{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T14:37:14Z","timestamp":1774967834185,"version":"3.50.1"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031123818","type":"print"},{"value":"9783031123825","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-12382-5_101","type":"book-chapter","created":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T10:50:27Z","timestamp":1675853427000},"page":"1845-1867","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Machine Learning Price Prediction During and Before COVID-19 and Consumer Buying Behavior"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1641-9813","authenticated-orcid":false,"given":"Tauqeer","family":"Faiz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9638-8542","authenticated-orcid":false,"given":"Rakan","family":"Aldmour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gouher","family":"Ahmed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7336-381X","authenticated-orcid":false,"given":"Muhammad","family":"Alshurideh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ch.","family":"Paramaiah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,9]]},"reference":[{"key":"101_CR1","unstructured":"Abbas, W. (2020). Coronavirus impact: E-commerce businesses grow faster in Dubai. Dubai: Khaleejtimes, 7(3), 1\u201318."},{"key":"101_CR2","unstructured":"Abdelnour, A., Babbitz, T., & Moss, S. (2020). \u201cPricing in a pandemic: Navigating the COVID-19 crisis,\u201d Mckinsey Company) URL https\/\/www. mckinsey. com\/business-functions\/marketing-and-sales\/our-insights\/pricing-in-a-pandemic-navigating-the-covid-19-crisis Assess. May, vol. 20, p. 2020."},{"issue":"1","key":"101_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2196\/24032","volume":"7","author":"I Akour","year":"2021","unstructured":"Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using machine learning algorithms to predict people\u2019s intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach. JMIR Medical Education, 7(1), 1\u201317.","journal-title":"JMIR Medical Education"},{"key":"101_CR4","doi-asserted-by":"crossref","unstructured":"Al Kurdi, B. A., Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. A. (2021, March). The effects of subjective norm on the intention to use social media networks: an exploratory study using PLS-SEM and machine learning approach. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 581\u2013592). Springer, Cham.","DOI":"10.1007\/978-3-030-69717-4_55"},{"key":"101_CR5","doi-asserted-by":"crossref","unstructured":"Al Suwaidi, F., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020). The impact of innovation management in SMEs performance: A systematic review. In International Conference on Advanced Intelligent Systems and Informatics (pp. 720\u2013730). Springer, Cham.","DOI":"10.1007\/978-3-030-58669-0_64"},{"key":"101_CR6","doi-asserted-by":"crossref","unstructured":"Al-Dmour, A., Al-Dmour, H., Al-Barghuthi, R., Al-Dmour, R., & Alshurideh, M. T. (2021a). Factors influencing the adoption of E-payment during pandemic outbreak (COVID-19): Empirical evidence. The Effect of Coronavirus Disease (COVID-19) on Business Intelligence, 334, 133\u2013154.","DOI":"10.1007\/978-3-030-67151-8_8"},{"key":"101_CR7","doi-asserted-by":"crossref","unstructured":"Al-Dmour, R., AlShaar, F., Al-Dmour, H., Masa\u2019deh, R., & Alshurideh, M. T. (2021b). The effect of service recovery justices strategies on online customer engagement via the role of \u201cCustomer Satisfaction\u201d During the Covid-19 Pandemic: An empirical study. The Effect of Coronavirus Disease (COVID-19) on Business Intelligence, 334, 325\u2013346.","DOI":"10.1007\/978-3-030-67151-8_19"},{"issue":"10","key":"101_CR8","first-page":"759","volume":"13","author":"A Al-Gasaymeh","year":"2020","unstructured":"Al-Gasaymeh, A., Almahadin, A., Alshurideh, M., Al-Zoubid, N., & Alzoubi, H. (2020). The role of economic freedom in economic growth: Evidence from the MENA region. International Journal of Innovation Create Chang, 13(10), 759\u2013774.","journal-title":"International Journal of Innovation Create Chang"},{"issue":"3","key":"101_CR9","doi-asserted-by":"publisher","first-page":"311","DOI":"10.5267\/j.ijdns.2021.6.002","volume":"5","author":"M AlHamad","year":"2021","unstructured":"AlHamad, M., Akour, I., Alshurideh, M., Al-Hamad, A., Kurdi, B., & 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\u2013320.","journal-title":"International Journal of Data and Network Science"},{"key":"101_CR10","unstructured":"Al-Jarrah, I., Al-Zu\u2019bi, M. F., Jaara, O., & Alshurideh, M. (2012). Evaluating the impact of financial development on economic growth in Jordan. International Research Journal of Finance and Economics, 94, 123\u2013139."},{"key":"101_CR11","doi-asserted-by":"crossref","unstructured":"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. The Effect of Coronavirus Disease (COVID-19) on Business Intelligence, 367\u2013384.","DOI":"10.1007\/978-3-030-67151-8_21"},{"key":"101_CR12","doi-asserted-by":"crossref","unstructured":"Alshurideh, M., Al Kurdi, B., Salloum, S. A., Arpaci, I., & Al-Emran, M. (2020). Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms. Interactive Learning Environments, 1\u201315.","DOI":"10.1080\/10494820.2020.1826982"},{"key":"101_CR13","doi-asserted-by":"crossref","unstructured":"Alshurideh, M. T., Kurdi, B. A., AlHamad, A. Q., Salloum, S. A., Alkurdi, S., Dehghan, A., .. & Masa\u2019deh, R. E. (2021). Factors affecting the use of smart mobile examination platforms by universities\u2019 postgraduate students during the COVID 19 pandemic: An empirical study. In Informatics, 8 2), 1\u201321. Multidisciplinary Digital Publishing Institute.","DOI":"10.3390\/informatics8020032"},{"issue":"3","key":"101_CR14","doi-asserted-by":"publisher","first-page":"579","DOI":"10.5267\/j.uscm.2020.2.005","volume":"8","author":"HM Alzoubi","year":"2020","unstructured":"Alzoubi, H. M., & Inairat, M. (2020). 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\u2013588.","journal-title":"Uncertain Supply Chain Management"},{"issue":"2","key":"101_CR15","first-page":"300","volume":"6","author":"J Ambrose","year":"2020","unstructured":"Ambrose, J. (2020). Over a barrel: How oil prices dropped below zero. Guard, 6(2), 300\u2013310.","journal-title":"Guard"},{"issue":"3","key":"101_CR16","first-page":"255","volume":"11","author":"NF Assad","year":"2020","unstructured":"Assad, N. F., & Alshurideh, M. T. (2020). Investment in context of financial reporting quality: A systematic review. WAFFEN-UND Kostumkd. Journal, 11(3), 255\u2013286.","journal-title":"WAFFEN-UND Kostumkd. Journal"},{"issue":"2","key":"101_CR17","first-page":"169","volume":"8","author":"H Bakir","year":"2018","unstructured":"Bakir, H., Chniti, G., & Zaher, H. (2018). E-Commerce price forecasting using LSTM neural networks. International Journal of Machtch Learning Computer, 8(2), 169\u2013174.","journal-title":"International Journal of Machtch Learning Computer"},{"key":"101_CR18","unstructured":"Barr, G. (2020). New ministerial resolution relating to employment and COVID-19, vol. 7, no. 2, pp. 1\u201312, 2020."},{"issue":"2","key":"101_CR19","first-page":"1","volume":"4","author":"A Beklemysheva","year":"2019","unstructured":"Beklemysheva, A. (2019). Why use python for AI and machine learning. Machine Learning, 4(2), 1\u201318.","journal-title":"Machine Learning"},{"key":"101_CR20","unstructured":"Chen, J., & Fan, X. (2010). Effectiveness analysis of promotions in supermarket Chain. In 2010 Second International Conference on Communication Systems, Networks and Applications, vol. 2, pp. 42\u201343."},{"key":"101_CR21","doi-asserted-by":"crossref","unstructured":"Dass, M., Jank, W., & Shmueli, G. (2010). Dynamic price forecasting in simultaneous online art auctions. In Marketing Intelligent Systems using Soft Computing, Springer, pp. 417\u2013445.","DOI":"10.1007\/978-3-642-15606-9_23"},{"key":"101_CR22","volume-title":"Electric energy systems theory: An introduction","author":"OI Elgerd","year":"1982","unstructured":"Elgerd, O. I. (1982). Electric energy systems theory: An introduction. McGraw-Hill Book Company."},{"key":"101_CR23","doi-asserted-by":"crossref","unstructured":"Faiz, T. (2019). Multi-approaches on scrubbing data for medium-sized enterprises. In 2019 International Conference on Digitization (ICD), 2019, pp. 75\u201386.","DOI":"10.1109\/ICD47981.2019.9105739"},{"key":"101_CR24","doi-asserted-by":"crossref","unstructured":"Ghazal, T. M., Hasan, M. K., Alshurideh, M. T., Alzoubi, H. M., Ahmad, M., Akbar, S. S., .. & Akour, I. A. (2021). IoT for smart cities: Machine learning approaches in smart healthcare\u2014A review. Future Internet, 13(8), 218, 1\u201319.","DOI":"10.3390\/fi13080218"},{"key":"101_CR25","unstructured":"Mucedola, M. P. (2021). Impact assessment and forecast through 2019\u20132025 for enery, food & feverage, retail & e-commerce. Dublin: Research and Market."},{"key":"101_CR26","doi-asserted-by":"crossref","unstructured":"Nuseir, M. T., El-Refae, G. A., & Aljumah, A. (2021a). The e-learning of students and university\u2019s brand image (Post COVID-19): How successfully Al-Ain University have embraced the paradigm shift in digital learning. In The Effect of Coronavirus Disease (COVID-19) on Business Intelligence (pp. 171\u2013187). Springer, Cham.","DOI":"10.1007\/978-3-030-67151-8_10"},{"key":"101_CR27","doi-asserted-by":"crossref","unstructured":"Nuseir, M. T., Al Kurdi, B. H., Alshurideh, M. T., & Alzoubi, H. M. (2021b). Gender Discrimination at Workplace: Do Artificial Intelligence (AI) and Machine Learning (ML) Have Opinions About It. In The International Conference on Artificial Intelligence and Computer Vision (pp. 301\u2013316). Springer, Cham.","DOI":"10.1007\/978-3-030-76346-6_28"},{"key":"101_CR28","doi-asserted-by":"crossref","unstructured":"Salloum, S. A., Alshurideh, M., Elnagar, A., & Shaalan, K. (2020, April). Machine learning and deep learning techniques for cybersecurity: a review. In The International Conference on Artificial Intelligence and Computer Vision (pp. 50\u201357). Springer, Cham.","DOI":"10.1007\/978-3-030-44289-7_5"},{"key":"101_CR29","doi-asserted-by":"crossref","unstructured":"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. The Effect of Coronavirus Disease (COVID-19) on Business Intelligence, 334, 257\u2013274.","DOI":"10.1007\/978-3-030-67151-8_15"},{"key":"101_CR30","unstructured":"Taryam, M., Alawadhi, D., Aburayya, A., Albaqa'een, A., Alfarsi, A., Makki, I., .. & 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), 1384\u20131395."},{"key":"101_CR31","doi-asserted-by":"crossref","unstructured":"Tziridis, K., Kalampokas, T., Papakostas, G. A., & Diamantaras, K. I. (2017). Airfare prices prediction using machine learning techniques. In 2017 25th European Signal Processing Conference (EUSIPCO), 2017, pp. 1036\u20131039.","DOI":"10.23919\/EUSIPCO.2017.8081365"}],"container-title":["Studies in Computational Intelligence","The Effect of Information Technology on Business and Marketing Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-12382-5_101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T15:55:21Z","timestamp":1675871721000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-12382-5_101"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031123818","9783031123825"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-12382-5_101","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"value":"1860-949X","type":"print"},{"value":"1860-9503","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}