Date of Conferral

2022

Degree

Ph.D.

School

Information Systems and Technology

Advisor

Branford McAllister

Abstract

Despite massive company investments in human–computer interaction devices and software, such as Web 3.0 technologies, engineers are not demonstrating measurable performance and productivity increases. There is a lack of knowledge and understanding related to the motivation of engineers to use Web 3.0 technologies including the semantic web and cloud applications for increased performance. The purpose of this quantitative correlational study was to investigate whether the use of human–computer interaction devices predict Web 3.0 skills among engineers. Solow’s information technology productivity paradox was the theoretical foundation for this study. Convenience sampling was used for a sample of 214 participants from metropolitan areas of Georgia. Multiple linear regression was used to develop a predictive model and evaluate the influence on Web 3.0 skills of 10 independent variables measuring self-reported reliance on and competence with five human–computer interaction devices, two aggregate indices of reliance and competence, and two-factor interactions. Results indicated a significant linear relationship between several predictors (laptop reliance, tablet reliance, desktop competence, wearable competence, and five interactions) and the dependent variable (Web 3.0 skills). The results may enable engineering managers to make more informed, strategic decisions regarding the types of technology to invest in to improve engineer skills and productivity. The results of this study have potential implications for positive social change by helping engineering organizations overcome the information technology productivity paradox to reap the benefits from engineers who are more motivated and skilled.

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