IDEAS home Printed from https://ideas.repec.org/a/bdu/ogjppm/v2y2023i1p21-30id1956.html

The Impact of Big Data on Purchasing and Procurement in Egypt

Author

Listed:
  • Layla Sayed

Abstract

Purpose: The study sought to analyze the impact of big data on purchasing and procurement in Egypt. Methodology: The research was conducted entirely on computers. Secondary data, or data that doesn't require actual observation in the field, are the focus of desk research. Because it requires little more than an executive's time, telephone rates, and directories, desk research is generally seen as a low-cost strategy in comparison to field research. As a result, the research used data that had already been collected and reported. This secondary data was readily available via the internet's digital library and scholarly articles. Findings: The results show that in conclusion, big data has had a significant impact on the way businesses operate, particularly when it comes to purchasing and procurement. It provides businesses with valuable insights into their customers' purchasing patterns and preferences. Big data is having a significant impact on purchasing and procurement in Egypt. It is enabling businesses, organizations and individuals to make more informed decisions, enhance efficiency and reduce costs Unique Contribution to Theory, Practice and Policy: Future research in the field of purchasing and procurement may be grounded in the behavioral theory and the resource dependency theory. Policymakers, researchers and academics from all across the world will all stand to gain from this study's findings. Executives in charge of national purchasing and procurement initiatives will also use the study's findings to boost the big data performance across the board. The research suggests that the purchasing and procurement sector should implement big data policies to boost the effectiveness of their primary operations and activities.

Suggested Citation

  • Layla Sayed, 2023. "The Impact of Big Data on Purchasing and Procurement in Egypt," Global Journal of Purchasing and Procurement Management, IPRJB, vol. 2(1), pages 21-30.
    • Handle: RePEc:bdu:ogjppm:v:2:y:2023:i:1:p:21-30:id:1956
    as

    Download full text from publisher

    File URL: https://iprjb.org/journals/GJPPM/article/view/1956
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abirami Radhakrishnan & Dessa J. David & Sri V. Sridharan & John Stephen Davis, 2018. "Re-examining supply chain integration: a resource dependency theory perspective," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 30(1), pages 1-30.
    2. Lobna AbdelLatif & Mohamed Zaky, 2013. "The Macro-Micro Nexus and Public Procurement Support Policy for SMEs: The Case of Pharmaceuticals in Egypt," Working Papers 818, Economic Research Forum, revised Dec 2013.
    3. Dmitry Ivanov, 2017. "Simulation-based single vs. dual sourcing analysis in the supply chain with consideration of capacity disruptions, big data and demand patterns," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 11(1), pages 24-43.
    4. Maroufkhani, Parisa & Tseng, Ming-Lang & Iranmanesh, Mohammad & Ismail, Wan Khairuzzaman Wan & Khalid, Haliyana, 2020. "Big data analytics adoption: Determinants and performances among small to medium-sized enterprises," International Journal of Information Management, Elsevier, vol. 54(C).
    5. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
    6. Joash Mageto, 2021. "Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    7. Shijing Yang & Yikun Su & Wei Wang & Kaicheng Hua, 2019. "Research on Developers’ Green Procurement Behavior Based on the Theory of Planned Behavior," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    8. Boone, Tonya & Ganeshan, Ram & Jain, Aditya & Sanders, Nada R., 2019. "Forecasting sales in the supply chain: Consumer analytics in the big data era," International Journal of Forecasting, Elsevier, vol. 35(1), pages 170-180.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luay Jum’a & Muhammad Ikram & Ziad Alkalha & Maher Alaraj, 2022. "Do Companies Adopt Big Data as Determinants of Sustainability: Evidence from Manufacturing Companies in Jordan," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 479-494, December.
    2. Xu, Jinou & Pero, Margherita & Fabbri, Margherita, 2023. "Unfolding the link between big data analytics and supply chain planning," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Priveena Thanabalan & Ali Vafaei-Zadeh & Haniruzila Hanifah & T. Ramayah, 2025. "Big Data Analytics Adoption in Manufacturing Companies: The Contingent Role of Data-Driven Culture," Information Systems Frontiers, Springer, vol. 27(3), pages 1061-1087, June.
    4. Genhasi Ge & Daoping Wang & Sihan Liang, 2025. "Dynamic game strategies and coordination of closed-loop supply chain considering product remanufacturing and goodwill in the big data environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(7), pages 16469-16502, July.
    5. Su, Dan & Zhang, Lijun & Peng, Hua & Saeidi, Parvaneh & Tirkolaee, Erfan Babaee, 2023. "Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Vu, Khuong & Rohman, Ibrahim Kholilul & Bohlin, Erik, 2024. "Promoting the adoption of digital technology: Strategic policy insights from a network effects model," Telecommunications Policy, Elsevier, vol. 48(10).
    7. Oluwafemi Akanfe & Paras Bhatt & Diane A. Lawong, 2025. "Technology Advancements Shaping the Financial Inclusion Landscape: Present Interventions, Emergence of Artificial Intelligence and Future Directions," Information Systems Frontiers, Springer, vol. 27(5), pages 2189-2212, October.
    8. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    9. Qian, Zishun & Yan, Tingting & Li, Jianbin & Zhang, Yicheng, 2026. "Unleashing resilience through digitalization: Do upstream and downstream firms differ?," Omega, Elsevier, vol. 138(C).
    10. Leven J. Zheng & Justin Zuopeng Zhang & Huan Wang & Jacky F. L. Hong, 2025. "Exploring the impact of Big Data Analytics Capabilities on the dual nature of innovative activities in MSMEs: A Data-Agility-Innovation Perspective," Annals of Operations Research, Springer, vol. 350(2), pages 699-727, July.
    11. Behl, Abhishek & Gaur, Jighyasu & Pereira, Vijay & Yadav, Rambalak & Laker, Benjamin, 2022. "Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach," Journal of Business Research, Elsevier, vol. 148(C), pages 378-389.
    12. Jinxuan Song & Xu Yan, 2023. "Impact of Government Subsidies, Competition, and Blockchain on Green Supply Chain Decisions," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    13. Jolien Grandia & Dylan Voncken, 2019. "Sustainable Public Procurement: The Impact of Ability, Motivation, and Opportunity on the Implementation of Different Types of Sustainable Public Procurement," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    14. Anhang Chen & Huiqin Zhang & Yuxiang Zhang & Junwei Zhao, 2024. "Manufacturers’ digital transformation under carbon cap-and-trade policy: investment strategy and environmental impact," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    15. Xingwei Li & Jiachi Dai & Xiaowen Zhu & Jingru Li & Jinrong He & Yicheng Huang & Xiang Liu & Qiong Shen, 2023. "Mechanism of attitude, subjective norms, and perceived behavioral control influence the green development behavior of construction enterprises," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    16. Wu, Jianghua & Wang, Xin & He, Yuhong, 2025. "Design of Blockchain and Strategic Financing Service under the Platform Economy," Omega, Elsevier, vol. 131(C).
    17. Lalou Panagiota & Ponis Stavros T. & Efthymiou Orestis K., 2020. "Demand Forecasting of Retail Sales Using Data Analytics and Statistical Programming," Management & Marketing, Sciendo, vol. 15(2), pages 186-202, June.
    18. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
    19. Shaik, Aqueeb Sohail & Nazrul, Asif & Alshibani, Safiya Mukhtar & Agarwal, Vaishali & Papa, Armando, 2024. "Environmental and economical sustainability and stakeholder satisfaction in SMEs. Critical technological success factors of big data analytics," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    20. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdu:ogjppm:v:2:y:2023:i:1:p:21-30:id:1956. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chief Editor (email available below). General contact details of provider: https://iprjb.org/journals/GJPPM/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.