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Police agencies are under pressure to improve their performance and provide outstanding services for the community. In response, academics and practitioners have called to adopt effective methods that help these agencies to achieve their goals. Studies reported that benchmarking has a role to improve organisational performance. However, poor evidence of using benchmarking within police agencies and very few studies examine the relationship between it and police performance. Motivated by this gap, this study aims to explore and examine this relationship under the mediating role of innovation culture.

A quantitative methodology was utilised in this study. Data used to examine the hypotheses were obtained from the departments and stations of the Dubai Police Force (DPF), and the population comprised head section officers. A total of 338 questionnaires were distributed to respondents, 252 of which were returned. The hypothesised relationships were tested with the data collected by SPSS and SmartPLS statistical software.

Findings clearly show that benchmarking is directly and indirectly associated with the organisational performance of the DPF through innovation culture. Results support the notion that innovation culture facilitates the implementation of proper benchmarking projects in the DPF, which positively affects different aspects of its performance.

This study includes several limitations. Specifically, the generalisability of the findings should be considered. The analysis applies only to the DPF in the UAE. Thus, investigating and analysing variables in different police agencies in the UAE or internationally would be valuable.

Several recommendations are provided in relation to the obtained results to assist managers and decision makers in the DPF and other police agencies. This study includes suggestions for improving police performance by establishing an innovation culture and adopting benchmarking practices.

Although several contributions indicated that benchmarking and innovation culture is a key determinant of success, the literature lacks empirical studies investigating this link in the police field. This study is the only one to date that examined this relationship in police services. Accordingly, this study seeks to bridge this gap and delivers empirical evidence and theoretical insight to better understand this relationship.

Importance-performance analysis (IPA) is an effective tool for firms to prioritise service quality attributes, but has limitations in evaluating and enhancing service quality within a competitive environment. The purpose of this paper is to present an evolved model of IPA – importance-performance benchmark vectors (IPBV) – as a benchmarking tool and investigate its applicability in the context of hotel service quality.

Empirical studies based on self-completion survey data from 150 customers of two full-service hotels in Taiwan were conducted in to examine the practical utility of IPBV.

Eight key benchmark typologies were identified and expressed as vectors in the IPBV model which are as follows: “sustainable advantage”, “potential strength”, “false advantage or outstanding advantage”, “cease-fire competition”, “false disadvantage or on-hand disadvantage”, “potential weakness”, “dangerous warning” and “head-on competition”.

The paper extends the methodology to more cases, and other service industries to test further the discriminatory power of the model and to explore the descriptors in the IPBV vector model. Alternative seven-point or nine-point Likert scales could be explored to test the discriminant validity using means. The alternative IPA diagonal approach focussing on GAP analysis may reveal alternative interpretations for the IPBV vector model. Other extended models of IPA, which include competitor analysis, should be compared in practice using a data set where both quantitative and qualitative data could be generated.

The paper proposes the two-dimensional IPBV model which retains the advantages of IPA, but also includes competitor or benchmark comparisons which enable organisations to analyse their relative competitive position. The two-part model provides both quantitative information and qualitative interpretation of relativities. The graphical matrix models provide simple quantitative analysis of attributes, whilst the IPBV vector model provides qualitative interpretations of the eight competitive market positions. Vector analysis enables the development of competitive strategies relative to benchmarks, or within a competitive set. Importance is retained and means that organisations can benchmark against a range of competitors prioritising specific attributes for resource allocation.

The interpretive utility of the model should be explored with practitioners and decision makers in the service industries. The model has been designed for practical use in industry to inform operational and strategic decision making, its usefulness in practice should be explored and the attitudes of practitioners to the model should be tested.

Traditional approaches to benchmarking have adopted a one-dimensional approach that does not include a measure of the relative importance of the service quality dimensions in specific markets. This research develops a two-dimensional advanced model of IPA, called IPBV, which is based on vector relationships between key attributes of service quality. These vectors are explored and described in competitive terms and the model is discussed with regard to its implications for industry, practitioners and researchers.

The Program for International Student Assessment (PISA) measured 15-year-olds’ performance in mathematics, reading, and science. The purpose of this paper is to use the assessment results of PISA 2006, 2009, and 2012 to benchmark the compulsory education performance of 65 countries and economies with emphasis on two benchmarking steps: identifying benchmarks and determining performance gaps.

The authors use a multi-criterion and multi-period performance categorization method to identify a group of best performers as benchmarks. Then, the authors use two-sample t-tests to detect against benchmarks whether each country or economy has significant performance gaps on individual performance measures.

Based on the mean scores of three assessment subjects in PISA 2006, 2009, and 2012, six best performers (Top-6) are identified from 65 participating countries and economies. In comparison with Top-6’s weighted averages, performance gaps are found for most countries and economies on the mean score of each subject, the percentage of top-performing students in all three subjects, and the percentage of lowest-performing students in each subject.

For compulsory education systems around the world, this paper provides an original categorization of performance based on the results of three PISA cycles, and provides new insights for countries and economies to prioritize improvement efforts to increase average performance, pursue excellence, and tackle low performance. For benchmarking applications involving multi-criterion and multi-period data, this paper presents a novel method of using statistical control charts to identify benchmarks and then using two-sample t-tests to determine performance gaps on individual performance measures.

The purpose of this paper is to redress the imbalances in the past literature of supply chain benchmarking and enhance data envelopment analysis (DEA) modeling approach in supply chain benchmarking.

The paper is sorted into sections: benchmarking, definitions, concepts and literature survey, supply chain benchmarking, problems in supply chain benchmarking, existing tools used in benchmarking, problems in existing tools and motivation of using DEA as a supply chain benchmarking tool. A range of recently published (1995‐2004) works is referred and aims to provide insights into possible new research focus in supply chain benchmarking.

Provides information about new trends in supply chain benchmarking and what are the existing problems. Recognizes the lack of mathematical modeling tool in addressing this issue.

Supply chain benchmarking is gearing towards a holistic approach. DEA is deemed to be an appropriate benchmarking tool with modifications in existing model.

Provide insights to managers on the use of DEA in decision making at strategic level.

This paper fulfils an identified information/resources need and offers insights to the future research focus in supply chain benchmarking.

Prior research has demonstrated that investment management performance fees have the characteristic of a call option. It is important to examine whether these performance fees are consistent with traditional fee structures used by investment managers. It is also worth examining whether clients or managers benefit significantly more than the other party under performance fee structures. The paper aims to discuss these issues.

The authors use Black-Scholes options pricing methodology to examine three cases of performance fee structures. The Absolute Hurdle case examines the fee structure where the manager receives a portion of the return over a pre-defined absolute rate of return. The Benchmark Relative Hurdle case shows a fee structure based on performance in excess of the return of a benchmark portfolio. The Breakeven Relative Hurdle case illustrates the fee structure where there is revenue neutrality with the classic management fees when portfolio performance matches the benchmark.

The findings of this paper illustrate that a particular performance fee structure can be designed to have the same revenue as a traditional investment management fee structure. Such a structure is equally beneficial to both the investment manager and to the client and should have salutary motivational effects to improve investment results, while simultaneously rewarding the manager for value added at a fair price for both the manager and the investor.

This study is unique in that it examines three cases of performance fees and provides a comparison between performance fee structures and traditional investment management fee structures. The findings will assist investment portfolio managers in better setting management fees they charge clients. In addition, this study help with clients who feel they are being charged excessive management fees by their investment manager.

Overall, the UK’s representation in the top 100 in the Times Higher Education World University Rankings has declined since 2011. The basic rationale of the project is to improve performance of universities generally and their standings in rankings particularly. The paper aims to discuss these issues.

The key research questions of this study ask which performance indicators should be improved and which benchmarking partners should be chosen. Two selected universities have been chosen as featured case studies to illustrate the proposed template.

A user-friendly template for benchmarking has been developed as a tool for self-evaluation and self-improvement by having a systematic comparison of appropriate measures of performance among the universities in the UK. The template can be extended by identifying internal and external benchmarking partners for the corresponding indicators.

There is more work to be done during and after the formal benchmarking activity which has not been addressed in the template.

This is a practical approach. It is very simple to be implemented for self-evaluation and self-improvement.

Once completed it will help institutions to assess their performance, identify areas for benchmarking and select internal and external partners.

This is a new and practical approach. The proposed template is designed to be used before the formal benchmarking activities or site visits.

The purpose of this paper is to provide a common framework for benchmarking practices used in higher education.

An electronic questionnaire survey was distributed to senior management team and senior administrators among the top 200 UK universities in the world.

A review of the current practices of benchmarking among the universities in the UK is presented and the types of performance indicators adopted within universities in relation to research, teaching and administration are outlined.

The suitability of performance indicators adopted in the current national and international rankings is also investigated. Opinions of respondents on important factors for successful benchmarking are also compiled and analysed.

This paper describes a benchmarking framework applied to medium-sized urban public bus agencies in the United States, which has overcome the challenges of data quality, comparability, and understanding.

The benchmarking methodology described in this paper is based on lessons learned through seven years of development of a fixed-route key performance indicator (KPI) system for the American Bus Benchmarking Group (ABBG). Founded in 2011, the ABBG is a group of public medium-sized urban bus agencies that compare performance and share best practices with peers throughout the United States. The methodology is adapted from the process used within international benchmarking groups facilitated by Imperial College and consists of four main elements: peer selection, KPI system development, processes to achieve high-quality data, and processes to understand relative performance and change.

The four main elements of the ABBG benchmarking methodology consist of 18 subelements, which when applied overcome three main benchmarking challenges: comparability, data quality, and understanding. While serving as examples for the methodology elements, the paper provides specific insights into service characteristics and performance among ABBG agencies.

The benchmarking approach described in this paper requires time and commitment and thus is most suitably applied to a concise group of agencies.

This methodology provides transit agencies, authorities, and benchmarking practitioners a framework for effective benchmarking. It will lead to high-quality comparable data and a strong understanding of the performance context to serve as a basis for organizational changes, whether for policy, planning, operations, stakeholder communication, or program development.

The methodology, while consistent with recommendations from literature, is unique in its scale, in-depth validation and analysis, and holistic and multidimensional approach.

The purpose of this paper is to present a process model of value-adding corporate real estate and facilities management and indicators that can be used to measure and benchmark workplace performance and the added value of workplace interventions for an organisation.

The paper compares the performance measurement and benchmarking theory with current practice and data from different work environments. The paper builds on two books on adding value through buildings, facilities and services, both edited and co-authored by the authors of this paper. The books were based on literature reviews, interviews with practitioners, cross-border studies of performance measurement and benchmarking and in-depth analyses of various value parameters by experts from different countries. In addition, theory and empirical examples of benchmarking have been included.

The paper presents 12 value parameters that are seen as relevant in measuring and benchmarking of workplace performance: four people-oriented, four business processes-related, two economic and two social parameters. Because not all values can be easily expressed in monetary units, various other ways of measuring are presented that can help to monitor and to benchmark workplace performance. The 12 values and ways to measure can be used to support a more integrated business case approach that goes beyond “dollar-metrics” and spreadsheet-based decision-making. Both quantitative and qualitative performance indicators, including hard and soft factors, are needed to define the trade-off between the costs and benefits of interventions in corporate real estate, facilities and services and to cope with the interests and needs of different stakeholders.

To add value to an organisation, workplaces have to provide value for money by a positive trade-off between the benefits, i.e. support of the organisational objectives and the primary processes and the costs, time and risks connected with achieving these benefits. Widely used indicators to measure the costs are the investment costs, running costs and total cost of occupancy. These metrics are primarily connected to efficiency, i.e. to optimal use of the resources of a firm, but much less to effectiveness and benefits such as user satisfaction, productivity, health and well-being.

The paper links performance measurement and benchmarking to value-adding corporate real estate and facilities management and presents new ways to measure and benchmark the performance of buildings, facilities and services in connection to organisational performance.

Using data collected in 1999 from manufacturing units, this paper reports the results of an investigation into the interactive effect of benchmarking and incentives on manufacturing unit performance. Based on a mail questionnaire sent to a sample of manufacturing units within U.S. electronic industry, the results of this paper provide evidence of significant interaction effect of benchmarking and incentives resulting in product cost improvement and product quality performance.