About the Journal
Management Letters/Cuadernos de Gestión is a six- monthly publication dedicated to academic papers on Business Economics, theoretical and empirical peer-reviewed articles. It was founded in 1985 by the Institute of Applied Business Economics at the University of The Basque Country (UPV / EHU). It has consistently published articles combining scientific accuracy with useful proposals and prescriptions for improvements in business management. The scientific knowledge areas include Finance, Accounting, Business Administration, Marketing and Markets Research and Human Resources, open also to other fields as long as these contribute significantly to addressing problems in business management.
It is regularly indexed in the following databases: SCOPUS, Emerging Sources Citation Index (ESCI), DOAJ, e-revist@s, Latindex, Redalyc, Dialnet, Open Science Directory, EBSCO Publishing, among others. Management Letters/Cuadernos de Gestión is classified as an excellent journal by the Spanish Foundation for Science and Technology (FECYT), which belongs to the Spanish Ministry of Economics and Competitiveness.
Current Issue
Articles
Altruistic and egoistic motivations to engage with contact-tracing apps: Lessons learned from the Covid-19 pandemic
Page 7-20
Confluence of Factors that Influence Business Model by Digitalisation and Industry 4.0 Technologies
Page 21-37
Profitability of microfinance institutions and borrowers: a systematic literature review
Page 39-53
The Effect of Vigor and Affective Commitment on the Performance of Women Student Entrepreneurs: the Moderating Role of the Social and University Environment
Page 55-67
CSR in Times of Crisis According to ESG Indicators in Europe: Analysis of the Impact of COVID-19
Page 69-80
Entrepreneurial intention among Colombian university students: A theory of planned behavior analysis in Colombia
Page 83-94
Drivers and obstacles on refugee entrepreneurship. The host country perspective
Page 95-110
The role of Passion and Self-Efficacy in entrepreneurial activities in the gig economy: An Unsupervised Machine Learning Analysis with Topic Modeling
Page 111-129
- Vol.24, No.2 (2024)
- Vol.24, No.1 (2024)
- Vol.23, No.2 (2023)
- Vol.23, No.1 (2023)
- Vol.22, No.2 (2022)
- Vol.22, No.1 (2022)
- Vol.21, No.2 (2021)
- Vol.21, No.1 (2021)
- Vol.20, No.3 (2020)
- Vol.20, No.2 (2020)
- Vol.20, No.1 (2020)
- Vol.19, No.2 (2019)
- Vol.19, No.1 (2019)
- Vol.18, No.2 (2018)
- Vol.18, No.1 (2018)
- Vol.17, No.2 (2017)
- Vol.17, No.1 (2017)
- Vol.16, No.2 (2016)
- Vol.16, No.1 (2016)
- Vol.15, No.2 (2015)
- Vol.15, No.1 (2015)
- Vol.14, No.2 (2014)
- Vol.14, No.1 (2014)
- Vol.13, No.2 (2013)
- Vol.13, No.1 (2013)
- Vol.12, No.3 (2012)
- Vol.12, No.2 (2012)
- Vol.12, No.1 (2012)
- Vol.11, No.3 (2011)
- Vol.11, No.2 (2011)
- Vol.11, No.1 (2011)
- Vol.10, No.3 (2010)
- Vol.10, No.2 (2010)
- Vol.10, No.1 (2010)
- Vol.9, No.2 (2009)
- Vol.9, No.1 (2009)
- Vol.8, No.2 (2008)
- Vol.8, No.1 (2008)
- Vol.7, No.2 (2007)
- Vol.7, No.1 (2007)
- Vol.6, No.2 (2006)
- Vol.6, No.1 (2006)
- Vol.5, No.2 (2005)
- Vol.5, No.1 (2005)
- Vol.4, No.2 (2004)
- Vol.4, No.1 (2004)
- Vol.3, No.1-2 (2003)
- Vol.2, No.2 (2002)
- Vol.2, No.1 (2002)
- Vol.1, No.2 (2001)
- Vol.1, No.1 (2001)
- No. ()