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Artificial intelligence-augmented digital twinstransforming industrial operations for innovation and sustainability /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence-augmented digital twinsedited by Abdalmuttaleb M. A. Musleh Al-Sartawi, Anas Ali Al-Qudah, Fadi Shihadeh.
Reminder of title:	transforming industrial operations for innovation and sustainability /
other author:	Al-Sartawi, Abdalmuttaleb M. A. Musleh.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xiii, 683 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Digital twins (Computer simulation)
Online resource:	https://doi.org/10.1007/978-3-031-43490-7
ISBN:	9783031434907$q(electronic bk.)

Artificial intelligence-augmented digital twinstransforming industrial operations for innovation and sustainability /
Artificial intelligence-augmented digital twinstransforming industrial operations for innovation and sustainability /[electronic resource] :edited by Abdalmuttaleb M. A. Musleh Al-Sartawi, Anas Ali Al-Qudah, Fadi Shihadeh. - Cham :Springer Nature Switzerland :2024. - xiii, 683 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 5032198-4190 ;. - Studies in systems, decision and control ;v.3..

Factors Affecting Artificial Intelligence-Enabled Virtual Assistants Incorporation: A Case Study of the Students of Mass Communication -- Understanding Consumer Attitude and Behavior About E-Commerce Platforms for Agricultural Products in India -- Antecedents and Consequences of Business Model Innovation: A Theoretical Model -- Financial Management Information System in Developing Countries: A Review of Literature -- How Can Higher Education Contribute to the 21st Century Employability Skills Through Use of Collaborative Learning Design in Business -- Innovation Through Computing Green Marketing and its Effect on Consumer Purchase Intention -- The Actual Impact of Metaverse on the FinTech Industry -- The nexus between Blockchain, Crypto currencies and AI: With case study -- The Advantages and Difficulties of Using AI and BT in the Auditing procedures: A Literature Review -- Big Data Analytics and Its Impact on Corporate Sustainability Disclosure in The Digital Era -- Fraud Auditing and Forensic Accounting a Review Paper -- FinTech Education: An exploratory study from the point view of Business students -- Metrics-Based Exploration and Assessment of Classification and Association Rule Mining Techniques: A Comprehensive Study -- Do Green Human resource practices affect firm's performance: the case of the telecommunication companies in Bahrain? -- Data Mining Approaches for Depression Detection on So-cial Media Twitter Dataset -- Cybersecurity and Forensic Accounting a Literature review -- Exploring Business Faculty's Perception about the Usefulness of Chatbots in Higher Education -- Electronic Fraud in the Age of Technology -- The level of students' satisfaction with their academic performance in e-learning through learning platforms -- International Accounting Standards Technique: Need of Related Party Disclosures (IAS 24) -- The Impact of Applying the Elements of Administrative Creativity in Improving the Quality of Services in the Ministry of Education Center: A Case Study -- Utilizing Deep Learning Models (RNN, LSTM, CNN-LSTM, and Bi-LSTM) for Arabic Text Classification -- Forensic Accounting and Big Data: A Literature Paper -- Agriculture Insurance: A Panacea for the Development of the Agriculture Sector in India -- The Impacts of COVID-19 on the Jordanian Economy: Evidence from the Middle East -- Innovation and Creativity an Important Ingredient in the Future Growth and Sustainability of SMEs -- The Mediating Effect of the Organizational Commitment on the Association between Employees' Empowerment and the Quality of Municipal Services in Jordan -- The importance and trends of Digital Economy during COVID 19 crisis: UAE case -- Enhancing the security of sensitive data in cloud using enhanced cryptographic scheme -- Female Influencers: Examining Bahraini Social Media's Portrayal of Female Subjectivity -- Does COVID-19 Have A Significant Impact on Digital Finance? Analysis Of Indian Digital Payment System -- Literature Review for Educational Data Mining Systems - Fahad Bin Sultan University case study -- Social Factors Affecting Customers' Orientation to Islamic Banks -- Impact of business analytics and innovation on firm performance -- Technological Protection Measures and Their Role in Protecting Digital Works -- Forensic Accounting and the Auditing of the Digital Banking -- The Reflection of Applying Accrual Basis in Enhancing Transparency and Accountability in the Jordanian Public Sector -- ESG Performance and Tax Avoidance: The Case of the Jordanian Capital Market -- The Impact of Digital Marketing on SME's growth and success as a Tool of Marketing Communication: A Case Study in Bahrain After the Pandemic -- The Concept of Ijarah and Ijarah MuntahiaBittamleek in Sudanese Islamic Banks -- Antecedents of User Satisfaction in the Context of Accounting Information Systems: A Proposed Framework -- Consequences of Fintech on the Profitability of Banking System -- The effect of Voluntary Disclosure on Stock Liquidity: Evidence from Jordan -- Forensic Accounting in The Age of Financial Technology -- The Performance of Internal Shariah Auditor in Islamic Financial Institutions -- Real or virtual: About the future of education -- The Impact of Earnings Management on the Value Relevance of Earnings: Empirical Evidence from Jordan -- A Journey Towards Restfulness or Restlessness: An Inquiry into the Impact of Online Education in Working Women Parents -- Investigating the Impact of COVID-19 On Organizational Performance- The Case of Sappi Saiccor in Kwazulu-Natal -- Traditional Human Duties and the Challenges of Digitization -- Assessment of The Challenges and Benefits of Implementing International Public Sector Accounting Standards (IPSAS) In Jordan -- The Emergence of Islamic fintech and Bahrain: Prospect for global Financial Sectors.

Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin.The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures. Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018) The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success. Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.

ISBN: 9783031434907$q(electronic bk.)

Standard No.: 10.1007/978-3-031-43490-7doiSubjects--Topical Terms:

938961
Digital twins (Computer simulation)

LC Class. No.: QA76.9.C65

Dewey Class. No.: 003.3

Artificial intelligence-augmented digital twinstransforming industrial operations for innovation and sustainability /
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520 $a Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin.The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures. Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018) The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success. Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.
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