Abundance of information due to inception of social media, blockchain, IoT etc. has conceptualized a paradigm shift in current business process. Data driven decision making has taken a pivotal role for major business houses. This calls for necessity of interdisciplinary expertise where technology and management can go hand in hand to design a successful business plan. In this context, the use of deep neural networks, machine learning, computer vision, big data anaytics and so on have played crucial role to locate rich business insights from the huge unstructured data available via multiple media. However, sustainability has become a big concern with the advent of novel technologies and their increasing usage. Achieving sustainability goals for a better future and promoting green IT with the help of disruptive technologies is an interesting domain to ponder upon. This publication tends to involve major emerging trends in technology which are supporting the current business process and promoting sustainability by means of managing e waste, encouraging green IT and so on. It also aims to highlight e governance and the role of technology management to maintain sustainability for the ecology and environment. The main focus is to show the design of novel techniques based on recent technical advancements so that interpretation of management implications and sustainable development can go hand in hand for shaping up newer business goals. The scope of this publication involves proposing novel techniques and reviewing state-of-the-art in the area of machine learning, computer vision, IoT, big data etc. and also to relate the same to their applications in sustainable development and business environment. The motivation of this publication is not only to put forward new ideas in technology innovation but also to analyse the effect of the same in current context of business and sustainable environment.

Recommended Topics for Chapter submission are given below

i) Impact of Machine Learning in Managerial Practices

ii) Impact of Computer Vision in Management Practices

iii) IoT: a step towards Sustainability

iv) Blockchain: Current Managerial Practices

v) Challenges and opportunities in E Governance

vi) Technological Innovations promoting sustainable development

vii) Innovations in handing Big Data for Green IT

viii) Effect of Supervised Machine Learning in Management Practices

ix) Effect of Unsupervised Machine Learning in Management Practices

x) Review of recent trends in Technology Management

Submission Procedure

• Prospective authors are invited to submit a 3- 4 pages Abstract of the paper along with title of the paper and author details. Abstract should highlight the novelty and contribution of the proposed article.
• Authors need to submit this abstract using the Easy Chair submission link
• Easy Chair link for Submission
• Full Chapter preparation Guidelines and Chapter Template

• Proposal Submission: 30th November 2018 (Closed)
• Notification of Acceptance of Proposals: 05th December 2018
• Full Chapter Submission: 15th January 2019
• Chapter Review Notification: 5th February 2019
• Interim Version Due: 15th February 2019
• Final Notification: 04th March 2019
• Final Revised Chapter Due: 20th March 2019
• Final Acceptance: 21st April 2019

Dr. Rik Das , Xavier Institute of Social Service, Ranchi, India

Dr. Rik Das is a PhD (Tech.) from University of Calcutta, Kolkata, West Bengal India. He is awarded with B.E. and M.Tech in Information Technology from University of Burdwan and University of Calcutta respectively. He has over 14 years of rich academic experience with leading Institutions in India and has over 24 International Publications in reputed International Journals and Conferences. He takes keen interest in researching with Computer Vision, Machine Learning and Deep Learning.

Dr. Mahua Banerjee , Xavier Institute of Social Service, Ranchi, India

Dr. Mahua Banerjee did her graduation from Bethune College, Kolkata in Physics Honours. She did her Post Graduate Diploma in Computer Application (PGDCA) from Xavier Institute of Social Service, Ranchi & Masters in Computer Application from IGNOU. Thereafter she completed her Ph.D. in Computer Science from Indian School of Mines (IIT), Dhanbad. Her research area was in Software Engineering.

Since 1990, she is teaching the Post Graduate students in different topics like Procedure Oriented Programming, Object Oriented Programming, Database Management Systems, Data Structure & Algorithm, Data Communication & Networking, Operations & Production Management etc. She has around 11 National & International publications in journals and proceedings. She has also published a book on Modular Programming entitled “Modular Programming Techniques using AOP and FOP”, LAP LAMBERT Academic Publishing, Germany, November 2014. She has also reviewed several books in C & C++ Programming, Data Structure Algorithm and Data Communication Networking of Tata McGraw Hill Publication. Her research interest includes Software Engineering & Modular Programming.

Dr. Sourav De, Cooch Behar Government Engineering College, Cooch Behar, India

Dr. Sourav De did his Bachelors in Information Technology from The University of Burdwan, Burdwan, India in 2002. He did his Masters in Information Technology from West Bengal University of Technology, Kolkata, India in 2005. He completed PhD in Computer Science and Technology from Indian Institute of Engineering & Technology, Shibpur, Howrah, India in 2015. He is currently an Associate Professor of Computer Science & Engineering Department in Cooch Behar Government Engineering College, West Bengal. Previous to this, he was an Assistant Professor for ten years in the Department of Computer Science and Engineering and Information Technology of University Institute of Technology, The University of Burdwan, Burdwan, India. He served as a Junior Programmer in Apices Consultancy Private Limited, Kolkata, India in 2005. He is a co-author of one book and the co-editor of 6 books and has more than 33 research publications in internationally reputed journals, international edited books and international IEEE conference proceedings to his credit. He served as reviewer in several International IEEE conferences and also in several international editorial books. He also served as reviewer in Applied Soft Computing, Elsevier, B. V. He has been the member of the organizing and technical program committees of several national and international conferences. He has been invited in different seminars as an expert speaker. His research interests include soft computing, pattern recognition, image processing and data mining. Dr. De is a member of IEEE, ACM, Computer Science Teachers Association (CSTA) and IAENG, Hong Kong. He is a life member of ISTE, India.

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The link for the book series is given below: https://www.crcpress.com/go/focuscia

Dr. Rik Das

Xavier Institute of Social Service

Ranchi, Jharkhand, India

Mobile: +918051095938

Email : rikdas78@gmail.com