Out of sight, out of mind? Supplier spatial proximity in French public procurement

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The paper studies the impact of spatial proximity on supplier selection in the French public sector. While French public procurement legislation forbids consideration of supplier location in the procurement process, public contractors may still rely on spatial proximity for complex transactions necessitating mutual adjustments with suppliers.
Using French Official Journals (BOAMP), we compiled 565,557 transactions completed on three public procurement markets between 6,182 contractors and 26,570 suppliers, over a period of six years (between 2006 and 2011). We conducted a two-level hierarchical linear auto-regression analysis and a feature evaluation analysis for all transactions.
The paper finds significant variation between the transactions on different markets: a negative effect of spatial proximity on the number of contract notices in the public market and a positive effect of spatial proximity on the number of notices in the services and supplies markets. The difference lies in the levels of mutual adjustment required to optimally manage the relationship between public contractor and supplier.
The research is based on an econometric analysis conducted uniquely in the French context, which calls into question the external validity of the results obtained. The study also rests on segmentation into three aggregate markets, which might be considered too general.
Rather than analyze public contractors’ perceptions of the importance of the criterion of spatial proximity, the paper examines 565,557 actual transactions. The results point to the emergence of a new type of relationship with certain suppliers, which should lead public contractors to integrate relationship management competencies, in addition to legal and economic competencies, in the organization of calls for tenders.

Mamavi, O., Nagati, H., Werhle, F. et Paché, G., (2014). Out of sight, out of mind? Supplier spatial proximity in French public procurement, International Journal of Public Sector Management, Vol. 27, n°6. Download here

Managing strategic network in public procurement

Managing strategic network in public procurementThis study shows the process used by a company to find out business network in order to create collaboration to obtain public contract. We represented, with a graph, the alliance system of 2008 year. We identified first, 1360 strategic networks which structural organization looks like social network and second the main resources providers.These results prompt us to propose a network map which allow the identification of new application of competitive intelligence.

Mamavi, O., (2012) Pilotage de réseaux stratégiques dans les marchés publics, Revue Internationale d’Intelligence Économique, vol.4, n°1, pp. 19-31

Preferential attachment in the formation of strategic alliances

Preferential attachmentThe purpose of this article is to assess the structure of strategic alliances and their functioning in the particular case of public markets. To this end, we analyzed 4203 alliances on French public procurement markets. Our finding show that a significant amount of strategic alliances between companies is determined by preferential attachment. Cohesion resulting from such specific preferences is thought to influence how alliances are maintained as they depend on the relational networks of a company. The article concludes by laying out managerial implications for alliance structuring models as well as new directions for future empirical research.

Mamavi, O. et Meier, O. (2014). Le principe d’attachement préférentiel dans la formation des alliances stratégiques, Revue Française de Gestion, N°241, p.79-91

 

What intelligence can be found in big data? The case of the French public procurement.

Influence de l'allotissement sur le nombre moyen d’attributairesThe purpose of this paper is to demonstrate that public procurement markets are “big data” filed with intelligence information. We analysed the award notice of french public procurement through 2006 to 2010. The results show that big data, used to extract structural indicators, facilitate strategic decision of public purchaser to structure its tenders and strengthen its decision-making power in the selection of suppliers. These results prompt us to propose foundations for future competitive intelligence applications to public procurement.

Mamavi, O., et Morin, S. (2014). Quelle intelligence peut-on trouver dans les données massives ? La cas des marchés publics français. Revue Internationale d’Intelligence Économique. Télécharger ici.