Year: 2025
Type: article
Study design: Observational Study
Abstract: This study focused on the challenges encountered by the people in Metro Manila as automation changes the nature of work. Purposive sampling was utilized in the study, with this non-probability sampling method, respondents were chosen according to particular traits or standards that are significant to the study. The researchers concentrated on Metro Manila workers from various industries impacted by the socioeconomic effects of automation. The study used a correlational design to investigate the relationships among respondent demographics, automation trends, and the socioeconomic impact of job displacement. A self-made survey questionnaire was used to collect data from 100 participants using a quantitative approach. This paper highlighted key trends in automation including natural language processing, blockchain technology, 3D printing, artificial intelligence, robotic process automation, and the Internet of Things; the socioeconomic effects of job displacement were also examined including questions of economic mobility, job security, and income inequality. On the key trends of automation, there are two groups of variables where there is a significant relationship, artificial intelligence and nature of work; blockchain technology, and location. Lastly, on the other hand, in the assessment of the socioeconomic impact of job displacement, almost all of the variables did not show significance, except for one, which is income inequality and location.
Authors: Sheenalyn M. Gabriel, Gabriela C. Flores, Emmanuel G. Peregrino, Mark Anthony G. Viray
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4407595644