Exploring the transition from techno centric industry 4.0 towards value centric industry 5.0: a systematic literature review

References

• Aceta, C., I. Fernández, and A. Soroa. 2022. “KIDE4I: A Generic Semantics-Based Task-Oriented Dialogue System for Human-Machine Interaction in Industry 5.0.” Applied Sciences 12 (3), https://doi.org/10.3390/app12031192.
   Google Scholar
• Adam, C., C. Aringer-Walch, and K. Bengler. 2019. Digitalization in Manufacturing – Employees, Do You Want to Work There? Paper presented at the Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham.
   Google Scholar
• Agnusdei, G. P., V. Elia, and M. G. Gnoni. 2021. “Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review.” Applied Sciences 11 (6), https://doi.org/10.3390/app11062767.
   Google Scholar
• Aivaliotis, P., D. Kaliakatsos-Georgopoulos, A. Papavasileiou, and S. Makris. 2021. “A Design of Human and Overhead Robot Interaction (HoRI) Framework for Cooperative Robotic Applications in Copper Industry.” Procedia CIRP 104: 1500–1505. https://doi.org/10.1016/j.procir.2021.11.253.
   Google Scholar
• Alkemade, F., and R. A. A. Suurs. 2012. “Patterns of Expectations for Emerging Sustainable Technologies.” Technological Forecasting and Social Change 79 (3): 448–456. https://doi.org/10.1016/j.techfore.2011.08.014.
   Web of Science ®Google Scholar
• Althabhawi, N., Z. Zainol, and P. Bagheri. 2022. “Society 5.0: A New Challenge to Legal Norms [41] Society 5.0: A New Challenge to Legal Norms.” Sriwijaya Law Review 6: 41–54. https://doi.org/10.28946/slrev.Vol6.Iss1.1415.pp41-54.
   Google Scholar
• Amadasun, K. N., M. Short, R. Shankar-Priya, and T. Crosbie. 2021. “Transitioning to Society 5.0 in Africa: Tools to Support ICT Infrastructure Sharing.” Data 6 (7), https://doi.org/10.3390/data6070069.
   PubMed Web of Science ®Google Scholar
• Aquilani, B., M. Piccarozzi, T. Abbate, and A. Codini. 2020. “The Role of Open Innovation and Value Co-Creation in the Challenging Transition from Industry 4.0 to Society 5.0: Toward a Theoretical Framework.” Sustainability 12 (21), https://doi.org/10.3390/su12218943.
   Web of Science ®Google Scholar
• Arkouli, Z., G. Kokotinis, G. Michalos, N. Dimitropoulos, and S. Makris. 2021. “AI-enhanced Cooperating Robots for Reconfigurable Manufacturing of Large Parts.” IFAC-PapersOnLine 54 (1): 617–622. https://doi.org/10.1016/j.ifacol.2021.08.072.
   Google Scholar
• Ávila-Gutiérrez, M. J., S. Suarez-Fernandez de Miranda, and F. Aguayo-González. 2022. “Occupational Safety and Health 5.0; A Model for Multilevel Strategic Deployment Aligned with the Sustainable Development Goals of Agenda 2030.” Sustainability 14 (11), https://doi.org/10.3390/su14116741.
   Web of Science ®Google Scholar
• Baroroh, D. K., and C.-H. Chu. 2022. “Human-centric Production System Simulation in Mixed Reality: An Exemplary Case of Logistic Facility Design.” Journal of Manufacturing Systems 65: 146–157. https://doi.org/10.1016/j.jmsy.2022.09.005.
   Web of Science ®Google Scholar
• Baroroh, D. K., C.-H. Chu, and L. Wang. 2021. “Systematic Literature Review on Augmented Reality in Smart Manufacturing: Collaboration Between Human and Computational Intelligence.” Journal of Manufacturing Systems 61: 696–711. https://doi.org/10.1016/j.jmsy.2020.10.017
   Google Scholar
• Bavaresco, R., H. Arruda, E. Rocha, J. Barbosa, and G.-P. Li. 2021. “Internet of Things and Occupational Well-Being in Industry 4.0: A Systematic Mapping Study and Taxonomy.” Computers & Industrial Engineering 161: 107670. https://doi.org/10.1016/j.cie.2021.107670.
   Web of Science ®Google Scholar
• Berg, J., T. Reckordt, C. Richter, and G. Reinhart. 2018. “Action Recognition in Assembly for Human-Robot-Cooperation Using Hidden Markov Models.” Procedia CIRP 76: 205–210. https://doi.org/10.1016/j.procir.2018.02.029.
   Google Scholar
• Berg, J., and G. Reinhart. 2017. “An Integrated Planning and Programming System for Human-Robot-Cooperation.” Procedia CIRP 63: 95–100. https://doi.org/10.1016/j.procir.2017.03.318.
   Google Scholar
• Bergek, A., S. Jacobsson, B. Carlsson, S. Lindmark, and A. Rickne. 2008. “Analyzing the Functional Dynamics of Technological Innovation Systems: A Scheme of Analysis.” Research Policy 37 (3): 407–429. https://doi.org/10.1016/j.respol.2007.12.003.
   Web of Science ®Google Scholar
• Bernal, G., S. Colombo, M. Baky, and F. Casalegno. 2017. Safety++: Designing IoT and Wearable Systems for Industrial Safety through a User Centered Design Approach. Paper presented at the PETRA '17: 10th International Conference on PErvasive Technologies Related to Assistive Environments, Island of Rhodes, Greece. https://doi.org/10.1145/3056540.3056557.
   Google Scholar
• Berrah, L., V. Cliville, D. Trentesaux, and C. Chapel. 2021. “Industrial Performance: An Evolution Incorporating Ethics in the Context of Industry 4.0.” Sustainability 13: 1–21. https://doi.org/10.3390/su13169209.
   Web of Science ®Google Scholar
• Berry, S., K. Davidson, and W. Saman. 2013. “The Impact of Niche Green Developments in Transforming the Building Sector: The Case Study of Lochiel Park.” Energy Policy 62: 646–655. https://doi.org/10.1016/j.enpol.2013.07.067.
   Web of Science ®Google Scholar
• Bettini, Y., R. R. Brown, F. J. de Haan, and M. Farrelly. 2015. “Understanding Institutional Capacity for Urban Water Transitions.” Technological Forecasting and Social Change 94: 65–79. https://doi.org/10.1016/j.techfore.2014.06.002.
   Web of Science ®Google Scholar
• Bittencourt, V. L., A. C. Alves, and C. P. Leão. 2021. “Industry 4.0 Triggered by Lean Thinking: Insights from a Systematic Literature Review.” International Journal of Production Research 59 (5): 1496–1510. https://doi.org/10.1080/00207543.2020.1832274.
   Web of Science ®Google Scholar
• Boada, J. P., B. R. Maestre, and C. T. Genís. 2021. “The Ethical Issues of Social Assistive Robotics: A Critical Literature Review.” Technology in Society 67: 101726. https://doi.org/10.1016/j.techsoc.2021.101726.
   Web of Science ®Google Scholar
• Bortolini, M., M. Faccio, F. Galizia, M. Gamberi, and F. Pilati. 2020a. “Design, Engineering and Testing of an Innovative Adaptive Automation Assembly System.” Assembly Automation 40 (3): 531–540. https://doi.org/10.1108/AA-06-2019-0103.
   Web of Science ®Google Scholar
• Bortolini, M., M. Faccio, F. G. Galizia, M. Gamberi, and F. Pilati. 2021. “Adaptive Automation Assembly Systems in the Industry 4.0 Era: A Reference Framework and Full–Scale Prototype.” Applied Sciences 11 (3), https://doi.org/10.3390/app11031256.
   Google Scholar
• Bortolini, M., M. Faccio, M. Gamberi, and F. Pilati. 2020b. “Motion Analysis System (MAS) for Production and Ergonomics Assessment in the Manufacturing Processes.” Computers & Industrial Engineering 139: 105485. https://doi.org/10.1016/j.cie.2018.10.046.
   Web of Science ®Google Scholar
• Bousdekis, A., D. Apostolou, and G. Mentzas. 2020. “A Human Cyber Physical System Framework for Operator 4.0 – Artificial Intelligence Symbiosis.” Manufacturing Letters 25: 10–15. https://doi.org/10.1016/j.mfglet.2020.06.001.
   Google Scholar
• Breque, M., L. D. Nul, and A. Petridis. 2021. “Industry 5.0: Towards a Sustainable, Humancentric and Resilient European Industry.” European Commission, Directorate-General for Research and Innovation 1–44.
   Google Scholar
• Brunetti, D., C. Gena, and F. Vernero. 2022. “Smart Interactive Technologies in the Human-Centric Factory 5.0: A Survey.” Applied Sciences-Basel 12 (16), https://doi.org/10.3390/app12167965.
   Web of Science ®Google Scholar
• Brunzini, A., F. Grandi, M. Peruzzini, and M. Pellicciari. 2021. “Virtual Training for Assembly Tasks: A Framework for the Analysis of the Cognitive Impact on Operators.” Procedia Manufacturing 55: 527–534. https://doi.org/10.1016/j.promfg.2021.10.072.
   Google Scholar
• Can, Y. S., B. Arnrich, and C. Ersoy. 2019. “Stress Detection in Daily Life Scenarios Using Smart Phones and Wearable Sensors: A Survey.” Journal of Biomedical Informatics 92: 103–139. https://doi.org/10.1016/j.jbi.2019.103139.
   Google Scholar
• Carayannis, E. G., J. Draper, and B. Bhaneja. 2021. “Towards Fusion Energy in the Industry 5.0 and Society 5.0 Context: Call for a Global Commission for Urgent Action on Fusion Energy.” Journal of the Knowledge Economy 12 (4): 1891–1904. https://doi.org/10.1007/s13132-020-00695-5.
   Web of Science ®Google Scholar
• Carlos Alberto, P. J., P. J. Sonia Karina, S. A. Francisca Irene, and RÁ Adrielly Nahomee. 2021. “Waste Reduction in Printing Process by Implementing a Video Inspection System as a Human Machine Interface.” Procedia Computer Science 180: 79–85. https://doi.org/10.1016/j.procs.2021.01.131.
   Google Scholar
• Chen, X., M. A. Eder, A. Shihavuddin, and D. Zheng. 2021. “A Human-Cyber-Physical System Toward Intelligent Wind Turbine Operation and Maintenance.” Sustainability 13 (2), https://doi.org/10.3390/su13020561.
   PubMed Web of Science ®Google Scholar
• Choi, T.-M., A. Dolgui, D. Ivanov, and E. Pesch. 2022. “OR and Analytics for Digital, Resilient, and Sustainable Manufacturing 4.0.” Annals of Operations Research 310 (1): 1–6. https://doi.org/10.1007/s10479-022-04536-3.
   Web of Science ®Google Scholar
• Ciccarelli, M., A. Papetti, F. Cappelletti, A. Brunzini, and M. Germani. 2022. “Combining World Class Manufacturing System and Industry 4.0 Technologies to Design Ergonomic Manufacturing Equipment.” International Journal on Interactive Design and Manufacturing (IJIDeM) 16 (1): 263–279. https://doi.org/10.1007/s12008-021-00832-7.
   Google Scholar
• Ciccarelli, M., A. Papetti, M. Germani, A. Leone, and G. Rescio. 2022. “Human Work Sustainability Tool.” Journal of Manufacturing Systems 62: 76–86. https://doi.org/10.1016/j.jmsy.2021.11.011.
   Web of Science ®Google Scholar
• Cimini, C., A. Lagorio, F. Pirola, and R. Pinto. 2019. “Exploring Human Factors in Logistics 4.0: Empirical Evidence from a Case Study.” IFAC-PapersOnLine 52 (13): 2183–2188. https://doi.org/10.1016/j.ifacol.2019.11.529.
   Google Scholar
• Cimini, C., A. Lagorio, F. Pirola, and R. Pinto. 2021. “How Human Factors Affect Operators’ Task Evolution in Logistics 4.0.” Human Factors and Ergonomics In Manufacturing 31 (1): 98–117. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091496086&doi=10.1002%2fhfm.20872&partnerID=40&md5=3a0c32dd4d8db583a2148492cd8719ba.
   Web of Science ®Google Scholar
• Cimini, C., F. Pirola, R. Pinto, and S. Cavalieri. 2020. “A Human-in-the-Loop Manufacturing Control Architecture for the Next Generation of Production Systems.” Journal of Manufacturing Systems 54: 258–271. https://doi.org/10.1016/j.jmsy.2020.01.002.
   Web of Science ®Google Scholar
• Coenen, L., P. Benneworth, and B. Truffer. 2012. “Toward a Spatial Perspective on Sustainability Transitions.” Research Policy 41 (6): 968–979. https://doi.org/10.1016/j.respol.2012.02.014.
   Web of Science ®Google Scholar
• Cohen, Y., S. Shoval, M. Faccio, and R. Minto. 2021. “Deploying Cobots in Collaborative Systems: Major Considerations and Productivity Analysis.” International Journal of Production Research 60 (6): 1815–1831. https://doi.org/10.1080/00207543.2020.1870758.
   Web of Science ®Google Scholar
• Colla, V., R. Matino, A. J. Schroder, M. Schivalocchi, and L. Romaniello. 2021. “Human-Centered Robotic Development in the Steel Shop: Improving Health, Safety and Digital Skills at the Workplace.” Metals 11 (4), https://doi.org/10.3390/met11040647.
   Web of Science ®Google Scholar
• Coronado, E., T. Kiyokawa, G. A. G. Ricardez, I. G. Ramirez-Alpizar, G. Venture, and N. Yamanobe. 2022. “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.” Journal of Manufacturing Systems 63: 392–410. https://doi.org/10.1016/j.jmsy.2022.04.007.
   Google Scholar
• Cotrino, A., M. Sebastian, and C. Gonzalez-Gaya. 2020. “Industry 4.0 Roadmap: Implementation for Small and Medium-Sized Enterprises.” Applied Sciences 10 (1): 1–17. https://doi.org/10.3390/app10238566.
   Google Scholar
• Danys, L., I. Zolotova, D. Romero, P. Papcun, E. Kajati, R. Jaros, … R. Martinek. 2022. “Visible Light Communication and Localization: A Study on Tracking Solutions for Industry 4.0 and the Operator 4.0.” Journal of Manufacturing Systems 64: 535–545. https://doi.org/10.1016/j.jmsy.2022.07.011.
   Web of Science ®Google Scholar
• Demir, K. A., G. Döven, and B. Sezen. 2019. “Industry 5.0 and Human-Robot Co-Working.” Procedia Computer Science 158: 688–695. https://doi.org/10.1016/j.procs.2019.09.104.
   Google Scholar
• De Propris, L., and D. Bailey. 2021. “Pathways of Regional Transformation and Industry 4.0.” Regional Studies 55 (10–11): 1617–1629. https://doi.org/10.1080/00343404.2021.1960962.
   Web of Science ®Google Scholar
• Digiesi, S., V. Manghisi, F. Facchini, E. Klose, M. Foglia, and C. Mummolo. 2020. “Heart Rate Variability Based Assessment of Cognitive Workload in Smart Operators.” Management and Production Engineering Review 11 (3): 56–64. https://doi.org/10.24425/mper.2020.134932.
   Web of Science ®Google Scholar
• Di Lucia, L., and K. Ericsson. 2014. “Low-carbon District Heating in Sweden – Examining a Successful Energy Transition.” Energy Research & Social Science 4: 10–20. https://doi.org/10.1016/j.erss.2014.08.005.
   Google Scholar
• Di Pasquale, V., V. De Simone, M. Salvatore, and R. Stefano. 2021. “Smart Operators: How Industry 4.0 is Affecting the Worker’s Performance in Manufacturing Contexts.” Procedia Computer Science 180: 958–967. https://doi.org/10.1016/j.procs.2021.01.347.
   Google Scholar
• Dolgui, A., and D. Ivanov. 2021. “Ripple Effect and Supply Chain Disruption Management: New Trends and Research Directions.” International Journal of Production Research 59 (1): 102–109. https://doi.org/10.1080/00207543.2021.1840148.
   Web of Science ®Google Scholar
• Donato, L. D., F. Longo, A. Ferraro, and M. Pirozzi. 2020. “An Advanced Solutions for Operators’ Training Working in Confined and /or Pollution Suspected Space.” Procedia Manufacturing 42: 254–258. https://doi.org/10.1016/j.promfg.2020.02.080.
   Google Scholar
• El Bilali, H. 2019. “The Multi-Level Perspective in Research on Sustainability Transitions in Agriculture and Food Systems: A Systematic Review.” Agriculture 9 (4): 74. https://www.mdpi.com/2077-0472/9/4/74.
   Web of Science ®Google Scholar
• Faber, M., J. Bützler, and C. M. Schlick. 2015. “Human-robot Cooperation in Future Production Systems: Analysis of Requirements for Designing an Ergonomic Work System.” Procedia Manufacturing 3: 510–517. https://doi.org/10.1016/j.promfg.2015.07.215.
   Google Scholar
• Fang, W., and J. Hong. 2022. “Bare-hand Gesture Occlusion-Aware Interactive Augmented Reality Assembly.” Journal of Manufacturing Systems 65: 169–179. https://doi.org/10.1016/j.jmsy.2022.09.009.
   Web of Science ®Google Scholar
• Fast-Berglund, Å, and D. Romero. 2019. Strategies for Implementing Collaborative Robot Applications for the Operator 4.0. Paper presented at the Advances in Production Management Systems. Production Management for the Factory of the Future, Cham.
   Google Scholar
• Fatima, Z., M. H. Tanveer, Waseemullah, S. Zardari, L. F. Naz, H. Khadim, … M. Tahir. 2022. “Production Plant and Warehouse Automation with IoT and Industry 5.0.” Applied Sciences 12 (4), https://doi.org/10.3390/app12042053.
   Google Scholar
• Feng, Y., X. Jiang, Z. Hong, Z. Li, H. Si, B. Hu, … J. Tan. 2022. “Human-cyber-physical System for Operation in Nuclear Reactor Possessing Asymmetric Multi-Task Learning-Based Predicting Framework.” Journal of Manufacturing Systems 64: 443–453. https://doi.org/10.1016/j.jmsy.2022.07.008.
   Web of Science ®Google Scholar
• Fletcher, S. R., T. Johnson, T. Adlon, J. Larreina, P. Casla, L. Parigot, … M. d. M Otero. 2020. “Adaptive Automation Assembly: Identifying System Requirements for Technical Efficiency and Worker Satisfaction.” Computers & Industrial Engineering 139: 105772. https://doi.org/10.1016/j.cie.2019.03.036.
   Web of Science ®Google Scholar
• Fonda, E., and A. Meneghetti. 2022. “The Human-Centric SMED.” Sustainability 14 (1), https://doi.org/10.3390/su14010514.
   Web of Science ®Google Scholar
• Foresti, R., S. Rossi, M. Magnani, C. Guarino Lo Bianco, and N. Delmonte. 2020. “Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance.” Engineering 6 (7): 835–846. https://doi.org/10.1016/j.eng.2019.11.014.
   Web of Science ®Google Scholar
• Fraga-Lamas, P., J. Varela-Barbeito, and T. M. Fernández-Caramés. 2021. “Next Generation Auto-Identification and Traceability Technologies for Industry 5.0: A Methodology and Practical Use Case for the Shipbuilding Industry.” Ieee Access 9: 140700–140730. https://doi.org/10.1109/ACCESS.2021.3119775.
   Web of Science ®Google Scholar
• Fruggiero, F., A. Lambiase, S. Panagou, and L. Sabattini. 2021. “Cognitive Human Modeling in Collaborative Robotics.” Procedia Manufacturing 51: 584–591. https://doi.org/10.1016/j.promfg.2020.10.082.
   Google Scholar
• Garcia, M., E. Rauch, and D. Salvalai. 2021. AI- Based Human-Robot Cooperation for Flexible Multi-Variant Manufacturing. Paper presented at the Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management Singapore.
   Google Scholar
• Garcia, M. A. R., R. Rojas, L. Gualtieri, E. Rauch, and D. Matt. 2019. “A Human-in-the-Loop Cyber-Physical System for Collaborative Assembly in Smart Manufacturing.” Procedia CIRP 81: 600–605. https://doi.org/10.1016/j.procir.2019.03.162.
   Google Scholar
• Geels, F. W. 2002. “Technological Transitions as Evolutionary Reconfiguration Processes: A Multi-Level Perspective and a Case-Study.” Research Policy 31 (8): 1257–1274. https://doi.org/10.1016/S0048-7333(02)00062-8.
   Web of Science ®Google Scholar
• Geels, F. W. 2004. “From Sectoral Systems of Innovation to Socio-Technical Systems: Insights About Dynamics and Change from Sociology and Institutional Theory.” Research Policy 33 (6): 897–920. https://doi.org/10.1016/j.respol.2004.01.015.
   Web of Science ®Google Scholar
• Geels, F. W. 2005. “The Dynamics of Transitions in Socio-Technical Systems: A Multi-Level Analysis of the Transition Pathway from Horse-Drawn Carriages to Automobiles (1860–1930).” Technology Analysis & Strategic Management 17: 445–476. https://doi.org/10.1080/09537320500357319.
   Web of Science ®Google Scholar
• Geels, F. W. 2006. “Major System Change Through Stepwise Reconfiguration: A Multi-Level Analysis of the Transformation of American Factory Production (1850–1930).” Technology in Society 28 (4): 445–476. https://doi.org/10.1016/j.techsoc.2006.09.006.
   Google Scholar
• Geels, F. W. 2007. “Transformations of Large Technical Systems: A Multilevel Analysis of the Dutch Highway System (1950–2000).” Science, Technology, & Human Values 32 (2): 123–149. https://doi.org/10.1177/0162243906293883.
   Web of Science ®Google Scholar
• Geels, F. W. 2011. “The Multi-Level Perspective on Sustainability Transitions: Responses to Seven Criticisms.” Environmental Innovation and Societal Transitions 1 (1): 24–40. https://doi.org/10.1016/j.eist.2011.02.002.
   Google Scholar
• Geels, F. W. 2018. “Disruption and low-Carbon System Transformation: Progress and new Challenges in Socio-Technical Transitions Research and the Multi-Level Perspective.” Energy Research & Social Science 37: 224–231. https://doi.org/10.1016/j.erss.2017.10.010.
   Web of Science ®Google Scholar
• Geels, F. W., and J. Schot. 2007. “Typology of Sociotechnical Transition Pathways.” Research Policy 36 (3): 399–417. https://doi.org/10.1016/j.respol.2007.01.003.
   Web of Science ®Google Scholar
• Geels, F. W., B. K. Sovacool, T. Schwanen, and S. Sorrell. 2017. “The Socio-Technical Dynamics of Low-Carbon Transitions.” Joule 1 (3): 463–479. https://doi.org/10.1016/j.joule.2017.09.018.
   Web of Science ®Google Scholar
• Ghobakhloo, M., M. Iranmanesh, M. F. Mubarak, M. Mubarik, A. Rejeb, and M. Nilashi. 2022. “Identifying Industry 5.0 Contributions to Sustainable Development: A Strategy Roadmap for Delivering Sustainability Values.” Sustainable Production and Consumption 33: 716–737. https://doi.org/10.1016/j.spc.2022.08.003.
   Web of Science ®Google Scholar
• Gil, M., M. Albert, J. Fons, and V. Pelechano. 2019. “Designing Human-in-the-Loop Autonomous Cyber-Physical Systems.” International Journal of Human-Computer Studies 130: 21–39. https://doi.org/10.1016/j.ijhcs.2019.04.006.
   Web of Science ®Google Scholar
• Gladden, M. E. 2019. “Who Will Be the Members of Society 5.0? Towards an Anthropology of Technologically Posthumanized Future Societies.” Social Sciences-Basel 8: 5. https://doi.org/10.3390/socsci8050148.
   Google Scholar
• Glock, C. H., E. H. Grosse, W. P. Neumann, and A. Feldman. 2021. “Assistive Devices for Manual Materials Handling in Warehouses: A Systematic Literature Review.” International Journal of Production Research 59 (11): 3446–3469. https://doi.org/10.1080/00207543.2020.1853845.
   Web of Science ®Google Scholar
• Golan, M., Y. Cohen, and G. Singer. 2020. “A Framework for Operator – Workstation Interaction in Industry 4.0.” International Journal of Production Research 58 (8): 2421–2432. https://doi.org/10.1080/00207543.2019.1639842.
   Web of Science ®Google Scholar
• Gorecky, D., M. Khamis, and K. Mura. 2017. “Introduction and Establishment of Virtual Training in the Factory of the Future.” International Journal of Computer Integrated Manufacturing 30 (1): 182–190. https://doi.org/10.1080/0951192X.2015.1067918.
   Web of Science ®Google Scholar
• Grabowska, S., S. Saniuk, and B. Gajdzik. 2022. “Industry 5.0: Improving Humanization And Sustainability of Industry 4.0.” Scientometrics 127 (6): 3117–3144. https://doi.org/10.1007/s11192-022-04370-1.
   Google Scholar
• Grybauskas, A., A. Stefanini, and M. Ghobakhloo. 2022. “Social Sustainability in the Age of Digitalization: A Systematic Literature Review on the Social Implications Of Industry 4.0.” Technology in Society 70: 101997. https://doi.org/10.1016/j.techsoc.2022.101997.
   Google Scholar
• Gualtieri, L., I. Palomba, F. A. Merati, E. Rauch, and R. Vidoni. 2020. “Design of Human-Centered Collaborative Assembly Workstations for the Improvement of Operators’ Physical Ergonomics and Production Efficiency: A Case Study.” Sustainability 12 (9), https://doi.org/10.3390/su12093606.
   Web of Science ®Google Scholar
• Gualtieri, L., E. Rauch, and R. Vidoni. 2021. “Emerging Research Fields in Safety and Ergonomics in Industrial Collaborative Robotics: A Systematic Literature Review.” Robotics and Computer-Integrated Manufacturing 67: 101998. https://doi.org/10.1016/j.rcim.2020.101998.
   Google Scholar
• Gualtieri, L., E. Rauch, R. Vidoni, and D. T. Matt. 2019. “An Evaluation Methodology for the Conversion of Manual Assembly Systems Into Human-Robot Collaborative Workcells.” Procedia Manufacturing 38: 358–366. https://doi.org/10.1016/j.promfg.2020.01.046.
   Google Scholar
• Habib, L., M.-P. Pacaux-Lemoine, Q. Berdal, and D. Trentesaux. 2021. “From Human-Human to Human-Machine Cooperation in Manufacturing 4.0.” Processes 9: 11. https://doi.org/10.3390/pr9111910.
   Web of Science ®Google Scholar
• Hekkert, M. P., R. A. A. Suurs, S. O. Negro, S. Kuhlmann, and R. E. H. M. Smits. 2007. “Functions of Innovation Systems: A new Approach for Analysing Technological Change.” Technological Forecasting and Social Change 74 (4): 413–432. https://doi.org/10.1016/j.techfore.2006.03.002.
   Web of Science ®Google Scholar
• Heikkilä, P., A. Honka, and E. Kaasinen. 2018. Quantified factory worker: field study of a web application supporting work well-being and productivity. Paper presented at the Proceedings of the 10th Nordic COnference on Human-Computer Interaction, Oslo, Norway.
   Google Scholar
• Herceg, I. V., V. Kuč, V. M. Mijušković, and T. Herceg. 2020. “Challenges and Driving Forces for Industry 4.0 Implementation.” Sustainability 12 (10): 4208. https://doi.org/10.3390/su12104208.
   Web of Science ®Google Scholar
• Huang, S., B. Wang, X. Li, P. Zheng, D. Mourtzis, and L. Wang. 2022. “Industry 5.0 and Society 5.0—Comparison, Complementation and co-Evolution.” Journal of Manufacturing Systems 64: 424–428. https://doi.org/10.1016/j.jmsy.2022.07.010.
   Web of Science ®Google Scholar
• Huttunen, K., J. Pirttilä, and R. Uusitalo. 2013. “The Employment Effects of low-Wage Subsidies.” Journal of Public Economics 97: 49–60. https://doi.org/10.1016/j.jpubeco.2012.09.007.
   Web of Science ®Google Scholar
• Ivanov, D. 2022. “The Industry 5.0 Framework: Viability-Based Integration of the Resilience, Sustainability, and Human-Centricity Perspectives.” International Journal of Production Research 1–13. doi:10.1080/00207543.2022.2118892
   Google Scholar
• Ivanov, D., and A. Dolgui. 2019. “New Disruption Risk Management Perspectives in Supply Chains: Digital Twins, the Ripple Effect, and Resileanness.” IFAC-PapersOnLine 52 (13): 337–342. https://doi.org/10.1016/j.ifacol.2019.11.138.
   Google Scholar
• Ivanov, D., and A. Dolgui. 2021. “A Digital Supply Chain Twin for Managing the Disruption Risks and Resilience in the era of Industry 4.0.” Production Planning & Control 32 (9): 775–788. https://doi.org/10.1080/09537287.2020.1768450.
   Web of Science ®Google Scholar
• Jacobsson, S., and A. Johnson. 2000. “The Diffusion of Renewable Energy Technology: An Analytical Framework and key Issues for Research.” Energy Policy 28 (9): 625–640. https://doi.org/10.1016/S0301-4215(00)00041-0.
   Web of Science ®Google Scholar
• Jacobsson, S., and V. Lauber. 2006. “The Politics and Policy of Energy System Transformation—Explaining the German Diffusion of Renewable Energy Technology.” Energy Policy 34 (3): 256–276. https://doi.org/10.1016/j.enpol.2004.08.029.
   Web of Science ®Google Scholar
• Jiao, J., F. Zhou, N. Z. Gebraeel, and V. Duffy. 2020. “Towards Augmenting Cyber-Physical-Human Collaborative Cognition for Human-Automation Interaction in Complex Manufacturing and Operational Environments.” International Journal of Production Research 58 (16): 5089–5111. https://doi.org/10.1080/00207543.2020.1722324.
   Web of Science ®Google Scholar
• Kaasinen, E., A.-H. Anttila, P. Heikkilä, J. Laarni, H. Koskinen, and A. Väätänen. 2022. “Smooth and Resilient Human-Machine Teamwork as an Industry 5.0 Design Challenge.” Sustainability 14 (5), https://doi.org/10.3390/su14052773.
   Web of Science ®Google Scholar
• Kaasinen, E., F. Schmalfuß, C. Özturk, S. Aromaa, M. Boubekeur, J. Heilala, … T. Walter. 2020. “Empowering and Engaging Industrial Workers with Operator 4.0 Solutions.” Computers & Industrial Engineering 139: 105678. https://doi.org/10.1016/j.cie.2019.01.052.
   Web of Science ®Google Scholar
• Kadir, B. A., and O. Broberg. 2021. “Human-centered Design of Work Systems in the Transition to Industry 4.0.” Applied Ergonomics 92: 103334. https://doi.org/10.1016/j.apergo.2020.103334.
   PubMed Web of Science ®Google Scholar
• Kadir, B. A., O. Broberg, and C. S. d Conceição. 2019. “Current Research and Future Perspectives on Human Factors and Ergonomics in Industry 4.0.” Computers & Industrial Engineering 137: 106004. https://doi.org/10.1016/j.cie.2019.106004.
   Web of Science ®Google Scholar
• Kagermann, H., and W. Wahlster. 2022. “Ten Years of Industrie 4.0.” Sci 4 (3): 26. https://doi.org/10.3390/sci4030026.
   Google Scholar
• Kagermann, H., W. Wahlster, and J. Helbig. 2012. Recommendations for Implementing the Strategic Initiative Industrie 4.0: Final Report of the Industrie 4.0 Working Group. Retrieved from Berlin, Germany.
   Google Scholar
• Kanger, L. 2021. “Rethinking the Multi-Level Perspective for Energy Transitions: From Regime Life-Cycle to Explanatory Typology of Transition Pathways.” Energy Research & Social Science 71: 101829. https://doi.org/10.1016/j.erss.2020.101829.
   Web of Science ®Google Scholar
• Karagiannis, P., T. Togias, G. Michalos, and S. Makris. 2021. “Operators Training Using Simulation And VR Technology.” Procedia CIRP 96: 290–294. https://doi.org/10.1016/j.procir.2021.01.089.
   Google Scholar
• Kemp, R., J. Schot, and R. Hoogma. 1998. “Regime Shifts to Sustainability Through Processes of Niche Formation: The Approach of Strategic Niche Management.” Technology Analysis & Strategic Management 10 (2): 175–198. https://doi.org/10.1080/09537329808524310.
   Web of Science ®Google Scholar
• Kern, F. 2012. “Using the Multi-Level Perspective on Socio-Technical Transitions to Assess Innovation Policy.” Technological Forecasting and Social Change 79 (2): 298–310. https://doi.org/10.1016/j.techfore.2011.07.004.
   Web of Science ®Google Scholar
• Kildal, J., M. Martín, I. Ipiña, and I. Maurtua. 2019. “Empowering Assembly Workers with Cognitive Disabilities by Working with Collaborative Robots: A Study to Capture Design Requirements.” Procedia CIRP 81: 797–802. https://doi.org/10.1016/j.procir.2019.03.202.
   Google Scholar
• Kondratieff, N. D., and W. F. Stolper. 1935. “The Long Waves in Economic Life.” The Review of Economics and Statistics 17 (6): 105–115. https://doi.org/10.2307/1928486.
   Google Scholar
• Konstantinidis, F. K., I. Kansizoglou, N. Santavas, S. G. Mouroutsos, and A. Gasteratos. 2020. “MARMA: A Mobile Augmented Reality Maintenance Assistant for Fast-Track Repair Procedures in the Context of Industry 4.0.” Machines 8 (4), https://doi.org/10.3390/machines8040088.
   Web of Science ®Google Scholar
• Kueffer, C., E. Underwood, G. Hirsch Hadorn, R. Holderegger, M. Lehning, C. Pohl, … P. Edwards. 2012. “Enabling Effective Problem-Oriented Research for Sustainable Development.” Ecology and Society 17: 4. https://doi.org/10.5751/ES-05045-170408.
   Web of Science ®Google Scholar
• Kumar, N., and S. C. Lee. 2022. “Human-Machine Interface in Smart Factory: A Systematic Literature Review.” Technological Forecasting and Social Change 174: 121284. https://doi.org/10.1016/j.techfore.2021.121284.
   Web of Science ®Google Scholar
• Kymäläinen, T., E. Kaasinen, A. Aikala, J. Hakulinen, T. Heimonen, H. Paunonen, … P. Mannonen. 2016. Evaluating Future Automation Work in Process Plants with an Experience-Driven Science Fiction Prototype. Paper presented at the 12th International Conference on Intelligent Environments (IE), 14–16 Sept. 2016.
   Google Scholar
• Lachman, D. A. 2013. “A Survey and Review of Approaches to Study Transitions.” Energy Policy 58: 269–276. https://doi.org/10.1016/j.enpol.2013.03.013.
   Web of Science ®Google Scholar
• Lall, M., H. Torvatn, and E. A. Seim. 2017. Towards Industry 4.0: Increased Need for Situational Awareness on the Shop Floor. Paper presented at the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, Cham.
   Google Scholar
• Leng, J., W. Sha, B. Wang, P. Zheng, C. Zhuang, Q. Liu, … L. Wang. 2022. “Industry 5.0: Prospect and Retrospect.” Journal of Manufacturing Systems 65: 279–295. https://doi.org/10.1016/j.jmsy.2022.09.017.
   Web of Science ®Google Scholar
• Liao, Y., F. Deschamps, E. d. F. R. Loures, and L. F. P. Ramos. 2017. “Past, Present and Future of Industry 4.0 – a Systematic Literature Review and Research Agenda Proposal.” International Journal of Production Research 55 (12): 3609–3629. https://doi.org/10.1080/00207543.2017.1308576.
   Web of Science ®Google Scholar
• Lithoxoidou, E., S. Doumpoulakis, A. Tsakiris, C. Ziogou, S. Krinidis, I. Paliokas, … D. Tzovaras. 2020. “A Novel Social Gamified Collaboration Platform Enriched with Shop-Floor Data and Feedback for the Improvement of the Productivity, Safety and Engagement in Factories.” Computers & Industrial Engineering 139: 105691. https://doi.org/10.1016/j.cie.2019.02.005.
   Web of Science ®Google Scholar
• Longo, F., L. Nicoletti, and A. Padovano. 2017. “Smart Operators in Industry 4.0: A Human-Centered Approach to Enhance Operators’ Capabilities and Competencies Within the new Smart Factory Context.” Computers & Industrial Engineering 113: 144–159. https://doi.org/10.1016/j.cie.2017.09.016.
   Web of Science ®Google Scholar
• Longo, F., L. Nicoletti, and A. Padovano. 2022. “New Perspectives and Results for Smart Operators in Industry 4.0: A Human-Centered Approach.” Computers & Industrial Engineering 163: 107824. https://doi.org/10.1016/j.cie.2021.107824.
   Web of Science ®Google Scholar
• Longo, F., A. Padovano, and S. Umbrello. 2020. “Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future.” Applied Sciences-Basel 10 (12), https://doi.org/10.3390/app10124182.
   Web of Science ®Google Scholar
• Loorbach, D. 2010. “Transition Management for Sustainable Development: A Prescriptive, Complexity-Based Governance Framework.” Governance 23 (1): 161–183. https://doi.org/10.1111/j.1468-0491.2009.01471.x.
   Web of Science ®Google Scholar
• Lu, Y., H. Zheng, S. Chand, W. Xia, Z. Liu, X. Xu, … J. Bao. 2022. “Outlook on Human-Centric Manufacturing Towards Industry 5.0.” Journal of Manufacturing Systems 62: 612–627. https://doi.org/10.1016/j.jmsy.2022.02.001.
   Web of Science ®Google Scholar
• Lv, Q., R. Zhang, X. Sun, Y. Lu, and J. Bao. 2021. “A Digital Twin-Driven Human-Robot Collaborative Assembly Approach in the Wake of COVID-19.” Journal of Manufacturing Systems 60: 837–851. https://doi.org/10.1016/j.jmsy.2021.02.011.
   PubMed Web of Science ®Google Scholar
• Ma, X., Q. Qi, J. Cheng, and F. Tao. 2022. “A Consistency Method for Digital Twin Model of Human-Robot Collaboration.” Journal of Manufacturing Systems 65: 550–563. https://doi.org/10.1016/j.jmsy.2022.10.012.
   Web of Science ®Google Scholar
• Machado, B., L. Teixeira, A. L. Ramos, and C. Pimentel. 2021. “Conceptual Design of an Integrated Solution for Urban Logistics Using Industry 4.0 Principles.” Procedia Computer Science 180: 807–815. https://doi.org/10.1016/j.procs.2021.01.330.
   Google Scholar
• Maddikunta, P., Q. V. Pham, D. Prabadevi, N. Deepa, K. Dev, T. Gadekallu, … M. Liyanage. 2022. “Industry 5.0: A Survey on Enabling Technologies and Potential Applications.” Journal of Industrial Information Integration 26), https://doi.org/10.1016/j.jii.2021.100257.
   Web of Science ®Google Scholar
• Madhavan, M., S. Wangtueai, M. A. Sharafuddin, and T. Chaichana. 2022. “The Precipitative Effects of Pandemic on Open Innovation of SMEs: A Scientometrics and Systematic Review of Industry 4.0 and Industry 5.0.” Journal of Open Innovation: Technology, Market, and Complexity 8 (3), https://doi.org/10.3390/joitmc8030152.
   Google Scholar
• Maharjan, D., M. Agüero, D. Mascarenas, R. Fierro, and F. Moreu. 2021. “Enabling Human–Infrastructure Interfaces for Inspection Using Augmented Reality.” Structural Health Monitoring 20 (4): 1980–1996. https://doi.org/10.1177/1475921720977017.
   Web of Science ®Google Scholar
• Manitsaris, S., G. Senteri, D. Makrygiannis, and A. Glushkova. 2020. “Human Movement Representation on Multivariate Time Series for Recognition of Professional Gestures and Forecasting Their Trajectories.” Front Robot AI 7: 80. https://doi.org/10.3389/frobt.2020.00080.
   PubMed Web of Science ®Google Scholar
• Maier, M. 2021. 6G as if People Mattered: From Industry 4.0 toward Society 5.0: (Invited Paper). Paper presented at the 2021 International Conference on Computer Communications and Networks (ICCCN), 19-22 July 2021.
   Google Scholar
• Mark, B. G., S. Hofmayer, E. Rauch, and D. T. Matt. 2019. “Inclusion of Workers with Disabilities in Production 4.0: Legal Foundations in Europe and Potentials Through Worker Assistance Systems.” Sustainability 11 (21), https://doi.org/10.3390/su11215978.
   Web of Science ®Google Scholar
• Mark, B. G., E. Rauch, and D. T. Matt. 2021. “Worker Assistance Systems in Manufacturing: A Review of the State of the art and Future Directions.” Journal of Manufacturing Systems 59: 228–250. https://doi.org/10.1016/j.jmsy.2021.02.017.
   Web of Science ®Google Scholar
• Martinez, S., A. Mariño, S. Sanchez, A. M. Montes, J. M. Triana, G. Barbieri, … M. Guevara. 2021. “A Digital Twin Demonstrator to Enable Flexible Manufacturing with Robotics: A Process Supervision Case Study.” Production & Manufacturing Research 9 (1): 140–156. https://doi.org/10.1080/21693277.2021.1964405.
   Web of Science ®Google Scholar
• Mattsson, S., Å Fast-Berglund, D. Li, and P. Thorvald. 2020. “Forming a Cognitive Automation Strategy for Operator 4.0 in Complex Assembly.” Computers & Industrial Engineering 139: 105360. https://doi.org/10.1016/j.cie.2018.08.011.
   Web of Science ®Google Scholar
• Mattsson, S., J. Partini, and Å. Fast-Berglund. 2016. “Evaluating Four Devices that Present Operator Emotions in Real-time.” Procedia CIRP 50: 524–528. https://doi.org/10.1016/j.procir.2016.05.013.
   Google Scholar
• Mavrodieva, A. V., and R. Shaw. 2020. “Disaster and Climate Change Issues in Japan’s Society 5.0—A Discussion.” Sustainability 12 (5): 1893. https://www.mdpi.com/2071-1050/12/5/1893.
   Web of Science ®Google Scholar
• Merati, F. A., L. Gualtieri, B. G. Mark, R. Rojas, E. Rauch, and D. T. Matt. 2021. Application of Axiomatic Design for the Development of Robotic Semi- and Fully Automated Assembly Processes: Two Case Studies. Paper presented at the 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 7-8 Oct. 2021.
   Google Scholar
• Mertes, J., D. Lindenschmitt, M. Amirrezai, N. Tashakor, M. Glatt, C. Schellenberger, … H. D. Schotten. 2022. “Evaluation of 5G-Capable Framework for Highly Mobile, Scalable Human-Machine Interfaces in Cyber-Physical Production Systems.” Journal of Manufacturing Systems 64: 578–593. https://doi.org/10.1016/j.jmsy.2022.08.009.
   Web of Science ®Google Scholar
• Miqueo, A., M. Torralba, and J. A. Yagüe-Fabra. 2020. “Lean Manual Assembly 4.0: A Systematic Review.” Applied Sciences 10 (23): 8555. https://www.mdpi.com/2076-3417/10/23/8555.
   Google Scholar
• Moencks, M., E. Roth, T. Bohné, and P. O. Kristensson. 2022a. “Augmented Workforce: Contextual, Cross-Hierarchical Enquiries on Human-Technology Integration in Industry.” Computers & Industrial Engineering 165: 107822. https://doi.org/10.1016/j.cie.2021.107822.
   Web of Science ®Google Scholar
• Moencks, M., E. Roth, T. Bohné, D. Romero, and J. Stahre. 2022b. “Augmented Workforce Canvas: A Management Tool for Guiding Human-Centric, Value-Driven Human-Technology Integration in Industry.” Computers & Industrial Engineering 163: 107803. https://doi.org/10.1016/j.cie.2021.107803.
   Web of Science ®Google Scholar
• Moher, D., A. Liberati, J. Tetzlaff, and D. Altman. 2009. “Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement.” PLoS Medicine 6 (7): 264–269. https://doi.org/10.7326/0003-4819-151-4-200908180-00135.
   Web of Science ®Google Scholar
• Mourtzis, D., J. Angelopoulos, and N. Panopoulos. 2021. “Smart Manufacturing and Tactile Internet Based on 5g in Industry 4.0: Challenges, Applications and new Trends.” Electronics (Basel) 10 (24): 3175. https://doi.org/10.3390/electronics10243175.
   Web of Science ®Google Scholar
• Mourtzis, D., J. Angelopoulos, and N. Panopoulos. 2022. “A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0.” Energies 15 (17), https://doi.org/10.3390/en15176276.
   Web of Science ®Google Scholar
• Mourtzis, D., N. Panopoulos, J. Angelopoulos, B. Wang, and L. Wang. 2022. “Human Centric Platforms for Personalized Value Creation in Metaverse.” Journal of Manufacturing Systems 65: 653–659. https://doi.org/10.1016/j.jmsy.2022.11.004.
   Web of Science ®Google Scholar
• Mourtzis, D., V. Zogopoulos, and E. Vlachou. 2017. “Augmented Reality Application to Support Remote Maintenance as a Service in the Robotics Industry.” Procedia CIRP 63: 46–51. https://doi.org/10.1016/j.procir.2017.03.154.
   Google Scholar
• Mukhuty, S., A. Upadhyay, and H. Rothwell. 2022. “Strategic Sustainable Development of Industry 4.0 Through the Lens of Social Responsibility: The Role of Human Resource Practices.” Business Strategy and the Environment 31 (5): 2068–2081. https://doi.org/10.1002/bse.3008.
   Web of Science ®Google Scholar
• Müller, J. 2020. Enabling Technologies for Industry 5.0: Results of a Workshop with Europe’s Technology Leaders: Publications Office. Luxembourg: Office of the European Union.
   Google Scholar
• Muslikhin, M., J. R. Horng, S. Y. Yang, M. S. Wang, and B. A. Awaluddin. 2021. “An Artificial Intelligence of Things-Based Picking Algorithm for Online Shop in the Society 5.0′s Context.” Sensors 21 (8), https://doi.org/10.3390/s21082813.
   PubMed Web of Science ®Google Scholar
• Mylonas, G., A. P. Kalogeras, G. Kalogeras, C. Anagnostopoulos, C. Alexakos, and L. Munoz. 2021. “Digital Twins from Smart Manufacturing to Smart Cities: A Survey.” Ieee Access PP: 1–1. https://doi.org/10.1109/ACCESS.2021.3120843.
   Web of Science ®Google Scholar
• Nagy, L., T. Ruppert, A. Löcklin, and J. Abonyi. 2022. “Hypergraph-based Analysis and Design of Intelligent Collaborative Manufacturing Space.” Journal of Manufacturing Systems 65: 88–103. https://doi.org/10.1016/j.jmsy.2022.08.001.
   Web of Science ®Google Scholar
• Nahavandi, S. 2019. “Industry 5.0—A Human-Centric Solution.” Sustainability 11 (16): 4371. https://www.mdpi.com/2071-1050/11/16/4371.
   Web of Science ®Google Scholar
• Naqvi, S. M. R., M. Ghufran, S. Meraghni, C. Varnier, J.-M. Nicod, and N. Zerhouni. 2022. “Human Knowledge Centered Maintenance Decision Support in Digital Twin Environment.” Journal of Manufacturing Systems 65: 528–537. https://doi.org/10.1016/j.jmsy.2022.10.003.
   Web of Science ®Google Scholar
• Neumann, W. P., S. Winkelhaus, E. H. Grosse, and C. H. Glock. 2021. “Industry 4.0 and the Human Factor – A Systems Framework and Analysis Methodology for Successful Development.” International Journal of Production Economics 233: 107992. https://doi.org/10.1016/j.ijpe.2020.107992.
   Web of Science ®Google Scholar
• Nguyen, T. D., C. Bloch, and J. Krüger. 2016. “The Working Posture Controller: Automated Adaptation of the Work Piece Pose to Enable a Natural Working Posture.” Procedia CIRP 44: 14–19. https://doi.org/10.1016/j.procir.2016.02.172.
   Google Scholar
• Nguyen Ngoc, H., G. Lasa, and I. Iriarte. 2022. “Human-centred Design in Industry 4.0: Case Study Review and Opportunities for Future Research.” Journal of Intelligent Manufacturing 33 (1): 35–76. https://doi.org/10.1007/s10845-021-01796-x.
   PubMed Web of Science ®Google Scholar
• Nikiforova, A. 2021. “Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?” Sensors 21 (15), https://doi.org/10.3390/s21155204.
   PubMed Web of Science ®Google Scholar
• Nikitas, A., K. Michalakopoulou, E. T. Njoya, and D. Karampatzakis. 2020. “Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era.” Sustainability 12 (7): 2789. https://www.mdpi.com/2071-1050/12/7/2789.
   Web of Science ®Google Scholar
• Noor-A-Rahim, M., F. Firyaguna, F. John, M. O. Khyam, D. Pesch, E. Armstrong, … H. V. Poor. 2022. “Toward Industry 5.0: Intelligent Reflecting Surface in Smart Manufacturing.” IEEE Communications Magazine 60 (10): 72–78. https://doi.org/10.1109/MCOM.001.2200016.
   Web of Science ®Google Scholar
• Ozdemir, V., and N. Hekim. 2018. “Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy.” Omics-a Journal of Integrative Biology 22 (1): 65–76. https://doi.org/10.1089/omi.2017.0194.
   PubMed Web of Science ®Google Scholar
• Palasciano, C., C. Toscano, R. Arrais, N. M. Sobral, F. Floreani, M. Sesana, and M. Taisch. 2021. “A Predictive Simulation and Optimization Architecture Based on a Knowledge Engineering User Interface to Support Operator 4.0.” IFAC-PapersOnLine 54 (1): 331–336. https://doi.org/10.1016/j.ifacol.2021.08.038.
   Google Scholar
• Panagou, S., F. Fruggiero, and A. Lambiase. 2021. The Sustainable Role of Human Factor in I4.0 scenarios. Paper presented at the International Conference of Industry 4.0 and Smart Manufacturing.
   Google Scholar
• Panetti, E., A. Parmentola, S. E. Wallis, and M. Ferretti. 2018. “What Drives Technology Transitions? An Integration of Different Approaches Within Transition Studies.” Technology Analysis & Strategic Management 30 (9): 993–1014. https://doi.org/10.1080/09537325.2018.1433295.
   Web of Science ®Google Scholar
• Papetti, A., F. Gregori, M. Pandolfi, M. Peruzzini, and M. Germani. 2020a. “A Method to Improve Workers’ Well-Being Toward Human-Centered Connected Factories.” Journal of Computational Design and Engineering 7 (5): 630–643. https://doi.org/10.1093/jcde/qwaa047.
   Web of Science ®Google Scholar
• Papetti, A., M. Rossi, R. Menghi, and M. Germani. 2020b. “Human-centered Design for Improving the Workplace in the Footwear Sector.” Procedia CIRP 91: 295–300. https://doi.org/10.1016/j.procir.2020.02.179.
   Google Scholar
• Park, J., M. B. G. Jun, and H. Yun. 2022. “Development of Robotic bin Picking Platform with Cluttered Objects Using Human Guidance and Convolutional Neural Network (CNN).” Journal of Manufacturing Systems 63: 539–549. https://doi.org/10.1016/j.jmsy.2022.05.011.
   Web of Science ®Google Scholar
• Paschek, D., C.-T. Luminosu, and E. Ocakci. 2022. “Industry 5.0 Challenges and Perspectives for Manufacturing Systems in the Society 5.0.” In Sustainability and Innovation in Manufacturing Enterprises: Indicators, Models and Assessment for Industry 5.0, edited by A. Draghici, and L. Ivascu, 17–63. Singapore: Springer Singapore.
   Google Scholar
• Pathak, P., P. Pal, M. Shrivastava, and P. Ora. 2019. “Fifth Revolution: Applied AI & Human Intelligence with Cyber Physical Systems.” International Journal of Engineering and Advanced Technology 8: 23–27.
   Google Scholar
• Peruzzini, M., F. Grandi, and M. Pellicciari. 2020. “Exploring the Potential of Operator 4.0 Interface and Monitoring.” Computers & Industrial Engineering 139: 105600. https://doi.org/10.1016/j.cie.2018.12.047.
   Web of Science ®Google Scholar
• Peruzzini, M., and M. Pellicciari. 2017. “A Framework to Design a Human-Centred Adaptive Manufacturing System for Aging Workers.” Advanced Engineering Informatics 33: 330–349. https://doi.org/10.1016/j.aei.2017.02.003.
   Web of Science ®Google Scholar
• Pilati, F., M. Faccio, M. Gamberi, and A. Regattieri. 2020. “Learning Manual Assembly Through Real-Time Motion Capture for Operator Training with Augmented Reality.” Procedia Manufacturing 45: 189–195. https://doi.org/10.1016/j.promfg.2020.04.093.
   Google Scholar
• Pinzone, M., F. Albè, D. Orlandelli, I. Barletta, C. Berlin, B. Johansson, and M. Taisch. 2020. “A Framework for Operative and Social Sustainability Functionalities in Human-Centric Cyber-Physical Production Systems.” Computers & Industrial Engineering 139: 105132. https://doi.org/10.1016/j.cie.2018.03.028.
   Web of Science ®Google Scholar
• Podgórski, D., K. Majchrzycka, A. Dąbrowska, G. Gralewicz, and M. Okrasa. 2017. “Towards a Conceptual Framework of OSH Risk Management in Smart Working Environments Based on Smart PPE, Ambient Intelligence and the Internet of Things Technologies.” International Journal of Occupational Safety and Ergonomics 23 (1): 1–20. https://doi.org/10.1080/10803548.2016.1214431.
   PubMed Web of Science ®Google Scholar
• Potocan, V., M. Mulej, and Z. Nedelko. 2021. “Society 5.0: Balancing of Industry 4.0, Economic Advancement and Social Problems.” Kybernetes 50 (3): 794–811. https://doi.org/10.1108/k-12-2019-0858.
   Web of Science ®Google Scholar
• Qiu, L., L. Dong, Y. Gao, Z. Wang, J. Tan, and Z. Ji. 2022. “An Enhanced Approach for Joint Configuration of a Robot Performing in a Repetitive Task.” Journal of Manufacturing Systems 64: 454–467. https://doi.org/10.1016/j.jmsy.2022.07.009.
   Web of Science ®Google Scholar
• Rabelo, R. J., D. Romero, and S. P. Zambiasi. 2018. Softbots Supporting the Operator 4.0 at Smart Factory Environments. Paper presented at the Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, Cham.
   Google Scholar
• Rauch, E., C. Linder, and P. Dallasega. 2020. “Anthropocentric Perspective of Production Before and Within Industry 4.0.” Computers & Industrial Engineering 139: 105644. https://doi.org/10.1016/j.cie.2019.01.018.
   Web of Science ®Google Scholar
• Reiman, A., J. Kaivo-oja, E. Parviainen, E.-P. Takala, and T. Lauraeus. 2021. “Human Factors and Ergonomics in Manufacturing in the Industry 4.0 Context – A Scoping Review.” Technology in Society 65: 101572. https://doi.org/10.1016/j.techsoc.2021.101572.
   Web of Science ®Google Scholar
• Renda, A., S. S. Schwaag, D. Tataj, A. Morlet, D. Isaksson, F. Martins, and E. Giovannini. 2022. Industry 5.0, a transformative vision for Europe: governing systemic transformations towards a sustainable industry. European Commission, Directorate-General for Research and Innovation. https://doi.org/10.2777/17322.
   Google Scholar
• Robert, M., P. Giuliani, and C. Gurau. 2022. “Implementing Industry 4.0 Real-Time Performance Management Systems: the Case of Schneider Electric.” Production Planning & Control 33 (2–3): 244–260. https://doi.org/10.1080/09537287.2020.1810761.
   Web of Science ®Google Scholar
• Rojas, R. A., E. Wehrle, and R. Vidoni. 2020. “A Multicriteria Motion Planning Approach for Combining Smoothness and Speed in Collaborative Assembly Systems.” Applied Sciences 10 (15). https://doi.org/10.3390/app10155086.
   Google Scholar
• Romero, D., O. Noran, J. Stahre, P. Bernus, and Å Fast-Berglund. 2015. Towards a Human-Centred Reference Architecture for Next Generation Balanced Automation Systems: Human-Automation Symbiosis. Paper presented at the Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, Cham.
   Google Scholar
• Romero, D., and J. Stahre. 2021. “Towards The Resilient Operator 5.0: The Future of Work in Smart Resilient Manufacturing Systems.” Procedia CIRP 104: 1089–1094. https://doi.org/10.1016/j.procir.2021.11.183.
   Google Scholar
• Romero, D., J. Stahre, T. Wuest, O. Noran, P. Bernus, A. Fast-Berglund, and D. Gorecky. 2016. Towards an operator 4.0 typology: A human centric perspective on the fourth industrial revolution technologies. Paper presented at the CIE 46 Proceedings, Tianjin, CIna.
   Google Scholar
• Roring, R., and B. How. 2022. “Towards Society 5.0: A Pilot Study on Costless Smart Transportation Business Model.” International Journal of Business and Society 23: 73–87. https://doi.org/10.33736/ijbs.4599.2022.
   Web of Science ®Google Scholar
• Rotmans, J., R. Kemp, and M. van Asselt. 2001. “More Evolution Than Revolution: Transition Management in Public Policy.” Foresight 3 (1): 15–31. https://doi.org/10.1108/14636680110803003.
   Google Scholar
• Rožanec, J. M., J. Lu, J. Rupnik, M. Škrjanc, D. Mladenić, B. Fortuna, … D. Kiritsis. 2022a. “Actionable Cognitive Twins for Decision Making in Manufacturing.” International Journal of Production Research 60 (2): 452–478. https://doi.org/10.1080/00207543.2021.2002967.
   Web of Science ®Google Scholar
• Rožanec, J., E. Trajkova, I. Novalija, P. Zajec, K. Kenda, B. Fortuna, and D. Mladenić. 2022b. “Enriching Artificial Intelligence Explanations with Knowledge Fragments.” Future Internet 14: 134. https://doi.org/10.3390/fi14050134.
   Web of Science ®Google Scholar
• Sachsenmeier, P. 2016. “Industry 5.0—The Relevance and Implications of Bionics and Synthetic Biology.” Engineering 2 (2): 225–229. https://doi.org/10.1016/J.ENG.2016.02.015.
   Web of Science ®Google Scholar
• Saggiomo, M., M. Loehrer, D. Kerpen, J. Lemm, and Y. S. Gloy. 2016. Human-and Task-Centered Assistance Systems in Production Processes of the Textile Industry: Determination of Operator-Critical Weaving Machine Components for AR-Prototype Development. Paper presented at the 2016 49th Hawaii International Conference on System Sciences (HICSS), 5-8 Jan. 2016.
   Google Scholar
• Sarfraz, Z., A. Sarfraz, H. M. Iftikar, and R. Akhund. 2021. “Is COVID-19 Pushing us to the Fifth Industrial Revolution (Society 5.0)?” Pakistan Journal of Medical Sciences 37 (2): 591–594. https://doi.org/10.12669/pjms.37.2.3387.
   PubMed Web of Science ®Google Scholar
• Schiffeler, N., V. Stehling, M. Haberstroh, and I. Isenhardt. 2018. Fostering social construction of knowledge in hybrid teams by augmented reality. Paper presented at the 2018 IEEE Global Engineering Education Conference (EDUCON), 17-20 April 2018.
   Google Scholar
• Schlagowski, R., L. Merkel, and C. Meitinger. 2018. Design of an Assistant System for Industrial Maintenance Tasks and Implementation of a Prototype Using Augmented Reality. Paper presented at the 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 10–13 Dec. 2017.
   Google Scholar
• Schot, J., R. Hoogma, and B. Elzen. 1994. “Strategies for Shifting Technological Systems: The Case of the Automobile System.” Futures 26 (10): 1060–1076. https://doi.org/10.1016/0016-3287(94)90073-6.
   Web of Science ®Google Scholar
• Segura, Á, H. V. Diez, I. Barandiaran, A. Arbelaiz, H. Álvarez, B. Simões, … R. Ugarte. 2020. “Visual Computing Technologies to Support the Operator 4.0.” Computers & Industrial Engineering 139: 105550. https://doi.org/10.1016/j.cie.2018.11.060.
   Web of Science ®Google Scholar
• Serras, M., L. García-Sardiña, B. Simões, H. Álvarez, and J. Arambarri. 2020. “Dialogue Enhanced Extended Reality: Interactive System for the Operator 4.0.” Applied Sciences 10 (11), https://doi.org/10.3390/app10113960.
   Google Scholar
• Seyfang, G., and A. Haxeltine. 2012. “Growing Grassroots Innovations: Exploring the Role of Community-Based Initiatives in Governing Sustainable Energy Transitions.” Environment and Planning C: Government and Policy 30 (3): 381–400. https://doi.org/10.1068/c10222.
   Web of Science ®Google Scholar
• Sgarbossa, F., E. H. Grosse, W. P. Neumann, D. Battini, and C. H. Glock. 2020. “Human Factors in Production and Logistics Systems of the Future.” Annual Reviews in Control 49: 295–305. https://doi.org/10.1016/j.arcontrol.2020.04.007.
   Web of Science ®Google Scholar
• Shahbakhsh, M., G. R. Emad, and S. Cahoon. 2022. “Industrial Revolutions and Transition of the Maritime Industry: The Case of Seafarer's Role in Autonomous Shipping.” Asian Journal of Shipping and Logistics 38 (1): 10–18. https://doi.org/10.1016/j.ajsl.2021.11.004.
   Web of Science ®Google Scholar
• Sharma, M., R. Sehrawat, S. Luthra, T. Daim, and D. Bakry. 2022. “Moving Towards Industry 5.0 in the Pharmaceutical Manufacturing Sector: Challenges and Solutions for Germany.” Ieee Transactions on Engineering Management, 1–18. https://doi.org/10.1109/TEM.2022.3143466.
   Web of Science ®Google Scholar
• Shneiderman, B. 2020. “Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy.” International Journal of Human–Computer Interaction 36 (6): 495–504. https://doi.org/10.1080/10447318.2020.1741118.
   Web of Science ®Google Scholar
• Sindhwani, R., S. Afridi, A. Kumar, A. Banaitis, S. Luthra, and P. L. Singh. 2022. “Can Industry 5.0 Revolutionize the Wave of Resilience and Social Value Creation? A Multi-Criteria Framework to Analyze Enablers.” Technology in Society 68. https://doi.org/10.1016/j.techsoc.2022.101887.
   Web of Science ®Google Scholar
• Slayton, R., and G. Spinardi. 2016. “Radical Innovation in Scaling up: Boeing’s Dreamliner and the Challenge of Socio-Technical Transitions.” Technovation 47: 47–58. https://doi.org/10.1016/j.technovation.2015.08.004.
   Web of Science ®Google Scholar
• Smith, A., A. Stirling, and F. Berkhout. 2005. “The Governance of Sustainable Socio-Technical Transitions.” Research Policy 34 (10): 1491–1510. https://doi.org/10.1016/j.respol.2005.07.005.
   Web of Science ®Google Scholar
• Soltysik-Piorunkiewicz, A., and I. Zdonek. 2021. “How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy.” Sustainability 13 (2), https://doi.org/10.3390/su13020917.
   Web of Science ®Google Scholar
• Stahl, B. C., and M. Coeckelbergh. 2016. “Ethics of Healthcare Robotics: Towards Responsible Research and Innovation.” Robotics and Autonomous Systems 86: 152–161. https://doi.org/10.1016/j.robot.2016.08.018.
   Web of Science ®Google Scholar
• Sun, S., X. Zheng, B. Gong, J. García Paredes, and J. Ordieres-Meré. 2020. “Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces.” Sensors 20 (7). https://doi.org/10.3390/s20072011.
   Web of Science ®Google Scholar
• Taj, I., and N. Jhanjhi. 2022. “Towards Industrial Revolution 5.0 and Explainable Artificial Intelligence: Challenges and Opportunities.” International Journal of Computing and Digital Systems 12 (1): 285–310. https://doi.org/10.12785/ijcds/120124.
   Google Scholar
• Tancredi, G. P., L. Tebaldi, E. Bottani, F. Longo, and G. Vignali. 2020. “Analysis and Testing of an Online Solution to Monitor and Solve Safety Issues for Industrial Systems.” Procedia Manufacturing 42: 542–547. https://doi.org/10.1016/j.promfg.2020.02.029.
   Google Scholar
• Taylor, M. P., P. Boxall, J. J. J. Chen, X. Xu, A. Liew, and A. Adeniji. 2020. “Operator 4.0 or Maker 1.0? Exploring the Implications of Industrie 4.0 for Innovation, Safety and Quality of Work in Small Economies and Enterprises.” Computers & Industrial Engineering 139: 105486. https://doi.org/10.1016/j.cie.2018.10.047.
   Web of Science ®Google Scholar
• Thomas, J., and A. Harden. 2008. “Methods for the Thematic Synthesis of Qualitative Research in Systematic Reviews.” BMC Medical Research Methodology 8 (1): 45. https://doi.org/10.1186/1471-2288-8-45.
   PubMed Web of Science ®Google Scholar
• Thomas, C., L. Stankiewicz, A. Grötsch, S. Wischniewski, J. Deuse, and B. Kuhlenkötter. 2016. “Intuitive Work Assistance by Reciprocal Human-Robot Interaction in the Subject Area of Direct Human-Robot Collaboration.” Procedia CIRP 44: 275–280. https://doi.org/10.1016/j.procir.2016.02.098.
   Google Scholar
• Tranfield, D., D. Denyer, and P. Smart. 2003. “Towards a Methodology for Developing Evidence: Informed Management Knowledge by Means of Systematic Review.” British Journal of Management 14: 207–222. https://doi.org/10.1111/1467-8551.00375.
   Web of Science ®Google Scholar
• Umbrello, S., and R. V. Yampolskiy. 2022. “Designing AI for Explainability and Verifiability: A Value Sensitive Design Approach to Avoid Artificial Stupidity in Autonomous Vehicles.” International Journal of Social Robotics 14 (2): 313–322. https://doi.org/10.1007/s12369-021-00790-w.
   Web of Science ®Google Scholar
• Verma, A., P. Bhattacharya, N. Madhani, C. Trivedi, B. Bhushan, S. Tanwar, … R. Sharma. 2022. “Blockchain for Industry 5.0: Vision, Opportunities, Key Enablers, and Future Directions.” Ieee Access 10: 69160–69199. https://doi.org/10.1109/ACCESS.2022.3186892.
   Web of Science ®Google Scholar
• Vijayakumar, V., F. Sgarbossa, W. P. Neumann, and A. Sobhani. 2022. “Framework for Incorporating Human Factors into Production and Logistics Systems.” International Journal of Production Research 60 (2): 402–419. https://doi.org/10.1080/00207543.2021.1983225.
   Web of Science ®Google Scholar
• Villalba-Diez, J., and X. Zheng. 2021. “Quantum Strategic Organizational Design: Alignment in Industry 4.0 Complex-Networked Cyber-Physical Lean Management Systems.” Sensors 20: 20. https://doi.org/10.3390/s20205856.
   Web of Science ®Google Scholar
• Voß, J.-P. 2014. “Performative Policy Studies: Realizing “Transition Management”.” Innovation: The European Journal of Social Science Research 27 (4): 317–343. https://doi.org/10.1080/13511610.2014.967666.
   Web of Science ®Google Scholar
• Wahyuningtyas, R., G. Disastra, and R. Rismayani. 2022. “Toward Cooperative Competitiveness for Community Development in Economic Society 5.0.” Journal of Enterprising Communities: People and Places in the Global Economy, Ahead-of-Print(Ahead-of-Print), https://doi.org/10.1108/JEC-10-2021-0149.
   Google Scholar
• Wanasinghe, T., T. Trinh, T. Nguyen, R. G. Gosine, L. A. James, and P. J. Warrian. 2021. “Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry.” Ieee Access 9: 113270–113291. https://doi.org/10.1109/ACCESS.2021.3103680.
   Web of Science ®Google Scholar
• Wang, L. 2022. “A Futuristic Perspective on Human-Centric Assembly.” Journal of Manufacturing Systems 62: 199–201. https://doi.org/10.1016/j.jmsy.2021.11.001.
   Web of Science ®Google Scholar
• Wang, B., X. Li, T. Freiheit, and B. I. Epureanu. 2020. Learning and Intelligence in Human-Cyber-Physical Systems: Framework and Perspective. Paper presented at the 2020 Second International Conference on Transdisciplinary AI (TransAI), 21-23 Sept. 2020.
   Google Scholar
• Weiss, A., A. Huber, J. Minichberger, and M. Ikeda. 2016. “First Application of Robot Teaching in an Existing Industry 4.0 Environment: Does It Really Work?” Societies 6 (3), https://doi.org/10.3390/soc6030020.
   Google Scholar
• Winkelhaus, S., and E. H. Grosse. 2020. “Logistics 4.0: A Systematic Review Towards a New Logistics System.” International Journal of Production Research 58 (1): 18–43. https://doi.org/10.1080/00207543.2019.1612964.
   Web of Science ®Google Scholar
• Wong, P.-M., and C.-K. Chui. 2022. “Cognitive Engine for Augmented Human Decision-Making in Manufacturing Process Control.” Journal of Manufacturing Systems 65: 115–129. https://doi.org/10.1016/j.jmsy.2022.09.007.
   Web of Science ®Google Scholar
• Xu, X., Y. Lu, B. Vogel-Heuser, and L. Wang. 2021. “Industry 4.0 and Industry 5.0—Inception, Conception and Perception.” Journal of Manufacturing Systems 61: 530–535. https://doi.org/10.1016/j.jmsy.2021.10.006.
   Web of Science ®Google Scholar
• Xu, L. D., E. L. Xu, and L. Li. 2018. “Industry 4.0: State of the Art and Future Trends.” International Journal of Production Research 56 (8): 2941–2962. https://doi.org/10.1080/00207543.2018.1444806.
   Web of Science ®Google Scholar
• Yan, J., and Z. Wang. 2022. “YOLO V3 + VGG16-Based Automatic Operations Monitoring and Analysis in a Manufacturing Workshop Under Industry 4.0.” Journal of Manufacturing Systems 63: 134–142. https://doi.org/10.1016/j.jmsy.2022.02.009.
   Web of Science ®Google Scholar
• Zhang, R., J. Lv, J. Li, J. Bao, P. Zheng, and T. Peng. 2022. “A Graph-Based Reinforcement Learning-Enabled Approach for Adaptive Human-Robot Collaborative Assembly Operations.” Journal of Manufacturing Systems 63: 491–503. https://doi.org/10.1016/j.jmsy.2022.05.006.
   Web of Science ®Google Scholar
• Zheng, T., M. Ardolino, A. Bacchetti, and M. Perona. 2021. “The Applications of Industry 4.0 Technologies in Manufacturing Context: A Systematic Literature Review.” International Journal of Production Research 59 (6): 1922–1954. https://doi.org/10.1080/00207543.2020.1824085.
   Web of Science ®Google Scholar
• Zhou, J., Y. Zhou, B. Wang, and J. Zang. 2019. “Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing.” Engineering 5 (4): 624–636. https://doi.org/10.1016/j.eng.2019.07.015.
   Web of Science ®Google Scholar
• Zhu, Q., S. Huang, G. Wang, S. K. Moghaddam, Y. Lu, and Y. Yan. 2022. “Dynamic Reconfiguration Optimization of Intelligent Manufacturing System with Human-Robot Collaboration Based on Digital Twin.” Journal of Manufacturing Systems 65: 330–338. https://doi.org/10.1016/j.jmsy.2022.09.021.
   Web of Science ®Google Scholar
• Zizic, M. C., M. Mladineo, N. Gjeldum, and L. Celent. 2022. “From Industry 4.0 Towards Industry 5.0: A Review and Analysis of Paradigm Shift for the People, Organization and Technology.” Energies 15 (14): 1–20. https://doi.org/10.3390/en15145221.
   Web of Science ®Google Scholar
• Zolotová, I., P. Papcun, E. Kajáti, M. Miškuf, and J. Mocnej. 2020. “Smart and Cognitive Solutions for Operator 4.0: Laboratory H-CPPS Case Studies.” Computers & Industrial Engineering 139: 105471. https://doi.org/10.1016/j.cie.2018.10.032.
   Web of Science ®Google Scholar