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Cited by 1,545

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle1

Brown, Susan A., Venkatesh, Viswanath·2005·MIS Quarterly

Abstract

Individual adoption of technology has been studied extensively in the workplace. Far less attention has been paid to adoption of technology in the household. In this paper, we performed the first quantitative test of the recently developed model of adoption of technology in households (MATH). Further, we proposed and tested a theoretical extension of MATH by arguing that key demographic characteristics that vary across different life cycle stages would play moderating roles. Survey responses were collected from 746 U.S. households that had not yet adopted a personal computer. The results showed that the integrated model, including MATH constructs and life cycle characteristics, explained 74 percent of the variance in intention to adopt a PC for home use, a significant increase over baseline MATH that explained 50 percent of the variance. Finally, we compared the importance of various factors across household life cycle stages and gained a more refined understanding of the moderating role of household life cycle stage.

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Metadata

Authors
Brown, S. A., & Venkatesh, V.
Venue
MIS Quarterly
Publisher
MIS Quarterly
Published
2005-09-01
Volume
29
Issue
3
Pages
399-426
ISSN
  • 0276-7783 (ISSN-L)
  • 2162-9730
OpenAlex
W2099702286
Cited by
1,545
References
11
FWCI
52.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle1. https://app.cochat.ai/papers/10.2307/25148690
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Brown, S. A., & Venkatesh, V. (2005). Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle1. MIS Quarterly. https://doi.org/10.2307/25148690

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.