An Assessment of the Impact of Digitalization on Job Expansion, Financial Prospect and Hurdles of Working College Students
The main objective of this study is to determine whether there is a significant relationship between the respondents’ demographic profile and their Job expansion, financial prospects, and hurdles. The main objective of this study is to determine whether there is a significant relationship between the respondents’ demographic profile and their Job expansion, financial prospects, and hurdles. One hundred college-working students were selected to participate in the study. These participants were chosen based on their characteristics as long as they have been exposed to digital work and are currently college students. The design of this study followed a quantitative methodology, and it will test whether or not there is a relationship between the dependent variables and independent variables. The percentage, weighted mean, and chi-square test for independence were used to describe further and quantitatively investigate the data. The sampling scheme used in this study was Purposive. The study concluded that the respondents are predominantly female, with a middle-level monthly individual income, and had 7 to 12 months of work experience. The college working students express a positive outlook on job expansion through digitalization. The college working students were content with their financial prospects through digitalization. College-working students faced hurdles in their jobs due to digitalization. The college working students’ sex, age, employment status, and months of experience are insignificant to their work-study arrangements. However, their monthly income is significant to their work-study arrangements.
Authors
- Debbie May C. Bansale
- Pauline M. Sabit
- Christopher S. Go
- Carlos Miguel M. Mondejar
Publication Details
- Journal
- Cognizance Journal of Multidisciplinary Studies
- Published
- 2025-02-15
- DOI
- https://doi.org/10.47760/cognizance.2025.v05i02.004
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00