Cyber-physical production system assessment within the manufacturing industries in the Amazon

Coelho, Moisés Andrade; Oliveira, Franciel Andrade de; Dessimoni, Lindara Hage; Libório, Nicole Sales

doi:10.4995/ijpme.2022.16130

Cited by 2 publications

(1 citation statement)

References 62 publications

(80 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Industrial Internet of Things (IIoT) (Danys et al, 2022) and Cyber-Physical Production System (CPPS) (Coelho et al, 2022;Nikolakis et al, 2020) respectively, and their specialisation to industry, Digital Twin (DT) (Hassani et al 2022;Jia et al, 2022), Internet of Things (IoT) (Twahirwa et al, 2022;Vitanova, 2021), and Cyber-Physical Systems (CPS) (Bellman et al, 2020;Radanliev et al, 2021), are thought to boost the efficacy of Facilities management (Nota et al, 2021). Based on the connection offered by the Industrial Internet of Things (IIoT) and the utilisation of many digital technologies, including cloud computing, big data, and artificial intelligence, Industry 4.0 has been proposed as a new stage of industrial development (Dos Santos et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Is the Concept of Industry 4.0 Still Interesting for Scientists due to the Emergence of Industry 5.0? Bibliometric Analysis

Michulek

Gajanova

2023

Economics and Culture

View full text Add to dashboard Cite

Research purpose. Through Industry 4.0, also referred to as the fourth industrial revolution, new technologies or traditional production resources have been transformed into intelligent objects enhanced by the possibility of identification, scanning, and networking. In recent years, the concept of Industry 5.0 has already started to be discussed. However, is Industry 4.0 an uninteresting or sufficiently researched topic for scientists? The main aim of the scientific article is to perform a bibliometric analysis of the Industry 4.0 issue. The aim was supported by six research questions that reflect the publication trend in the years 2012–2022, the most publishing countries, the most used keywords, the Web of Science category, and authors and publishers. Design / Methodology / Approach. The data was obtained from the renowned Web of Science database. The monitored period was 2012–2022 for Industry 4.0 and 2016-2022 for Industry 5.0. The year 2023 was excluded from the analysis, as the year 2023 is not finished. The total number of publications that were used in the bibliometric analysis was 20,151 (I4.0) and 293 (I5.0). VOSviewer and MS Excel were used for graphical data processing. Findings. The oldest publication dedicated to Industry 4.0 in the Web of Science database dates back to 2012. The most scientific articles were seen in 2021, namely 4,326 (I4.0) and 201 in 2022 about I5.0. In 2022, 3848 publications were published. In addition, authors from Germany (2,450), Italy (2,318), China (1,515), and the USA (1,220) address the issue of Industry 4.0. All the countries of the Visegrad Group, Poland (859), the Czech Republic (859), Slovakia (539), and Hungary (282) are most concerned with this problem. If the publications are divided into categories according to the Web of Science database, most of them are included in the categories Engineering Industrial, Engineering Manufacturing, Engineering Electrical Electronic, Computer Science Theory Methods, or Computer Science Information Systems. Publications on Industry 4.0 are published mainly by publishers such as IEEE, Elsevier, Springer, and MDPI. The authors who are most devoted to the mentioned issue are Popkova, Martinek, Rauch, Bogoviz, Silva, and Xu. Originality / Value / Practical implications. The added value of the scientific article is the summarisation of theoretical starting points from the field of Industry 4.0 and Industry 5.0. Likewise, the article is original from the point of view of conducting a bibliometric analysis, focused on the development of the number of publications, the authors who are most devoted to the given topic, the most commonly used keywords, or countries that focus on Industry 4.0 and Industry 5.0 issues the most. The originality of the article also lies in the mapping of the publications of the monitored issue for the entire previous year, 2022.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Is the Concept of Industry 4.0 Still Interesting for Scientists due to the Emergence of Industry 5.0? Bibliometric Analysis

Michulek

Gajanova

2023

Economics and Culture

View full text Add to dashboard Cite

show abstract

The future avenues of artificial intelligence and decision-making in business management

Bandeira,

Tortato

2024

RAM, Rev. Adm. Mackenzie

View full text Add to dashboard Cite

Purpose: In response to the growing integration of artificial intelligence (AI) and decision-making (DM) in business management, this study endeavors to provide a comprehensive understanding of the theoretical foundations, research trajectories, and emergent themes within this transformative intersection. By elucidating the evolving landscape of AI-driven decision-making, the research aims to offer valuable insights for scholars and practitioners, fostering informed decision-making practices and strategic advancements in contemporary business contexts. Originality/value: Methodologically, the study casts elements for AI and DM by conceptualizing, examining, and reviewing the field’s integration. The study also highlights the theoretical roots and classifies the main research themes in the literature strand. Design/methodology/approach: The study conducted a bibliometric analysis of 494 journal articles at the intersection of AI and DM in business management. It conducted two bibliometric analyses: co-citation analysis and co-occurrence analysis. The study also performed a qualitative review to criticize the obtained quantitative results. Findings: This research contributes to the domain’s understanding in three major ways. First, the theoretical roots by showing the most cited references. Second, the meta-analysis shows five pioneering studies in the literature suggesting the following research stages. Third, four distinct research themes are identified: 1. industry and society impact, 2. business strategies, 3. technological applications, and 4. decision systems. Lastly, the results highlighted research topics for future qualitative, quantitative, and mixed methods studies and provided recommendations for future research agendas alongside methodological theoretical and empirical guidelines for further investigations.

show abstract

Cyber-physical production system assessment within the manufacturing industries in the Amazon

Cited by 2 publications

References 62 publications

Is the Concept of Industry 4.0 Still Interesting for Scientists due to the Emergence of Industry 5.0? Bibliometric Analysis

Is the Concept of Industry 4.0 Still Interesting for Scientists due to the Emergence of Industry 5.0? Bibliometric Analysis

The future avenues of artificial intelligence and decision-making in business management

Contact Info

Product

Resources

About