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Integrating Big Data and Artificial Intelligence to Improve Business Growth

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Cyber Security Impact on Digitalization and Business Intelligence

Part of the book series: Studies in Big Data ((SBD,volume 117))

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Abstract

With the development of the Internet and technology, a revolution in information technology is taking place in recent years. Currently, In a diverse range of industries, including technology, business, healthcare, the automobile industry, and academia, artificial intelligence (AI) is becoming a major topic. Due to the amalgamation of big data and AI, every industry in the world has undergone dramatic change. Artificial intelligence (AI) is the imitation of human or physical intellect in computational processes such that they can be able to think and behave intelligently. A number of real-world challenges in the business sector can be solved by computer systems more correctly and effectively with AI, as compared to computational systems that are inflexible and embedded. Many business challenges, including selling, credit card scam recognition, algorithmic exchange, customer facility, portfolio management, merchandise recommendation corresponding to customer demands, and insurance underwriting, are solved and optimized using AI. This research work examines several AI and big data approaches that are now being utilized to promote corporate growth. AI and big data have completely changed the business sector.

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References

  • Abbas, A., Abdelsamea, M. M., & Gaber, M. M. (2020). Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Applied Intelligence

    Google Scholar 

  • 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. Effects Coronavirus Diseases Business Intelligence, 95.

    Google Scholar 

  • Ahmed, G., & Amiri, N. A. (2022). The transformational leadership of the founding leaders of the United Arab Emirates: Sheikh Zayed Bin Sultan Al Nahyan and Sheikh Rashid Bin Saeed Al Maktoum. International Journal of Innovation and Technology Management, 2, 1.

    Google Scholar 

  • 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 Innovation and Technology Management, 1, 65–78.

    Google Scholar 

  • Akhtar, A., Bakhtawar, B., & Akhtar, S. (2022). Extreme programming vs scrum: A comparison of agile models Asma Akhtar, Birra Bakhtawar, Samia Akhtar. International Journal of Innovation and Technology Management (IJTIM), 2(2), 2, 80–96.

    Google Scholar 

  • Al Suwaidi, F., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2021). The impact of innovation management in SMEs performance: A systematic review. Advances in Intelligent Systems and Computing.

    Google Scholar 

  • Alameeri, K. A., Alshurideh, M. T., & Al Kurdi, B. (2021). The effect of covid-19 pandemic on business systems’ innovation and entrepreneurship and how to cope with it: A theatrical view. Effects Coronavirus Diseases Business Intelligence, 334, 275–288.

    Article  Google Scholar 

  • Al-Hamad, M., Mbaidin, H., AlHamad, A., Alshurideh, M., Kurdi, B., & Al-Hamad, N. (2021). Investigating students’ behavioral intention to use mobile learning in higher education in UAE during Coronavirus-19 pandemic. International Journal of Data and Network Science, 5, 321–330.

    Article  Google Scholar 

  • 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 Joint European-US workshop on applications of invariance in computer vision (pp. 37–49), Springer.

    Google Scholar 

  • Alolayyan, M. N., Al-Rwaidan, R., Hamadneh, S., Ahmad, A., Alhamad, A., Al-Hawary, S. I. S., & Alshurideh, M. T. (2022). The mediating role of operational flexibility on the relationship between quality of health information technology and management capability. Uncertain Supply Chain Management, 10, 1131–1140.

    Article  Google Scholar 

  • Alsharari, N. (2021). Integrating blockchain technology with internet of things to efficiency. International Journal Technology Innovation Management, 1, 01–13.

    Google Scholar 

  • Alsharari, N. (2022). The implementation of enterprise resource planning (Erp) in the United Arab Emirates: A case of musanada corporation. International Journal Technology Innovation Management, 2, 1.

    Google Scholar 

  • Alshurideh, M., Al Kurdi, B., & Salloum, S.A. (2019a). Examining the main mobile learning system drivers’ effects: A mix empirical examination of both the expectation-confirmation model (ECM) and the technology acceptance model (TAM). In International conference on advanced intelligent systems and informatics (pp. 406–417), Springer.

    Google Scholar 

  • Alshurideh, M., Salloum, S. A., Al Kurdi, B., Al-Emran, M. (2019a) Factors affecting the social networks acceptance: An empirical study using PLS-SEM approach. In 8th international conference on software and computer applications (pp. 1–5), ACM

    Google Scholar 

  • Alshurideh, M., Salloum, S. A., Al Kurdi, B., Monem, A. A., & Shaalan, K. (2019c). Understanding the quality determinants that influence the intention to use the mobile learning platforms: A practical study. International Journal of Interactive Mobile Technologies, 13, 157–183.

    Article  Google Scholar 

  • 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, 1–15.

    Google Scholar 

  • AlSuwaidi, S. R., Alshurideh, M., Al Kurdi, B., & Aburayya, A. (2021). The main catalysts for collaborative R&D projects in Dubai industrial sector. In The International Conference on Artificial Intelligence and Computer Vision (pp. 795–806).

    Google Scholar 

  • Alzoubi, A. (2022). Machine learning for intelligent energy consumption in smart homes. International Journal of Computer Integrated Manufacturing, 2, 1.

    Google Scholar 

  • 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, 459–472.

    Article  Google Scholar 

  • 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, 130.

    Article  Google Scholar 

  • Alzoubi, H. M., & Yanamandra, R. (2020). Investigating the mediating role of information sharing strategy on agile supply chain in supply chain performance. Uncertain Supply Chain Management, 8, 273–284.

    Article  Google Scholar 

  • Alzoubi, H. M., & Yanamandra, R. (2022). Empirical investigation of mediating role of six sigma approach in rationalizing the COQ in service organizations. Operations and Supply Chain Management: an International Journal, 15, 2579–9363.

    Google Scholar 

  • Alzoubi, H., Joghee, S., & Dubey, A. (2020a). Decisions effectiveness of FDI investment biases at real estate industry: Empirical evidence from Dubai smart city projects. International Journal of Scientific & Technology Research, 9, 1245–1258.

    Google Scholar 

  • Alzoubi, H. M., Ahmed, G., Al-Gasaymeh, A., & Al Kurdi, B. (2020b). Empirical study on sustainable supply chain strategies and its impact on competitive priorities: The mediating role of supply chain collaboration. Management Scicence Letters, 10, 703–708.

    Article  Google Scholar 

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

  • Alzoubi, H. M, Agha, K., Alshurideh, M. T. (2021b). Measuring reliability and validity instruments of technologically driven cognitive intrusion towards work-life balance. In The international conference on artificial intelligence and computer vision (pp. 601–614), Springer.

    Google Scholar 

  • Alzoubi, H. M., Alnuaimi, M., Ajelat, D., & Alzoubi, A. A. (2021c). Towards intelligent organisations: An empirical investigation of learning orientation’s role in technical innovation. International Journal of Innovation and Learning, 29, 207–221.

    Article  Google Scholar 

  • Alzoubi, H. M., Alshurideh, M., & Ghazal, T. M. (2021d). Integrating BLE beacon technology with intelligent information systems IIS for operations’ performance: A managerial perspective. The International Conference on Artificial Intelligence and Computer Vision. https://doi.org/10.1007/978-3-030-76346-6_48,pp.527-538

    Article  Google Scholar 

  • Alzoubi, H. M., Ghazal, T. M., Ali, N., Ahmed, A., Anum, L., Abbas, S., Khan, M. A., & Ahmad, M. (2021e). Modelling supply chain information collaboration empowered with machine learning technique. Intelligent Automation & soft Computing, 30, 243–257.

    Google Scholar 

  • Alzoubi, H. M, Joghee, S., Alshurideh, M., & Al Kurdi, B. (2021f) The role of business intelligence systems on green supply chain management: Empirical analysis of FMCG in the UAE. In The international conference on artificial intelligence and computer vision (pp. 539–552), Springer.

    Google Scholar 

  • Alzoubi, H. M., Vij, M., Vij, A., & Hanaysha, J. R. (2021g). What leads guests to satisfaction and loyalty in UAE five-star hotels? AHP analysis to service quality dimensions. Enlightening Tourism, 11, 102–135.

    Article  Google Scholar 

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

    Google Scholar 

  • Alzoubi, H., Alshurideh, M., Kurdi, B. A., Akour, I., & Aziz, R. (2022a). 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, 449–460.

    Article  Google Scholar 

  • Alzoubi, H. M., Ali, A., Septyanto, A. W., Chaudhary, I., Hamadi, H. A., & Khan, Z.F., 2022b. Applied artificial intelligence as event horizon of cyber security. In 2022b International conference on business analytics for technology and security (ICBATS) (pp. 1–7)

    Google Scholar 

  • Alzoubi, H. M., Ali, N., Ghazal, T. M., Ahmed, A., Abbas, S., Khan, M. A., Farooq, U., Ahmad, M., & Khan, M. A. (2022c). Fusion-based supply chain collaboration using machine learning techniques. Intelligent Automation & Soft Computing, 31, 1671–1687.

    Article  Google Scholar 

  • Alzoubi, H. M., Alshurideh, M. T., Al Kurdi, B., Ghazal, T. M., Said, R. A., AlHamad, A. Q., Hamadneh, S., Sahawneh, N., & Al-kassem, A. H. (2022d). Fuzzy assisted human resource management for supply chain management issues. Annals of Operations Research, 2, 617–629.

    Google Scholar 

  • Alzoubi, H. M., In’airat, M., & Ahmed, G. (2022e). Investigating the impact of total quality management practices and Six Sigma processes to enhance the quality and reduce the cost of quality: the case of Dubai. International Journal of Business Excellence, 27, 94–109.

    Google Scholar 

  • Alzoubi, H. M., Elrehail, H., Hanaysha, J. R., Al-Gasaymeh, A., & Al-Adaileh, R. (2022f). The role of supply chain integration and agile practices in improving lead time during the COVID-19 Crisis. The international Journal of Service Science, management, engineering, and Technology, 13, 1–11.

    Google Scholar 

  • Alzoubi, H. M., Kurdi, B. A., Akour, I., & Alshurideh, M. T. (2022g). The effect of blockchain and smart inventory system on supply chain performance: Empirical evidence from retail industry. Uncertain Supply Chain Management, 10, 1111–1116.

    Article  Google Scholar 

  • Alzoubi, H. M., Rehman, A. U., Saleem, R. M., Shafi, Z., Imran, M., & Pradhan, M. (2022h) Analysis of income on the basis of occupation using data mining. In 2022h International Conference on Business Analytics for Technology and Security, ICBATS (pp. 1–4)

    Google Scholar 

  • Alzoubi, H. M., Zeeshan Zafar, S., Zhilin, Q., Mabrouk, F., Ramirez-Asis, E., Hishan, S. S., Michel, M., & Hishan, Ã. S. S. (2022i) Empirical linkages between ICT, tourism, and trade towards sustainable environment: evidence from BRICS countries.

    Google Scholar 

  • Alzoubi, H. M., El Khatib, M. M., Ahmed, G., Kazim, H. H., Falasi, S. A. A. Al, Mohammed, F., & Mulla, M. Al. (2022j). Digital transformation and SMART-the analytics factor. In 2022e International Conference on Business Analytics for Technology and Security, ICBATS (pp. 1–11).

    Google Scholar 

  • Alzoubi, H., Alnazer, N., & Alnuaimi, M. (2017). Analyzing the appropriate cognitive styles and its effect on strategic innovation in Jordanian Universities. International Journal of Business Excellence, 13, 127–140.

    Google Scholar 

  • Amrani, A. Z., Urquia, I., & Vallespir, B., 2022. Industry 4.0 technologies and lean production combination: A strategic methodology based on links quantification Anne Zouggar Amrani, Ilse Urquia Ortega, and Bruno Vallespir. International Journal of Innovation and Technology Management (IJTIM), 2(2), 2, 33–51.

    Google Scholar 

  • Asadullah, M., Khan, M. A., Abbas, S., Alyas, T., Saleem, M. A., & Fatima, A. (2020). Blind channel and data estimation using fuzzy logic empowered cognitive and social information-based particle swarm optimization (PSO). International Journal of Computational Intelligence Systems, 13, 400–408.

    Article  Google Scholar 

  • Asif, M., Abbas, S., Khan, M. A., Fatima, A., Khan, Muhammad Adnan, & Lee, S. W. (2021). MapReduce based intelligent model for intrusion detection using machine learning technique. Journal of King Saud University—Computer and Information Sciences.

    Google Scholar 

  • Ben-Abdallah, R., Shamout, M., & Alshurideh, M. (2022). Business development strategy model using EFE, IFE and IE analysis in a high-tech company: An empirical study. Academy of Strategic Management Journal, 21, 1–9.

    Google Scholar 

  • Chayal, N. M., & Patel, N.P. (2021). Review of machine learning and data mining methods to predict different cyberattacks, lecture notes on data engineering and communications technologies.

    Google Scholar 

  • Del, F., & Solfa, G. (2022). Impacts of cyber security and supply chain risk on digital operations: evidence from the uae pharmaceutical industry Federico Del Giorgio Solfa. International Journal of Innovation and Technology Management (IJTIM), 2(2), 2, 18–32.

    Google Scholar 

  • Edward Probir Mondol. (2022). The role of Vr games to minimize the obesity of video gamers. International Journal of Computer Integrated Manufacturing, 2, 1.

    Google Scholar 

  • Eli, T., & Hamou, L. A. S. (2022). Investigating the factors that influence students` choice of english studies as a major: The case of university of Nouakchott Al Aasriya Mauritania. International Journal Technology Innovation Managment, 2, 1.

    Google Scholar 

  • 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 Innovation and Technology Management, 1, 90–104.

    Google Scholar 

  • Areej Fatima, M., Khan, A., Sagheer Abbas, M. W. (2019). Evaluation of planet factors of smart city through multi-layer fuzzy logic (MFL) 11, 51–58.

    Google Scholar 

  • Fatima, S. A., Hussain, N., Balouch, A., Rustam, I., Saleem, M., & Asif, M. (2020). IoT enabled smart monitoring of coronavirus empowered with Fuzzy inference system. International Journal of Advance Research, Ideas and Innovations in Technology, 6, 188–194.

    Google Scholar 

  • Gai, K., Guo, J., Zhu, L., & Yu, S. (2020). Blockchain meets cloud computing: A survey. IEEE Communications Surveys and Tutorials, 22, 2009–2030.

    Article  Google Scholar 

  • Ghannajeh, A. M., AlShurideh, M., Zu’bi, M. F., Abuhamad, A., Rumman, G. A., Suifan, T., Akhorshaideh, A. H. O. (2015). A qualitative analysis of product innovation in Jordan’s pharmaceutical sector. European Scientific Journal, 11, 474–503.

    Google Scholar 

  • Ghazal, M., Dekhil, O., Naglah, A., Shaban, M., Taher, F., & Elbaz, A. (2019). Deep learning based method for computer aided diagnosis of diabetic retinopathy. In IST 2019—IEEE international conference on imaging systems and techniques, proceedings. Institute of Electrical and Electronics Engineers Inc.

    Google Scholar 

  • Ghazal, T. M., Al Shebli, K., Said, R. A., Taleb, N., Alshurideh, M. T., Alzoubi, H. M. (2021a). RTA’s employees’ perceptions toward the efficiency of artificial intelligence and big data utilization in providing smart services to the residents of Dubai. In The international conference on artificial intelligence and computer vision (pp. 573–585).

    Google Scholar 

  • Ghazal, T. M., Alzoubi, H. M., Al Batayneh, R. M., Taleb, N., Said, R. A., Alshurideh, M. T. (2021b). IT governance framework and smart services integration for future development of Dubai infrastructure utilizing AI and big data. In Its reflection on the Citizens standard of living (pp. 235–247)

    Google Scholar 

  • Ghazal, T. M, Alzoubi, H. M., Naqvi, R., Soomro, T. R., & Alshurideh, M. T., (2021c). 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).

    Google Scholar 

  • Ghazal, T. M., Aslam, M. S., Fatima, A., Said, R. A., Abbas, S., Khan, M. A., Siddiqui, S. Y., & Ahmad, M. (2021d). Energy-efficiency model for residential buildings using supervised machine learning algorithm. Intelligent Automation & Soft Computing, 30, 881–888.

    Article  Google Scholar 

  • Ghazal, T. M., Hasan, M. K., Alshurideh, M. T., Alzoubi, H. M., Ahmad, M., Akbar, S. S., Kurdi, B. A., & Akour, I. A. (2021e). IOT for smart cities: Machine learning approaches in smart healthcare—A review. Future Internet, 13, 8.

    Article  Google Scholar 

  • Ghazal, T. M., Khan, M. F., Said, R. A., Fatima, A., Abbas, S., Khan, M. A., Issa, G. F., Ahmad, M., Khan, M. A. (2021f). An iomt-enabled smart healthcare model to monitor elderly people using machine learning technique. Computational Intelligence and Neuroscience.

    Google Scholar 

  • Ghazal, T. M., Siddiqui, S. Y., Haider, A., Khan, M. A., Naseer, I., Abbas, S., Rahman, M., Khan, J. A., Ahmad, M., Hasan, M. K., Mohammed, A., & Ateeq, K. (2021g). IoMT cloud-based intelligent prediction of breast cancer stages empowered with deep learning. IEEE Access, 9, 146478–146491.

    Article  Google Scholar 

  • Ghazal, T. M., Alzoubi, H. M., Tellez Gaytan, J. C., Ateeq, K., Rafiuddin, A., Ahanger, T. A., Chaudhary, S., & Viju, G. K. (2022a). AI-based prediction of capital structure: Performance comparison of ANN SVM and LR models. Computational Intelligence and Neuroscience, 2022, 1–13.

    Google Scholar 

  • Ghazal, T. M., Bukhari, M. M., Abbas, S., Khan, M. A., Farooq, U., Wahbah, H., Ahmad, M., & Adnan, K. M. (2022b). An intelligent proposed model for task offloading in fog-cloud collaboration using logistics regression. Computational Intelligence and Neuroscience

    Google Scholar 

  • Ghazal, T. M., Noreen, S., Said, R. A., Khan, M. A., Siddiqui, S. Y., Abbas, S., Aftab, S., & Ahmad, M. (2022c) Energy demand forecasting using fused machine learning approaches. Intelligent Automation Soft Computing.

    Google Scholar 

  • Ghazal, T. M., Saleem, M., Abbas, S., Adnan Khan, M., Sahawneh, N., & Ahmad, M. (2022d). Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques. Egyptian Informatics Journal

    Google Scholar 

  • Taher M. Ghazal, et al., n.d. A review on security threats, vulnerabilities, and counter measures of 5G enabled Internet‐of‐Medical‐Things. Institution of Engineering and Technology, 16, 421–432.

    Google Scholar 

  • Ghosh, S., & Aithal, P. S. (2022). Behaviour of investment returns in the disinvestment. International Journal of Innovation and Technology Management (IJTIM), 2(2), 2, 65–79.

    Google Scholar 

  • Goria, S. (2022). A deck of cards to help track design trends to assist the. International Journal of Innovation and Technology Management (IJTIM), 2(2), 2, 1–17.

    Google Scholar 

  • Hamadneh, S., Keskin, E., Alshurideh, M., Al-Masri, Y., & Kurdi, B. (2021). The benefits and challenges of RFID technology implementation in supply chain: A case study from the Turkish construction sector. Uncertain Supply Chain Management, 9, 1071–1080.

    Google Scholar 

  • Hayajneh, N., Suifan, T., Obeidat, B., Abuhashesh, M., Alshurideh, M., & Masa’deh, R. (2021). The relationship between organizational changes and job satisfaction through the mediating role of job stress in the Jordanian telecommunication sector. Management Science Letters, 11, 315–326.

    Google Scholar 

  • Ihnaini, B., Khan, M. A., Khan, T. A., Abbas, S., Daoud, M. S., Ahmad, M., Khan, Adnan, M. (2021). A smart healthcare recommendation system for multidisciplinary diabetes patients with data fusion based on deep ensemble learning. Computational Intelligence and Neuroscience

    Google Scholar 

  • Iqbal, K., Khan, M. A., Abbas, S., & Hasan, Z. (2019). Time complexity analysis of GA-based variants uplink MC-CDMA system. SN Applied Science, 1, 1–8.

    Article  Google Scholar 

  • Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! the challenges and opportunities of artificial intelligence. Business Horizons, 63, 37–50.

    Article  Google Scholar 

  • Kasem, J., & Al-Gasaymeh, A. (2022). A cointegration analysis for the validity of purchasing power parity: Evidence from middle east Countries. International Journal of Innovation and Technology Management, 2, 1.

    Google Scholar 

  • 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 Innovation and Technology Management, 1, 79–89.

    Google Scholar 

  • Khan, Z. (2022) Used car price evaluation using three different variants of linear regression, 1, 40–49.

    Google Scholar 

  • Khatib, M. E., Mulla, A. A., & Ketbi, W. A. (2022). The role of blockchain in E-governance and decision-making in project and program management. Advance Internet Things, 12, 88–109.

    Article  Google Scholar 

  • Kurdi, B. A., Alshurideh, M., & Salloum, S. A. (2020a). Investigating a theoretical framework for e-learning technology acceptance. International Journal of Electrical and Computer Engineering, 10, 6484–6496.

    Google Scholar 

  • Kurdi, B. A., Alshurideh, M., Salloum, S. A., Obeidat, Z. M., & Al-dweeri, R. M. (2020b). An empirical investigation into examination of factors influencing university students’ behavior towards elearning acceptance using SEM approach. International Journal of Interactive Mobile Technologies, 14, 19–41.

    Article  Google Scholar 

  • Lee, K., Ramiz, P., Hanaysha, J., Alzoubi, H., & Alshurideh, M. (2022). 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 Managenemt 1–14.

    Google Scholar 

  • Ma, F., Sun, T., Liu, L., & Jing, H. (2020). Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network. Future Generation Computer Systems, 111, 17–26.

    Article  Google Scholar 

  • 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 Innovation and Technology Management, 1, 14–41.

    Google Scholar 

  • Muneer, S., Rasool, & M. A. (2022). A systematic review : Explainable Artificial Intelligence (XAI) based disease prediction 1, 1–6.

    Google Scholar 

  • Muneer, S., & Raza, H. (2022). An IoMT enabled smart healthcare model to monitor elderly people using Explainable Artificial Intelligence ( EAI ) 1, 16–22.

    Google Scholar 

  • Naseer, I. (2022). Removal of the noise and blurriness using global & local image enhancement equalization techniques 1.

    Google Scholar 

  • Nasim, S. F., Ali, M. R., & Kulsoom, U. (2022). Artificial intelligence incidents & ethics a narrative review. International Journal of Technology, Innovation and Management, 2, 52–64.

    Google Scholar 

  • Ratkovic, N. (2022). Improving home security using blockchain. International Journal of Computer Integrated Manufacturing, 2, 1.

    Google Scholar 

  • Rui, L. S., Khai, L. L., & Alzoubi, H. M. (2022). Determinants of emerging technology adoption for safety among construction businesses. Academy of Strategic Management Journal, 21, 1–20.

    Google Scholar 

  • Saad Masood Butt. (2022). Management and treatment of type 2 diabetes. International Journal of Computer Integrated Manufacturing, 2, 1.

    Google Scholar 

  • Saleem, M., Khan, M. A., Abbas, S., Asif, M., Hassan, M., & Malik, J. A. (2019). Intelligent FSO Link for communication in natural disasters empowered with fuzzy inference system. In: 2019 international conference on electrical, communication, and computer engineering (ICECCE) ICECCE 2019 (pp. 1–6).

    Google Scholar 

  • Salloum, S. A., Alshurideh, M., Elnagar, A., & Shaalan, K. (2020a). Mining in educational data: Review and future directions. Advances in Intelligent Systems and Computing.

    Google Scholar 

  • Salloum, Said A, Alshurideh, M., Elnagar, A., & Shaalan, K., (2020b). Mining in educational data: review and future directions. In Joint European-US workshop on applications of invariance in computer vision (pp. 92–102). Springer.

    Google Scholar 

  • Salloum, S. A., Alshurideh, M., Elnagar, A., Shaalan, K. (2020c). Machine learning and deep learning techniques for cybersecurity: A review. Advances in Intelligent Systems and Computing.

    Google Scholar 

  • Sharma, P., Jindal, R., & Borah, M. D. (2021). Blockchain technology for cloud storage. ACM Computing Surveys, 53, 1–32.

    Article  Google Scholar 

  • Tabassum, N., Ditta, A., Alyas, T., Abbas, S., Alquhayz, H., Mian, N. A., & Khan, M. A. (2021). Prediction of cloud ranking in a hyperconverged cloud ecosystem using machine learning. Computers, Materials and Continua, 67, 3129–3141.

    Article  Google Scholar 

  • Tariq, E., Alshurideh, M., Akour, I., & Al-Hawary, S. (2022). The effect of digital marketing capabilities on organizational ambidexterity of the information technology sector. International Journal of Data and Network Science, 6, 401–408.

    Article  Google Scholar 

  • Ubaid, M., Arfa, U., Muhammad, H., Muhammad, A., Farooq, S., & Saleem, M. (2022). Intelligent intrusion detection system for apache web server empowered with machine learning approaches 1.

    Google Scholar 

  • Victoria, V. (2022). Impact of process visibility and work stress to improve service quality: Empirical evidence from Dubai retail industry. International Journal of Innovation and Technology Management, 2, 1.

    Google Scholar 

  • Yousuf, H., Zainal, A. Y., Alshurideh, M., & Salloum, S. A. (2021). Artificial intelligence models in power system analysis. Studies in Computational Intelligence.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Business Administration, College of Business, Al Ain University, Abu Dhabi Campus, P.O. Box 112612, Abu Dhabi, UAE

    Mohammed T. Nuseir

  2. Department of Marketing, School of Business, The University of Jordan, Amman, 11942, Jordan

    Muhammad Turki Alshurideh & Samer Hamadneh

  3. Department of Management, College of Business Administration, University of Sharjah, Sharjah, 27272, United Arab Emirates

    Muhammad Turki Alshurideh

  4. School of Business, Skyline University College, Sharjah, UAE

    Haitham M. Alzoubi

  5. Applied Science Research Center, Applied Science Private University, Amman, 11937, Jordan

    Haitham M. Alzoubi

  6. Department of Marketing, Faculty of Business, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan

    Barween Al Kurdi

  7. Department of Management, College of Business Administration, University of Sharjah, 27272, Sharjah, United Arab Emirates

    Ahmad AlHamad

Authors
  1. Mohammed T. Nuseir
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  2. Muhammad Turki Alshurideh
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  3. Haitham M. Alzoubi
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  4. Barween Al Kurdi
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  5. Samer Hamadneh
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  6. Ahmad AlHamad
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Corresponding author

Correspondence to Muhammad Turki Alshurideh .

Editor information

Editors and Affiliations

  1. School of Business, Skyline University College, Sharjah, United Arab Emirates

    Haitham M. Alzoubi

  2. Department of Marketing, School of Business, The University of Jordan, Amman, Jordan

    Muhammad Turki Alshurideh

  3. School of Information Technology, Skyline University College, Sharjah, United Arab Emirates

    Taher M. Ghazal

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Nuseir, M.T., Alshurideh, M.T., Alzoubi, H.M., Al Kurdi, B., Hamadneh, S., AlHamad, A. (2024). Integrating Big Data and Artificial Intelligence to Improve Business Growth. In: Alzoubi , H.M., Alshurideh, M.T., Ghazal, T.M. (eds) Cyber Security Impact on Digitalization and Business Intelligence. Studies in Big Data, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-031-31801-6_4

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