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Effects of trigger events on innovation behaviour: insights from the data collected from construction professionals during COVID-19

Singh, V and Bolpagni, M (2023) Effects of trigger events on innovation behaviour: insights from the data collected from construction professionals during COVID-19. In: Construction Management and Economics .

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Official URL: https://doi.org/10.1080/01446193.2023.2186454


During the COVID-19 pandemic, several instances of innovation were reported in construction and other sectors, consistent with previously noted spikes in innovation activities during crises and environmental perturbations. Yet the behavioural mechanisms and factors leading to changes in the innovation behaviour of actors under environmental perturbation are not adequately understood. This paper studies such behavioural mechanisms and factors, building on the Excitable Innovation Behaviour Model (EIBM), which explains the voluntary or coercive change in the innovation behaviour of actors in terms of their stable state needs and excited stated needs. The findings build on data collected through an online survey (N = 266) and interviews (N = 14) during the COVID situation. The results show that environmental perturbations can trigger both an increase and decrease in innovation activities. Actors’ network dependencies, motivation, and years of experience influence their innovation behaviour. Environmental perturbation triggers accelerated alignment and shared prioritization of the needs of the different stakeholders, resulting in commitment and timely actions towards innovation from each stakeholder. Actors’ ability and financial stability at the time of the excitation trigger mediate their innovation behaviour, revealing similarities and differences between EIBM and Fogg’s Behavioural Model of persuasion. The grounding of EIBM in behavioural theories makes it potentially generalizable and compatible with other behavioural models and theories on innovation. The underlying state-change mechanisms in EIBM also make it amenable to developing a parametric and computational model of innovation adoption and diffusion. The research insights will inform innovation management strategies, including technology adoption roadmaps in the construction sector.

Item Type: Journal Article
Publication: Construction Management and Economics
Publisher: Routledge
Additional Information: The copyright for this article belongs to Routledge.
Keywords: Behavioral research; Computation theory; Construction industry; Environmental technology; Excited states, Behavioral factors; Behavioral mechanisms; Behavioral model; Behaviour models; Crisis; Environmental perturbations; Innovation activity; Innovation behavior; Technology adoption; Trigger, COVID-19
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited: 13 Apr 2023 10:41
Last Modified: 13 Apr 2023 10:41
URI: https://eprints.iisc.ac.in/id/eprint/81333

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