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Perceived Usefulness Of Information Technology: A Cross-National Model

Perceived Usefulness Of Information Technology: A Cross-National Model AbstractAs the world globalizes and more multinationals operate in foreign locales, it is becoming increasingly important to understand how people react to information technology. In this paper, we use a combined social institutions and national culture approach to examine how these are related to one component of the technology acceptance model. Specifically, we hypothesize that three social institutions (degree of industrialization, degree of social inequality, and religiosity) and three national culture dimensions (uncertainty avoidance, masculinity, and individualism) are related to the perceived usefulness of information technology. Because of the cross-level nature of our study, we use Hierarchical Linear Modeling to test our hypotheses on 26,999 individuals from 24 nations. Results support four of the six hypotheses (degree of industrialization, degree of social inequality, uncertainty avoidance, and masculinity). Results reject hypotheses for religiosity and individualism. Implications of our findings for future research and practice are discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Global Information Technology Management Taylor & Francis

Perceived Usefulness Of Information Technology: A Cross-National Model

Perceived Usefulness Of Information Technology: A Cross-National Model

Journal of Global Information Technology Management , Volume 8 (4): 20 – Oct 1, 2005

Abstract

AbstractAs the world globalizes and more multinationals operate in foreign locales, it is becoming increasingly important to understand how people react to information technology. In this paper, we use a combined social institutions and national culture approach to examine how these are related to one component of the technology acceptance model. Specifically, we hypothesize that three social institutions (degree of industrialization, degree of social inequality, and religiosity) and three national culture dimensions (uncertainty avoidance, masculinity, and individualism) are related to the perceived usefulness of information technology. Because of the cross-level nature of our study, we use Hierarchical Linear Modeling to test our hypotheses on 26,999 individuals from 24 nations. Results support four of the six hypotheses (degree of industrialization, degree of social inequality, uncertainty avoidance, and masculinity). Results reject hypotheses for religiosity and individualism. Implications of our findings for future research and practice are discussed.

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References (32)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis
ISSN
2333-6846
eISSN
1097-198X
DOI
10.1080/1097198X.2005.10856407
Publisher site
See Article on Publisher Site

Abstract

AbstractAs the world globalizes and more multinationals operate in foreign locales, it is becoming increasingly important to understand how people react to information technology. In this paper, we use a combined social institutions and national culture approach to examine how these are related to one component of the technology acceptance model. Specifically, we hypothesize that three social institutions (degree of industrialization, degree of social inequality, and religiosity) and three national culture dimensions (uncertainty avoidance, masculinity, and individualism) are related to the perceived usefulness of information technology. Because of the cross-level nature of our study, we use Hierarchical Linear Modeling to test our hypotheses on 26,999 individuals from 24 nations. Results support four of the six hypotheses (degree of industrialization, degree of social inequality, uncertainty avoidance, and masculinity). Results reject hypotheses for religiosity and individualism. Implications of our findings for future research and practice are discussed.

Journal

Journal of Global Information Technology ManagementTaylor & Francis

Published: Oct 1, 2005

Keywords: Social Institutions; Culture; Perceived Usefulness; Hierarchical Linear Modeling

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