Aggregate Performance Indicators Research Articles

Performance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track

The article presents the results of performance indicators analysis of groups of universities participating in “Leadership in Research” track (hereinafter referred to as the research track) of the strategic academic leadership program Priority 2030. To solve this problem, the displaced ideal method was used, which allows to compare the aggregated performance indicators of three groups of universities. The comparative analysis of the special part performance indicators was carried out and also included aggregated indicators of basic and special parts in 2022. To assess the dynamics of universities’ activities in 2020–2022, aggregated indicators of the special part were analyzed. The research showed that special part performance indicators achieved by universities participating in the Program correspond quite well with the results of the general assessment, accepted by the Council at the end of 2023. It was found that the achievement of performance indicators for universities in implementing their development programs had a significant impact on the positions of participants in the research track and enabled the rotation mechanism to be launched in full power for the first time since the beginning of the Program. As a result, 30% of universities in the research track changed their groups

Correlation Analysis between Realtime Analyst’s Work, Key Performance Indicator and Service Level

The purpose of this study, which was started in response to the growth of business process outsourcing (BPO) in the Philippines, is to determine how real-time analyst work affects KPIs and service levels. This study utilizes secondary data from the Realtime Analyst's Reports for the period of June 2022 to June 2023. Shrinkage, attrition, and absenteeism data were the top three aggregated Key Performance Indicators that were statistically examined. As a result, it was highlighted that RealTime Analyst's work constitutes a foundation for how aggregated Key Performance Indicators affected Service Level.

Агрегирование взаимосвязанных нечетко определенных диагностических параметров сложно структурируемых объектов

The paper considers the task of fulfilling the conditions for consecutive aggregation of hierarchically related fuzzy parameters of the research object state. The necessary conditions for correlating fuzzy aggregated performance indicators of overlying and lower hierarchical levels of a complexly structured object (CSO) are determined. The paper shows that the conditions for matching the aggregated parameters of overlying and lower levels formulated in the article are synthesis of authors’ previously obtained results, taking into account clear estimates of the parameters in the case of their fuzzy measurement. Based on applying the generalization principle of L. Zade, methods have been developed for aggregating parameters and assessing the clarity degree of matching their preference relations in the integral indicator of the object state. An example of aggregating hierarchically related fuzzy indicators of the complexly structured object efficiency is given, confirming the validity of the findings made in the article.

A framework to formulate and aggregate performance indicators to quantify building energy flexibility

Building energy flexibility is being considered an emerging strategy allowing the demand side actively support the operation and control of variable resources-based energy supply. This study presents the development of a framework to formulate and aggregate energy flexibility indicators (EFIs) to evaluate building energy flexibility. EFIs were developed/selected using the important characteristics of building energy flexible sources, performance factors linked with flexibility services and penalty factors posed by the grid. A multicriteria decision analysis method was then used to develop an Aggregated Energy Flexibility Potential (AEFP) function that can consider the interactions between the power grid, buildings and building energy systems to represent the building's overall energy flexibility potential with a single dimensionless value. AEFP can help determine cost-effective energy flexible sources and solutions for increased energy flexibility. The performance of the EFIs and AEFP developed was evaluated via a case study with two distinct scenarios through simulations. The photovoltaic system provided a peak power demand reduction of 94%, emissions reduction of 46% and energy cost reduction of 54% to the building with an AEFP value of 0.74 (i.e. 74%), whereas a thermal energy storage system coupled with an air conditioning system helped reduce peak power demand by 56.4%, CO2 emissions by 14.5% and energy cost by 32% with an AEFP value of 0.54 (i.e. 54%). Both scenarios verified the effectiveness of the developed EFIs and AEFP for evaluating building energy flexibility.

Unified waste metrics: A gamified tool in next-generation strategic planning

A gamification approach for tackling waste management planning and urban development provide a more engaging and interactive experience with high pedagogical potential. Existing serious games involving waste management are complex in their data ingestion, use, and presentation, limiting individuals' opportunities to gain knowledge and decision-making skills transferrable to the real world. Simulations, by comparison, provide either an oversimplified and unrealistic user interface or explore in depth individual rather than aggregate key performance indicators for waste management, limiting potential knowledge retention. There is a clear opportunity in creating an informative, easy-to-use simulation-based game to help stakeholders build understanding of waste management policies, performance, and causal relationships. This gamified tool provides clear feedback through quick-visibility performance indicators (i.e., waste accumulation index, waste compositional analysis, prevention activities etc.) and offers the opportunity, through multi-criteria decision making, of simulating real-life scenarios and previewing the possible outcomes of certain in-game actions. The research question is how the process of gamification might serve as powerful tool for educating decision makers. The results are considered as a reference point to any policy maker intending to assess environmental performance, proposed activities to reach Circular Economy targets, and European Green Deal and UN Sustainable Development Goals.

Rating Player Actions in Soccer.

We present a data-driven model that rates actions of the player in soccer with respect to their contribution to ball possession phases. This study approach consists of two interconnected parts: (i) a trajectory prediction model that is learned from real tracking data and predicts movements of players and (ii) a prediction model for the outcome of a ball possession phase. Interactions between players and a ball are captured by a graph recurrent neural network (GRNN) and we show empirically that the network reliably predicts both, player trajectories as well as outcomes of ball possession phases. We derive a set of aggregated performance indicators to compare players with respect to. to their contribution to the success of their team.

Country-level efficiency and the index of dynamic entrepreneurship: Contributions from an efficiency approach

The objective of this article is to address aggregate performance indicators in National Systems of Entrepreneurship from an efficiency perspective. Our assessment is based on Data Envelopment Analysis (DEA) applied to data from the Index of Dynamic Entrepreneurship (IDE) for a sample of 60 countries. Besides providing information on the efficiency score of each country, this approach allowed the identification of benchmarks for best practices and the construction of an efficiency ranking. Findings offer guidance for refined entrepreneurship-oriented policies that take into account characteristics of heterogeneous socioeconomic contexts. Surprisingly, top-performing countries in the IDE ranking have relatively inefficient ecosystems while countries in the lowest positions generally demonstrate higher efficiency scores. Implications of our research encompass the need for policymakers to develop more in-depth knowledge concerning their own entrepreneurial ecosystems’ attributes and productivity. Efficient systemic outcomes can be obtained through different configurations, so a hierarchical view of attributes limits the adequacy of policies for different contexts.

Beijardov model profesionalnog identiteta nastavnika

The aim of the research is to use logistic regression to determine the predictive and classification values of the three-dimensional Beijaard's model of teachers' professional identity (teachers as subject-matter experts, didactical experts, and pedagogical experts). Logistic regression as an analytical-statistical procedure for testing this model has not been done so far. The most important results of the research are as follows: the selected set of predictor variables for each element of the criterion variable gives good results in the model; the aggregate performance indicators of the model are within the required limits; the model classifies a satisfactory percentage of cases for all three elements of the professional identity model.

Exogenous priority rules for the capacitated passenger assignment problem

We propose a novel algorithm for the capacitated passenger assignment problem in public transportation where exogenous priority lists define the order in which passengers are assigned. Separating explicitly theses rules from the assignment procedure allows for a great deal of flexibility to model various priority rules. When the actual rules are endogenous, the framework can easily be embedded in a fixed-point specification. Computational experiments are performed on a realistic case study based on the morning rush hours of the timetable of Canton Vaud, Switzerland. The algorithm is able to assign the demand in very low computational times. The results provide evidences that the ordering of the passengers does not have a significant impact on aggregate performance indicators (such as average delay and level of unsatisfied demand), but that the variability at the individual passenger level is substantial. Thanks to its flexibility, our framework can easily be implemented by a railway operator who wishes to evaluate the effects of different policies in terms of passenger priorities.

The quality of service: An overall performance assessment for water utilities

Over the last decades, the delivery of water supply services has changed among regions and actors, in order to meet the changing needs. Those services can be balanced based on the relation between the obligations they must fulfill, the quality offered, and the associated price/value for money. Furthermore, due to the water services inherent characteristics, they are prone to poor quality of service (in general terms). Thus, global performance assessments are of paramount relevance under those constraints. In Portugal, the water regulator has developed a system of performance indicators (partial measures of performance) and, therefore, it is not possible to achieve the desired holistic performance evaluation (global measure). To enable such assessment, we propose an application based on the ELECTRE TRI-nC method to define quality of service categories and aggregate performance indicators. To obtain a coherent family of criteria (i.e., exhaustive, cohesive, and non-redundant) we apply an iso-preference logic. The results obtained are presented through a geographical information system allowing for a clearer visualization of the overall performance of water utilities. The method proposed can be considered a suitable decision support system and useful regulatory tool able to provide policy relevant outputs.

Benchmarking hospitals through a web based platform

Purpose– In a context of international economic crisis the improvement in the efficiency and productivity of public services is seen as a way to maintain high-quality levels at lower costs. Increased productivity can be promoted through benchmarking exercises, where key performance indicators (KPIs), individually or aggregated, are used to compare health units. The purpose of this paper is to describe a benchmarking platform, called Hospital Benchmarking (HOBE), where hospital’s services are used as the unit of analysis.Design/methodology/approach– HOBE platform includes a set of managerial indicators through which hospital services’ are compared. The platform also benchmarks services through aggregate service indicators, and provides an aggregate measure of hospital’s performance based on a composite indicator of the service’s performances. These aggregate indicators were obtained through data envelopment analysis (DEA).Findings– Some results are presented for Portuguese hospitals for the trial years of 2008 and 2009, for which data is publicly available. Details for the service-level analysis are provided for a sample hospital, as well as details on the aggregate performance resulting from services performances.Practical implications– HOBE’s features and outcomes show that the platform can be used to guide management actions and to support the design of health policies by administrative authorities, provided that good quality and timely data are available, and that hospitals are involved in the design of the KPIs.Originality/value– The platform is innovative in the sense that it bases its analysis on hospital’s services, which are in general more comparable among hospitals than indicators of hospital overall performance. In addition, it makes use of DEA to aggregate performance indicators, allowing for user choice in the inputs and outputs to be aggregated, and it proposes a novel model to aggregate service’s efficiencies into a single measure of hospital performance.

Association between quality management and performance indicators in Dutch diabetes care groups: a cross-sectional study

ObjectivesTo enhance the quality of diabetes care in the Netherlands, so-called care groups with three to 250 general practitioners emerged to organise and coordinate diabetes care. This introduced a new...

Tailoring performance evaluation to specific industrial contexts – application to sustainable mass customisation enterprises

This paper proposes an approach for measuring performance improvement through prioritising and aggregating performance indicators (PIs). The proposed approach helps practitioners build, in a formal way, their performance measurement systems. The novelty of the methodology lies in: (i) adapting PIs to specific industrial contexts according to companies concerns and (ii) supporting the decision-making process by providing a holistic and limited number of aggregated PIs. The context considered in the current research is sustainable mass customisation (SMC). Accordingly, a set of SMC indicators are used to illustrate the applicability of the methodology. The implementation and illustration with a real case showed some evidence of its usefulness and pointed out several improvement rooms.

Experimental Study on Aggregate RAC

With the transformation of China's urbanization and accelerated pace of urban agglomeration, increasing construction waste has brought the conflict between the development of urban and environmental degradation. To use recycled aggregate (RA) to a certain extent eased pollution on the environment. Because of the source of RA cause exist quality poor stability, dispersion and other shortcomings. By test, comparative analysis the differences indicators between recycled aggregate and natural aggregate, brick gravel content of recycled coarse aggregate performance indicators in particular made ​​a crushing value performance test. As the research properties of recycled aggregate and adapted to the local grading standards provide a frame of reference.

Uncertainty in Predicted Sequences of Activity Travel Episodes

The application of uncertainty analysis requires appropriate statistics that capture the degree of uncertainty in model forecasts. The prediction of activity-based models of travel demand relates to (a) aggregate performance indicators, (b) origin–destination tables and corresponding traffic flows, (c) individual space–time trajectories, and (d) the sequence of activities that are conducted during the day. Because measures to quantify uncertainty in the sequence of activities have not been developed yet, the aim of this paper is to propose a method to measure model uncertainty in predicted activity travel sequences. The proposed method involves generating predicted activity travel patterns for a set of model runs and quantifying the uncertainty in the sequential information embedded in these patterns by calculating the average effort across all possible pairs of predicted sequences to align these multidimensional sequences. The effort is quantified in a multidimensional extension of the Levenshtein distance. Because computational costs may become prohibitive in large-scale applications of this method, several heuristic approaches are suggested and examined. Results indicate that the suggested heuristics (a) can represent uncertainty in predicted activity travel sequences quite well, (b) tend to approximate the calculated uncertainty on the basis of all possible sequences, and (c) do not however necessarily produce asymptotically more accurate results. Implications of these findings are discussed.

Technological Capacity and Environmental Performance: A Research Note Using Country Level Data

This research note examines, at the macro level, the impact of corporations' technology capacity on environmental performance. Technology capacity is loosely defined as the ability of corporations in a country to acquire or develop new technologies. Building on the IPAT equation from industrial ecology, this note proposes that technological capacity is the main channel for environmental performance improvement emerging from corporations. The analysis reveals that generally, technological capacity is linked with aggregate performance indicators and more particularly with higher degree of eco-efficiency. However, it appears that when looking at the absolute value of ecological stress, technological capacity is detrimental.

Part 3. Multivariate road safety models: Future research orientations and current use to forecast performance

The third part of the state-of-the-art focuses on the future of road safety modeling and on conjectures concerning the evolution of national safety indicators. In the absence of econometric developments specific to road safety modeling, the research future must rely on pre-existing statistical procedures of econometrics applied to discrete/count and to aggregate data. In terms of contents, growing interest in the heterogeneity of road accident outcomes by category of victims could lead to treatments of this issue across research streams, say by top-down and bottom-up developments, but this speculation does not rest on extant adequate formulations of the issue of road user class and victim analysis. But understanding the time profile of aggregate national performance indicators is quite another matter.Concerning forecasting, a key question in countries where the absolute maximum of fatalities is still to come is that of its occurrence, but the answer requires a yet missing explanation of “the mystery of 1972–1973”, here hypothesized to result from the passing demographic wave (see Part 1). This ignorance affects the corresponding answer, in countries for which the maximum is long past, as to whether current performance is heading toward a minimum or toward a constant level: such a forecast can hardly be made if the maximum remains unexplained. In addition, it matters whether any envisaged asymptotic limit amounts to a natural rate combined with a random component, or includes more. It is conjectured that a regression component that would include speed, traffic density and vehicle occupancy rates could explain both the peak of 1972–1973 and the current evolution, notably of fatalities.In the absence of a certain explanation of the Meadow/Matterhorn/Cervin peak profile of the past maximum, forecasts can only combine random terms and known explanatory factors in the notion of Conditional Expected Safety Performance, which includes that of (Conditional) Expected Maximum Insecurity (EMI) and seems preferable to Vision Zero or to alternatives based on analogs of the natural rate of unemployment. Conditional expectations do not skirt the issue of the “level of the tide” by assuming the presence of an unexplained trend level and manually changing it by shifts due to well understood specific safety measures.Forecasts of explanatory variables require views on the political market (notably on the identity of the future median voter), on the workings of individual risk compensation, on the role of economic activity and on the chances of decoupling growth from transport demand, a weak prospect where communications appear more as gross complements than substitutes.

Operationalisation of VRIN Type Resources: Renaissance of Resource Based View: A Study of Implementation of Rural Health Care Programmes in India

The resource based view has emerged as a significant theoretical perspective in terms of contribution to Strategic management literature. It now is trying to emerge as a perspective which is in a position to develop a theory of the firm. Yet, it faces a serious limitation of poor empirical support for its main postulates. The main reason being poor or an inherent difficulty of operationalisation of its main concepts of resources and Sustained competitive advantage. Reviews have suggested certain procedures to be followed for improved operationalisation. This paper takes a view that the key to proper operationalisation of RBV concepts lies in the proper understanding of the definitions of its key concepts. The key lies in defining the specificity of resources and their linkage to performance and therefore Sustained competitive advantage. It also means use of intervening outcome variables which show such a linkage while avoiding use of aggregate performance indicators. Based on a larger dissertation, this paper uses an iterative grounded approach to identify VRIN type resources which enabled units providing rural health care to consistently achieve programme objectives ahead of other similar units. These resources – identified as 'key resources' – were shown to be valuable because they enabled execution of multiple services in different programme activities and were essential for such an execution. They were Rare as the production of such resources was limited and they had no known substitutes except themselves and because of this were inimitable to a large extent. By identifying the logic for proper operationalisation and some key dimensions which enable identification of VRIN type resources, this paper solves a persistent and seemingly intractable issue faced by the Resource based view. In doing so it opens the path for further renaissance of this key perspective.

Renaissance of the Resource Based View: A Conceptual Solution

The resource based view has emerged as a significant theoretical perspective in terms of contribution to Strategic management literature. It now is trying to emerge as a perspective which is in a position to develop a theory of the firm. Yet, it faces a serious limitation of poor empirical support for its main postulates. The main reason is poor or an inherent difficulty of operationalization of its main concepts of resources and Sustained competitive advantage. Reviews have suggested certain procedures to be followed for improved operationalization. This paper takes a view that the Field of Strategic management has been plagued by its reluctance to go for processual studies and shows an extreme emphasis on cross sectional studies. Further, it has neglected research of implementation and has shown extreme emphasis on strategy formulation research. These problems have also impacted research of RBV, especially in the operationalization of its concepts. A resource is an input and can have multiple uses. There is a necessity to identify what use it is put to by linking the specific use to outcomes or utility. The key fact which emerges is that research on RBV has used aggregate outcome indicators and has not linked the use of resources to its utility. This processual disconnect between the inputs and output or performance is the root cause of the inability to operationalize its concepts. This paper takes a view that the key to proper operationalization of RBV concepts lies in the proper understanding of the definitions of its key concepts. First it takes a Penrosian view that all resources are bundles of services and therefore VRIN qualities are a function of what utility a resource is put to and what is the degree of dependence on it. The key lies in defining the specificity of resources and their linkage to performance and therefore Sustained competitive advantage. It also means use of intervening outcome variables which explain such a linkage while avoiding use of aggregate performance indicators. Thus this paper suggests a way to revitalize the Resource based view.

Assessing power stations performance using a DEA‐bootstrap approach

PurposeThe purpose of this paper is to assess the performance of Greek fossil fuel‐fired power stations employing a data envelopment analysis (DEA) model combined with bootstrapping.Design/methodology/approachDEA is used to derive aggregate performance indicators using data on inputs and desirable and undesirable outputs for a sample of fossil fuel‐fired power stations. The statistical significance of the derived aggregate performance indicators is assessed via the bootstrapping approach.FindingsThe results suggest that the power stations in the sample are considerably more inefficient than revealed by the initial point estimates of inefficiency. Moreover, the non‐lignite‐fired stations of the sample are on an average more efficient than the lignite‐fired stations.Research limitations/implicationsDEA represents a useful framework for exploring the current state to derive aggregate performance indicators of power stations, and moreover, the statistical properties of these metrics can be assessed via the bootstrapping approach.Practical implicationsThe bootstrapping approach in DEA shows its superiority over DEA models that do not address the uncertainty surrounding point estimates. The DEA bootstrapping model used in this study to model environmental performance in the power station electricity production setting provides bias correction and confidence intervals for the point estimates and it is therefore more preferable.Originality/valueThe derivation of aggregate performance indicators of Greek fossil fuel‐fired power stations is an important addition to the existing literature on energy economics. The paper is also innovated in providing the statistical properties of the derived performance metrics.