Integration of Generative AI System to IoT Based Healthcare Systems 5.0 DOI
Janjhyam Venkata Naga Ramesh, Veera Talukdar, Ardhariksa Zukhruf Kurniullah

и другие.

Studies in systems, decision and control, Год журнала: 2024, Номер unknown, С. 199 - 217

Опубликована: Янв. 1, 2024

Язык: Английский

How robotics, processing techniques, food delivery apps and data technology enhance consumer choices DOI
Yuna Seo

Elsevier eBooks, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Public Administration 5.0 in Super Smart Society DOI
Bhupinder Singh, Anjali Raghav, Kittisak Jermsittiparsert

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 187 - 200

Опубликована: Фев. 28, 2025

Public Administration 5.0 represents a paradigm shift in governance where cutting-edge technologies like artificial intelligence (AI), Internet of Things (IoT), and blockchain are harnessed to develop efficient, citizen-centric, sustainable systems. Informed by Society principles, this new vision stands out for its emphasis on balancing technology with human-centric principles produce inclusivity, equity, well-being. These involve digital transformation, ethical AI deployment, participatory decision-making, equitable access technology. It also emphasizes the need viability building, public-private partnerships, international cooperation overcome challenges infrastructure gaps, divides, dilemmas. This chapter transformational capacity tackling wicked problems realizing Sustainable Development Goals (SDGs) providing clear implementation pathway. The Chapter ends insights directions research leading toward vision.

Язык: Английский

Процитировано

0

Leadership and Management in the Public Sector via E-Government and E-Governance in Public Administration Reform DOI
Bhupinder Singh,

Santosh Kumar,

Kittisak Jermsittiparsert

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 253 - 268

Опубликована: Фев. 28, 2025

The integration of e-government and is recognized as a transformative tool public administration reform in the digital era. These methods utilize technology such artificial intelligence, blockchain, big data to increase transparency, accountability, inclusivity governance process. role leadership managerial approaches needed for successful implementation e-governance have been focus this chapter changed dynamics. Data also elaborates on these by pointing out that administrative simplification, citizen participation, sustainability are some main objectives. ecosystem transformations bring challenges like technological gaps, cybersecurity risks, change resistance, divide. identifies innovative strategies policy recommendations remove barriers. Also, highlights importance adaptive collaborative turning vision government into reality.

Язык: Английский

Процитировано

0

Generative Artificial Intelligence in Adaptive Social Manufacturing: A Pathway to Achieving Industry 5.0 Sustainability Goals DOI Open Access
Parisa Jourabchi Amirkhizi, Siamak Pedrammehr, Sajjad Pakzad

и другие.

Processes, Год журнала: 2025, Номер 13(4), С. 1174 - 1174

Опубликована: Апрель 12, 2025

As manufacturing transitions from Industry 4.0 to 5.0, a critical challenge emerges in integrating Generative Artificial Intelligence (GAI) into adaptive social achieve sustainability goals. This transition reflects paradigmatic shift technology-centric model focused on automation and efficiency toward more holistic framework that embeds human-centricity environmental responsibility industrial systems. Whereas emphasizes digital innovation productivity, 5.0 seeks align technological advancement with broader ecological societal objectives. Despite advancements digitalization, existing frameworks lack structured approach leveraging GAI for environmental, social, economic sustainability. study explores the transformative role of manufacturing, addressing gap frameworks. Employing multi-method research design, including content analysis, expert-driven validation, system dynamics modeling, identifies nine key dimensions maps them 17 functions. The findings reveal significantly enhances by optimizing resource efficiency, promoting inclusivity, supporting ethical governance. System analysis highlights complex interdependencies between GAI-driven functions outcomes, underscoring need balance human values. provides novel industries seeking implement sustainable production systems, bridging theoretical insights practical applications. Additionally, it offers actionable strategies address challenges such as workforce adaptation, AI governance, adoption barriers, ultimately facilitating 5.0’s

Язык: Английский

Процитировано

0

Uncertainties of supply chain transition and integration for Industry 5.0: a review of operations management literature DOI
Christopher Durugbo

International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 23

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0

The research landscape of industry 5.0: a scientific mapping based on bibliometric and topic modeling techniques DOI Creative Commons
Abderahman Rejeb, Karim Rejeb, Imen Zrelli

и другие.

Flexible Services and Manufacturing Journal, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 30, 2024

Abstract Industry 5.0 (I5.0) marks a transformative shift toward integrating advanced technologies with human-centric design to foster innovation, resilient manufacturing, and sustainability. This study aims examine the evolution collaborative dynamics of I5.0 research through bibliometric analysis 942 journal articles from Scopus database. Our findings reveal significant increase in research, particularly post-2020, yet highlight fragmented collaboration networks noticeable gap between institutions developed developing countries. Key thematic areas identified include human-robot collaboration, data management security, AI-driven sustainable practices. These insights suggest that more integrated approach is essential for advancing I5.0, calling strengthened global collaborations balanced emphasis on both technological elements fully realize its potential driving industrial provides first comprehensive offering valuable researchers practitioners.

Язык: Английский

Процитировано

3

Navigating innovation in the age of AI: how generative AI and innovation influence organizational performance in the manufacturing sector DOI
Salman Khan, Shafaqat Mehmood, Safeer Ullah Khan

и другие.

Journal of Manufacturing Technology Management, Год журнала: 2024, Номер unknown

Опубликована: Дек. 12, 2024

Purpose Generative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable generating manifold forms content, including music, text, images and synthetic data. The purpose this study to analyze determinants that affect GenAI acceptance its outcomes on both explorative exploitative innovation. Design/methodology/approach employs a conceptual framework based technology-organization-environment (TOE) paradigm. Through Smart-PLS analysis, it examines empirical data retrieved from an online survey where 302 manufacturing companies took part. Findings It found has potential facilitate exploratory innovation, particularly via moderating effect environmental dynamism. Hence adoption improve organizational performance. Originality/value first project investigate factors influence firms' GenAI. As have integrated TOE paradigm when examining impact dynamism emphasizes double innovation in performance improvement.

Язык: Английский

Процитировано

2

A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing DOI
K.B. Mustapha

Advanced Engineering Informatics, Год журнала: 2024, Номер 64, С. 103066 - 103066

Опубликована: Дек. 27, 2024

Язык: Английский

Процитировано

2

A maturity model for assessing Industry 4.0 implementation using data envelopment analysis and best and worst method approaches DOI
Ahmad Saifizul Abdullah, Shantanu Saraswat, Faisal Talib

и другие.

International Journal of Productivity and Performance Management, Год журнала: 2024, Номер unknown

Опубликована: Окт. 24, 2024

Purpose The primary aim of this research is to conduct a comprehensive investigation into the essential elements Industry 4.0 implementation within Indian Micro, Small and Medium Enterprises (MSMEs). Acknowledging MSME sector as crucial contributor economy industrial development, study delves assessment MSMEs based on components. Additionally, it explores profound impact these components various performance factors, including organizational performance, sustainability human-related aspects. paper further ranks identified their significance sector. Design/methodology/approach Employing combination methodological approaches, utilizes Best Worst Method (BWM), Data Envelopment Analysis (DEA) calculates Maturity Index for BWM, recognized multi-criteria decision-making technique, initially applied determine weights rankings Furthermore, evaluates 30 MSMEs, spanning manufacturing service sectors, through DEA approach. are treated inputs, factors serve outputs. analysis collected questionnaires distributed selected MSMEs. Lastly, also calculated. Findings From result BWM method “assistive manufacturing” was found be highly weighted key component 4.0. out 13 SMEs were highlighted being efficient, whereas 17 judged inefficient. from maturity index calculation, overall determined 3.33 which shows that in its initial stage implementation, but has gained pace implementation. Practical implications contributes practical by offering more accurate state introduced proves instrumental pinpointing have received inadequate attention. This information managers policymakers, guiding them allocating resources effectively, addressing areas requiring attention facilitating progress serves valuable tool enhance operational efficiency. Originality/value research’s originality lies application approach, combining introduction context. By employing methodologies, not only identifies influential provides nuanced understanding relative significance. significantly broader adoption, particularly, vital findings researchers, practitioners policymakers seeking insights improving efficiency effectiveness era

Язык: Английский

Процитировано

0

Endüstri 4.0 ve 5.0'ın Pazarlama Karmasında Kullanımının Matematik Felsefesi İle Modellemesi DOI
Esen Gürbüz, Alp Eren

İzmir Yönetim Dergisi, Год журнала: 2024, Номер 5(2), С. 115 - 135

Опубликована: Дек. 17, 2024

Pazarlama faaliyetlerinin kısa açık ve net bir sınıflaması olan pazarlama karması elemanlarının (ürün, fiyat, tutundurma, dağıtım, fiziksel kanıt, insanlar süreç) Endüstri 4.0 5.0’ı içeren teknolojik gelişmelere bağlı olarak dönüşümünün açıklanması önemli olmaktadır. Bu açıklamanın matematik felsefesi ile ispatının mümkün olduğu, bu çalışmanın sonucu olarak, göz önünde bulundurulmalıdır. kapsamda elde edilen önermelere ilişkin sonuçların mantıksal analizi, elemanları arasında ilişki kuran koşullu ifadeleri içermektedir. çalışmada içerisinde bulunduğumuz 5.0 döneminde ki birbirleriyle entegre uygulanmasının, ortaya konulması, bugüne kadar alanda yapılan olmaması yönüyle özgün değerini oluşturmaktadır.

Процитировано

0