Performance Measurement Model Research Articles

Conceptualising Circular economy performance with non-traditional valuation methods: Lessons for a post-Pandemic recovery

ABSTRACT The circular economy (CE) has gained importance in the post-COVID-19 pandemic recovery. Businesses, while realising the CE benefits, have challenges in justifying and evaluating the CE benefits using available performance measurement tools, specifically when considering sustainability and other non-traditional benefits. Given the rising institutional pressures for environmental and social sustainability, we argue that organisations can evaluate their CE implementation performance using non-market-based environmental goods valuation methods. Further, the effectiveness of the CE performance measurement model can be enhanced to support supply chain sustainability and resilience through an ecosystem of multi-stakeholder digital technologies that include a range of emerging technologies such as blockchain technology, the internet-of-things (IoT), artificial intelligence, remote sensing, and tracking technologies. Accordingly, a CE performance measurement model (CEPMM) is conceptualised and exemplified using seven COVID-19 disruption scenarios to provide insights that can be addressed through CE practices. Analyses and implications are presented along with areas for future research.

Measuring sustainability performance using an integrated model

This study presents a sustainability performance measurement model integrating the Balanced Scorecard (BSC) perspective and the Fuzzy multiple-criteria decision-making (FMCDM) approach. First, this study proposes a list of twenty-one indexes of sustainability, based on four BSC-based dimensions, in line with triple bottom line sustainability dimensions, derived from the literature and experts’ inputs. Then, the relative weight of each sustainability index was evaluated using the Fuzzy Analytic Hierarchy Process (FAHP). To demonstrate the proposed approach, we practically measure the sustainability performance using three MCDM methods — Simple Additive Weighting (SAW), fuzzy Technique for Order Preference by Similarity to Ideal Situation (TOPSIS), and fuzzy Multi-Criteria Optimization and Compromise Solution (VIKOR). Finally, strategies for improving sustainability performance for a real-word case are suggested. The proposed measurement model can be an appropriate tool for industrial managers seeking to evaluate the efficacy of their sustainability strategies.

A performance measurement model for the housekeeping services in healthcare facilities

PurposeThe purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities.Design/methodology/approachAn exploratory sequential mixed approach was adopted in the study to collect and analyse data. A case study strategy was adopted in the initial phase to explore the current HK practices, and to determine the applicable key performance indicators (KPIs) found through literature. Semi-structured interviews were used as the data collection method in the selected case studies. A questionnaire survey was conducted in the next phase to verify the validity of case study findings. Quantitative data were analysed using descriptive statistics. One sample t-test was used to identify significant KPIs and to formulate the customised performance measurement (PM) model.FindingsThe study identified and ranked 46 KPIs, which can be used to measure the performance of HK divisions of health-care facilities, in balanced scorecard perspectives. The findings also revealed that the KPIs determined using the model have a significant impact on implementing effective health-care HK services and could be used to measure both real and subjective cleanliness.Practical implicationsThe developed model can be used for numerous PM requirements in health-care setups in both developing and developed countries. The KPIs determined using this model can be presented in quality audits and government inspections as proof of effective HK management. The HK managers of the health-care sector can effectively monitor the performance of their divisions using the proposed PM model and this model can be customised to match the other facilities management service divisions.Originality/valueMany studies focus on overall health-care PM. This study expands the knowledge on HK PM in the health-care sector by presenting a collection of performance indicators centred on HK function.

Rethinking performance measurement models using a fuzzy logic system approach: a performative exploration on ownership in waste management

Literature on performance measurement in waste management service, usually considers assessment tools and methods that focus only on a specific dimension of performance and lacks methods and models that simultaneously consider more dimensions. In this study, adopting the fuzzy logic expert system, we propose a performance measurement model that simultaneously considers three performance dimensions: profitability, financial characteristics and efficiency. To show its empirical implementation, a quantitative analysis was developed regarding the service provided in the 106 Italian provincial capitals that have different owner structures (private, public and mixed). As output, the fuzzy logic system approach adopted generated a rating for the assessment of the performance of the entities, and then a ranking of the cities based on the same. The main results show that: 1) the public owned companies that provide the waste management service have an overall better performance than those with private or mixed ownerships; 2) cities that entrust the waste management service to the same company do not occupy an adjacent position in the ranking.As practical implications, the proposed model can help public administrators: a) to control the outcomes of their entities (as the TARI); b) to make a decision whether to provide solid waste management services directly or through a private entity chosen to provide the service in return for a negotiated fee; c) to compare waste management services provided in different cities in an objective way and to monitor their performance over time, with the aim of achieving continuous improvement. The model's outcomes are useful to assist public managers and politicians in assessing the compliance level of performance goals related to the solid waste service; while the overall performance index is a useful tool to assist the decision-making process leading to change either fully or partially, their nature from public to mixed or private. The proposed method is able to formalize and automate the decision-making process concerning the evaluation of the performance of waste management, reducing the distortions of the political and environmental context.

DAWM: Cost-Aware Asset Claim Analysis Approach on Big Data Analytic Computation Model for Cloud Data Centre

The heterogeneous resource-required application tasks increase the cloud service provider (CSP) energy cost and revenue by providing demand resources. Enhancing CSP profit and preserving energy cost is a challenging task. Most of the existing approaches consider task deadline violation rate rather than performance cost and server size ratio during profit estimation, which impacts CSP revenue and causes high service cost. To address this issue, we develop two algorithms for profit maximization and adequate service reliability. First, a belief propagation-influenced cost-aware asset scheduling approach is derived based on the data analytic weight measurement (DAWM) model for effective performance and server size optimization. Second, the multiobjective heuristic user service demand (MHUSD) approach is formulated based on the CPS profit estimation model and the user service demand (USD) model with dynamic acyclic graph (DAG) phenomena for adequate service reliability. The DAWM model classifies prominent servers to preserve the server resource usage and cost during an effective resource slicing process by considering each machine execution factor (remaining energy, energy and service cost, workload execution rate, service deadline violation rate, cloud server configuration (CSC), service requirement rate, and service level agreement violation (SLAV) penalty rate). The MHUSD algorithm measures the user demand service rate and cost based on the USD and CSP profit estimation models by considering service demand weight, tenant cost, and energy cost. The simulation results show that the proposed system has accomplished the average revenue gain of 35%, cost of 51%, and profit of 39% than the state-of-the-art approaches.

Reviews and Propose Model for the System Dynamics in Contemporary Tendencies of Third-Party Logistics towards Business Performance in Malaysia and Thailand

The present Third Party Logistics (3PL) service providers in Malaysia and Thailand are expending their effectiveness and efficiency in several spheres from contemporary logistics services offers towards the series of value-added services to their customers. There is a need to forecast their key performance indicators growth using a systematic approach in resource management, as their quality indicators. Hence, this paper discovers on the current propensities of 3PLs service providers in respect of issues connected with their performance, resources and quality to establish on the 3PLs indicators of resources, quality and processes. It is also sought to develop a model of systematic dynamics for internal resources and company processes optimization based on the best practices. The methodology of the research is based on literature reviews which focusing on the performance measurement, quality and resources of 3PL. Using a System Dynamics, a model of optimization and management of 3PL, the internal processes and resources were developed. This model comprises of Nine (9) segmentations, which are operations, commercial activities, administration, personnel management, procurement, quality management, Resources, Performance Measurement and Financial models. The model is indicating all areas of activities of 3PL service providers. This study proposes a new model for Third-party Logistics (3PL) performance indicators for future guidelines in related industry.

Developing Performance Measurement Model of Mosques

The main objective of this research is to find the performance measurement model of mosques in Ngaliyan District. The performance measurement model is adopted from the performance measurement model for organizations profit. This study uses mosque resources, management processes, and mosque performance as research variables. Mosque resources are grouped into mosque management resources (ta'mir), financial resources, and mosque facilities. Process management consists of stewardship management, financial management, and planning management. while the mosque's performance is shown through the implementation of religious activities and religious social services. The survey is limited to jami’ mosques in Ngaliyan District which are listed in SIMAS-Kemenag RI (Mosque Information System of Ministry of Religious Affairs of Republic of Indonesia) 2019. By purposive sampling, there are 36 valid samples for the analysis. Path analysis was applied to analyse the data. The results of this research using quantitative method showed that were significant influences between resource and mosque performance with management processes as the mediating variables. The findings from this study will be useful for mosque stakeholders such as mosque administrators, donors, congregations, and religious authorities who are directly affected by mosque performance.

Dry-docking performance measurement model – multi criteria non parametric approach

ABSTRACT The aim of this paper is to introduce a multi criteria performance measurement model for newbuilding dry-docking purposes as a managerial tool. The dry-docking is presented as a process with multiple inputs and outputs, containing various technical and cost data related to the dry-docking project. The data envelopment analysis models with constant and variable returns to scale were used in this research along with the efficiency decomposition method to determine possible sources of inefficiency on the data sets available. The seven criteria to be used for dry-docking performance measurement. Research results determined the best practice/efficient vessels which create the efficient frontier. Projections to the efficient frontier, efficiency decomposition and sources of inefficiency recognition with improvement propositions were provided for the inefficient vessels. Due to the performance assessment carried out, the results represent benchmarks for dry-docking performance and a guideline to future dry-docking improvements on data set researched.

Implementation of construction supply chain flow based on SCOR 12.0 performance standards

Supply Chain Operations Reference (SCOR) is a supply chain performance measurement model that has been widely used in the manufacturing industry with the latest model version 12.0. This article presents the adoption and development of a construction supply chain performance measurement framework in Indonesia based on SCOR 12.0. The supply chain supply for ready mix concrete and steel as a case study consists of contracts, on-site inspection, material usage, and payment. Simulations were carried out on Project X with precast concrete supplied by ready mix concrete and steel with three suppliers each. Performance indicators from SCOR are analyzed and simulated to be implemented in the supply chain flow. The result is a contract phase with overall value at riks (OVAR), on-site inspection with perfect order fulfillment (POF) and order fulfillment cycle time (OFCT), use of materials with upside supply chain adaptability (USCA) and downside supply chain adaptability (DSCA), payment with total supply chain management costs (TSCMC) and the cost of goods sold (COGS), and overall flow with cash-to-cash cycle time (CCT), return on supply chain fixed assets (RSCFA), return on working capital (ROWC).

Development of government employee performance measurement models: Using Analytical Network Process and Simple Additive Weighting methods

This paper describes how to measure the performance of government employees to society using different assessment methods and new services instruments, and providing opportunities for the community to assess the services provided to them. The Analytical Network Process (ANP) method is used to generate global weights obtained from the pairwise comparison matrix and supermatrix which will be used as preference weights. The final score of each employee is obtained from a questionnaire that has been filled in by respondents using the Simple Additive Weighting (SAW) method then the calculation will be combined with preference weights obtained from previous calculations. The results showed that the use of the ANP-SAW method resulted in good performance calculations with employee 5 getting the highest value at 0.9526, while employee 2 getting the lowest value at 0.7753. With the assessment carried out by the community and the use of appropriate decision making methods, leaders in government can easily assess the performance of their employees, not only from the achievement of work but also based on the assessment of the community.

Performance-Influencing Factors and Improvement Paths of Third-Party Governance Service Regarding Environmental Pollution—An Empirical Study of the SEM Based on Shanghai Data

By employing ecological economics involving performance-influencing factors and third-party governance services that have the aim of reducing environmental pollution, a theoretical framework which includes object, subject, process that measures the performance of such services is analyzed on the basis of the idea of sustainability science (2.0). The research hypotheses regarding the relationships among service performance, multi-stakeholder subjects’ satisfaction, and the effect of process management are put forward; then, a three-dimensional performance measurement model, which includes performance, stakeholders, and the process of providing third-party governance services for addressing environmental pollution, is constructed based on the pressure–state–response (PSR) driving force model. At the same time, based on empirical data of the Shanghai municipality, the structural equation model (SEM) is used to empirically test the nine proposed research hypotheses. The empirical test results show that, except for the research hypotheses in regard to regulating variables and controlling variables, all of the research hypotheses passed the test. It means the direct performance, single subjective satisfaction, process management effects are performance-influencing factors. However, the stakeholders’ cooperation satisfaction partially influences the performance of third-party governance services regarding environmental pollution. Finally, through theoretical and empirical research, this paper proposes countermeasures and suggestions for improving the performance of third-party governance services regarding environmental pollution in Shanghai focusing on two aspects: one is the market governance mechanism innovation, and the other is regulations and standards innovation.

Performance measurement in-fourth party reverse logistics

PurposeThis paper aims to develop a performance measurement (PM) system for fourth-party reverse logistics (RL). In this regard, it proposes simultaneous utilization of a procedural approach and hybrid use of existing performance frameworks.Design/methodology/approachThe paper first describes fundamentals of RL and PM approaches in literature to build a basis for further discussion. It then carries out a systematic review of the literature on PM in RL to highlight current trends and approaches in this regard. At last, it develops a PM system for fourth-party RL by exploring relevant performance frameworks and by defining a procedure in detail.FindingsThe paper identifies the ongoing interest in development PM in RL, and the gap and the need for the development of comprehensive PM system for fourth-party RL. It also identifies the best approach is to use existing performance frameworks in literature and a procedural approach together as they complement each other rather than contradicting.Research limitations/implicationsThe paper fills a gap in literature by developing a comprehensive PM framework for the fourth-party RL. The presented procedure is well suited to be used as part of strategic management process in any fourth-party RL organization. It forces users a top-down approach, from strategies to measures, so that a strong linkage is established in the process. When used together with the proposed PM framework, it guarantees a comprehensive and balanced PM system.Practical implicationsThe paper identifies the need for the development of a PM framework as well as a measurement system for the fourth-party RL in the literature. In this regard, it develops a PM framework first, and then a procedure on how to implement it. As a result, users can effectively use them as a part of strategic management process of their organizations.Social implicationsThe fourth-party RL is growing and very promising mode of RL for well-being of society, by offering a strong path to sustainable development in the midst of diminishing resources in the world. The existence of a well measurement system is crucial for the healthy operations and development of fourth-party RL organizations. The paper is offering a strong PM model in this regard.Originality/valueThe paper fulfills an identified need to study how to develop a PM system for fourth-party RL.

Balanced Scorecard as a Method of Assessing the Performance of a Hospital Management System

A B S T R A C TThe Balanced Scorecard educates management and organizations to view thecompany as a whole from four perspectives: finance, customers, internal businessprocesses, and learning and growth. The balanced scorecard consists of twowords, namely the scorecard and balanced. The scorecard is a card used to recorda person's / personnel's performance score and plan the score that will beachieved in the future. The results of the comparison between the plansestablished and the actual results that were successfully achieved were used tocarry out the evaluation.The balanced scorecard in this third generation producesthe most powerful performance measurement model because it shows theintegration of organizational management processes starting from the planningstage, namely by establishing a vision and mission which contains the agreementof individuals in achieving organizational goals, then translated intoorganizational strategies implemented through Organizational programs /activities in four interrelated balanced scorecard perspectives, then feedback willbe taken on various information obtained from the evaluation of theimplementation of the organization's programs / activities.

COMPOSITE FINANCIAL PERFORMANCE INDEX PREDICTION – A NEURAL NETWORKS APPROACH

Financial indicators are the most used variables in measuring the business performance of companies, signaling about the financial position, comprehensive income, and other significant reporting aspects. In a competitive environment, the performance measurement model allows performing comparative analysis in the same industry and between industries. This paper aims to design a composite financial index to determine the financial performance of listed companies, further used in predicting business performance through neural networks. Principal components analysis was used to build a composite financial index, employing four traditional accounting indicators and four value-based indicators for the period 2011–2018. Five experiments were conducted to predict business performance through the composite financial index. The results showed that observations from two years, of the first three experiments, indicate a better predictive behavior than the same experiments using observations from one year. Therefore, we concluded that observations from more than one year are necessary to predict the value of the financial performance index. Findings led us to the conclusion that recurrent neural networks model predicted better financial performance composite index when taken into consideration more real data for the financial performance index (2012–2018) instead of just for one year (2018).

Associations between hospital deaths (HSMR), readmission and length of stay (LOS): a longitudinal assessment of performance results and facility characteristics of teaching and large-sized hospitals in Canada between 2013–2014 and 2017–2018

ObjectivesTo examine the association between hospital deaths (hospital standardised mortality ratio, HSMR), readmission, length of stay (LOS) and eight hospital characteristics.DesignLongitudinal observational study.SettingA total of 119 teaching and large-sized hospitals...

Performance measurement model for ranking of educational institutes: a fuzzy reasoning approach

Ranking of educational institutes starts gaining a significant attention among all the stakeholders to know the comparative status of the institutes. This paper presents a comprehensive ranking framework based on fuzzy logic using multiple criteria proposed in National institutional ranking framework (NIRF). The proposed model presents a hierarchical structure of metrics proposed by NIRF to measure the performance attributes and then the overall performance of the institute. Mamdani fuzzy reasoning approach has been adopted to address the inexact causal relationship between the leading (input) and the lagging (output) metrics. Finally, the behaviour of the responses produced by the proposed model has been analyzed and also a comparative study has been conducted between National institutional ranking framework (NIRF) and rankings with proposed rankings system for various institutes.

Developing and validating the components of Maqasid al-Shari’ah-based performance measurement model for Islamic banks

PurposeThe purpose of this paper is to develop and subsequently validate a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks.Design/methodology/approachInitially, a comprehensive review of the existing and relevant literature is carried out and a prototype evaluation model has been developed. This has been augmented and refined through in-depth interviews of Shari’ah scholars and banking experts. Afterwards, the modified model has been validated by taking inputs from academics and Islamic banking practitioners through a focus group discussion.FindingsThe major outcome of the present work is a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks. At the inception of the work, the Maqasid frameworks of Imam al-Ghazali and Abu Zahrah were combined. The combined model incorporates various dimensions, elements and the corresponding measures of three components, namely, justice, education and maslahah.Research limitations/implicationsNot being able to test the model statistically or empirically can be considered as a limitation.Practical implicationsThe comprehensive theoretical framework of the developed model addresses all aspects of human well-being. Thus, if implemented the model will ensure welfare for all the stakeholders. It will also encourage the regulators to introduce new reporting standards which will be more reflective of Maqasid al-Shari’ah.Social implicationsFulfilling Maqasid will create a positive brand image for Islamic banks, which will attract more customers both Muslims and non-Muslims. Thus, this will create a wider scope for earning more revenues.Originality/valueThere has been concern that Islamic banks are converging towards conventional banking systems and the same performance measure instrument is being used to evaluate the performance of both Islamic and conventional banks. The present work has developed a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks.

A UFSM é uma universidade sustentável?

A Universidade Federal de Santa Maria - UFSM - tem por missão construir e difundir conhecimento de modo sustentável. Mas como saber se suas práticas são suficientes para que ela possa se dizer sustentável? O objetivo deste trabalho é avaliar o desempenho do campus da UFSM pelo GreenMetric: um modelo de medição do desempenho sustentável para universidades que divulga anualmente os resultados de seus usuários registrados na forma de um ranking. Os resultados por categoria, em escala de um a dez, foram: energia e mudanças climáticas 2,7; ensino e pesquisa 5,0; mobilidade 5,0; resíduos 7,5; espaço físico 5,5; água 2,0. A medida do desempenho resultou 4,8. Considerando o método de avaliações de conhecimento da universidade, cuja nota mínima é cinco, a medida de 4,8 é insuficiente para caracterizar a UFSM enquanto sustentável.Palavras-chave: sustentabilidade; Greenmetric; medição de desempenho.

CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection.

The novel coronavirus, also known as COVID-19, is a pandemic that has weighed heavily on the socio-economic affairs of the world. Research into the production of relevant vaccines is progressively being advanced with the development of the Pfizer and BioNTech, AstraZeneca, Moderna, Sputnik V, Janssen, Sinopharm, Valneva, Novavax and Sanofi Pasteur vaccines. There is, however, a need for a computational intelligence solution approach to mediate the process of facilitating quick detection of the disease. Different computational intelligence methods, which comprise natural language processing, knowledge engineering, and deep learning, have been proposed in the literature to tackle the spread of coronavirus disease. More so, the application of deep learning models have demonstrated an impressive performance compared to other methods. This paper aims to advance the application of deep learning and image pre-processing techniques to characterise and detect novel coronavirus infection. Furthermore, the study proposes a framework named CovFrameNet., which consist of a pipelined image pre-processing method and a deep learning model for feature extraction, classification, and performance measurement. The novelty of this study lies in the design of a CNN architecture that incorporates an enhanced image pre-processing mechanism. The National Institutes of Health (NIH) Chest X-Ray dataset and COVID-19 Radiography database were used to evaluate and validate the effectiveness of the proposed deep learning model. Results obtained revealed that the proposed model achieved an accuracy of 0.1, recall/precision of 0.85, F-measure of 0.9, and specificity of 1.0. Thus, the study's outcome showed that a CNN-based method with image pre-processing capability could be adopted for the pre-screening of suspected COVID-19 cases, and the confirmation of RT-PCR-based detected cases of COVID-19.

A proposal of performance measurement and management model for 5S sustainability in manufacturing SMEs: A Review

A proposal of performance measurement and management model for 5S sustainability in manufacturing SMEs: A Review