Relationships between NPM, the use of PM practices and the organizational performance: empirical evidence from government agencies

Purpose – this paper has two main purposes: (1)explore if government agencies more oriented to NPM postulates are more willing to use PM practices and to improve their performance; and (2) investigate whether the fit between the use of PM practices and the organizationa performance is dependent upon from the capacity of agencies to adapt its structures to changes introduced by NPM reforms. Design/methodology/approach - this paper is based on the survey method and provides empirical evidence from Portuguese government agencies.Findings (mandatory) - Our findings suggest that government agencies that made structural arrangements under the NPM reforms are more willing to use PM practices and will perform better than other agencies. In addition, this paper show that therelationship between the use of PM practices and the organizational performance is dependent upon from the agencies capacity to adopt new structural arrangements under the NPM reforms.Practical implications – this paper has three main contributions: (1) contribute to knowledge about the relationship between the introduction of NPM changes in the use of PM practices; (2) contribute to clarify whether agencies more oriented to NPM postulates are improving performance; and (3) help to clarify the way the organizations should adapt their structures for to be more effective in the use of PM practices. Originality/value - The quantitative empirical research, based on the unique survey applied to Portuguese government agencies on this field, allow us to add to prior research mainly based on case studies and oriented to local governments (Budding, 2004).

Semi-automatic 3D Segmentation Of Costal Cartilage In CT Data From Pectus Excavatum Patients

One of the current frontiers in the clinical management of Pectus Excavatum (PE) patients is the prediction of the surgical outcome prior to the intervention. This can be done through computerized simulation of the Nuss procedure, which requires an anatomically correct representation of the costal cartilage. To this end, we take advantage of the costal cartilage tubular structure to detect it through multi-scale vesselness filtering. This information is then used in an interactive 2D initialization procedure which uses anatomical maximum intensity projections of 3D vesselness feature images to efficiently initialize the 3D segmentation process. We identify the cartilage tissue centerlines in these projected 2D images using a livewire approach. We finally refine the 3D cartilage surface through region-based sparse field level-sets. We have tested the proposed algorithm in 6 noncontrast CT datasets from PE patients. A good segmentation performance was found against reference manual contouring, with an average Dice coefficient of 0.75±0.04 and an average mean surface distance of 1.69±0.30mm. The proposed method requires roughly 1 minute for the interactive initialization step, which can positively contribute to an extended use of this tool in clinical practice, since current manual delineation of the costal cartilage can take up to an hour.

PROPOSAL OF AN EMPIRICAL MODEL FOR SUPPLIERS SELECTION

The problem of selecting suppliers/partners is a crucial and important part in the process of decision making for companies that intend to perform competitively in their area of activity. The selection of supplier/partner is a time and resource-consuming task that involves data collection and a careful analysis of the factors that can positively or negatively influence the choice. Nevertheless it is a critical process that affects significantly the operational performance of each company. In this work, trough the literature review, there were identified five broad suppliers selection criteria: Quality, Financial, Synergies, Cost, and Production System. Within these criteria, it was also included five sub-criteria. Thereafter, a survey was elaborated and companies were contacted in order to answer which factors have more relevance in their decisions to choose the suppliers. Interpreted the results and processed the data, it was adopted a model of linear weighting to reflect the importance of each factor. The model has a hierarchical structure and can be applied with the Analytic Hierarchy Process (AHP) method or Simple Multi-Attribute Rating Technique (SMART). The result of the research undertaken by the authors is a reference model that represents a decision making support for the suppliers/partners selection process.