J-FINDER – A WEB-ORIENTED JOB SEARCH DECISION SUPPORT SYSTEM
DOI:
https://doi.org/10.28925/2663-4023.2024.25.355378Keywords:
information system; web-based system; decision support system; web application; database; data analysis, software; comfortable interface, intellectualization and automation of processes.Abstract
The purpose of the article is to research modern trends in the development of decision-making support systems (DSS) in the field of job search (according to many criteria), to provide options for recommendations regarding vacancies that are most adequate for the job seeker, his opportunities and needs, the development of appropriate software and the identification of promising directions for the development of system development technologies support for decision-making. Research methods include an analysis of modern approaches to creating web-based systems and data analysis to ensure the effectiveness and accuracy of the recommendations that will be provided by DSS. The main task of the system is to take intothe account not only educational indicators (level of theoretical and practical knowledge, competences, skills and abilities, etc.) and existing work experience, but also personal interests and preferences of users. The author's web-oriented DSS J-Finder aims to match user profiles with available vacancies on the labor market. Special attention is paid to the collection and processing of data on the labor market, which allows the J-Finder system to provide relevant and meaningful recommendations to users (job seekers or employees of personnel departments of enterprises). The scientific result of the research is the creation of the author's web-oriented DSS J-Finder, which combines an administrative panel, a suitable job search web application, recommendation services, statistics analysis and database. The administrative panel manages the content of the database, and therefore the content of the web-oriented DSS (and, accordingly, the web application). Data analysis services generate relevant statistics for employers and job seekers in visual or tabular form. The decision support process takes the form of vacancies recommended to each user, according to their interests, education and professional skills. The conclusion of the conducted research is the following: the developed web-oriented DSS in the field of finding a suitable job is software for supporting processes that nowadays have a very large and important practical (economic, social, etc.) significance. Job search is a difficult process and requires a lot of time and effort from a person, therefore the automation of such processes with the provision of appropriate recommendations for further decision-making regarding the suitability/incompatibility of the proposed vacancies is very useful for job seekers, which will make this activity more convenient, simpler, more informative and comfortable.
Downloads
References
Power, D. J. (2002). Decision Support Systems: Concepts and Resources for Managers.
Holsapple, C. W., & Whinston, A. B. (2011). Decision Support Systems: Theory and Application. NATO ASI F, 31. https://doi.org/10.1007/978-3-642-83088-4
Wallace, M. (2020). Building effective decision support systems. https://doi.org/10.1007/978-3-030-41732-1
Abraham, A., & Grosan, C. (2011). Intelligent Systems: A Modern Approach. https://doi.org/10.1007/978-3-642-21004-4
Pei, J., Han, J., Tong, H. (2022). Data Mining: Concepts and Techniques. Morgan Kaufmann.
Sauter, V. L. (2011). Decision Support Systems for Business Intelligence.
Holsapple, C. W., & Burstein, F. (2008). Handbook on Decision Support Systems 1: Basic Themes https://doi.org/10.1007/978-3-540-48713-5
Burstein, F., & Holsapple, C. W., (2008). Handbook on Decision Support Systems 2: Variations. https://doi.org/10.1007/978-3-540-48716-6
Mateou, N. H., Andreou, A. S. (2008) A framework for developing intelligent decision support systems using evolutionary fuzzy cognitive maps. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 19(2), 151–170. https://dl.acm.org/doi/10.5555/1369389.1369395
Bandyopadhyay, S. (2023). Decision Support System: Tools and Techniques. https://doi.org/10.1201/9781003307655
Ponniah, P. (2003). Database Design and Development: An Essential Guide for IT Professionals.
Freeman, A. (2022). Pro ASP. NET Core 6: Develop Cloud-Ready Web Applications Using MVC, Blazor, and Razor Pages. https://doi.org/10.1007/978-1-4842-7957-1
Hoffman, A. (2020). Web Application Security: Exploitation and Countermeasures for Modern Web Applications.
Dayley, B., Dayley, B., & Dayley, C. (2017). Learning Angular: A Hands-On Guide to Angular 2 and Angular 4.
Duckett, J. (2011). HTML and CSS: Design and Build Websites.
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Ольга Ткаченко, Костянтин Ткаченко, Олександр Ткаченко, Владислав Владислав

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.