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This study aims to identify key research clusters (or sub-fields) in the field of performance measurement research, analyse its historical development and propose future research avenues.

Several bibliometric analysis methods, including co-citation analysis and text mining techniques, were used to review papers published on performance measurement research.

This study reveals eight main clusters of research in this field, ranging from theoretical-focused clusters (e.g. strategic performance measurement) to practical-focused clusters (e.g. design of performance measurement). These clusters are further categorised into four groups based on the size and degree of connectedness. Regarding the analysis of historical development, the established clusters, such as supply chain management, remain important, while newer clusters, such as hospitality and humanitarianism, have recently gained increasing interest.

This study applies citation-based clustering, a type of bibliometric literature review method that has been underused in the field of performance measurement. Moreover, the results obtained from this study are also distinct from those of previous studies, offering valuable insights especially for researchers. With a comprehensive understanding of the field, researchers can use it to understand the key literature, observe ongoing developments within their specialisation and inform their future research directions.

This paper aims to develop a framework for the bioaccounting measurement of environmental assets based on natural wealth sustainability. Specifically, this paper proposes a theoretical structure for qualitative and quantitative organization-level assessments of the existence and circulation of water, air, wildlife, flora, soil and subsoil resources.

This research used an inductive method with a qualitative and quantitative approach. The authors postulate a systemic and comprehensive bioaccounting measurement of environmental assets, including heterogeneous and homogeneous methods and quantitative and qualitative valuations of the resources that comprise environmental assets.

The authors describe a theoretical structure for the bioaccounting measurement of environmental assets based on the sustainability of natural wealth through heterogeneous and homogeneous measurement methods and show how to integrate these assets through an homogeneous method.

The development of this general theoretical structure will require the integration of theoretical, conceptual and technical developments from multiple disciplines. The authors hope that the scientific community will evaluate and study this proposal for faster progress towards its practical implementation in organizations.

The authors structured the bioaccounting measurements, which are presented individually for each class of environmental assets. Each of these assets requires subcategories (accounts, subaccounts and resources) and recognition/measurement units. Environmental value units (EVUs) are used to standardize the plurality of measurement units.

Given that knowledge hiding hampers the management of employee knowledge, it is important to measure the phenomena before applying the intervention to alleviate it. This paper aims to validate knowledge hiding measurements in South Korea.

The research collected 420 and 415 different Korean employee samples for each study, and they responded to their quality of knowledge hiding. The research conducted factor analysis using Mplus software and the Rasch model using JMetrik software based on the item response theory.

The research validated Korean versions of knowledge hiding measurements consisting of three factors and ten items. The study also found that knowledge hiding has a negative relationship with knowledge sharing and an unexpectedly positive relationship with team creativity. The study confirmed that the modified measurement yields acceptable discriminant and convergent validity.

The research relied on self-reported data and may have an issue measuring their knowledge hiding generously. Therefore, researchers are encouraged to measure it from others, including supervisors and colleagues. This research has theoretical implications for psychometrically and systematically validating the measurement.

The research includes practical implications for contributing to Human resource development practitioners could assess employee traits accurately and manage their negative knowledge behavior.

The research suggests the implications for detecting a positive relationship between knowledge hiding and team creativity. The study discussed that the specific climate could contribute to team creativity in Eastern contexts.

The research identified the importance of a psychometric validating process in the development of measurements.

The process of performance measurement provides support to company management to achieve the objectives established in strategic planning. Through the definition of critical success factors and related key performance indicators, performance measurement verifies the gap between planned objectives and the results achieved, informing the responsible bodies to enable them to evaluate performance and, if necessary, implement improvement actions. Although many types of companies adopt performance measurement, this process is challenging when applied to national health services. This paper aims to identify the evolution of performance measurement and the critical success factors of national health services.

The authors conducted an explorative case study of a leading national health service to delineate the evolutionary path of performance measurement and the main critical success factors.

The results indicate a significant increase in the maturity of performance measurement of a national health service that has been motivated by international reforms and national regulations. This research highlights performance measurement features such as a balanced set of metrics, targets, and incentives linked to strategic objectives and regular and frequent performance reviews. Furthermore, it identifies the performance measurement model of a leading national health service.

The evolution of performance measurement and numerous critical success factors of national health services are described; the critical success factors cover a wide range of financial to operational aspects such as patient safety, organizational appropriateness, and clinical appropriateness.

The purposes of this study were to calculate the confirmatory factor analysis in the measurement model using robust measures (McDonald’s omega and Cronbach’s alpha) to ensure the reliability of the proposed scale and to explore the measurement invariance of the scale per the participants’ gender.

The methodological sample had 408 students from a private university in northern Mexico, of which 200 (49%) were male and 208 (51%) were female; the sample age range was 18–58 years (M = 22.4 years, SD = 6.0). The data analysis included descriptive and normality, dimensionality, reliability and measurement invariance.

The social entrepreneurship competency measurement model showed acceptable adjustment indexes in evaluating the internal structure, reliability and factorial invariance by gender of the study participants.

Even though the contributions of this study are evident, these findings must be taken with caution due to some limitations. First, the proposed measurement model uses a self-reported scale, so it is essential to include other measurement methods with less implicit social desirability. Second, although the sample was intended to be representative, it only drew from a specific geographical area, making it difficult to generalize these findings to culturally diverse areas. Third, this study did not consider other validity measures; for example, concurrent, divergent and predictive, so future studies should consider examining the relationship of social entrepreneurship with other factors.

From the practical perspective, this study provides a parsimonious instrument regarding the number of items included in the measurement model. From the theoretical perspective, the present study contributes to delimiting the dimensions of social entrepreneurship competency.

This study contributes to the field of social entrepreneurship, particularly in the area of construct measurement, by offering a measurement model with solid evidence of internal structure validity, reliability and factorial invariance for the perceived achievement of social entrepreneurship competency.

The pivotal aspect of aircraft assembly lies in precise measurement accuracy. While a solitary digital measuring tool suffices for analytical and small surfaces, it falls short for extensive synthetic surfaces like aircraft fuselage panels and wing spars. The purpose of this study is to develop a “combined measurement method” (CMM) that enhances measurement quality and expands the evaluative scope, addressing the limitations posed by singular digital devices in meeting measurement requirements across various aircraft components.

The study illustrated the utilization of the CMM by combining a laser tracker and a portable arm-measuring machine. This innovative approach is tailored to address the intricate nature and substantial dimensions of aircraft fuselage panels. The portable arm-measuring machine performs precise scans of panel components, while common points recorded by the laser tracker undergo coordinate conversion to reconstruct the fuselage panel’s shape. The research outlines the CMM’s measurement procedure and scrutinizes the data processing technique. Ultimately, the investigation yields a deviation vector matrix and chromatogram deviation distribution, pivotal in achieving enhanced measurement precision for the novel CMM device.

The use of CMM noticeably enhances fuselage panel assembly accuracy, concurrently reducing assembly time and enhancing efficiency compared to conventional measurement systems.

The research’s practical implication lies in revolutionizing aircraft assembly by mitigating accuracy issues through the innovative digital CMM for aircraft synthetic structure type product (aircraft fuselage panel). This ensures safer flights, reduces rework and enhances overall efficiency in the aerospace industry.

Introducing a new aircraft assembly accuracy compensation method through digital combined measurement, pioneering improved assembly precision. Also, it enhances aerospace assembly quality, safety and efficiency, offering innovative insights for optimized aviation manufacturing processes.

Torque is one of the main loads acting on the aircraft wing, the horizontal tail and the vertical tail. In flight load measurement, due to the significant influence of the bending moment and the shear force on the strain gauge, the accuracy of torque measurement is usually low. Therefore, aircraft torque measurement is difficult. Based on the characteristics of a certain type of horizontal tail, a measurement method for the torque with high accuracy was proposed in this paper.

A new simplified torque measurement method for the all-moving horizontal tail was proposed based on the spiral driver. The feasibility of the method and key points of the tests were analyzed and studied through a virtual load calibration test.

Based on the results of the real load calibration test, the torque load equation with high accuracy was established, and the torque measurement was achieved in load flight tests.

However, the proposed method is based on the structure of the spiral driver. If there is generally no spiral driver at the aircraft wings and vertical tails, then the appropriate torque measurement method needs to be derived according to the specific object.

The research in this paper provides a new idea for the torque measurement of aircraft structures, which can be used for the torque measurement of subsequent aircraft types.

Recently, gauge repeatability and reproducibility (GR&R) study has been highly regarded by the quality practitioners when QS9000 and D19000 become fashionable requirements for manufacturing industries. Measurement plays a significant role in helping organizations improve their product quality. Good quality of products is the key factor towards business success. Therefore, how to ensure the quality of measurement becomes an important task for quality practitioners. In performing the GR&R study, several parameters, such as the appropriate sample size of parts (n), number of inspectors (p) and replicate measurements (k) are frequently asked by quality personnel in industries. The adequacy of current way of (n, p, k) selection is very questionable. A statistical method using the shortest confidence interval and its associated computer programming algorithm are presented in this paper for evaluating the optimal allocation among sample size of parts (n), number of inspectors (p) and replicate measurements (k). Hopefully, it can provide a useful reference for quality practitioners in industries.

The purpose of this paper is to demonstrate how a systems approach can be used to facilitate the development of an organizational performance measurement system.

Based on a review of the literature, the paper introduces the implications for applying a systems approach to organizational performance measurement. To demonstrate the transition from theory to practice, a case study is provided to show how a sustainable development performance measurement system was developed at a Canadian electric utility. The case study involved extensive consultation with over 25 experts.

The paper finds that a systems approach is useful in developing the process and that a set of formal systems criteria is useful in developing the structure and content of a performance measurement system. These concepts are highlighted throughout the case study example.

The case study section was based on findings from a single organization. Further work is required to validate the findings within other organizations.

The paper shows how a robust sustainable development performance measurement system may be developed at an electric utility. The overarching emphasis on integration of the system with the case utility's mainstream initiatives demonstrates that a performance measurement system must build on what the organization already has in place. The systems‐based approach and formal systems criteria used in the paper may be transferable to other organizations.

The paper shows that a systems approach provides both the structure and flexibility needed to guide the design, implementation, and evolution of a sustainable development performance measurement system within existing organizational infrastructure.

Draws a comparison between the use of a genetic algorithm and the sequential function specification method for the solution of a one‐dimensional linear inverse thermal field problem, based on the use of noisy measurements. In solving this problem aims to estimate the value of a single constant convective heat transfer coefficient. Documents the findings that both approaches can provide estimates within 1 per cent of the target solution and that the sensitivity and robustness of each approach to measurement location, time step size and measurement errors are markedly different.