In the transition and developing countries the use of surplus real property might be a good response to the acute need for local sources of revenues provided the requirements of the new public management regarding efficiency, effectiveness and quality of public services are carefully observed. The research has focused on the case of Romanian cities' real properties, aiming to reveal the problems of the existing municipal real property (MRP) management system in relation to both overall city conditions and the characteristics of the institutional and organizational framework. A questionnairebased survey followed by nonparametric statistical tests have been employed in this respect, confirming the working hypothesis which points to the importance of the existence of an MRP plan, an MRP strategy and an MRP unit at municipality level for the effective use of these assets. A series of viable solutions to the problems identified have been also formulated. Points for practitionersThe article emphasizes the decisive role of the strategic approach and corresponding instruments for effective MRP management, putting forward valuable recommendations for making MRP an important source of revenue for municipal governments. They are derived from the findings obtained within the EU-funded project entitled 'Municipal Property Management in South-East European Cities' (PROMISE) by the Bucharest University of Economic Studies team, one of the 13 partners involved. Its contribution has been nominated by the International Project Management Association among the

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Finding the main influencers in brand indicators is a challenge for every marketing manager and researchers working in the branding investments area. How much to invest, which is the proper media channel mix or what is the influence of brand heritage are the questions of interest and which the paper responds to. Therefore, this paper is aiming to analyze the brand performance indicators in 2018 (awareness, trial and usage) for over 700 brands in Romania based on their investment on each media channel for 2014-2018 period and 2014 brand indicators. As for characterization of media investment 47 variables were retained, principal component analysis was used for reducing factors of influence. Thus, four main components were retrieved: media investment in absolute measures, main and second proportion in terms of media channel mix, and qualitative aspects of the brand. In conclusion, some multivariate regressions were built for identifying impact on each 2018 brand indicator using the four principal components and 2014 levels of the brand indicators.

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