Impact Assessment Model for Low Cost (Shoestring) Digitalisation in Small Construction Organizations
View / Open Files
Conference Name
CIB W78 Information Technology for Construction 39th Conference
Type
Conference Object
This Version
AM
Metadata
Show full item recordCitation
Yilmaz, G., Mukherjee, A., Macias Aguayo, J., & McFarlane, D. Impact Assessment Model for Low Cost (Shoestring) Digitalisation in Small Construction Organizations. CIB W78 Information Technology for Construction 39th Conference. https://doi.org/10.17863/CAM.84049
Abstract
Adopting low-cost (shoestring) digital solutions in organisations should be followed by assessing the business and digitalisation impact. Evaluating the impact of low-cost (shoestring) digital solutions on improving business and digitisation benefits becomes essential for small organisations. This paper introduces an impact assessment model for digital shoestring solutions developed through the digital shoestring program. The proposed model assesses the impact of the low-cost digital solutions on 1) the business and 2) the digitalisation benefits after their installation. The model’s suitability is tested through a single exploratory case study performed with a small construction supplier. The case study highlighted that some of the digital solutions in the digital shoestring solutions catalogue affect only a part of the business benefits. The case study results also showed that the digitalisation benefits are not comprehensive enough to assess the digitalisation level achieved. Motivated from the case study results and inputs from literature, we propose an updated and novel impact assessment model that can be used uniformly across industries and adheres to multiple commonly accepted IoT reference architectures. This model will output the levels of digitalisation achieved and provides a comparative score of the achieved business impact for the digital solutions deployed at the small organisations.
Sponsorship
This research forms part of the Centre for Digital Built Britain’s (CDBB) work at the University of Cambridge [grant number: RG96631].
Embargo Lift Date
2023-04-29
Identifiers
External DOI: https://doi.org/10.17863/CAM.84049
This record's URL: https://www.repository.cam.ac.uk/handle/1810/336628
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.