Impact of AI and COVID-19 on manufacturing systems: An Asia Pacific Perspective on the two Competing exigencies

References

• Accenture. (2020). Outmaneuver uncertainty: Navigating the human and business impact of Covid-19. https://www.accenture.com/us-en/about/company/coronavirus-business-economic-impact
   Google Scholar
• Agarwal, P., Ravi Kumar, G. V. V., & Agarwal, P. (2020). IoT based framework for smart campus: COVID-19 readiness. Proceedings of the World Conference on Smart Trends in Systems, Security and Sustainability, WS4, 2020, 539–29. https://doi.org/10.1109/WorldS450073.2020.9210382
   Google Scholar
• Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Press.
   Google Scholar
• Ahir, S., Telavane, D., & Thomas, R. (2020). The impact of artificial intelligence, blockchain, big data and evolving technologies in coronavirus disease-2019 (COVID-19) curtailment. Proceedings - International Conference on Smart Electronics and Communication, ICOSEC 2020, 113–120. https://doi.org/10.1109/ICOSEC49089.2020.9215294
   Google Scholar
• Alharthi, H. (2020). Predicting the level of generalized anxiety disorder of the coronavirus pandemic among college age students using artificial intelligence technology. 2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), 218–221. https://doi.org/10.1109/DCABES50732.2020.00064
   Google Scholar
• Ali, S. M., Appolloni, A., Cavallaro, F., D’Adamo, I., DiVaio, A., Ferella, F., Gastaldi, M., Ikram, M., Kumar, N. M., Martin, M. A., Nizami, A.-S., Ozturk, I., Riccardi, M. P., Rosa, P., Santibanez Gonzalez, E., Sassanelli, C., Settembre-Blundo, D., Singh, R. K. Yang, N. (2023). Development Goals towards Sustainability. Sustainability, 15(12), 9443. https://doi.org/10.3390/su15129443
   Web of Science ®Google Scholar
• Allen, S. (2020). Artificial Intelligence and the Future of Psychiatry. IEEE Pulse, 11(3), 2–6. https://doi.org/10.1109/MPULS.2020.2993657
   PubMed Web of Science ®Google Scholar
• Andersson, B. (2022, July 11). UNFPA. Asia-Pacific: Home to more than half of the world's population. Retrieved from https://asiapacific.unfpa.org/en/news/asia-pacific-home-more-half-worlds-population
   Google Scholar
• Andresen, S. L. (2002). John McCarthy: Father of AI. IEEE Intelligent Systems, 17(5), 84–85. Sept.-Oct, 2002. https://doi.org/10.1109/MIS.2002.1039837
   Web of Science ®Google Scholar
• Anifa, M., Ramakrishnan, S., Joghee, S., Kabiraj, S., & Bishnoi, M. M. (2022). Fintech innovations in the financial service industry. Journal of Risk and Financial Management, 15(7), 287. https://doi.org/10.3390/jrfm15070287. MDPI AG Retrieved from.
   Web of Science ®Google Scholar
• Arner, D. W., Barberis, J. N., Walker, J., Buckley, R. P., & Zetzsche, D. A. (2020). Digital finance & crisis. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3558889
   Google Scholar
• Aruväli, T., De Marchi, M., & Rauch, E. (2023). Analysis of quantitative metrics for assessing resilience of human-centered CPPS workstations. Scientific Reports, 13(1), 2914. https://doi.org/10.1038/s41598-023-29735-1
   PubMed Web of Science ®Google Scholar
• Aziz Hussin, A. (2018). Education 4.0 made simple: Ideas for teaching. International Journal of Education & Literacy Studies, 6(3), 92. https://doi.org/10.7575/aiac.ijels.v.6n.3p.92
   Google Scholar
• Bag, S. G., Gupta, S., & Kumar, S. (2021). Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development. International Journal of Production Economics, 231, 107844. https://doi.org/10.1016/j.ijpe.2020.107844
   Web of Science ®Google Scholar
• Berg, J., Furrer, M., Harmon, E., Rani, U., & Silberman, M. S. (2018). Digital labour platforms and the future of work: Towards decent work in the online world. International Labour Office.
   Google Scholar
• Bharti, U., Bajaj, D., Batra, H., Lalit, S., Lalit, S., & Gangwani, A. (2020). Medbot: Conversational artificial intelligence powered chatbot for delivering tele-health after COVID-19. 5th international conference on communication and electronics systems (ICCES) (pp. 870–875). IEEE. https://doi.org/10.1109/icces48766.2020.9137944
   Google Scholar
• Bick, A., Blandin, A., & Mertens, K. (2020). Work from home after the COVID-19 outbreak work from home after the COVID-19 Outbreak *. SSRN Electronic Journal. https://doi.org/10.24149/wp2017
   Google Scholar
• Blustein, D. L., Duffy, R., Ferreira, J. A., Cohen-Scali, V., Cinamon, R. G., & Allan, B. A. (2020). Unemployment in the time of COVID-19: A research agenda. In Journal of Vocational Behavior (Vol. 119, p. 103436). Academic Press Inc. https://doi.org/10.1016/j.jvb.2020.103436
   Google Scholar
• Brem, A., Viardot, E., & Nylund, P. A. (2020). Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives? Technological Forecasting and Social Change, 163, 120451. https://doi.org/10.1016/j.techfore.2020.120451
   PubMed Web of Science ®Google Scholar
• Carbonero, F., Ernst, E., & Weber, E. (2018), Robots and jobs around the world, ILO Research Department Working Paper No. 36, International Labour Office, Geneva, 2018.
   Google Scholar
• Centers for Disease Control and Prevention. (2020). How coronavirus spreads | CDC. https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/how-covid-spreads.html
   Google Scholar
• Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020). A comprehensive review of the COVID-19 pandemic and the role of IoT, Drones, AI, Blockchain, and 5G in managing its impact. IEEE Access, 8, 90225–90265. https://doi.org/10.1109/ACCESS.2020.2992341
   Web of Science ®Google Scholar
• Chang, A. C. (2020). Artificial intelligence and COVID-19: Present state and future vision. Intelligence-Based Medicine, 100012, 100012. https://doi.org/10.1016/j.ibmed.2020.100012
   Google Scholar
• Chen, J., & See, K. C. Artificial intelligence for COVID-19: Rapid review. (2020). Journal of Medical Internet Research, 22(10), e21476. JMIR Publications. https://doi.org/10.2196/21476
   PubMed Web of Science ®Google Scholar
• CIS. (n.d.). How to Differentiate Between IOT, AI and ML? Retrieved January 2, 2021, from https://www.cisin.com/coffee-break/technology/how-to-differentiate-between-iot-ai-and-ml.html
   Google Scholar
• Cockburn, I. M., Henderson, R., & Stern, S. (2018), The Impact of Artificial Intelligence on Innovation, NBER Working Paper No. 24449, National Bureau of Economic Research,
   Google Scholar
• Conz, E., & Magnani, G. (2020). A dynamic perspective on the resilience of firms: A systematic literature review and a framework for future research. European Management Journal, 38(3), 400–412. https://doi.org/10.1016/j.emj.2019.12.004
   Web of Science ®Google Scholar
• Coombs, C. (2020). Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research. International Journal of Information Management, 55, 55. https://doi.org/10.1016/j.ijinfomgt.2020.102182
   Web of Science ®Google Scholar
• Cozza, G. D., D’Adamo, I., & Rosa, P. (2023). Circular manufacturing ecosystems: Automotive printed circuit boards recycling as an enabler of the economic development. Production and Manufacturing Research, 11(1). https://doi.org/10.1080/21693277.2023.2182837
   Google Scholar
• Dang, G. S., & Sui Pheng, L. (2015). Theories of Economic Development. In Infrastructure Investments in Developing Economies (pp. 11–26). Springer Singapore. https://doi.org/10.1007/978-981-287-248-7_2
   Google Scholar
• Davide Basile, I. D., D’Adamo, I., Goretti, V., & Rosa, P. (2023). Digitalizing circular economy through blockchains: The blockchain circular economy index. Journal of Industrial and Production Engineering, 40(4), 233–245. https://doi.org/10.1080/21681015.2023.2173317
   Web of Science ®Google Scholar
• Daws, R. (2018). Report: AI will increase the wealth inequality between the rich and poor. https://artificialintelligence-news.com/2018/01/11/ai-wealth-inequality/
   Google Scholar
• Debata, B., Patnaik, P., & Mishra, A. (2020). COVID‐19 pandemic! It’s impact on people, economy, and environment. Journal of Public Affairs, 20(4), e2372. https://doi.org/10.1002/pa.2372
   Web of Science ®Google Scholar
• DiVaio, A., Hassan, R., Chhabra, M., Arrigo, E., & Palladino, R. (2022). Sustainable entrepreneurship impact and entrepreneurial venture life cycle: A systematic literature review. Journal of Cleaner Production, 378, 134469. https://doi.org/10.1016/j.jclepro.2022.134469
   Web of Science ®Google Scholar
• DiVaio, A., Hassan, R., D’Amore, G., & Tiscini, R. (2022). Responsible innovation and ethical corporate behavior in the Asian fashion industry: A systematic literature review and avenues ahead. Asia Pacific Journal of Management, 1–45. https://doi.org/10.1007/s10490-022-09844-7
   Web of Science ®Google Scholar
• DiVaio, A., Hassan, R., & Palladino, R. (2023). Blockchain technology and gender equality: A systematic literature review. International Journal of Information Management, 68, 102517. https://doi.org/10.1016/j.ijinfomgt.2022.102517
   Web of Science ®Google Scholar
• DiVaio, A., Latif, B., Gunarathne, N., Gupta, M., & D’Adamo, I. (2023). Digitalization and artificial knowledge for accountability in SCM: A systematic literature review. Journal of Enterprise Information Management, ahead-of-print.
   Web of Science ®Google Scholar
• DiVaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283–314. https://doi.org/10.1016/j.jbusres.2020.08.019
   Web of Science ®Google Scholar
• Dixit, S. (2022). Intelligence and CRM: A Case of Telecom Industry. In Adoption and Implementation of AI in Customer Relationship Management. IGI Global.
   Google Scholar
• Drucker, P. F. (1990, June). The emerging theory of manufacturing. Survival Depends Upon Sustainability.
   Google Scholar
• The Economist. (2018). Daily chart - a study finds nearly half of jobs are vulnerable to automation | Graphic detail |. https://www.economist.com/graphic-detail/2018/04/24/a-study-finds-nearly-half-of-jobs-are-vulnerable-to-automation
   Google Scholar
• Etzioni, A., & Etzioni, O. (2017). Should Artificial Intelligence Be Regulated? | Issues in Science and Technology. https://issues.org/perspective-should-artificial-intelligence-be-regulated/
   Google Scholar
• Fernando, G. (2020). Coronavirus: The countries that defeated COVID-19. https://www.news.com.au/world/coronavirus/global/coronavirus-the-countries-that-defeated-covid19/news-story/9b3ace958b9a4185002465432f7378a1
   Google Scholar
• Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerization?, Technol. Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
   Web of Science ®Google Scholar
• Fujii, H., & Managi, S. (2018). Trends and priority shifts in artificial intelligence technology invention: A global patent analysis, Econ. Economic Analysis & Policy, 58, 60–69. https://doi.org/10.1016/j.eap.2017.12.006
   Web of Science ®Google Scholar
• Grguric, A., Vlacic, E., & Drvenkar, N. (2020). SSESSING FIRMS'COMPETITIVENESS AND TECHNOLOGICAL ADVANCEMENT BY APPLYING ARTIFICIAL INTELLIGENCE AS A DIFFERENTIATION STRATEGY-A PROPOSED CONCEPTUAL MODEL. Economic and Social Development: Book of Proceedings, 43–61 .
   Google Scholar
• Haseeb, M., Mihardjo, L. W., Gill, A. R., Jermsittiparsert, K., & Jermsittiparsert, K. (2019). Economic impact of artificial intelligence: New look for the macroeconomic assessment in Asia-Pacific region. International Journal of Computational Intelligence Systems, 12(2), 1295. https://doi.org/10.2991/ijcis.d.191025.001
   Web of Science ®Google Scholar
• Hippold, S. (2020). 6 AI myths debunked - smarter with gartner.
   Google Scholar
• Hui, L. C., Meng, G. T. K., Jue, H. L., Qian, E. V. W., Hassan, A., Afrouzi, H. N., & Mehranzamir, K. (2022). Impact of Covid-19 on renewable energy sector and lessons learned: A case study on Malaysia. Future Energy, 1(3), 44–50. https://doi.org/10.55670/fpll.fuen.1.3.5
   Google Scholar
• Institute of Entrepreneurship Development. (2019). The 4 industrial revolutions. https://ied.eu/project-updates/the-4-industrial-revolutions/
   Google Scholar
• Iqbal, M. Z., & Faiz, M. F. I. (2020). Active surveillance for COVID-19 through artificial intelligence using real-time speech-recognition mobile application. https://doi.org/10.1109/icce-taiwan49838.2020.9258276
   Google Scholar
• Jang, H. W., & Lee, S. B. (2020). Serving robots: Management and applications for restaurant business sustainability. Sustainability, 12(10), 3998. https://doi.org/10.3390/SU12103998
   Web of Science ®Google Scholar
• Kharpal, A. (2016). AI could boost productivity but increase wealth inequality, the White House says. https://www.cnbc.com/2016/12/21/ai-could-boost-productivity-but-increase-wealth-inequality-the-white-house-says.html
   Google Scholar
• Koetsier, J. (2020). 25 million students on COVID-19: ‘Depression, anxiety and loneliness. Hitting Peak Levels. https://www.forbes.com/sites/johnkoetsier/2020/05/23/25-million-students-on-covid-19-depression-anxiety-and-lon
   Google Scholar
• Kramer, A., & Kramer, K. Z. (2020). The potential impact of the Covid-19 pandemic on occupational status, work from home, and occupational mobility. In Journal of vocational behavior (Vol. 119, p. 103442). Academic Press Inc. https://doi.org/10.1016/j.jvb.2020.103442
   Google Scholar
• Kumar, M. R., Raut, R. D., Mangla, S. K., Ferraris, A., & Choubey, V. K. (2022). The adoption of artificial intelligence powered workforce management for effective revenue growth of micro, small, and medium scale enterprises (MSMEs). Production Planning & Control, 1–17. https://doi.org/10.1080/09537287.2022.2131620
   Web of Science ®Google Scholar
• Leke, A., Chironga, M., & Desvaux, G. (2018). Africa’s business revolution: How to succeed in the world’s next big growth market. Harvard Business Press.
   Google Scholar
• Logg, J. M., Minson, J. A., & Moore, D. A. (2018), Algorithm appreciation: People prefer algorithmic to human judgment, harvard business school working Paper No. 17-086, Harvard University,
   Google Scholar
• Lucci, S., Kopec, D., & Musa, S. M. (2022). Artificial intelligence in the 21st century. Mercury learning and information.
   Google Scholar
• Lyam, M. (2020). Artificial intelligence and IoT - Revolutionizing IoT through AI. https://www.iotforall.com/artificial-intelligence-and-iot
   Google Scholar
• Malik, Y. S., Sircar, S., Bhat, S., Ansari, M. I., Pande, T., Kumar, P., Mathapati, B., Balasubramanian, G., Kaushik, R., Natesan, S., Ezzikouri, S., el Zowalaty, M. E., & Dhama, K. (2020). How artificial intelligence may help the Covid-19 pandemic: Pitfalls and lessons for the future. In Reviews in medical virology. John Wiley and Sons Ltd. https://doi.org/10.1002/rmv.2205
   Google Scholar
• Manalu, E. P. S., Trisnowati, Y., Muditomo, A., Kesuma, Z., Adriana, D., & Dwiyani, R. (2020). Role of information technology for successful responses to Covid-19 pandemic. In 2020 International Conference on Information Management and Technology ( ICIMTech). http://www.disaster20.eu
   Google Scholar
• Matarazzo, M., Penco, L., Profumo, G., & Quaglia, R. (2021). Digital transformation and customer value creation in Made in Italy SMEs: A dynamic capabilities perspective. Journal of Business Research, 123, 642–656. https://doi.org/10.1016/j.jbusres.2020.10.033
   Web of Science ®Google Scholar
• Mbunge, E., Akinnuwesi, B., Fashoto, S. G., Metfula, A. S., & Mashwama, P. (2020). A critical review of emerging technologies for tackling COVID-19 pandemic. Human Behavior and Emerging Technologies, 3(1), 25–39. https://doi.org/10.1002/hbe2.237
   PubMedGoogle Scholar
• Miró Pérez, A.-P. (2020). Joan Torrent-Sellens. https://doi.org/10.15665/v18i3.2497
   Google Scholar
• MIT Technology Review. (2020). Artificial intelligence. https://www.technologyreview.com/topic/artificial-intelligence/
   Google Scholar
• Ozili, P. K., & Arun, T. (2020). Spillover of COVID-19: Impact on the global economy. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3562570
   Google Scholar
• Paschkewitz, J., & Patt, D. (2020). Can AI Make Your Job More Interesting? Issues in Science and Technology, 37(1), 74–78. https://www.jstor.org/stable/26949200
   Web of Science ®Google Scholar
• Petropoulos, G., Raptopoulou, K. G., Pasias, I. N., Thomaidis, N. S., & Proestos, C. (2018). Chemometric determination of the shelf life of opened cans using the migration of specific metals as quality indicators. Food Chemistry, 267, 313–318. https://doi.org/10.1016/j.foodchem.2017.06.041
   PubMed Web of Science ®Google Scholar
• Pham, Q. V., Nguyen, D. C., Huynh-The, T., Hwang, W. J., & Pathirana, P. N. (2020). Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A survey on the state-of-the-arts. In IEEE Access (Vol. 8, pp. 130820–130839). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2020.3009328
   Google Scholar
• Rother, E. T. (2007). Revisão sistemática X revisão narrativa. Acta paulista de enfermagem, 20(2), v–vi. https://doi.org/10.1590/S0103-21002007000200001
   Google Scholar
• Ruhela, S., & Riaz, S. (2019, July). An intelligent combination: Assessing the impact of harmonized emotional and artificial intelligence for the success of industry 4.0. In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1–5). IEEE.
   Google Scholar
• Sassanelli, C., & Terzi, S. (2022). The D-BEST reference model: A flexible and sustainable support for the digital transformation of small and medium enterprises. Global Journal of Flexible Systems Management, 23(3), 345–370. https://doi.org/10.1007/s40171-022-00307-y
   Google Scholar
• Saunders, M. N., Lewis, P., & Thornhill, A. A. (2015). Understanding research philosophy and approaches to theory development. (M. N. Saunders, & P. A. Lewis, Eds.). Pearson Education.
   Google Scholar
• Schwab, K. (2016). The fourth industrial revolution. World Economic Forum.
   Google Scholar
• Schweiggart, S. G. (2022). Two years of COVID-19 and tourism: What we learned, and what we should have learned. Journal of Sustainable Tourism, 30(4), 915–931. https://doi.org/10.1080/09669582.2022.2029872
   Web of Science ®Google Scholar
• Shi, F., Wang, J., Shi, J., Wu, Z., Wang, Q., Tang, Z., He, K., Shi, Y., & Shen, D. (2020). Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for COVID-19. IEEE Reviews in Biomedical Engineering. https://doi.org/10.1109/RBME.2020.2987975
   Google Scholar
• Simplilearn. (2020). What is blockchain technology and how does it work? https://www.simplilearn.com/tutorials/blockchain-tutorial/blockchain-technology
   Google Scholar
• Singh, S. (2020). Impact of the coronavirus on business. https://www.forbes.com/sites/sarwantsingh/2020/03/02/impact-of-the-coronavirus-on-business/?sh=2730922b4414
   Google Scholar
• Sithambaram, R. A., & Tajudeen, F. P. (2022). Impact of artificial intelligence in human resource management: A qualitative study in the Malaysian context. Asia Pacific Journal of Human Resources. https://doi.org/10.1111/1744-7941.12356
   Web of Science ®Google Scholar
• Stanford Encyclopedia of Philosophy. (2003). The turing test. https://plato.stanford.edu/entries/turing-test/#Tur195ImiGam
   Google Scholar
• Sternberg, R. J. (2020). Human intelligence | definition, types, test, theories, & facts | britannica. https://www.britannica.com/science/human-intelligence-psychology
   Google Scholar
• Turing, A. M. (1950). I.—computing machinery and intelligence. Computing Machinery and Intelligence Mind, 49(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433
   Google Scholar
• UN News. (2020). Nearly half of global workforce at risk as job losses increase due to COVID-19: UN labour agency. https://news.un.org/en/story/2020/04/1062792
   Google Scholar
• Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337–339. https://doi.org/10.1016/j.dsx.2020.04.012
   PubMed Web of Science ®Google Scholar
• Wang, B., Yang, Z., Xuan, J., & Jiao, K. (2020). Crises and opportunities in terms of energy and AI technologies during the COVID-19 pandemic. Energy and AI, 1, 100013. https://doi.org/10.1016/j.egyai.2020.100013
   Google Scholar
• Weber, E. (n.d.). Digital Social Security: Outline of a concept for the 21st century. Hans-Böckler-Stiftung, Düsseldorf, p. Working Paper Forschungsförderung No. 138.
   Google Scholar
• World Health Organization. (2020a). Archived: WHO Timeline - COVID-19. https://www.who.int/news/item/27-04-2020-who-timeline—covid-19
   Google Scholar
• World Health Organization. (2020b). Impact of COVID-19 on people’s livelihoods, their health, and our food systems. https://www.who.int/news/item/13-10-2020-impact-of-covid-19-on-people%27s-livelihoods-their-health-and-our-food-systems
   Google Scholar
• Xiaoge Zhang, F. T. (2022). Towards risk-aware artificial intelligence and machine learning systems: An overview. Decision Support Systems, 159, 113800.
   Web of Science ®Google Scholar
• Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971
   Web of Science ®Google Scholar
• Yigitcanlar, T., Butler, L., Windle, E., Desouza, K. C., Mehmood, R., & Corchado, J. M. (2020). Can building “artificially intelligent cities” safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar’s perspective. Sensors (Switzerland), 20(10), 2988. https://doi.org/10.3390/s20102988
   PubMed Web of Science ®Google Scholar
• Young, A. (2019). Channeling fisher: Randomization tests and the statistical insignificance of seemingly significant experimental results. Quarterly Journal of Economics, 134(2), 557–598.
   Web of Science ®Google Scholar
• Zhou, J. O., Ong, T. S., Mastellone, L., & DiVaio, A. (2023). The effect of disciplinary inspection commission participation on the financing constraints of Chinese state-owned enterprises: A circular economy perspective. Production and Manufacturing Research, 11(1). https://doi.org/10.1080/21693277.2023.2214811
   Google Scholar