IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p2129-d1351064.html
   My bibliography  Save this article

Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights

Author

Listed:
  • Mahadi Bahari

    (Department of Information Systems, Faculty of Management, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • Ibrahim Arpaci

    (Department of Information Systems, Faculty of Management, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
    Department of Software Engineering, Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylul University, Bandırma 10200, Türkiye)

  • Oguzhan Der

    (Department of Maritime Vehicles Management Engineering, Maritime Faculty, Bandırma Onyedi Eylul University, Bandırma 10200, Türkiye)

  • Fatih Akkoyun

    (Department of Mechanical Engineering, Faculty of Engineering, İzmir Demokrasi University, İzmir 35140, Türkiye)

  • Ali Ercetin

    (Department of Naval Architecture and Marine Engineering, Maritime Faculty, Bandırma Onyedi Eylul University, Bandırma 10200, Türkiye)

Abstract

The Internet of Things (IoT) holds immense potential for the social and economic development of developing countries, as recognized by academia and professionals. However, there is a notable lack of theoretical research on IoT adoption within agricultural settings. To address this gap, this study introduces a model focusing on nine critical “Technology-Organization-Environment” (TOE) factors. Empirical validation was conducted using data from 179 managers in diverse agricultural organizations. The research model was evaluated by using “Partial Least Squares Structural Equation Modeling” (PLS-SEM). The results underscored the significance of governmental support and technological compatibility in driving IoT adoption. Moreover, financial considerations within organizations and the evolving digital landscape were identified as key influencers of smart farm adoption. This study offers valuable insights with significant implications for sustainable IoT adoption in research and practical applications.

Suggested Citation

  • Mahadi Bahari & Ibrahim Arpaci & Oguzhan Der & Fatih Akkoyun & Ali Ercetin, 2024. "Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2129-:d:1351064
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/2129/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/5/2129/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. G Premkumar & K Ramamurthy & M Crum, 1997. "Determinants of EDI adoption in the transportation industry," European Journal of Information Systems, Taylor & Francis Journals, vol. 6(2), pages 107-121, June.
    2. Kevin Zhu & Kenneth L. Kraemer, 2005. "Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry," Information Systems Research, INFORMS, vol. 16(1), pages 61-84, March.
    3. Kevin Zhu & Kenneth Kraemer & Sean Xu, 2003. "Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors," European Journal of Information Systems, Taylor & Francis Journals, vol. 12(4), pages 251-268, December.
    4. Reyes, Pedro M. & Li, Suhong & Visich, John K., 2016. "Determinants of RFID adoption stage and perceived benefits," European Journal of Operational Research, Elsevier, vol. 254(3), pages 801-812.
    5. Raguseo, Elisabetta, 2018. "Big data technologies: An empirical investigation on their adoption, benefits and risks for companies," International Journal of Information Management, Elsevier, vol. 38(1), pages 187-195.
    6. Kevin Zhu & Shutao Dong & Sean Xin Xu & Kenneth L Kraemer, 2006. "Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies," European Journal of Information Systems, Taylor & Francis Journals, vol. 15(6), pages 601-616, December.
    7. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    8. Ritter, Thomas & Gemunden, Hans Georg, 2004. "The impact of a company's business strategy on its technological competence, network competence and innovation success," Journal of Business Research, Elsevier, vol. 57(5), pages 548-556, May.
    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. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    2. Abiodun Ogunyemi & Kevin Johnston, 2017. "Is Server Virtualization Implementation in Business and Public Organizations a Worthwhile Investment?," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 711-736, May.
    3. Sanjith Gopalakrishnan & Moksh Matta & Hasan Cavusoglu, 2022. "The Dark Side of Technological Modularity: Opportunistic Information Hiding During Interorganizational System Adoption," Information Systems Research, INFORMS, vol. 33(3), pages 1072-1092, September.
    4. Huh, Young Eun & Kim, Sang-Hoon, 2008. "Do early adopters upgrade early? Role of post-adoption behavior in the purchase of next-generation products," Journal of Business Research, Elsevier, vol. 61(1), pages 40-46, January.
    5. Yang Liu & Moses Olabhele Esangbedo & Sijun Bai, 2019. "Adaptability of Inter-Organizational Information Systems Based on Organizational Identity: Some Factors of Partnership for the Goals," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    6. Ebrahim A. A. Ghaleb & P. D. D. Dominic & Narinderjit Singh Sawaran Singh & Gehad Mohammed Ahmed Naji, 2023. "Assessing the Big Data Adoption Readiness Role in Healthcare between Technology Impact Factors and Intention to Adopt Big Data," Sustainability, MDPI, vol. 15(15), pages 1-25, July.
    7. Aboelmaged, Mohamed Gamal, 2014. "Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms," International Journal of Information Management, Elsevier, vol. 34(5), pages 639-651.
    8. Mohammad Alamgir Hossain & Mohammed Quaddus & Nazrul Islam, 2016. "Developing and validating a model explaining the assimilation process of RFID: An empirical study," Information Systems Frontiers, Springer, vol. 18(4), pages 645-663, August.
    9. Abhay Nath Mishra & Prabhudev Konana & Anitesh Barua, 2007. "Antecedents and Consequences of Internet Use in Procurement: An Empirical Investigation of U.S. Manufacturing Firms," Information Systems Research, INFORMS, vol. 18(1), pages 103-120, March.
    10. Arfan Shahzad & Mohd Syarol Azuan bin Zakaria & Herbert Kotzab & Muhammad Abdul Majid Makki & Aamir Hussain & Julia Fischer, 2023. "Adoption of fourth industrial revolution 4.0 among Malaysian small and medium enterprises (SMEs)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    11. Ruivo, Pedro & Oliveira, Tiago & Neto, Miguel, 2014. "Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs," International Journal of Accounting Information Systems, Elsevier, vol. 15(2), pages 166-184.
    12. Abhay Nath Mishra & Ritu Agarwal, 2010. "Technological Frames, Organizational Capabilities, and IT Use: An Empirical Investigation of Electronic Procurement," Information Systems Research, INFORMS, vol. 21(2), pages 249-270, June.
    13. Nilashi, Mehrbakhsh & Ahmadi, Hossein & Ahani, Ali & Ravangard, Ramin & Ibrahim, Othman bin, 2016. "Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP)," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 244-264.
    14. Nam, Dalwoo & Lee, Junyeong & Lee, Heeseok, 2019. "Business analytics use in CRM: A nomological net from IT competence to CRM performance," International Journal of Information Management, Elsevier, vol. 45(C), pages 233-245.
    15. Mohamed Kossaï & Maria Luiza Lapa Souza & Younes Ben Zaied & Pascal Nguyen, 2020. "Determinants of the Adoption of Information and Communication Technologies (ICTs): the Case of Tunisian Electrical and Electronics Sector," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 845-864, September.
    16. Lin, Sheng-Wei, 2016. "The critical success factors for a travel application service provider evaluation and selection by travel intermediaries," Tourism Management, Elsevier, vol. 56(C), pages 126-141.
    17. Afsay, Akram & Tahriri, Arash & Rezaee, Zabihollah, 2023. "A meta-analysis of factors affecting acceptance of information technology in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    18. Ram, Jiwat & Corkindale, David & Wu, Ming-Lu, 2013. "Implementation critical success factors (CSFs) for ERP: Do they contribute to implementation success and post-implementation performance?," International Journal of Production Economics, Elsevier, vol. 144(1), pages 157-174.
    19. Zhang, Cheng & Dhaliwal, Jasbir, 2009. "An investigation of resource-based and institutional theoretic factors in technology adoption for operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 120(1), pages 252-269, July.
    20. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.

    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:jsusta:v:16:y:2024:i:5:p:2129-:d:1351064. 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.