, his research focuses on issues in local and regional development; industrialization strategies; informal sector; MSMEs; innovation; labor; and infrastructure.
Bhabani Shankar Prasad Mishra has been an Associate Professor at the School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, since 2006. He holds a Ph.D. degree in Computer Science from the F.M. University, Balasore, Odisha. He completed his Postdoctoral Research at the Soft Computing Laboratory, Yonsei University, Seoul, South Korea. His research interests include evolutionary computation, neural networks, pattern recognition, data warehousing and mining, and big data. In addition to having published or contributed to more than 40 research papers in peer-reviewed journals and conference proceedings, he has authored one book and co-edited four more. He also serves as an editorial board member for various journals.
Madhabananda Das is a Senior Professor at the School of Computer Engineering at KIIT University, Bhubaneswar, Odisha, with 38 years of working experience including 23 years of teaching and research experience and 15 years in the industry. He holds Ph.D. (KIIT University), M.Tech. (Sambalpur University)and M.B.A. (Xavier Institute of Management) degrees in Computer Science. He has been a faculty member at the University College of Engineering, Burla, and worked at Orissa State Electronics Development Corporation Limited. His research interests include artificial intelligence, soft computing, machine learning, deep learning and natural language processing. He has published or contributed more than 50 research papers in peer-reviewed journals and conference proceedings.
Bibliographic Information
Book Title: The Digitalization Conundrum in India
Book Subtitle: Applications, Access and Aberrations
Editors: Keshab Das, Bhabani Shankar Prasad Mishra, Madhabananda Das
Series Title: India Studies in Business and Economics
DOI: https://doi.org/10.1007/978-981-15-6907-4
Publisher: Springer Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-6906-7Published: 02 March 2021
Softcover ISBN: 978-981-15-6909-8Published: 03 March 2022
eBook ISBN: 978-981-15-6907-4Published: 01 March 2021
Series ISSN: 2198-0012
Series E-ISSN: 2198-0020
Edition Number: 1
Number of Pages: XVIII, 308
Number of Illustrations: 7 b/w illustrations, 46 illustrations in colour
Topics: Development Economics, R & D/Technology Policy, Computer Appl. in Arts and Humanities, Big Data/Analytics, Business Information Systems