Enhancing adaptive and sustainable resilience through artificial intelligence, machine learning, internet of things, big data analytics, and blockchain
Abstract
Contemporary organizations and society are challenged unlike ever before by climate change, cybersecurity, and supply chain earthquakes, pandemics, and infrastructure breakdowns and require innovative solutions to create resilient systems. This literature review discusses the way in which the coming together of artificial intelligence, machine learning, internet of things, big data analytics, and blockchain technologies in unison can increase resilience in various areas. The research problem revolves around the ways these emerging technologies can be used hand in hand with each other and result in the following outcomes: predictive capabilities, adaptive response, distributed trust mechanism, and real time intelligence which makes systems resilient. This review integrates the existing studies on the topics of smart cities, healthcare system, supply chain management, disaster response, the protection of critical infrastructure, and financial services, following the PRISMA approach. It has been found that cohesive technology solutions show a higher level of resilience performance relative to isolated ones, especially increased situational awareness and automated deep decision-making, decentralized governance, and procedural accountability. Important observations suggest that predictive analytics powered by AI with the use of IoT sensor networks make a reaction to risks in advance possible, whereas blockchain holds the data integrity and its credibility in distributed systems. But there have remained considerable gaps on the realms of standardization, interoperability issues, ethical concern, energy consumption as well as scalability drawbacks.
Full text article
References
[1] Moskalenko V, Kharchenko V, Moskalenko A, Kuzikov B. Resilience and resilient systems of artificial intelligence: taxonomy, models and methods. Algorithms. 2023 Mar 18;16(3):165.
[2] https://doi.org/10.3390/a16030165
[3] Rane N, Choudhary S, Rane J. Artificial intelligence for enhancing resilience. Journal of Applied Artificial Intelligence. 2024 Sep 9;5(2):1-33. https://doi.org/10.48185/jaai.v5i2.1053
[4] Wani AK, Rahayu F, Ben Amor I, Quadir M, Murianingrum M, Parnidi P, Ayub A, Supriyadi S, Sakiroh S, Saefudin S, Kumar A. Environmental resilience through artificial intelligence: innovations in monitoring and management. Environmental Science and Pollution Research. 2024 Mar;31(12):18379-95. https://doi.org/10.1007/s11356-024-32404-z
[5] Zamani ED, Smyth C, Gupta S, Dennehy D. Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review. Annals of Operations Research. 2023 Aug;327(2):605-32. https://doi.org/10.1007/s10479-022-04983-y
[6] Singh S, Goyal MK. Enhancing climate resilience in businesses: the role of artificial intelligence. Journal of Cleaner Production. 2023 Sep 15;418:138228. https://doi.org/10.1016/j.jclepro.2023.138228
[7] Riad M, Naimi M, Okar C. Enhancing supply chain resilience through artificial intelligence: developing a comprehensive conceptual framework for AI implementation and supply chain optimization. Logistics. 2024 Nov 6;8(4):111. https://doi.org/10.3390/logistics8040111
[8] Rane NL, Mallick SK, Rane J. Artificial intelligence and machine learning for enhancing resilience: Concepts, Applications, and future directions. Deep Science Publishing; 2025 Jul 1. https://doi.org/10.70593/978-93-7185-143-5
[9] Modgil S, Singh RK, Hannibal C. Artificial intelligence for supply chain resilience: learning from Covid-19. The international journal of logistics management. 2022 Oct 17;33(4):1246-68. https://doi.org/10.1108/IJLM-02-2021-0094
[10] Kong H, Jiang X, Zhou X, Baum T, Li J, Yu J. Influence of artificial intelligence (AI) perception on career resilience and informal learning. Tourism Review. 2024 Jan 18;79(1):219-33. https://doi.org/10.1108/TR-10-2022-0521
[11] Belhadi A, Kamble S, Fosso Wamba S, Queiroz MM. Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework. International journal of production research. 2022 Jul 18;60(14):4487-507. https://doi.org/10.1080/00207543.2021.1950935
[12] Gupta S, Modgil S, Choi TM, Kumar A, Antony J. Influences of artificial intelligence and blockchain technology on financial resilience of supply chains. International Journal of Production Economics. 2023 Jul 1;261:108868. https://doi.org/10.1016/j.ijpe.2023.108868
[13] Dohale V, Akarte M, Gunasekaran A, Verma P. Exploring the role of artificial intelligence in building production resilience: learnings from the COVID-19 pandemic. International Journal of Production Research. 2024 Aug 2;62(15):5472-88. https://doi.org/10.1080/00207543.2022.2127961
[14] Lei Y, Liang Z, Ruan P. Evaluation on the impact of digital transformation on the economic resilience of the energy industry in the context of artificial intelligence. Energy Reports. 2023 Dec 1;9:785-92. https://doi.org/10.1016/j.egyr.2022.12.019
[15] Rashid A, Rasheed R, Ngah AH, Amirah NA. Unleashing the power of cloud adoption and artificial intelligence in optimizing resilience and sustainable manufacturing supply chain in the USA. Journal of Manufacturing Technology Management. 2024 Nov 18;35(7):1329-53. https://doi.org/10.1108/JMTM-02-2024-0080
[16] Dey PK, Chowdhury S, Abadie A, Vann Yaroson E, Sarkar S. Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small-and medium-sized enterprises. International Journal of Production Research. 2024 Aug 2;62(15):5417-56. https://doi.org/10.1080/00207543.2023.2179859
[17] Kassa A, Kitaw D, Stache U, Beshah B, Degefu G. Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research. Computers & Industrial Engineering. 2023 Dec 1;186:109714. https://doi.org/10.1016/j.cie.2023.109714
[18] Dubey R, Bryde DJ, Dwivedi YK, Graham G, Foropon C. Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: a practice-based view. International Journal of Production Economics. 2022 Aug 1;250:108618. https://doi.org/10.1016/j.ijpe.2022.108618
[19] Singh RK, Modgil S, Shore A. Building artificial intelligence enabled resilient supply chain: a multi-method approach. Journal of Enterprise Information Management. 2024 Apr 22;37(2):414-36. https://doi.org/10.1108/JEIM-09-2022-0326
[20] Naz F, Kumar A, Majumdar A, Agrawal R. Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research. Operations Management Research. 2022 Jun;15(1):378-98. https://doi.org/10.1007/s12063-021-00208-w
[21] Khan MH, Wang S, Wang J, Ahmar S, Saeed S, Khan SU, Xu X, Chen H, Bhat JA, Feng X. Applications of artificial intelligence in climate-resilient smart-crop breeding. International Journal of Molecular Sciences. 2022 Sep 22;23(19):11156. https://doi.org/10.3390/ijms231911156
[22] Vishwakarma LP, Singh RK, Mishra R, Kumari A. Application of artificial intelligence for resilient and sustainable healthcare system: Systematic literature review and future research directions. International Journal of Production Research. 2025 Jan 17;63(2):822-44. https://doi.org/10.1080/00207543.2023.2188101
[23] Jauhar SK, Jani SM, Kamble SS, Pratap S, Belhadi A, Gupta S. How to use no-code artificial intelligence to predict and minimize the inventory distortions for resilient supply chains. International Journal of Production Research. 2024 Aug 2;62(15):5510-34. https://doi.org/10.1080/00207543.2023.2166139
[24] Sundaramurthy SK, Ravichandran N, Inaganti AC, Muppalaneni R. AI-powered operational resilience: Building secure, scalable, and intelligent enterprises. Artificial Intelligence and Machine Learning Review. 2022 Jan 8;3(1):1-0.
[25] Mariani MM, Borghi M. Artificial intelligence in service industries: customers' assessment of service production and resilient service operations. International Journal of Production Research. 2024 Aug 2;62(15):5400-16. https://doi.org/10.1080/00207543.2022.2160027
[26] Mu W, Kleter GA, Bouzembrak Y, Dupouy E, Frewer LJ, Radwan Al Natour FN, Marvin HJ. Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools. Comprehensive Reviews in Food Science and Food Safety. 2024 Jan;23(1):e13296. https://doi.org/10.1111/1541-4337.13296
[27] Ahmed T, Karmaker CL, Nasir SB, Moktadir MA, Paul SK. Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective. Computers & Industrial Engineering. 2023 Mar 1;177:109055. https://doi.org/10.1016/j.cie.2023.109055
[28] Cao L. AI and data science for smart emergency, crisis and disaster resilience. International journal of data science and analytics. 2023 Apr;15(3):231-46. https://doi.org/10.1007/s41060-023-00393-w
[29] Ivanov D. Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability. International Journal of Production Economics. 2023 Sep 1;263:108938. https://doi.org/10.1016/j.ijpe.2023.108938
[30] Wu H, Li G, Zheng H. How does digital intelligence technology enhance supply chain resilience? Sustainable framework and agenda. Annals of Operations Research. 2025 Dec;355(1):901-23. https://doi.org/10.1007/s10479-024-06104-3
[31] Rane N. Role of ChatGPT and similar generative artificial intelligence (AI) in construction industry. Available at SSRN 4598258. 2023 Oct 10. https://doi.org/10.2139/ssrn.4598258
[32] Saeed S, Altamimi SA, Alkayyal NA, Alshehri E, Alabbad DA. Digital transformation and cybersecurity challenges for businesses resilience: Issues and recommendations. Sensors. 2023 Jul 25;23(15):6666. https://doi.org/10.3390/s23156666
[33] Usigbe MJ, Asem-Hiablie S, Uyeh DD, Iyiola O, Park T, Mallipeddi R. Enhancing resilience in agricultural production systems with AI-based technologies. Environment, Development and Sustainability. 2024 Sep;26(9):21955-83. https://doi.org/10.1007/s10668-023-03588-0
[34] Abaku EA, Edunjobi TE, Odimarha AC. Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience. International journal of science and technology research archive. 2024 Mar;6(1):092-107. https://doi.org/10.53771/ijstra.2024.6.1.0033
[35] Merhi MI, Harfouche A. Enablers of artificial intelligence adoption and implementation in production systems. International journal of production research. 2024 Aug 2;62(15):5457-71. https://doi.org/10.1080/00207543.2023.2167014
[36] Andreoni M, Lunardi WT, Lawton G, Thakkar S. Enhancing autonomous system security and resilience with generative AI: A comprehensive survey. IEEE Access. 2024 Aug 6;12:109470-93. https://doi.org/10.1109/ACCESS.2024.3439363
[37] Prashar N, Lakra HS, Shaw R, Kaur H. Urban Flood Resilience: A comprehensive review of assessment methods, tools, and techniques to manage disaster. Progress in Disaster Science. 2023 Dec 1;20:100299. https://doi.org/10.1016/j.pdisas.2023.100299
[38] Shaik T, Tao X, Higgins N, Li L, Gururajan R, Zhou X, Acharya UR. Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2023 Mar;13(2):e1485. https://doi.org/10.1002/widm.1485
[39] Ueda D, Kakinuma T, Fujita S, Kamagata K, Fushimi Y, Ito R, Matsui Y, Nozaki T, Nakaura T, Fujima N, Tatsugami F. Fairness of artificial intelligence in healthcare: review and recommendations. Japanese journal of radiology. 2024 Jan;42(1):3-15. https://doi.org/10.1007/s11604-023-01474-3
[40] Chandrasekera T, Hosseini Z, Perera U. Can artificial intelligence support creativity in early design processes?. International journal of architectural computing. 2025 Mar;23(1):122-36. https://doi.org/10.1177/14780771241254637
[41] Wang C, Wang H, Li Y, Dai J, Gu X, Yu T. Factors influencing university students' behavioral intention to use generative artificial intelligence: Integrating the theory of planned behavior and AI literacy. International Journal of Human-Computer Interaction. 2025 Jun 3;41(11):6649-71. https://doi.org/10.1080/10447318.2024.2383033
[42] Wang Q, Sun T, Li R. Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects. Energy & Environment. 2025 Mar;36(2):1005-37. https://doi.org/10.1177/0958305X231220520
[43] Koçak B, Ponsiglione A, Stanzione A, Bluethgen C, Santinha J, Ugga L, Huisman M, Klontzas ME, Cannella R, Cuocolo R. Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects. Diagnostic and interventional radiology. 2025 Mar 3;31(2):75. https://doi.org/10.4274/dir.2024.242854
[44] Wachter RM, Brynjolfsson E. Will generative artificial intelligence deliver on its promise in health care?. Jama. 2024 Jan 2;331(1):65-9. https://doi.org/10.1001/jama.2023.25054
[45] Kraemer MU, Tsui JL, Chang SY, Lytras S, Khurana MP, Vanderslott S, Bajaj S, Scheidwasser N, Curran-Sebastian JL, Semenova E, Zhang M. Artificial intelligence for modelling infectious disease epidemics. Nature. 2025 Feb 20;638(8051):623-35. https://doi.org/10.1038/s41586-024-08564-w
[46] Demaidi MN. Artificial intelligence national strategy in a developing country. Ai & Society. 2025 Feb;40(2):423-35. https://doi.org/10.1007/s00146-023-01779-x
[47] Pereira V, Hadjielias E, Christofi M, Vrontis D. A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review. 2023 Mar 1;33(1):100857. https://doi.org/10.1016/j.hrmr.2021.100857
[48] Cowls J, Tsamados A, Taddeo M, Floridi L. The AI gambit: leveraging artificial intelligence to combat climate change-opportunities, challenges, and recommendations. Ai & Society. 2023 Feb;38(1):283-307. https://doi.org/10.1007/s00146-021-01294-x
[49] Temsah A, Alhasan K, Altamimi I, Jamal A, Al-Eyadhy A, Malki KH, Temsah MH. DeepSeek in healthcare: revealing opportunities and steering challenges of a new open-source artificial intelligence frontier. Cureus. 2025 Feb 18;17(2). https://doi.org/10.7759/cureus.79221
[50] Wang Y, Wang L, Siau KL. Human-centered interaction in virtual worlds: A new era of generative artificial intelligence and metaverse. International Journal of Human-Computer Interaction. 2025 Jan 17;41(2):1459-501. https://doi.org/10.1080/10447318.2024.2316376
[51] Rane N, Mallick SK, Rane J. Adversarial Machine Learning for Cybersecurity Resilience and Network Security Enhancement. Available at SSRN 5337152. 2025 Jul 1. https://doi.org/10.2139/ssrn.5337152
[52] Adewusi AO, Komolafe AM, Ejairu E, Aderotoye IA, Abiona OO, Oyeniran OC. The role of predictive analytics in optimizing supply chain resilience: a review of techniques and case studies. International Journal of Management & Entrepreneurship Research. 2024 Mar 23;6(3):815-37. https://doi.org/10.51594/ijmer.v6i3.938
[53] Argyroudis SA, Mitoulis SA, Chatzi E, Baker JW, Brilakis I, Gkoumas K, Vousdoukas M, Hynes W, Carluccio S, Keou O, Frangopol DM. Digital technologies can enhance climate resilience of critical infrastructure. Climate Risk Management. 2022 Jan 1;35:100387. https://doi.org/10.1016/j.crm.2021.100387
[54] Ye X, Du J, Han Y, Newman G, Retchless D, Zou L, Ham Y, Cai Z. Developing human-centered urban digital twins for community infrastructure resilience: A research agenda. Journal of Planning Literature. 2023 May;38(2):187-99. https://doi.org/10.1177/08854122221137861
[55] Kazancoglu I, Ozbiltekin-Pala M, Mangla SK, Kumar A, Kazancoglu Y. Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19. Annals of Operations Research. 2023 Mar;322(1):217-40. https://doi.org/10.1007/s10479-022-04775-4
[56] Arji G, Ahmadi H, Avazpoor P, Hemmat M. Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature review. Informatics in medicine unlocked. 2023 Jan 1;38:101199. https://doi.org/10.1016/j.imu.2023.101199
[57] Gkontzis AF, Kotsiantis S, Feretzakis G, Verykios VS. Enhancing urban resilience: smart city data analyses, forecasts, and digital twin techniques at the neighborhood level. Future Internet. 2024 Jan 30;16(2):47. https://doi.org/10.3390/fi16020047
[58] Eyo-Udo N. Leveraging artificial intelligence for enhanced supply chain optimization. Open Access Research Journal of Multidisciplinary Studies. 2024 Apr;7(2):001-15. https://doi.org/10.53022/oarjms.2024.7.2.0044
[59] Khan MM, Bashar I, Minhaj GM, Wasi AI, Hossain NU. Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach. Sustainable and Resilient Infrastructure. 2023 Sep 3;8(5):453-69. https://doi.org/10.1080/23789689.2023.2165782
[60] Abdullayeva F. Cyber resilience and cyber security issues of intelligent cloud computing systems. Results in Control and Optimization. 2023 Sep 1;12:100268. https://doi.org/10.1016/j.rico.2023.100268
[61] Arévalo P, Jurado F. Impact of artificial intelligence on the planning and operation of distributed energy systems in smart grids. Energies. 2024 Sep 8;17(17):4501. https://doi.org/10.3390/en17174501
[62] Radanliev P. Cyber diplomacy: defining the opportunities for cybersecurity and risks from Artificial Intelligence, IoT, Blockchains, and Quantum Computing. Journal of Cyber Security Technology. 2025 Jan 2;9(1):28-78. https://doi.org/10.1080/23742917.2024.2312671
[63] Ojika FU, Onaghinor OS, Esan OJ, Daraojimba AI, Ubamadu BC. Developing a predictive analytics framework for supply chain resilience: Enhancing business continuity and operational efficiency through advanced software solutions. IRE Journals. 2023 Jan;6(7):517-9.
[64] Wang X, Mazumder RK, Salarieh B, Salman AM, Shafieezadeh A, Li Y. Machine learning for risk and resilience assessment in structural engineering: Progress and future trends. Journal of Structural Engineering. 2022 Aug 1;148(8):03122003. https://doi.org/10.1061/(ASCE)ST.1943-541X.0003392
[65] Dhanushkodi K, Thejas S. Ai enabled threat detection: Leveraging artificial intelligence for advanced security and cyber threat mitigation. IEEE access. 2024 Nov 8;12:173127-36. https://doi.org/10.1109/ACCESS.2024.3493957
[66] Dana LP, Salamzadeh A, Mortazavi S, Hadizadeh M, Zolfaghari M. Strategic futures studies and entrepreneurial resiliency: a focus on digital technology trends and emerging markets. Tec Empresarial. 2022 Jan 1;16(1):87-100.
[67] Ivanov D. The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research. 2023 Mar 4;61(5):1683-95. https://doi.org/10.1080/00207543.2022.2118892
[68] Wong LW, Tan GW, Ooi KB, Lin B, Dwivedi YK. Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis. International Journal of Production Research. 2024 Aug 2;62(15):5535-55. https://doi.org/10.1080/00207543.2022.2063089
[69] Han R, Acosta JN, Shakeri Z, Ioannidis JP, Topol EJ, Rajpurkar P. Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review. The lancet digital health. 2024 May 1;6(5):e367-73. https://doi.org/10.1016/S2589-7500(24)00047-5
[70] Medaglia R, Gil-Garcia JR, Pardo TA. Artificial intelligence in government: Taking stock and moving forward. Social Science Computer Review. 2023 Feb;41(1):123-40. https://doi.org/10.1177/08944393211034087
[71] Arrieta AB, Díaz-Rodríguez N, Del Ser J, Bennetot A, Tabik S, Barbado A, García S, Gil-López S, Molina D, Benjamins R, Chatila R. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion. 2020 Jun 1;58:82-115. https://doi.org/10.1016/j.inffus.2019.12.012
[72] Kaya F, Aydin F, Schepman A, Rodway P, Yetişensoy O, Demir Kaya M. The roles of personality traits, AI anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human-Computer Interaction. 2024 Jan 17;40(2):497-514. https://doi.org/10.1080/10447318.2022.2151730
[73] Qin C, Zhang L, Cheng Y, Zha R, Shen D, Zhang Q, Chen X, Sun Y, Zhu C, Zhu H, Xiong H. A comprehensive survey of artificial intelligence techniques for talent analytics. Proceedings of the IEEE. 2025 Jun 6. https://doi.org/10.1109/JPROC.2025.3572744
[74] Kaack LH, Donti PL, Strubell E, Kamiya G, Creutzig F, Rolnick D. Aligning artificial intelligence with climate change mitigation. Nature Climate Change. 2022 Jun;12(6):518-27. https://doi.org/10.1038/s41558-022-01377-7
[75] Hua H, Li Y, Wang T, Dong N, Li W, Cao J. Edge computing with artificial intelligence: A machine learning perspective. ACM Computing Surveys. 2023 Jan 13;55(9):1-35. https://doi.org/10.1145/3555802
[76] Jiang Y, Li X, Luo H, Yin S, Kaynak O. Quo vadis artificial intelligence?. Discover Artificial Intelligence. 2022 Mar 7;2(1):4. https://doi.org/10.1007/s44163-022-00022-8
[77] Kaul V, Enslin S, Gross SA. History of artificial intelligence in medicine. Gastrointestinal endoscopy. 2020 Oct 1;92(4):807-12. https://doi.org/10.1016/j.gie.2020.06.040
[78] Choudhary OP, Infant SS, Chopra H, Manuta N. Exploring the potential and limitations of artificial intelligence in animal anatomy. Annals of Anatomy-Anatomischer Anzeiger. 2025 Feb 1;258:152366. https://doi.org/10.1016/j.aanat.2024.152366
[79] Ooi KB, Tan GW, Al-Emran M, Al-Sharafi MA, Capatina A, Chakraborty A, Dwivedi YK, Huang TL, Kar AK, Lee VH, Loh XM. The potential of generative artificial intelligence across disciplines: Perspectives and future directions. Journal of Computer Information Systems. 2025 Jan 2;65(1):76-107. https://doi.org/10.1080/08874417.2023.2261010
[80] Raisch S, Fomina K. Combining human and artificial intelligence: Hybrid problem-solving in organizations. Academy of Management Review. 2025 Apr;50(2):441-64. https://doi.org/10.5465/amr.2021.0421
[81] Korteling JE, van de Boer-Visschedijk GC, Blankendaal RA, Boonekamp RC, Eikelboom AR. Human-versus artificial intelligence. Frontiers in artificial intelligence. 2021 Mar 25;4:622364. https://doi.org/10.3389/frai.2021.622364
[82] Berente N, Gu B, Recker J, Santhanam R. Managing artificial intelligence. MIS quarterly. 2021 Sep 1;45(3):1433-50. https://doi.org/10.25300/MISQ/2021/16274
[83] Huynh-The T, Pham QV, Pham XQ, Nguyen TT, Han Z, Kim DS. Artificial intelligence for the metaverse: A survey. Engineering Applications of Artificial Intelligence. 2023 Jan 1;117:105581. https://doi.org/10.1016/j.engappai.2022.105581
[84] Briganti G, Le Moine O. Artificial intelligence in medicine: today and tomorrow. Frontiers in medicine. 2020 Feb 5;7:509744. https://doi.org/10.3389/fmed.2020.00027
[85] Swiecki Z, Khosravi H, Chen G, Martinez-Maldonado R, Lodge JM, Milligan S, Selwyn N, Gašević D. Assessment in the age of artificial intelligence. Computers and Education: Artificial Intelligence. 2022 Jan 1;3:100075. https://doi.org/10.1016/j.caeai.2022.100075
[86] Khalid N, Qayyum A, Bilal M, Al-Fuqaha A, Qadir J. Privacy-preserving artificial intelligence in healthcare: Techniques and applications. Computers in Biology and Medicine. 2023 May 1;158:106848. https://doi.org/10.1016/j.compbiomed.2023.106848
[87] Resnik DB, Hosseini M. The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool. AI and Ethics. 2025 Apr;5(2):1499-521. https://doi.org/10.1007/s43681-024-00493-8
[88] Huang X, Zou D, Cheng G, Chen X, Xie H. Trends, research issues and applications of artificial intelligence in language education. Educational Technology & Society. 2023 Jan 1;26(1):112-31.
[89] Bearman M, Ryan J, Ajjawi R. Discourses of artificial intelligence in higher education: A critical literature review. Higher Education. 2023 Aug;86(2):369-85. https://doi.org/10.1007/s10734-022-00937-2
[90] Jarrahi MH, Askay D, Eshraghi A, Smith P. Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons. 2023 Jan 1;66(1):87-99. https://doi.org/10.1016/j.bushor.2022.03.002
[91] Chen RJ, Wang JJ, Williamson DF, Chen TY, Lipkova J, Lu MY, Sahai S, Mahmood F. Algorithmic fairness in artificial intelligence for medicine and healthcare. Nature biomedical engineering. 2023 Jun;7(6):719-42. https://doi.org/10.1038/s41551-023-01056-8
[92] Malhotra G, Kharub M. Elevating logistics performance: harnessing the power of artificial intelligence in e-commerce. The International Journal of Logistics Management. 2025 Jan 2;36(1):290-321. https://doi.org/10.1108/IJLM-01-2024-0046
[93] Klimova B, Pikhart M. Exploring the effects of artificial intelligence on student and academic well-being in higher education: A mini-review. Frontiers in Psychology. 2025 Feb 3;16:1498132. https://doi.org/10.3389/fpsyg.2025.1498132
[94] Shahzad MF, Xu S, Asif M. Factors affecting generative artificial intelligence, such as ChatGPT, use in higher education: An application of technology acceptance model. British Educational Research Journal. 2025 Apr;51(2):489-513. https://doi.org/10.1002/berj.4084
[95] Hicks SA, Strümke I, Thambawita V, Hammou M, Riegler MA, Halvorsen P, Parasa S. On evaluation metrics for medical applications of artificial intelligence. Scientific reports. 2022 Apr 8;12(1):5979. https://doi.org/10.1038/s41598-022-09954-8
[96] Barsha S, Munshi SA. Implementing artificial intelligence in library services: a review of current prospects and challenges of developing countries. Library Hi Tech News. 2024 Jan 18;41(1):7-10. https://doi.org/10.1108/LHTN-07-2023-0126
[97] Perifanis NA, Kitsios F. Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review. Information. 2023 Feb 2;14(2):85. https://doi.org/10.3390/info14020085
[98] Peres R, Schreier M, Schweidel D, Sorescu A. On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice. International Journal of Research in Marketing. 2023 Jun 1;40(2):269-75. https://doi.org/10.1016/j.ijresmar.2023.03.001
[99] Faiyazuddin M, Rahman SJ, Anand G, Siddiqui RK, Mehta R, Khatib MN, Gaidhane S, Zahiruddin QS, Hussain A, Sah R. The impact of artificial intelligence on healthcare: a comprehensive review of advancements in diagnostics, treatment, and operational efficiency. Health Science Reports. 2025 Jan;8(1):e70312. https://doi.org/10.1002/hsr2.70312
[100] Karataş F, Eriçok B, Tanrikulu L. Reshaping curriculum adaptation in the age of artificial intelligence: Mapping teachers' AI‐driven curriculum adaptation patterns. British Educational Research Journal. 2025 Feb;51(1):154-80. https://doi.org/10.1002/berj.4068
[101] McIntosh TR, Susnjak T, Liu T, Watters P, Xu D, Liu D, Halgamuge MN. From google gemini to openai q*(q-star): A survey on reshaping the generative artificial intelligence (ai) research landscape. Technologies. 2025 Jan 30;13(2):51. https://doi.org/10.3390/technologies13020051
[102] Feigerlova E, Hani H, Hothersall-Davies E. A systematic review of the impact of artificial intelligence on educational outcomes in health professions education. BMC Medical Education. 2025 Jan 27;25(1):129. https://doi.org/10.1186/s12909-025-06719-5
[103] Guo Y, Wang Y. Exploring the effects of artificial intelligence application on EFL students' academic engagement and emotional experiences: A Mixed‐Methods study. European Journal of Education. 2025 Mar;60(1):e12812. https://doi.org/10.1111/ejed.12812
Authors
Copyright (c) 2026 Sylvester Enomah, Obizue Mirian Ndidi, Nitin Liladhar Rane, Jayesh Rane (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2025 International Journal of Applied Resilience and Sustainability (IJARS) 
This work is licensed under a Creative Commons Attribution 4.0 International License.