Transient Information Adaptation of Artificial Intelligence: Towards Sustainable Data Processes in Complex Projects
Creators: name: Dacre, Nicholas
name: Kockum, Fredrik
name: PK Senyo
Publisher: name: figshare
Year: 2021
Subjects: subject: 120201 Building Construction Management and Project Planning
subject: FOS: Civil engineering
subject: FOS: Civil engineering
subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences
subject: FOS: Computer and information sciences
subject: 80199 Artificial Intelligence and Image Processing not elsewhere classified
subject: 220312 Philosophy of Cognition
subject: FOS: Philosophy, ethics and religion
subject: FOS: Philosophy, ethics and religion
subject: 220314 Philosophy of Mind (excl. Cognition)
subject: 170299 Cognitive Science not elsewhere classified
subject: FOS: Psychology
subject: FOS: Psychology
subject: 170205 Neurocognitive Patterns and Neural Networks
subject: 80604 Database Management
subject: 80403 Data Structures
subject: 100504 Data Communications
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: <b>Cite this Paper:</b>Dacre, N., Kockum, F., &amp; Senyo, PK. (2020). Transient Information Adaptation of Artificial Intelligence: Towards Sustainable Data Processes in Complex Projects. British Academy of Management (BAM), Manchester, UK. https://doi.org/10.6084/m9.figshare.14327519.v1<br><br><b>Abstract</b>Large scale projects increasingly operate in complicated settings whilst drawing on an array of complex data-points, which require precise analysis for accurate control and interventions to mitigate possible project failure. Coupled with a growing tendency to rely on new information systems and processes in change projects, 90% of megaprojects globally fail to achieve their planned objectives. Renewed interest in the concept of Artificial Intelligence (AI) against a backdrop of disruptive technological innovations, seeks to enhance project managers’ cognitive capacity through the project lifecycle and enhance project excellence. However, despite growing interest there remains limited empirical insights on project managers’ ability to leverage AI for cognitive load enhancement in complex settings. As such this research adopts an exploratory sequential linear mixed methods approach to address unresolved empirical issues on transient adaptations of AI in complex projects, and the impact on cognitive load enhancement. Initial thematic findings from semi-structured interviews with domain experts, suggest that in order to leverage AI technologies and processes for sustainable cognitive load enhancement with complex data over time, project managers require improved knowledge and access to relevant technologies that mediate data processes in complex projects, but equally reflect application across different project phases. These initial findings support further hypothesis testing through a larger quantitative study incorporating structural equation modelling to examine the relationship between artificial intelligence and project managers’ cognitive load with project data in complex contexts.<br>