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Resistance factors to technology innovation in construction organisations

Resistance factors to technology innovation in construction organisations

Authors :
Mohd Ishak, Siti Salwa Binti
Mohd Ishak, Siti Salwa Binti
Publication Year :
2014

Abstract

Effective technology innovation today appears to be all about the push factors that promote comprehensive technology uptake. There are now multiple, well-established and diverse theories on how best to effect technology innovation deployment, adoption and diffusion. In practice, however, for every push factor there is a potential resistance factor. Significantly, resistance factors become increasingly problematic as the technology innovation moves from its early stages and early adopters to wider spread use by the majority. For a construction industry on the cusp of major transformation, effective integration of emerging communication and collaboration technologies is critical. This study undertakes a comprehensive review of current innovation theory to identify and examine the particular factors that drive user resistance to technology innovation in construction organisations, most specifically user resistance to Online Project Information Management Systems (OPIMS). For the first time, multiple theoretical perspectives drawn from diffusion of innovation theory, technology acceptance models and social network theories are consolidated into a unified analytical framework of potential resistance factors: the Integrated Resistance Factor Model (IRFM). The IRFM is then tested and refined to identify the most significant resistance factors for OPIMS. Knowledge of the most significant resistance factors for OPIMS can then be used strategically to address key barriers to broader utilisation of that technology. It can also be used to better manage the deployment of emerging technology innovations, such as Building Information Modelling (BIM) and Mobile Computing. The study employs a mixed methods research approach. Data collection and analysis is conducted sequentially using quantitative (survey) and qualitative (interview) methods. Data from the survey is analysed using a novel application of the Partial Least Square (PLS) technique, more generally used in Structural Equa

Details

Database :
OAIster
Notes :
application/pdf, EN
Publication Type :
Electronic Resource
Accession number :
edsoai.on1031062876
Document Type :
Electronic Resource