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The principal objective of the research reported in this article is to validate a Balanced Scorecard (BSC) model and a Strategic Map for the University by studying the relationships of efficiency between its dimensions. Subsequently, the validation is completed by establishing hypotheses of efficiency relationships between the perspectives proposed, employing Data Envelopment Analysis (DEA). Empirical evidence has been obtained on the validity of the proposed BSC for a unit of academic management in the university. The first contribution of this work is the establishment of a framework of analysis of the hypothetical cause-effect relationships in the BSC in university institutions. The second contribution is to obtain the determining factors of the performance in this type of institution and, therefore, the Strategic Map. Specifically, these factors are: the participation of teaching staff in innovation activities; the number of doctorate-level staff; the academic subjects and credits in the Virtual Campus; and the scores in the surveys of student satisfaction. With respect to research, the determining factors of the performance are: the research sexennials; the funding obtained from contracts with companies; the number of research projects obtained; their financing; and the participation of teachers in these projects.
The paper shows an analysis of the global
technical efficiency of container terminals of the main ports of Mexico in the
period 1982-2010, through Data Envelopment Analysis (DEA). This methodology
allows us to measure each decision unit
evaluated in relation to other homogeneous units. The aim of the study
is to determine the importance of global technical efficiency, pure technical efficiency
and scale efficiency in the ports of México. For this purpose, quay length and number of employees are used as input and as
output of the number of containers.
The results show that the Mexican ports in general have a low technical global efficiency
and only the ports showed that technical global efficiency, technical pure efficiency
and scale efficiency were Veracruz and Tuxpan in the year 1982, and Manzanillo
and Lazaro Cárdenas in the year 2010. For that reason, it requires better
operability which means greater mobility of TEUs.
research proposes an integrated approach to the Data Envelopment Analysis (DEA)
and Analytic Hierarchy Process (AHP) methodologies for ratio analysis. According
to this, we compute two sets of weights of ratios in the DEA framework. All
ratios are treated as outputs without explicit inputs. The first set of weights
represents the most attainable efficiency level for each Decision Making Unit
(DMU) in comparison to the other DMUs. The second set of weights represents the
relative priority of output-ratios using AHP. We assess the performance of each
DMU in terms of the relative closeness to the priority weights of
output-ratios. For this purpose, we develop a parametric goal programming
model to measure the deviations between the two sets of weights. Increasing
the value of a parameter in a defined range of efficiency loss, we explore how
much the deviations can be improved to achieve the desired goals of the
decision maker.This may result in various
ranking positions for each DMU in comparison to the other DMUs. An illustrated
example of eight listed companies in the steel industry of China is used to
highlight the usefulness of the proposed approach.