Generalizing Generalizability in Information Systems Research

By Allen S. Lee, Richard L. Baskerville. Information systems research, 2003

1,719 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bc5e20c9e950a5dcedbe1caacc39afe097e3a6b0

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In Computer Science Applications

In Computer Vision and Pattern Recognition

In Sociology and Political Science

Citations in the corpus

Mobile Application Usability: Conceptualization and Instrument Development (2015, background): “The sample should be large enough to conclude that the scales are truly stable (Lee and Baskerville 2003; MacKenzie et al. 2011).”
Customising agile methods to software practices at Intel Shannon (2006, background): “However; Lee & Baskerville (2003) identify a fundamental and long-standing problem with the type of generalisation based on the type of statistical sampling frequently sought in research, namely the problem of attempting to generalise to any other settings beyond the current one.”
Putting the ‘theory’ back into grounded theory: guidelines for grounded theory studies in information systems (2009, background): “While Lee & Baskerville (2003) counsel against the ‘uniformity of nature assumption’ in information systems theory building efforts, we would suggest that the utilization of grounded theory for theory building in information systems would in fact increase our discipline’s engagement with diverse…”
Crisis in the IS Field? A Critical Reflection on the State of the Discipline (2003, background): “Lee and Baskerville (2003) make a welcome attempt to place the topic of generalization on the agenda of serious discussion.”
Exploring consumer adoption of mobile payments - A qualitative study (2007, background): “Instead, the findings are generalized to theory (A. S. Lee & Baskerville, 2003) and used to build ground for the emerging mobile payments adoption research by identifying relevant factors in a systematic way through sound research approaches.”
Reconceptualizing System Usage: An Approach and Empirical Test (2006, methodology): “For example, Goodhue (1995) measured task-technology-fit (TTF) in the context of data management, and although his measures are not easily generalizable to other domains, TTF is a generalizable construct (Lee and Baskerville 2003).”
Methodological Implications of Critical Realism for Mixed-Methods Research (2013, methodology): “In the interpretive school of IS research, generalizing from a single case study is a commonly accepted practice (Lee and Baskerville 2003; Markus et al. 2006; Walsham 1995b).”
Doing interpretive research (2006, background): “Lee and Baskerville (2003) have done a much more comprehensive demolition job than I did in my earlier paper on those who say ‘you can’t generalize from a single case study’.”
Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems (2013, background): “…addition to quantitative, can likely help improve understanding of relationships in UTAUT that work differently (see Johns 2006), or the breakdown of UTAUT (see Alvesson and Kärreman 2007), and result in the emergence of insights possible only from induction (Lee and Baskerville 2003, Locke 2007).”
What levels of moral reasoning and values explain adherence to information security rules? An empirical study (2009, background): “Following Popper (1985), care should be taken in generalizing these findings to other populations (Lee & Baskerville, 2003).”