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Title: A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations
Authors: Hameed, MA
Counsell, S
Swift, S
Keywords: IT innovation adoption;IT implementation;Adoption and diffusion;Meta-analysis;Moderating effect
Issue Date: 2012
Publisher: Elsevier
Citation: Information and Management, 49(5), 218 - 232, 2012
Abstract: Adoption of IT in organizations is influenced by a wide range of factors in technology, organization, environment, and individuals. Researchers have identified several factors that either facilitate or hinder innovation adoption. Studies have produced inconsistent and contradictory outcomes. We performed a meta-analysis of ten organizational factors to determine their relative impact and strength. We aggregated their findings to determine the magnitude and direction of the relationship between organizational factors and IT innovation adoption. We found organizational readiness to be the most significant attribute and also found a moderately significant relationship between IT adoption and IS department size. Our study found weak significance of IS infrastructure, top management support, IT expertise, resources, and organizational size on IT adoption of technology while formalization, centralization, and product champion were found to be insignificant attributes. We also examined stage of innovation, type of innovation, type of organization, and size of organization as moderator conditions affecting the relationship between the organizational variables and IT adoption.
Description: This is the post-print version of the final paper published in Information & Management. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2012 Elsevier B.V.
ISSN: 0378-7206
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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