Artificial Intelligence and Project Management: Empirical Overview, State of the Art, and Guidelines for Future Research

IF 5.1 2区管理学 Q1 MANAGEMENT Project Management Journal Pub Date : 2024-01-09 DOI:10.1177/87569728231225198

Ralf Müller, Giorgio Locatelli, Vered Holzmann, Marly Nilsson, Temisan Sagay

引用次数: 0

Abstract

Desk rejections of artificial intelligence (AI)–related submissions to the Project Management Journal® (PMJ) are high. This article provides an overview and state-of-the-art snapshot on academic and practitioner work to derive at potential future research topics and guidelines on the execution and reporting of AI-related studies in project management.

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人工智能与项目管理：经验概述、技术现状和未来研究指南

向《项目管理期刊》（PMJ）投稿的人工智能（AI）相关论文的退稿率很高。本文概述了学术界和从业人员的工作，并介绍了最新的研究成果，从而为项目管理中人工智能相关研究的实施和报告提供了潜在的未来研究课题和指导方针。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Project Management Journal MANAGEMENT-

CiteScore

9.30

自引率

14.00%

发文量

期刊介绍： Project Management Journal (PMJ) is the academic and research journal of the Project Management Institute and features state-of-the-art research, techniques, theories, and applications in project management. Projects represent a growing population of human activity in large, small, private, and public organizations. Projects are used to execute and sustain today's organizational activities. They play a fundamental role as the engine of tomorrow's innovation, value creation, and strategic change. However, projects often fail to deliver their promise. PMJ addresses these multiple challenges and opportunities by encouraging the development and application of novel theories, concepts, frameworks, research methods, and designs. PMJ embraces contributions both from within and beyond project management to augment and transform theory and practice.