1. Can A YouTube Video Generate Comparable User Acceptance Results as a Traditional Testing Instrument
Tom Chappelear
Master of Science
Management Info Systems
Thesis Committee
Dr. Ann Fruhling (Chair)
Dr. Ryan Schuetzler
Dr. Leah Pietron

2. Agenda Research Background Purpose Statement Research Method
Importance of Study

3. Types of Software Acceptance Testing
User Acceptance
Mockups Prototypes
Discount Usability
Competitive Usability
A/B Testing
Universal Usability
Portable Labs
Remote Usability
Can-You-Break It

4. System Design & Analysis

5. Problem Statement
Assessing project feasibility includes user acceptance testing to help Entrepreneurs make technology investment decisions; However, well-funded companies have an advantage over startups and entrepreneurs who lack skills and resources to fully test user acceptance.
Unlike established large businesses, they lack the staff and resources to fully test IT Systems
Well-funded companies have an advantage over startups and entrepreneurs who lack the resources to fully measure user acceptance

6. Literature Review Technology Adoption Models2
User Acceptance of Information Technology: Toward a Unified View (UTAUT) Model – Performance Expectancy, Effort Expectancy, Social Influence & Facilitating Conditions
Self-Instruction Training5
Self-instruction Training Video
Traditional CPR Training
Entrepreneur IT System Investment Decision
System Design Principles – Project Feasibility1

7. Purpose Statement
The main objective of this study is to determine if a YouTube video is comparable to a traditional hands-on user acceptance instrument

8. Research Hypothesis Hypothesis Independent Variable Dependent Variable
Hypothesis
Independent Variable
Dependent Variable H1
UTAUT testing generates performance expectancy measures that are similar for a YouTube instrument versus direct hands-on interaction.
Performance Expectancy
Behavioral Intention H2
UTAUT testing generates effort expectancy measures that are similar for a YouTube instrument versus direct hands-on interaction.
Effort Expectancy H3
UTAUT testing generates behavior intention measures that are similar for a YouTube instrument versus direct hands-on interaction.
Actual Usage

9. Research Method Validated UTAUT Survey Participant Recruitment
User Acceptance Instruments
Online Survey
Survey Analysis

10. Results Analysis
Descriptive statistics are used to report mean, standard deviation, and multiple regression for perceived ease of use, usefulness, and system usability
Result Analysis
Tables reporting Demographic categories and standard deviations
Descriptive statistics and ANOVA analysis to analyze user acceptance and system usability
Evaluate the impact of a YouTube video instrument compared to a traditional hands-on user acceptance instrument

11. Importance of the Research
Compares user acceptance results by evaluating a YouTube video instrument versus a direct hands-on interaction instrument
Evaluates a low-cost user acceptance testing instrument that entrepreneurs can use to assess operational feasibility that supports better IT system investment decisions