Application of Prototype Analysis to Organizational Research: A Critical Methodological Review

Prototypes—internalized knowledge structures of the most typical or characteristic features of a concept—are important because they influence cognitive processing. Yet prototype analysis, the method used to examine prototypes, appears relatively underutilized in organizational research. To introduce prototype analysis to a wider audience of organizational scholars, we conducted a critical methodological literature review following a six-step procedure. Seventy-three prototype analyses published in 35 journals were categorized and their content analyzed. A prototype analysis typically includes a sequence of independent studies conducted over two stages, recently referred to as the standard procedure. Our review makes several contributions, including development of a taxonomy of prototype analysis applications, clarification of the standard procedure of a prototype analysis and possible variations, and suggestions for organizational research. Benefits of undertaking a prototype analysis include improved understanding of abstract workplace concepts that are difficult to measure directly, the ability to compare cross-cultural prototypes, and an approach for investigating the issue of construct redundancy. We conclude with best-practice recommendations, implications for organizational scholarship, methodological limitations, and future research suggestions.

Authors

Institutions

Publication Details

Journal
Organizational Research Methods
Published
2025-12-23
DOI
https://doi.org/10.1177/10944281251399210
Primary Topic
Management and Organizational Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Prototype Analysis to Organizational Research: A Critical Methodological Review

Sharon Purchase, Sandra Kiffin-Petersen, Doina Olaru
Organizational Research Methods
Management and Organizational Studies
article

Application of Prototype Analysis to Organizational Research: A Critical Methodological Review

Sharon Purchase, Sandra Kiffin-Petersen, Doina Olaru
article en

Abstract

Prototypes—internalized knowledge structures of the most typical or characteristic features of a concept—are important because they influence cognitive processing. Yet prototype analysis, the method used to examine prototypes, appears relatively underutilized in organizational research. To introduce prototype analysis to a wider audience of organizational scholars, we conducted a critical methodological literature review following a six-step procedure. Seventy-three prototype analyses published in 35 journals were categorized and their content analyzed. A prototype analysis typically includes a sequence of independent studies conducted over two stages, recently referred to as the standard procedure. Our review makes several contributions, including development of a taxonomy of prototype analysis applications, clarification of the standard procedure of a prototype analysis and possible variations, and suggestions for organizational research. Benefits of undertaking a prototype analysis include improved understanding of abstract workplace concepts that are difficult to measure directly, the ability to compare cross-cultural prototypes, and an approach for investigating the issue of construct redundancy. We conclude with best-practice recommendations, implications for organizational scholarship, methodological limitations, and future research suggestions.

Organizational Research Methods
The University of Western Australia (AU)
Openalex Percentile: Top 26%
Management and Organizational Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.