Root Cause Analysis: Using Theory of Constraints Application to Measure the Impact of Employee Demographics on the Adoption of Information Technology Equipment

Abstract

This paper uses Theory of Constraints (TOC) improvement questions to measure how employees' demographics influence their adoption of various Information Technology Equipments (ITEs) in organisations. Survey questions in the form of a Likert scale are prepared to address these possible effects. The number of total participants was 216 and they were from two universities: Argosy University, Atlanta campus; and Brigham Young University, Provo campus. The research question for this study asked how the factors of age, gender, race, and education level positively or negatively influence employees' attitudes toward ITE adoption at their place of employment. A Pearson product-moment correlation coefficient was computed to assess the relationships and the Kruskal–Wallis and the Mann–Whitney U tests were used to compare the independent groups. The results suggested that there was a correlation among age, race and education level and indicated that age negatively correlates with employees' level of comfort with ITE use. There was a statistically significant difference at the 0.01 level between White and Black participants.