Most cited papers in Economic and Technological Systems Analysis
What are the most cited papers in Economic and Technological Systems Analysis?
The most cited paper in Economic and Technological Systems Analysis is "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy" (Yogesh Kumar Dwivedi et al., 2019), with 4,479 citations. Next come "A Complex View of Industry 4.0" (924) and "Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet" (920).
Showing 50 of 101 papers. Every paper with more than 144 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy Yogesh Kumar Dwivedi et al. · International Journal of Information Management | 27 Aug 2019 | 4,479 |
| 2 | A Complex View of Industry 4.0 Vasja Roblek, Maja Meško, Alojz Krapež · SAGE Open | Apr 2016 | 924 |
| 3 | Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet María E. Mondéjar, Ram Avtar, Heyker Lellanis Baños Díaz et al. · The Science of The Total Environment | 19 Jun 2021 | 920 |
| 4 | STATE OF ART SURVEYS OF OVERVIEWS ON MCDM/MADM METHODS Edmundas Kazimieras Zavadskas, Zenonas Turskis, Simona Kildienė · Technological and Economic Development of Economy | 26 Mar 2014 | 916 |
| 5 | Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review Violeta Sima, Ileana Georgiana Gheorghe, J. Subić et al. · Sustainability | 14 May 2020 | 785 |
| 6 | The Role and Impact of Industry 4.0 and the Internet of Things on the Business Strategy of the Value Chain—The Case of Hungary Judit M. Nagy, Judit Oláh, Edina Erdei et al. · Sustainability | 29 Sep 2018 | 716 |
| 7 | Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model Michael Sony, Subhash S. Naik · Technology in Society | 7 Apr 2020 | 639 |
| 8 | The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities M. Mazhar Rathore, Syed Attique Shah, Dhirendra Shukla et al. · IEEE Access | 2021 | 608 |
| 9 | Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics Shahriar Akter, Katina Michael, Muhammad Rajib Uddin et al. · Annals of Operations Research | 4 May 2020 | 589 |
| 10 | Internet of Things, Big Data, Industry 4.0 – Innovative Solutions in Logistics and Supply Chains Management Krzysztof Witkowski · Procedia Engineering | 2017 | 571 |
| 11 | Smart manufacturing: Characteristics, technologies and enabling factors Sameer Mittal, Muztoba Ahmad Khan, David Romero et al. · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture | 26 Oct 2017 | 563 |
| 12 | Role of Digital Transformation for Achieving Sustainability: Mediated Role of Stakeholders, Key Capabilities, and Technology Rafael Martínez-Peláez, Alberto M. Ochoa-Brust, Solange Ivette Rivera Manrique et al. · Sustainability | 19 Jul 2023 | 549 |
| 13 | Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain Alexandre B. Dolgui, Dmitry Ivanov, Semyon Potryasaev et al. · International Journal of Production Research | 12 Jun 2019 | 545 |
| 14 | Unveiling the impact of the adoption of digital technologies on firms’ innovation performance Antonio Usai, Fabio Fiano, Antonio Messeni Petruzzelli et al. · Journal of Business Research | 18 May 2021 | 543 |
| 15 | Digital transformation and the new logics of business process management Abayomi Baiyere, Hannu Salmela, Tommi Tapanainen · European Journal of Information Systems | Mar 2020 | 527 |
| 16 | A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions Shan Zhi Ren, Yingfeng Zhang, Yang Liu et al. · Journal of Cleaner Production | 7 Nov 2018 | 524 |
| 17 | Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice Deepak Arunachalam, Niraj Kumar, John Paul Kawalek · Transportation Research Part E Logistics and Transportation Review | 15 May 2017 | 510 |
| 18 | Role of big data analytics in developing sustainable capabilities Sanjay Kumar Singh, Abdul-Nasser El-Kassar · Journal of Cleaner Production | 27 Dec 2018 | 481 |
| 19 | Cyber-physical systems and their security issues Rasim Mahammad Alguliyev, Yadigar İmamverdiyev, Lyudmila V. Sukhostat · Computers in Industry | 14 May 2018 | 471 |
| 20 | Probabilistic values for games Robert James Weber · Cambridge University Press eBooks | 28 Oct 1988 | 462 |
| 21 | City Digital Twin Potentials: A Review and Research Agenda Ehab Shahat, Chang Taek Hyun, Chunho Yeom · Sustainability | 18 Mar 2021 | 460 |
| 22 | Industry 4.0: A Solution towards Technology Challenges of Sustainable Business Performance Muhammad Haseeb, Hafezali Iqbal Hussain, Beata Ślusarczyk et al. · Social Sciences | 16 May 2019 | 458 |
| 23 | Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector Piotr F. Borowski · Energies | 29 Mar 2021 | 445 |
| 24 | Digital transformation as a springboard for product, process and business model innovation Stefano Bresciani, Kun‐Huang Huarng, Arvind Malhotra et al. · Journal of Business Research | 21 Feb 2021 | 430 |
| 25 | Corporate transformation toward Industry 4.0 and financial performance: The influence of environmental, social, and governance (ESG) Fadi Alkaraan, Khaldoon Albitar, Khaled Hussainey et al. · Technological Forecasting and Social Change | 7 Dec 2021 | 422 |
| 26 | R&D WORK CLIMATE AND INNOVATION IN SEMICONDUCTORS. Anate Benoit Nicaise Abbey, John W. Dickson · Academy of Management Journal | Jun 1983 | 401 |
| 27 | Industry 4.0 – An Introduction in the phenomenon František Zezulka, Petr Marcoň, I. Veselý et al. · IFAC-PapersOnLine | 2016 | 368 |
| 28 | The outlook of blockchain technology for construction engineering management Jun Wang, Peng Wu, Xiangyu Wang et al. · Frontiers of Engineering Management | 2017 | 366 |
| 29 | Evaluating the factors that influence blockchain adoption in the freight logistics industry Ifeyinwa Juliet Orji, Simonov Kusi‐Sarpong, Shuangfa Huang et al. · Transportation Research Part E Logistics and Transportation Review | 18 Jul 2020 | 363 |
| 30 | A method for group decision-making based on determining weights of decision makers using TOPSIS Zhongliang Yue · Applied Mathematical Modelling | 18 Nov 2010 | 360 |
| 31 | The Impact of Digitalization on the Insurance Value Chain and the Insurability of Risks Martin Eling, Martin Lehmann · The Geneva Papers on Risk and Insurance Issues and Practice | 6 Dec 2017 | 356 |
| 32 | Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: a data driven analysis Ming‐Lang Tseng, Thi Phuong Thuy Tran, Hiền Minh Hà et al. · Journal of Industrial and Production Engineering | 11 Jul 2021 | 343 |
| 33 | Manufacturing big data ecosystem: A systematic literature review Yesheng Cui, Sami Kara, Ka Ching Chan · Robotics and Computer-Integrated Manufacturing | 8 Oct 2019 | 335 |
| 34 | Specific character of objective methods for determining weights of criteria in MCDM problems: Entropy, CRITIC and SD Irik Z. Mukhametzyanov · Decision Making Applications in Management and Engineering | 11 Jun 2021 | 331 |
| 35 | Methods for quantifying the uncertainty of production forecasts: a comparative study Frans J. T. Floris, Max Bush, M. Cuypers et al. · Petroleum Geoscience | Mar 2001 | 329 |
| 36 | Digital construction: From point solutions to IoT ecosystem Roy Woodhead, Paul Stephenson, Denise Morrey · Automation in Construction | 15 May 2018 | 312 |
| 37 | Determinants of information and digital technology implementation for smart manufacturing Morteza Ghobakhloo · International Journal of Production Research | 25 Jun 2019 | 307 |
| 38 | An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System Behrang Ashtari Talkhestani, Tobias Jung, B. Lindemann et al. · at - Automatisierungstechnik | Sep 2019 | 302 |
| 39 | Artificial Intelligence for Detection, Estimation, and Compensation of Malicious Attacks in Nonlinear Cyber-Physical Systems and Industrial IoT Faezeh Farivar, Mohammad Sayad Haghighi, Alireza Jolfaei et al. · IEEE Transactions on Industrial Informatics | 28 Nov 2019 | 296 |
| 40 | Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review Simon Elias Bibri, Alexandre Alahi, Ayyoob Sharifi et al. · Energy Informatics | 5 Apr 2023 | 294 |
| 41 | Human resource information systems: Backbone technology of contemporary human resources Anthony R. Hendrickson · Journal of Labor Research | Sep 2003 | 293 |
| 42 | AI-Driven Intelligent Data Analytics and Predictive Analysis in Industry 4.0: Transforming Knowledge, Innovation, and Efficiency Zhijuan Zong, Yu Guan · Journal of the Knowledge Economy | 8 May 2024 | 291 |
| 43 | Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges Ravil I. Mukhamediev, Yelena Popova, Yan Kuchin et al. · Mathematics | 22 Jul 2022 | 291 |
| 44 | Digital transformation in the maritime transport sector Edvard Tijan, Marija Jović, Saša Aksentijević et al. · Technological Forecasting and Social Change | 25 May 2021 | 290 |
| 45 | Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values Morteza Ghobakhloo, Mohammad Iranmanesh, Ming‐Lang Tseng et al. · Journal of Industrial and Production Engineering | 27 May 2023 | 284 |
| 46 | Technological forecasting for decisionmaking Harold A. Linstone · Technological Forecasting and Social Change | 1973 | 276 |
| 47 | Risk identification – basic stage in risk management Lubka Tchankova · Environmental Management and Health | Aug 2002 | 273 |
| 48 | Understanding the impact of business analytics on innovation Yanqing Duan, Guangming Cao, John Steven Edwards · European Journal of Operational Research | 20 Jun 2018 | 269 |
| 49 | Aspects of Risk Management Implementation for Industry 4.0 Jiří Tupa, Jan Šimota, František Steiner · Procedia Manufacturing | 2017 | 266 |
| 50 | A Review of Urban Digital Twins Integration, Challenges, and Future Directions in Smart City Development Silvia Mazzetto · Sustainability | 25 Sep 2024 | 250 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.