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

Agenda Research Background Purpose Statement Research Method Importance of Study

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

System Design & Analysis

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

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

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

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

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

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

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