A Conceptual Framework for Applying Artificial Intelligence in Project Management

Auth, Gunnar; Jöhnk, Jan; Wiecha, Dennis Arnold

doi:10.1109/cbi52690.2021.00027

Cited by 9 publications

(10 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The undeniable capabilities of AI such as the ability to process a large amount of data in the shortest time, find a pattern, learn, and make future predictions are the important technological aspect in proposing AI use cases in project management [11]. The outlook of AI is bright, the unique capabilities in project forecasting based on multiple project scenarios will continue to be a key aspect of the future trend in the project management area [12].…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence Augmented Project Management

Salleh¹,

Aziz²

2022

Advances in Economics, Business and Management Research

View full text Add to dashboard Cite

Project Management (PM) is a critical function for organizations and businesses. Whilst projects are important and continue to be important, the failure rate is still alarmingly high. The emerging technologies in this Fourth Industrial Revolution (IR 4.0) era, particularly Artificial Intelligence (AI) continues to grow rapidly around the globe. This trend is fueled by technological advancements such as decreasing computational cost, increasing communication speed, inexpensive sensors, and advanced materials. The importance of AI-based project management is acknowledged by practitioners and there is a recognition of how these technology evolutions can enhance project management functions. However, little is known about AI requirements and implementation in project management. The most important question is how to implement AI in project management as the domain knowledge itself is difficult & highly complex. At present, there is no widely recognized model or framework for coming up with AI applications in Project Management. This research intends to address this research gap by proposing possible use cases for AI-augmented PM (AI-PM). It is envisioned that this research will pave the way toward the development of a suitable framework and generate findings that will benefit developers as well as users.

show abstract

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence Augmented Project Management

Salleh¹,

Aziz²

2022

Advances in Economics, Business and Management Research

View full text Add to dashboard Cite

show abstract

“…The absence of standardized frameworks and protocols for AI in the construction industry hinders interoperability, collaboration, and scalability [105,106]. Unlike other sectors where industrywide standards have been established, such as HL7 in healthcare [107,108] or ISO 9000 in manufacturing [109,110], the construction industry lacks standardized frameworks for data exchange, interoperability, and quality assurance.…”

Section: Initial Implementation Costs Data Security and Privacy Conce...mentioning

confidence: 99%

“…Despite these significant benefits, the literature review highlighted several challenges in the application of AI in sustainable building lifecycle. These challenges include initial implementation costs [96][97][98], data security and privacy concerns [62,66,103,104], lack of standardization [105,106,111], skills gap [83,[112][113][114][115][116], interoperability issues [66,[117][118][119], ethical considerations [66,103,120,121], and regulatory compliance [116,[120][121][122][123]. The construction industry's relatively slow adoption of AI can be attributed to factors such as the complexity of construction projects, the traditional nature of the industry, and a lack of awareness or understanding of AI's potential benefits [30,66].…”

Section: Key Findingsmentioning

confidence: 99%

“…Furthermore, the review identified the potential advantages and challenges of integrating AI towards creating a sustainable building lifecycle [20,23,32,47,58,[62][63][64]66,69,70,72,73,83,86,[95][96][97][98][103][104][105][106][111][112][113][114][115][116][117][118][119][120][121][123][124][125]. While highlighting the benefits, such as energy efficiency optimization, predictive maintenance, and waste reduction, the review also addressed challenges like initial implementation costs, data security and privacy concerns, lack of standardization, skills gap, interoperability issues, ethical considerations, and regulatory compliance.…”

Section: Research Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Application of Artificial Intelligence (AI) in Sustainable Building Lifecycle; A Systematic Literature Review

Adewale,

Ene,

Ogunbayo

et al. 2024

Preprint

View full text Add to dashboard Cite

With buildings accounting for a significant portion of global energy consumption and greenhouse gas emissions, the application of artificial intelligence (AI) holds promise for enhancing sustainability in the building lifecycle. This systematic literature review addresses the current understanding of AI's potential to optimize energy efficiency and minimize environmental impact in building design, construction, and operation. A comprehensive literature review and synthesis were conducted to identify AI technologies applicable to sustainable building practices, examine their influence, and analyze the challenges of implementation. The review was guided by a meticulous search strategy utilizing keywords related to AI application in sustainable building design, construction, and operation. The findings reveal AI's capabilities in optimizing energy efficiency through intelligent control systems, enabling predictive maintenance, and aiding design simulation. Advanced machine learning algorithms facilitate data-driven analysis and prediction, while digital twins provide real-time insights for informed decision-making. Furthermore, the review identifies barriers to AI adoption, including cost concerns, data security risks, and challenges in implementation. AI presents a transformative opportunity to enhance sustainability in the built environment, offering innovative solutions for energy optimization and environmentally conscious practices. However, addressing technical and practical challenges will be crucial for the successful integration of AI in sustainable building practices.

show abstract

“…Auth et al [136] offered an overview of AI approaches and tools that can be employed for automating tasks in business project management. In another study, Auth et al [137] presented a framework that defines the fundamental concepts for applying AI to PM, comprising both the requirements of AI application in PM as well as the requirements of PM from AI.…”

Section: Generic Investigationsmentioning

confidence: 99%

Artificial Intelligence Enabled Project Management: A Systematic Literature Review

et al. 2023

View full text Add to dashboard Cite

In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies such as artificial intelligence for more efficient and green human-centric production. In a similar approach, project management would benefit from artificial intelligence in order to achieve project goals by improving project performance, and consequently, reaching higher sustainable success. In this context, this paper examines the role of artificial intelligence in emerging project management through a systematic literature review; the applications of AI techniques in the project management performance domains are presented. The results show that the number of influential publications on artificial intelligence-enabled project management has increased significantly over the last decade. The findings indicate that artificial intelligence, predominantly machine learning, can be considerably useful in the management of construction and IT projects; it is notably encouraging for enhancing the planning, measurement, and uncertainty performance domains by providing promising forecasting and decision-making capabilities.

show abstract

A Conceptual Framework for Applying Artificial Intelligence in Project Management

Cited by 9 publications

References 38 publications

Artificial Intelligence Augmented Project Management

Artificial Intelligence Augmented Project Management

Application of Artificial Intelligence (AI) in Sustainable Building Lifecycle; A Systematic Literature Review

Artificial Intelligence Enabled Project Management: A Systematic Literature Review

Contact Info

Product

Resources

About