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Research on how performance measurement systems affect employees’ perceptions of workplace fairness is important. As organizations often rely on their performance measurement systems to communicate information to their employees, it is useful to ascertain if and how the developments of performance measurement systems that are far more comprehensive than traditional financial systems affect employees’ perceptions of informational fairness through the information communicated to employees. Informational fairness refers to employees’ perceptions of workplace fairness that is based on the amount and the truthfulness of information that organizations provide to their employees. Based on a sample of managers from manufacturing organizations, the Partial Least Square results indicate that comprehensive performance measurement systems (comprehensive PMS) have a significant direct effect on job-relevant information. They also indicate that comprehensive PMS have an indirect effect on informational fairness via job-relevant information. In contrast, systems that are based on financial measures have no significant effects on job-relevant information and informational fairness. These results demonstrate how comprehensive PMS (through the communication of a greater amount of job-relevant information) can be used to engender employees’ perceptions of high workplace fairness.

The purpose of this paper is to investigate the mediating role of comprehensive performance measurement systems (PMS) – i.e. measurement systems that comprise financial and non-financial indicators, and which also consist of indicators related to different aspects of an organisation’s operations – in the relationship between strategy and company performance.

Survey data of top managers of large European companies were collected and analysed by means of exploratory factor analyses and hierarchical regressions in order to validate the proposed hypotheses.

This research shows that different strategies lead to the use of different types of performance indicators. Also, it finds that the utilisation of a comprehensive PMS enables the implementation of both differentiation and cost-leadership strategies. Specifically, a comprehensive PMS positively mediates the effect of differentiation strategy on organisational and innovative performance, and of cost-leadership strategy on organisational performance.

Further research could be undertaken in other contexts and consider additional factors, such as the structure, maturity and different uses of PMS, and the cost of measuring performance. Qualitative studies could examine the role of PMS in dynamic environments, as well as the evolution of PMS during strategic transitions.

Greater consideration should be given to the utilisation of different types of performance indicators when implementing and re-formulating strategy.

This study clarifies the links between strategy and performance measurement, and it is the first to identify the mediating effect of comprehensive PMS between strategy and company performance.

The purpose of this study is to investigate the effects of comprehensive performance measurement systems (PMS), role clarity and strategic flexibility on the individual creativity of founders/managers of startups.

The research population comprises 611 Brazilian startups in the e-commerce, retail and wholesale segments. One owner/manager of each startup was contacted by the survey, obtaining 91 valid responses. For data analysis, symmetric and asymmetric techniques were applied, respectively: partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis.

The findings show that the comprehensive PMS is an important predictor of individual creativity, role clarity and strategic flexibility. Role clarity has a direct effect on creativity and promotes partial mediation between comprehensive PMS and creativity. Comprehensive PMS and role clarity are of great importance and have high performance in favor of creativity, while strategic flexibility has high performance, but is of low importance. Several causal combinations promote high individual creativity.

It offers founders/managers an insight into the aspects that are worth of efforts to foster individual creativity in their startup.

The key contribution of the study is that the comprehensive PMS, which includes financial, non-financial and other measures for product and process innovation, can directly and indirectly (through role clarity) influence individual creativity.

This study aims to empirically examine the effects of using the management control system (MCS) on individual performance mediated by organizational learning. Complementarily, it evaluates the moderating effect of feedforward on the relationship between MCS use and organizational learning.

Structural equation modeling and mediation and moderation analyses were used in a sample of 194 managers from Brazilian companies listed in the Exame Magazine’s “Best and Biggest” ranking.

The results reveal that using the MCS from a cybernetic perspective contributes to organizational learning, contradicting theoretical arguments and empirical evidence that this hinders learning and that feedforward can strengthen this relationship, as long as it is in line with the way of using the MCS. A mediating effect of organizational learning on the relationship between MCS use and individual performance has also been confirmed.

The results demonstrate the effects of MCS use on individual performance and organizational learning by taking a taxonomy of cybernetic use and comprehensive MCS use as a basis. The results provide insights to managers by revealing that MCS use not only influences task performance through organizational learning but also tends to generate cooperative, persistent and initiative-taking behaviors.

The study provides an approach to the behavioral consequences of using the MCS (score-keeping use and comprehensive MCS use) and the role of specific cognitive and motivational mechanisms in individual performance from a multidimensional perspective (task-based, contextual and general).

Reverse logistics (RL) has gained considerable attention in the literature. The first objective of this study is to develop a comprehensive performance measurement (PM) framework and scorecard for RL enterprise. The second objective is to integrate analytical hierarchy process (AHP) approach for RL PM.

The present work presents understanding RL performance and proposes a conceptual comprehensive reverse logistics PM framework and scorecard for managing RL enterprise. The framework developed in the paper is based on an extensive review of literature on RL, PM frameworks such as Balanced Scorecard and performance prism. It is further supported by AHP for calculation of overall comprehensive performance index (OCPI).

The scorecard consists of six performance perspectives, as well as key performance measures. The relevance of these perspectives, especially from the reverse logistics viewpoint, has been authenticated. With respect to each perspective, measures have been proposed that efficiently and effectively address the vital facets of an enterprise's business excellence. The paper further proposes a method to prioritize the different performance levels using AHP methodology. It also suggests an OCPI of the enterprise reflecting its relative position and benchmark in the industry sector.

This study provides a comprehensive PM system and scorecard for measuring and managing RL performance. The integrated AHP methodology developed provides useful guidance for practical managers in evaluation and measuring of RL in a complete and holistic way.

This paper proposes a comprehensive PM system and scorecard for RL. While suggesting scorecard, different performance measures have been assigned into six different perspectives. The OCPI has been calculated and prioritized performance measures are determined to focus on for continuous improvement.

Six-axis force sensors play an important role in civilian and military fields because of their multifunctionality. In the context of sensor structure design, sensitivity and sensitivity isotropy are often considered. This paper aims to study the possible relationship between the sensitivity/sensitivity isotropy and structural parameters of an 8/4–4 parallel six-axis force sensor. A comprehensive evaluation index and structural optimization design scheme are suggested in the end.

Based on the conditional number of the Jacobian matrix spectral norm, the sensitivity and sensitivity isotropy of the sensor are derived. Orthogonal experiments are used to determine the degree of primary and secondary factors that have a substantial effect on the sensor characteristics. The relationship between the performance indices and the structural parameters is analyzed by the performance atlas method. The comprehensive evaluation index lays the foundation for the structural optimization design of an 8/4–4 parallel six-axis force sensor.

The variation in each performance index of the sensor for each of the structural parameters is analyzed, and the structural parameters of the sensor with the desired performance indices can be easily selected from the performance atlases. A comprehensive performance evaluation index with a target value of 1 is proposed, and the overall influence of the structural parameters on the sensor performance index is investigated. A simulation example shows the feasibility of the proposed evaluation index.

The importance of each structural parameter of the 8/4–4 parallel six-axis force sensor is determined through orthogonal experiments in this paper. Relations among the structural parameters meeting the performance indices are derived and shown in the performance atlases. A comprehensive evaluation index is proposed to analyze the overall sensor performance.

The purpose of this paper is to contribute to the literature on management of waqf institutions by developing a contingency framework and outlining approaches that can be followed to instigate a comprehensive performance measurement system (PMS).

It conducts a thorough and critical review of the literature on relevant performance measurement literature of third sector organizations and waqf institutions.

The findings suggest that an effective PMS is undoubtedly significant in promoting good governance and ethical management of waqf institutions. However, the current practice of performance measurement in waqf institutions is less standardized and does not cover its entire aspects of performance as a religious as well as a voluntary organization. It is also found that most waqf institutions’ management and researchers primarily rely on financial reporting and economic indicators to report to the stakeholders about the performance of waqf institutions.

The contributions of this paper are twofold. First, the authors develop a contingency framework for assessing performance of waqf institutions. Second, the authors outline eight necessary steps that can serve as guidelines for waqf institutions in designing their own comprehensive PMS.

The novelty of this paper lies in highlighting the feasibility of adopting qualitative approaches by waqf institutions. This study hopes to shed light on a standard measurement system that can be adopted by the waqf institutions to ensure efficiency and sustainability of the waqf institutions, not just in Malaysia but in the Muslim world.

Consequence prediction is an emerging topic in safety management concerning the severity outcome of accidents. In practical applications, it is usually implemented through supervised learning methods; however, the evaluation of classification results remains a challenge. The previous studies mostly adopted simplex evaluation based on empirical and quantitative assessment strategies. This paper aims to shed new light on the comprehensive evaluation and comparison of diverse classification methods through visualization, clustering and ranking techniques.

An empirical study is conducted using 9 state-of-the-art classification methods on a real-world data set of 653 construction accidents in China for predicting the consequence with respect to 39 carefully featured factors and accident type. The proposed comprehensive evaluation enriches the interpretation of classification results from different perspectives. Furthermore, the critical factors leading to severe construction accidents are identified by analyzing the coefficients of a logistic regression model.

This paper identifies the critical factors that significantly influence the consequence of construction accidents, which include accident type (particularly collapse), improper accident reporting and handling (E21), inadequate supervision engineers (O41), no special safety department (O11), delayed or low-quality drawings (T11), unqualified contractor (C21), schedule pressure (C11), multi-level subcontracting (C22), lacking safety examination (S22), improper operation of mechanical equipment (R11) and improper construction procedure arrangement (T21). The prediction models and findings of critical factors help make safety intervention measures in a targeted way and enhance the experience of safety professionals in the construction industry.

The empirical study using some well-known classification methods for forecasting the consequences of construction accidents provides some evidence for the comprehensive evaluation of multiple classifiers. These techniques can be used jointly with other evaluation approaches for a comprehensive understanding of the classification algorithms. Despite the limitation of specific methods used in the study, the presented methodology can be configured with other classification methods and performance metrics and even applied to other decision-making problems such as clustering.

This study sheds new light on the comprehensive comparison and evaluation of classification results through visualization, clustering and ranking techniques using an empirical study of consequence prediction of construction accidents. The relevance of construction accident type is discussed with the severity of accidents. The critical factors influencing the accident consequence are identified for the sake of taking prevention measures for risk reduction. The proposed method can be applied to other decision-making tasks where the evaluation is involved as an important component.

The purpose of this paper is to present a holistic approach regarding evaluation of knowledge management (KM) practices on organizational performance. The effects of seven critical success factors (CSFs), namely leadership role, organizational culture, KM strategy, processes and activities, training and education, information technology, and motivation and rewarding system, on organizational performance in the framework of four perspectives of balance scored card (BSC) approach were surveyed.

The research hypotheses were raised based on the four perspectives of this approach, namely, growth and learning, internal processes, customer and financial. By literature review, CSFs of KM and organizational performance along with their items were identified in the framework of BSC’s perspectives. Based on these constructs and their items an instrument was designed and distributed among managers and employees of the subsidiary firms of Iran National Petrochemical Company (INPC). Reliability of the instrument was calculated by Chronbach’s α for the two sections of the instrument i.e. KM practices and organizational performance. Also, using factor analysis the construct validity of the questionnaire was approved. Finally, based on the hypotheses of the study and using structural equation modeling the impacts of KM practices on organizational performance were investigated.

The results revealed that KM practices positively and meaningfully (though weak) impact overall organizational performance. This impact is significant only regarding growth and learning dimension and on the other dimensions is insignificant. Also, as customer and financial constructs were loaded on one factor based on the entity of their indicators we considered these two constructs as stakeholders construct. In addition, among the above mentioned seven CSFs, motivation and rewarding system obtained the lowest rank among the survey organizations.

The sample is restricted to only three companies, so gathering data from various parts of Iran including both manufacturing and service industries could increase the generalizability of the results obtained. Also, as in this study the data gathered were cross-sectional, a longitudinal study could help gain deeper understanding of the cause-and-effect relationship among the variables.

The most significant gap in the literature is the lack of enough application of statistical and comprehensive methods like BSC that KM makes a difference to organizational performance. This study contributes to the field of KM by empirically investigating the impact of KM practices on various measures of organizational performance in order to prove the suitability of a comprehensive approach like BSC.

Effective performance management (PM) in public–private partnership (PPP) projects is critical to realizing value for money (VFM). This study aims to provide an in-depth understanding of problems existing in PPP PM and possible avenues for improvement, presenting an experimental system to verify that building information modeling (BIM) and other information communication technologies can improve PPP PM.

The mixed research method adopted in this study combined empirical research with experimental research. Semistructured interviews were used to ascertain the current situation of PPP PM with the help of Nvivo software. A BIM-based performance management system (BPMS), which combines BIM with Web and Cloud technology, was then constructed to achieve performance monitoring, performance measurement, and performance-based payment. Finally, a case study was introduced to explain the function application of the proposed system.

The case demonstration verified is found to verify that the developed BIM-based execution framework for PPP PM can effectively guide stakeholders toward achieving mixed PM, promote effective PM, and improve work efficiency with the support of BIM and other information and communication technologies.

Through the development of a BPMS for PPP projects, the effectiveness and efficiency of PM are improved. Practical PM applications are also provided to different stakeholders, through which the key performance indicators and the behaviors of the government and private-sector partners can be monitored to form a more comprehensive and reasonable PM mechanism and promote the realization of VFM in PPP projects.