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A new method for context factors analysis in international development project planning

Anton Talantsev, Aron Larsson and David Sundgren

International Journal of Applied Management Science, 2018, vol. 10, issue 4, 290-318

Abstract: 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.

Keywords: project success factors; context factors; project uncertainty; project risk analysis; logical framework approach; LFA; Monte Carlo simulation. (search for similar items in EconPapers)
Date: 2018
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