Title page for etd-0707118-233757


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URN etd-0707118-233757
Author Ta-Wei Hou
Author's Email Address No Public.
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Department Information Management
Year 2017
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Factors Affecting Investors’ Intention to use Robo-advisors
Date of Defense 2018-07-20
Page Count 89
Keyword
  • robo-advisor
  • behavioral intention
  • Unified Theory of Acceptance and Use of Technology 2 ( UTAUT2)
  • Abstract In recent years, "robo-advisor" have become popular worldwide. It enables investors to get investment advices or financial management with low cost. The main purpose of this study aims at exploring the factors affecting the investor’s intention to use robo-advisor in Taiwan. The study also attempts to validate the appropriateness of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) within the context of the intention to use robo-advisor. A questionnaire was developed and modified based on UTAUT2 original scale. The questionnaire was distributed through an internet questionnaire website to collect 517 samples for quantitative analysis. The main statistical and analytical methods, including Descriptive Statistical Analysis, Reliability Analysis, Confirmatory Factor Analysis, Multiple Regressions Analysis and Path Analysis, were utilized to evaluate the collected data.
    The results of this study indicate that the four predictors relevant to this study (Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions) were significant and explained a significant amount of the variances in predicting investors’ behavioral intention to adopt robo-advisor. However, Hedonic Motivation, Price Value and Habit have no significant influence on behavioral intention.
    The results also reveal that risk attitude and different types of robo-advisors moderated the relationships between the independent variables and the dependent variable (Behavioral Intention). This study finally makes some suggestions to the financial sector for promoting robo-advisor in Taiwan.
    Advisory Committee
  • Chao-Min Chiu - chair
  • Yi-Ling Lin - co-chair
  • Ting-Peng Liang - advisor
  • Files
  • etd-0707118-233757.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2018-08-08

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