Industry 5.0: Emerging Paradigms for Business, Technology, and Society
暫譯: 工業5.0：商業、科技與社會的新興範式

本書專注於揭示在工業5.0範式中利用整合性和凝聚性技術的細微差別，以解決商業和社會企業的問題，這些企業不僅需要具備競爭力，還必須為大眾創造持續的價值。

- 突顯技術演變及其對產業和社會的好處。
- 展示推動工業數位化的努力，並專注於人類操作韌性和工業5.0真正可持續性目標的創新方法。
- 涵蓋製造、金融、行銷和人力資源技術，以振興企業，提升其在多個領域政策制定者中的接受度。
- 討論如增材製造、智慧製造與智能、智慧物流及韌性製造網絡等主題。
- 提供有關智慧製造網絡、智慧城市、可持續城市發展和健康監測系統的案例研究。

本書主要為工業工程、製造工程、生產工程、商業管理、機械工程及工程管理等領域的高年級本科生、研究生及學術研究人員所撰寫。

Deergha Sharma is an associate professor of finance and Head of the Department of Management & Commerce at The NorthCap University, Haryana, India. She has authored more than twenty-five research publications featured in esteemed national and international journals, including those indexed in Scopus, Web of Science, and the ABDC Journal list. Her academic contributions also include an edited volume published by IGI Global (USA) and an Indian patent. Her primary research interests lie in banking operations, financial modeling, sustainability, decision-making, and the application of fuzzy logic in finance.

Manisha Gupta is currently working as an associate professor and Head of Department in Trinity Institute of Professional Studies Delhi . She has over 16 years of experience in academics and research. She has published research papers in journals and conferences of national and international repute. Her areas of research interest include consumer buying behavior, organizational behavior, and sustainability.

Raj K Kovid is Professor at School of Business, UPES (University of Petroleum and Energy Studies), Dehradun, India. His teaching and research area includes Market Strategy, M&A, Technology Adoption, Corporate Governance & CSR, Entrepreneurship & Innovation, . He has published research papers and book chapters in Scopus/ABDC indexed journals such as Management Decision, and edited books published by international publishers such as IGI, USA. He is involved with some journals in capacity of guest editor, board member and reviewer. His cases are available at Harvard Publishing, Emerald Publications and he has also conducted case method workshops. He has also consulted firms with respect to their growth strategies.

Thipendra P Singh is currently working as a Professor of Artificial Intelligence at Chandigarh University, Uttar Pradesh, India. Dr. Singh is also paneled as adjunct professor at School of Computing at Maryam Abacha American University of Nigeria. Dr. Singh holds prestigious fellowship of IEI. Beyond this he is also a senior member of IEEE and member of various other professional bodies including ACM, EAI, ISTE, IAENG etc. There are more than 120 publications to his credit in various National and International journals. He has been author/editor of more than 20 books on various allied topics of Computer Science.

Pradeep Kumar is currently a data analyst, at the Department of Social Development, in the Government of New Brunswick (GNB), Canada. He worked as a data analyst in computer vision with Eigen Innovations Inc. Fredericton. Prior to that, he was a Postdoctoral Fellow at the Institute of Biomedical Engineering at the University of New Brunswick, Canada. He has published more than 50 research articles in reputed journals and conferences. His expertise and research interests include human-computer interfaces, biometrics, time-series analysis, pattern recognition, and machine learning.

Ahatsham Hayat is a Graduate Research Assistant at the University of Nebraska-Lincoln, working in the Human-AI Learning (HAL 2.0) Lab. He serves as the lead scientist on the NSF-funded project AI for Behavior Interventions, where he designs AI-driven models to understand and support student learning and engagement through multimodal and longitudinal data. His research focuses on multimodal learning, time-series modeling, and enhancing the generalizability and robustness of deep learning systems. Ahatsham has published in top-tier conferences and journals and previously conducted research at ARDITI and MITI in Portugal, applying machine learning and computer vision to domains such as medical image analysis, agriculture, and educational technologies.

德爾哈·夏瑪是印度哈里亞納邦北方大學（The NorthCap University）的金融副教授及管理與商業系主任。她已發表超過二十五篇研究論文，這些論文刊登於多個受尊敬的國內外期刊，包括被Scopus、Web of Science和ABDC期刊列表索引的期刊。她的學術貢獻還包括由IGI Global（美國）出版的編輯書籍及一項印度專利。她的主要研究興趣包括銀行業務、金融建模、可持續性、決策制定以及模糊邏輯在金融中的應用。

馬尼莎·古普塔目前在德里三位一體專業研究所（Trinity Institute of Professional Studies Delhi）擔任副教授及系主任。她在學術和研究方面擁有超過16年的經驗。她在國內外知名期刊和會議上發表了研究論文。她的研究興趣包括消費者購買行為、組織行為和可持續性。

拉傑·K·科維德是印度德拉敦UPES（石油與能源研究大學）商學院的教授。他的教學和研究領域包括市場策略、併購、技術採用、公司治理與企業社會責任、創業與創新。他在Scopus/ABDC索引的期刊上發表了研究論文和書籍章節，如《管理決策》（Management Decision），以及由國際出版商如IGI（美國）出版的編輯書籍。他以客座編輯、編委和審稿人的身份參與一些期刊的工作。他的案例可在哈佛出版、Emerald Publications上找到，並且他也曾舉辦案例教學工作坊。他還就企業的成長策略提供諮詢服務。

提彭德拉·P·辛格目前在印度北方邦的昌迪加爾大學擔任人工智慧教授。辛格博士同時也是尼日利亞瑪莉亞姆·阿巴查美國大學計算機學院的兼任教授。辛格博士擁有IEI的榮譽獎學金。此外，他還是IEEE的高級會員，以及包括ACM、EAI、ISTE、IAENG等多個專業機構的成員。他在各類國內外期刊上發表了超過120篇論文。他是超過20本有關計算機科學相關主題書籍的作者或編輯。

普拉迪普·庫馬爾目前是加拿大新不倫瑞克省社會發展部的數據分析師。他曾在Eigen Innovations Inc. Fredericton擔任計算機視覺數據分析師。在此之前，他是加拿大新不倫瑞克大學生物醫學工程研究所的博士後研究員。他在知名期刊和會議上發表了超過50篇研究文章。他的專業知識和研究興趣包括人機介面、生物識別、時間序列分析、模式識別和機器學習。

阿哈特沙姆·哈亞特是內布拉斯加-林肯大學的研究生研究助理，工作於人類-人工智慧學習（HAL 2.0）實驗室。他擔任由國家科學基金會（NSF）資助的行為干預人工智慧項目的首席科學家，設計基於人工智慧的模型，以通過多模態和長期數據理解和支持學生的學習與參與。他的研究重點是多模態學習、時間序列建模，以及增強深度學習系統的普遍性和穩健性。阿哈特沙姆在頂級會議和期刊上發表過論文，並曾在葡萄牙的ARDITI和MITI進行研究，將機器學習和計算機視覺應用於醫療影像分析、農業和教育技術等領域。