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A new method for context factors analysis in international development project planning
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Mid Sweden University, Sweden.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2018 (English)In: International Journal of Applied Management Science, ISSN 1755-8913, E-ISSN 1755-8921, Vol. 10, no 4, p. 290-318Article in journal (Refereed) Published
Abstract [en]

The long-term success or failure of a development project is largely shaped by the external context. Therefore, assessment of factors influencing fulfilment of long-term development outcomes is vital for better project planning. In recent decades, the logical framework (logframe) has de facto become a standard tool for planning and managing development interventions. While the logframe requires identification of assumptions and risks regarding the external context, it does not suggest ways to analyse them in a conventional risk assessment manner. Also, the log-frame has been criticised for ignoring uncertainty in project environment along with neglecting external opportunities. Therefore, in this paper we suggest a method for project context analysis that extends the log-frame with scenarios analysis and address aforementioned shortcomings. We implement and demonstrate the application of the method on an international aid development project, discuss the method's potential use-cases, specific limitations and future development.

Place, publisher, year, edition, pages
2018. Vol. 10, no 4, p. 290-318
Keywords [en]
project success factors, context factors, project uncertainty, project risk analysis, logical framework approach, LFA, Monte Carlo simulation
National Category
Computer Sciences
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-164355DOI: 10.1504/IJAMS.2018.095347OAI: oai:DiVA.org:su-164355DiVA, id: diva2:1279079
Available from: 2019-01-15 Created: 2019-01-15 Last updated: 2019-01-22Bibliographically approved

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Talantsev, AntonLarsson, AronSundgren, David
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