Confounding Effects of Construct Overlap:

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Zmud, Robert W., et al. “Confounding Effects of Construct Overlap:”. Information Technology &Amp; People, vol. 7, no. 2, 1994, pp. 29-45, https://doi.org/10.1108/09593849410074061.
Zmud, R. W., Sampson, J. P., Reardon, R. C., Lenz, J. G., & Byrd, T. A. (1994). Confounding Effects of Construct Overlap. Information Technology &Amp; People, 7(2), 29-45. https://doi.org/10.1108/09593849410074061
Zmud RW, Sampson JP, Reardon RC, Lenz JG, Byrd TA. Confounding Effects of Construct Overlap:. Information Technology & People. 1994;7(2):29-45.
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Description

Why does construct definition matter in information systems research? This paper investigates the potential dangers of misapplying theoretical constructs and their measurement scales in information systems research, emphasizing the importance of precise definitions and context-specific applications. The study uses the example of user satisfaction with a decision support system to demonstrate these risks. Through a controlled field study, the research highlights the confounding effects that arise when general instruments are used in situations where more narrowly focused, context-specific instruments would be more appropriate. This can lead to inaccurate or misleading results, undermining the validity of research findings. By emphasizing the careful application and operationalization of constructs, this paper provides valuable guidance for researchers and practitioners in the information systems field. It underscores the need for thoughtful consideration of construct overlap and the selection of appropriate measurement tools to ensure the integrity and relevance of research outcomes.

Published in Information Technology & People, this article aligns with the journal's focus on the human and social aspects of information technology. By examining the importance of construct application and measurement in information systems research, the paper contributes to the journal's themes of understanding the interaction between people and IT.

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Citations Analysis
The first research to cite this article was titled Relationship between self-report and log data estimates of information system usage and was published in 1998. The most recent citation comes from a 2022 study titled Relationship between self-report and log data estimates of information system usage . This article reached its peak citation in 1998 , with 2 citations.It has been cited in 8 different journals. Among related journals, the Information & Management cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
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