IDEAS home Printed from https://ideas.repec.org/a/ags/ajosrd/348863.html
   My bibliography  Save this article

Unified theory of acceptance and use of technology model to understand farmer's readiness: Implementation of precision agriculture based on digital IoT monitoring apps in West Java, Indonesia

Author

Listed:
  • Larasati, Niken
  • Putri, Adelia Anissa
  • Soemodinoto, Annisa S.
  • Alyssa, Nadya
  • Shoofiyani, Okke Siti

Abstract

This research investigates the readiness of farmers in West Java to adopt IoT monitoring applications through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The digital transformation has introduced precision agriculture, an advanced technology-based approach that enhances the monitoring of crop and farmer needs. Smart farming leverages the Internet of Things (IoT) and sensor technology to optimize complex agricultural systems, thereby increasing productivity while mitigating environmental impact. Utilizing soil and weather sensors to measure temperature, nutrients, and humidity, the study explores factors such as performance expectancy, facilitating conditions, personal innovativeness, habit, behavioral intention, and use behavior that will influence technology adoption within diverse farming communities. A deeper exploration through the lens of the UTAUT Model reveals that West Javan Indonesian farmers are prepared to utilize the monitoring apps. The factors that affect the Use Behavior (UB) of the farmers consist of their internal or personal characteristics, Habit (H) and Personal Innovativeness (PI), and the external factors that correlate with the app developer’s performance are Facilitating Condition (FC) and Performance Expectancy (PE). Habits from farmers for data recording and the personal innovativeness will increase the intention to use IoT monitoring apps.

Suggested Citation

  • Larasati, Niken & Putri, Adelia Anissa & Soemodinoto, Annisa S. & Alyssa, Nadya & Shoofiyani, Okke Siti, 2024. "Unified theory of acceptance and use of technology model to understand farmer's readiness: Implementation of precision agriculture based on digital IoT monitoring apps in West Java, Indonesia," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 14(03).
    • Handle: RePEc:ags:ajosrd:348863
    DOI: 10.22004/ag.econ.348863
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/348863/files/985-AJARD202414%284%29176-183%5BIndonesia%5D.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.348863?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. Mital, Monika & Chang, Victor & Choudhary, Praveen & Papa, Armando & Pani, Ashis K., 2018. "Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 339-346.
    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. Lulwah AlSuwaidan & Nuha Almegren, 2020. "Validating the Adoption of Heterogeneous Internet of Things with Blockchain," Future Internet, MDPI, vol. 12(6), pages 1-17, June.
    2. 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).
    3. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    5. Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    6. Jabeen, Gul & Ahmad, Munir & Zhang, Qingyu, 2021. "Perceived critical factors affecting consumers’ intention to purchase renewable generation technologies: Rural-urban heterogeneity," Energy, Elsevier, vol. 218(C).
    7. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    8. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    9. Si Ying Tan & Araz Taeihagh, 2020. "Smart City Governance in Developing Countries: A Systematic Literature Review," Sustainability, MDPI, vol. 12(3), pages 1-29, January.
    10. Radhwan Sneesl & Yusmadi Yah Jusoh & Marzanah A. Jabar & Salfarina Abdullah & Umar Ali Bukar, 2022. "Factors Affecting the Adoption of IoT-Based Smart Campus: An Investigation Using Analytical Hierarchical Process (AHP)," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    11. Mohammed Arshad Khan & Hamad A. Alhumoudi, 2022. "Performance of E-Banking and the Mediating Effect of Customer Satisfaction: A Structural Equation Model Approach," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    12. Malodia, Suresh & Mishra, Mahima & Fait, Monica & Papa, Armando & Dezi, Luca, 2023. "To digit or to head? Designing digital transformation journey of SMEs among digital self-efficacy and professional leadership," Journal of Business Research, Elsevier, vol. 157(C).
    13. Mohammad Asif & Mohammed Arshad Khan & Hamad Alhumoudi & Mohammad Wasiq, 2023. "Examining the Role of Self-Reliance, Social Domination, Perceived Surveillance, and Customer Support with Respect to the Adoption of Mobile Banking," IJERPH, MDPI, vol. 20(5), pages 1-19, February.
    14. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    15. Arunvel Thangamani & L. S. Ganesh & Anand Tanikella & Meher Prasad Anumolu, 2022. "Intelligent buildings with IoT systems using ML and HITL for indoor environmental control: an investigation of occupants’ adoption intent," SN Business & Economics, Springer, vol. 2(3), pages 1-38, March.
    16. Haili Yang & Yueyue Luo & Yunhua Qiu & Jiantao Zou & Mohammad Masukujjaman & Abdullah Mohammed Ibrahim, 2023. "Modeling the Enablers of Consumers’ E-Shopping Behavior: A Multi-Analytic Approach," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    17. Xiong, Chang & Chang, Victor & Scuotto, Veronica & Shi, Yujie & Paoloni, Niccolò, 2021. "The social-psychological approach in understanding knowledge hiding within international R&D teams: An inductive analysis," Journal of Business Research, Elsevier, vol. 128(C), pages 799-811.
    18. Won, Jeong Yeon & Park, Min Jae, 2020. "Smart factory adoption in small and medium-sized enterprises: Empirical evidence of manufacturing industry in Korea," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    19. Mengyao Zhang & Hasliza Hassan & Melissa Wendy Migin, 2023. "Exploring the Consumers’ Purchase Intention on Online Community Group Buying Platform during Pandemic," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    20. Radhwan Sneesl & Yusmadi Yah Jusoh & Marzanah A. Jabar & Salfarina Abdullah, 2022. "Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review," Sustainability, MDPI, vol. 14(8), pages 1-27, April.

    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:ags:ajosrd:348863. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aesstea.html .

    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.