Smart analytics, artificial intelligence and sustainable performance management in a global digitalised economy
Author(s)
Bibliographic Information
Smart analytics, artificial intelligence and sustainable performance management in a global digitalised economy
（Contemporary studies in economic and financial analysis, v. 110A）
Emerald Pub., 2023
- [pt. A] : print
Available at / 7 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references and index
Description and Table of Contents
Description
The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Balancing the physical and virtual spaces of the global digital economy wherein economic, commercial, and professional transactions are enabled by information and communication technologies has called for additional support from data-driven technologies like smart analytics and artificial intelligence. Opportunities created within digital economies to leverage technologies to execute tasks better, faster, and often differently have found the desired prominence in the recent past. Though the benefits outweigh the risks, the challenges in digitalised economies are as sophisticated as the solutions they offer.
Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalized Economy presents various viewpoints on topics like artificial intelligence, blockchain technology, digitalisation in various sectors, technology issues like cybersecurity and financial inclusion, and technology-enabled banking issues like money laundering. The theme of sustainability forms the core of the book.
Table of Contents
- Chapter 1. A Review of Business Model Disclosures in Integrated Reporting
- Inakshi Kapur, Pallavi Tyagi, and Neha Zaidi Chapter 2. Adaptive Market Hypothesis and Cointegration: An Evidence of the Cryptocurrency Market
- Miklesh Prasad Yadav, Atul Kumar, and Vidhi Tyagi Chapter 3. Modelling the Barriers of Artificial Intelligence Adoption in the Organisations: An Interpretive Structural Modeling and MICMAC Analysis
- Ashulekha Gupta and Rajiv Kumar Chapter 4. Performance Improvement in Budget Hotels through Consumer Sentiment Analysis Using Text Mining
- Debarshi Mukherjee, Ranjit Debnath, Subhayan Chakraborty, Lokesh Kumar Jena, and Khandakar Kamrul Hasan Chapter 5. Studying the Effect of Artificial Intelligence on E-Governance
- Kirti Prashar and Simerjeet Singh Bawa Chapter 6. The Development of Digital Banking: A Case Study of Vietnam
- Ngo Duc Tien Chapter 7. Augmenting Cybersecurity: A Survey of Intrusion Detection Systems in Combating Zero Day Vulnerabilities
- Divya Nair and Neeta Mhavan Chapter 8. Investigation of the Role of Compliance Unit as a Mediator between E-government and Money Laundering
- Charu Saxena, Shipra Pathak, Ramneek Ahluwalia, and Pankaj Kathuria Chapter 9. E-Governance and Fiscal Performance in Sub-Saharan Africa: Reappraising the Role of ICT in Public Sector Management
- Noah Oluwashina Afees Chapter 10. Artificial Intelligence and Machine Learning in Insurance: A Bibliometric Analysis
- Praveen Kumar, Sanjay Taneja, Ercan OEzen, and Satinderpal Singh Chapter 11. The Effect of Money Laundering on the Economic and Financial Performance of an Economy. A Bibliometric Analysis
- Adriana AnaMaria Davidescu and Eduard Mihai Manta Chapter 12. Financial Inclusion, Sustainability and Sustainable Development
- Peterson K Ozili Chapter 13. Gender Inequality in Management and Sustainable Competitiveness
- Simona Andreea Apostu, Maria Denisa Vasilescu, and Kiran Sood Chapter 14. Artificial Intelligence: The New Tool of Disruption in Educational Performance Assessment
- Mahantesh Halagatti, Soumya Gadag, Shashidhar Mahantshetti, Chetan V. Hiremath, Dhanashree Tharkude, and Vinayak Banakar Chapter 15. Machine Learning Based Smart Appliances for Everyday Life
- R Dhanalakshmi, Monica Benjamin, Arunkumar Sivaraman, Kiran Sood, and Sreedeep S S
by "Nielsen BookData"