Strategic System Assurance and Business Analytics

1. Front Matter

   Pages i-xix

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2. Investing Data with Machine Learning Using Python

   • Anish Gupta, Manish Gupta, Prateek Chaturvedi

   Pages 1-9

3. Probabilistic Assessment of Complex System with Two Subsystems in Series Arrangement with Multi-types Failure and Two Types of Repair Using Copula

   • Pratap Kumar, Kabiru H. Ibrahim, M. I. Abubakar, V. V. Singh

   Pages 11-26

4. Recognition and Optimizing Process Lagging Indicators During Software Development

   • Amrita Wadhawan, Shalu Gupta

   Pages 27-36

5. Risk and Safety Analysis of Warships Operational Lifetime Defects

   • Uday Kumar, Ajit Kumar Verma, Piyush Pratim Das

   Pages 37-44

6. Facebook Data Breach: A Systematic Review of Its Consequences on Consumers’ Behaviour Towards Advertising

   • Emmanuel Elioth Lulandala

   Pages 45-68

7. Fuzzy DEMATEL Approach to Identify the Factors Influencing Efficiency of Indian Retail Websites

   • Loveleen Gaur, Vernika Agarwal, Kumari Anshu

   Pages 69-84

8. Application of Statistical Techniques in Project Monitoring and Control

   • Shalu Gupta, Deepshikha Bharti

   Pages 85-97

9. Sensor-Based Smart Agriculture in India

   • Pradnya Vishwas Chitrao, Rajiv Divekar, Sanchari Debgupta

   Pages 99-107

10. Integrating UTAUT with Trust and Perceived Benefits to Explain User Adoption of Mobile Payments

    • Rishi Manrai, Kriti Priya Gupta

    Pages 109-121

11. Improving the Quality of Customer Service of Financial Institutions: The Implementation of Challenger Banks

    • Alexey V. Bataev, Dmitriy G. Rodionov

    Pages 123-138

12. Corporate Image Building in the Indian IT Sector: Conceptualizing Through HR Practices

    • Renu Rana, Shikha Kapoor

    Pages 139-153

13. Vague Reliability Analysis of Standby Systems with an (N + 1) Units

    • Kapil Kumar Bansal, Mukesh K. Sharma, Dhowmya Bhatt

    Pages 155-161

14. Experimental Study for MRR and TWR on Machining of Inconel 718 using ZNC EDM

    • Rajesh Kumar, Balbir Singh

    Pages 163-173

15. Blind Quantitative Steganalysis Using CNN–Long Short-Term Memory Architecture

    • Anuradha Singhal, Punam Bedi

    Pages 175-186

16. Performance of Autoregressive Tree Model in Forecasting Cancer Patients

    • Sukhpal Kaur, Madhuchanda Rakshit

    Pages 187-200

17. Developing a Usage Space Dimension Model to Investigate Influence of Intention to Use on Actual Usage of Mobile Phones

    • Geeta Kumar, P. K. Kapur

    Pages 201-229

18. Examining the Relationship Between Customer-Oriented Success Factors, Customer Satisfaction, and Repurchase Intention for Mobile Commerce

    • Abhishek Tandon, Himanshu Sharma, Anu Gupta Aggarwal

    Pages 231-243

19. Smart Industrial Packaging and Sorting System

    • Sameer Tripathi, Samraddh Shukla, Shivam Attrey, Amit Agrawal, Vikas Singh Bhadoria

    Pages 245-254

20. Credentials Safety and System Security Pay-off and Trade-off: Comfort Level Security Assurance Framework

    • Habib ur Rehman, Mohammed Nazir, Khurram Mustafa

    Pages 255-274

This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics, and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management, and business analytics, it explores the development of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performance and provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards, time series-based analysis using charts, and dashboards.

In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT, and Intuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts.

• Management Analytics
• Performance Analytics
• Reliability
• Quality Management
• Big Data Analytics
• quality control, reliability, safety and risk

• Amity Center for Interdisciplinary Research, Amity University, Noida, India

  P. K. Kapur

• Department of Operational Research, University of Delhi, New Delhi, India

  Ompal Singh

• Amity University, Tashkent, Uzbekistan

  Sunil Kumar Khatri

• Western Norway University of Applied Sciences, Haugesund, Norway

  Ajit Kumar Verma

P.K. Kapur is Director of Amity Centre for Interdisciplinary Research, Amity University, Noida, and former Dean of the Faculty of Mathematical Sciences, University of Delhi, India. He has been the President of the SREQOM (Regd.) since 2000 and is former President of ORSI. He is the Editor-in-Chief of the International Journal of System Assurance Engineering and Management, Springer (India). He has published over 350 papers in respected international journals and proceedings and has co-authored two books on software reliability with OR applications.

Ompal Singh is an Associate Professor at the Department of Operational Research, University of Delhi, India. He obtained his Ph.D. in Software Reliability from the University of Delhi in 2004, and has more than 15 years of experience in teaching, research, and consultation in the area of data handling, data analysis, and modeling in the various fields of operational research. He has published more than 100 researchpapers in respected international journals and proceedings.

Sunil Kumar Khatri is Director, Amity University, Tashkent Campus, Tashkent, Uzbekistan and is a Fellow of Institution of Electronics and Telecommunication Engineers (IETE). He has edited seven books and seven special issues of international journals, as well as more than 100 papers in respected international and national journals and proceedings. He holds various patents, and has been involved in a number of international training projects to his credit. He is an Editor of International Journal of Systems Assurance Engineering and Management, Springer, and is on the editorial boards of several journals in the USA, Egypt, Hong Kong, Singapore and India.

Ajit K. Verma is a Professor (Technical Safety) of Engineering, Western Norway University of Applied Sciences, Haugesund, Norway. He was previously a Senior Professor at the Department of Electrical Engineering at IIT Bombay, India. He has published over 250 papers in various journals and conferences. He is a senior member of the IEEE and a life Fellow of the IETE and Editor-in-Chief of IJSAEM and the Journal of Life Cycle Reliability and Safety Engineering.

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