Technology Adoption and Peer Influence on Student AI Research Tools Purchase Intention

Technological advancement has brought changes into how researchers conduct their research, Artificial Intelligence (AI) is one of the most impactful technologies that change the process. Through the lens of Technology Adoption Model (TAM) Framework, this research is aimed to uncover the relationship between technology adoption factors and peer influence in students’ intention toward buying AI research tools. Previous research is still limited toward explaining technology adoption toward students' purchase intention and neglected social factors such as peer influence, therefore reinforcing the importance of the research. The study will be conducted on 100 State University of Jakarta students and Analysis of the data will use Partial Least Square (PLS) Structural Equation Model to explain the connection between variables.

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Publication Details

Journal
Proceeding of International Student Conference on Business, Education, Economics, Accounting, and Management.
Published
2025-04-24
DOI
https://doi.org/10.21009/isc-beam.013.59
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
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article

Technology Adoption and Peer Influence on Student AI Research Tools Purchase Intention

Osly Usman, Zidane Ramadhan
Proceeding of International Student Conference on Business, Education, Economics, Accounting, and Management.
Technology Adoption and User Behaviour
article

Technology Adoption and Peer Influence on Student AI Research Tools Purchase Intention

Osly Usman, Zidane Ramadhan
article en

Abstract

Technological advancement has brought changes into how researchers conduct their research, Artificial Intelligence (AI) is one of the most impactful technologies that change the process. Through the lens of Technology Adoption Model (TAM) Framework, this research is aimed to uncover the relationship between technology adoption factors and peer influence in students’ intention toward buying AI research tools. Previous research is still limited toward explaining technology adoption toward students' purchase intention and neglected social factors such as peer influence, therefore reinforcing the importance of the research. The study will be conducted on 100 State University of Jakarta students and Analysis of the data will use Partial Least Square (PLS) Structural Equation Model to explain the connection between variables.

Proceeding of International Student Conference on Business, Education, Economics, Accounting, and Management.Vol. 3(1)
State University of Jakarta (ID)
Openalex Percentile: Top 91%
Technology Adoption and User Behaviour
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