et al., M. (2024). Impact of IOT Technology on Aquaculture Industry. Egyptian Journal of Aquatic Biology and Fisheries, 28(5), 1281-1297. doi: 10.21608/ejabf.2024.384134
Mostafa et al.. "Impact of IOT Technology on Aquaculture Industry". Egyptian Journal of Aquatic Biology and Fisheries, 28, 5, 2024, 1281-1297. doi: 10.21608/ejabf.2024.384134
et al., M. (2024). 'Impact of IOT Technology on Aquaculture Industry', Egyptian Journal of Aquatic Biology and Fisheries, 28(5), pp. 1281-1297. doi: 10.21608/ejabf.2024.384134
et al., M. Impact of IOT Technology on Aquaculture Industry. Egyptian Journal of Aquatic Biology and Fisheries, 2024; 28(5): 1281-1297. doi: 10.21608/ejabf.2024.384134
The beginning of the internet of things (IoT) technology has brought significant improvements in various sectors, including agriculture and aquaculture. The aquaculture industry, which encompasses the farming of aquatic organisms, stands to benefit from the integration of IoT technology in its operations. This thesis aimed to investigate the impact of IoT technology on the aquaculture industry, focusing on its adoption and utilization by industry stakeholders in Egypt. In addition, it provides a comprehensive understanding of the transformative potential of the IoT technology for the aquaculture sector. It highlights how IoT can contribute to increasing productivity, improving sustainability, and enhancing profitability, laying the groundwork for a more efficient and sustainable aquaculture industry.The study employs the unified theory of acceptance and use of technology (UTAUT) model as a framework to examine the factors influencing the acceptance and adoption of IoT technology in aquaculture to assess individuals' behavioral intentions and actual user behavior regarding IoT technology in the aquaculture sector. Data for the study were collected through a survey administered to aquaculture industry professionals, including farmers and industry experts. The findings reveal that the UTAUT model provides valuable insights into the adoption and use of IoT technology in the aquaculture industry. Performance expectancy, effort expectancy, and facilitating conditions were found to significantly influence both behavioral intentions and actual use behavior. Individuals' perceptions of the technology's performance benefits, ease of use, and the presence of facilitating conditions were key factors in their decision to adopt and utilize IoT technology in aquaculture. By recognizing the factors that drive or hinder the adoption of IoT technology, stakeholders can make informed decisions regarding its implementation and can explore strategies to maximize its benefits in terms of efficiency, productivity, and sustainability in aquaculture operations.
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