IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i16p7221-d1461683.html
   My bibliography  Save this article

Acceptance of an IoT System for Strawberry Cultivation: A Case Study of Different Users

Author

Listed:
  • José Varela-Aldás

    (Centro de Investigaciones de Ciencias Humanas y de la Educación—CICHE, Universidad Indoamérica, Ambato 180103, Ecuador)

  • Alex Gavilanes

    (Centro de Investigaciones de Ciencias Humanas y de la Educación—CICHE, Universidad Indoamérica, Ambato 180103, Ecuador)

  • Nancy Velasco

    (Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060155, Ecuador)

  • Carolina Del-Valle-Soto

    (Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico)

  • Carlos Bran

    (Instituto de Investigación e Innovación en Electrónica (IIIE), Universidad Don Bosco (UDB), Soyapango 1874, El Salvador)

Abstract

The Internet of Things (IoT) has been impacting multiple industries worldwide for over a decade. However, less developed countries have yet to make the transition to these technologies. South America is among the regions with the least IoT influence in all sectors, indicating a need for studies to explore IoT acceptance among various users in this region. This study analyzes two different users of a monitoring and irrigation system for strawberry ( Fragaria × ananassa ) farming. Monitored variables include soil moisture, and ambient temperature and humidity, with irrigation performed via water pumping from a reservoir. The system is based on the M5Core2 development kit for the local station and the IoT platform ThingSpeak for remote access. It features a web user interface consisting of an application developed in HTML using a plugin on ThingSpeak. Thus, the system can be used locally via a touchscreen and remotely through a web browser. Measurements are cross-verified with commercial meters to ensure their reliability, and users are asked to fill out a Technology Acceptance Model (TAM) for IoT to gauge their acceptance level. Additionally, an interview is conducted that explores four critical factors, aimed at understanding their experience and interaction with the system after a period of usage. The findings confirm the validity of the monitored variables and demonstrate a global acceptance rate of slightly over 80%, albeit with varying user acceptance perspectives. Specifically, the technical user exhibits greater acceptance than the crop administrator, evidenced by a mean discrepancy of 1.85 points on the TAM scale.

Suggested Citation

  • José Varela-Aldás & Alex Gavilanes & Nancy Velasco & Carolina Del-Valle-Soto & Carlos Bran, 2024. "Acceptance of an IoT System for Strawberry Cultivation: A Case Study of Different Users," Sustainability, MDPI, vol. 16(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:7221-:d:1461683
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/16/7221/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/16/7221/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wissal Ben Arfi & Imed Ben Nasr & Tatiana Khvatova & Younes Ben Zaied, 2021. "Understanding acceptance of eHealthcare by IoT natives and IoT immigrants : An integrated model of UTAUT, perceived risk, and financial cost," Post-Print hal-03188218, HAL.
    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. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Dang, Ngoc Bich & Bertrandias, Laurent, 2023. "Social robots as healing aids: How and why powerlessness influences the intention to adopt social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Hsing-Chun Hung & Yuh-Wen Chen, 2023. "Striving to Achieve United Nations Sustainable Development Goals of Taiwanese SMEs by Adopting Industry 4.0," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    4. Frishammar, Johan & Essén, Anna & Bergström, Frida & Ekman, Tilda, 2023. "Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    5. Binglong Zheng & Daniel Tse & Jiajing Ma & Xuanyi Lang & Yinli Lu, 2023. "An Empirical Study of SETA Program Sustaining Educational Sector’s Information Security vs. Information Systems Misuse," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
    6. Naeini, Ali Bonyadi & Zamani, Mehdi & Daim, Tugrul U. & Sharma, Mahak & Yalcin, Haydar, 2022. "Conceptual structure and perspectives on “innovation management”: A bibliometric review," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    7. An Duong Thi Binh & Mohammadreza Akbari & Huong Le Thi Cam & Lam Nguyen Canh & Huy Truong Quang, 2024. "Forging Pathways to Circular Economy Excellence: Integrating Industry 4.0 with Quality Management," Sustainability, MDPI, vol. 16(7), pages 1-26, April.
    8. Bamel, Umesh & Talwar, Shalini & Pereira, Vijay & Corazza, Laura & Dhir, Amandeep, 2023. "Disruptive digital innovations in healthcare: Knowing the past and anticipating the future," Technovation, Elsevier, vol. 125(C).
    9. Hernández-Tamurejo, Álvaro & Saiz-Sepúlveda, Álvaro & Lacárcel, Francisco Javier S., 2024. "Are urban mobility policies favoring the purchase of new vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    10. Ponzoa, José M. & Gómez, Andrés & Villaverde, Silvia & Díaz, Vicente, 2021. "Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. Xiong, Jie & Zuo, Meiyun, 2022. "Understanding factors influencing the adoption of a mobile platform of medical and senior care in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    12. Kevin Nguyen & Mohammadreza Akbari & Huy Truong Quang & Scott McDonald & Thu-Hang Hoang & Teck Lee Yap & Majo George, 2023. "Navigating Environmental Challenges through Supply Chain Quality Management 4.0 in Circular Economy: A Comprehensive Review," Sustainability, MDPI, vol. 15(24), pages 1-26, December.
    13. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    14. Balakrishnan, Janarthanan & Abed, Salma S. & Jones, Paul, 2022. "The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    15. Chang, Mona & Walimuni, Arachchilage C.S.M. & Kim, Min-cheol & Lim, Hwa-soon, 2022. "Acceptance of tourism blockchain based on UTAUT and connectivism theory," Technology in Society, Elsevier, vol. 71(C).

    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:16:p:7221-:d:1461683. 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.