IDEAS home Printed from https://ideas.repec.org/a/bjb/journl/v14y2025i4p11-19.html
   My bibliography  Save this article

Design, Development, and Evaluation of a Critiquing-Based Mobile-Web Employment Recommender System

Author

Listed:
  • Randy C. Polancos

    (Faculty, Mindanao State University – Main, Marawi City, Philippines)

  • Cenie V. Malabanan, Ph.D.

    (Professor, Mindanao State University – Iligan Institute of Technology Iligan City, Philippines)

Abstract

With the growing availability of internet connectivity and the widespread use of smartphones and computers across the population, technology presents a powerful opportunity to bridge the communication gap between local household employers and skilled workers seeking employment. In response to this, the present research aims to design, develop, and evaluate a mobile-web application that serves as a platform connecting household employers with skilled workers. The main feature of the application is the use of a critiquing-based recommendation system, which assists employers in efficiently identifying workers who best match their needs and preferences. This mobile-web system is designed based on the Activity Theory Model (ATM) by Engeström (1987), which was utilized during the requirements-gathering phase. The design and development process were guided by the ADDIE model (Grafinger, 1988), ensuring a structured approach. The development process went through three iterative cycles, before producing the finalized version of the application. This version was then implemented and evaluated using the Usability Metric for User Experience (UMUX), a validated instrument by Finstad (2010), to assess effectiveness, efficiency, and user satisfaction. Results indicated strong user agreement regarding the application’s efficiency and effectiveness, with high levels of satisfaction reported. The application achieved a UMUX mean score of 94.3, indicating a high level of usability. Additionally, the critiquing feature achieved a weighted mean score of 6.8, indicating high user satisfaction with its functionality and relevance.

Suggested Citation

  • Randy C. Polancos & Cenie V. Malabanan, Ph.D., 2025. "Design, Development, and Evaluation of a Critiquing-Based Mobile-Web Employment Recommender System," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(4), pages 11-19, April.
  • Handle: RePEc:bjb:journl:v:14:y:2025:i:4:p:11-19
    as

    Download full text from publisher

    File URL: https://www.ijltemas.in/DigitalLibrary/Vol.14Issue4/11-19.pdf
    Download Restriction: no

    File URL: https://www.ijltemas.in/papers/volume-14-issue-4/11-19.html
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjb:journl:v:14:y:2025:i:4:p:11-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.