IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i4p110-d1514562.html
   My bibliography  Save this article

Analysing the Influence of Augmented Reality on Organization Performance via Supply and Logistics Value Chain Functions: A Hybrid ANN-PLS Model Assessment in the Gulf Cooperation Council Region

Author

Listed:
  • Ahmad Aburayya

    (MBA Department, College of Business, City University Ajman, Ajman P.O. Box 18484, United Arab Emirates)

Abstract

Background : Despite the resurgence of interest in augmented reality (AR) due to Industry 4.0 and its ability to resolve several challenges faced by current business models, comprehensive research examining the capabilities of AR in supply chain management (SCM) and logistics remains limited. This article aims to investigate the potential effects of AR technology on organizational performance through the mediation role of SCM and logistics value chain functions to address the existing knowledge gap. Methods : This research employed a cross-sectional design and an explanatory survey as a deductive approach for hypothesis development. The primary data collection method involved the self-administration of a questionnaire to furniture suppliers located in the Gulf Cooperation Council (GCC), including six countries. Of the 656 questionnaires submitted to suppliers, 483 were considered usable, yielding a response rate of 73.6%. The research utilized partial least squares structural equation modelling (PLS-SEM) and artificial neural network (ANN) techniques to evaluate the gathered data. Results : The current paper’s statistical evidence demonstrates that AR implementation has a positive impact on the supply and logistics value chain activities and organizational performance of furniture suppliers in the GCC region. Moreover, it illustrates that the design and planning variable of supply chain value dominates as the primary predictor of organization performance. The results indicated that the ANN strategy provided a more comprehensive explanation of internally generated constructs compared to the PLS-SEM technique. Conclusions : This study demonstrates its usefulness by advising furniture industry decision-makers on what to avoid and what aspects to consider when creating plans and regulations. The report also suggests operations managers apply machine learning (ANN) for prediction and decision-making in supply and operations value chains. This essay looks at how the AR and resource-based supply value chain view may affect company performance across countries, firm sizes, and ages.

Suggested Citation

  • Ahmad Aburayya, 2024. "Analysing the Influence of Augmented Reality on Organization Performance via Supply and Logistics Value Chain Functions: A Hybrid ANN-PLS Model Assessment in the Gulf Cooperation Council Region," Logistics, MDPI, vol. 8(4), pages 1-20, November.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:4:p:110-:d:1514562
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/4/110/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/8/4/110/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mustafa Esengün & Alp Üstündağ & Gökhan İnce, 2022. "Development of an augmented reality-based process management system: The case of a natural gas power plant," IISE Transactions, Taylor & Francis Journals, vol. 55(2), pages 201-216, November.
    2. Aimilia Protogerou & Yannis Caloghirou & Spyros Lioukas, 2012. "Dynamic capabilities and their indirect impact on firm performance," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 21(3), pages 615-647, June.
    3. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    4. Lea Hannola & Alexander Richter & Shahper Richter & Alexander Stocker, 2018. "Empowering production workers with digitally facilitated knowledge processes – a conceptual framework," International Journal of Production Research, Taylor & Francis Journals, vol. 56(14), pages 4729-4743, July.
    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. Zhonghua Zhao & Fanchen Meng & Yin He & Zhouyang Gu, 2019. "The Influence of Corporate Social Responsibility on Competitive Advantage with Multiple Mediations from Social Capital and Dynamic Capabilities," Sustainability, MDPI, vol. 11(1), pages 1-16, January.
    2. Elisa Martinelli & Giulia Tagliazucchi & Gianluca Marchi, 2015. "Disastri Naturali e Dynamic Capabilities nel Commercio," Department of Economics 0066, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    3. Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    4. Simona Sternad Zabukovšek & Samo Bobek & Uroš Zabukovšek & Zoran Kalinić & Polona Tominc, 2022. "Enhancing PLS-SEM-Enabled Research with ANN and IPMA: Research Study of Enterprise Resource Planning (ERP) Systems’ Acceptance Based on the Technology Acceptance Model (TAM)," Mathematics, MDPI, vol. 10(9), pages 1-28, April.
    5. Schriber, Svante & Löwstedt, Jan, 2015. "Tangible resources and the development of organizational capabilities," Scandinavian Journal of Management, Elsevier, vol. 31(1), pages 54-68.
    6. Larbi-Siaw, Otu & Xuhua, Hu & Owusu, Ebenezer & Owusu-Agyeman, Abigail & Fulgence, Brou Ettien & Frimpong, Samuel Akwasi, 2022. "Eco-innovation, sustainable business performance and market turbulence moderation in emerging economies," Technology in Society, Elsevier, vol. 68(C).
    7. Singh, Nidhi & Sinha, Neena, 2020. "How perceived trust mediates merchant's intention to use a mobile wallet technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    8. Kazeminia, Ali, 2021. "Unfolding the airbus’ strategic growth: A successful case," Scandinavian Journal of Management, Elsevier, vol. 37(1).
    9. Faisal Mahmood & Faisal Qadeer & Usman Sattar & Antonio Ariza-Montes & Maria Saleem & Jaffar Aman, 2020. "Corporate Social Responsibility and Firms’ Financial Performance: A New Insight," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    10. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    11. Yu Hao & Shuang Liu & Zhu Liduzi Jiesisibieke & Yi-Jie Xu, 2019. "What Determines University Students’ Online Consumer Credit? Evidence From China," SAGE Open, , vol. 9(1), pages 21582440198, March.
    12. Baltar, Fabiola, 2013. "A suitable 'GPS' for SME's: the strategic planning and organizational learning nexus," Nülan. Deposited Documents 1877, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    13. Richard Arend, 2014. "Entrepreneurship and dynamic capabilities: how firm age and size affect the ‘capability enhancement–SME performance’ relationship," Small Business Economics, Springer, vol. 42(1), pages 33-57, January.
    14. Stav Fainshmidt & Amir Pezeshkan & M. Lance Frazier & Anil Nair & Edward Markowski, 2016. "Dynamic Capabilities and Organizational Performance: A Meta-Analytic Evaluation and Extension," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1348-1380, December.
    15. Faruk Ahmeti & Burim Prenaj, 2022. "Determinants Affecting Consumer Acceptance and Adoption of Internet Banking in Developing Countries: The case study of Kosovo," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 60-79.
    16. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    17. Oussama Tounekti & Antonio Ruiz-Martínez & Antonio F. Skarmeta Gomez, 2022. "Research in Electronic and Mobile Payment Systems: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    18. Wenjing Wang & Yiwei Liu, 2021. "Community-level characteristics and member firms’ invention: evidence from university–industry innovation community in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8913-8934, November.
    19. Luca Marrucci & Tiberio Daddi & Fabio Iraldo, 2022. "Do dynamic capabilities matter? A study on environmental performance and the circular economy in European certified organisations," Business Strategy and the Environment, Wiley Blackwell, vol. 31(6), pages 2641-2657, September.
    20. Chen, Yantai & Luo, Haibei & Chen, Jin & Guo, Yanlin, 2022. "Building data-driven dynamic capabilities to arrest knowledge hiding: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 1138-1154.

    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:gam:jlogis:v:8:y:2024:i:4:p:110-:d:1514562. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.