Interrogating accountability: An illustration of the use of Leximancer software for qualitative data analysis

By K. Crofts, J. Bisman. 2010

200 citations recorded by the source corpus.

Subfields: Accounting, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/9fc6761e2dafb8ae24f3c3c82ba61b74ba8dba2d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Ingrid E. Fisher
2. Margaret R. Garnsey
3. Mark E. Hughes
4. Sebastian Thomas

In Management Information Systems

1. Ingrid E. Fisher
2. Margaret R. Garnsey
3. Mark E. Hughes
4. Sebastian Thomas

Citations in the corpus

• Blue carbon: : Knowledge gaps, critical issues, and novel approaches (2014, methodology): “Concepts are indexed and weighted; using co-occurrence matrices and clustering algorithms sourced from computational linguistics a thematic viewof relationships between concepts is derived and mapped in two dimensions (Crofts and Bisman, 2010; Smith and Humphreys, 2006).”
• Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century (2021, background): “The content analysis through text-mining enables researchers to explore conceptual structure data and identify the most commonly emerging themes [42].”
• Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research (2016, methodology): “Using a tool called Leximancer CAQDAS (computer-aided qualitative data analysis software), Crofts and Bisman (2010) employed the program’s concept identification and ‘cognitive mapping’ functions, examining the ‘conflicting and often competing notions’ of the use of the term ‘accountability’ as…”