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. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    2. 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.
    3. Noor Irliana Mohd Rahim & Noorminshah A. Iahad & Ahmad Fadhil Yusof & Mohammed A. Al-Sharafi, 2022. "AI-Based Chatbots Adoption Model for Higher-Education Institutions: A Hybrid PLS-SEM-Neural Network Modelling Approach," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    4. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    5. Rogier van de Wetering & Sherah Kurnia & Svyatoslav Kotusev, 2020. "The Effect of Enterprise Architecture Deployment Practices on Organizational Benefits: A Dynamic Capability Perspective," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    6. 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".
    7. Verreynne, Martie-Louise & Hine, Damian & Coote, Len & Parker, Rachel, 2016. "Building a scale for dynamic learning capabilities: The role of resources, learning, competitive intent and routine patterning," Journal of Business Research, Elsevier, vol. 69(10), pages 4287-4303.
    8. 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).
    9. 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.
    10. Tu, Gengyang & Faure, Corinne & Schleich, Joachim & Guetlein, Marie-Charlotte, 2021. "The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    11. Schriber, Svante & Löwstedt, Jan, 2015. "Tangible resources and the development of organizational capabilities," Scandinavian Journal of Management, Elsevier, vol. 31(1), pages 54-68.
    12. Eleanor Smith & Kenneth McRae & Gordon Semple & Hugh Welsh & Dorothy Evans & Paul Blackwell, 2021. "Enhancing Vocational Training in the Post-COVID Era through Mobile Mixed Reality," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    13. Yosaka Eka Putranta & Rusli Alamsyah & Lisan Tan & Dewi Tamara, 2020. "The Determinant Factors of Mobile Payment Adoption," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 8(3), pages 134-147.
    14. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    15. 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).
    16. 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).
    17. Kazeminia, Ali, 2021. "Unfolding the airbus’ strategic growth: A successful case," Scandinavian Journal of Management, Elsevier, vol. 37(1).
    18. Lu Qiu & Xiaowen Jie & Yanan Wang & Minjuan Zhao, 2020. "Green product innovation, green dynamic capability, and competitive advantage: Evidence from Chinese manufacturing enterprises," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(1), pages 146-165, January.
    19. Martinsen, Madeleine & Zhou, Yuanye & Dahlquist, Erik & Yan, Jinyue & Kyprianidis, Konstantinos, 2023. "Positive climate effects when AR customer support simultaneous trains AI experts for the smart industries of the future," Applied Energy, Elsevier, vol. 339(C).
    20. 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.

    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.