{"title":"The Relevance of Large Language Models for Project Management","authors":"Stamatis Karnouskos","doi":"10.1109/OJIES.2024.3412222","DOIUrl":null,"url":null,"abstract":"The rise of artificial intelligence, particularly the emergence of large language models (LLMs) like ChatGPT, continuously reveals numerous advantages across various domains. However, the area of project management has not yet been sufficiently explored. This study fills the research gap by conducting an empirical evaluation of three well-known LLMs: OpenAI's ChatGPT-3.5 and ChatGPT-4, as well as Google's Bard. The evaluation involves subjecting these LLMs to tests designed to prepare professionals for project management certification by the Project Management Institute. The findings cast a positive light on all three LLMs, with each model achieving scores exceeding 82%. Key insights acquired include: LLMs demonstrate the ability to effectively answer project management certification exam questions; LLMs and project managers should be viewed as a dynamic and complementary partnership; and project management certification should evolve to include an assessment of how project managers collaborate with LLMs to enhance project management.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"5 ","pages":"758-768"},"PeriodicalIF":5.2000,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10553643","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10553643/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The rise of artificial intelligence, particularly the emergence of large language models (LLMs) like ChatGPT, continuously reveals numerous advantages across various domains. However, the area of project management has not yet been sufficiently explored. This study fills the research gap by conducting an empirical evaluation of three well-known LLMs: OpenAI's ChatGPT-3.5 and ChatGPT-4, as well as Google's Bard. The evaluation involves subjecting these LLMs to tests designed to prepare professionals for project management certification by the Project Management Institute. The findings cast a positive light on all three LLMs, with each model achieving scores exceeding 82%. Key insights acquired include: LLMs demonstrate the ability to effectively answer project management certification exam questions; LLMs and project managers should be viewed as a dynamic and complementary partnership; and project management certification should evolve to include an assessment of how project managers collaborate with LLMs to enhance project management.
期刊介绍:
The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments.
Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.