Premium
Examining Web Images: A Combined Visual Analysis (CVA) Approach
Author(s) -
Pritchard Katrina
Publication year - 2020
Publication title -
european management review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.784
H-Index - 32
eISSN - 1740-4762
pISSN - 1740-4754
DOI - 10.1111/emre.12376
Subject(s) - reflexivity , semiotics , set (abstract data type) , repertoire , computer science , focus (optics) , resource (disambiguation) , protocol (science) , qualitative research , qualitative comparative analysis , visual methods , data science , knowledge management , sociology , psychology , cognitive science , epistemology , social science , optics , programming language , machine learning , medicine , computer network , philosophy , physics , alternative medicine , pathology , acoustics
In this methodological paper I set out a framework for Combined Visual Analysis (CVA), bringing together compositional, reflexive and semiotic analysis. I explain how CVA was applied in a research project exploring the visual repertoire of human resource management (HRM). I describe each stage in detail, consider how research practice is instrumental in shaping research outcomes and reflexively explore the challenges encountered. The CVA framework provides a research protocol for those working with (in visual analytic terms) large numbers of pre‐existing images. It offers an approach that enables breadth and depth, while maintaining a qualitative focus on the images themselves.