Online purchasing intention using the technology acceptance model (TAM) approach Cover Image

Online purchasing intention using the technology acceptance model (TAM) approach
Online purchasing intention using the technology acceptance model (TAM) approach

Author(s): Heny Sidanti, Fulgentius Danardana Murwani, Ery Tri Djatmika
Subject(s): Economy, Business Economy / Management, Micro-Economics, Marketing / Advertising, ICT Information and Communications Technologies
Published by: Institute of Society Transformation
Keywords: E-commerce; Online Purchasing Intention; Technology Acceptance Model (TAM); Micro, Small and Medium-Sized Enterprises;

Summary/Abstract: The purpose of this research is to exposure review about several factors of online Purchasing Intention as a form of how consumers behave in accepting digital technology and have an interest in doing behavior. In fact, that the individuals tend to do this behavior, this study uses the Technology Acceptance Model (TAM) approach. The importance of understanding one’s behavior in acceptance technology, the technology acceptance model known as the TAM is growing along with the advancement of information technology itself and changes in user behavior, TAM Model 1, the actual technology use variable is influenced by the perceived usefulness variable, perceived ease of use, attitude towards using technology, and behavioral intention to use. Due to the actual technology use cannot be observed by researchers using a list of questions, it is replaced by the name of perceived usage, TAM 2, external variables are added directly, namely social influence processes which include Subjective Norm and Image with moderator variables Voluntariness and Experience; and cognitive instrumental processes which include Job Relevance, Output Quality, and Result Demonstrability. TAM 3, by adding one of them the Computer Self-Efficacy variable as an external variable that affects Perceived Ease of Use, Online Purchasing Intention influenced by the existence of transactional interest in online.

  • Issue Year: 193/2021
  • Issue No: 9-10
  • Page Range: 85-91
  • Page Count: 7
  • Language: English