Subject Areas : IT Strategy
mehdi Azadimotlagh
1
,
reza sharafdini
2
,
Zahra Salimi
3
,
Melika khosravi
4
,
yekta farzadkia
5
1 -
2 -
3 -
4 -
5 -
Keywords:
Abstract :
References:
1. Mesías-Ruiz, G.A. and et al., Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review. Frontiers in Plant Science, 2023. 14.
2. Jefroy, N., M. Azarian, and H. Yu, Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics? Logistics, 2022. 6(2): p. 26.
3. Geldes, C., Challenges of Industry 4.0 for companies in emerging economies. some inputs for the research. Journal of Technology Management & Innovation, 2023. 18(3): p. 3–4.
4. Verma, D., Analysis of smart manufacturing technologies for industry using AI methods. Turkish Journal of Computer and Mathematics Education (Turcomat), 2018. 9(2): p. 529–540.
5. Azadimotlagh, M., N. Jafari, and R. Sharafdini, Review on architecture and challenges in smart cities. Journal of Information Systems and Telecommunication, 2025. 13(1): p. 33–49.
6. Khamsehand, A., M. Mirfallah Lialestani, and R. Radfar, Digital Transformation Model Based on Grounded Theory. Journal of Information Systems and Telecommunication (JIST), 2021. 9(4): p. 275–284.
7. Dai, H.N. and et al., Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies. Enterprise Information Systems, 2019. 14(9–10): p. 1279–1303.
8. Tsai, M.F. and et al., Smart Machinery Monitoring System with Reduced Information Transmission and Fault Prediction Methods Using Industrial Internet of Things. Mathematics, 2021. 9(1): p. 3.
9. Sun, X., H. Yu, and W.D. Solvang, The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities. Environmental Science and Pollution Research, 2022. 29: p. 9560–9591.
10. Lee, E.A., The past, present and future of cyber-physical systems: a focus on models. Sensors, 2015. 15(3): p. 4837–4869.
11. Tyagi, A.K. and N. Sreenath, Cyber Physical Systems: Analyses, challenges and possible solutions. Internet of Things and Cyber-Physical Systems, 2021. 1: p. 22–33.
12. Li, H. and X. Zhang, Automation in construction: RFID-based wireless manufacturing for real-time management. Automation in Construction, 2011. 20(6): p. 742–752.
13. Uckelmann, D., M. Harrison, and F. Michahelles, Architecting the Internet of Things. 2011, Berlin: Springer.
14. Emerging Technologies & Innovation. MIT Technology Review.
15. Mozaffariand, F., et al., Application of Machine Learning in the Telecommunications Industry: Partial Churn Prediction by Using a Hybrid Feature Selection Approach. Journal of Information Systems and Telecommunication (JIST), 2023. 11(4): p. 331–346.
16. Erl, T., R. Puttini, and Z. Mahmood, Cloud Computing: Concepts, Technology & Architecture. 2013, Boston: Pearson.
17. Kagermann, H., W. Wahlster, and J. Helbig, Recommendations for implementing the strategic initiative INDUSTRIE 4.0. 2013, acatech: Germany.
18. Paprzycki, M., M. Ganzha, and K. Wasielewska, Agent-Based Simulation of Freight Distribution in the Context of Smart Cities. Scalable Computing: Practice and Experience (SCPE), 2020.
19. Zhang, J., L. Chen, and M. Ahmed, Advanced Machine Learning Techniques for Predictive Maintenance in Industrial IoT Systems. Wireless Communications and Mobile Computing, 2022.
20. Javaid, M. and et al., Blockchain technology applications for Industry 4.0: A literature-based review. Blockchain: Research and Applications, 2021. 2(4): p. 100027.
21. Market Research & Business Strategy. Frost & Sullivan.
22. Smagin, S.I. and A.V. Ometov, A Blockchain-Based Approach to Data Security in Distributed Systems, in Computational Science – ICCS 2018 (Lecture Notes in Computer Science, vol 10860), J. Dongarra, M. Taufer, and C. Kartsaklis, Editors. 2018, Springer.
23. Bellavista, P., A. Corradi, and M. Di Felice, Advancements in IoT-Based Environmental Monitoring Systems Using Low-Cost Sensors. Sensors, 2023.
24. Perno, M., L. Hvam, and A. Haug, Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers. Computers in Industry, 2022. 134: p. 103558.
25. International Telecommunication, U., Measuring digital development: Facts and figures. 2022, ITU Publications: Geneva.
26. Wresearch, South Korea Smart Manufacturing Market Outlook. 2023, 6Wresearch: New Delhi, India.
27. Siemens, A.G., Digital Industries and Industry 4.0. 2022, Siemens.
28. Collins, L.M. and L.M. Smith, Review: Smart agri-systems for the pig industry. Animal, 2022. 16(Supplement 2): p. 100518.
29. Kantaros, A. and et al., 3D printing: Making an innovative technology widely accessible through makerspaces and outsourced services. Materials Today: Proceedings, 2022. 49(Part 7): p. 2712–2723.
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31. World Intellectual Property, O., Global Innovation Index 2023. 2023, WIPO: Geneva.
32. 2023 State of Smart Manufacturing Study. Asia Manufacturing News Today, 2023.
33. Counterpoint, R., Global Technology Market Overview Q1 2023. 2023.
34. acatech – National Academy of, S. and Engineering, Industrie 4.0 in Germany: Innovation and Implementation, in acatech Position Paper. 2022.
35. Kumar, S. and R. Swarnkar, RFID technology in healthcare: A systematic review. International Journal of E-Health and Medical Communications, 2016. 7(2): p. 1–18.
36. Wiegand, T. and M. Wynn, Sustainability, the Circular Economy and Digitalisation in the German Textile and Clothing Industry. Sustainability, 2023. 15(11).
37. Sport, Business and Management: An International Journal. Sport, Business and Management: An International Journal, 2025.
38. IEEE Sensors Journal. IEEE Sensors Journal, 2025.
39. Recent Advances in Chemical Sensing. Sensors and Actuators B: Chemical, 2023.
40. MarketsandMarkets, Global Industrial Automation Market—Forecast to 2025, in Market Report. 2023.
41. Grand View, R., Smart Manufacturing Market Analysis Report. 2024.
42. Advanced Materials. Advanced Materials, 2025.
43. Hermann, M., T. Pentek, and B. Otto, Design principles for Industrie 4.0 scenarios: A literature review. Procedia CIRP, 2016. 52: p. 167–172.
44. Carvalho, T.P., et al., A systematic literature review of machine learning methods applied to predictive maintenance. Computers & Industrial Engineering, 2019. 137: p. 106024.
45. Hofmann, E. and M. Rüsch, Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 2017. 89: p. 23–34.
46. Malaysia Investment Development, A., Malaysia Accelerates Tech Transformation with Industry4WRD. 2023.
47. Edward, O.T., The Impact of the Fourth Industrial Revolution (IR 4.0) on Modern Civilisation in Malaysia, in BERNAMA News. 2023.
48. Ghobakhloo, M., The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 2018. 29(6): p. 910–936.
49. Savastano, M. and et al., Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review. Sustainability, 2019. 11(3): p. 891.
50. Rosa, P., C. Sassanelli, and S. Terzi, Circular business models in the digital age: A review. Sustainability, 2020. 12(19): p. 7911.
51. Manufacturing & Industrial News. Industry Today, 2024.
52. Technologie News & Trends. Business Insider Deutschland.
53. Gumbi, L. and H. Twinomurinzi, Smme readiness for smart manufacturing (4IR) adoption: a systematic review. 2020. p. 41–54.
54. Szász, L. and et al., Industry 4.0: a review and analysis of contingency and performance effects. Journal of Manufacturing Technology Management, 2020. 32(3): p. 667–694.
55. Mittal, S. and et al., A critical review of smart manufacturing & industry 4.0 maturity models: implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 2018. 49: p. 194–214.
56. Ghonim, H.M. and et al., The impact of lean practices on operational performance: an empirical investigation of manufacturing firms. International Journal of Productivity and Performance Management, 2020.
57. Kumar, A., R. Chandramohan, and P. Sathishkumar, Thermal performance analysis of a parabolic trough solar collector using hybrid nanofluids: A numerical approach. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021.
58. Mayahi, A., F. Shams, and M.R. Meybodi, A novel hybrid machine learning model for predictive maintenance in Industry 4.0. Computers in Industry, 2020.
59. Khan, M.K., M.T. Sohail, and S.G. Hassan, Digital transformation and sustainable development: A bibliometric analysis. 2021.
60. Chhikara, P. and et al., Data dimensionality reduction techniques for industry 4.0: research results, challenges, and future research directions. Software Practice and Experience, 2020. 52(3): p. 658–688.
61. Jafari, N., M. Azarian, and H. Yu, Moving from industry 4.0 to industry 5.0: what are the implications for smart logistics? Logistics, 2022. 6(2): p. 26.
62. Chandra, G.R., B.K. Sharma, and I.A. Liaqat, UAE’s Strategy Towards Most Cyber Resilient Nation. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019. 8(12).
63. Boyes, H., et al., The industrial internet of things (IIoT): An analysis framework. Computers in Industry, 2018. 101: p. 1–12.
64. Thun, M.J. and A.R. Hofer, Regulatory challenges for smart manufacturing in Europe: Harmonization and standardization of legal frameworks. Journal of European Industrial Policy, 2021. 14(3): p. 215–232.
65. Stoppa, M. and A. Chiolerio, Wearable electronics and smart textiles: A critical review. Sensors, 2014. 14(7): p. 11957–11992.
66. Cvetković, A. and et al., Internet of Things Security Aspects. Zbornik Radova Univerziteta Sinergija, 2020. 21(6).
67. Adebayo, R., AI-enhanced manufacturing robotics: a review of applications and trends. World Journal of Advanced Research and Reviews, 2023. 21(3): p. 2060–2072.
68. Anumbe, N., C. Saidy, and R. Harik, A primer on the factories of the future. Sensors, 2022. 22(15): p. 5834.
69. Official Mercedes-Benz Website. Mercedes-Benz.
70. SFAW 2024: South Korea's pressing demand for automation and robotics, in Interact Analysis. 2024.
71. Smart Manufacturing Summit 2024. Business France, 2024.
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74. U.S. Manufacturing Ecosystem Key to Economic Growth, in U.S. Department of Defense. 2023.
75. U.S. Smart Manufacturing Market Report, in Grand View Research. 2023.
76. Smart manufacturing trends, in AdvancedTech Blog. 2024.
77. 6 (mostly digital) trends shaping manufacturing in 2024, in IndustryWeek. 2024.
78. Indonesia Smart Cities Market Outlook to 2028, in Ken Research. 2024.
79. Smart Cities in Indonesia – IoT Market Outlook. Statista, 2024.
80. Azhar, M., Indonesia’s New Capital Nusantara to Become Tech‑Enabled Smart City. GovInsider.
81. Editorial, I., Smart Manufacturing: Indonesia’s Strategy for Global Competitiveness in the Digital Age. INTIMEDIA.
82. 5 Smart Technologies for 'Making Indonesia 4.0'. Suryacipta.
83. Indonesia Digital Economy, in U.S. International Trade Administration.
84. Malaysia Smart Manufacturing Opportunities, in International Trade Administration.
85. Automation Project Initiative: Building a Smarter Future for Manufacturing. Malaysian Investment Development Authority (MIDA), 2023.
86. NIMP 2030: Digitalisation Vital for Smart Factory Realisation, in Malaysian Investment Development Authority. 2023.
87. Malaysia Digital Transformation: A Catalyst for Sustainable Progress, in World Economic Forum. 2024.
88. Aiyedogbon, J.O., M.S. Gonzalez, and A.K. Mahmoud, Sustainable Urban Development Through Smart City Technologies: A Case Study of Emerging Economies. International Journal of Technology and Systems (IJTS), 2023.
89. Smith, E.J., D.R. Lee, and S.K. Johnson, Artificial Intelligence Applications in Modern Library Systems: Challenges and Opportunities. Journal of Librarianship and Information Science, 2021.
90. Kumar, R., A. Sharma, and V. Singh, Enhancing Data Security in IoT Networks Using Machine Learning Algorithms. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2021.
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1. Mesías-Ruiz, G.A. and et al., Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review. Frontiers in Plant Science, 2023. 14.
2. Jefroy, N., M. Azarian, and H. Yu, Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics? Logistics, 2022. 6(2): p. 26.
3. Geldes, C., Challenges of Industry 4.0 for companies in emerging economies. some inputs for the research. Journal of Technology Management & Innovation, 2023. 18(3): p. 3–4.
4. Verma, D., Analysis of smart manufacturing technologies for industry using AI methods. Turkish Journal of Computer and Mathematics Education (Turcomat), 2018. 9(2): p. 529–540.
5. Azadimotlagh, M., N. Jafari, and R. Sharafdini, Review on architecture and challenges in smart cities. Journal of Information Systems and Telecommunication, 2025. 13(1): p. 33–49.
6. Khamsehand, A., M. Mirfallah Lialestani, and R. Radfar, Digital Transformation Model Based on Grounded Theory. Journal of Information Systems and Telecommunication (JIST), 2021. 9(4): p. 275–284.
7. Dai, H.N. and et al., Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies. Enterprise Information Systems, 2019. 14(9–10): p. 1279–1303.
8. Tsai, M.F. and et al., Smart Machinery Monitoring System with Reduced Information Transmission and Fault Prediction Methods Using Industrial Internet of Things. Mathematics, 2021. 9(1): p. 3.
9. Sun, X., H. Yu, and W.D. Solvang, The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities. Environmental Science and Pollution Research, 2022. 29: p. 9560–9591.
10. Lee, E.A., The past, present and future of cyber-physical systems: a focus on models. Sensors, 2015. 15(3): p. 4837–4869.
11. Tyagi, A.K. and N. Sreenath, Cyber Physical Systems: Analyses, challenges and possible solutions. Internet of Things and Cyber-Physical Systems, 2021. 1: p. 22–33.
12. Li, H. and X. Zhang, Automation in construction: RFID-based wireless manufacturing for real-time management. Automation in Construction, 2011. 20(6): p. 742–752.
13. Uckelmann, D., M. Harrison, and F. Michahelles, Architecting the Internet of Things. 2011, Berlin: Springer.
14. Emerging Technologies & Innovation. MIT Technology Review.
15. Mozaffariand, F., et al., Application of Machine Learning in the Telecommunications Industry: Partial Churn Prediction by Using a Hybrid Feature Selection Approach. Journal of Information Systems and Telecommunication (JIST), 2023. 11(4): p. 331–346.
16. Erl, T., R. Puttini, and Z. Mahmood, Cloud Computing: Concepts, Technology & Architecture. 2013, Boston: Pearson.
17. Kagermann, H., W. Wahlster, and J. Helbig, Recommendations for implementing the strategic initiative INDUSTRIE 4.0. 2013, acatech: Germany.
18. Paprzycki, M., M. Ganzha, and K. Wasielewska, Agent-Based Simulation of Freight Distribution in the Context of Smart Cities. Scalable Computing: Practice and Experience (SCPE), 2020.
19. Zhang, J., L. Chen, and M. Ahmed, Advanced Machine Learning Techniques for Predictive Maintenance in Industrial IoT Systems. Wireless Communications and Mobile Computing, 2022.
20. Javaid, M. and et al., Blockchain technology applications for Industry 4.0: A literature-based review. Blockchain: Research and Applications, 2021. 2(4): p. 100027.
21. Market Research & Business Strategy. Frost & Sullivan.
22. Smagin, S.I. and A.V. Ometov, A Blockchain-Based Approach to Data Security in Distributed Systems, in Computational Science – ICCS 2018 (Lecture Notes in Computer Science, vol 10860), J. Dongarra, M. Taufer, and C. Kartsaklis, Editors. 2018, Springer.
23. Bellavista, P., A. Corradi, and M. Di Felice, Advancements in IoT-Based Environmental Monitoring Systems Using Low-Cost Sensors. Sensors, 2023.
24. Perno, M., L. Hvam, and A. Haug, Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers. Computers in Industry, 2022. 134: p. 103558.
25. International Telecommunication, U., Measuring digital development: Facts and figures. 2022, ITU Publications: Geneva.
26. Wresearch, South Korea Smart Manufacturing Market Outlook. 2023, 6Wresearch: New Delhi, India.
27. Siemens, A.G., Digital Industries and Industry 4.0. 2022, Siemens.
28. Collins, L.M. and L.M. Smith, Review: Smart agri-systems for the pig industry. Animal, 2022. 16(Supplement 2): p. 100518.
29. Kantaros, A. and et al., 3D printing: Making an innovative technology widely accessible through makerspaces and outsourced services. Materials Today: Proceedings, 2022. 49(Part 7): p. 2712–2723.
30. Aliwi, I. and et al., The Role of Immersive Virtual Reality and Augmented Reality in Medical Communication: A Scoping Review. Journal of Patient Experience, 2023. 10.
31. World Intellectual Property, O., Global Innovation Index 2023. 2023, WIPO: Geneva.
32. 2023 State of Smart Manufacturing Study. Asia Manufacturing News Today, 2023.
33. Counterpoint, R., Global Technology Market Overview Q1 2023. 2023.
34. acatech – National Academy of, S. and Engineering, Industrie 4.0 in Germany: Innovation and Implementation, in acatech Position Paper. 2022.
35. Kumar, S. and R. Swarnkar, RFID technology in healthcare: A systematic review. International Journal of E-Health and Medical Communications, 2016. 7(2): p. 1–18.
36. Wiegand, T. and M. Wynn, Sustainability, the Circular Economy and Digitalisation in the German Textile and Clothing Industry. Sustainability, 2023. 15(11).
37. Sport, Business and Management: An International Journal. Sport, Business and Management: An International Journal, 2025.
38. IEEE Sensors Journal. IEEE Sensors Journal, 2025.
39. Recent Advances in Chemical Sensing. Sensors and Actuators B: Chemical, 2023.
40. MarketsandMarkets, Global Industrial Automation Market—Forecast to 2025, in Market Report. 2023.
41. Grand View, R., Smart Manufacturing Market Analysis Report. 2024.
42. Advanced Materials. Advanced Materials, 2025.
43. Hermann, M., T. Pentek, and B. Otto, Design principles for Industrie 4.0 scenarios: A literature review. Procedia CIRP, 2016. 52: p. 167–172.
44. Carvalho, T.P., et al., A systematic literature review of machine learning methods applied to predictive maintenance. Computers & Industrial Engineering, 2019. 137: p. 106024.
45. Hofmann, E. and M. Rüsch, Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 2017. 89: p. 23–34.
46. Malaysia Investment Development, A., Malaysia Accelerates Tech Transformation with Industry4WRD. 2023.
47. Edward, O.T., The Impact of the Fourth Industrial Revolution (IR 4.0) on Modern Civilisation in Malaysia, in BERNAMA News. 2023.
48. Ghobakhloo, M., The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 2018. 29(6): p. 910–936.
49. Savastano, M. and et al., Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review. Sustainability, 2019. 11(3): p. 891.
50. Rosa, P., C. Sassanelli, and S. Terzi, Circular business models in the digital age: A review. Sustainability, 2020. 12(19): p. 7911.
51. Manufacturing & Industrial News. Industry Today, 2024.
52. Technologie News & Trends. Business Insider Deutschland.
53. Gumbi, L. and H. Twinomurinzi, Smme readiness for smart manufacturing (4IR) adoption: a systematic review. 2020. p. 41–54.
54. Szász, L. and et al., Industry 4.0: a review and analysis of contingency and performance effects. Journal of Manufacturing Technology Management, 2020. 32(3): p. 667–694.
55. Mittal, S. and et al., A critical review of smart manufacturing & industry 4.0 maturity models: implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 2018. 49: p. 194–214.
56. Ghonim, H.M. and et al., The impact of lean practices on operational performance: an empirical investigation of manufacturing firms. International Journal of Productivity and Performance Management, 2020.
57. Kumar, A., R. Chandramohan, and P. Sathishkumar, Thermal performance analysis of a parabolic trough solar collector using hybrid nanofluids: A numerical approach. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021.
58. Mayahi, A., F. Shams, and M.R. Meybodi, A novel hybrid machine learning model for predictive maintenance in Industry 4.0. Computers in Industry, 2020.
59. Khan, M.K., M.T. Sohail, and S.G. Hassan, Digital transformation and sustainable development: A bibliometric analysis. 2021.
60. Chhikara, P. and et al., Data dimensionality reduction techniques for industry 4.0: research results, challenges, and future research directions. Software Practice and Experience, 2020. 52(3): p. 658–688.
61. Jafari, N., M. Azarian, and H. Yu, Moving from industry 4.0 to industry 5.0: what are the implications for smart logistics? Logistics, 2022. 6(2): p. 26.
62. Chandra, G.R., B.K. Sharma, and I.A. Liaqat, UAE’s Strategy Towards Most Cyber Resilient Nation. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019. 8(12).
63. Boyes, H., et al., The industrial internet of things (IIoT): An analysis framework. Computers in Industry, 2018. 101: p. 1–12.
64. Thun, M.J. and A.R. Hofer, Regulatory challenges for smart manufacturing in Europe: Harmonization and standardization of legal frameworks. Journal of European Industrial Policy, 2021. 14(3): p. 215–232.
65. Stoppa, M. and A. Chiolerio, Wearable electronics and smart textiles: A critical review. Sensors, 2014. 14(7): p. 11957–11992.
66. Cvetković, A. and et al., Internet of Things Security Aspects. Zbornik Radova Univerziteta Sinergija, 2020. 21(6).
67. Adebayo, R., AI-enhanced manufacturing robotics: a review of applications and trends. World Journal of Advanced Research and Reviews, 2023. 21(3): p. 2060–2072.
68. Anumbe, N., C. Saidy, and R. Harik, A primer on the factories of the future. Sensors, 2022. 22(15): p. 5834.
69. Official Mercedes-Benz Website. Mercedes-Benz.
70. SFAW 2024: South Korea's pressing demand for automation and robotics, in Interact Analysis. 2024.
71. Smart Manufacturing Summit 2024. Business France, 2024.
72. Official Website. Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA).
73. South Korea Smart Manufacturing Market Outlook, in 6Wresearch. 2024.
74. U.S. Manufacturing Ecosystem Key to Economic Growth, in U.S. Department of Defense. 2023.
75. U.S. Smart Manufacturing Market Report, in Grand View Research. 2023.
76. Smart manufacturing trends, in AdvancedTech Blog. 2024.
77. 6 (mostly digital) trends shaping manufacturing in 2024, in IndustryWeek. 2024.
78. Indonesia Smart Cities Market Outlook to 2028, in Ken Research. 2024.
79. Smart Cities in Indonesia – IoT Market Outlook. Statista, 2024.
80. Azhar, M., Indonesia’s New Capital Nusantara to Become Tech‑Enabled Smart City. GovInsider.
81. Editorial, I., Smart Manufacturing: Indonesia’s Strategy for Global Competitiveness in the Digital Age. INTIMEDIA.
82. 5 Smart Technologies for 'Making Indonesia 4.0'. Suryacipta.
83. Indonesia Digital Economy, in U.S. International Trade Administration.
84. Malaysia Smart Manufacturing Opportunities, in International Trade Administration.
85. Automation Project Initiative: Building a Smarter Future for Manufacturing. Malaysian Investment Development Authority (MIDA), 2023.
86. NIMP 2030: Digitalisation Vital for Smart Factory Realisation, in Malaysian Investment Development Authority. 2023.
87. Malaysia Digital Transformation: A Catalyst for Sustainable Progress, in World Economic Forum. 2024.
88. Aiyedogbon, J.O., M.S. Gonzalez, and A.K. Mahmoud, Sustainable Urban Development Through Smart City Technologies: A Case Study of Emerging Economies. International Journal of Technology and Systems (IJTS), 2023.
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