Validation in Information Systems Research: A State-of-the-Art Assessment
By Marie-Claude Boudreau, David Gefen, Detmar W. Straub Jr.. MIS Q., 2001
1,079 citations recorded by the source corpus.
Subfields: Management Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/e23671b8ff8b9cdaf5931195d50ec9160afeab10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Marko Sarstedt
- Christian M. Ringle
- Nils Urbach
- Detmar W. Straub Jr.
- Paul Benjamin Lowry
- Arun Rai
- Frederik Ahlemann
- James Eric Gaskin
In Sociology and Political Science
- Izak Benbasat
- Tao Zhou
- Detmar W. Straub Jr.
- V. Venkatesh
- Ronald T. Cenfetelli
- David Gefen
- Nils Urbach
- Marko Sarstedt
Citations in the corpus
- Reconceptualizing System Usage: An Approach and Empirical Test (2006, background): “We believe that this criticism would be mistaken because diversity can help progress (Robey 1996), especially via diversity of measures (Boudreau et al. 2001), and this is perfectly consistent with 2 Another way of referring to these steps would be to refer to the " structure " step as "…”
- Leveraging IT Capabilities and Competitive Process Capabilities for the Management of Interorganizational Relationship Portfolios (2010, methodology): “We used peer review and two-step Q-sorting to ensure content validity (Boudreau et al. 2001).”
- Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques (2011, background): “Approximately a dozen years later, in a retrospective on the Straub article, Boudreau et al. (2001) surveyed the MIS literature again to assess whether there had been any improvement in the use of construct validation techniques, and concluded that their " findings suggest that the field has…”
- Individual Trust in Online Firms: Scale Development and Initial Test (2002, background): “THE CALL FOR THEORETICALLY AND EMPIRICALLY RIGOROUS instruments to measure unobservable constructs has been echoed time and again by information systems (IS) researchers (for example [5, 42, 46]).”
- How University Entrepreneurship Support Affects College Students’ Entrepreneurial Intentions: An Empirical Analysis from China (2021, methodology): “To ensure that the selected indicators as a whole capture the entire domain of UES, the researchers first determined the scope of the construct via a literature review and then form an expert panel to further discuss, evaluate, and establish the content validity of UES [93].”
- Technology acceptance model for internet banking: an invariance analysis (2005, background): “First, whenever possible, previously validated questions and generally accepted instrument construction guidelines [3,12,24] were followed.”
- Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012, methodology): “Against this background, rigorous research has a long-standing tradition of critically reviewing prior practices of reporting standards and research method use (e.g., Boudreau et al. 2001).”
- Developing and Validating Trust Measures for e-Commerce: An Integrative Typology (2002, background): “Two pilot 3Although such instruments are sometimes called surveys, following Boudreau et al. (2001), we suggest referring to instruments usedduring experiments as questionnaires (or experimental instruments) and reserving the term surveys for the context of field studies.”
- e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector (2002, methodology): “According to the guidelines for validation provided by Straub (1989) and Boudreau et al. (2001), we performed multiple tests on construct validity and reliability.”
- In Pursuit of Moderation: Nine Common Errors and Their Solutions (2003, background): “1997), and examined the rigor with which instruments are validated (Boudreau et al. 2001).”
- Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It (2014, background): “[46] found three disturbing conditions: (1) studies not fully validating their instruments; (2) reliability analyses typically involving only Cronbach’s alpha, which is itself a severely limited measure; and (3) rare use of advanced validation techniques for mature research streams.”