IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v8y2024i7p695-704.html
   My bibliography  Save this article

Aquaculture Farmers’ Spatial Distribution and Intention to Adopt the Sistem Pengurusan Kawalan Biosekuriti Perikanan (Biodof-Map)

Author

Listed:
  • Eleanor Daniella Lokman

    (Department of Agribusiness and Bioresource Economics, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Selangor, 43400 UPM, Serdang)

  • Norsida Man

    (Fisheries Research Institute (FRI) Batu Maung, 11960, Pulau Pinang, Malaysia)

  • Nik Norasma, Che Ya

    (Department of Agribusiness and Bioresource Economics, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Selangor, 43400 UPM, Serdang Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia (UPM), 43400, Serdang, Malaysia)

Abstract

Aquaculture is crucial to food supply and economic growth supported by Industry Revolution 4.0 to boost output. Malaysian Department of Fisheries (DOF) developed a Web-GIS system, a spatial system focusing on aquaculture. However, farmers are unfamiliar with the system. The Theory of Planned Behaviour (TPB) is employed to examine the attitudes, subjective norms, and perceived behavioural control of Malaysian Aquaculture Farmers (MAFs) throughout Malaysia in relation to BioDOF-Map. Questionnaire was used in the present quantitative research, with 278 respondents. Data was analysed using descriptive, spatial, correlation, and regression analysis techniques. 65.8% of respondents are farm landlords. 29.2% respondents own 3.1 to 4 hectares, and 69.1% reside 2 to 3 km from their farm. Notably, 49.6% own family land and 9.7% grow crops or vegetables off-farm. Cage culture or aquaculture were respondents’ activities. Perak (11.15%), Pahang and Selangor (10.07%) have the most residents. Spatially, aquaculture farming decisions are influenced by housing and town location. With a mean of 4.55 and SD of 0.296, MAFs intend to use BioDOF-Map. Correlation showed a significant association between attitude and intention at 0.01 level of significance (r=0.980, p=.000), supporting the hypothesis. At 0.01 significance level, subjective norms, and intention are linear (r = 0.325, p =.000), fails to reject the null hypothesis. At 0.01 level of significance (r=0.966, p=.000), perceived behavioural control and intention fails to reject the null hypothesis. Regression shows a significant association between attitude and intention (β = 0.635, t = 20.704, p

Suggested Citation

  • Eleanor Daniella Lokman & Norsida Man & Nik Norasma, Che Ya, 2024. "Aquaculture Farmers’ Spatial Distribution and Intention to Adopt the Sistem Pengurusan Kawalan Biosekuriti Perikanan (Biodof-Map)," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(7), pages 695-704, July.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:7:p:695-704
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-8-issue-7/695-704.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/aquaculture-farmers-spatial-distribution-and-intention-to-adopt-the-sistem-pengurusan-kawalan-biosekuriti-perikanan-biodof-map/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adai Mohammad Al-Momani & Moamin A. Mahmoud & Mohd Sharifuddin Ahmad, 2019. "A Review of Factors Influencing Customer Acceptance of Internet of Things Services," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 11(1), pages 54-67, January.
    2. Libin Han & Chong Peng & Zhenyu Xu, 2022. "The Effect of Commuting Time on Quality of Life: Evidence from China," IJERPH, MDPI, vol. 20(1), pages 1-10, December.
    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. Noor Islam Jasim & Hairoladenan Kasim & Moamin A. Mahmoud, 2022. "Towards the Development of Smart and Sustainable Transportation System for Foodservice Industry: Modelling Factors Influencing Customer’s Intention to Adopt Drone Food Delivery (DFD) Services," Sustainability, MDPI, vol. 14(5), pages 1-21, March.

    More about this item

    Statistics

    Access and download statistics

    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:bcp:journl:v:8:y:2024:i:7:p:695-704. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.