A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

Journal of Economy and Technology, Год журнала: 2023, Номер 1, С. 127 - 143

Опубликована: Авг. 24, 2023

ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing (NLP) tool that comprehends and produces text in response to given commands. It can be adopted for various requirements, like answering our inquiries, assisting us with content creation, translating languages, more. The fourth industrial revolution, called "Industry 4.0," denotes a new production age focused on automation, digitalisation, real-time connectivity of systems. help Industry 4.0 variety ways. AI-driven process optimisation poised revolutionise by enhancing productivity, quality assurance, efficiency. For developing this paper, articles ChatGPT/ AI were identified through Scopus, ScienceDirect, Google Scholar ResearchGate. progresses due the incorporation cutting-edge technology AI, Machine Learning (ML), NLP Manufacturing operations are changing. language model becoming well-known daily use because its promising applications. In framework 4.0, it promises processes assist advancement boosting business productivity This paper studies major need 4.0. Various associated features, traits versatile competencies briefed. Finally, identifies discusses significant applications very flexible efficient method creating human-machine interfaces automatically generating text, which provides proper knowledge guidance employee. Applications include chatbots, virtual assistants, automated customer care, translation, production. future, will become effective communication automating

Язык: Английский

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Industry 4.0 towards social and environmental sustainability in multinationals: Enabling circular economy, organizational social practices, and corporate purpose

Journal of Cleaner Production, Год журнала: 2023, Номер 430, С. 139712 - 139712

Опубликована: Ноя. 9, 2023

Язык: Английский

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Artificial intelligence and innovation capability: A dynamic capabilities perspective

International Review of Economics & Finance, Год журнала: 2025, Номер unknown, С. 103923 - 103923

Опубликована: Янв. 1, 2025

Язык: Английский

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A systematic review of fourth industrial revolution technologies in smart irrigation: Constraints, opportunities, and future prospects for sub-Saharan Africa

Smart Agricultural Technology, Год журнала: 2024, Номер 7, С. 100412 - 100412

Опубликована: Фев. 15, 2024

The adoption of Fourth Industrial Revolution (4IR) technologies has revolutionized agricultural practices worldwide. However, their application in the context sub-Saharan Africa remains a critical challenge. This study presents systematic review that investigates potential 4IR smart irrigation. Sub-Saharan faces multiple challenges, exacerbated by climate change, water scarcity, and inefficient irrigation practices. need for sustainable, water-efficient, data-driven systems is urgent to ensure food security economic development region. addresses crucial knowledge gap assessing constraints, opportunities, prospects implementing Africa. A methodology was employed, utilizing reputable databases including Web Science, Google Scholar, Science Direct, Institute Electrical Electronics Engineers (IEEE) Xplore, PubMed. comprehensive search strategy designed identify peer-reviewed articles, conference papers, reports related Internet Things, Artificial Intelligence, Unmanned Aerial Vehicles, Big Data, Blockchain technology Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) approach used arrive at 95 articles included this research. reveals promising trends integration Data technology, drones are widely These have facilitated real time monitoring soil moisture weather conditions, precision scheduling, allocation optimization, rapid data collection, insights crop use transparency trust management among others. While evident, challenges limited infrastructure, access technical expertise pose significant barriers Additionally, high initial costs associated with these can impede widespread adoption. highlights leverage existing mobile phone penetration IoT collaborative partnerships, innovative financing models overcome financial constraints. Capacity-building initiatives transfer empower local communities embrace technologies. future relies on policy support, investments, diffusion strategies. It imperative create an enabling environment fosters innovation unique needs Collaboration between governments, academia, industry, international organizations catalyze transformative impact technologies, ultimately enhancing sustainability security.

Язык: Английский

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A review of digital twins and their application in cybersecurity based on artificial intelligence

Artificial Intelligence Review, Год журнала: 2024, Номер 57(8)

Опубликована: Июль 10, 2024

Abstract The potential of digital twin technology is yet to be fully realised due its diversity and untapped potential. Digital twins enable systems’ analysis, design, optimisation, evolution performed digitally or in conjunction with a cyber-physical approach improve speed, accuracy, efficiency over traditional engineering methods. Industry 4.0, factories the future, continue benefit from provide enhanced within existing systems. Due lack information security standards associated transition cyber digitisation, cybercriminals have been able take advantage situation. Access product service equivalent threatening entire collection. There robust interaction between artificial intelligence tools, which leads strong these technologies, so it can used cybersecurity platforms based on their integration technologies. This study aims investigate role providing for versions various industries, as well risks versions. In addition, this research serves road map researchers others interested security.

Язык: Английский

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The role of digital transformation in boosting CSR-driven green innovation among Yemeni manufacturing SMEs

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Сен. 27, 2024

Язык: Английский

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Industry 4.0 technologies in support of circular Economy: A 10R-based integration framework

Computers & Industrial Engineering, Год журнала: 2025, Номер unknown, С. 110867 - 110867

Опубликована: Янв. 1, 2025

Язык: Английский

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Exploring the nexus of institutional factors and regulatory focus in driving platform-based servitization and circular economy adoption

Technology in Society, Год журнала: 2025, Номер unknown, С. 102854 - 102854

Опубликована: Фев. 1, 2025

Язык: Английский

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Industry 4.0 and circular economy for bolstering healthcare sector: A comprehensive view on challenges, implementation, and futuristic aspects

Deleted Journal, Год журнала: 2024, Номер 1(2), С. 174 - 198

Опубликована: Июнь 1, 2024

Industry 4.0 technologies are also strengthening the circular economy and healthcare. It is accomplished by implementing methods to reduce waste undertake advanced sustainability initiatives. uses like Internet of Things (IoT), Cloud computing, Big Data, Artificial Intelligence (AI) enhance productivity, satisfy customers, generate new business opportunities. may immediately redirect a system, equipment, or worker who deviates from most effective path wasteful emissions. Due limited supply resources increasing demand discover sustainable manufacturing methods, conventional strategy has proven unsuccessful. In order need for resources, in which one sector repurposed as raw material another. brought forth technological advancements that fundamentally more than corporate methods. A lowers production limits exposure dangerous chemicals healthcare industry known The reuse, repair, recycling toxic-free materials products encouraged stop utilizing chemicals, using single-use items troublesome wasteful, take lead developing chains. developments assist lowering waste. Reuse opportunities increased, appropriateness improved, negative mining consequences minimized when pollution levels low. this paper, we have adopted review-based approach accomplish research objectives. This paper discusses its relationship with Studies specific practices Circular Economy philosophy Smart enablers Economy. Finally, it identifies role smart Machines human-machine interfaces record data cyber-physical systems then analyze historical behaviour Machine Learning (ML). main aim improve global health while taking social environmental responsibility. Creating product useful and, integrates well environment, can be recycled. By healthcare, organizations gain contribute models help them better outcomes, enhanced patient experiences, lower care costs.

Язык: Английский

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Evaluation of Data-Driven Sustainability Potential at SMEs Using an Altered Ecocanvas Model

Economies, Год журнала: 2025, Номер 13(2), С. 49 - 49

Опубликована: Фев. 13, 2025

Incorporating sustainability into business operations is likely to become one of the most significant priorities and challenges for companies in near future. SMEs operating within conventional frameworks often experience constraints when adjusting evolving circumstances. They frequently lack resources, qualified experts, skills, capabilities enable efficient implementation DT organization. In this paper, Eurostat datasets were analyzed uncover trends SME digitalization sustainability, focusing on patterns data utilization, employee training, environmental considerations. These insights integrated an altered Ecocanvas modeling tool develop a framework supporting their strategic planning decision-making. It has proven be useful purpose by mapping processes against goals while indicating where digital or alternative solutions can introduced. analyze consider impacts at different levels based size categories. To determine whether these differences are statistically significant, we have performed one-way ANOVA tests. This paper aims provide data-driven situational analysis tool, which outlines benefits analytics from several aspects offering practical recommendations company leaders implement.

Язык: Английский

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