Process improvement in humanitarian operations: an organisational theory perspective
Paul D. Larson and
Cyril Foropon
International Journal of Production Research, 2018, vol. 56, issue 21, 6828-6841
Abstract:
Contingency theory suggests the best way to organise and lead an organisation, or to make decisions, depends upon internal and external situational factors, e.g. organisational size, operational scope and environmental uncertainty. Humanitarian organisations use various process management tools, including codes of conduct and standards. Large non-governmental organisations (NGOs) seem especially attracted to standards. The purpose of this paper is to advance our understanding of process improvement techniques, with a focus on standards, in use by humanitarian NGOs. Content analysis is the method employed in this study. A sample of humanitarian NGO annual reports and web pages is studied to describe the NGOs and determine their approaches to process improvement. The sample contains a mix of NGOs based on their location (France or Canada), organisational size and scope of operations (development aid, disaster relief, etc.). Contingency theory is useful in linking contingency factors to process improvement approaches. NGO size, operational scope and organisational culture factors are linked to use of standards. This is one of the first (if not the first study) to adopt contingency theory in an investigation of process improvement approaches among humanitarian NGOs. It focuses on a managerial issue of great relevance – process improvement in humanitarian operations.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2018.1424374 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:56:y:2018:i:21:p:6828-6841
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2018.1424374
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().