EXPLORING PERSONAL INNOVATIVENESS AS A DRIVING FACTOR IN THE TECHNOLOGY ACCEPTANCE MODEL FOR MYTELKOMSEL IMPROVING

This study aims to analyze the role of Personal Innovativeness in influencing the actual use of the MyTelkomsel application through an extended Technology Acceptance Model (TAM). In this model, Personal Innovativeness is positioned as a core construct that influences three key user perceptions: Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment. A total of 355 respondents participated in the study, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that seven out of eight hypothesized paths between constructs in the model demonstrate statistically significant effects. The only non-significant relationship is found between Perceived Ease of Use and Attitude Toward Use, suggesting that ease of use is no longer a major determinant of user attitudes toward digital applications, possibly because it is now perceived as a basic standard in technology usage. Conversely, Personal Innovativeness consistently exerts a significant influence on all three key perceptions, which in turn affect users’ attitudes, intentions, and actual behaviors. These results underscore the strategic role of innovative personal characteristics in driving adoption and active engagement with digital applications. The practical implications highlight the importance of user segmentation based on innovation levels, the development of enjoyable features, and the refinement of user experience to promote sustained engagement within digital ecosystems such as MyTelkomsel.

Authors

Institutions

Publication Details

Journal
Multidisciplinary Indonesian Center Journal
Published
2025-08-28
DOI
https://doi.org/10.62567/micjo.v2i3.1037
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EXPLORING PERSONAL INNOVATIVENESS AS A DRIVING FACTOR IN THE TECHNOLOGY ACCEPTANCE MODEL FOR MYTELKOMSEL IMPROVING

Siska Noviaristanti, Dira Yulianti
Multidisciplinary Indonesian Center Journal
Technology Adoption and User Behaviour
article

EXPLORING PERSONAL INNOVATIVENESS AS A DRIVING FACTOR IN THE TECHNOLOGY ACCEPTANCE MODEL FOR MYTELKOMSEL IMPROVING

Siska Noviaristanti, Dira Yulianti
article en

Abstract

This study aims to analyze the role of Personal Innovativeness in influencing the actual use of the MyTelkomsel application through an extended Technology Acceptance Model (TAM). In this model, Personal Innovativeness is positioned as a core construct that influences three key user perceptions: Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment. A total of 355 respondents participated in the study, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that seven out of eight hypothesized paths between constructs in the model demonstrate statistically significant effects. The only non-significant relationship is found between Perceived Ease of Use and Attitude Toward Use, suggesting that ease of use is no longer a major determinant of user attitudes toward digital applications, possibly because it is now perceived as a basic standard in technology usage. Conversely, Personal Innovativeness consistently exerts a significant influence on all three key perceptions, which in turn affect users’ attitudes, intentions, and actual behaviors. These results underscore the strategic role of innovative personal characteristics in driving adoption and active engagement with digital applications. The practical implications highlight the importance of user segmentation based on innovation levels, the development of enjoyable features, and the refinement of user experience to promote sustained engagement within digital ecosystems such as MyTelkomsel.

Multidisciplinary Indonesian Center JournalVol. 2(3)
Telkom University (ID)
Openalex Percentile: Top 77%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EXPLORING PERSONAL INNOVATIVENESS AS A DRIVING FACTOR IN THE TECHNOLOGY ACCEPTANCE MODEL FOR MYTELKOMSEL IMPROVING — Siska Noviaristanti, Dira Yulianti · Multidisciplinary Indonesian Center Journal (2025) | TGRS Research Map | TGRS