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A majority of products for manufacturing or consumers have multiple characteristics that must meet the requirements of the customer. For example, a steel beam any have dimensional tolerances on its length, width, or height and functional tolerances on its strength. The characteristics are influenced by different processes that create the product. For an individual characteristic, process capability measures exist that convey the degree to which the characteristic meets the specification requirements. Such measures may indicate the proportion of nonconforming product related to the particular characteristic, under some distributional assumptions of the characteristic. For products with multiple characteristics, the unit costs of rectification may be different, making the satisfaction of some characteristics meeting customer requirements more important than others. In this paper, an aggregate process capability performance measure is developed that considers the relative importance of the characteristic based on unit costs of nonconformance. Based on the aggregate measure, appropriate process capability measures for the individual measures are also derived. Bounds on the aggregate capability measures are also established.

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.

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).

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.

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.

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.

The purpose of this paper is to consider organisational performance relating to “sustainability and inclusion” and to assess four related indicators across the manufacturing and service sectors both in absolute performance terms and by level of TQM implementation and organisational size.

The paper is based on two empirical studies (manufacturing and service) undertaken in North Eastern England, involving the application of a self‐assessed benchmarking tool. Data were collected from 128 manufacturers and 428 service organisations where performance measures relating to “sustainability and inclusion” were considered.

The findings presented in this paper indicate the level of performance in “sustainability and inclusion”, together with the impact of size, world‐class status and specific individual and aggregated TQM enablers for both sectors. Both manufacturing and service have some way to go in terms of their performance, whilst organisational size and world‐class appear to influence attainment, as do certain individual and aggregated measures of business practice and internal performance.

The paper shows that further research may involve revisiting the participating organisations to identify the extent of any improvement in their performance relating to “sustainability and inclusion”.

The results in this paper indicate the extent of the room for improvement within both manufacturing and service, but indicate how a greater level of TQM maturity and subsequent internal performance puts an individual organisation in a better position to a certain extent to do this.

The findings in the paper are based on benchmarking data, where the implementation of certain TQM practices and measures of internal business performance have been measured alongside a limited number of measures relating to CSR performance across manufacturing and service as part of a wider regional study. Providing these data together has allowed the exploration of the association between the two sets of measures.

Quality awards, commonly, have basic criteria and sub-criteria to evaluate applicants based on the quality management principles and philosophies. The purpose of this paper is to examine the method of selecting award winners and its consequences.

Award winners’ and non-award winners’ performances of the Ethiopian Quality Award are the study groups. The criteria and sub-criteria evaluation results of the award were collected and analysed by the Mahalanobis-Taguchi System.

The research assumed that award winners’ performances are exceptionally outstanding. However, the result does not justify the assumption. Hence, the drawback of aggregating multivariate performance measures in a quality award is proven. Mahalanobis distance is proposed as alternative approach to evaluate and select organizations.

The outcome of this research will help award givers, evaluators and participants to understand the real difficulty to select very few organizations among applicants. Furthermore, it helps to consider the possible error when aggregating individual performance.

Aggregating performances is a common practice in quality awards evaluation process but this paper proved its drawback.

This study investigates the role of market concentration and efficiency in banking system stability during the COVID-19 pandemic. We empirically test the hypothesis that market concentration and efficiency are significant determinants of bank performance and stability during the time of crises, using a sample of 575 banks in 20 countries in the Middle East and North Africa (MENA).

The main sources of bank data are the BankScope and BankFocus (Bureau van Dijk) databases, World Bank development indicators, and official websites of banks in MENA countries. This study combined descriptive and analytical approaches. We utilize a panel dataset and adopt panel data econometric techniques such as fixed/random effects and the Generalized Method of Moments (GMM) estimator.

The results reveal that market concentration negatively affects bank profitability, whereas improved efficiency further enhances bank performance and contributes to the banking sector’s overall stability. Furthermore, our analysis indicates that during the COVID-19 pandemic, bank stability strongly depended on the level of market concentration, but not on bank efficiency. However, more efficient banks are more profitable and stable if the banking institutions are Islamic. Similarly, Islamic banks with the same level of efficiency demonstrated better overall financial performance during the pandemic than their conventional peers did.

The main limitation is related to the period of COVID-19 pandemic that was covered in this paper (2020–2021). Therefore, further investigation of the COVID-19 effects on bank profitability and risk will require an extended period of the pandemic crisis, including 2022.

This study provides information that will enable bank managers and policymakers in MENA countries to assess the growing impact of market concentration and efficiency on the banking sector stability. It also helps them in formulating suitable strategies to mitigate the adverse consequences of the COVID-19 pandemic. Our recommendations are useful guides for policymakers and regulators in countries where Islamic and conventional banking systems co-exist and compete, based on different business models and risk management practices.

The authors contribute to the banking stability literature by investigating the role of market concentration and efficiency as the main determinants of bank performance and stability during the COVID-19 pandemic. This study is the first to analyze banking sector stability in the MENA region, using both individual and risk-adjusted aggregated performance measures.

This paper aims to explore the steps that need to be taken in developing a measure of global performance for direct real estate.

The paper starts by reviewing the major considerations concerning the available real estate performance series across the world. The paper explains the steps that work through the obstacles of deriving an aggregate performance measure for each of the three regions and then combining them to get a global property returns series. Back‐casting series and weighting assumptions are also covered.

Based on the preliminary results, the paper explores the correlations in the results between different countries, and the performance of “global” property relative to other major asset classes. The paper concludes by drawing out the research issues and implications, and the steps for further research.

Many challenges are involved in the construction of a global index of direct real estate market performance. On the one hand these are associated with the nature of real estate, which tends to be relatively illiquid and immature as an asset class. On the other, there are significant variations in the quality of data availability across countries. IPD has played a huge role in generating consistent data series across countries, and this increases the ability to move towards a “global index” of direct market performance.

The study examines the increasing need for a global performance benchmark for direct real estate and the way a practitioner approaches the limitations and challenges involved in constructing one.

The purpose of this paper is to illustrate the effect of controllability on compensation of Major League Baseball.

The sample consists of Major League Baseball players who have publicly published compensations figures and who have actively played in the Major Leagues. All data used in the study are publicly available. Multiple regression is employed to test the relationship between player's performance and starting salary of the next season.

The paper proposes that strikeouts, bases on balls, and home runs are relatively controllable for both hitters and pitchers because these performance measures are essentially independent of other teammates' performance.

The distinctness of professional baseball players by nature may constrain the generalization of this paper. It is recommended that further interpretation of the effects of controllability on compensation for other high‐interdependency organizations should be made with caution.

It is suggested that managers in low‐interdependency organizations should make a stronger linkage between subordinates' controllable performance and their compensation. If the compensation plan is designed to maximize the subordinates' reward for performing a controllable task, they will be motivated to expend greater effort on it.

The purpose of this paper is to develop a framework for health care performance evaluation that enables decision makers to identify areas indicative of corrective actions. The framework should provide information on strategic pro-/regress in an operational context that justifies the need for organizational adjustments.

The study adopts qualitative methods for constructing the framework, subsequently implementing the framework in a Danish magnetic resonance imaging (MRI) unit. Workshops and interviews form the basis of the qualitative construction phase, and two internal and five external databases are used for a quantitative data collection.

By aggregating performance outcomes, collective measures of performance are achieved. This enables easy and intuitive identification of areas not strategically aligned. In general, the framework has proven helpful in an MRI unit, where operational decision makers have been struggling with extensive amounts of performance information.

The implementation of the framework in a single case in a public and highly political environment restricts the generalizing potential. The authors acknowledge that there may be more suitable approaches in organizations with different settings.

The strength of the framework lies in the identification of performance problems prior to decision making. The quality of decisions is directly related to the individual decision maker. The only function of the framework is to support these decisions.

The study demonstrates a more refined and transparent use of performance reporting by combining strategic weight assignment and performance aggregation in hierarchies. In this way, the framework accentuates performance as a function of strategic progress or regress, thus assisting decision makers in exerting operational effort in pursuit of strategic alignment.

Following the optimal contracting hypothesis, this study investigates the issue of whether the board of director's ex ante choice to incorporate individual performance evaluation (IPE) measures into the CEO bonus plan rewards managerial decisions not reflected in measures of the firm's current financial performance. Empirical results provide evidence that the use of IPE in the CEO bonus plan is an increasing function of the proportion of outsider directors on the board and a decreasing function of the informativeness of financial performance measures. This study also demonstrates how the use of IPE in incentive contracting can explain CEO cash compensation that is not explained by the firm's current performance and governance variables. Finally, the CEO incentive cash compensation not explained by observable performance measures or governance structure is positively associated with firm future performance one year after its award. Overall, results support the optimal contracting hypothesis. IPE appears to be used to increase the informativeness of CEO actions and determine the level of current CEO cash incentive compensation.

When comparing and evaluating performance, decision-makers are concerned with providing a range of effective, efficient, and fair measures that can yield representative relative rankings for the units being evaluated. In this chapter, we apply three multicriteria benchmarking modeling techniques – weighted linear combination, data envelopment analysis (DEA), and ordered weighted average (OWA) – to an example dataset to provide a quantitative assessment of performance. Evaluation of the results demonstrates that each of these techniques has relative strengths and shortcomings. To take advantage of the relative strengths, and avoid some of the shortcomings that we observed, we develop and assess a promising new methodological approach, the order rated effectiveness (ORE) model. ORE uses the OWA unit ratings within a DEA optimization framework to provide an overall relative performance assessment.