Analysis of Navigation Technology Acceptance as a Supporting Facility in The Barito River Estuary Shipping Channel Using The Technology Acceptance Model (TAM)

The Barito River is a strategic shipping lane facing various safety challenges. The use of navigation technology such as the Automatic Identification System (AIS) can improve shipping safety and efficiency, but its adoption among ship operators is still limited. This study analyzes the acceptance of navigation technology in the Barito River Channel using the Technology Acceptance Model (TAM), which involves five variables: Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude Toward Using (ATU), Behavioral Intention (BI), and Actual System Use (AU). The results of the analysis using PLS-SEM show that PEU has a positive effect on PU (t-statistic = 10.056, p-value = 0), PEU has a significant effect on ATU (t-statistic = 4.131, p-value = 0), and ATU has a significant effect on BI (t-statistic = 5.059, p-value = 0). PU has a significant effect on BI (t-statistic = 5.875, p-value = 0) and BI has a positive effect on AU (t-statistic = 8.898, p-value = 0). The results of the hypothesis test indicate that most of the relationships between variables in the TAM are significant, with positive influences between PEU and PU, PEU and ATU, ATU and BI, and BI and AU. However, the relationship between PU and ATU does not show significance, indicating that perceived usefulness does not directly influence attitudes towards technology use. This acceptance contributes to the development of policies and strategies for the acceptance of navigation technology in the shipping sector.

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Publication Details

Journal
Dinasti International Journal of Education Management And Social Science
Published
2025-10-08
DOI
https://doi.org/10.38035/dijemss.v7i1.5340
Primary Topic
Technology Assessment and Management
Type
article
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article

Analysis of Navigation Technology Acceptance as a Supporting Facility in The Barito River Estuary Shipping Channel Using The Technology Acceptance Model (TAM)

Raja Oloan Saut Gurning, Dhimas Widhi Handani, Alexander Volta Matondang
Dinasti International Journal of Education Management And Social Science
Technology Assessment and Management
article

Analysis of Navigation Technology Acceptance as a Supporting Facility in The Barito River Estuary Shipping Channel Using The Technology Acceptance Model (TAM)

Raja Oloan Saut Gurning, Dhimas Widhi Handani, Alexander Volta Matondang
article en

Abstract

The Barito River is a strategic shipping lane facing various safety challenges. The use of navigation technology such as the Automatic Identification System (AIS) can improve shipping safety and efficiency, but its adoption among ship operators is still limited. This study analyzes the acceptance of navigation technology in the Barito River Channel using the Technology Acceptance Model (TAM), which involves five variables: Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude Toward Using (ATU), Behavioral Intention (BI), and Actual System Use (AU). The results of the analysis using PLS-SEM show that PEU has a positive effect on PU (t-statistic = 10.056, p-value = 0), PEU has a significant effect on ATU (t-statistic = 4.131, p-value = 0), and ATU has a significant effect on BI (t-statistic = 5.059, p-value = 0). PU has a significant effect on BI (t-statistic = 5.875, p-value = 0) and BI has a positive effect on AU (t-statistic = 8.898, p-value = 0). The results of the hypothesis test indicate that most of the relationships between variables in the TAM are significant, with positive influences between PEU and PU, PEU and ATU, ATU and BI, and BI and AU. However, the relationship between PU and ATU does not show significance, indicating that perceived usefulness does not directly influence attitudes towards technology use. This acceptance contributes to the development of policies and strategies for the acceptance of navigation technology in the shipping sector.

Dinasti International Journal of Education Management And Social ScienceVol. 7(1)
Sepuluh Nopember Institute of Technology (ID)
Openalex Percentile: Top 65%
Technology Assessment and Management
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