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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Information technology innovations: a classification by IT locus of impact and research approach

Open access
Prescott, Mary B., Conger, Sue A.·1995·ACM SIGMIS Database: the DATABASE for Advances in Information Systems

Abstract

Research based on diffusion of innovation (DOI) theory investigates the evaluation, adoption, and implementation of innovations. Gaining understanding is difficult when tracing results on a study-by-study basis. To remove some of the barriers to comparison of results, we distinguish between innovations according to their locus of impact (IS unit, intra- or inter-organizational) and between studies according to research approach (factor or stage).A representative sample of 70 information technology (IT) related DOI research studies published by IT researchers over the last decade is evaluated using this classification scheme. From the analysis, it appears that the classification scheme may be used to provide a clearer understanding of IT innovation diffusion.Traditional DOI theory appears to be most applicable to ITs which have an intra-organizational locus of impact. ITs with an information system (IS) unit locus of impact appear to require less organizational support, and their extent of implementation appears to be related to nontraditional innovation characteristics such as functionality and efficiency. Inter-organizational locus of impact IT innovations, however, appear to be more affected by contextual and environmental variables, and their differences may be better explained by economic influence or critical mass theories.

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Metadata

Authors
Prescott, M. B., & Conger, S. A.
Venue
ACM SIGMIS Database: the DATABASE for Advances in Information Systems
Published
1995-05
Volume
26
Issue
2-3
Pages
20-41
ISSN
  • 0095-0033 (ISSN-L)
  • 1532-0936
OpenAlex
W1963624584
Cited by
327
References
4
FWCI
11.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Information technology innovations: a classification by IT locus of impact and research approach. https://app.cochat.ai/papers/10.1145/217278.217284
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Prescott, M. B., & Conger, S. A. (1995). Information technology innovations: a classification by IT locus of impact and research approach. ACM SIGMIS Database: the DATABASE for Advances in Information Systems. https://doi.org/10.1145/217278.217284

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.