Articlegold2022

Determining the Factors Affecting a Career Shifter’s Use of Software Testing Tools amidst the COVID-19 Crisis in the Philippines: TTF-TAM Approach

Ardvin Kester S. Ong · Yogi Tri Prasetyo · Ralph Andre C. Roque · Jan Gabriel I. Garbo · Kirstien Paola E. Robas · Satria Fadil Persada +1 more

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Technology Adoption and User Behaviour Usability and User Interface Design Gender and Technology in Education

Abstract

The restrictions of the ongoing COVID-19 pandemic resulted in the downturn of various industries and in contrast a massive growth of the information technology industry. Consequently, more Filipinos are considering career changes to earn a living. However, more people still need to be upskilled. This study combines the extended Technology Acceptance Model and Task Technology Fit framework to determine factors affecting a career shifter’s use of software testing tools and its impact on perceived performance impact amidst the COVID-19 pandemic in the Philippines. A total of 150 software testers voluntarily participated and accomplished an online questionnaire consisting of 39 questions. The Structural Equation Modeling and Deep Learning Neural Network indicated that Task Technology Fit had a higher effect on Perceived Performance Impact. Moreover, Task Technology Fit positively influenced Perceived Usefulness. Computer Self-Efficacy was a strong predictor of Perceived Ease of Use. Perceived Ease of Use confirmed the Technology Acceptance Model framework as a strong predictor of Actual System Use. Intention to Use, Perceived Usefulness, Actual Use, and Subjective Norm were also significant factors affecting Perceived Performance Impact. This study is the first to explore the career shifter’s use of software testing tools in the Philippines. The framework would be very valuable in enhancing government policies for workforce upskilling, improving the private sector’s training and development practices, and developing a more competitive software testing tool that would hasten users’ adaptability. Lastly, the methodology, findings, and framework could be applied and extended to evaluate other technology adoption worldwide.

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1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 1999Evaluating the use of exploratory factor analysis in psychological research.2000Structural Equation Modeling and Regression: Guidelines for Research Practice 1995Task-Technology Fit and Individual Performance 2022Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example 1999Extending the technology acceptance model with task–technology fit constructs 2016Applications of structural equation modeling (SEM) in ecological studies: an updated review

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