Abstract

AMOAH, Armstrong; BERBEGAL-MIRABENT, Jasmina  and  MARIMON, Frederic. What drives project management success in developing countries? The case of Ghana. Tec Empre. [online]. 2022, vol.16, n.2, pp.55-78. ISSN 1659-3359.  http://dx.doi.org/10.18845/te.v16i2.6186.

Many projects in developing countries (DCs) have been recognised as crucial forces for poverty reduction and making people’s lives easier. Despite their relevance, projects in these countries typically fail or are abandoned before completion. Recent calls suggest that projects in DCs are multifaceted, interdependent and of a complex nature; consequently, they are influenced by various factors that are specific to these territories, requiring new research efforts that delve deeper into the particularities of this specific setting. Literature on project management success (PMS) in DCs is very limited, and the existing attempts either rely on PMS factors for developed countries and/or use conventional variable-oriented analyses that are not transferrable to the context of DCs. Aiming to shed new light on the factors that shape PMS in DCs, this study examines both the configurational and the independent influence of three factors that have been emphasised in project management literature as determinants of PMS. To achieve this objective, a survey was conducted among 215 project management practitioners in Ghana. First, we validate the factors’ structure obtained from literature. Next, we examine the configurational influence of these factors on PMS in DCs, complementing the findings with robustness checks. Our results support the existence of distinct pathways, suggesting that there is no unique recipe, but different strategies that can be followed. The study concludes with a series of recommendations that are expected to help engineers and project managers in DCs understand and deal with project management challenges.

Keywords : Organisational capacity; organisational structure; leadership; project management success; qualitative comparative analysis; structural equation modelling.

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