Analysis of Emotions in IT Projects Implemented in the Open Source Formula Using Machine Learning Methods

• Autorzy: Krzysztof S. Targiel
• Języki publikacji: EN

Abstrakty

EN

Purpose: The aim of this paper is to analyze possibilities of using automatic emotion analysis in project management.

Design/methodology/approach: The approach adopted involves literature review, analysis of data availability and availability of IT tools. Then, an attempt was made to adapt these elements for use in project management.

Findings: The paper discusses three fundamental research questions that arise in the context of using machine learning methods to analyze emotions in projects. The first of them concerned what data can be used for analysis. It was established that electronic communication in projects implemented in the open source formula is publicly available and susceptible to text analysis. The second question concerned the methods that can be used in the analysis of emotions. Here it was established that machine learning methods may be useful due to the problems described in the literature with the use of dictionary methods. The third question concerned the purposes for which the analysis of emotions can be useful. In response to this question, it was established that recognizing particularly destructive emotions, such as anger, can be useful in effective project management.

Research limitations/implications: The presented work is limited only to conceptual digressions on the possibility and usefulness of using methods of automatic emotion detection in project management. In future studies, these concepts should be verified on real data.

Originality/value: The novelty of paper is an attempt to define a framework for the use of known methods of automatic emotion detection in project management.(original abstract)

Słowa kluczowe

EN

Open source; Machine learning; Project management

PL

Otwarte oprogramowanie; Uczenie maszynowe; Zarządzanie projektem

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Numer: z. 177 Nowoczesność przemysłu i usług = Modernity of industry and services
• Strony: 645--654

Twórcy

autor

Krzysztof S. Targiel

• University of Economics in Katowice, Poland

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Identyfikatory

DOI

10.29119/1641-3466.2023.177.37