The Future Is Rosie?: Disempowering Arguments About Automation and What to Do About It DOI
Laurel D. Riek, Lilly Irani

Опубликована: Апрель 24, 2025

Язык: Английский

Human-centric production and logistics system design and management: transitioning from Industry 4.0 to Industry 5.0 DOI Open Access
Eric H. Grosse, Fabio Sgarbossa, Cecilia Berlin

и другие.

International Journal of Production Research, Год журнала: 2023, Номер 61(22), С. 7749 - 7759

Опубликована: Сен. 25, 2023

Industry 4.0 was presented more than a decade ago as the fourth industrial revolution, aiming to significantly raise level of sophistication interconnected technologies and thus increase manufacturing industries' profits. However, because technology-driven narrow focus on performance profit fails explain how prosperity for all stakeholders involved, European Commission has introduced concept 5.0. This vision overcomes weaknesses by paying explicit attention outcomes humans in system establishing an environment create human-centric, resilient, sustainable systems. Considering these developments, this position paper editorial introducing special issue International Journal Production Research elaborates transition from 5.0 through 10 papers focusing human-centric pillar its impacts production logistics design management. work presents guidance systemic approach needed future research: include empirically grounded works data-driven multimethod approaches that consider diversity operators human factors demands holistically order incorporate ethical implications missing – pursuit

Язык: Английский

Процитировано

79

A novel framework for artificial intelligence explainability via the Technology Acceptance Model and Rapid Estimate of Adult Literacy in Medicine using machine learning DOI
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis

и другие.

Expert Systems with Applications, Год журнала: 2024, Номер 248, С. 123375 - 123375

Опубликована: Фев. 5, 2024

Язык: Английский

Процитировано

24

Digital technology and manufacturing industrial change: Evidence from the Chinese manufacturing industry DOI

Weihong Xie,

Diwen Zheng,

Zhongshun Li

и другие.

Computers & Industrial Engineering, Год журнала: 2023, Номер 187, С. 109825 - 109825

Опубликована: Дек. 10, 2023

Язык: Английский

Процитировано

32

Evaluating the Impact of AI-Based Sustainability Measures in Industry 5.0: A Longitudinal Study DOI Creative Commons

Glazkova Valeriya,

Madhu Kirola, Manish Gupta

и другие.

BIO Web of Conferences, Год журнала: 2024, Номер 86, С. 01058 - 01058

Опубликована: Янв. 1, 2024

In the context of Industry 5.0, this long-term study assesses significant influence AI-based sustainability metrics. It also illuminates a novel paradigm in which artificial intelligence (AI) and human expertise work together to jointly drive sustainability, financial performance, employee satisfaction, overall ecological responsibility. AI-driven efforts produced surprising 12% reduction trash creation, an amazing 7% energy usage, 8% drop CO2 emissions over five-year period. Financially speaking, these actions showed up as steady 4% annual revenue growth, $2 million cost reductions on average each year, cumulative 3.4% gain return investment. The factor is even more notable, with satisfaction ratings rising from 4.2 4.7 work-life balance scores significantly 4.1 4.6. By 2024, 70% workers will have adopted AI, demonstrating how essential AI has become working. An all-encompassing score that included dynamic components increased 60 75 indicating general improvement sustainability. This emphasizes mutually beneficial relationship between 5.0. shows fosters sustainable balanced industrial future by improving environmental responsibility workforce while producing benefits.

Язык: Английский

Процитировано

12

From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector DOI Creative Commons
Abdo Hassoun, Sandeep Jagtap, Hana Trollman

и другие.

Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2024, Номер 23(6)

Опубликована: Окт. 22, 2024

Abstract Although several food‐related fields have yet to fully grasp the speed and breadth of fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that 5.0 (referring fifth revolution) is already underway. Food 4.0 has been characterized by fusion physical, digital, biological advances in food science technology, whereas future could be seen a more holistic, multidisciplinary, multidimensional approach. This review will focus on identifying potential enabling technologies harnessed shape coming years. We state‐of‐the‐art studies use innovative various agriculture applications over last 5 In addition, opportunities challenges highlighted, directions conclusions drawn. Preliminary evidence suggests outcome an evolutionary process not revolution, often claimed. Our results show regenerative and/or conversational artificial intelligence, Internet Everything, miniaturized nanosensors, 4D printing beyond, cobots advanced drones, edge computing, redactable blockchain, metaverse immersive techniques, cyber‐physical systems, digital twins, sixth‐generation wireless beyond are likely among main driving 5.0. framework, vision, value becoming popular research topics academic fields, agri‐food sector just started embrace some aspects dimensions

Язык: Английский

Процитировано

11

Cobotics: The Evolving Roles and Prospects of Next‐Generation Collaborative Robots in Industry 5.0 DOI Creative Commons
Md. Mijanur Rahman, Fatema Khatun, Ismat Jahan

и другие.

Journal of Robotics, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

The emergence of Industry 5.0 marks a transformative era in manufacturing industry that is driven by the integration advanced technologies. It renewed focus on human–robot collaboration. At forefront this industrial revolution stands Cobotics, field emphasizes cooperative interaction between humans and robots shared workspaces. This research paper delves into critical role implications Cobotics context 5.0. study addresses problem effectively integrating Cobots processes, considering technical, economic, social challenges. paper’s objectives include surveying existing literature, analyzing developments trends, showcasing real‐world examples, proposing future directions. A comprehensive literature review explores Cobotics’ foundations its alignment with principles. presents examples successful Cobot across various industries, demonstrating benefits such as increased productivity, improved quality, enhanced worker safety. identifies gaps knowledge contributions to field, emphasizing need for simplified programming, cost–benefit analysis, ethical frameworks. illuminates central 5.0, where collaboration, innovation, inclusivity are paramount. anticipates will continue evolve, shaping empowering workforce, driving sustainable, data‐driven transformations.

Язык: Английский

Процитировано

8

We belong together - A system-level investigation regarding AGV-assisted order picking performance DOI Creative Commons

Jonas Koreis,

Dominic Loske, Matthias Klumpp

и другие.

International Journal of Production Economics, Год журнала: 2025, Номер unknown, С. 109527 - 109527

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Enhancing intellectual experiences for users: a multidimensional model of humanoid service robots in hospitality and tourism DOI

Mingyao Wu,

Serene Tse, Vincent Wing Sun Tung

и другие.

International Journal of Contemporary Hospitality Management, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

Purpose Intellectual experiences focus on users’ information processing and critical thinking toward stimuli. The deployment of humanoid service robots as novel stimuli in tourism hospitality has influenced perceptions may affect their intellectual engagement. This paper aims to connect four contemporary theoretical concepts: the robot acceptance model, technological fear, uncanny valley theory stereotype content investigate robots. Design/methodology/approach Scale development procedures were conducted: literature review, checking face validity, factorizing items dimensions, achieving construct criterion validity testing predictive validity. Findings Through review free-response tasks, 43 measurement generated. Next, 1,006 samples from two cross-cultural groups refined scale. Finally, a reliable valid scale with dimensions measuring was determined. Practical implications Humanoid should be designed enhance functionality innovativeness while minimizing stiffness, inflexibility, unsafety danger improve Originality/value study provides examination by connecting theories perceptions. enriches human–robot experience through an integrated perspective presents rigorous scale’s psychometric properties. A for fills gaps serves effective predictor literature.

Язык: Английский

Процитировано

1

Artificial Intelligence for Management Information Systems: Opportunities, Challenges, and Future Directions DOI Creative Commons
Stela Stoykova, Nikola Shakev

Algorithms, Год журнала: 2023, Номер 16(8), С. 357 - 357

Опубликована: Июль 26, 2023

The aim of this paper is to present a systematic literature review the existing research, published between 2006 and 2023, in field artificial intelligence for management information systems. Of 3946 studies that were considered by authors, 60 primary selected analysis. analysis shows most research focused on application AI intelligent process automation, with an increasing number focusing predictive analytics natural language processing. With respect platforms used researchers, study finds cloud-based solutions are preferred over on-premises ones. A new trend deploying applications at edge industrial networks utilizing federated learning also identified. need focus efforts developing guidelines frameworks terms ethics, data privacy, security adoption MIS highlighted. Developing unified digital business strategy overcoming barriers user–AI engagement some identified challenges obtaining value from integration.

Язык: Английский

Процитировано

14

Reviewing and conceptualising the role of 4.0 technologies for sustainable warehousing DOI
Sara Perotti, Luca Cannava,

J. M. Ries

и другие.

International Journal of Production Research, Год журнала: 2024, Номер unknown, С. 1 - 33

Опубликована: Сен. 12, 2024

Язык: Английский

Процитировано

5