IDEAS home Printed from https://ideas.repec.org/a/ahd/journl/v3y2023i12p66-72.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.ceccarbusinessreview.ro/role-of-analytics-in-shaping-the-supply-chain-industry-in-the-middle-east-a274d/download-PDF/
    Download Restriction: no
    File URL: https://www.ceccarbusinessreview.ro/role-of-analytics-in-shaping-the-supply-chain-industry-in-the-middle-east-a274a/abstract/
    Download Restriction: no
    File URL: https://libkey.io/10.37945/cbr.2022.12.07?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    2. Mohammad Ali Yamin, 2021. "Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic: Empirical Evidence from an Emerging Economy," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    3. Yu, Wantao & Zhao, Gen & Liu, Qi & Song, Yongtao, 2021. "Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    4. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    5. Pan Liu & Shu-ping Yi, 2018. "Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era," Annals of Operations Research, Springer, vol. 270(1), pages 255-271, November.
    6. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    7. Norzalita Abd Aziz & Fei Long & Wan Mohd Hirwani Wan Hussain, 2023. "Examining the Effects of Big Data Analytics Capabilities on Firm Performance in the Malaysian Banking Sector," IJFS, MDPI, vol. 11(1), pages 1-13, January.
    8. Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2021. "Data Analytics Diffusion in the UK Renewable Energy Sector: An Innovation Perspective," Post-Print hal-03781046, HAL.
    9. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    10. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    11. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    12. Sun Jinling & Zhu Peiyu & Jin Shumo & Wang Hongbin, 2019. "Research on the Loss Sharing Contract in Supply Chain Under Asymmetric Information," Journal of Systems Science and Information, De Gruyter, vol. 7(2), pages 187-198, April.
    13. 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).
    14. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
    15. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    16. Xu, Shengxiang & Chen, Hsinghung & Dong, Shuli & Guo, Zizheng, 2023. "Can upgrading information infrastructure improve the innovation ability of companies? Empirical evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    17. Mihai BOGDAN & Anca BORZA, 2019. "Big Data Analytics and Organizational Performance: A Meta-Analysis Study," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 4(2), pages 1-13, June.
    18. Rodríguez-Espíndola, Oscar & Cuevas-Romo, Ana & Chowdhury, Soumyadeb & Díaz-Acevedo, Natalie & Albores, Pavel & Despoudi, Stella & Malesios, Chrisovalantis & Dey, Prasanta, 2022. "The role of circular economy principles and sustainable-oriented innovation to enhance social, economic and environmental performance: Evidence from Mexican SMEs," International Journal of Production Economics, Elsevier, vol. 248(C).
    19. Queiroz, Maciel M. & Pereira, Susana Carla Farias, 2019. "Intenção de adoção de big data na cadeia de suprimentos: Uma perspectiva brasileira," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 59(6), December.
    20. Maya Vachkova & Arsalan Ghouri & Haidy Ashour & Normalisa Binti Md Isa & Gregory Barnes, 2023. "Big data and predictive analytics and Malaysian micro-, small and medium businesses," SN Business & Economics, Springer, vol. 3(8), pages 1-28, August.

    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

    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:ahd:journl:v:3:y:2023:i:12:p:66-72. 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: Radu CIOBANU (email available below). General contact details of provider: .

    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.