A BIBLIOMETRIC ANALYSIS OF PERFORMANCE MEASUREMENT SYSTEMS IN NON-PROFIT ORGANIZATIONS: COCITATION ANALYSIS
Non-Profit Organizations (NPOs) are endowed with a relevant characteristic, which is the restriction for financial profits generation. Studies show a steady growth of this sector and, for increases the competitive advantages, these organizations come to use tools and business strategy methods in the...
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Published in | Proceedings of the International Annual Conference of the American Society for Engineering Management pp. 1 - 12 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
Huntsville
American Society for Engineering Management (ASEM)
01.01.2017
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Subjects | |
Online Access | Get full text |
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Summary: | Non-Profit Organizations (NPOs) are endowed with a relevant characteristic, which is the restriction for financial profits generation. Studies show a steady growth of this sector and, for increases the competitive advantages, these organizations come to use tools and business strategy methods in their decision makings. These methods can contribute to increased competitiveness when they are supported by a Performance Measurement System (PMS). PMS measures the results through performance indicators, providing more accurate controls over the decision-making processes, as an example, when actions involve internal and external environment aspects, such as Cost Measurement, Quality and Stakeholders evaluate and satisfaction. This articles presents a Bibliometric Analysis of a study and Author Cocitations for a sample of scientific articles, developed in parallel with a Systematic Literature Review (SLR) involving disciplines relating to NPOs and PMS. A Systematic Review adopts judicious methods, with a more consistent basis for the quality of information for a set of scientific publications. This information may present biases, through a systematic research, there is a delimitation of the area, the field of investigation, and it excludes the observation of subjective data. The results contribute to the identification of future investigations, generating a research agenda. |
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