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Role of Analytics in Shaping the Supply Chain Industry in the Middle East

Author

Listed:
  • Mohammad BIN HAMMAM

    (King Saud University, Kingdom of Saudi Arabia)

  • Salatun-Nisa KHAYEB

    (Cadi Ayyad University, Morocco)

  • Abdullah Abu MUHTABIYEN

    (King Saud University, Kingdom of Saudi Arabia)

Abstract

Big data analytics (BDA) is among the most digital innovations for supporting source chain firms’ pursuits. Empirically, several advantages of BDA found in supply chain management (SCM) are shown. The study aimed to explore the connection between specialized, organizational and environmental elements, the efficiency of supply chain firms with the technology-organization-environment (TOE) framework and the diffusion of innovation (DOI) principle. This study was done at medium large source chain companies within Turkey. The test dimensions hit 450 companies realized by Turkey’s Ministry of Industry and Commerce in various domains. In this research, a questionnaire was used to collect the main information. The collected data are examined using SPSS model 26.0. SPSS is used to describe respondents’ market profiles. The portion of respondents to the questionnaire reached 57%. Additionally, to evaluate hypotheses and achieve investigate objectives, PLS-SEM model 3.0 is utilized to analyze the relationship between dependent and independent variables. From the PLS benefits, the study found that intricacy had been positively associated with the firm’s efficiency. However, family member advantage, compatibility had been badly associated with the firm’s efficiency.

Suggested Citation

  • Mohammad BIN HAMMAM & Salatun-Nisa KHAYEB & Abdullah Abu MUHTABIYEN, 2023. "Role of Analytics in Shaping the Supply Chain Industry in the Middle East," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(12), pages 66-72, December .
    • Handle: RePEc:ahd:journl:v:3:y:2023:i:12:p:66-72
    DOI: 10.37945/cbr.2022.12.07
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    References listed on IDEAS

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    1. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    2. Daniul Thomas ISENBERG & Mesbaul Haque SAZU & Sakila Akter JAHAN, 2022. "How Banks Can Leverage Credit Risk Evaluation to Improve Financial Performance," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(9), pages 62-72, September.
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    More about this item

    Keywords

    supply chain; Middle East; analytics;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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