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Title:Primerjava izbora članov projektnega tima po metodologijah belbina in chatgpt
Authors:ID Koceva, Marijana (Author)
ID Werber, Borut (Mentor) More about this mentor... New window
ID Žnidaršič, Jasmina (Comentor)
Files:.pdf UN_Koceva_Marijana_2024.pdf (2,16 MB)
MD5: 986F7FF1709042186AE55533EE4F512A
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Namen tega diplomskega dela je izvesti primerjalno analizo med uporabo Belbinove programske rešitve in klepetalnim robotom ChatGPT pri sestavi projektih timov. Raziskava preučuje prednosti in slabosti obeh pristopov in njun način uporabe. Z raziskavo smo pridobili vpogled v to, kako se ta dva pristopa razlikujeta v procesu sestavljanja timov in kako lahko prispevata k učinkoviti sestavi timov v sodobnem poslovnem okolju. Skozi analizo njunih prednosti in slabosti smo identificirali optimalne strategije za sestavo projektnih timov, kar bo pripomoglo uporabnikom pri odločanju o uporabi obeh pristopov.
Keywords:umetna inteligenca, sestava timov, Belbinov model, ChatGPT, primerjava
Place of publishing:Maribor
Year of publishing:2024
PID:20.500.12556/DKUM-89350 New window
COBISS.SI-ID:205385731 New window
Publication date in DKUM:27.08.2024
Views:242
Downloads:50
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:04.07.2024

Secondary language

Language:English
Title:Comparison of the selection of project team members according to belbin and the chatgpt methodology
Abstract:This thesis aims to compare the use of Belbin's software solution and the ChatGPT chatbot in team project composition. The study examines the advantages and disadvantages of both approaches and their respective application methods. Through this research, we gained insights into how these two approaches differ in the team composition process and how they can contribute to effective team formation in the modern business environment. By analyzing their strengths and weaknesses, we identified optimal strategies for assembling project teams, which will assist users in deciding on using both approaches.
Keywords:artificial intelligence, team composition, Belbin model, ChatGPT, comparison


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