Journal of Intelligent Systems and Internet of Things

Journal DOI

https://doi.org/10.54216/JISIoT

Submit Your Paper

2690-6791ISSN (Online) 2769-786XISSN (Print)

Volume 9 , Issue 2 , PP: 51-64, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making

Mustafa Nazar Dawood 1 * , Mohammed Ayad Alkhafaji 2 , Ahmed Hussian 3 , Hussein Alaa Diame 4 , Naseer Ali Hussien 5 , Sahar Yassine 6 , Venkatesan Rajinikanth 7

  • 1 Computer Technologies Engineering, Al-Turath University College, Baghdad, Iraq - (mustafanazar1990@gmail.com)
  • 2 Department of Medical Devices Engineering Technologies, National University of Science and Technology, Dhi Qar, Nasiriyah, Iraq - (mohammed.alkhafaji@nust.edu.iq)
  • 3 Medical instruments engineering techniques, Al-farahidi University, Baghdad, Iraq - (Ahmed Hussian@uoalfarahidi.edu.iq)
  • 4 Technical Computer Engineering Department, Al-Kunooze University College, Basrah, Iraq - (Hussein.Alaa@kunoozu.edu.Iq)
  • 5 Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq - (naseerali@alayen.edu.iq)
  • 6 Department of Applied Data Science, Noroff University College, Kristiansand, Norway - (sahar.yassine@noroff.no)
  • 7 Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India - (sahar.yassine@noroff.no; v.rajinikanth@ieee.org)
  • Doi: https://doi.org/10.54216/JISIoT.090204

    Received: February 18, 2023 Revised: May 09, 2023 Accepted: September 01, 2023
    Abstract

    Risk Management is an important task that helps to monitor the business application to eliminate the political, financial, cultural, and social consequences. The organization's risk decision is affected by several characteristics, such as lack of accountability and risk decision-making. The difficulties are resolved by applying the Machine-Learning related Business Decision Making Approach (ML-BDMA). The created framework helps to reduce the difficulties in decision-making while managing the organization's risk. The Business Decision Making process works along with the Optimistic Predictive Techniques (OPT) that are used to identify the risk which leads to attaining the business objective. This process categorizes the risk according to the qualitative characteristics of business data. The system's effectiveness was evaluated using the experimental result in which the system ensures a 98.93% performance rate, 92.25% reliability rate, 93.47% authenticity rate, 91.11% risk management rate, and 97.77% development rate while making a business decision.

    Keywords :

    Risk management , Business Decision Making (BDM) , Optimistic Predictive Technique (OPT) , reliability rate and development rate.

    References

    [1]    Abiad, M., Kadry, S., Ionescu, S., &Niculescu, A. (2019). Customers' Perception of Telecommunication Services. FAIMA Business & Management Journal, 7(2), 51-62.

    [2]    Alazzam, M.B., Basari, A.S.H., Sibghatullah, A.S., Ramli, M.R., Jaber, M.M., and Naim, M.H., 2016. Pilot study of EHRs acceptance in Jordan hospitals by UTAUT2. Journal of Theoretical and Applied Information Technology, 85(3).

    [3]    Alazab, A., Bevinakoppa, S., &Khraisat, A. (2018, November). Maximizing competitive advantage on E-business websites: A data mining approach. In 2018 IEEE Conference on Big Data and Analytics (ICBDA) (pp. 111-116). IEEE.

    [4]    Kumar, N. (2020). Call for Special Issue Papers: Internet of Things Data Visualization for Business Intelligence: Deadline for Manuscript Submission: January 15, 2021. Big Data, 8(5), 452-453.

    [5]    Elhoseny, M., Hassan, M. K., & Singh, A. K. (2020). Special issue on cognitive big data analytics for business intelligence applications: Towards performance improvement.

    [6]    Chang, C. H. J., & Chou, L. T. L. (2016). Auditor Choice under Client Information Uncertainty. Review of Integrative Business and Economics Research, 5(4), 329-370.

    [7]    Itskhoki, O., & Moll, B. (2019). Optimal development policies with financial frictions. Econometrica87(1), 139-173.

    [8]    Rahman, A.U., Saeed, M., Mohammed, M.A., Jaber, M.M., and Garcia-Zapirain, B., 2022. A Novel Fuzzy Parameterized Fuzzy Hypersoft Set and Riesz Summability Approach Based Decision Support System for Diagnosis of Heart Diseases. Diagnostics, 12(7).

    [9]    Ganin, A. A., Quach, P., Panwar, M., Collier, Z. A., Keisler, J. M., Marchese, D., &Linkov, I. (2020). Multicriteria decision framework for cybersecurity risk assessment and management. Risk Analysis40(1), 183-199.

    [10] Schlüter, F. F., Hetterscheid, E., & Henke, M. (2019). A simulation-based evaluation approach for digitalization scenarios in smart supply chain risk management. Journal of Industrial Engineering and Management Science2019(1), 179-206.

    [11] Erdogan, S. A., Šaparauskas, J., &Turskis, Z. (2019). A multi-criteria decision-making model to choose the best option for sustainable construction management. Sustainability11(8), 2239.

    [12] Zhou, J., Deng, L., & Gibson, P. (2020). SMEs' changing perspective on international trade credit risk management in China: a cultural values evolution approach. Asia Pacific Business Review, 1-21.

    [13] Rostamzadeh, Reza, Mehdi Keshavarz Ghorabaee, Kannan Govindan, Ahmad Esmaeili, and Hossein Bodaghi Khajeh Nobar. "Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach." Journal of Cleaner Production 175 (2018): 651-669.

    [14] Drljevic, N., Aranda, D. A., &Stantchev, V. (2020). Perspectives on risks and standards that affect the requirements engineering of blockchain technology. Computer Standards & Interfaces69, 103409.

    [15] Jaber, M.M., 2015. Barriers faces telemedicine implementation in the developing countries : toward building iraqi telemedicine framework. ARPN Journal of Engineering and Applied Sciences, 10(4), pp.1562–1567.

    [16] Rana, T., Wickramasinghe, D., &Bracci, E. (2019). New development: Integrating risk management in management control systems—lessons for public sector managers. Public Money & Management39(2), 148-151.

    [17] Hosseini, S. A., &Smadi, O. (2021). How prediction accuracy can affect the decision-making process in the pavement management system. Infrastructures6(2), 28.

    [18] Poza-Casado, I., Cardoso, V. E., Almeida, R. M., Meiss, A., Ramos, N. M., & Padilla-Marcos, M. Á. (2020). Residential buildings airtightness frameworks: A review of the main databases and setups in Europe and North America. Building and Environment, 107221.

    [19] Willumsen, P., Oehmen, J., Stingl, V., &Geraldi, J. (2019). Value creation through project risk management. International Journal of Project Management37(5), 731-749.

    [20] Fioriti, D., Pintus, S., Lutzemberger, G., &Poli, D. (2020). An economic multi-objective approach to design off-grid microgrids: A support for business decision making. Renewable Energy159, 693-704.

    [21] De Couck, M., Caers, R., Musch, L., Fliegauf, J., Giangreco, A., &Gidron, Y. (2019). How breathing can help you make better decisions: Two studies on the effects of breathing patterns on heart rate variability and decision-making in business cases. International Journal of Psychophysiology139, 1-9.

    [22] Nesrine M. Roumieh, Sonia Ahmed, Adopting Risk Management Professional Methodologies as an Effective Strategy to Protect Heritage Sites in Syria, International Journal of BIM and Engineering Science, Vol. 5 , No. 1 , (2022) : 61-72 (Doi   :  https://doi.org/10.54216/IJBES.050104)

    [23] Ahmed Abdelmonem, Development of the hybrid MCDM model for cloud computing adoption strategic management, Fusion: Practice and Applications, Vol. 3 , No. 2 , (2021) : 73-82 (Doi   :  https://doi.org/10.54216/FPA.030203)

    [24] Song, W., & Zhu, J. (2019). A multistage risk decision-making method for normal cloud model considering behaviour characteristics. Applied Soft Computing78, 393-406.

    [25] Zheng, K., Zhang, Z., Chen, Y., & Wu, J. (2019). Blockchain adoption for information sharing: risk decision-making in the spacecraft supply chain. Enterprise Information Systems, 1-22.

    [26] Mohamed Abdel-Basset, Mohamed Elhoseny, Intelligent Feature Subset Selection with Machine Learning based Risk Management for DAS Prediction, Journal of Cybersecurity and Information Management, Vol. 8 , No. 1 , (2021) : 08-16 (Doi   :  https://doi.org/10.54216/JCIM.080101)

    [27] Rania Abdel Ghaffar, Saad Metawa, A Proposed Framework for Effective Risk Management in Egyptian Sustainable Development Projects, American Journal of Business and Operations Research, Vol. 0 , No. 1 , (2019) : 26-42 (Doi   :  https://doi.org/10.54216/AJBOR.000102)

    Cite This Article As :
    Nazar, Mustafa. , Ayad, Mohammed. , Hussian, Ahmed. , Alaa, Hussein. , Ali, Naseer. , Yassine, Sahar. , Rajinikanth, Venkatesan. Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making. Journal of Intelligent Systems and Internet of Things, vol. , no. , 2023, pp. 51-64. DOI: https://doi.org/10.54216/JISIoT.090204
    Nazar, M. Ayad, M. Hussian, A. Alaa, H. Ali, N. Yassine, S. Rajinikanth, V. (2023). Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making. Journal of Intelligent Systems and Internet of Things, (), 51-64. DOI: https://doi.org/10.54216/JISIoT.090204
    Nazar, Mustafa. Ayad, Mohammed. Hussian, Ahmed. Alaa, Hussein. Ali, Naseer. Yassine, Sahar. Rajinikanth, Venkatesan. Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making. Journal of Intelligent Systems and Internet of Things , no. (2023): 51-64. DOI: https://doi.org/10.54216/JISIoT.090204
    Nazar, M. , Ayad, M. , Hussian, A. , Alaa, H. , Ali, N. , Yassine, S. , Rajinikanth, V. (2023) . Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making. Journal of Intelligent Systems and Internet of Things , () , 51-64 . DOI: https://doi.org/10.54216/JISIoT.090204
    Nazar M. , Ayad M. , Hussian A. , Alaa H. , Ali N. , Yassine S. , Rajinikanth V. [2023]. Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making. Journal of Intelligent Systems and Internet of Things. (): 51-64. DOI: https://doi.org/10.54216/JISIoT.090204
    Nazar, M. Ayad, M. Hussian, A. Alaa, H. Ali, N. Yassine, S. Rajinikanth, V. "Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making," Journal of Intelligent Systems and Internet of Things, vol. , no. , pp. 51-64, 2023. DOI: https://doi.org/10.54216/JISIoT.090204