Status : Verified
| Personal Name | Pingol, Eduardo V. |
|---|---|
| Resource Title | The Future of a data science driven eGovPH app through technology assessment and scenario building assisted with Rstudio and data scraping techniques |
| Date Issued | 9 December 2025 |
| Abstract | This research study aimed to conduct a data-driven technology assessment and develop scenario building for the eGovPH application, the flagship digital initiative of the Philippine National Government designed to advance public sector transformation through digital systems and solutions. The study also evaluated whether the eGovPH App fulfilled its intended purpose of enhancing government services in line with Republic Act No. 11032 (Ease of Doing Business and Efficient Government Service Delivery Act of 2018). The primary objective was to examine the app’s current implementation and utilization by assessing its technological and social dimensions while identifying areas for improvement. In doing so, the study sought to provide a clearer understanding of how the eGovPH App empowered Filipino citizens and built confidence in accessing government services digitally. Natural Language Processing (NLP) and data science techniques, including data mining and API-driven web scraping, were applied to collect public comments and discussions about the eGovPH App from selected social media platforms. The data underwent exploratory data analysis (EDA), sentiment analysis and thematic analysis to extract insights from unstructured feedback, which were cleaned and processed using RStudio and Excel. A PESTEL analysis was subsequently applied to evaluate the Political, Economic, Social, Technological, Environmental, and Legal factors influencing the app’s development and adoption. Results indicated that user sentiment toward the eGovPH App was generally positive across most platforms, with usability and convenience emerging as dominant themes. However, technical issues related to registration, verification, and system stability remained the primary sources of negative feedback. Politically driven and potentially inorganic discourse was also observed, presenting reputational and adoption risks that required careful management. Using scenario-building methodologies, fo |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | Scenario building; Technology management; Data scraping; eGov; PESTEL |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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Category : P - Author wishes to publish the work personally.
Access Permission : Limited Access