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Confirmatory factor analysis and factorial invariance of the impact of information technology instrument

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  • Torkzadeh, Gholamreza
  • Koufteros, Xenophon
  • Doll, William J.

Abstract

Organizations increasingly evaluate information technology in terms of its impact on the individual and his/her work. Academics have shown increased attention to developing measures of technology success in terms of impact on work. One of these efforts produced an instrument that measures how extensively information technology applications impact task productivity, task innovation, customer satisfaction, and management control. These constructs reflect perceived usefulness of information technology application for work. This paper reports on confirmatory analysis and factorial invariance tests of the impact of information technology instrument. The recommended four-factor instrument contains 12 items, seems to be factorially invariant across two samples from the US and Mexico and across two managerial levels, and has high reliability and validity.

Suggested Citation

  • Torkzadeh, Gholamreza & Koufteros, Xenophon & Doll, William J., 2005. "Confirmatory factor analysis and factorial invariance of the impact of information technology instrument," Omega, Elsevier, vol. 33(2), pages 107-118, April.
    • Handle: RePEc:eee:jomega:v:33:y:2005:i:2:p:107-118
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    References listed on IDEAS

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    1. Torkzadeh, G. & Doll, W. J., 1999. "The development of a tool for measuring the perceived impact of information technology on work," Omega, Elsevier, vol. 27(3), pages 327-339, June.
    2. Vijay Sethi & William R. King, 1994. "Development of Measures to Assess the Extent to Which an Information Technology Application Provides Competitive Advantage," Management Science, INFORMS, vol. 40(12), pages 1601-1627, December.
    3. Gholamreza Torkzadeh & Gurpreet Dhillon, 2002. "Measuring Factors that Influence the Success of Internet Commerce," Information Systems Research, INFORMS, vol. 13(2), pages 187-204, June.
    4. K. Jöreskog, 1971. "Simultaneous factor analysis in several populations," Psychometrika, Springer;The Psychometric Society, vol. 36(4), pages 409-426, December.
    5. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
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    3. S Michel & A Michaud-Trévinal & F Cocula, 2019. "Net Impacts in Front Office IS: a First Operationalization of Delone and McLean Model in the Banking Sector," Post-Print hal-02467423, HAL.
    4. Octavio Hernández Castorena & Marco Alberto Valenzo Jiménez & Alba Roció Carvajal Sandoval, 2017. "Las Tecnologías de Información y Comunicación y su aprovechamiento en la Gestión de la Cadena de Suministro: Caso Pyme Manufacturera de Aguascalientes," Revista de Investigación en Ciencias Contables y Administrativas, Universidad Michoacana de San Nicolás de Hidalgo, Facultad de Contaduría y Ciencias Administrativas, vol. 2(2), pages 221-240, January.
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