Next Article in Journal
You Say Tough, I Say Hope: An Effect of CEO Regulatory Focus on Corporate Social Performance under Challenging Market Conditions
Previous Article in Journal
Conceptualizing How Collaboration Advances Circularity
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sustainability
Volume 15
Issue 6
10.3390/su15065554
sustainability-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Industry 5.0: Tracking Scientific Activity on the Most Influential Industries, Associated Topics, and Future Research Agenda

by
Lorena Espina-Romero
1,*,
Jesús Guerrero-Alcedo
2,
Niria Goñi Avila
1,
José Gregorio Noroño Sánchez
3,
Humberto Gutiérrez Hurtado
1 and
Aura Quiñones Li
4
1
Escuela de Postgrado, Universidad San Ignacio de Loyola, Lima 15024, Peru
2
Carrera de Psicología, Universidad Científica del Sur, Lima 15067, Peru
3
Facultad de Derecho, Universidad del Sinú “Elías Bechara Zainúm”, Monteria 230001, Colombia
4
Escuela de Posgrado, Universidad César Vallejo, Lima 15314, Peru
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(6), 5554; https://doi.org/10.3390/su15065554
Submission received: 18 February 2023 / Revised: 18 March 2023 / Accepted: 19 March 2023 / Published: 22 March 2023
Browse Figures
Review Reports Versions Notes

Abstract

:
Industry 5.0 arrived and sounded the alarms, warning entrepreneurs to adopt it as quickly as possible; the advantage is that this industry is still in its preliminary stages. However, there is little research on this model in the literature. In this context, the objective of this study was to analyze the current state of industry 5.0 in 215 publications from the Scopus database during the period 2019–2022. The applied methodology was quantitative analysis, with a bibliometric approach supported by the VOSviewer and RStudio software, in addition to the Microsoft Excel application. The results showed: (1) an exponential growth of article and conference paper publications in 2022, all indexed in journals of subject areas such as engineering and computer science; (2) four more industries influenced by i5.0, where the electronics sector leads well above manufacturing, energy and public service; (3) seven research topics associated with i5.0 that deal with the transition from industry 4.0 to 5.0; and (4) six little-explored research topics that would help i5.0 move to a new stage and which are related to environmental sustainability, social sustainability, cobots, bioeconomy, smart cities, and sentiment analysis. This study found a gap in the industry 5.0 literature; therefore, this document serves as a guide for future research.

1. Introduction

While many organizations are still absorbing the meaning of Industry 4.0 (i4.0), Industry 5.0 (i5.0) is just around the corner, forcing us to be ready to face new challenges [1,2]. Industry 5.0 establishes a new orientation that complements the criteria established by Industry 4.0 and tries to go beyond profitability and economic productivity by considering three pillars, including the well-being of people, resilience, and sustainability [3,4,5]. During i4.0 an attempt was made to control human activity favoring the automation of processes by making man compete with the machine, displacing the human from many scenarios. But in i5.0, there is an intention to reach a middle ground where human-machine interaction brings maximum benefits, including cost optimization due to efficient processes, greener solutions, and creative customization demanded by customers [6,7,8,9]. It can be said that i4.0 integrates innovative technologies to change the value chain, while i5.0 integrates those technologies with the ability to solve the problems of a person.
Industry 5.0 can be defined as the recent technological revolution whose intention is to transform industry into intelligent structures supported by cognitive computing and the Internet of Things. It tries to put artificial intelligence at the service of people by connecting machines with humans [6,10,11]. This industrial model promotes the economic productivity of the business sector, ensuring the sustainability of the environment, therefore, the high energy consumption of this sector, due to the use of innovative technologies, obliges a progressive show of rational and favorable parameters within this medium [12,13].
For the optimal operation of i5.0 two fundamental elements are required, viz., specialized personnel in human-machine interaction for safe decision making, and technology designed to make interaction with humans simple and intuitive [14]. With industry 5.0 there will be a significant strengthening of artificial intelligence, making it possible to have virtual assistants that are smarter than a person, and who will support decision-making and identify the competitive advantage of a worker in their job [14,15,16]. In the same way, it will facilitate the development of customized merchandise, since today there are endless products that are about to adapt to individual needs with the deployment of cobots. For all the above to be effective, the assistance of collaborative robots is essential [17,18,19].
On the other hand, production control systems are always more intuitive and friendly, and are extremely helpful for industrial sectors in the face of the shortage of specialized personnel [20]. Several industries, especially from privileged sectors such as technology (Apple), automotive (Tesla Motors), and aviation (Boeing), took the lead and defined a new way of seeing the world with the new changes. The automotive sector was one of the leaders in incorporating cobot technologies, integrating them as key elements within assembly lines. Dangerous and repetitive activities such as assembly, painting, and welding were automated, while humans took care of the more elaborate activities and maintenance of the robots [7].
Various studies on i5.0 were identified in the literature. For example, Nahavandi [21], Özdemir, and Hekim [22], Javaid and Haleem [23], and Martynov et al. [24] developed studies around “artificial intelligence”. As for studies on the “internet of things”, these were conducted by Sarma et al. [9], Aslam et al. [25], Maddikunta et al. [26], and Elim and Zhai [27], among others. With reference to research on “sustainable development”, these were elaborated by Saniuk et al. [2], Sindhwani et al. [4], and ElFar et al. [28], among others. On the other hand, the authors Doyle-Kent and Kopacek [10], Xu et al. [6], Demir and Cicibaş [29], and Gürdür Broo et al. [30] studied the “industrial revolutions”. In contrast, the studies of Huang et al. [31], Rožanec et al. [32], Ivanov [33], and Tropschuh et al. [34], addressed the “human-centric”.
Grabowska et al. [5], Johri et al. [14], Chin [35], and Mladineo et al. [36], among others, addressed “sustainability”. On the other hand, Thakur and Kumar Sehgal [37] and Verma et al. [38] oriented their studies to “embedded systems”. Regarding research on “technology”, there are those developed by Alvarez-Aros and Bernal-Torres [39], Rupa et al. [40], and Zizic et al. [41]. In contrast, Akundi et al. [42], Jabrane and Bousmah [43], Monteiro et al. [44], and Sachsenmeier [45] preferred to analyze “big data”. There are also studies associated with “cyber-physical systems”, including those developed by Fernandes et al. [46], Garcia et al. [47], Martins et al. [48], Patera et al. [49], and Sverko et al. [50].
Several review-type studies in the i5.0 literature were also identified and analyzed to pinpoint what was studied from a scientometrics perspective [51,52,53,54,55]. Each of these studies was found to be focused on a particular topic, but none made a comprehensive identification of the topics associated with i5.0, nor did they identify the most influential industry sectors. For these reasons, a bibliometric review was carried out to map the studies carried out in this field, in addition to identifying existing gaps in knowledge. It is important to highlight that this bibliometric exploration is accompanied by a bibliographic approach to find out the perceptions of the group of authors involved in the elaboration of the documents chosen in this analysis. From this point of view, this study formulated the following research questions:
  • RQ1. How does the core knowledge of the Industry 5.0 field evolve over time?
  • RQ2. What are the most influential industries in the field of knowledge of Industry 5.0?
  • RQ3. What are the topics associated with Industry 5.0?
  • RQ4. What are the topics associated with Industry 5.0 suggested for future research?
To address the research questions, the Results section is structured as follows: avsummary of the main information, the most influential industrial sectors, associated topics, and future research agenda.

Literature Review: Industry 5.0

There is much controversy over the definition of Industry 5.0 within the business and academic sectors. Different reasons offered by researchers give primacy to i5.0. Specifically, Özdemir and Hekim [22] managed to define i5.0 as the gradual evolutionary improvement of i4.0 that can enable “symmetric innovation” to address the shortcomings of the i4.0 innovation ecosystem. On the other hand, researchers such as Nahavandi [21] and Leng et al. [56] have rebuked the productivity-centricity of i4.0, arguing that i5.0 shows the beginning of human-oriented industrial sector activities induced by changes in recent technologies that favor human-machine joint participation. Consequently, productivity, the work environment, and employment are improved.
Despite offering different views on this development, these reviews agreed on two basic aspects of i5.0. First, early research identified i4.0 and the digital transformation behind it as having issues with technology centricity and the digital divide [1]. Recent research such as the Grabowska et al. [5] study describes such drawbacks of i4.0 contrary to sustainability. Second, scholars consider that, although i5.0 builds on technological elements of i4.0 [41], it is linked to technological changes such as energy transitions technologies and smart materials, cognitive artificial intelligence, among others [26].
The evolution of the i5.0 model took a turn when the European Community published a report on Europe’s future industrial agenda. This report proposed that i5.0 should be perceived as a continuous evolution of the current i4.0 model and not as a replacement for it. Although this report points out that i5.0 focuses on human beings and sustainability, it proposes that this model should facilitate technological innovation to be profiled for the benefit of social and environmental development [57].
The European Commission published its Industry 5.0 agenda in 2021 with the aim of a sustainable, human-centered, and resilient industry. According to it, i5.0 is a complementary stage extending the i4.0 model to favor recent social and environmental expectations [58]. The European Commission, in early 2022, adopted an attitude towards i4.0, stating that this model should not be considered as a framework conducive to addressing social tensions and the climate crisis [59]. This report proposes that i5.0 is an original approach for the industrial sector, rethinking the task and performance of value chains, digital transformation, and business management models in the hyper-connected industrial sector.
From this European Commission report [59] and recent research [5,26], i5.0 is different from i4.0 in five aspects: (1) i5.0 weighs productivity-driven competitiveness and sustainable development; (2) i5.0 empowers the workforce by strengthening people-centered strategies for technological development; (3) i5.0 relies on effective technologies and standards to increase the scope of application of industrial responsibility within the value chain; (4) i5.0 drives the preeminence of stakeholders in innovation development, technology management, and sustainability performance management; and (5) i5.0 drives technological innovation in the field of environmental sustainability.
At present, there is a general opinion on how the i5.0 model differs from the previous ones. This difference is that i5.0 represents a social and technological event driven by stakeholders who invariably transform conservative business models into resilient, circular, regenerative, and sustainable business models.

2. Methodology

This manuscript is based on bibliometric analysis [60]. The five steps that Zupic & Čater recommended in their research were put into practice [61]. Among them are “study design”, “bibliometric data collection”, “analysis”, “visualization” and “interpretation” (Figure 1).

2.1. Study Design

This bibliometric study formulated four research questions (RQ1, RQ2, RQ3, and RQ4) in the Introduction section. For RQ1, Microsoft Excel vertical and horizontal column charts were used to show changes in data during 2019–2022 and/or to illustrate comparisons between items (year, country, subject area, document type, and most relevant sources). For RQ2, a bibliometric methodology known as “keyword co-occurrence analysis” in “overlay display” was used to show the terms that allow us to derive the most influential industry sectors in i5.0. For RQ3, the conceptual structure bibliometric method called Thematic Map was used to show the topics associated with i5.0. For RQ4, the bibliometric-type methodology known as “keyword co-occurrence analysis” under “network visualization” was used in order to show the keywords with minimal co-occurrence, which allows us to indicate the topics associated with i5.0 for future studies.

2.2. Bibliometric Data Collection

Scopus was used because it is a very complete database, and many of its articles are also simultaneously indexed in other databases. In the Scopus database, the terms “Industry 5.0” or “i5.0” or “human-centered Industry 4.0” were searched in the search field TITLE-ABS-KEY. The rationale for the selection of the three search terms is that, after a review of the literature, they were found to be the most linked to industry 5.0, i.e., they had a high number of co-occurrences. The search returned 530 documents, then was narrowed down to All Open Access, and the search returned 232 records. To obtain recent literature, it was delimited to the period 2019–2022, obtaining 218 records. The types of documents “Letter” and “Editorial” were excluded because we needed research with results, obtaining 215 records. This search includes all countries/territories and all subject areas (Figure 2). The advanced query was as follows: “TITLE-ABS-KEY (“industry 5.0” OR “i5.0” OR “human-centered Industry 4.0”) AND (LIMIT-TO (OA, “all”)) AND (LIMIT-TO (PUBYEAR, 2022) OR LIMIT-TO (PUBYEAR, 2021) OR LIMIT-TO (PUBYEAR, 2020) OR LIMIT-TO (PUBYEAR, 2019)) AND (LIMIT-TO (DOCTYPE, “ar”) OR LIMIT-TO (DOCTYPE, “cp”) OR LIMIT-TO (DOCTYPE, “re”) OR LIMIT-TO (DOCTYPE, “ch”))”.

2.3. Analysis

In this step the uploaded information went through the conversion process to guarantee its quality and feasibility. The information is derived from Scopus in CSV format to be loaded into the VOSviewer, RStudio and Microsoft Excel 365 software.

2.4. Visualization

This study was developed with vertical and horizontal column charts made by Microsoft Excel 365 to show the evolution of knowledge in the i5.0 field (year, country, subject area, type of document, and sources). On the other hand, it was developed under the Thematic Map of the RStudio statistical package to indicate the clusters of the topics associated with Industry 5.0. In parallel, this review was developed under the “keyword co-occurrence analysis” of the VOSviewer software to show the most influential industries and under-explored i5.0-associated topics.

2.5. Interpretation

In this fifth step, the findings were exposed and interpreted, in line with the four research questions of this study: the results of the knowledge evolution of the i5.0 field over time, the most influential industries in Industry 5.0, the topics associated with i5.0, and the associated topics to i5.0 few explored. The conclusions were developed in accordance with the specific objectives for the construction of the final document.

3. Results and Discussions

3.1. Summary of Main Information

Table 1 shows the period registered in Scopus about Industry 5.0, that is, from the year 2019 to 2022. The total number of documents (n = 215) indexed during the indicated period with an annual growth rate of 214.81% is also indicated. The manuscripts cite 15111 references. On the other hand, 790 authors contributed with these documents, managing to index 867 author keywords. The percentage of international co-authorship is 36.74%, where the average number of co-authors per document is 4.01.
The table also shows the four document types used by the 790 authors who contributed to the 215 publications in this bibliometric study. “Article” leads with 151 documents [62,63,64,65,66,67,68,69,70,71]. It is followed in second place by “Conference paper”, with 37 publications [72,73,74,75,76,77,78,79,80]. In third place is “Review”, with 26 studies [52,53,54,55,81,82]. “Book chapter” occupies the fourth position with 1 document [83].
It should be noted that both articles and conference papers add up to 188 documents; that is, they represent 87.44% of original studies that have valuable information for the preparation of this bibliometric study.

3.1.1. Annual Scientific Production and Average Citation Per Year

According to Figure 3, 2019 registered 5 publications with a high citation average of 24.20 and related to human-robot collaboration. An investigation related to this year is the so-called “Industry 5.0 and Human-Robot Co-working” developed by Demir et al. [17], where conflicts because of shared human-robot work are discussed from the perspective of the human worker and the organization, they also state that these identified conflicts could be key to future research on organizational robotics. Other studies for this year, 2019, were identified [21,24,29,84].
2020 counted 14 studies and a citation average of 8.19; the documents increased by 180% compared to 2019 but its citation average dropped by 66.15%. The 2020 studies focus on the Internet of Things. A study related to this year is one called “Innovation in the era of IoT and Industry 5.0: Absolute Innovation Management (AIM) framework” prepared by Aslam et al. [25], which proposed a novel design to manage innovation called “Absolute Innovation Management (AIM)” in order that innovation can be understood, implemented, and be part of the agenda of organizations to achieve goals, competitiveness and economic growth, on the one hand, and simultaneously addresses the demand for the Internet of Things in the i5.0 era. Other studies were identified for the year 2020 [1,23,27,44,85,86].
In 2021, with 40 documents, there was an increase of 286% compared to 2020, but its citation average remained at 7.88, and here the studies were associated with Artificial Intelligence and sustainability. Among these studies is the paper “Prospects of Industry 5.0 in algae: Customization of production and new advance technology for clean bioenergy generation” prepared by Elfar et al. [28], who affirm that today, clean, sustainable, and profitable energy is required given regulations in the supply of fuels from petroleum. The industrialization of algae is an essential step to realize the high energy demand and thus be able to reach SDGs. Several elements were discussed in this study, among them the environmental and economic valuation of algae-based bioenergy production, the customization of this bioenergy, and the evolutions in the algae harvesting method. Other studies from the year 2021 were identified [6,14,19,40,43,87,88,89].
Finally, in 2022 it registered 156 manuscripts, showing an increase of 390% compared to 2021, but its citation average dropped 58% to 3.30. This year’s investigations were related to the i4.0 to i5.0 transition, the Internet of Things, artificial intelligence, and sustainable development. One of the investigations of the year 2022 was developed by Adel [81] and is called “Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas”. This study affirms that business productivity is increasing thanks to smart factories. He also points out that customer satisfaction has risen due to the customization of products. The purpose of this research was to analyze the possible applications of i5.0, discuss the definitions of this industry, and analyze the technologies required by it. Other studies registered for the year 2022 were identified [11,16,18,26,30,42,71,90,91].
This exponential growth in publications from 2019 to 2022 makes it clear how the disruptions of COVID-19 accelerated the beginning of the adaptation process from Industry 4.0 to 5.0. In fact, most of the 2022 research is focused on the transition between these two paradigms.

3.1.2. Countries with Scientific Production and Total Citations

A total of 69 countries are involved in the preparation of the 215 documents, so that a manuscript could be recognized by two or more countries. Figure 4 shows the 10 countries with the most documents and total citations (TC). In first place is China (n = 22; TC: 167) [92,93,94], followed in second place by Italy (n = 21; TC: 159) [63,95,96], in third position and very similar to Italy is the United States (n = 21; TC: 157) [69,97,98], in fourth position is the United Kingdom (n = 20; TC: 93) [72,99,100], fifth place is occupied by India (n = 16; TC: 15) [22,23,84]. In sixth and seventh place are Germany and Spain, with (n = 13; TC: 9) [32,73] and (n = 13; TC: 66) [101,102], respectively, but Spain comes out more favored due to its high TC. In eighth position is Sweden with (n = 12; TC: 13) [47], in ninth place is Poland with (n = 11; TC: 49) [2,62], and South Korea occupies the tenth position with (n = 10; TC: 7) [2,53,62].
Of the 198 countries that make up world geography, only 69 contributed to industry 5.0 research, a global participation of 34.85%. These 69 countries are spread over five continents. The percentage of participation by continent is discussed below. Of the 54 countries that make up Africa, only six contribute, i.e., a 11.11% participation. From America only 5 nations out of 35 contributed for a 14.28% participation. Of the 48 Asian countries, 23 managed to contribute with studies on the variable in question, for a 47.91% participation. For its part, Oceania contributes with three countries out of its fifteen, obtaining a 20% share. On the other hand, Europe achieves the highest participation with 69.57% by obtaining from its 46 nations the contribution of 32 of them. These statistics allow us to infer that there is a limited number of studies on Industry 5.0, the weak points being Africa, America, and Oceania. It should be noted that a manuscript can be registered by one or more nations, therefore, the sum of all the manuscript in this section (n = 336) will never match the total number of documents registered in the main information (n = 215).

3.1.3. Registration of Documents by Subject Area

In the methodological design, it was noted that there was no exclusion of any of the thematic areas. In the same way that the registration of documents by country was counted, so too the registration of documents by thematic area was done; i.e., a manuscript can be counted by two or more subject areas linked in this study. Figure 5 shows the 18 subject areas covered in this study.
Engineering (n = 100) and Computer Science (n = 100) register documents with a total 400% higher than Business, Management and Accounting (n = 25) and Social Sciences (n = 24). Mathematics and Decision Sciences count the same number of documents individually (n = 20). These are followed by Materials Science (n = 19), which is followed by Physics and Astronomy (n = 17), and Energy (n = 13). Environmental Science and Chemical Engineering also share the same number of manuscripts (n = 12). Chemistry (n = 9), Biochemistry, Genetics and Molecular Biology (n = 7), Economics, Econometrics and Finance (n = 6), Medicine (n = 3), Arts and Humanities (n = 2), and Agricultural and Biological Sciences (n = 2) follow. Finally, in last place is Multidisciplinary (n = 1).
Engineering and Computer Science are the subject areas that stand out the most in this analysis, and this is because engineering education, especially industrial engineering, is the one that is best equipped to face the challenges created during the transition to Industry 5.0. For these challenges, they rely on Computer Science, which helps to describe and transform valuable information for this change. An example of a registered study for these two subject areas, i.e., Engineering and Computer Science, is the one entitled “Industry 4.0 and Industry 5.0—Initiation, conception and perception”, which was prepared by Xu et al. [6]. This study posits that technology is what drives i4.0, while value is what drives i5.0. For these authors, the presence of these two paradigms requires investigation, therefore, it also needs more debate and details.

3.1.4. Most Relevant Sources, Citation, and Impact Measure (h_Index)

Figure 6 shows the ten most relevant sources of the 121 that contribute to this study. The figure was designed with three bars, the one in blue represents the number of documents indexed for each source, the brown bar indicates the number of manuscripts that have cited the documents represented in the blue bar, and finally, the bar red shows the h_index of each source.
The IEEE Transactions on Industrial Informatics source leads with 14 papers and has been cited by 7 manuscripts, retaining an impact measure of (h_index = 5). CEUR Workshop Proceedings records 6 documents being cited by three manuscripts and its impact measure is (h_index = 1). The six documents indexed by Sensors have managed to be cited by 74 manuscripts, leaving with an impact measure of (h_index = 2). Likewise, the source Sustainability (Switzerland) registers six publications, but is only cited by one manuscript, this source shows a (h_index = 3). Applied Sciences (Switzerland) counts 5 documents cited by 12 manuscripts and its impact measure is (h_index = 3). Journal of Manufacturing Systems also totals 5 documents and is cited in 22 articles, showing a (h_index = 4).
IEEE Access indexes four documents and is cited in 147 articles, showing a (h_index = 2). Lecture Notes in Mechanical Engineering records 4 papers cited by a single manuscript, it has a (h_index = 4). Applied System Innovation totals three papers cited by three articles, shows a (h_index = 3). Finally, we have Computers and Industrial Engineering with three papers that were cited by a single manuscript, (h_index = 2) is attributed.
It should be noted that IEEE Access and Sensors are the two most cited sources despite their low document records.

3.2. Most influential Industries in Industry 5.0

Figure 7 shows the terms related to industry 5.0 during 2019–2022. These were loaded into the VOSviewer software to generate the figure. The type of analysis called “co-occurrence” was applied, the unit of analysis was “keywords”, the counting method was “fractional counting”, with a minimum number of “occurrences” of a keyword (n = 3).
All the terms obtained were ordered in Table 2 according to the weight of the “occurrences”, the average year of publication and the most influential industrial sector. Below the table, influential industry sectors are discussed.
According to Table 2, the interest in industry 5.0 between 2020 and 2022 is noted by the increase in publications in this period. The data resulting from the table is categorized to identify the influential industry sectors in Industry 5.0. During the categorization, the industrial sector identified as All Industry was excluded because it has terms that are valid for the rest of the sectors. In total, four industries were specified, from the most influential to the least influential: Electronic, Manufacturing, Energy, and Public Service.
(1)
Electronic: the most influential sector in industry 5.0, the related terms are artificial intelligence, internet of things, embedded systems, big data, cyber-physical systems, robotics, blockchain, machine learning, edge computing, human-robot collaboration, deep learning, software, cloud computing, cobots, etc. An investigation related to this industrial sector is the so-called “Industry 5.0: Ethereum blockchain technology based DApp smart contract” developed by Rupa et al. [40]. This study designed an application supported by the blockchain to manage clinical certificates using the Remix Ethereum blockchain. This application accelerates the analysis of the rate of births, diseases, and deaths according to location and date. Five other studies related to this sector were identified [18,21,22,25,26].
(2)
Manufacturing: the second most influential sector, the related terms are smart manufacturing, machinery, manufacturing industries, and manufacturing process. This sector is experiencing changes because of the COVID-19 pandemic; in fact, research on this sector begins to stand out from the beginning of 2021 to 2022. A document linked to this industrial sector is the so-called “Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions” which was developed by Tran et al. [103]. This study provides a systematic description of Brownfield development in the legacy system. The scope of this study focuses on the progression of i4.0 but takes into consideration planning for the imminent i5.0. They propose to manufacturers to modify their installations into smart premises with minimal efforts and costs. Five other documents on this sector were found [3,11,17,38,71].
(3)
Energy: the third influential sector in industry 5.0, the related terms are energy utilization and energy efficiency. Energy management in an industry 5.0 model is expected to help in energy efficiency without losing sight of workers and to help increase the conversion ability of the industry. A publication related to this sector is the so-called “NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0” prepared by Khan et al. [7]. This paper provides a presentation on green displacement and discusses the benefits of using Ultra Low Power Communications and Non-Orthogonal Multiple Access (NOMA) in the automotive i5.0. It also affirms that these are two central techniques of 6G transmissions to expand the spectrum and energy savings in the vehicular network. Four other publications were identified around this sector [8,9,37,104].
(4)
Public service: the least influential sector, and the only term related to Industry 5.0 is engineering education. There are few investigations on this sector, and they deal with the education of industrial engineers for the development of skills in the transit of industry 5.0. A document linked to this sector is the so-called “Sustainable Development Competences of Engineering Students in Light of the Industry 5.0 Concept” developed by Mazur and Walczyna [105]. The purpose of this research was to analyze the type and level of expertise around sustainable growth by students at the Lublin University of Life Sciences and the Lublin University of Technology. This study sought to verify through the self-assessment of competencies, the correspondence between the competencies of the students and the type of university. The findings confirmed gaps between students in terms of activity and areas of knowledge. Three other documents related to this sector were found [30,72,106].
It should be noted that there are currently numerous industrial sectors, but this study shows only four; therefore, it is inferred that the transition from industry 4.0 to 5.0 has already begun and is in its initial stages. Figure 8 shows the trend for these four sectors.

3.3. Topics Associated with Industry 5.0

The “Thematic Map” that is displayed in Figure 9, is divided into four categories called: “Emerging or Declining Themes”, “Niche Themes”, “Motor Themes” and “Basic Themes”. These themes are located within the map according to centrality (degree of relevance) and density (degree of development). For its generation, the “walktrap” grouping algorithm of the RStudio software was applied as default criteria, in addition to the minimum frequency of clustering (n = 5) per thousand manuscripts and the author’s keywords (n = 250).
The thematic map showed seven clusters of the topics associated with industry 5.0 at the date of development of this bibliometric study. Table 3 shows the description, frequency, and categories of each theme together with the degrees of relevance and development. After Table 3, the seven themes are discussed.
(1)
Industry 5.0, Industry 4.0, and artificial intelligence: this cluster is categorized as “Motor Themes” and includes studies on industry 5.0 closely related to industry 4.0 and artificial intelligence, that is, how this technological revolution aims to transform the industrial sector 4.0 into intelligent structures supported by development artificial intelligence [14,16,21,65,73,107,108,109,110].
(2)
COVID-19, industries, and digitalization: categorized as “Motor Themes” according to Table 3 and deals with industry 5.0 studies closely related to digitization in the context of COVID-19, i.e., how digitization contributes to improving production processes, increasing productivity, and optimization of energy, resources, and costs [12,41,54,55,111,112,113,114].
(3)
Technology, robotics, and human-robot collaboration: classified as “Niche Topics” in Table 3 and deals with Industry 5.0 studies with links to technology and human-robot collaboration, i.e., how Industry 5.0 values human-robotic cooperation with the intention to establish a more participatory horizon centered on humanity [4,17,18,76,91,115,116].
(4)
Blockchain, dew computing, and optimization: categorized as “Motor Themes”, and covers Industry 5.0 publications intricately linked to blockchain and dew computing. Blockchain is a remarkable database that organizes and stores information in a decentralized and joint manner. As for dew computing, this is a decentralized computerized architecture where data, calculation, registration, and programs are located timely and efficiently within the cloud and the source of information. With blockchain and dew computing the optimization of the industries is sought [10,38,40,54,77,117,118,119,120].
(5)
Big data and cyber-physical systems: categorized under “Basic Themes”, and covers publications on big data and cyber-physical systems in industry 5.0, i.e., the use of digital technologies in the services provided and in industrial production activities to facilitate effective and innovative processes in the generation of goods and services that incorporate digital and conventional techniques [22,31,37,42,43,46,47,49,56,121,122].
(6)
Digital transformation: categorized under “Basic Themes” and encompasses studies on how the industry adopts digital technology to digitize analog services or products to increase their value with the help of customer experience, innovation, and invention [30,48,62,67,123,124].
(7)
Competitive advantage: this cluster is categorized as “Declining Themes” in Table 3 and includes documents on how one industry overlaps another in the same sector using unspecified methods, managing to innovate in its own way [25,35].

3.4. Future Research Agenda

To build a future research agenda, the 867 author keywords were loaded into the statistical software VOSviewer for “keyword co-occurrence analysis” using the “association strength” method. The criteria used was the selection of keywords with less co-occurrence (n = 2) associated with industry 5.0. The applied analysis generated six topics associated with i5.0 for future studies (Figure 10), including: environmental sustainability, social sustainability, cobots, bioeconomy, smart city, and sentiment analysis.
The six topics for future research are discussed below.
(1)
Environmental Sustainability: studies that deal with the balance that is generated as a consequence of the harmony between humanity and its environment, and that this harmony is maintained over time [12,125].
(2)
Social Sustainability: a study theme that deals with how sustainability enhances personal, community and cultural development for the achievement of global living conditions, health, and decent and equal training [88,89,125].
(3)
Cobots: a study theme that deals with compact robots that do not take up much space and that were created to work physically with humans in a collaborative environment [11,19,126].
(4)
Bioeconomy: a study theme related to various objectives, including clean water and sanitation, responsible production and consumption and sustainable cities. These bioeconomy studies also touch on decent work and economic growth [4,116].
(5)
Smart city: a study theme on cities where information and communication technologies (ICT) are put into practice to provide them with a set of structures that ensure sustainable development, favorable living conditions, and a cost-benefit ratio of available resources [20,53].
(6)
Sentiment analysis: this subject of study refers to the treatment of natural language, text recognition and computational terminology to individualize and separate subjective information, i.e., it classifies a sentence as positive, negative, or neutral [82,99,102,121].
Figure 11 below shows a summary of the results obtained:

4. Limitations

Although the contributions of this study are important, the following limitations cannot be ignored. First, the exclusive use of Scopus to access the information analyzed in this bibliometric study. It is known that the use of several databases guarantees a better scope, but Scopus has many manuscripts that could also be indexed in other databases. Another limitation is the little previous research on i5.0 because it is a recent topic, and this limitation is demonstrated in the registration of articles during the period 2019–2022. The information used in this study is current as of December 2022.

5. Conclusions

Industry 5.0 can be defined as the new manufacturing paradigm where the scenario is human-machine interaction. This study identified four industry sectors linked to i5.0, from most influential to least influential. These sectors are Electronic, Manufacturing, Energy and Public Service, which are few compared to the considerable number of existing sectors, which allows us to agree with what many studies affirm, namely that i5.0 is still in its initial stages. Now, Electronics is the most influential industry sector for being the cornerstone of the i5.0. This sector has been the backbone of the third and fourth industrial revolutions and it is also for the fifth. Electronics are key to increasingly precise and powerful machinery (cobots, robots), along with the creative potential of human beings. The Manufacturing sector relies on consumer electronics (chips), which is very necessary in the intelligent production process. Likewise, this electronic support occurs in the Energy sector, which aims to obtain energy performance for the benefit of environmental sustainability, but the findings indicate few studies on this sector, inferring a low use of efficient energy in i5.0. On the other hand, the Public Services sector plays a key role, since education, especially industrial engineering, is vital in the training of professionals with skills for i5.0. But it is the least influential sector, which allows us to agree with what assorted studies have stated, and that is that qualified personnel are needed, therefore, it is necessary to train more professionals to help promote i5.0.
The topics associated with i5.0 identified in this research are driven by artificial intelligence, digitization and digital transformation, key elements for human-robot collaboration; undoubtedly these elements would not work without the help of the electronics sector. Further, recommended topics for future research were identified, such as environmental sustainability, social sustainability, cobots, bioeconomy, smart cities, and sentiment analysis. These aim to consolidate this industrial model and focus on its three pillars: the human being, resilience, and sustainability. This study makes an important contribution, since 72.56% of the total literature analyzed is from the year 2022, i.e., recent literature. In addition to the above, 87.44% of the 215 manuscripts are articles and conference papers, i.e., primary source information that translates into valuable information for this study. A low participation of countries with studies in i5.0 was found; i.e., 129 nations (65.15%) of the 198 have not registered studies in Scopus, showing a considerable scientific gap from a geographical point of view.

Author Contributions

Conceptualization, L.E.-R. and J.G.-A.; methodology, N.G.A.; software, J.G.N.S.; validation, L.E.-R., J.G.-A. and A.Q.L.; formal analysis, A.Q.L.; investigation, H.G.H.; resources, H.G.H.; data curation, J.G.N.S.; writing—original draft preparation, L.E.-R.; writing—review and editing, J.G.-A.; visualization, N.G.A.; supervision, J.G.N.S.; project administration, H.G.H.; funding acquisition, A.Q.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

This study has a bibliometric approach and the data used was generated from the Scopus database.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Longo, F.; Padovano, A.; Umbrello, S. Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future. Appl. Sci. 2020, 10, 4182. [Google Scholar] [CrossRef]
  2. Saniuk, S.; Grabowska, S.; Straka, M. Identification of Social and Economic Expectations: Contextual Reasons for the Transformation Process of Industry 4.0 into the Industry 5.0 Concept. Sustainability 2022, 14, 1391. [Google Scholar] [CrossRef]
  3. Fraga-Lamas, P.; Lopes, S.I.; Fernández-Caramés, T.M. Emerging Paradigms and Architectures for Industry 5.0 Applications. Appl. Sci. 2022, 12, 65. [Google Scholar] [CrossRef]
  4. Sindhwani, R.; Afridi, S.; Kumar, A.; Banaitis, A.; Luthra, S.; Singh, P.L. Can Industry 5.0 Revolutionize the Wave of Resilience and Social Value Creation? A Multi-Criteria Framework to Analyze Enablers. Technol. Soc. 2022, 68, 101887. [Google Scholar] [CrossRef]
  5. Grabowska, S.; Saniuk, S.; Gajdzik, B. Industry 5.0: Improving Humanization and Sustainability of Industry 4.0. Scientometrics 2022, 127, 3117–3144. [Google Scholar] [CrossRef]
  6. Xu, X.; Lu, Y.; Vogel-Heuser, B.; Wang, L. Industry 4.0 and Industry 5.0—Inception, Conception and Perception. J. Manuf. Syst. 2021, 61, 530–535. [Google Scholar] [CrossRef]
  7. Khan, W.U.; Ihsan, A.; Nguyen, T.N.; Ali, Z.; Javed, M.A. NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0. IEEE Trans. Ind. Informatics 2022, 18, 7862–7874. [Google Scholar] [CrossRef]
  8. Liu, H.; Sun, Y.; Cao, J.; Chen, S.; Pan, N.; Dai, Y.; Pan, D. Study on UAV Parallel Planning System for Transmission Line Project Acceptance Under the Background of Industry 5.0. IEEE Trans. Ind. Informatics 2022, 18, 5537–5546. [Google Scholar] [CrossRef]
  9. Sarma, S.S.; Hazra, R.; Mukherjee, A. Symbiosis Between D2D Communication and Industrial IoT for Industry 5.0 in 5G Mm-Wave Cellular Network: An Interference Management Approach. IEEE Trans. Ind. Informatics 2022, 18, 5527–5536. [Google Scholar] [CrossRef]
  10. Doyle-Kent, M.; Kopacek, P. Industry 5.0: Is the Manufacturing Industry on the Cusp of a New Revolution? In 19th International Symposium for Production Research, ISPR 2019; Springer Science and Business Media Deutschland GmbH: Waterford, Ireland, 2020; pp. 432–441. [Google Scholar] [CrossRef]
  11. Fazal, N.; Haleem, A.; Bahl, S.; Javaid, M.; Nandan, D. Digital Management Systems in Manufacturing Using Industry 5.0 Technologies. In International Conference on Advancement in Materials, Manufacturing and Energy Engineering, ICAMME 2021; Springer Science and Business Media Deutschland GmbH: New Delhi, India, 2022; pp. 221–234. [Google Scholar] [CrossRef]
  12. Ghobakhloo, M.; Iranmanesh, M.; Mubarak, M.F.; Mubarik, M.; Rejeb, A.; Nilashi, M. Identifying Industry 5.0 Contributions to Sustainable Development: A Strategy Roadmap for Delivering Sustainability Values. Sustain. Prod. Consum. 2022, 33, 716–737. [Google Scholar] [CrossRef]
  13. Wajid, U.; Nizamis, A.; Anaya, V. Towards Industry 5.0—A Trustworthy AI Framework for Digital Manufacturing with Humans in Control. In 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022; CEUR-WS: Information Catalyst for Enterprise: London, UK, 2022; Volume 3214. [Google Scholar]
  14. Johri, P.; Singh, J.N.; Sharma, A.; Rastogi, D. Sustainability of Coexistence of Humans and Machines: An Evolution of Industry 5.0 from Industry 4.0. In 10th International Conference on System Modeling and Advancement in Research Trends, SMART 2021; Institute of Electrical and Electronics Engineers Inc.: Greater Noida, India, 2021; pp. 410–414. [Google Scholar] [CrossRef]
  15. Chi, H.R.; Wu, C.K.; Huang, N.; Tsang, K.F.; Radwan, A. A Survey of Network Automation for Industrial Internet-of-Things Towards Industry 5.0. IEEE Trans. Ind. Informatics 2022, 19, 2065–2077. [Google Scholar] [CrossRef]
  16. Kavakoglu, A.A.; Almag, B.; Eser, B.; Alagam, S. AI Driven Creativity in Early Design Education: A Pedagogical Approach in the Age of Industry 5.0. In 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022; Education and Research in Computer Aided Architectural Design in Europe: Istanbul, Turkey, 2022; Volume 1, pp. 133–142. [Google Scholar]
  17. Demir, K.A.; Döven, G.; Sezen, B. Industry 5.0 and Human-Robot Co-Working. In 3rd World Conference on Technology, Innovation and Entrepreneurship, WOCTINE 2019; Elsevier B.V.: Kocaeli, Turkey, 2019; Volume 158, pp. 688–695. [Google Scholar] [CrossRef]
  18. Coronado, E.; Kiyokawa, T.; Ricardez, G.A.G.; Ramirez-Alpizar, I.G.; Venture, G.; Yamanobe, N. Evaluating Quality in Human-Robot Interaction: A Systematic Search and Classification of Performance and Human-Centered Factors, Measures and Metrics towards an Industry 5.0. J. Manuf. Syst. 2022, 63, 392–410. [Google Scholar] [CrossRef]
  19. Prassida, G.F.; Asfari, U. A Conceptual Model for the Acceptance of Collaborative Robots in Industry 5.0. In 6th Information Systems International Conference, ISICO 2021; Elsevier B.V.: Gresik, Indonesia, 2021; Volume 197, pp. 61–67. [Google Scholar] [CrossRef]
  20. Sharma, M.; Sehrawat, R.; Luthra, S.; Daim, T.; Bakry, D. Moving Towards Industry 5.0 in the Pharmaceutical Manufacturing Sector: Challenges and Solutions for Germany. IEEE Trans. Eng. Manag. 2022, 1–18. [Google Scholar] [CrossRef]
  21. Nahavandi, S. Industry 5.0-a Human-Centric Solution. Sustainability 2019, 11, 4371. [Google Scholar] [CrossRef] [Green Version]
  22. Özdemir, V.; Hekim, N. Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “the Internet of Things” and Next-Generation Technology Policy. Omi. A J. Integr. Biol. 2018, 22, 65–76. [Google Scholar] [CrossRef] [PubMed]
  23. Javaid, M.; Haleem, A. Critical Components of Industry 5.0 towards a Successful Adoption in the Field of Manufacturing. J. Ind. Integr. Manag. 2020, 5, 327–348. [Google Scholar] [CrossRef]
  24. Martynov, V.V.; Shavaleeva, D.N.; Zaytseva, A.A. Information Technology as the Basis for Transformation into a Digital Society and Industry 5.0. In 2019 IEEE International Conference “Quality Management, Transport and Information Security, Information Technologies” IT and QM and IS 2019; Institute of Electrical and Electronics Engineers Inc.: Ufa, Russia, 2019; pp. 539–543. [Google Scholar] [CrossRef]
  25. Aslam, F.; Aimin, W.; Li, M.; Rehman, K.U. Innovation in the Era of IoT and Industry 5.0: Absolute Innovation Management (AIM) Framework. Information 2020, 11, 124. [Google Scholar] [CrossRef] [Green Version]
  26. Maddikunta, P.K.R.; Pham, Q.V.; Prabadevi, B.; Deepa, N.; Dev, K.; Gadekallu, T.R.; Ruby, R.; Liyanage, M. Industry 5.0: A Survey on Enabling Technologies and Potential Applications. J. Ind. Inf. Integr. 2021, 26, 100257. [Google Scholar] [CrossRef]
  27. Elim, H.I.; Zhai, G. Control System of Multitasking Interactions between Society 5.0 and Industry 5.0: A Conceptual Introduction & Its Applications. In 5th International Conference on Basic Sciences; Institute of Physics Publishing: Nanomaterials for Photonics Nanotechnology Laboratory (N4PN Lab.), Department of Physics, Faculty of Mathematics and Natural Sciences (FMIPA), Pattimura University (UNPATTI): Ambon, Indonesia, 2020; Volume 1463. [Google Scholar] [CrossRef]
  28. ElFar, O.A.; Chang, C.K.; Leong, H.Y.; Peter, A.P.; Chew, K.W.; Show, P.L. Prospects of Industry 5.0 in Algae: Customization of Production and New Advance Technology for Clean Bioenergy Generation. Energy Convers. Manag. X 2021, 10. [Google Scholar] [CrossRef]
  29. Demir, K.A.; Cicibaş, H. The next Industrial Revolution: Industry 5.0 and Discussions on Industry 4.0. In Industry 4.0 from the MIS Perspective; Peter Lang AG: Istanbul, Turkey, 2019; pp. 247–260. [Google Scholar]
  30. Gürdür Broo, D.; Kaynak, O.; Sait, S.M. Rethinking Engineering Education at the Age of Industry 5.0. J. Ind. Inf. Integr. 2021, 25, 100311. [Google Scholar] [CrossRef]
  31. Huang, S.; Wang, B.; Li, X.; Zheng, P.; Mourtzis, D.; Wang, L. Industry 5.0 and Society 5.0—Comparison, Complementation and Co-Evolution. J. Manuf. Syst. 2022, 64, 424–428. [Google Scholar] [CrossRef]
  32. Rožanec, J.M.; Novalija, I.; Zajec, P.; Kenda, K.; Tavakoli Ghinani, H.; Suh, S.; Veliou, E.; Papamartzivanos, D.; Giannetsos, T.; Menesidou, S.A.; et al. Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications. Int. J. Prod. Res. 2022, 1–26. [Google Scholar] [CrossRef]
  33. Ivanov, D. The Industry 5.0 Framework: Viability-Based Integration of the Resilience, Sustainability, and Human-Centricity Perspectives. Int. J. Prod. Res. 2022, 1–13. [Google Scholar] [CrossRef]
  34. Tropschuh, B.; Dillinger, F.; Korder, S.; Maier, M.; Gärtner, Q.; Vernim, S. Industry 5.0—A Human-centric Approach Approaches for a flexible and human-centered integration and support of employees in the digitalized and interconnected production of the future. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetr. 2021, 116, 387–392. [Google Scholar] [CrossRef]
  35. Chin, S.T.S. Influence of Emotional Intelligence on the Workforce for Industry 5.0. IBIMA Bus. Rev. 2021, 2021. [Google Scholar] [CrossRef]
  36. Mladineo, M.; Ćubić, M.; Gjeldum, N.; Crnjac Žižić, M. Human-Centric Approach of the Lean Management as an Enabler of Industry 5.0 in SMEs. In 10th International Conference on Mechanical Technologies and Structural Materials, MTSM 2021; Croatian Society for Mechanical Technologies: Split, Croatia, 2021; Volume 2021, pp. 111–117. [Google Scholar]
  37. Thakur, P.; Kumar Sehgal, V. Emerging Architecture for Heterogeneous Smart Cyber-Physical Systems for Industry 5.0. Comput. Ind. Eng. 2021, 162, 107750. [Google Scholar] [CrossRef]
  38. Verma, A.; Bhattacharya, P.; Madhani, N.; Trivedi, C.; Bhushan, B.; Tanwar, S.; Sharma, G.; Bokoro, P.N.; Sharma, R. Blockchain for Industry 5.0: Vision, Opportunities, Key Enablers, and Future Directions. IEEE Access 2022, 10, 69160–69199. [Google Scholar] [CrossRef]
  39. Alvarez-Aros, E.L.; Bernal-Torres, C.A. Technological Competitiveness and Emerging Technologies in Industry 4.0 and Industry 5.0. An. Acad. Bras. Cienc. 2021, 93, e20191290. [Google Scholar] [CrossRef]
  40. Rupa, C.; Midhunchakkaravarthy, D.; Hasan, M.K.; Alhumyani, H.; Saeed, R.A. Industry 5.0: Ethereum Blockchain Technology Based DApp Smart Contract. Math. Biosci. Eng. 2021, 18, 7010–7027. [Google Scholar] [CrossRef]
  41. Zizic, M.C.; Mladineo, M.; Gjeldum, N.; Celent, L. From Industry 4.0 towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology. Energies 2022, 15, 5221. [Google Scholar] [CrossRef]
  42. Akundi, A.; Euresti, D.; Luna, S.; Ankobiah, W.; Lopes, A.; Edinbarough, I. State of Industry 5.0—Analysis and Identification of Current Research Trends. Appl. Syst. Innov. 2022, 5, 27. [Google Scholar] [CrossRef]
  43. Jabrane, K.; Bousmah, M. A New Approach for Training Cobots from Small Amount of Data in Industry 5.0. Int. J. Adv. Comput. Sci. Appl. 2021, 12, 634–646. [Google Scholar] [CrossRef]
  44. Monteiro, A.C.B.; Franca, R.P.; Estrela, V.V.; Fernandes, S.R.; Khelassi, A.; Jenice Aroma, R.; Raimond, K.; Iano, Y.; Arshaghi, A. UAV-CPSs as a Test Bed for New Technologies and a Primer to Industry 5.0. In Imaging and Sensing for Unmanned Aircraft Systems: Deployment and Applications; Institution of Engineering and Technology: Campinas, Brazil, 2020; pp. 1–22. [Google Scholar] [CrossRef]
  45. Sachsenmeier, P. Industry 5.0—The Relevance and Implications of Bionics and Synthetic Biology. Engineering 2016, 2, 225–229. [Google Scholar] [CrossRef] [Green Version]
  46. Fernandes, N.; Barros, J.P.; Campos-Rebelo, R. A Graphical and Executable Model for Production Simulation in the Context of Industry 5.0. In 31st IEEE International Symposium on Industrial Electronics, ISIE 2022; Institute of Electrical and Electronics Engineers Inc.: Beja, Portugal, 2022; Volume 2022-June, pp. 233–238. [Google Scholar] [CrossRef]
  47. Garcia, A.; Quartulli, M.; Olaizola, I.G.; Barandiaran, I. Relevance of Visualization and Interaction Technologies for Industry 5.0. In 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022; CEUR-WS: Donostia-San Sebastián, Spain, 2022; Volume 3214. [Google Scholar]
  48. Martins, Y.S.; Domingues, J.P.T.; Poltronieri, C.F.; Leite, L.R. The Emergence of Industry 5.0: A Bibliometric Analysis. In 5th International Conference on Quality Engineering and Management: A Better World with Quality! Quality in the Digital Transformation, ICQEM 2022; Universidade do Minho: Itajubá, Brazil, 2022; pp. 837–852. [Google Scholar]
  49. Patera, L.; Garbugli, A.; Bujari, A.; Scotece, D.; Corradi, A. A Layered Middleware for Ot/It Convergence to Empower Industry 5.0 Applications. Sensors 2022, 22, 190. [Google Scholar] [CrossRef]
  50. Sverko, M.; Grbac, T.G.; Mikuc, M. SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0. IEEE Access 2022, 10, 109395–109430. [Google Scholar] [CrossRef]
  51. Al Mubarak, M. Sustainably Developing in a Digital World: Harnessing Artificial Intelligence to Meet the Imperatives of Work-Based Learning in Industry 5.0. Dev. Learn. Organ. 2022. [Google Scholar] [CrossRef]
  52. Dev, K.; Tsang, K.F.; Corchado, J. Guest Editorial: The Era of Industry 5.0-Technologies from No Recognizable HM Interface to Hearty Touch Personal Products. IEEE Trans. Ind. Informatics 2022, 18, 5432–5434. [Google Scholar] [CrossRef]
  53. Kasinathan, P.; Pugazhendhi, R.; Elavarasan, R.M.; Ramachandaramurthy, V.K.; Ramanathan, V.; Subramanian, S.; Kumar, S.; Nandhagopal, K.; Raghavan, R.R.V.; Rangasamy, S.; et al. Realization of Sustainable Development Goals with Disruptive Technologies by Integrating Industry 5.0, Society 5.0, Smart Cities and Villages. Sustainability 2022, 14, 5258. [Google Scholar] [CrossRef]
  54. Guruswamy, S.; Pojić, M.; Subramanian, J.; Mastilović, J.; Sarang, S.; Subbanagounder, A.; Stojanović, G.; Jeoti, V. Toward Better Food Security Using Concepts from Industry 5.0. Sensors 2022, 22, 8377. [Google Scholar] [CrossRef] [PubMed]
  55. Jeyaraman, M.; Nallakumarasamy, A.; Jeyaraman, N. Industry 5.0 in Orthopaedics. Indian J. Orthop. 2022, 56, 1694–1702. [Google Scholar] [CrossRef]
  56. Leng, J.; Sha, W.; Wang, B.; Zheng, P.; Zhuang, C.; Liu, Q.; Wuest, T.; Mourtzis, D.; Wang, L. Industry 5.0: Prospect and Retrospect. J. Manuf. Syst. 2022, 65, 279–295. [Google Scholar] [CrossRef]
  57. Müller, J. Enabling Technologies for Industry 5.0: Results of a Workshop with Europe’s Technology Leaders. Eur. Comm. Dir. Res. Innov. 2020. [Google Scholar] [CrossRef]
  58. Breque, M.; De Nul, L.; Petridis, A. Industry 5.0: Towards a Sustainable, Human-Centric and Resilient European Industry. Eur. Comm. Dir. Res. Innov. 2021. [Google Scholar] [CrossRef]
  59. Renda, A.; Schwaag Serger, S.; Tataj, D. Industry 5.0, a Transformative Vision for Europe: Governing Systemic Transformations towards a Sustainable Industry. Eur. Comm. Dir. Res. Innov. 2022. [Google Scholar] [CrossRef]
  60. Aria, M.; Cuccurullo, C. Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis. J. Inf. 2017, 11, 959–975. [Google Scholar] [CrossRef]
  61. Zupic, I.; Čater, T. Bibliometric Methods in Management and Organization. Organ. Res. Methods 2015, 18, 429–472. [Google Scholar] [CrossRef]
  62. Carayannis, E.G.; Morawska-Jancelewicz, J. The Futures of Europe: Society 5.0 and Industry 5.0 as Driving Forces of Future Universities. J. Knowl. Econ. 2022, 13, 3445–3471. [Google Scholar] [CrossRef]
  63. Cillo, V.; Gregori, G.L.; Daniele, L.M.; Caputo, F.; Bitbol-Saba, N. Rethinking Companies’ Culture through Knowledge Management Lens during Industry 5.0 Transition. J. Knowl. Manag. 2022, 26, 2485–2498. [Google Scholar] [CrossRef]
  64. Turner, C.; Oyekan, J.; Garn, W.; Duggan, C.; Abdou, K. Industry 5.0 and the Circular Economy: Utilizing LCA with Intelligent Products. Sustainability 2022, 14, 4847. [Google Scholar] [CrossRef]
  65. Massaro, A. Advanced Control Systems in Industry 5.0 Enabling Process Mining. Sensors 2022, 22, 8677. [Google Scholar] [CrossRef]
  66. Mincă, E.; Filipescu, A.; Cernega, D.; Șolea, R.; Filipescu, A.; Ionescu, D.; Simion, G. Digital Twin for a Multifunctional Technology of Flexible Assembly on a Mechatronics Line with Integrated Robotic Systems and Mobile Visual Sensor—Challenges towards Industry 5.0. Sensors 2022, 22, 8153. [Google Scholar] [CrossRef]
  67. Orso, V.; Ziviani, R.; Bacchiega, G.; Bondani, G.; Spagnolli, A.; Gamberini, L. Employee-Centric Innovation: Integrating Participatory Design and Video-Analysis to Foster the Transition to Industry 5.0. Comput. Ind. Eng. 2022, 173. [Google Scholar] [CrossRef]
  68. Neumann, E.M.; Vogel-Heuser, B.; Haben, F.; Krüger, M.; Wieringa, T. Introduction of an Assistance System to Support Domain Experts in Programming Low-Code to Leverage Industry 5.0. IEEE Robot. Autom. Lett. 2022, 7, 10422–10429. [Google Scholar] [CrossRef]
  69. Frutos-Bencze, D.; Sokolova, M.; Zubr, V.; Mohelska, H. JOB SATISFACTION DURING COVID-19: INDUSTRY 5.0 AS A DRIVER OF SUSTAINABLE DEVELOPMENT AND GENDER EQUALITY. Technol. Econ. Dev. Econ. 2022, 28, 1527–1544. [Google Scholar] [CrossRef]
  70. Noor-A-Rahim, M.; Firyaguna, F.; John, J.; Khyam, M.O.; Pesch, D.; Armstrong, E.; Claussen, H.; Poor, H.V. Toward Industry 5.0: Intelligent Reflecting Surface in Smart Manufacturing. IEEE Commun. Mag. 2022, 60, 72–78. [Google Scholar] [CrossRef]
  71. Yin, S.; Yu, Y. An Adoption-Implementation Framework of Digital Green Knowledge to Improve the Performance of Digital Green Innovation Practices for Industry 5.0. J. Clean. Prod. 2022, 363. [Google Scholar] [CrossRef]
  72. Lattanzio, S.; Goh, Y.M.; Houghton, R.; Garcia Lazaro, A.; Newnes, L. European Union Conceptualisation of Industry 5.0: Opportunities and Challenges for Transdisciplinary Engineering. In 29th ISTE International Conference on Transdisciplinary Engineering, TE 2022; IOS Press BV: Bath, UK, 2022; Volume 28, pp. 717–726. [Google Scholar] [CrossRef]
  73. Pozo, E.; Patel, N.; Schrödel, F. Collaborative Robotic Environment for Educational Training in Industry 5.0 Using an Open Lab Approach. In 13th IFAC Symposium on Advances in Control Education, ACE 2022; Elsevier B.V.: Schmalkalden, Germany, 2022; Volume 55, pp. 314–319. [Google Scholar] [CrossRef]
  74. Komar, J.; Pfleger-Landthaler, A.; Rabel, B. Discovering Information Inefficiencies in Manufacturing Processes with Modified Value Stream Mapping An Analysis Approach for Facing the Challenges of Industry 5.0. In 8th International Conference on Computer Technology Applications, ICCTA 2022; Association for Computing Machinery: Graz, Austria, 2022; pp. 263–267. [Google Scholar] [CrossRef]
  75. Villani, V.; Gabbi, M.; Sabattini, L. Promoting Operator’s Wellbeing in Industry 5.0: Detecting Mental and Physical Fatigue. In 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022; Institute of Electrical and Electronics Engineers Inc.: Reggio Emilia, Italy, 2022; Volume 2022-Octob, pp. 2030–2036. [Google Scholar] [CrossRef]
  76. Rajendran, A.; Kebria, P.M.; Mohajer, N.; Khosravi, A.; Nahavandi, S. A Home for Principal Component Analysis (PCA) as Part of a Multi-Agent Safety System (MASS) for Human-Robot Collaboration (HRC) within the Industry 5.0 Enterprise Architecture (EA). In 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022; Institute of Electrical and Electronics Engineers Inc.: Geelong, Australia, 2022; Volume 2022-Octob, pp. 2569–2574. [Google Scholar] [CrossRef]
  77. Sriman, B.; Annie Silviya, S.H.; Santhosh Kumar, E.; Suryaa Narayanan, K.; Nishaalu, S. Blockchain Industry 5.0: Next Generation Smart Contract and Decentralized Application Platform. In 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022; Institute of Electrical and Electronics Engineers Inc.: Poonamallee, Chennai, India, 2022. [Google Scholar] [CrossRef]
  78. Montini, E.; Cutrona, V.; Gladysz, B.; Dell’oca, S.; Landolfi, G.; Bettoni, A. A Methodology to Select Wearable Devices for Industry 5.0 Applications. In 27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022; Institute of Electrical and Electronics Engineers Inc.: Lugano, Switzerland, 2022; Volume 2022-Septe. [Google Scholar] [CrossRef]
  79. Henriksen, B.; Røstad, C.C.; Thomassen, M.K. Industry 5.0—Making It Happen in the Agri Industry. The Core Product Service Platform. In IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022; Springer Science and Business Media Deutschland GmbH: Trondheim, Norway, 2022; pp. 424–431. [Google Scholar] [CrossRef]
  80. Voulgaridis, K.; Lagkas, T.; Sarigiannidis, P. Towards Industry 5.0 and Digital Circular Economy: Current Research and Application Trends. In 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022; Institute of Electrical and Electronics Engineers Inc.: Hellenic, Greece, 2022; pp. 153–158. [Google Scholar] [CrossRef]
  81. Adel, A. Future of Industry 5.0 in Society: Human-Centric Solutions, Challenges and Prospective Research Areas. J. Cloud Comput. 2022, 11, 1–15. [Google Scholar] [CrossRef] [PubMed]
  82. Orea-Giner, A.; Fuentes-Moraleda, L.; Villacé-Molinero, T.; Muñoz-Mazón, A.; Calero-Sanz, J. Does the Implementation of Robots in Hotels Influence the Overall TripAdvisor Rating? A Text Mining Analysis from the Industry 5.0 Approach. Tour. Manag. 2022, 93. [Google Scholar] [CrossRef]
  83. Thomaz, J.P.C.F.; Bispo, H.I.N. Lean Manufacturing and Industry 4.0/5.0: Applied Research in the Portuguese Cork Industry. In Increasing Supply Chain Performance in Digital Society; IGI Global: Hershey, PN, USA, 2022; pp. 101–130. [Google Scholar] [CrossRef]
  84. Haleem, A.; Javaid, M. Industry 5.0 and Its Applications in Orthopaedics. J. Clin. Orthop. Trauma 2019, 10, 807–808. [Google Scholar] [CrossRef]
  85. Doyle Kent, M.; Kopacek, P. Doyle Kent, M.; Kopacek, P. Do We Need Synchronization of the Human and Robotics to Make Industry 5.0 a Success Story? In International Symposium for Production Research, ISPR 2020; Springer Science and Business Media Deutschland GmbH: Department of Engineering Technology, Waterford Institute of Technology: Waterford, Ireland, 2021; pp. 302–311. [Google Scholar] [CrossRef]
  86. Saptaningtyas, W.W.E.; Rahayu, D.K. A Proposed Model for Food Manufacturing in Smes: Facing Industry 5.0. In Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management, IOEM 2020; IEOM Society: Samarinda, Indonesia, 2020. [Google Scholar]
  87. Fraga-Lamas, P.; Lopes, S.I.; Fernández-Caramés, T.M. Green Iot and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case. Sensors 2021, 21, 5745. [Google Scholar] [CrossRef]
  88. Zhang, Q.; Chen, Y.; Lin, W.; Chen, Y. Optimizing Medical Enterprise’s Operations Management Considering Corporate Social Responsibility under Industry 5.0. Discret. Dyn. Nat. Soc. 2021, 2021, 1–13. [Google Scholar] [CrossRef]
  89. Orlova, E.V. Design of Personal Trajectories for Employees’ Professional Development in the Knowledge Society under Industry 5.0. Soc. Sci. 2021, 10, 427. [Google Scholar] [CrossRef]
  90. Zong, L.; Memon, F.H.; Li, X.; Wang, H.; Dev, K. End-to-End Transmission Control for Cross-Regional Industrial Internet of Things in Industry 5.0. IEEE Trans. Ind. Informatics 2022, 18, 4215–4223. [Google Scholar] [CrossRef]
  91. Lu, Y.; Zheng, H.; Chand, S.; Xia, W.; Liu, Z.; Xu, X.; Wang, L.; Qin, Z.; Bao, J. Outlook on Human-Centric Manufacturing towards Industry 5.0. J. Manuf. Syst. 2022, 62, 612–627. [Google Scholar] [CrossRef]
  92. Leng, J.; Sha, W.; Lin, Z.; Jing, J.; Liu, Q.; Chen, X. Blockchained Smart Contract Pyramid-Driven Multi-Agent Autonomous Process Control for Resilient Individualised Manufacturing towards Industry 5.0. Int. J. Prod. Res. 2022. [Google Scholar] [CrossRef]
  93. Leng, J.; Chen, Z.; Huang, Z.; Zhu, X.; Su, H.; Lin, Z.; Zhang, D. Secure Blockchain Middleware for Decentralized IIoT towards Industry 5.0: A Review of Architecture, Enablers, Challenges, and Directions. Machines 2022, 10, 858. [Google Scholar] [CrossRef]
  94. Li, B.; Song, P. Driving Force Mechanism of the Core Green Technology Innovation of Equipment Manufacturing Enterprises towards Industry 5.0 in China. Math. Probl. Eng. 2022, 2022, 1–18. [Google Scholar] [CrossRef]
  95. Di Nardo, M.; Yu, H. Special Issue “Industry 5.0: The Prelude to the Sixth Industrial Revolution”. Appl. Syst. Innov. 2021, 4, 45. [Google Scholar] [CrossRef]
  96. Dautaj, M.; Rossi, M. Towards a New Society: Solving the Dilemma Between Society 5.0 and Industry 5.0. In 18th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2021; Springer Science and Business Media Deutschland GmbH: Milan, Italy, 2022; pp. 523–536. [Google Scholar] [CrossRef]
  97. Fatima, Z.; Tanveer, M.H.; Waseemullah, W.; Zardari, S.; Naz, L.F.; Khadim, H.; Ahmed, N.; Tahir, M. Production Plant and Warehouse Automation with IoT and Industry 5.0. Appl. Sci. 2022, 12, 2053. [Google Scholar] [CrossRef]
  98. Moller, D.P.F.; Vakilzadian, H.; Haas, R.E. From Industry 4.0 towards Industry 5.0. In 2022 IEEE International Conference on Electro Information Technology, eIT 2022; IEEE Computer Society: Clausthal, Germany, 2022; Volume 2022, pp. 61–68. [Google Scholar] [CrossRef]
  99. Qahtan, S.; Alsattar, H.A.; Zaidan, A.A.; Pamucar, D.; Deveci, M. Integrated Sustainable Transportation Modelling Approaches for Electronic Passenger Vehicle in the Context of Industry 5.0. J. Innov. Knowl. 2022, 7. [Google Scholar] [CrossRef]
  100. Iyengar, K.P.; Zaw Pe, E.; Jalli, J.; Shashidhara, M.K.; Jain, V.K.; Vaish, A.; Vaishya, R. Industry 5.0 Technology Capabilities in Trauma and Orthopaedics. J. Orthop. 2022, 32, 125–132. [Google Scholar] [CrossRef]
  101. Fraga-Lamas, P.; Barros, D.; Lopes, S.I.; Fernández-Caramés, T.M. Mist and Edge Computing Cyber-Physical Human-Centered Systems for Industry 5.0: A Cost-Effective IoT Thermal Imaging Safety System. Sensors 2022, 22, 8500. [Google Scholar] [CrossRef]
  102. Aceta, C.; Fernández, I.; Soroa, A. KIDE4I: A Generic Semantics-Based Task-Oriented Dialogue System for Human-Machine Interaction in Industry 5.0. Appl. Sci. 2022, 12, 1192. [Google Scholar] [CrossRef]
  103. Tran, T.A.; Ruppert, T.; Eigner, G.; Abonyi, J. Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions. IEEE Access 2022, 10, 64348–64374. [Google Scholar] [CrossRef]
  104. Xu, L.; Zhou, X.; Tao, Y.; Yu, X.; Yu, M.; Khan, F. AF Relaying Secrecy Performance Prediction for 6G Mobile Communication Networks in Industry 5.0. IEEE Trans. Ind. Informatics 2022, 18, 5485–5493. [Google Scholar] [CrossRef]
  105. Mazur, B.; Walczyna, A. Sustainable Development Competences of Engineering Students in Light of the Industry 5.0 Concept. Sustainability 2022, 14, 7233. [Google Scholar] [CrossRef]
  106. Ghani, A. Engineering Education at the Age of Industry 5.0—Higher Education at the Crossroads. World Trans. Eng. Technol. Educ. 2022, 20, 112–117. [Google Scholar]
  107. Majerník, M.; Daneshjo, N.; Malega, P.; Drábik, P.; Barilová, B. Sustainable Development of the Intelligent Industry from Industry 4.0 to Industry 5.0. Adv. Sci. Technol. Res. J. 2022, 16, 12–18. [Google Scholar] [CrossRef]
  108. Charitidis, C.; Sebastiani, M.; Goldbeck, G. Fostering Research and Innovation in Materials Manufacturing for Industry 5.0: The Key Role of Domain Intertwining between Materials Characterization, Modelling and Data Science. Mater. Des. 2022, 223. [Google Scholar] [CrossRef]
  109. Ciobanu, A.C.; Meșniță, G. AI Ethics for Industry 5.0—From Principles to Practice. In 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022; CEUR-WS: Iași, Romania, 2022; Volume 3214. [Google Scholar]
  110. Olaizola, I.G.; Quartulli, M.; Garcia, A.; Barandiaran, I. Artificial Intelligence from Industry 5.0 Perspective: Is the Technology Ready to Meet the Challenge? In 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022; CEUR-WS: Donostia-San Sebastian, Spain, 2022; Volume 3214. [Google Scholar]
  111. Madhavan, M.; Wangtueai, S.; Sharafuddin, M.A.; Chaichana, T. The Precipitative Effects of Pandemic on Open Innovation of SMEs: A Scientometrics and Systematic Review of Industry 4.0 and Industry 5.0. J. Open Innov. Technol. Mark. Complex. 2022, 8, 152. [Google Scholar] [CrossRef]
  112. Javaid, M.; Haleem, A.; Singh, R.P.; Ul Haq, M.I.; Raina, A.; Suman, R. Industry 5.0: Potential Applications in Covid-19. J. Ind. Integr. Manag. 2020, 5, 507–530. [Google Scholar] [CrossRef]
  113. Flores-Siguenza, P.; Vásquez-Salinas, B.; Siguenza-Guzman, L.; Arcentales-Carrion, R.; Sucozhañay, D. Indicators to Evaluate Elements of Industry 5.0 in the Textile Production of MSMEs. In 10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022; Springer Science and Business Media Deutschland GmbH: Cuenca, Ecuador, 2022; pp. 85–100. [Google Scholar] [CrossRef]
  114. Espina-Romero, L.; Guerrero-Alcedo, J.M. Fields Touched by Digitalization: Analysis of Scientific Activity in Scopus. Sustainability 2022, 14, 14425. [Google Scholar] [CrossRef]
  115. Gaiardelli, S.; Spellini, S.; Lora, M.; Fummi, F. Modeling in Industry 5.0: What Is There and What Is Missing: Special Session 1: Languages for Industry 5.0. In 2021 Forum on Specification and Design Languages, FDL 2021; IEEE Computer Society: Department of Computer Science, University of Verona: Verona, Italy, 2021; Volume 2021-Septe. [Google Scholar] [CrossRef]
  116. Chaudhari, P.; Utgikar, R.; Kelkar, B.; Borse, P. A Novel Approach: Bioeconomy Industry 5.0 Enhanced Version. In 4th IEEE Pune Section International Conference, PuneCon 2021; Institute of Electrical and Electronics Engineers Inc.: Pune, India, 2021. [Google Scholar] [CrossRef]
  117. Xu, Z.; Liang, W.; Li, K.C.; Xu, J.; Zomaya, A.Y.; Zhang, J. A Time-Sensitive Token-Based Anonymous Authentication and Dynamic Group Key Agreement Scheme for Industry 5.0. IEEE Trans. Ind. Informatics 2022, 18, 7118–7127. [Google Scholar] [CrossRef]
  118. Chander, B.; Pal, S.; De, D.; Buyya, R. Artificial Intelligence-Based Internet of Things for Industry 5.0. In Internet of Things; Springer Science and Business Media Deutschland GmbH: Pondicherry, India, 2022; pp. 3–45. [Google Scholar] [CrossRef]
  119. Yang, H.; Asheralieva, A.; Zhang, J.; Karim, M.M.; Niyato, D.T.; Raza, K.A. User-Centric Blockchain for Industry 5.0 Applications. In 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022; Institute of Electrical and Electronics Engineers Inc.: Shenzhen, China, 2022; pp. 25–30. [Google Scholar] [CrossRef]
  120. De, D.; Karmakar, A.; Banerjee, P.S.; Bhattacharyya, S.; Rodrigues, J. BCoT: Introduction to Blockchain-Based Internet of Things for Industry 5.0. In Lecture Notes on Data Engineering and Communications Technologies; Springer Science and Business Media Deutschland GmbH: WestBengal, Kolkata, India, 2022; pp. 1–22. [Google Scholar] [CrossRef]
  121. Devi, B.S.; Muthu Selvam, M. SoloDB for Social Media’s Big Data Using Deep Natural Language with AI Applications and Industry 5.0. In International Conference on Ubiquitous Intelligent Systems, ICUIS 2021; Springer Science and Business Media Deutschland GmbH: Chennai, India, 2022; pp. 279–294. [Google Scholar] [CrossRef]
  122. Huang, L.; Jia, Y. Innovation and Development of Cultural and Creative Industries Based on Big Data for Industry 5.0. Sci. Program 2022, 2022, 1–8. [Google Scholar] [CrossRef]
  123. Hu, C.; Yang, H.; Yin, S. Insight into the Balancing Effect of a Digital Green Innovation (DGI) Network to Improve the Performance of DGI for Industry 5.0: Roles of Digital Empowerment and Green Organization Flexibility. Systems 2022, 10, 97. [Google Scholar] [CrossRef]
  124. Lachvajderová, L.; Kádárová, J. Industry 4.0 Implementation and Industry 5.0 Readiness in Industrial Enterprises. Manag. Prod. Eng. Rev. 2022, 13, 102–109. [Google Scholar] [CrossRef]
  125. Waheed, A.; Alharthi, M.; Khan, S.Z.; Usman, M. Role of Industry 5.0 in Leveraging the Business Performance: Investigating Impact of Shared-Economy on Firms’ Performance with Intervening Role of I5.0 Technologies. SAGE Open 2022, 12. [Google Scholar] [CrossRef]
  126. Pizoń, J.; Cioch, M.; Kanski, L.; García, E.S. Cobots Implementation in the Era of Industry 5.0 Using Modern Business and Management Solutions. Adv. Sci. Technol. Res. J. 2022, 16, 166–178. [Google Scholar] [CrossRef]
Sustainability 15 05554 g001 550
Figure 1. Methodological design steps.
Figure 1. Methodological design steps.
Sustainability 15 05554 g001
Sustainability 15 05554 g002 550
Figure 2. Investigation methodology.
Figure 2. Investigation methodology.
Sustainability 15 05554 g002
Sustainability 15 05554 g003 550
Figure 3. Articles per year and citations.
Figure 3. Articles per year and citations.
Sustainability 15 05554 g003
Sustainability 15 05554 g004 550
Figure 4. Documents and TC by Country/Territory.
Figure 4. Documents and TC by Country/Territory.
Sustainability 15 05554 g004
Sustainability 15 05554 g005 550
Figure 5. Documents by subject area.
Figure 5. Documents by subject area.
Sustainability 15 05554 g005
Sustainability 15 05554 g006 550
Figure 6. Most relevant sources, citation, and impact measure.
Figure 6. Most relevant sources, citation, and impact measure.
Sustainability 15 05554 g006
Sustainability 15 05554 g007 550
Figure 7. Industry 5.0 terms during 2019–2022.
Figure 7. Industry 5.0 terms during 2019–2022.
Sustainability 15 05554 g007
Sustainability 15 05554 g008 550
Figure 8. Trend of four industrial sectors.
Figure 8. Trend of four industrial sectors.
Sustainability 15 05554 g008
Sustainability 15 05554 g009 550
Figure 9. Thematic Map.
Figure 9. Thematic Map.
Sustainability 15 05554 g009
Sustainability 15 05554 g010 550
Figure 10. Author keywords.
Figure 10. Author keywords.
Sustainability 15 05554 g010
Sustainability 15 05554 g011 550
Figure 11. Summary of contents in the Results section.
Figure 11. Summary of contents in the Results section.
Sustainability 15 05554 g011
Table
Table 1. Main information.
Table 1. Main information.
DescriptionResults
Timespan2019–2022
Sources (journals, books, etc.)121
Documents215
Annual growth rate %214.81
Document average age1.39
Average citations per doc9.177
References15111
Keywords plus (ID)1344
Author’s keywords (DE)867
Authors790
Authors of single-authored docs15
Single-authored docs15
Co-authors per Doc4.01
International co-authorships %36.74
Article151
Conference paper37
Review26
Book chapter1
Table
Table 2. Influential industry sectors.
Table 2. Influential industry sectors.
Label/TermWeight <Occurrences>Score <Avg.
Pub.Year>		Industry Sector
big data92020.33Electronics
cloud computing32020.33Electronics
robotics82020.88Electronics
technology102021.00All Industry
manufacturing72021.14Manufacturing
software42021.25Electronics
human-robot collaboration72021.29Electronics
artificial intelligence272021.33Electronics
engineering education32021.33Public Service
industrial revolutions182021.33All Industry
internet of things272021.33Electronics
manufacturing industries32021.33Manufacturing
automation72021.43All Industry
energy utilization42021.50Energy
smart manufacturing92021.56Manufacturing
blockchain82021.62Electronics
cobots32021.67Electronics
cryptography32021.67Electronics
cyber-physical systems92021.67Electronics
intelligent systems32021.67Electronics
virtual reality32021.67Electronics
machine learning82021.75Electronics
industrial research92021.78All Industry
manufacture92021.78Manufacturing
sustainable development192021.79All Industry
deep learning62021.83Electronics
edge computing82021.88Electronics
embedded systems102021.90Electronics
5G mobile communication systems32022.00Electronics
6G mobile communication32022.00Electronics
cognitive systems32022.00Electronics
digital devices32022.00Electronics
digital transformation62022.00All Industry
digital twin32022.00Electronics
digitalization42022.00All Industry
energy efficiency42022.00Energy
heterogeneous networks32022.00Electronics
industrial internet of things32022.00Electronics
machinery42022.00Manufacturing
manufacturing process32022.00Manufacturing
mobile communications32022.00Electronics
mobile telecommunication systems32022.00Electronics
smart contract32022.00Electronics
supply chains82022.00All Industry
Table
Table 3. Research lines most affected by industry 5.0.
Table 3. Research lines most affected by industry 5.0.
#Thematic DescriptionCall on CentralityCall on DensityRank CentralityRank DensityCluster FrequencyThematic Category
1“Industry 5.0/Industry 4.0/artificial intelligence”2.561.5119280Motor Themes
2“COVID-19/industries/digitalization”1.069.9101150Motor Themes
3“technology/robotics/human-robot collaboration”0.065.73.51014Niche Themes
4“blockchain/dew computing/optimization”0.256.38811Motor Themes
5“big data/cyber-physical systems”0.430928Basic Themes
6“digital transformation”0.120715Basic Themes
7“competitive advantage”0503.552Declining Themes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Espina-Romero, L.; Guerrero-Alcedo, J.; Goñi Avila, N.; Noroño Sánchez, J.G.; Gutiérrez Hurtado, H.; Quiñones Li, A. Industry 5.0: Tracking Scientific Activity on the Most Influential Industries, Associated Topics, and Future Research Agenda. Sustainability 2023, 15, 5554. https://doi.org/10.3390/su15065554

AMA Style

Espina-Romero L, Guerrero-Alcedo J, Goñi Avila N, Noroño Sánchez JG, Gutiérrez Hurtado H, Quiñones Li A. Industry 5.0: Tracking Scientific Activity on the Most Influential Industries, Associated Topics, and Future Research Agenda. Sustainability. 2023; 15(6):5554. https://doi.org/10.3390/su15065554

Chicago/Turabian Style

Espina-Romero, Lorena, Jesús Guerrero-Alcedo, Niria Goñi Avila, José Gregorio Noroño Sánchez, Humberto Gutiérrez Hurtado, and Aura Quiñones Li. 2023. "Industry 5.0: Tracking Scientific Activity on the Most Influential Industries, Associated Topics, and Future Research Agenda" Sustainability 15, no. 6: 5554. https://doi.org/10.3390/su15065554

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop