nach oben

Erschienen in:

2023 | OriginalPaper | Buchkapitel

Covid19 Unknown Risks—Using AI for Disaster Recovery

verfasst von : Mounir El khatib, Fatma Beshwari, Maryam Beshwari, Ayesha Beshwari, Haitham M. Alzoubi, Muhammad Alshurideh

Erschienen in: The Effect of Information Technology on Business and Marketing Intelligence Systems

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Artificial intelligence (AI) is a potentially powerful tool to mitigate the unknown unknown risk. Unknown-Unknown risks are unknown risks and accordingly unknown consequences. This research’s objective is investigating the impact of AI on mitigating unknown unknown risk. For all six cases analyzed, it was possible to extract that unknown risk is hard to be reported in advance. Therefore, since the outbreak of the Coronavirus COVID-19, organizations have been eager to use AI in response to the consequences caused by this pandemic. As a result, AI played a significant role in rapid response, decision-making, early prediction, automated processes, and detection and tracking. This means AI has the potential to be used as a solution to mitigate the post event impacts and study the patterns for future prediction.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Unknown-Unknown Risk Mitigation Through AI: Case of Covid-19

Nächstes Kapitel The Role and Impact of Big Data in Organizational Risk Management

Aburayya, A., Alshurideh, M., Alawadhi, D., Alfarsi, A., Taryam, M., & Mubarak, S. (2020a). An investigation of the effect of lean six sigma practices on healthcare service quality and patient satisfaction: Testing the mediating role of service quality in Dubai primary healthcare sector. Journal of Advanced Research in Dynamical and Control Systems, 12(8), 56–72.

Aburayya, A., Alshurideh, M., Al Marzouqi, A., Al Diabat, O., Alfarsi, A., Suson, R., Bash, M., & Salloum, S. A. (2020b). An empirical examination of the effect of TQM practices on hospital service quality: An assessment study in uae hospitals. Systematic Reviews in Pharmacy, 11(9). https://doi.org/10.31838/srp.2020a.9.51

Aburayya, A., Alshurideh, M., Albqaeen, A., Alawadhi, D., & Al A’yadeh, I. (2020c). An investigation of factors affecting patients waiting time in primary health care centers: An assessment study in Dubai. Management Science Letters, 10(6). https://doi.org/10.5267/j.msl.2019.11.031

Ahmad, A., Alshurideh, M. T., Al Kurdi, B. H., & Salloum, S. A. (2021). Factors impacts organization digital transformation and organization decision making during Covid19 pandemic. In Studies in systems, decision and control (vol. 334). https://doi.org/10.1007/978-3-030-67151-8_6

Akhtar, A., Akhtar, S., Bakhtawar, B., Kashif, A. A., Aziz, N., & Javeid, M. S. (2021). COVID-19 detection from CBC using machine learning techniques. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 65–78. https://doi.org/10.54489/ijtim.v1i2.22

Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using machine learning algorithms to predict people’s intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach. JMIR Medical Education, 7(1), 1–17.CrossRef

Al Ali, A. (2021). The impact of information sharing and quality assurance on customer service at UAE banking sector. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 01–17. https://doi.org/10.54489/ijtim.v1i1.10

Al Shebli, K., Said, R. A., Taleb, N., Ghazal, T. M., Alshurideh, M. T., & Alzoubi, H. M. (2021). RTA’s employees’ perceptions toward the efficiency of artificial intelligence and big data utilization in providing smart services to the residents of Dubai. The International Conference on Artificial Intelligence and Computer Vision, 573–585.

Alhamad, A. Q. M., Akour, I., Alshurideh, M., Al-Hamad, A. Q., Kurdi, B. A., & Alzoubi, H. (2021). Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM. International Journal of Data and Network Science, 5(3), 311–320. https://doi.org/10.5267/j.ijdns.2021.6.002CrossRef

AlHamad, A., Alshurideh, M., Alomari, K., Kurdi, B., Alzoubi, H., Hamouche, S., & Al-Hawary, S. (2022). The effect of electronic human resources management on organizational health of telecommuni-cations companies in Jordan. International Journal of Data and Network Science, 6(2), 429–438

Alhashmi, S. F. S., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020). A systematic review of the factors affecting the artificial intelligence implementation in the health care sector. In Advances in Intelligent Systems and Computing (Vol. 1153). AISC. https://doi.org/10.1007/978-3-030-44289-7_4

Ali, N., Ahmed, A., Anum, L., Ghazal, T. M., Abbas, S., Khan, M. A., Alzoubi, H. M., & Ahmad, M. (2021). Modelling supply chain information collaboration empowered with machine learning technique. Intelligent Automation and Soft Computing, 30(1), 243–257. https://doi.org/10.32604/iasc.2021.018983

Ali, N., M. Ghazal, T., Ahmed, A., Abbas, S., A. Khan, M., Alzoubi, H., Farooq, U., Ahmad, M., & Adnan Khan, M. (2022). Fusion-based supply chain collaboration using machine learning techniques. Intelligent Automation & Soft Computing, 31(3), 1671–1687. https://doi.org/10.32604/iasc.2022.019892

Aljumah, A., Nuseir, M. T., & Alshurideh, M. T. (2021). The impact of social media marketing communications on consumer response during the COVID-19: Does the brand equity of a university matter? In Studies in systems, decision and control (Vol. 334). https://doi.org/10.1007/978-3-030-67151-8_21

Allam, Z., Dey, G., & Jones, D. S. (2020). Artificial Intelligence (AI) provided early detection of the coronavirus (COVID-19) in China and will influence future urban health policy internationally. In AI 2020, (Vol. 1, pp. 156–165). https://doi.org/10.3390/AI1020009

Alles, M. (2009). Governance in the age of unknown unknowns. International Journal of Disclosure and Governance, 6(2), 85–88. https://doi.org/10.1057/JDG.2009.2

Alnazer, N. N., Alnuaimi, M. A., & Alzoubi, H. M. (2017). Analysing the appropriate cognitive styles and its effect on strategic innovation in Jordanian universities. International Journal of Business Excellence, 13(1), 127–140. https://doi.org/10.1504/IJBEX.2017.085799CrossRef

Alnuaimi, M., Alzoubi, H. M., Ajelat, D., & Alzoubi, A. A. (2021). Towards intelligent organisations: An empirical investigation of learning orientation’s role in technical innovation. International Journal of Innovation and Learning, 29(2), 207–221. https://doi.org/10.1504/IJIL.2021.112996CrossRef

AlShamsi, M., Salloum, S. A., Alshurideh, M., & Abdallah, S. (2021). Artificial intelligence and blockchain for transparency in governance. In Artificial intelligence for sustainable development: Theory, practice and future applications (pp. 219–230). Springer.

Alsharari, N. (2021). Integrating blockchain technology with internet of things to efficiency. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 1–13.

Alshurideh, M. (2014). The factors predicting students’ satisfaction with universities’ healthcare clinics’ services. Dirasat. Administrative Sciences, 41(2), 451–464.CrossRef

Alshurideh, M., Gasaymeh, A., Ahmed, G., Alzoubi, H., & Kurd, B. A. (2020). Loyalty program effectiveness: Theoretical reviews and practical proofs. Uncertain Supply Chain Management, 8(3). https://doi.org/10.5267/j.uscm.2020.2.003

Alshurideh, M.T., Al Kurdi, B., AlHamad, A. Q., Salloum, S. A., Alkurdi, S., Dehghan, A., Abuhashesh, M., & Masa’deh, R. (2021a). Factors affecting the use of smart mobile examination platforms by universities’ postgraduate students during the COVID-19 pandemic: An empirical study. Informatics, 8(2). https://doi.org/10.3390/informatics8020032

Alshurideh, M. T., Hassanien, A. E., & Masa’deh, R. (2021b). The effect of coronavirus disease (COVID-19) on business intelligence. Springer.

Alshurideh, M. T., Al Kurdi, B., Alzoubi, H. M., Ghazal, T. M., Said, R. A., AlHamad, A. Q., Hamadneh, S., Sahawneh, N., & Al-kassem, A. H. (2022). Fuzzy assisted human resource management for supply chain management issues. Annals of Operations Research, 1–19.

Alzoubi, H., & Ahmed, G. (2019). Do TQM practices improve organisational success? A case study of electronics industry in the UAE. International Journal of Economics and Business Research, 17(4), 459–472. https://doi.org/10.1504/IJEBR.2019.099975CrossRef

Alzoubi, H. M., & Aziz, R. (2021). Does emotional intelligence contribute to quality of strategic decisions? The mediating role of open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 130. https://doi.org/10.3390/joitmc7020130CrossRef

Alzoubi, H. M., & Yanamandra, R. (2020). Investigating the mediating role of information sharing strategy on agile supply chain. Uncertain Supply Chain Management, 8(2), 273–284. https://doi.org/10.5267/j.uscm.2019.12.004CrossRef

Alzoubi, H., Alshurideh, M., Kurdi, B., Akour, I., & Aziz, R. (2022). Does BLE technology contribute towards improving marketing strategies, customers’ satisfaction and loyalty? The role of open innovation. International Journal of Data and Network Science, 6(2), 449–460.CrossRef

Alzoubi, H. M., Ahmed, G., Al-Gasaymeh, A., & Al Kurdi, B. (2020a). Empirical study on sustainable supply chain strategies and its impact on competitive priorities: The mediating role of supply chain collaboration. Management Science Letters, 10(3), 703–708. https://doi.org/10.5267/j.msl.2019.9.008

Alzoubi, H., Alshurideh, M., Kurdi, B. A., & Inairat, M. (2020b). Do perceived service value, quality, price fairness and service recovery shape customer satisfaction and delight? A practical study in the service telecommunication context. Uncertain Supply Chain Management, 8(3), 579–588. https://doi.org/10.5267/j.uscm.2020.2.005CrossRef

Alzoubi, H. M., Vij, M., Vij, A., & Hanaysha, J. R. (2021). What leads guests to satisfaction and loyalty in UAE five-star hotels? AHP analysis to service quality dimensions. Enlightening Tourism, 11(1), 102–135. https://doi.org/10.33776/et.v11i1.5056

Alzoubi, A. (2021a). The impact of process quality and quality control on organizational competitiveness at 5-star hotels in Dubai. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 54–68. https://doi.org/10.54489/ijtim.v1i1.14

Alzoubi, A. (2021b). Renewable Green hydrogen energy impact on sustainability performance. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 94–110. https://doi.org/10.54489/ijcim.v1i1.46

Aziz, N., & Aftab, S. (2021). Data mining framework for nutrition ranking: Methodology: SPSS modeller. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 85–95.

Benvie, A., Wayne, E., & Arnold, M. (2020). Watson assistant continuous improvement best practices.

BlueDot. (n.d.). BlueDot: Outbreak intelligence platform. https://bluedot.global/

Blumenthal, D., Fowler, E. J., Abrams, M., & Collins, S. R. (2020). Covid-19—implications for the health care system. New England Journal of Medicine, 383(15), 1483–1488. https://doi.org/10.1056/nejmsb2021088

Cabarkapa, S., Nadjidai, S. E., Murgier, J., & Ng, C. H. (2020). The psychological impact of COVID-19 and other viral epidemics on frontline healthcare workers and ways to address it: A rapid systematic review. Brain, Behavior, & Immunity—Health, 8, 100144. https://doi.org/10.1016/j.bbih.2020.100144

Cruz, A. (2021). Convergence between blockchain and the internet of things. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 35–56.

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2019). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/S11747-019-00696-0

Eli, T. (2021). Students perspectives on the use of innovative and interactive teaching methods at the University of Nouakchott Al Aasriya, Mauritania: English department as a case study. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 90–104.

Facebook. (n.d.). Community standards enforcement | transparency center. Facebook Transparency Report .

Farouk, M. (2021). The universal artificial intelligence efforts to face coronavirus COVID-19. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 77–93. https://doi.org/10.54489/ijcim.v1i1.47

FERMA. (2019). Artificial intelligence applied to risk management.

Folsom, J. (2020). Distance learning during the COVID-19 pandemic.

Ghazal, T. M., Hasan, M. K., Alshurideh, M. T., Alzoubi, H. M., Ahmad, M., Akbar, S. S., Al Kurdi, B., & Akour, I. A. (2021). IoT for smart cities: Machine learning approaches in smart healthcare—a review. Future Internet, 13(8), 218. https://doi.org/10.3390/fi13080218CrossRef

Graham-Cumming, J. (2012). Alan turing: Intelligence and life | New Scientist.

Guergov, S., & Radwan, N. (2021). Blockchain convergence: Analysis of issues affecting IoT, AI and blockchain. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 1–17. https://doi.org/10.54489/ijcim.v1i1.48

Hajikazemi, S., Ekambaram, A., Andersen, B., & Zidane, Y.J.-T. (2016). The black swan—knowing the unknown in projects. Procedia - Social and Behavioral Sciences, 226, 184–192. https://doi.org/10.1016/J.SBSPRO.2016.06.178CrossRef

Hamadneh, S., Pedersen, O., & Al Kurdi, B. (2021). An investigation of the role of supply chain visibility into the Scottish bood supply chain. Journal of Legal, Ethical and Regulatory Issues, 24(Special Issue 1), 1–12.

Hanaysha, J. R., Al-Shaikh, M. E., Joghee, S., & Alzoubi, H. (2021a). Impact of innovation capabilities on business sustainability in small and medium enterprises. FIIB Business Review. https://doi.org/10.1177/23197145211042232CrossRef

Hanaysha, J. R., Al Shaikh, M. E., & Alzoubi, H. M. (2021b). Importance of marketing mix elements in determining consumer purchase decision in the retail market. International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 12(6), 56–72.

Hanford, M. (2005). Defining program governance and structure. Developer Works, IBM, April, 1–12.

Harahsheh, A. A., Houssien, A. M. A., & Alshurideh, M. T. (2021). The effect of transformational leadership on achieving effective decisions in the presence of psychological capital as an intermediate variable in private Jordanian. In The effect of coronavirus disease (COVID-19) on business intelligence (pp. 243–221). Springer Nature.

He, Y. (2019). The importance of artificial intelligence to economic growth. Korean Artificial Intelligence, 7(1), 17–22. https://doi.org/10.24225/kjai.2019.7.1.17

Hejazi, H. D., Khamees, A. A., Alshurideh, M., & Salloum, S. A. (2021). Arabic text generation: deep learning for poetry synthesis. In Advances in intelligent systems and computing (Vol. 1339). https://doi.org/10.1007/978-3-030-69717-4_11

Hillson, D. (2016). Project Management.com—Why some risks turn into surprises. Risk Insights from The Risk Doctor Blog.

Jia, P. (2019). Spatial lifecourse epidemiology. The Lancet Planetary Health, 3(2), e57–e59. https://doi.org/10.1016/S2542-5196(18)30245-6CrossRef

Jia, P., & Yang, S. (2020). China needs a national intelligent syndromic surveillance system. Nature Medicine, 26(7), 990–990. https://doi.org/10.1038/s41591-020-0921-5

Jin, C., Chen, W., Cao, Y., Xu, Z., Tan, Z., Zhang, X., Deng, L., Zheng, C., Zhou, J., Shi, H., & Feng, J. (2020). Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Nature Communications, 11(1), 1–14. https://doi.org/10.1038/s41467-020-18685-1

Joghee, S., Alzoubi, H. M., & Dubey, A. R. (2020). Decisions effectiveness of FDI investment biases at real estate industry: Empirical evidence from Dubai smart city projects. International Journal of Scientific and Technology Research, 9(3), 3499–3503.

Kashif, A. A., Bakhtawar, B., Akhtar, A., Akhtar, S., Aziz, N., & Javeid, M. S. (2021). Treatment response prediction in hepatitis C patients using machine learning techniques. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 79–89. https://doi.org/10.54489/ijtim.v1i2.24

Keshavarzi Arshadi, A., Webb, J., Salem, M., Cruz, E., Calad-Thomson, S., Ghadirian, N., Collins, J., Diez-Cecilia, E., Kelly, B., Goodarzi, H., & Yuan, J. S. (2020). Artificial intelligence for COVID-19 drug discovery and vaccine development. Frontiers in Artificial Intelligence, 3, 65. https://doi.org/10.3389/FRAI.2020.00065

Khamees, A. A., Hejazi, H. D., Alshurideh, M., & Salloum, S. A. (2021). Classifying audio music genres using CNN and RNN. In Advances in intelligent systems and computing (Vol. 1339). https://doi.org/10.1007/978-3-030-69717-4_31

Khan, M. A. (2021). Challenges facing the application of IoT in medicine and healthcare. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 39–55. https://doi.org/10.54489/ijcim.v1i1.32

Kim, S. D. (2012). Characterizing unknown unknowns.

Klein, A. Z., Magge, A., O’Connor, K., Amaro, J. I. F., Weissenbacher, D., & Hernandez, G. G. (2021). Toward using Twitter for tracking COVID-19: A natural language processing pipeline and exploratory data set. Journal of Medical Internet Research, 23(1), e25314.CrossRef

Kreuzhuber, K. (2020). How AI, big data and machine learning can be used against the Corona virus–ars electronica blog. ARS Electronica Blog.

Kurdi, B., Al Elrehail, H., Alzoubi, H. M., Alshurideh, M., & Al-adaileh, R. (2021). The interplay among HRM practices, job satisfaction and intention to leave: an empirical investigation. Journal of Legal, Ethical and Regulatory Issues, 24(1), 1–14.

Laghi, A. (2020). Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence. The Lancet Digital Health, 2(5), e225. https://doi.org/10.1016/S2589-7500(20)30079-0CrossRef

Lee, K., Azmi, N., Hanaysha, J., Alzoubi, H., & Alshurideh, M. (2022a). The effect of digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry. Uncertain Supply Chain Management, 10(2), 495–510.CrossRef

Lee, K., Romzi, P., Hanaysha, J., Alzoubi, H., & Alshurideh, M. (2022b). Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia. Uncertain Supply Chain Management, 10(2), 537–550.CrossRef

Lee, C., & Ahmed, G. (2021). Improving IoT privacy, data protection and security concerns. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 18–33. https://doi.org/10.54489/ijtim.v1i1.12

Lin, L., & Hou, Z. (2020). Combat COVID-19 with artificial intelligence and big data. Journal of Travel Medicine, 27(5), 1–8.CrossRef

Lord, P., Martin, K., Atkinson, M., & Mitchell, H. (2009). Narrowing the gap in outcomes: What is the relationship between leadership and governance? 8.

Martínez, D. M., & Fernández-Rodríguez, J. C. (2015). Artificial intelligence applied to project success: A literature review. IJIMAI, 3(5), 77–84.CrossRef

Mayo Clinic. (2019). Herd immunity and COVID-19 (coronavirus): What you need to know—Mayo Clinic.

Mehmood, T., Alzoubi, H. M., Alshurideh, M., Al-Gasaymeh, A., & Ahmed, G. (2019). Schumpeterian entrepreneurship theory: Evolution and relevance. Academy of Entrepreneurship Journal, 25(4), 1–10

Mehmood, T. (2021). Does information technology competencies and fleet management practices lead to effective service delivery? Empirical evidence from E-commerce industry. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 14–41.

Microsoft. (2020). Adaptive biotechnologies and microsoft launch groundbreaking immune CODE database to share populationwide immune response to the COVID-19 virus—stories. Microsoft News Center.

Miller, D. (2021). The best practice of teach computer science students to use paper prototyping. International Journal of Technology, Innovation and Management (IJTIM), 1(2), 42–63. https://doi.org/10.54489/ijtim.v1i2.17

Mondol, E. P. (2021). The impact of block chain and smart inventory system on supply chain performance at retail industry. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 56–76. https://doi.org/10.54489/ijcim.v1i1.30

Motoda, H., & Yoshida, K. (1998). Machine learning techniques to make computers easier to use. Artificial Intelligence, 103(1–2), 295–321.CrossRefMATH

Nafday, A. M. (2009). Strategies for managing the consequences of black swan events. Leadership and Management in Engineering, 9(4), 191–197. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000036CrossRef

Naqvi, R., Soomro, T. R., Alzoubi, H. M., Ghazal, T. M., & Alshurideh, M. T. (2021). The nexus between big data and decision-making: A study of big data techniques and technologies. In The international conference on artificial intelligence and computer vision (pp. 838–853).

Nuseir, M. T., Aljumah, A., & Alshurideh, M. T. (2021). How the business inelligence in the new startup performance in UAE during COVID-19: The mediating role of innovativeness. In Studies in systems, decision and control (Vol. 334). https://doi.org/10.1007/978-3-030-67151-8_4

Obaid, A. J. (2021). Assessment of smart home assistants as an IoT. International Journal of Computations, Information and Manufacturing (IJCIM), 1(1), 18–36. https://doi.org/10.54489/ijcim.v1i1.34

Pham, Q.-V., Nguyen, D. C., Huynh-The, T., Hwang, W.-J., & Pathirana, P. N. (2021). Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: A survey on the state-of-the-arts. IEEE Access, 8, 130820–130839. https://doi.org/10.1109/access.2020.3009328CrossRef

Pietsch, B. (2020). Central and Southern California have 0 percent I.C.U. capacity—the New York times. https://www.nytimes.com/2020/12/26/world/central-and-southern-california-icu-capacity.html

Preethika, T., Vaishnavi, P., Agnishwar, J., Padmanathan, K., Umashankar, S., Annapoorani, S., Subash, M., & Aruloli, K. (2020). Artificial intelligence and drones to combat COVID-19. https://doi.org/10.20944/PREPRINTS202006.0027.V1

Radwan, N., & Farouk, M. (2021). The growth of internet of things (IoT) in the management of healthcare issues and healthcare policy development. International Journal of Technology, Innovation and Management (IJTIM), 1(1), 69–84. https://doi.org/10.54489/ijtim.v1i1.8

Rogers, A. (n.d.). Singapore was ready for Covid-19—other countries, Take Note | WIRED.

Shah, S. F., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020). The impact of the behavioral factors on investment decision-making: A systemic review on financial institutions. In International conference on advanced intelligent systems and informatics (pp. 100–112).

Shah, S. F., Alshurideh, M. T., Al-Dmour, A., & Al-Dmour, R. (2021). Understanding the influences of cognitive biases on financial decision making during normal and COVID-19 pandemic situation in the United Arab Emirates. In Studies in systems, decision and control (Vol. 334). https://doi.org/10.1007/978-3-030-67151-8_15

Sharma, A., Gupta, G., Ahmad, T., Krishan, K., & Kaur, B. (2019). Next generation agents (synthetic agents): Emerging threats and challenges in detection, protection, and decontamination. In Handbook on biological warfare preparedness (pp. 217–256). https://doi.org/10.1016/B978-0-12-812026-2.00012-8

Shukla Shubhendu, S., & Vijay, J. (2013). Applicability of artificial intelligence in different fields of life. International Journal of Scientific Engineering and Research (IJSER), 1(1), 28–35.

Statt, N. (2020). How facebook is using AI to combat COVID-19 misinformation and detect ‘hateful memes’—the verge. THE VERGE.

Taryam, M., Alawadhi, D., Aburayya, A., Albaqa’een, A., Alfarsi, A., Makki, I., Rahmani, N., Alshurideh, M., & Salloum, S. A. (2020). Effectiveness of not quarantining passengers after having a negative COVID-19 PCR test at arrival to dubai airports. Systematic Reviews in Pharmacy, 11(11). https://doi.org/10.31838/srp.2020.11.197

Tavakoli, M., Carriere, J., & Torabi, A. (2020). Robotics, smart wearable technologies, and autonomous intelligent systems for healthcare during the COVID‐19 pandemic: An analysis of the state of the art and future vision. Advanced Intelligent Systems, 2(7), 2000071. https://doi.org/10.1002/aisy.202000071

Turing, A., & Braithwaite, R. (2004). Can automatic calculating machines be said to think? The Essential Turing. https://doi.org/10.1093/OSO/9780198250791.003.0020CrossRef

UAE Government. (n.d.). Movement permits during sanitisation drive—the official portal of the UAE government.

Yousuf, H., Zainal, A. Y., Alshurideh, M., & Salloum, S. A. (2021). Artificial intelligence models in power system analysis. In Artificial intelligence for sustainable development: Theory, practice and future applications (pp. 231–242). Springer.

Zeng, Z., Chen, P. J., & Lew, A. A. (2020). From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, 22(3), 724–734. https://doi.org/10.1080/14616688.2020.1762118

Zhang, D., Peng, G., & Yao, Y. (2019). Artificial intelligence or intelligence augmentation? Unravelling the Debate through an Industry-level analysis. In Proceedings of the 23rd pacific asia conference on information systems: Secure ICT platform for the 4th industrial revolution, PACIS 2019. https://doi.org/10.2139/SSRN.3315946

Titel: Covid19 Unknown Risks—Using AI for Disaster Recovery
verfasst von: Mounir El khatib
Fatma Beshwari
Maryam Beshwari
Ayesha Beshwari
Haitham M. Alzoubi
Muhammad Alshurideh
Verlag: Springer International Publishing
Buch: The Effect of Information Technology on Business and Marketing Intelligence Systems
Print ISBN: 978-3-031-12381-8

Electronic ISBN: 978-3-031-12382-5

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-12382-5_116

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner