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Industry 4.0: A Korea perspective

Citations

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  1. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  2. Oliva, Fábio Lotti & Teberga, Pedro Marins Freire & Testi, Lucas Israel Oliveira & Kotabe, Masaaki & Giudice, Manlio Del & Kelle, Peter & Cunha, Miguel Pina, 2022. "Risks and critical success factors in the internationalization of born global startups of industry 4.0: A social, environmental, economic, and institutional analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  3. Cowden, Birton & Tang, Jintong, 2022. "Institutional entrepreneurial orientation: Beyond setting the rules of the game for blockchain technology," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  4. Pedota, Mattia & Grilli, Luca & Piscitello, Lucia, 2023. "Technology adoption and upskilling in the wake of Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
  5. Tortorella, Guilherme Luz & Saurin, Tarcísio Abreu & Filho, Moacir Godinho & Samson, Daniel & Kumar, Maneesh, 2021. "Bundles of Lean Automation practices and principles and their impact on operational performance," International Journal of Production Economics, Elsevier, vol. 235(C).
  6. Cugno, Monica & Castagnoli, Rebecca & Büchi, Giacomo, 2021. "Openness to Industry 4.0 and performance: The impact of barriers and incentives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  7. Mujahid Ghouri, Arsalan & Mani, Venkatesh & Jiao, Zhilun & Venkatesh, V.G. & Shi, Yangyan & Kamble, Sachin S., 2021. "An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  8. Cannavacciuolo, Lorella & Ferraro, Giovanna & Ponsiglione, Cristina & Primario, Simonetta & Quinto, Ivana, 2023. "Technological innovation-enabling industry 4.0 paradigm: A systematic literature review," Technovation, Elsevier, vol. 124(C).
  9. Prodi, Elena & Tassinari, Mattia & Ferrannini, Andrea & Rubini, Lauretta, 2022. "Industry 4.0 policy from a sociotechnical perspective: The case of German competence centres," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  10. Memon, Khalid Rasheed & Ooi, Say Keat, 2023. "Identifying digital leadership's role in fostering competitive advantage through responsible innovation: A SEM-Neural Network approach," Technology in Society, Elsevier, vol. 75(C).
  11. Garg, Poonam & Gupta, Bhumika & Chauhan, Ajay Kumar & Sivarajah, Uthayasankar & Gupta, Shivam & Modgil, Sachin, 2021. "Measuring the perceived benefits of implementing blockchain technology in the banking sector," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  12. Mubarak, Muhammad Faraz & Petraite, Monika, 2020. "Industry 4.0 technologies, digital trust and technological orientation: What matters in open innovation?," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  13. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  14. Ghouri, Arsalan Mujahid & Mani, Venkatesh & Haq, Mirza Amin ul & Kamble, Sachin S., 2022. "The micro foundations of social media use: Artificial intelligence integrated routine model," Journal of Business Research, Elsevier, vol. 144(C), pages 80-92.
  15. Eum, Wonsub & Lee, Jeong-Dong, 2022. "The co-evolution of production and technological capabilities during industrial development," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 454-469.
  16. Horváth, Dóra & Szabó, Roland Zs., 2019. "Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities?," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 119-132.
  17. Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  18. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  19. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
  20. Ghadimi, Pezhman & Donnelly, Oisin & Sar, Kubra & Wang, Chao & Azadnia, Amir Hossein, 2022. "The successful implementation of industry 4.0 in manufacturing: An analysis and prioritization of risks in Irish industry," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  21. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
  22. Rossi, Federica & Caloffi, Annalisa & Colovic, Ana & Russo, Margherita, 2022. "New business models for public innovation intermediaries supporting emerging innovation systems: The case of the Internet of Things," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  23. Laubengaier, Désirée A. & Cagliano, Raffaella & Canterino, Filomena, 2022. "It Takes Two to Tango: Analyzing the Relationship between Technological and Administrative Process Innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  24. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  25. Mao, Caixia & Koide, Ryu & Brem, Alexander & Akenji, Lewis, 2020. "Technology foresight for social good: Social implications of technological innovation by 2050 from a Global Expert Survey," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
  26. Bilgen, Hakki, 2021. "A global comparison methodology to determine critical requirements for achieving industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  27. Bag, Surajit & Gupta, Shivam & Kumar, Sameer, 2021. "Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development," International Journal of Production Economics, Elsevier, vol. 231(C).
  28. Frank, Alejandro G. & Mendes, Glauco H.S. & Ayala, Néstor F. & Ghezzi, Antonio, 2019. "Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 341-351.
  29. Song, Bomi & Suh, Yongyoon, 2019. "Identifying convergence fields and technologies for industrial safety: LDA-based network analysis," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 115-126.
  30. Mastrocinque, Ernesto & Ramírez, F. Javier & Honrubia-Escribano, Andrés & Pham, Duc T., 2022. "Industry 4.0 enabling sustainable supply chain development in the renewable energy sector: A multi-criteria intelligent approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  31. Kumar, Mukesh & Tsolakis, Naoum & Agarwal, Anshul & Srai, Jagjit Singh, 2020. "Developing distributed manufacturing strategies from the perspective of a product-process matrix," International Journal of Production Economics, Elsevier, vol. 219(C), pages 1-17.
  32. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
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