Artificial Intelligence Anxiety and Team Innovative Behaviour: The Role of Coping Strategies

dc.contributor.authorMohamed, Nasaj
dc.contributor.authorSulafa,Badi
dc.contributor.authorNiamh,Murtagh
dc.contributor.authorLI,DING,
dc.date.accessioned2025-04-14T08:49:58Z
dc.date.available2025-04-14T08:49:58Z
dc.date.issued2025-03-25
dc.descriptionThe recent exponential growth in interest in Artificial Intelligence (AI) is illustrated by Collins Dictionaries’ choice of ‘AI’ as its ‘Word of the Year 2023’ (Collins, 2024). Organisations are introducing AI in the expectation of realising the many benefits that can accrue. These include higher rates of efficiency, fewer errors, faster processing and more (Makarius et al., 2020). In the construction industry, this interest in AI is particularly pertinent due to the sector's historical challenges, including low productivity and limited digitisation, which have underscored the need for transformative technologies (Regona et al., 2022ab; 2023). These technologies, including AI, hold promise for enhancing cost efficiency, accelerating project timelines, and elevating project quality and safety standards (Demirkesen and Tezel, 2022). AI, broadly defined as "theories and techniques used to create machines capable of simulating intelligence," encompasses various subfields such as machine learning, robotics, and natural language processing (Abioye et al., 2021). Recent advancements have demonstrated AI's potential in addressing sector-specific issues, with applications spanning health and safety management, project planning optimisation, and sustainability initiatives (Abioye et al., 2021).
dc.description.abstract PURPOSE This study aims to investigate the relationship between collective anxiety relating to the introduction of Artificial Intelligence (AI) technologies in construction companies and team innovative behaviours, purposing a potential mediation role of employees’ coping strategies. DESIGN/METHODOLOGY/APPROACH The deductive nature of the research dedicated a quantitative research methodology. Structural equation modelling was conducted on a data set of 540 randomly chosen responses to an online questionnaire from European-based construction employees. FINDINGS The results showed a significant positive relationship between collective AI anxiety and team innovative behaviour. The mediation relationships were also statistically significant. While emotion-focused and relationship-focused coping had positive relationships with team innovative behaviour, problem-focused coping had a negative relationship. An explanation from cognitive psychology is offered for this finding. ORIGINALITY This study contributes to understanding the psychological and social impacts of AI in the construction industry, offering practical insights for fostering innovation amidst AI-induced anxieties. Additionally, it presents an empirical study examining relation-focused coping as a new strategy for collective team coping. Building the conceptual framework at the team level addresses the scarcity of research on managing anxiety and fostering innovation within teams motion-focused and relationship-focused coping strategies for collective AI anxiety. Approaches include open discussions on AI-related concerns to allow team members to voice their anxieties and fostering interpersonal connections to facilitate relationship-focused coping. Keywords: Collective AI anxiety, Team innovative behaviour, Problem-focused coping strategy, emotion-focused coping strategy, relation-focused coping strategy PRACTICAL IMPLICATIONS There is potential for construction organisations to increase team innovative behaviours through supporting emotion-focused and relationship-focused coping strategies for collective AI anxiety. Approaches include open discussions on AI-related concerns to allow team members to voice their anxieties and fostering interpersonal connections to facilitate relationship-focused coping Keywords: Collective AI anxiety, Team innovative behaviour, Problem-focused coping strategy, emotion-focused coping strategy, relation-focused coping strategyen
dc.identifier.citationNasaj, M., Badi, S., Murtagh, N., & Ding, L. (2025). Artificial intelligence anxiety and team innovative behaviour: The role of coping strategies. Construction Innovation: Information, Process, Management. (Accepted Manuscript).
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/7103
dc.language.isoen
dc.publisherEmerald Publishing
dc.titleArtificial Intelligence Anxiety and Team Innovative Behaviour: The Role of Coping Strategies
dc.typeArticle

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