Artificial Intelligence and Project Management: Empirical Overview, State of the Art, and Guidelines for Future Research-Reference-Cited by-同舟云学术

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

Published:2024-01-09 Issue:1 Volume:55 Page:9-15
ISSN:8756-9728
Container-title:Project Management Journal
language:en
Short-container-title:Project Management Journal

Author:

Müller Ralf¹^ORCID,Locatelli Giorgio²^ORCID,Holzmann Vered³^ORCID,Nilsson Marly⁴,Sagay Temisan⁵

Affiliation:

1. BI Norwegian Business School, Oslo, Norway

2. Politecnico di Milano - School of Management, Milan, Italy

3. The Academic College of Tel Aviv Yaffo, Tel Aviv, Israel

4. Project Management Institute, Gothenburg, Sweden

5. Project Management Institute, Ottawa, Canada

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.

Publisher

SAGE Publications

Link

http://journals.sagepub.com/doi/pdf/10.1177/87569728231225198

Reference63 articles.

1. A review of artificial intelligence based risk assessment methods for capturing complexity-risk interdependencies

2. Generating Research Questions Through Problematization

3. Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies

4. Forecasting contractor's deviation from the client objectives in prequalification model using support vector regression

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