Digital Tools for Career Path Management Support: Project Decomposition and Impact Analysis (CROSBI ID 74138)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mrsic, Leo ; Brkljacic, Maja ; Balkovic, Mislav
engleski
Digital Tools for Career Path Management Support: Project Decomposition and Impact Analysis
Business and policy sector are changing its human resources (HR) policies globally, changing ways in policies and practices related to employee management and employer branding. The process of career path management was mostly manual work, often carried by individuals, professional agencies or HR officer in organization. In today’s challenging labour and educational market environment, this process is inefficient and slow with and often limited in success. In this paper data science-based decision support system for career path management support will be presented including components, project management challenges and impact analysis. System was built on national level in Croatia to support labour and education market stakeholders and ecosystem participants as advisory tool. Using data provided by system, parents, EDU institutions, policy makers and individuals can have deep and comprehensive overview on market dynamics and mechanics. In its essence this project is IT project but with increased pressure on project manager because it affects people with oscillations and inequality in their competences and motivations therefore in constant need for education of all participants and communication in and out of project and user groups. Paper will present characteristics of data science project with focus on predictions and decision-making techniques relevant for project success. Special focus will be given to team communication and project results impact analysis throughout the project. In this form paper can be great resource for future candidates to certify IPMA project management certificate in fields of computing and data science.
digital tools for career path management support ; project decomposition ; impact analysis ; data science in project management
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Podaci o prilogu
784-799.
objavljeno
Podaci o knjizi
6th International project management association SENET conference
Radujkovic, Mladen
Zagreb: Međunarodna Organizacija za Upravljanje Projektima (IPMA)
2022.
2352-5428