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.
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.
Not applicable.
Not applicable.
This study has a bibliometric approach and the data used was generated from the Scopus database.
The authors declare no conflict of interest.
Footnotes
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.
Main information.
| Description | Results |
|---|---|
| Timespan | 2019–2022 |
| Sources (journals, books, etc.) | 121 |
| Documents | 215 |
| Annual growth rate % | 214.81 |
| Document average age | 1.39 |
| Average citations per doc | 9.177 |
| References | 15111 |
| Keywords plus (ID) | 1344 |
| Author’s keywords (DE) | 867 |
| Authors | 790 |
| Authors of single-authored docs | 15 |
| Single-authored docs | 15 |
| Co-authors per Doc | 4.01 |
| International co-authorships % | 36.74 |
| Article | 151 |
| Conference paper | 37 |
| Review | 26 |
| Book chapter | 1 |
Influential industry sectors.
| Label/Term | Weight <Occurrences> | Score <Avg. |
Industry Sector |
|---|---|---|---|
| big data | 9 | 2020.33 | Electronics |
| cloud computing | 3 | 2020.33 | Electronics |
| robotics | 8 | 2020.88 | Electronics |
| technology | 10 | 2021.00 | All Industry |
| manufacturing | 7 | 2021.14 | Manufacturing |
| software | 4 | 2021.25 | Electronics |
| human-robot collaboration | 7 | 2021.29 | Electronics |
| artificial intelligence | 27 | 2021.33 | Electronics |
| engineering education | 3 | 2021.33 | Public Service |
| industrial revolutions | 18 | 2021.33 | All Industry |
| internet of things | 27 | 2021.33 | Electronics |
| manufacturing industries | 3 | 2021.33 | Manufacturing |
| automation | 7 | 2021.43 | All Industry |
| energy utilization | 4 | 2021.50 | Energy |
| smart manufacturing | 9 | 2021.56 | Manufacturing |
| blockchain | 8 | 2021.62 | Electronics |
| cobots | 3 | 2021.67 | Electronics |
| cryptography | 3 | 2021.67 | Electronics |
| cyber-physical systems | 9 | 2021.67 | Electronics |
| intelligent systems | 3 | 2021.67 | Electronics |
| virtual reality | 3 | 2021.67 | Electronics |
| machine learning | 8 | 2021.75 | Electronics |
| industrial research | 9 | 2021.78 | All Industry |
| manufacture | 9 | 2021.78 | Manufacturing |
| sustainable development | 19 | 2021.79 | All Industry |
| deep learning | 6 | 2021.83 | Electronics |
| edge computing | 8 | 2021.88 | Electronics |
| embedded systems | 10 | 2021.90 | Electronics |
| 5G mobile communication systems | 3 | 2022.00 | Electronics |
| 6G mobile communication | 3 | 2022.00 | Electronics |
| cognitive systems | 3 | 2022.00 | Electronics |
| digital devices | 3 | 2022.00 | Electronics |
| digital transformation | 6 | 2022.00 | All Industry |
| digital twin | 3 | 2022.00 | Electronics |
| digitalization | 4 | 2022.00 | All Industry |
| energy efficiency | 4 | 2022.00 | Energy |
| heterogeneous networks | 3 | 2022.00 | Electronics |
| industrial internet of things | 3 | 2022.00 | Electronics |
| machinery | 4 | 2022.00 | Manufacturing |
| manufacturing process | 3 | 2022.00 | Manufacturing |
| mobile communications | 3 | 2022.00 | Electronics |
| mobile telecommunication systems | 3 | 2022.00 | Electronics |
| smart contract | 3 | 2022.00 | Electronics |
| supply chains | 8 | 2022.00 | All Industry |
Research lines most affected by industry 5.0.
| # | Thematic Description | Call on Centrality | Call on Density | Rank Centrality | Rank Density | Cluster Frequency | Thematic Category |
|---|---|---|---|---|---|---|---|
| 1 | “Industry 5.0/Industry 4.0/artificial intelligence” | 2.5 | 61.5 | 11 | 9 | 280 | Motor Themes |
| 2 | “COVID-19/industries/digitalization” | 1.0 | 69.9 | 10 | 11 | 50 | Motor Themes |
| 3 | “technology/robotics/human-robot collaboration” | 0.0 | 65.7 | 3.5 | 10 | 14 | Niche Themes |
| 4 | “blockchain/dew computing/optimization” | 0.2 | 56.3 | 8 | 8 | 11 | Motor Themes |
| 5 | “big data/cyber-physical systems” | 0.4 | 30 | 9 | 2 | 8 | Basic Themes |
| 6 | “digital transformation” | 0.1 | 20 | 7 | 1 | 5 | Basic Themes |
| 7 | “competitive advantage” | 0 | 50 | 3.5 | 5 | 2 | Declining Themes |
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. [DOI: https://dx.doi.org/10.3390/app10124182]
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. [DOI: https://dx.doi.org/10.3390/su14031391]
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. [DOI: https://dx.doi.org/10.3390/app121910065]
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. [DOI: https://dx.doi.org/10.1016/j.techsoc.2022.101887]
5. Grabowska, S.; Saniuk, S.; Gajdzik, B. Industry 5.0: Improving Humanization and Sustainability of Industry 4.0. Scientometrics; 2022; 127, pp. 3117-3144. [DOI: https://dx.doi.org/10.1007/s11192-022-04370-1]
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, pp. 530-535. [DOI: https://dx.doi.org/10.1016/j.jmsy.2021.10.006]
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, pp. 7862-7874. [DOI: https://dx.doi.org/10.1109/TII.2022.3161029]
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, pp. 5537-5546. [DOI: https://dx.doi.org/10.1109/TII.2022.3142723]
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, pp. 5527-5536. [DOI: https://dx.doi.org/10.1109/TII.2021.3134285]
10. Doyle-Kent, M.; Kopacek, P. Industry 5.0: Is the Manufacturing Industry on the Cusp of a New Revolution?. 19th International Symposium for Production Research, ISPR 2019; Springer Science and Business Media Deutschland GmbH: Waterford, Ireland, 2020; pp. 432-441. [DOI: https://dx.doi.org/10.1007/978-3-030-31343-2_38]
11. Fazal, N.; Haleem, A.; Bahl, S.; Javaid, M.; Nandan, D. Digital Management Systems in Manufacturing Using Industry 5.0 Technologies. 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. [DOI: https://dx.doi.org/10.1007/978-981-16-8341-1_18]
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, pp. 716-737. [DOI: https://dx.doi.org/10.1016/j.spc.2022.08.003]
13. Wajid, U.; Nizamis, A.; Anaya, V. Towards Industry 5.0—A Trustworthy AI Framework for Digital Manufacturing with Humans in Control. 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022; CEUR-WS: Information Catalyst for Enterprise: London, UK, 2022; Volume 3214.
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. 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. [DOI: https://dx.doi.org/10.1109/SMART52563.2021.9676275]
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, pp. 2065-2077. [DOI: https://dx.doi.org/10.1109/TII.2022.3215231]
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. 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.
17. Demir, K.A.; Döven, G.; Sezen, B. Industry 5.0 and Human-Robot Co-Working. 3rd World Conference on Technology, Innovation and Entrepreneurship, WOCTINE 2019; Elsevier B.V.: Kocaeli, Turkey, 2019; Volume 158, pp. 688-695. [DOI: https://dx.doi.org/10.1016/j.procs.2019.09.104]
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, pp. 392-410. [DOI: https://dx.doi.org/10.1016/j.jmsy.2022.04.007]
19. Prassida, G.F.; Asfari, U. A Conceptual Model for the Acceptance of Collaborative Robots in Industry 5.0. 6th Information Systems International Conference, ISICO 2021; Elsevier B.V.: Gresik, Indonesia, 2021; Volume 197, pp. 61-67. [DOI: https://dx.doi.org/10.1016/j.procs.2021.12.118]
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; pp. 1-18. [DOI: https://dx.doi.org/10.1109/TEM.2022.3143466]
21. Nahavandi, S. Industry 5.0-a Human-Centric Solution. Sustainability; 2019; 11, 4371. [DOI: https://dx.doi.org/10.3390/su11164371]
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, pp. 65-76. [DOI: https://dx.doi.org/10.1089/omi.2017.0194] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29293405]
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, pp. 327-348. [DOI: https://dx.doi.org/10.1142/S2424862220500141]
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. 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. [DOI: https://dx.doi.org/10.1109/ITQMIS.2019.8928305]
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. [DOI: https://dx.doi.org/10.3390/info11020124]
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. [DOI: https://dx.doi.org/10.1016/j.jii.2021.100257]
27. Elim, H.I.; Zhai, G. Control System of Multitasking Interactions between Society 5.0 and Industry 5.0: A Conceptual Introduction & Its Applications. 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, [DOI: https://dx.doi.org/10.1088/1742-6596/1463/1/012035]
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, [DOI: https://dx.doi.org/10.1016/j.ecmx.2020.100048]
29. Demir, K.A.; Cicibaş, H. The next Industrial Revolution: Industry 5.0 and Discussions on Industry 4.0. Industry 4.0 from the MIS Perspective; Peter Lang AG: Istanbul, Turkey, 2019; pp. 247-260.
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. [DOI: https://dx.doi.org/10.1016/j.jii.2021.100311]
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, pp. 424-428. [DOI: https://dx.doi.org/10.1016/j.jmsy.2022.07.010]
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; pp. 1-26. [DOI: https://dx.doi.org/10.1080/00207543.2022.2138611]
33. Ivanov, D. The Industry 5.0 Framework: Viability-Based Integration of the Resilience, Sustainability, and Human-Centricity Perspectives. Int. J. Prod. Res.; 2022; pp. 1-13. [DOI: https://dx.doi.org/10.1080/00207543.2022.2118892]
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, pp. 387-392. [DOI: https://dx.doi.org/10.1515/zwf-2021-0091]
35. Chin, S.T.S. Influence of Emotional Intelligence on the Workforce for Industry 5.0. IBIMA Bus. Rev.; 2021; 2021, [DOI: https://dx.doi.org/10.5171/2021.882278]
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. 10th International Conference on Mechanical Technologies and Structural Materials, MTSM 2021; Croatian Society for Mechanical Technologies: Split, Croatia, 2021; Volume 2021, pp. 111-117.
37. Thakur, P.; Kumar Sehgal, V. Emerging Architecture for Heterogeneous Smart Cyber-Physical Systems for Industry 5.0. Comput. Ind. Eng.; 2021; 162, 107750. [DOI: https://dx.doi.org/10.1016/j.cie.2021.107750]
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, pp. 69160-69199. [DOI: https://dx.doi.org/10.1109/ACCESS.2022.3186892]
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. [DOI: https://dx.doi.org/10.1590/0001-3765202120191290]
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, pp. 7010-7027. [DOI: https://dx.doi.org/10.3934/mbe.2021349]
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. [DOI: https://dx.doi.org/10.3390/en15145221]
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. [DOI: https://dx.doi.org/10.3390/asi5010027]
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, pp. 634-646. [DOI: https://dx.doi.org/10.14569/IJACSA.2021.0121070]
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. Imaging and Sensing for Unmanned Aircraft Systems: Deployment and Applications; Institution of Engineering and Technology: Campinas, Brazil, 2020; pp. 1-22. [DOI: https://dx.doi.org/10.1049/pbce120g_ch1]
45. Sachsenmeier, P. Industry 5.0—The Relevance and Implications of Bionics and Synthetic Biology. Engineering; 2016; 2, pp. 225-229. [DOI: https://dx.doi.org/10.1016/J.ENG.2016.02.015]
46. Fernandes, N.; Barros, J.P.; Campos-Rebelo, R. A Graphical and Executable Model for Production Simulation in the Context of Industry 5.0. 31st IEEE International Symposium on Industrial Electronics, ISIE 2022; Institute of Electrical and Electronics Engineers Inc.: Beja, Portugal, 2022; 2022-June, pp. 233-238. [DOI: https://dx.doi.org/10.1109/ISIE51582.2022.9831527]
47. Garcia, A.; Quartulli, M.; Olaizola, I.G.; Barandiaran, I. Relevance of Visualization and Interaction Technologies for Industry 5.0. 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022; CEUR-WS: Donostia-San Sebastián, Spain, 2022; Volume 3214.
48. Martins, Y.S.; Domingues, J.P.T.; Poltronieri, C.F.; Leite, L.R. The Emergence of Industry 5.0: A Bibliometric Analysis. 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.
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. [DOI: https://dx.doi.org/10.3390/s22010190]
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, pp. 109395-109430. [DOI: https://dx.doi.org/10.1109/ACCESS.2022.3211288]
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; [DOI: https://dx.doi.org/10.1108/DLO-04-2022-0063]
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, pp. 5432-5434. [DOI: https://dx.doi.org/10.1109/TII.2022.3153833]
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. [DOI: https://dx.doi.org/10.3390/su142215258]
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. [DOI: https://dx.doi.org/10.3390/s22218377] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36366073]
55. Jeyaraman, M.; Nallakumarasamy, A.; Jeyaraman, N. Industry 5.0 in Orthopaedics. Indian J. Orthop.; 2022; 56, pp. 1694-1702. [DOI: https://dx.doi.org/10.1007/s43465-022-00712-6]
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, pp. 279-295. [DOI: https://dx.doi.org/10.1016/j.jmsy.2022.09.017]
57. Müller, J. Enabling Technologies for Industry 5.0: Results of a Workshop with Europe’s Technology Leaders. Eur. Comm. Dir. Res. Innov.; 2020; [DOI: https://dx.doi.org/10.2777/082634]
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; [DOI: https://dx.doi.org/10.2777/308407]
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; [DOI: https://dx.doi.org/10.2777/17322]
60. Aria, M.; Cuccurullo, C. Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis. J. Inf.; 2017; 11, pp. 959-975. [DOI: https://dx.doi.org/10.1016/j.joi.2017.08.007]
61. Zupic, I.; Čater, T. Bibliometric Methods in Management and Organization. Organ. Res. Methods; 2015; 18, pp. 429-472. [DOI: https://dx.doi.org/10.1177/1094428114562629]
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, pp. 3445-3471. [DOI: https://dx.doi.org/10.1007/s13132-021-00854-2]
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, pp. 2485-2498. [DOI: https://dx.doi.org/10.1108/JKM-09-2021-0718]
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. [DOI: https://dx.doi.org/10.3390/su142214847]
65. Massaro, A. Advanced Control Systems in Industry 5.0 Enabling Process Mining. Sensors; 2022; 22, 8677. [DOI: https://dx.doi.org/10.3390/s22228677]
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. [DOI: https://dx.doi.org/10.3390/s22218153]
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, [DOI: https://dx.doi.org/10.1016/j.cie.2022.108661]
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, pp. 10422-10429. [DOI: https://dx.doi.org/10.1109/LRA.2022.3193728]
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, pp. 1527-1544. [DOI: https://dx.doi.org/10.3846/tede.2022.17680]
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, pp. 72-78. [DOI: https://dx.doi.org/10.1109/MCOM.001.2200016]
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, [DOI: https://dx.doi.org/10.1016/j.jclepro.2022.132608]
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. 29th ISTE International Conference on Transdisciplinary Engineering, TE 2022; IOS Press BV: Bath, UK, 2022; Volume 28, pp. 717-726. [DOI: https://dx.doi.org/10.3233/ATDE220705]
73. Pozo, E.; Patel, N.; Schrödel, F. Collaborative Robotic Environment for Educational Training in Industry 5.0 Using an Open Lab Approach. 13th IFAC Symposium on Advances in Control Education, ACE 2022; Elsevier B.V.: Schmalkalden, Germany, 2022; Volume 55, pp. 314-319. [DOI: https://dx.doi.org/10.1016/j.ifacol.2022.09.298]
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. 8th International Conference on Computer Technology Applications, ICCTA 2022; Association for Computing Machinery: Graz, Austria, 2022; pp. 263-267. [DOI: https://dx.doi.org/10.1145/3543712.3543738]
75. Villani, V.; Gabbi, M.; Sabattini, L. Promoting Operator’s Wellbeing in Industry 5.0: Detecting Mental and Physical Fatigue. 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022; Institute of Electrical and Electronics Engineers Inc.: Reggio Emilia, Italy, 2022; 2022-Octob, pp. 2030-2036. [DOI: https://dx.doi.org/10.1109/SMC53654.2022.9945324]
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). 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022; Institute of Electrical and Electronics Engineers Inc.: Geelong, Australia, 2022; 2022-Octob, pp. 2569-2574. [DOI: https://dx.doi.org/10.1109/SMC53654.2022.9945535]
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. 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; [DOI: https://dx.doi.org/10.1109/ICSES55317.2022.9914151]
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. 27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022; Institute of Electrical and Electronics Engineers Inc.: Lugano, Switzerland, 2022; 2022-Septe, [DOI: https://dx.doi.org/10.1109/ETFA52439.2022.9921627]
79. Henriksen, B.; Røstad, C.C.; Thomassen, M.K. Industry 5.0—Making It Happen in the Agri Industry. The Core Product Service Platform. 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. [DOI: https://dx.doi.org/10.1007/978-3-031-16407-1_50]
80. Voulgaridis, K.; Lagkas, T.; Sarigiannidis, P. Towards Industry 5.0 and Digital Circular Economy: Current Research and Application Trends. 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. [DOI: https://dx.doi.org/10.1109/DCOSS54816.2022.00037]
81. Adel, A. Future of Industry 5.0 in Society: Human-Centric Solutions, Challenges and Prospective Research Areas. J. Cloud Comput.; 2022; 11, pp. 1-15. [DOI: https://dx.doi.org/10.1186/s13677-022-00314-5] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36101900]
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, [DOI: https://dx.doi.org/10.1016/j.tourman.2022.104586]
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. Increasing Supply Chain Performance in Digital Society; IGI Global: Hershey, PN, USA, 2022; pp. 101-130. [DOI: https://dx.doi.org/10.4018/978-1-7998-9715-6.ch006]
84. Haleem, A.; Javaid, M. Industry 5.0 and Its Applications in Orthopaedics. J. Clin. Orthop. Trauma; 2019; 10, pp. 807-808. [DOI: https://dx.doi.org/10.1016/j.jcot.2018.12.010]
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?. 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. [DOI: https://dx.doi.org/10.1007/978-3-030-62784-3_25]
86. Saptaningtyas, W.W.E.; Rahayu, D.K. A Proposed Model for Food Manufacturing in Smes: Facing Industry 5.0. Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management, IOEM 2020; IEOM Society: Samarinda, Indonesia, 2020.
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. [DOI: https://dx.doi.org/10.3390/s21175745]
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, pp. 1-13. [DOI: https://dx.doi.org/10.1155/2021/9298166]
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. [DOI: https://dx.doi.org/10.3390/socsci10110427]
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, pp. 4215-4223. [DOI: https://dx.doi.org/10.1109/TII.2021.3133885]
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, pp. 612-627. [DOI: https://dx.doi.org/10.1016/j.jmsy.2022.02.001]
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; [DOI: https://dx.doi.org/10.1080/00207543.2022.2089929]
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. [DOI: https://dx.doi.org/10.3390/machines10100858]
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, pp. 1-18. [DOI: https://dx.doi.org/10.1155/2022/1404378]
95. Di Nardo, M.; Yu, H. Special Issue “Industry 5.0: The Prelude to the Sixth Industrial Revolution”. Appl. Syst. Innov.; 2021; 4, 45. [DOI: https://dx.doi.org/10.3390/asi4030045]
96. Dautaj, M.; Rossi, M. Towards a New Society: Solving the Dilemma Between Society 5.0 and Industry 5.0. 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. [DOI: https://dx.doi.org/10.1007/978-3-030-94335-6_37]
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. [DOI: https://dx.doi.org/10.3390/app12042053]
98. Moller, D.P.F.; Vakilzadian, H.; Haas, R.E. From Industry 4.0 towards Industry 5.0. 2022 IEEE International Conference on Electro Information Technology, eIT 2022; IEEE Computer Society: Clausthal, Germany, 2022; Volume 2022, pp. 61-68. [DOI: https://dx.doi.org/10.1109/eIT53891.2022.9813831]
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, [DOI: https://dx.doi.org/10.1016/j.jik.2022.100277]
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, pp. 125-132. [DOI: https://dx.doi.org/10.1016/j.jor.2022.06.001]
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. [DOI: https://dx.doi.org/10.3390/s22218500]
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. [DOI: https://dx.doi.org/10.3390/app12031192]
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, pp. 64348-64374. [DOI: https://dx.doi.org/10.1109/ACCESS.2022.3182491]
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, pp. 5485-5493. [DOI: https://dx.doi.org/10.1109/TII.2021.3120511]
105. Mazur, B.; Walczyna, A. Sustainable Development Competences of Engineering Students in Light of the Industry 5.0 Concept. Sustainability; 2022; 14, 7233. [DOI: https://dx.doi.org/10.3390/su14127233]
106. Ghani, A. Engineering Education at the Age of Industry 5.0—Higher Education at the Crossroads. World Trans. Eng. Technol. Educ.; 2022; 20, pp. 112-117.
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, pp. 12-18. [DOI: https://dx.doi.org/10.12913/22998624/146420]
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, [DOI: https://dx.doi.org/10.1016/j.matdes.2022.111229]
109. Ciobanu, A.C.; Meșniță, G. AI Ethics for Industry 5.0—From Principles to Practice. 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022; CEUR-WS: Iași, Romania, 2022; Volume 3214.
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?. 2022 Interoperability for Enterprise Systems and Applications Workshops, I-ESA Workshops 2022; CEUR-WS: Donostia-San Sebastian, Spain, 2022; 3214.
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. [DOI: https://dx.doi.org/10.3390/joitmc8030152]
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, pp. 507-530. [DOI: https://dx.doi.org/10.1142/S2424862220500220]
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. 10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022; Springer Science and Business Media Deutschland GmbH: Cuenca, Ecuador, 2022; pp. 85-100. [DOI: https://dx.doi.org/10.1007/978-3-031-18272-3_7]
114. Espina-Romero, L.; Guerrero-Alcedo, J.M. Fields Touched by Digitalization: Analysis of Scientific Activity in Scopus. Sustainability; 2022; 14, 14425. [DOI: https://dx.doi.org/10.3390/su142114425]
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. 2021 Forum on Specification and Design Languages, FDL 2021; IEEE Computer Society: Department of Computer Science, University of Verona: Verona, Italy, 2021; 2021-Septe, [DOI: https://dx.doi.org/10.1109/FDL53530.2021.9568371]
116. Chaudhari, P.; Utgikar, R.; Kelkar, B.; Borse, P. A Novel Approach: Bioeconomy Industry 5.0 Enhanced Version. 4th IEEE Pune Section International Conference, PuneCon 2021; Institute of Electrical and Electronics Engineers Inc.: Pune, India, 2021; [DOI: https://dx.doi.org/10.1109/PuneCon52575.2021.9686495]
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, pp. 7118-7127. [DOI: https://dx.doi.org/10.1109/TII.2021.3129631]
118. Chander, B.; Pal, S.; De, D.; Buyya, R. Artificial Intelligence-Based Internet of Things for Industry 5.0. Internet of Things; Springer Science and Business Media Deutschland GmbH: Pondicherry, India, 2022; pp. 3-45. [DOI: https://dx.doi.org/10.1007/978-3-030-87059-1_1]
119. Yang, H.; Asheralieva, A.; Zhang, J.; Karim, M.M.; Niyato, D.T.; Raza, K.A. User-Centric Blockchain for Industry 5.0 Applications. 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022; Institute of Electrical and Electronics Engineers Inc.: Shenzhen, China, 2022; pp. 25-30. [DOI: https://dx.doi.org/10.1109/ICCWorkshops53468.2022.9814562]
120. De, D.; Karmakar, A.; Banerjee, P.S.; Bhattacharyya, S.; Rodrigues, J. BCoT: Introduction to Blockchain-Based Internet of Things for Industry 5.0. Lecture Notes on Data Engineering and Communications Technologies; Springer Science and Business Media Deutschland GmbH: WestBengal, Kolkata, India, 2022; pp. 1-22. [DOI: https://dx.doi.org/10.1007/978-981-16-9260-4_1]
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. International Conference on Ubiquitous Intelligent Systems, ICUIS 2021; Springer Science and Business Media Deutschland GmbH: Chennai, India, 2022; pp. 279-294. [DOI: https://dx.doi.org/10.1007/978-981-16-3675-2_21]
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, pp. 1-8. [DOI: https://dx.doi.org/10.1155/2022/2490033]
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. [DOI: https://dx.doi.org/10.3390/systems10040097]
124. Lachvajderová, L.; Kádárová, J. Industry 4.0 Implementation and Industry 5.0 Readiness in Industrial Enterprises. Manag. Prod. Eng. Rev.; 2022; 13, pp. 102-109. [DOI: https://dx.doi.org/10.24425/mper.2022.142387]
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, [DOI: https://dx.doi.org/10.1177/21582440221094608]
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, pp. 166-178. [DOI: https://dx.doi.org/10.12913/22998624/156222]
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Details
; Niria Goñi Avila 1 ; José Gregorio Noroño Sánchez 3
; Humberto Gutiérrez Hurtado 1
; 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