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Predicting and explaining the adoption of online trading: An empirical study in Taiwan

Decision Support SystemsPublished 22 February 2009
Ming-Chi Lee
Citations241
SJR quartileQ1
SJR score2.37
SNIP2.59

TL;DR

A research model which integrates perceived risk, perceived benefit and trust, together with technology acceptance model (TAM) and theory of planned behavior (TPB) perspectives to predict and explain investors' intention to use online trading is developed.

Abstract

This study investigates how stock investors perceive and adopt online trading in Taiwan. We developed a research model which integrates perceived risk, perceived benefit and trust, together with technology acceptance model (TAM) and theory of planned behavior (TPB) perspectives to predict and explain investors' intention to use online trading. The model is examined through an empirical study involving 338 subjects using structural equation modeling techniques. The results provide support for the proposed research model and confirm its robustness in predicting investors' intentions to adopt online trading. In addition, this study provides some useful suggestions and/or implications for the academician and practitioners in the area of online trading.

Keywords

Social SciencesDecision SciencesBusiness, Management and Accounting