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Modeling a Sustainable Decision Support System for Banking Environments Using Rough Sets: A Case Study of the Egyptian Arab Land Bank

Author

Listed:
  • Mohamed A. Elnagar

    (Studies and Environmental Research, Damanhour University, Damanhour 22514, Egypt)

  • Jaber Abdel Aty

    (Faculty of Agriculture, Damanhour University, Damanhour 22514, Egypt)

  • Abdelghafar M. Elhady

    (Deanship of Postgraduate Studies and Research, Umm Al-Qura University, Makkah 21955, Saudi Arabia)

  • Samaa M. Shohieb

    (Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt)

Abstract

This study addresses the vast amount of information held by the banking sector, especially regarding opportunities in tourism development, production, and large residential projects. With advancements in information technology and databases, data mining has become essential for banks to optimally utilize available data. From January 2023 to July 2024, data from the Egyptian Arab Land Bank (EALB) were analyzed using data mining techniques, including rough set theory and the Weka version 3.0 program. The aim was to identify potential units for targeted marketing, improve customer satisfaction, and contribute to sustainable development goals. By integrating sustainability principles into financing approaches, this research promotes green banking, encouraging environmentally friendly and socially responsible investments. A survey of EALB customers assessed their interest in purchasing homes under the real estate financing program. The results were analyzed with GraphPad Prism version 9.0, with 95% confidence intervals and an R-squared value close to 1, and we identified 13 units (43% of the total units) as having the highest marketing potential. This study highlights data mining’s role in enhancing marketing for the EALB’s residential projects. Combining sustainable financing with data insights promotes green banking, aligning with customer preferences and boosting satisfaction and profitability.

Suggested Citation

  • Mohamed A. Elnagar & Jaber Abdel Aty & Abdelghafar M. Elhady & Samaa M. Shohieb, 2025. "Modeling a Sustainable Decision Support System for Banking Environments Using Rough Sets: A Case Study of the Egyptian Arab Land Bank," IJFS, MDPI, vol. 13(1), pages 1-24, February.
    • Handle: RePEc:gam:jijfss:v:13:y:2025:i:1:p:27-:d:1592842
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    References listed on IDEAS

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    1. Juniati Gunawan & Paulina Permatasari & Umesh Sharma, 2022. "Exploring sustainability and green banking disclosures: a study of banking sector," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11153-11194, September.
    2. Tooraj Karimi & Arvin Hojati & Jeffrey Yi-Lin Forrest, 2022. "A new methodology for sustainability measurement of banks based on rough set theory," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 415-431, March.
    3. Stephen Acheampong & Tetyana Pimonenko & Oleksii Lyulyov, 2023. "Sustainable Marketing Performance of Banks in the Digital Economy: The Role of Customer Relationship Management," Virtual Economics, The London Academy of Science and Business, vol. 6(1), pages 19-37, March.
    4. Killemsetty, Namesh & Johnson, Michael & Patel, Amit, 2022. "Understanding housing preferences of slum dwellers in India: A community-based operations research approach," European Journal of Operational Research, Elsevier, vol. 298(2), pages 699-713.
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