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Numerous IT adoption studies within the AEC industry identify issues with individuals resisting IT changes. Current change models often only look at organizations and tasks and frequently neglect the individuals involved. The limitations in existing change models and the criticality of people issues in the successful implementation of change necessitates the investigation of individual resistance to IT change.

Change management theory and attitude-behavior connections provide a framework to study variables associated with impeding/promoting the use of technologies. Data collected from a 50-person sample of the AEC population allowed reductions of the attitudes, fears, and beliefs variables. Reducing the variables indicative of resistance to information technology change facilitated the creation of a detailed social architecture factor model. Subsequently, a Resistance to Change Index (RTCI) was created, enabling estimations of the intensity of resistance an individual is likely to exhibit using the personality traits and behavioral characteristics identified in the revised social architecture factor model.

The RTCI assists practitioners in developing new technology implementation plans. The RTCI also enables researchers to understand how individual participants resist and adapt to change allowing the development of enhanced organizational adoption models for new technology implementation within the building industry.

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This document was originally published by ITcon in Electronic Journal of Information Technology in Construction. Copyright restrictions may apply.