Description

Book Synopsis

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 Özen, 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

Smart Analytics, Artificial Intelligence and

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    £999.99

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    A Hardback by Pallavi Tyagi, Simon Grima, Kiran Sood

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      Publisher: Emerald Publishing Limited
      Publication Date: 29/05/2023
      ISBN13: 9781803825564, 978-1803825564
      ISBN10: 1803825561

      Description

      Book Synopsis

      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 Özen, 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

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