International Journal of Artificial Intelligence Research
Vol 6, No 1 (2022): June 2022

The Symmetrical and Asymmetrical Relationship of Technology Acceptance Model (TAM) on Consumer Emotional Value, and Service Innovation in Supporting Consumer Purchase Decisions

Nurliina Nurlina (STIMI YAPMI, Makassar)
Aditya Halim Perdana Kusuma Putra (Universitas Muslim Indonesia)



Article Info

Publish Date
23 Jun 2022

Abstract

This study aims to determine the symmetrical and asymmetrical relationships between technology, acceptance model (TAM), and consumer emotional value and service innovation in supporting consumer purchase decisions. This research approach uses quantitative research. The primary data sources used in this study are preliminary data obtained from questionnaires and secondary data. This research was conducted in the city of Makassar. The population in this study is based on the infinite population, with a sample of 231 respondents spread across various provinces in Indonesia. Data analysis used validity, reliability, R-square, F-square, direct effect, and partial least square (PLS) hypothesis submission. The results of this study indicate that the Technology Acceptance Model (TAM) variable has a positive and significant effect on the Emotional Value and Service Innovation variables. Likewise, the Technology Acceptance Model (TAM) variable positively and significantly impacts the Consumer Purchase Decision variable by making the Emotional Value variable and Service Innovation intervene. The results of this study also show that the Technology Acceptance Model (TAM) variable has no positive and insignificant effect on the Consumer Purchase Decision variable.

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Journal Info

Abbrev

IJAIR

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) ...