Recent Advances in Management and Engineering
Proceedings ofRecent Advances in Management and Engineering
1st Edition
Published on 5. September 2024
Book
Paperback/Softback
290 pages
978-1-032-87318-3 (ISBN)
Description
It is with great pleasure that I present to you the proceedings of our Recent Advances in Management and Engineering held on November 24 - 27, 2023 in Male. Maldives. This conference represents a milestone in our ongoing journey towards academic excellence where we aspire to become a renowned platform for the exchange of ideas, collaboration, networking, and learning. These proceedings contain contributions that are very amazing in innovations in management. It covers a wide range of issues, ranging from the most recent trends in business to innovations in fundamentals of management. A broad collection of scholars, practitioners, and thought leaders from four continents across the world worked together to produce these results, which are a reflection of their combined efforts.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Dimensions
Height: 280 mm
Width: 210 mm
Thickness: 17 mm
Weight
786 gr
ISBN-13
978-1-032-87318-3 (9781032873183)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ilona Paweloszek | Dorota Jelonek | Munish Sabharwal
Recent Advances in Management and Engineering
Proceedings ofRecent Advances in Management and Engineering
E-Book
09/2024
1st Edition
CRC Press
€69.99
Available for download
Ilona Paweloszek | Dorota Jelonek | Munish Sabharwal
Recent Advances in Management and Engineering
Proceedings ofRecent Advances in Management and Engineering
E-Book
09/2024
1st Edition
CRC Press
€69.99
Available for download
Persons
Prof. (Dr.) Ilona Paweloszek is a Doctor of Economics in the discipline of Management and Quality Sciences, a graduate of the Faculty of Management of the Czestochowa University of Technology, specializing in "development management and consulting." She also completed pedagogical studies in training teachers of technical subjects. She has been a researcher and didactic employee at the Faculty of Management of the CUT since 1999, currently as an assistant professor at the Department of Management Information Systems. From 2002-2006, she researched mobile technologies in knowledge management, the usability of mobile solutions, and their integration with enterprise information systems. Her scientific and research interests focus on using semantic web technology, big data, and data mining to support managerial decisions. She is the author of several dozen publications, including three original monographs. She is a member of the Scientific Association of Business Informatics and the Polish Association for Production Management.
Prof. (Dr.) Dorota Jelonek is a full professor of Economics at the Faculty of Management of the Czestochowa University of Technology in Poland. Her scientific and research interests focus on solving problems related to the implementation of management information systems in enterprises and improving management information processes. She is the author of 6 books and the editor of 10. Additionally, she has authored or co-authored 250 articles in Polish and foreign journals and book chapters. She previously held the positions of Associate Dean for Science and Dean of the Faculty. Since 2019, Prof. Dorota Jelonek has been the President of the Scientific Society for Economic Informatics and is a member of many societies, including the Polish Association for Innovation Management and the Informing Science Institute.
Prof. (Dr.) Munish Sabharwal is an accomplished academician, researcher, and proactive decision-maker with a diverse background and a passion for education and innovation. Possesses dual PhD qualifications in Computer Science (CS) and Management with a focus on Management Information Systems (MIS). He is a seasoned professional with over 25+ years of extensive experience in Teaching, Education Management, Research, and Software Development. He is currently working as Executive Director & Professor (CSE) at IILM University, Greater Noida, India. His present research interests include Data Science, AI & ML, Biometrics, and E-Banking.
Prof. (Dr.) Narendra Kumar is doctors of Computer Science & Engineering and Mathematics. He is working in NIMS Institute of Engineering and Technology, NIMS University Rajasthan, Jaipur. He has completed his M.Phil.(1994) with gold medal and Ph.D. (2003, 2012) from Dr. Bhimrao Ambedkar University, Agra. He has an academic experience for more than 28 years. He worked as Dean, Joint Director and Director in various universities. He has published more than two dozen books in the domain of mathematics, statistics and computer science and engineering, more than 70 research papers in national/ international journals. He has guided more than a dozen students for research degree. He has many patents in his credit and member of Board of studies in many universities. His key areas of research work are Mathematical modeling, Theory of relativity, Data science, Big data and brand management.
Prof. (Dr.) Karlibaeva Raya is a Full Professor of Economics at the Faculty of Finance of Tashkent State University of Economics. Her research interests are focused on solving problems related to the management of financial resources in enterprises, improving the management of cash flows and investment processes of enterprises. She is the author of 5 books and the editor of 9 monographs. In addition, she is the author or co-author of 137 articles in Uzbek and foreign journals and book chapters. She is the head of the Finance Department. Since 2019, Karlibaeva Raya has been a member of the Scientific Council for the defense of her PhD thesis and a member of many societies, including the Association of Corporate Governance under the Government of Uzbekistan
Prof. (Dr.) Dorota Jelonek is a full professor of Economics at the Faculty of Management of the Czestochowa University of Technology in Poland. Her scientific and research interests focus on solving problems related to the implementation of management information systems in enterprises and improving management information processes. She is the author of 6 books and the editor of 10. Additionally, she has authored or co-authored 250 articles in Polish and foreign journals and book chapters. She previously held the positions of Associate Dean for Science and Dean of the Faculty. Since 2019, Prof. Dorota Jelonek has been the President of the Scientific Society for Economic Informatics and is a member of many societies, including the Polish Association for Innovation Management and the Informing Science Institute.
Prof. (Dr.) Munish Sabharwal is an accomplished academician, researcher, and proactive decision-maker with a diverse background and a passion for education and innovation. Possesses dual PhD qualifications in Computer Science (CS) and Management with a focus on Management Information Systems (MIS). He is a seasoned professional with over 25+ years of extensive experience in Teaching, Education Management, Research, and Software Development. He is currently working as Executive Director & Professor (CSE) at IILM University, Greater Noida, India. His present research interests include Data Science, AI & ML, Biometrics, and E-Banking.
Prof. (Dr.) Narendra Kumar is doctors of Computer Science & Engineering and Mathematics. He is working in NIMS Institute of Engineering and Technology, NIMS University Rajasthan, Jaipur. He has completed his M.Phil.(1994) with gold medal and Ph.D. (2003, 2012) from Dr. Bhimrao Ambedkar University, Agra. He has an academic experience for more than 28 years. He worked as Dean, Joint Director and Director in various universities. He has published more than two dozen books in the domain of mathematics, statistics and computer science and engineering, more than 70 research papers in national/ international journals. He has guided more than a dozen students for research degree. He has many patents in his credit and member of Board of studies in many universities. His key areas of research work are Mathematical modeling, Theory of relativity, Data science, Big data and brand management.
Prof. (Dr.) Karlibaeva Raya is a Full Professor of Economics at the Faculty of Finance of Tashkent State University of Economics. Her research interests are focused on solving problems related to the management of financial resources in enterprises, improving the management of cash flows and investment processes of enterprises. She is the author of 5 books and the editor of 9 monographs. In addition, she is the author or co-author of 137 articles in Uzbek and foreign journals and book chapters. She is the head of the Finance Department. Since 2019, Karlibaeva Raya has been a member of the Scientific Council for the defense of her PhD thesis and a member of many societies, including the Association of Corporate Governance under the Government of Uzbekistan
Content
List of Figures, List of Tables, Foreword, Preface, Acknowledgement, About the Editors, 1. The Application of the Internet of Things (IoT) in Creating Enhanced Industry 4.0 for Sustainable Growth and Development, 2. An Investigation of Machine Learning Approaches and their Impact on Resource Management & Sustainable Development, 3. Critical Determinants of the Internet of Things (IoT) in Supporting Business Performance among Small and Medium-Sized Enterprises, 4. Design and Empirical Analysis of a Machine Learning-Based Human Resource Management Processing Systems for Detecting Personal Stress, 5. An Empirical Analysis of Machine Learning and Strategic Management of Economic and Financial Security and its Impact on Business Enterprises, 6. The Implementation of the Internet of Things to Improve Industry 4.0 for Sustainable Growth in the Construction Sector, 7. Artificial Intelligence as a Contributing Factor for Economic Growth and Sustainable Development among Emerging Economies, 8. Detailed Investigation of Digital Transformational Strategies to Enhance Business Productivity, 9. An Empirical Analysis of Machine Learning (Ml) for Developing Sustainable Agricultural Business and Supply Chain Performance, 10. Development of Technological Advancement, Innovation and Machine Learning and their Influence on Entrepreneurship Business, 11. Implementation of Machine Learning On Entrepreneurship Business for Economic Development, 12. An Empirical Study of Artificial Intelligence on Financial Crisis for Human Resource Managers, 13. The Role of Machine Learning (ML) in Enterprise Architecture and its Impact on Business Performance, 14. Detailed Investigation of the Role of Artificial Intelligence and its Impact on Customer Relationship Management (CRM) to Enhance Customer Loyalty, 15. A Detailed Investigation of Implementing Artificial Intelligence and Business-to- Employee (B2E) e-business Model for Improving Customer Services, 16. The Contribution of Green Technology and Machine Learning Toward Developing Environmental Sustainability, 17. An Empirical Analysis in Understanding the Role of Blockchain Technology in Supporting Collaborative Economy in Emerging Economies, 18. Investigation of Machine Learning Approaches in the Financial Services, 19. An Overview of Exploring the Potential of Machine Learning Approaches on Financial Services Industry, 20. An Analysis of Artificial Intelligence Contributing the Performance Management of Professors in Educational, 21. Impact of Quality Management and the Internet of Things on Success Factors in a Large Enterprise, 22. A Comparison of the Effects of Robotics and Artificial Intelligence on Business Management and Economics, 23. A Resource-Based View Assessment of Artificial Intelligence and its Impact on Strategic Human Resources Quality Management Systems, 24. Role of Machine Learning in the Fields of Marketing Management and Strategic Human Resource Management, 25. Impact of Internet of Things on Cyber Security Risks and Its Solutions in Banking and Finance Sector, 26. A Privacy-Preserving Healthcare IoT Framework Using Blockchain Technology, 27. A Machine Learning Approach for Predicting Parkinson's Disease Using Big Data, 28. A Critical Evaluation Related to the Rise of Blockchain Technology in Supply Chain Management, 29. Analysing Challenges and Solutions of Implementing Enterprise Resource Planning and Development, 30. The Impacts of Artificial Intelligence on Management Decision-Making, 31. Development and Deployment of AI in Marketing Financial Services - Understanding the Managers and Study Insights, 32. AI-Driven Dynamic Resource Management in Cloud Computing Environments, 33. Entrepreneurship and Innovation in the Age of Artificial Intelligence: A Machine Learning Approach, 34. Evaluating Best Practices and Strategies to Protect Critical Assets Through Cybersecurity Management, 35. Use of Blockchain Technology in Banking Industry and Evolution of Digital Currency, 36. A Detailed Discussion about Managing Security Risks Associated with Cloud Computing, 37. Applications of the Internet of Things for Cyber Security and Data Privacy and Managing Future Trends, 38. An Analysis of Risks Associated with Information Security Management in Computer Networks, 39. The Critical Impacts of Technology on Various Organisational Structures: A Study Focusing on Current Digital Practices in This Digital Age, 40. Interaction of Human Workers and AI with Strategies of HRM: Assessment of Potentialities and Challenges in HRM, 41. Assessment of Personalised Engagement Using Artificial Intelligence and Marketing Implications in Financial Services, 42. AI Innovation and Implementation in Financial Services - Understanding Management and Gaining Perspective, 43. The Role Chatbots in Customer Service and Marketing, 44. Analysis of Social Media Marketing Impact on Consumer Behaviour, 45. Empirical Research on New Business Strategy in a Rising Economy: Managing Strategic Innovation of Business Model, 46. An Empirical Investigation on Reputation Risk Management Determinants, Value and Awareness from the Banking and Insurance Sector, 47. The Influence of Strategic Leadership and Organisational Invention on Strategic Management: The Mediational Function of IT Potential, 48. Employing Big Data Analytics to Compare Conventional Strategies for Financial Brand Communication Assessment, 49. An Empirical Investigation of the Organisational Behaviour of Citizens and Practices of Green Human Resource Management, 50. Security and Privacy Challenges in Distributed Database Management Systems, 51. The Influence of Power and Politics on Human Resource Management