TY - GEN
T1 - Analysis of Factors Affecting Adoption Intention on Smartwatch Adoption in Human and Technology Factor Perspective
AU - Edward,
AU - Hidayanto, Achmad Nizar
AU - Samik-Ibrahim, Rahmat M.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Technology becomes a common part of human activities and helps humans work. The wearable device, such as a smartwatch, is one of the applied technologies worn as accessories or embedded in clothing. This study will discuss the analysis of the determinant factors that influence smartwatch adoption intentions in technological and human factors. The technological factor that influences the user's acceptance of technology is examined using Unified Theory of Acceptance and Use of Technology (UTAUT). Meanwhile, the human factor that consists of the image and the personal innovativeness factor will be analyzed using the Theory of Planned Behavior (TPB). Then, this study applies the Technology Acceptance Model (TAM) to determine whether the factors used in this study positively affect smartwatch adoption intentions and the data will be analyzed using the statistical technique of Structural Equation Modeling (SEM). We found that Perceived informativeness, image (social status), and personal innovativeness are significantly affecting perceived usefulness. Furthermore, perceived ease of use also has significantly affected the perceived usefulness. The result also shows that perceived usefulness has a significant influence on smartwatch adoption (adoption intention). We also identify several priority strategies to increase the smartwatch adoption.
AB - Technology becomes a common part of human activities and helps humans work. The wearable device, such as a smartwatch, is one of the applied technologies worn as accessories or embedded in clothing. This study will discuss the analysis of the determinant factors that influence smartwatch adoption intentions in technological and human factors. The technological factor that influences the user's acceptance of technology is examined using Unified Theory of Acceptance and Use of Technology (UTAUT). Meanwhile, the human factor that consists of the image and the personal innovativeness factor will be analyzed using the Theory of Planned Behavior (TPB). Then, this study applies the Technology Acceptance Model (TAM) to determine whether the factors used in this study positively affect smartwatch adoption intentions and the data will be analyzed using the statistical technique of Structural Equation Modeling (SEM). We found that Perceived informativeness, image (social status), and personal innovativeness are significantly affecting perceived usefulness. Furthermore, perceived ease of use also has significantly affected the perceived usefulness. The result also shows that perceived usefulness has a significant influence on smartwatch adoption (adoption intention). We also identify several priority strategies to increase the smartwatch adoption.
KW - SEM
KW - TAM
KW - Technology Adoption
KW - TPB
KW - UTAUT
KW - Wearable Device
UR - http://www.scopus.com/inward/record.url?scp=85125064861&partnerID=8YFLogxK
U2 - 10.1109/ICCED53389.2021.9664836
DO - 10.1109/ICCED53389.2021.9664836
M3 - Conference contribution
AN - SCOPUS:85125064861
T3 - 7th International Conference on Computing, Engineering and Design, ICCED 2021
BT - 7th International Conference on Computing, Engineering and Design, ICCED 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Computing, Engineering and Design, ICCED 2021
Y2 - 5 August 2021 through 6 August 2021
ER -