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Artificial Intelligence in project management: a review of AI’s usefulness and future considerations for the project profession

Artificial Intelligence in project management: a review of AI’s usefulness and future considerations for the project profession
Artificial Intelligence in project management: a review of AI’s usefulness and future considerations for the project profession
This report provides new insights into the state of artificial intelligence (AI) in project management. Through interviews with project professionals with experience of AI technology, the findings illustrate areas where AI has the potential to enhance the project profession and the justification for using this technology. Additionally, this report’s survey data from more than 280 project professionals provides insights into the perception of AI technology and projects. Based on the findings from the interviews and survey, the report identifies the benefits of using AI to include enhancing project decision-making, supporting problem-solving functions and being preferable used for planning activities. Respondents believe AI has a high perceived usefulness in complex projects, and a low ease of use. The report findings indicate that there is a positive correlation between the perceived usefulness of AI and a high level of project complexity. It is significant that professionals and organisations ensure the ease of use of AI is high to maximise the high perceived usefulness. The report acknowledges specific challenges and opportunities for the project profession when using AI. These include the need for training in how to use AI in projects and that the current understanding of AI among professionals varies significantly. To use the findings from this report effectively, a number of practical suggestions for professionals and organisations are given. Project professionals should be offered AI training and organisations should develop a ‘why’ for using AI by defining a clear problem formulation and should also develop effective data management processes.
Artificial Intelligence, Project Management, Decision Support Systems, Project Data Analytics, Complexity, Technology Acceptance Model
Association for Project Management
Dacre, Nicholas
90ea8d3e-d0b1-4a5a-bead-f95ab32afbd1
Kockum, Fredrik
e040a4bb-7c5a-4920-8cac-aabd6ffb34f9
Dacre, Nicholas
90ea8d3e-d0b1-4a5a-bead-f95ab32afbd1
Kockum, Fredrik
e040a4bb-7c5a-4920-8cac-aabd6ffb34f9

Dacre, Nicholas and Kockum, Fredrik (2022) Artificial Intelligence in project management: a review of AI’s usefulness and future considerations for the project profession Association for Project Management 28pp. (doi:10.61175/DOGX9829).

Record type: Monograph (Project Report)

Abstract

This report provides new insights into the state of artificial intelligence (AI) in project management. Through interviews with project professionals with experience of AI technology, the findings illustrate areas where AI has the potential to enhance the project profession and the justification for using this technology. Additionally, this report’s survey data from more than 280 project professionals provides insights into the perception of AI technology and projects. Based on the findings from the interviews and survey, the report identifies the benefits of using AI to include enhancing project decision-making, supporting problem-solving functions and being preferable used for planning activities. Respondents believe AI has a high perceived usefulness in complex projects, and a low ease of use. The report findings indicate that there is a positive correlation between the perceived usefulness of AI and a high level of project complexity. It is significant that professionals and organisations ensure the ease of use of AI is high to maximise the high perceived usefulness. The report acknowledges specific challenges and opportunities for the project profession when using AI. These include the need for training in how to use AI in projects and that the current understanding of AI among professionals varies significantly. To use the findings from this report effectively, a number of practical suggestions for professionals and organisations are given. Project professionals should be offered AI training and organisations should develop a ‘why’ for using AI by defining a clear problem formulation and should also develop effective data management processes.

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Published date: June 2022
Additional Information: This research is crucial for both researchers and project professionals as it delves into the integration of Artificial Intelligence (AI) within project management. It offers a comprehensive analysis of how AI technologies can enhance decision-making, optimise project planning, and improve data analysis across various project phases. Drawing on the Technology Acceptance Model (TAM), the study further evaluates the adoption rates and practical usefulness of AI tools, addressing common barriers such as training needs and technology acceptance. For researchers, this presents a structured inquiry into emergent AI applications and their efficacy, whereas project professionals gain insights into leveraging AI for increased project performance and navigating the complexities of modern project environments. This dual focus makes the research salient for developing theoretical knowledge and practical applications in project management.
Keywords: Artificial Intelligence, Project Management, Decision Support Systems, Project Data Analytics, Complexity, Technology Acceptance Model

Identifiers

Local EPrints ID: 492506
URI: http://eprints.soton.ac.uk/id/eprint/492506
PURE UUID: 58795459-fd18-4bc4-9f80-9e8ca7809980
ORCID for Nicholas Dacre: ORCID iD orcid.org/0000-0002-9667-9331

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Date deposited: 30 Jul 2024 16:35
Last modified: 08 Nov 2024 02:56

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Contributors

Author: Nicholas Dacre ORCID iD
Author: Fredrik Kockum

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