Skip navigation

Interorganizational networks in microfinance - a comparative study

Interorganizational networks in microfinance - a comparative study

De Vita, Riccardo and Marr, Ana ORCID: 0000-0002-8764-5682 (2012) Interorganizational networks in microfinance - a comparative study. In: The 3rd International Microfinance Conference, 31 Jan 2012, University of Greenwich, London, UK. (Unpublished)

DeVita-&-Marr-InterorgNetinMicrofinance.pdf - Presentation

Download (1MB)


In the last decades the microfinance industry has evolved into a complex ecosystem, where Microfinance Institutions (MFIs) interact with a rich and heterogeneous set of stakeholders. While previous studies privileged an internal focus of analysis, this chapter describes the networks in which MFIs are embedded, taking into account the different types of relationships that MFIs establish with other organizations. Social Network Analysis (SNA) techniques are applied at the interorganizational level of analysis on an original dataset developed from Mix Market data. The microfinance interorganizational networks in Peru, Tanzania and in the regions of Tamil-Nadu (India) are presented. From the comparison of the different networks, several implications are drawn

Item Type: Conference or Conference Paper (Paper)
Additional Information: [1] Paper given at the 3rd International Microfinance Conference took place at the University of Greenwich, London, UK. Main research findings of the Leverhulme-funded project 'Optimising the Dual Goals of Microfinance' were presented alongside research on global financial crises and the social performance of microfinance. Principal Investigator: Dr Ana Marr.
Uncontrolled Keywords: microfinance, interorganisation networks, Peru, India, Tanzania
Subjects: H Social Sciences > HG Finance
Faculty / Department / Research Group: Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Faculty of Business > Department of International Business & Economics
Related URLs:
Last Modified: 22 Oct 2020 17:09
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics