IJBTT

Literature Review on the Use of Emerging Technologies for Industrial Process Automation: Analysis of Developments from 2020 to 2024

Literature Review on the Use of Emerging Technologies for Industrial Process Automation: Analysis of Developments from 2020 to 2024
	© 2025 by IJETT Journal
	Volume-73 Issue-6
	Year of Publication : 2025
	Author : Amir Aviel Godiño Espinoza, Catherine Valentina España Carazas, Fernando Sierra-Liñan
	DOI : 10.14445/22315381/IJETT-V73I6P134

How to Cite?
Amir Aviel Godiño Espinoza, Catherine Valentina España Carazas, Fernando Sierra-Liñan, "Literature Review on the Use of Emerging Technologies for Industrial Process Automation: Analysis of Developments from 2020 to 2024," International Journal of Engineering Trends and Technology, vol. 73, no. 6, pp.428-438, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I6P134

Abstract
The manuscript aims to analyze how advances in emerging technologies can improve efficiency in industrial process automation through a systematized collection of manuscripts between 2020 and 2024. The PRISMA methodology was used for the review, initially collecting 2509 manuscripts, leaving 73 important manuscripts published and indexed in EBSCO Host (38), ProQuest (24), ScienceDirect (4), and Scopus (7). The scientific evidence shows that emerging technologies allow solving problems in business processes through automation, identifying operational inefficiency and unproductivity: consumption of resources, time, money, effort, and materials (47%) and human errors (18%). Likewise, the sectors that benefit most from the implementation of automation technologies are “Manufacturing industry, industrial processes” (17%) and “Services and customer relationship management” (11%). In addition, among the new automation technologies, according to the studies, Artificial Intelligence (28%) stands out as the most used due to its effectiveness in various fields, followed by robotics (18%). The results of this manuscript demonstrate implications in the practical context, contributing to the body of knowledge on the use of emerging technologies such as AI, IoT and RPA in the efficiency and transformation of business processes. These findings broaden the understanding of how these technologies replace repetitive tasks and enable process redesign under new strategic and adaptive approaches. These findings show that producing scientific articles on emerging technologies in industrial process automation has experienced significant growth, demonstrating the enormous scientific effort made in recent years.

Keywords
Automation, Enterprise, Artificial Intelligence, Business, Technologies, Cloud computing, Computer vision.

References
[1] V. Mahalakshmi et al., “The Role of implementing Artificial Intelligence and Machine Learning Technologies in the Financial Services Industry for Creating Competitive Intelligence,” Materialstoday: Proceedings, vol. 56, pp. 2252-2255, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Andrés González, “Importance of Technology Implementation for Business Continuity, An Analysis of the Literature, 2021,” Veritas Journal of Scientific Dissemination, vol. 3, no. 1, pp. 16-32, 2021.
[Google Scholar] [Publisher Link]
[3] Rosa Nathaly Lay-De-León, Ana Julia Acevedo-Urquiaga, and José Antonio Acevedo-Suárez, “Guide to Implementing a Continuous Improvement Strategy,” Industrial Engineering, vol. 43, no. 3, pp. 1-16, 2022.
[Google Scholar] [Publisher Link]
[4] M.C. Bernal-Jiménez, and D.L. Rodríguez-Ibarra, “Information and Communication Technologies as a Factor of Innovation and Business Competitiveness,” Science and Technology, vol. 24, no. 1, pp. 85-96, 2019.
[Google Scholar] [Publisher Link]
[5] Lucía Fernanda Begnini Domínguez, Ana Clara Lecaro Lavayen, and Jose Daniel Shauri Romero, “Advantages of Process Management Automation,” Polo Publishing House, vol. 7, no. 7, pp. 984-996, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Ramon Montes et al., “Review Article on the Landscape of Digital Transformation and Opportunities for Improvement in Companies in the Productive Sector in the Metropolitan Area of Cúcuta,” Unilibre Institutional Repository, 2023.
[Google Scholar] [Publisher Link]
[7] Iqbal H. Sarker, “AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems,” SN Computer Science, vol. 3, no. 2, pp. 1-20, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[8] J.E. (Hans). Korteling et al., “Human-versus Artificial Intelligence,” Frontiers in Artificial Intelligence, vol. 4, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Ramiro Rodrigues Sumar, “Accounting Automation and the Future of the Accounting Profession,” Multidisciplinary Scientific Journal Núcleo do Conhecimento, vol. 17, no. 6, pp. 167-181, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Karla Rebeca Acosta Aguinaga, “Artificial Intelligence (AI) and Customer Experience Since 2016: A Literature Review,” Journal of Science and Arts, vol. 2, no. 1, pp. 1-17, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Patricio Medina-Chicaiza, and Andrés Giovanni Martínez-Ortega, “Artificial Intelligence Technologies for Marketing: A Literature Review,” Pro Sciences: Journal of Production, Science and Research, vol. 4, no. 30, pp. 36-47, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Adam Uzialko, How Artificial Intelligence Will Transform Businesses, Business News Daily, 2024. [Online]. Available: https://www.businessnewsdaily.com/9402-artificial-intelligence-business-trends.html
[13] Prisma Statement, PRISMA 2020 Statement Paper, Prisma, 2020. [Online]. Available: https://www.prisma-statement.org/prisma-2020-statement
[14] Sandra Edith Miguel, and Claudia Marcela González, Bibliometrics in Science and Technology Policy and Management, National University of La Plata, Faculty of Humanities and Education Sciences, pp. 62-75, 2023.
[Google Scholar] [Publisher Link]
[15] Humberto Arruda et al., “VOSviewer and Bibliometrix,” Journal of the Medical Library Association: JMLA, vol. 110, no. 3, pp. 392-395, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Justiniano Felix Palomino Quispe et al., “Quantitative Evaluation of the Impact of Artificial Intelligence on the Automation of Processes,” Data Metadata, vol. 2, pp. 1-6, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Fernando van der Vlist, Anne Helmond, and Fabian Ferrari, “Big AI: Cloud Infrastructure Dependence and the Industrialisation of Artificial Intelligence,” Big Data & Society, vol. 11, no. 1, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Torana Kamble et al., “Predictive Resource Allocation Strategies for Cloud Computing Environments Using Machine Learning,” Journal of Electrical Systems, vol. 19, no. 2, pp. 68-77, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Heru Susanto, Aida Sari, and Fang-Yie Leu, “Innovative Business Process Reengineering Adoption: Framework of Big Data Sentiment, Improving Customers’ Service Level Agreement,” Big Data Cognitive Computing, vol. 6, no. 4, pp. 1-21, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Wenyan Wang, and Jie Guo, “Based on Data Mining and Big Data Intelligent System in Enterprise Cost Accounting Optimization Application,” Scientific Programming, vol. 2022, pp. 1-11, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Niels Hackius, and Moritz Petersen, “Translating High Hopes into Tangible Benefits: How Incumbents in Supply Chain and Logistics Approach Blockchain,” IEEE Access, vol. 8, pp. 34993-35003, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Ying Guo, “Design of Financial Management Talent Training Model under Demand Coupling Mechanism and IoT Applications,” Wireless Communications and Mobile Computing, vol. 2022, pp. 1-10, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Carlos Arturo Bermúdez Irreño, “RPA - Robotic Process Automation: A Literature Review,” Engineering, Mathematics and Information Sciences Journal, vol. 8, no. 15, pp. 111-122, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Alberto de Medeiros Jr et al., “The Impacts of Artificial Intelligence on Marketing Strategies,” Refas - Fatec Zona Sul Magazine, vol. 9, no. 1, pp. 1-24, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Johana Lorduy, “Adopting Innovation, Among the Priorities of Companies: According to a Study, Companies will seek to Incorporate more Technology into their Processes,” Portfolio, 2024, [Online]. https://www.portafolio.co/negocios/empresas/dos-de-cada-tres-lideres-planean-implementar-tecnologias-innovadoras-597998
[26] Claire Price, “How to Improve Cybersecurity,” Control Engineering, vol. 68, no. 11, pp. 71-72, 2021.
[Google Scholar]
[27] Mário Romao, Joao Costa, and Carlos J. Costa, “Robotic Process Automation: A Case Study in the Banking Industry,” 2019 14th Iberian Conference on Information Systems and Technologies (CISTI), Coimbra, Portugal, pp. 1-6, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Tawseef Ayoub Shaikh et al., “Machine Learning for Smart Agriculture and Precision Farming: Towards Making the Fields Talk,” Archives of Computational Methods in Engineering, vol. 29, no. 7, pp. 4557-4597, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Laith Alzubaidi et al., “Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements,” International Journal of Intelligent Systems, vol. 2023, pp. 1-41, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[30] João Pinto, Maria Borrego, and Rodrigo Cardoso, “Artificial Intelligence as a Booster of a Business Intelligence System to help the Recruitment Process: Business Intelligence, Human Resources and Talent,” 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), Aveiro, Portugal, pp. 1-7, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Abderahman Rejeb, Karim Rejeb, and John G. Keogh, “Enablers of Augmented Reality in the Food Supply Chain: A Systematic Literature Review,” Journal of Foodservice Business Research, vol. 24, no. 4, pp. 415-444, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Oya Eru, Yusuf Volkan Topuz, and Ruziye Cop, “The Effect of Augmented Reality Experience on Loyalty and Purchasing Intent: An Application on the Retail Sector,” Socioeconomics, vol. 30, no. 52, pp. 129-155, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Omar Alexis Larios Soldevilla, and Cristhian Junior Atoche Socola, “Robotic Process Automation and its Relationship with the Operational Efficiency of Accounting Processes in Telecommunications and Banking Companies in Argentina, Chile, Colombia, and Peru in 2021,” Accounting and Business, vol. 18, no. 35, pp. 67-95, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Pilar Sánchez-García et al., “Spanish Technological Development of Artificial Intelligence Applied to Journalism: Companies and Tools for Documentation, Production and Distribution of Information,” Information professional, vol. 32, no. 2, pp. 1-18, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[35] John Alexander Arias Torres et al., “Blockchain Applied to Process Innovation for the Integration of Financial Technology Services,” Virtual Magazine of the Catholic University of the North, no. 69, pp. 135-156, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Pouria Rostami Cheri et al., “Investigating the Effects of Information and Communication Technology (ICT) on Capital Market Uncertainty by Considering its Impact on the Textile Industry: A Case Study for Iran,” Textile Industry, vol. 74, no. 6, pp. 667-687, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Adrian von Maltitz, and Elma van der Lingen, “Business Model Framework for Education Technology Entrepreneurs in South Africa,” The Southern African Journal of Entrepreneurship and Small Business Management, vol. 14, no. 1, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[38] ABB Engineered to Outrun, ABB to expand Robotics factory in US, Group press release, Zurich, Switzerland 2023. [Online]. Available: https://new.abb.com/news/detail/100845/abb-to-expand-robotics-factory-in-us
[39] Maikel Emilio Ramírez-Cáceres, and Aymeé Cudeiro-Cano, “Development of Technologies in the Management of Human Capital Processes,” Sciences Holguin, vol. 28, no. 3, pp. 9-20, 2022.
[Google Scholar] [Publisher Link]
[40] Sergio Andrés Martínez Jiménez, “Challenges of the Colombian financial system in the Fourth Industrial Revolution,” Economic Semester, vol. 24, no. 56, pp. 253-271, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[41] L. Easterly, Pierce Properties Propels College View Project: REAL ESTATE: $65.5M Student Housing Aims, 2024. [Online]. Avaliable: https://www.sdbj.com/real-estate/pierce-properties-propels-college-view-project/
[42] Bernhard Axmann, Harmoko Harmoko, and Rahul Malhotra, “The Assessment of Robotic Process Automation Projects with a Portfolio Analysis: First Step - Evaluation Criteria Identification and Introduction of the Portfolio Concept,” Original scientific article, vol. 17, no. 2, pp. 207-214, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Logan Kugler, “Addressing Labor Shortages with Automation,” Communications of the ACM, vol. 65, no. 6, pp. 21-23, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[44] Yiting Zhu, “Off-Topic Detection of Business English Essay Based on Deep Learning Model,” Mobile Information Systems, vol. 2021, pp. 1-9, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[45] Jingxiao Hu, “Analysis of Enterprise Financial and Economic Impact Based on Background Deep Learning Model under Business Administration,” Scientific Programming, vol. 2021, pp. 1-13, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Marco Ferretti et al., “Deep Learning Forecasting for Supporting Terminal Operators in Port Business Development,” Future Internet, vol. 14, no. 8, pp. 1-20, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[47] Hongjiang Shang et al., “Analysis and Application of Enterprise Performance Evaluation of Cross-Border E-Commerce Enterprises Based on Deep Learning Model,” Mobile Information Systems, vol. 2022, pp. 1-11, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[48] Hongshen Yu, “Research on Fresh Product Logistics Transportation Scheduling Based on Deep Reinforcement Learning,” Scientific Programming, vol. 2022, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[49] Junnan Yi, “Deep Learning in Data Mining Management of Industrial and Commercial Enterprises,” Mobile Information Systems, vol. 2022, pp. 1-6, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[50] Nianli Xu, and Fengying Liu, “Application of Image Content Feature Retrieval Based on Deep Learning in Sports Public Industry,” Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, vol. 39, no. 2, pp. 1867-1877, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[51] Vo Truong Nhu Ngoc et al., “VNU-Diagnosis: A Novel Medical System Based on Deep Learning for Diagnosis of Periapical Inflammation from X-Rays Images,” Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, vol. 43, no. 1, pp. 1417-1427, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[52] Qindong Sun et al., “Deep Learning Based Customer Preferences Analysis in Industry 4.0 Environment,” Mobile Networks and Applications, vol. 26, no. 6, pp. 2329-2340, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[53] Zhen Zhen, and Yanqing Yao, “Optimizing Deep Learning and Neural Network to Explore Enterprise Technology Innovation Model,” Neural Computing and Applications, vol. 33, no. 2, pp. 755-771, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[54] Christian Zabel, and Verena Telkmann, “The Adoption of Emerging Technology-Driven Media Innovations. A Comparative Study of the Introduction of Virtual and Augmented Reality in the Media and Manufacturing Industries,” Journal of Media Business Studies, vol. 18, no. 4, pp. 235-266, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[55] Abderahman Rejeb et al., “Potentials and Challenges of Augmented Reality Smart Glasses in Logistics and Supply Chain Management: A Systematic Literature Review,” International Journal of Production Research, vol. 59, no. 12, pp. 3747-3776, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[56] Dario Placencio-Hidalgo et al., “Augmented Reality for Virtual Training in the Construction Industry,” WORK: A Journal of Prevention, Assessment & Rehabilitation, vol. 71, no. 1, pp. 165-175, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[57] G. Koni, and K.B. Ashwini, “Augmented Reality Marketing: Must-have Tool to Stay in Business,” GRENZE International Journal of Engineering and Technology, vol. 9, no. 1, pp. 23-28, 2023.
[Google Scholar] [Publisher Link]
[58] Ivan Jajic et al., “Augmented Reality in Business and Economics: Bibliometric and Topics Analysis,” Interdisciplinary Description of Complex Systems: INDECS, vol. 20, no. 6, pp. 723-744, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[59] Tim Hilken et al., “Seeing Eye to Eye: Social Augmented Reality and Shared Decision Making in the Marketplace,” Journal of the Academy of Marketing Science, vol. 48, no. 2, pp. 143-164, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[60] Ioana Simona Ivasciuc, “Augmented Reality and Facial Recognition Technologies. Building Bridges Between the Hospitality Industry and Tourists During Pandemic,” Bulletin of the Transilvania University of Brasov. Series V: Economic Sciences, vol. 13(62), no. 2, pp. 75-92, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[61] Pérez Laencina et al., “A Commercial AI Tool Untrained for COVID-19 Demonstrates Slight Improvement in the Interpretation of COVID-19 Pneumonia X-Rays, Especially Among Inexperienced Readers,” Radiology, vol. 67, no. 3, pp. 273-286, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[62] Miguel Gomes, and Isabel Seruca, “The Perception of the Management and Lower-Level Employees of the Impacts of Using Robotic Process Automation: The Case of a Shared Services Company,” Procedia Computer Science, vol. 219, pp. 129-138, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[63] Pietro Mascagni et al., “Applications of Artificial Intelligence in Surgery: Clinical, Technical, and Governance Considerations,” Spanish Surgery, vol. 102, pp. S66-S71, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[64] Morteza Ghobakhloo et al., “Intelligent Automation Implementation and Corporate Sustainability Performance: The Enabling Role of Corporate Social Responsibility Strategy,” Technology in Society, vol. 74, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[65] Daniel Adanza Dopazo, Lamine Mahdjoubi, and Bill Gething, “A Method to Enable Automatic Extraction of Cost and Quantity Data from Hierarchical Construction Information Documents to Enable Rapid Digital Comparison and Analysis,” Buildings, vol. 13, no. 9, pp. 1-11, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[66] Tamíris Pacheco da Costa et al., “A Systematic Review of Real-Time Monitoring Technologies and Its Potential Application to Reduce Food Loss and Waste: Key Elements of Food Supply Chains and IoT Technologies,” Sustainability, vol. 15, no. 1, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[67] Can Kaymakci et al., “A Systematic Selection Process of Machine Learning Cloud Services for Manufacturing SMEs,” Computers, vol. 11, no. 1, pp. 1-19, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[68] Amaya Noain-Sánchez, “Addressing the Impact of Artificial Intelligence on Journalism: The Perception of Experts, Journalists and Academics,” Communication & Society, vol. 35, no. 3, pp. 105-121, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[69] Célia Tavares et al., “Artificial Intelligence: A Blessing or a Threat for Language Service Providers in Portugal,” Informatics, vol. 10, no. 4, pp. 1-21, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[70] Pall Rikhardsson et al., “Artificial Intelligence and Auditing in Small‐and Medium‐Sized Firms: Expectations and Applications,” AI Magazine, vol. 43, no. 3, pp. 323-336, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[71] Cristina Gallego-Gomez, and Carmen De-Pablos-Heredero, “Artificial Intelligence as an Enabling Tool for the Development of Dynamic Capabilities in the Banking Industry,” International Journal of Enterprise Information Systems (IJEIS), vol. 16, no. 3, pp. 20-33, 2020.
[Google Scholar]
[72] Joao Canavilhas, “Artificial Intelligence in Journalism: Automatic Translation and Recommendation System in the Project ‘A European Perspective’ (EBU),” Latin American Journal of Communication, vol. 80, pp. 1-13, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[73] Łukasz Ledziński, and Grzegorz Grześk, “Artificial Intelligence Technologies in Cardiology,” Journal of Cardiovascular Development and Disease, vol. 10, no. 5, pp. 1-22, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[74] Marta Brzozowska et al., “Artificial-Intelligence-Powered Customer Service Management in the Logistics Industry,” Entrepreneurial Business and Economics Review (EBER), vol. 11, no. 4, pp. 109-121, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[75] Xavi Masip-Bruin et al., “Cybersecurity in ICT Supply Chains: Key Challenges and a Relevant Architecture,” Sensors, vol. 21, no. 18, pp. 1-24, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[76] Emilio García Rodríguez et al., “The use of Intelligent Systems (AI) in the Registration of Industrial Property,” Intangible Property Journal, vol. 30, pp. 295-326, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[77] Jose M. Barrera et al., “Fault Detection and Diagnosis for Industrial Processes Based on Clustering and Autoencoders: A Case of Gas Turbines,” International Journal of Machine Learning and Cybernetics, vol. 13, no. 10, pp. 3113-3129, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[78] José-Miguel Túñez-López, César Fieiras-Ceide, and Martín Vaz-Álvarez, “Impact of Artificial Intelligence on Journalism: Transformations in the Company, Products, Contents and Professional Profile,” Communication & Society, vol. 34, no. 1, pp. 177-193, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[79] Apoorva Sharma, Jaswinder Kaur, and Inderbir Singh, “Internet of Things (IoT) in Pharmaceutical Manufacturing, Warehousing, and Supply Chain Management,” SN Computer Science, vol. 1, no. 4, pp. 1-10, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[80] Carlos A. Hernández-Gutiérrez et al., “IoT-Enabled System for Detection, Monitoring, and Tracking of Nuclear Materials,” Electronics, vol. 12, no. 14, pp. 1-13, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[81] Emanuela Pop et al., “New Product Development of a Robotic Soldering Cell Using Lean Manufacturing Methodology,” Sustainability, vol. 14, no. 21, pp. 1-32, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[82] Kristian Micko, Peter Papcun, and Iveta Zolotova, “Review of IoT Sensor Systems Used for Monitoring the Road Infrastructure,” Sensors, vol. 23, no. 9, pp. 1-26, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[83] Juntae Kim et al., “Robot Technology for Pork and Beef Meat Slaughtering Process: A Review,” Animals, vol. 13, no. 4, pp. 1-21, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[84] Ramona Lacurezeanu, Adriana Tiron-Tudor, and Vasile Paul Bresfelean, “Robotic Process Automation in Audit and Accounting,” Audit Financiar, vol. 18, no. 4, pp. 752-770, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[85] Juan Contreras-Castillo et al., “SAgric-IoT: An IoT-Based Platform and Deep Learning for Greenhouse Monitoring,” Applied Sciences, vol. 13, no. 3, pp. 1-21, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[86] Carlos Flores-Vázquez et al., “Technical Development of the CeCi Social Robot,” Sensors, vol. 22, no. 19, pp. 1-20, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[87] Patrik Richnak et al., “The Role of Intelligent Technologies in Construction Companies in Slovakia,” 109th International Scientific Conference on Economic and Social Development - “Green Economy & Sustainable Development” - Cakovec, pp. 195-203, 2024.
[Google Scholar]
[88] Ramakrishnan Ramanathan et al., “Using IoT Sensor Technologies to Reduce Waste and Improve Sustainability in Artisanal Fish Farming in Southern Brazil,” Sustainability, vol. 15, no. 3, pp. 1-14, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[89] Kaitosalmi Jani, Ratia Milla, and Torkki Paulus, “From Manual to Automated: A Multi-Case Study of Utilizing Robotic Process Automation and Intelligent Automation in Healthcare Operational Processes,” Proceedings of the 58th Hawaii International Conference on System Sciences, pp. 3300-3309, 2025.
[CrossRef] [Google Scholar] [Publisher Link]