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Title:Leveraging ChatGPT for enhanced logical analysis in the theory of constraints thinking process
Authors:ID Aljaž, Tomaž (Author)
Files:URL https://doi.org/10.2478/orga-2024-0014
 
.pdf RAZ_Aljaz_Tomaz_2024.pdf (2,21 MB)
MD5: 425356D704431ADD434E1E08125A33BF
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Background/Purpose: Artificial intelligence (AI) has traditionally been used for quantitative analysis using explicit data. However, much of the information critical to decision making remains undocumented and is not stored in a structured way. This study explores the integration of AI, specifically ChatGPT, into Theory of Constraints (TOC) Thinking Process (TP) tools. Method: In this study, we applied ChatGPT to a real-world IT project management case using a variety of research methods, including international literature analysis, observation, and personal experience. The use of the TOC TP allowed us to understand the decision-making process of ChatGPT and to systematically explore its advantages and limitations in creating logical trees of TOC TP. Results: ChatGPT significantly enhanced efficiency and depth in TOC TP data collection and analysis, effectively addressing logical leaps for more coherent structures. It also promoted deeper analytical thinking and aided root cause identification. The integration of ChatGPT into the TOC TP process led to faster decision-making, reduced bias, and clearer analysis. Challenges of ChatGPT including the need for human oversight, specific TOC TP training, and ethical considerations were noted. Conclusion: This study provides an initial investigation into the use of ChatGPT in TOC TP tools. The results suggest that ChatGPT has the potential to be a valuable tool for organizations seeking to improve their decision making and performance. However, further research is needed to validate these findings and explore the full potential of AI in TOC TP.
Keywords:ChatGPT, artificial intelligence, Theory of Constraints, theory of constraints thinking process, logical analysis, decision making, structured analysis framework
Publication date:01.01.2024
Year of publishing:2024
Number of pages:str. 202-214
Numbering:Vol. 57, iss. 2
PID:20.500.12556/DKUM-94301 New window
UDC:004.8
ISSN on article:1318-5454
COBISS.SI-ID:199502339 New window
DOI:10.2478/orga-2024-0014 New window
Publication date in DKUM:13.08.2025
Views:183
Downloads:7
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Organizacija : revija za management, informatiko in kadre
Shortened title:Organizacija
Publisher:Moderna organizacija
ISSN:1318-5454
COBISS.SI-ID:610909 New window

Secondary language

Language:Slovenian
Title:Uporaba ChatGPT za napredno logično analizo v miselnem procesu Teorije omejitev
Abstract:Ozadje in namen: Umetna inteligenca se tradicionalno uporablja za kvantitativno analizo z uporabo eksplicitnih podatkov. Pri tem pa veliko informacij ključnih za odločanje ostaja nedokumentiranih in niso shranjene na strukturiran način. Ta študija raziskuje vključevanje umetne inteligence, zlasti ChatGPT, v orodja miselnega procesa (ang. Thinking Process - TP) Teorije omejitev (ang. Theory Of Constraints - TOC). Metodologija: V tej študiji smo uporabili ChatGPT v dejanskem primeru upravljanja IT projektov z uporabo različnih raziskovalnih metod, vključno z analizo mednarodne literature, opazovanjem delovnega okolja in osebnimi izkušnjami. Uporaba TP TOC nam je omogočila razumeti proces odločanja ChatGPT ter sistematično raziskati njegove prednosti in omejitve pri oblikovanju logičnih dreves TP TOC. Rezultati: ChatGPT je znatno povečal učinkovitost in poglobljenost zbiranja in analize podatkov potrebnih za izvedbo logičnih dreves TOC TP ter učinkovito obravnaval logične pomanjkljivosti v njih. Spodbujal je tudi poglobljeno analitično razmišljanje in pomagal pri ugotavljanju temeljnih vzrokov. Vključitev ChatGPT v postopek TOC TP je omogočil hitrejše sprejemanje odločitev, zmanjšanje pristranskosti in jasnejšo analizo. Ugotovljeni so bili nekateri izzivi povezani z uporabo ChatGPT, vključno s potrebo po človeškem nadzoru, posebnem usposabljanju s stališča TOC TP in etičnih vidikih. Zaključek: Študija predstavlja začetno raziskavo o uporabi ChatGPT v orodjih TOC TP. Rezultati kažejo, da lahko ChatGPT postane koristno orodje za organizacije, ki želijo izboljšati učinkovitost svojega odločanja. Da bi potrdili te ugotovitve in raziskali celoten potencial umetne inteligence v TOC TP, pa so potrebne nadaljnje raziskave.
Keywords:ChatGPT, umetna inteligenca, teorija omejitev, miselni proces teorije omejitev, logična analiza, odločanje, strukturiran analitični pristop


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  1. Organizacija

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