How Are <scp>HEIs</scp> Coping With the <scp>PRME</scp> Indicator System of University Social Responsibility? Evidence From Colombia

ABSTRACT This exploratory research documents the implementation of the PRME Indicator System for University Social Responsibility (PISUSR) in the process of preparing the SIP report of 11 Colombian higher education institutions between 2020 and 2021. The study's objectives are twofold: first, to validate the precision, balance, clarity, comparability, timeliness, usefulness, comprehensiveness, and reliability of the indicator system; second, to evaluate the relevance and experience perceived by the participants during its implementation. The study employed a mixed‐methods approach that included the application of surveys, semi‐structured interviews, semantic networks, and sentiment analysis. The findings highlight positive views on the timeliness and usefulness of the PISUSR. However, participants noted challenges related to the clarity and precision of the information. By illuminating the successes and challenges faced by business schools in the Global South, we contribute to ongoing efforts to improve the measurement of responsible management education and sustainability practices in HEIs globally.

Authors

Institutions

Publication Details

Journal
Higher Education Quarterly
Published
2025-08-10
DOI
https://doi.org/10.1111/hequ.70052
Primary Topic
Higher Education and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Are HEIs Coping With the PRME Indicator System of University Social Responsibility? Evidence From Colombia

José Luis Camarena, GUSTAVO F. LOIOLA, Julián Mauricio Cruz‐Pulido, Flávio Pinheiro Martins et al.
Higher Education Quarterly
Higher Education and Sustainability
article

How Are HEIs Coping With the PRME Indicator System of University Social Responsibility? Evidence From Colombia

José Luis Camarena, GUSTAVO F. LOIOLA, Julián Mauricio Cruz‐Pulido, Flávio Pinheiro Martins, Gustavo Adolfo Yepes‐López, Ingrid Carolina Arango‐Gil
article en

Abstract

ABSTRACT This exploratory research documents the implementation of the PRME Indicator System for University Social Responsibility (PISUSR) in the process of preparing the SIP report of 11 Colombian higher education institutions between 2020 and 2021. The study's objectives are twofold: first, to validate the precision, balance, clarity, comparability, timeliness, usefulness, comprehensiveness, and reliability of the indicator system; second, to evaluate the relevance and experience perceived by the participants during its implementation. The study employed a mixed‐methods approach that included the application of surveys, semi‐structured interviews, semantic networks, and sentiment analysis. The findings highlight positive views on the timeliness and usefulness of the PISUSR. However, participants noted challenges related to the clarity and precision of the information. By illuminating the successes and challenges faced by business schools in the Global South, we contribute to ongoing efforts to improve the measurement of responsible management education and sustainability practices in HEIs globally.

Higher Education QuarterlyVol. 79(4)
Queen Mary University of London (GB), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR), Escuela Tecnológica Instituto Técnico Central (CO), Fundação Getulio Vargas (BR), University College London (GB), Universidad Externado de Colombia (CO)
Quality Education
Openalex Percentile: Top 77%
Higher Education and Sustainability
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.