An innovation resistance factor model

Ishak, SSM; Newton, S

An innovation resistance factor model

Ishak, SSM Newton, S

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Publisher:: University of Technology, Sydney (UTS)
Publication Type:: Journal Article
Citation:: Construction Economics and Building, 2016, 16, (3), pp. 87-103
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Ishak, SSM
dc.contributor.author	Newton, S https://orcid.org/0000-0001-8334-1916
dc.date.accessioned	2022-07-08T01:03:54Z
dc.date.available	2022-07-08T01:03:54Z
dc.date.issued	2016-01-01
dc.identifier.citation	Construction Economics and Building, 2016, 16, (3), pp. 87-103
dc.identifier.issn	2204-9029
dc.identifier.issn	2204-9029
dc.identifier.uri	http://hdl.handle.net/10453/158742
dc.description.abstract	The process and implementation strategy of information technology in construction is generally considered through the limiting prism of theoretical contexts generated from innovation diffusion and acceptance. This research argues that more attention should be given to understanding the positive effects of resistance. The study develops a theoretical framing for the Integrated Resistance Factor Model (IRFM). The framing uses a combination of diffusion of innovation theory, technology acceptance model and social network perspective. The model is tested to identify the most significant resistance factors using Partial Least Square (PLS) technique. All constructs proposed in the model are found to be significant, valid and consistent with the theoretical framework. IRFM is shown to be an effective and appropriate model of user resistance factors. The most critical factors to influence technology resistance in the online project information management system (OPIMS) context are: support from leaders and peers, complexity of the technology, compatibility with key work practices; and pre-trial of the technology before it is actually deployed. The study provides a new model for further research in technology innovation specific to the construction industry.
dc.language	en
dc.publisher	University of Technology, Sydney (UTS)
dc.relation.ispartof	Construction Economics and Building
dc.relation.isbasedon	10.5130/AJCEB.v16i3.5164
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 1202 Building, 1402 Applied Economics
dc.title	An innovation resistance factor model
dc.type	Journal Article
utslib.citation.volume	16
utslib.for	0905 Civil Engineering
utslib.for	1202 Building
utslib.for	1402 Applied Economics
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-08T01:03:54Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	16
utslib.citation.issue	3

Abstract:

The process and implementation strategy of information technology in construction is generally considered through the limiting prism of theoretical contexts generated from innovation diffusion and acceptance. This research argues that more attention should be given to understanding the positive effects of resistance. The study develops a theoretical framing for the Integrated Resistance Factor Model (IRFM). The framing uses a combination of diffusion of innovation theory, technology acceptance model and social network perspective. The model is tested to identify the most significant resistance factors using Partial Least Square (PLS) technique. All constructs proposed in the model are found to be significant, valid and consistent with the theoretical framework. IRFM is shown to be an effective and appropriate model of user resistance factors. The most critical factors to influence technology resistance in the online project information management system (OPIMS) context are: support from leaders and peers, complexity of the technology, compatibility with key work practices; and pre-trial of the technology before it is actually deployed. The study provides a new model for further research in technology innovation specific to the construction industry.

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http://hdl.handle.net/10453/158742