Cited by 120Information Systems Theories and ImplementationInformation Systems Education and Curriculum DevelopmentEngineering and Information Technology

A Model for Mandatory Use of Software Technologies: An Integrative Approach by Applying Multiple Levels of Abstraction of Informing Science

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E. Koh, Chang, R. Prybutok, Victor, D. Ryan, Sherry, Andy" Wu, Yu·2010·Informing Science: The International Journal of an Emerging Transdiscipline

Abstract

An international association advancing the multidisciplinary study of informing systems. Founded in 1998, the Informing Science Institute (ISI) is a global community of academics shaping the future of informing science.

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Research works printed but not linked: 2

  1. Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small smple research (pp. 307-341).
  2. Cohen, E. B. (2000). Failure to inform: Errors in information systems. Paper presented at the Americas Conference on Information Systems, Long Beach, CA.

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Authors
E. Koh, C., R. Prybutok, V., D. Ryan, S., & Andy" Wu, Y.
Affiliations
University of North Texas
Venue
Informing Science: The International Journal of an Emerging Transdiscipline
Published
2010
Volume
13
Pages
177-203
ISSN
  • 1521-4672 (ISSN-L)
  • 1547-9684
OpenAlex
W31286121
Cited by
120
References
63
Citations by year
2026: 6 · 2025: 11 · 2024: 11 · 2023: 6 · 2022: 8 · 2021: 15 · 2020: 12 · 2019: 10 · 2018: 6 · 2017: 15 · 2016: 5 · 2015: 7 · 2014: 2 · 2013: 1 · 2012: 4
FWCI
6.20
Type
journal article
Language
en
Open access
Locations
Informing Science The International Journal of an Emerging Transdiscipline (publishedVersion, cc-by-nc)
Topics
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
  • Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
  • Physical Sciences › Computer Science › Software › Engineering and Information Technology
Keywords
levels of abstraction, informing science

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