Performance Measurement Model Research Articles

Evaluating Supply Chain Performance through Financial Metrics: A Study in a Manufacturing Industry

This empirical study is based on primary data emphasizing the importance of evaluating supply chain performance through financial metrics, each activity within the supply chain directly impacts both the top line and bottom line of a business. In today's challenging business environment, organizations must prioritize monitoring their financial performance to ensure enduring resilience. The economy of Bangladesh has encountered turbulence due to disruptions such as the aftermath of the COVID-19 pandemic and the ongoing global political unrest. These occurrences have significantly impacted the business landscape, resulting in uncertainties in both demand and supply, shifts in consumer purchasing patterns, and notable increases in the prices of essential commodities and raw materials, therefore, the overall cost of business has risen. This study investigates the consequences of various disruptions, both internal and external, on the economy, adversely affecting organizations. The ability of an organization to withstand such challenges depends on maintaining robust financial and operational performance. Given the persistent global upheaval, there is a compelling need for an innovative approach to enhance supply chain optimizations, overall operational efficiency, and meticulous budget control and variance analysis aligned with financial planning. This is crucial at a substantial level to ensure positive entries in the profit and loss account and maintain a healthy cash flow statement. This study is done based on twenty-four (24) manufacturing sectors of Bangladesh. To address these challenges, the study advocates an Integrated Supply Chain Performance Measurement (ISCPM) model. This model contributes to academia through a novel approach, demonstrating its effectiveness by employing ten attributes to evaluate supply chain performance, with a specific focus on the financial performance termed Financial Health (FH), an attribute to measure supply chain performance in an organization. The study further elaborates Financial Health attributes into five key Performance Measurement Index (PMI) which are Economic Performance, Cost, Budget Variance, Inventory, and Planning Variance —within the context of manufacturing operations, providing insights into various facets of their impact. The study significantly contributes to the industry for practitioners by bringing synergy into the framework and performance measurement attributes, ultimately adding value to the manufacturing industry.

Is Takāful industry fulfilling Maqāṣid al-Shar ī’ ah? The proposition of a new evaluation model using analytic hierarchy process

Purpose The Takāful (Islamic insurance) industry operates on the principles of Maqāṣid al-Sharī’ah, and of late, the industry has witnessed significant market growth. The purpose of this study is to develop a performance measurement model based on Maqāṣid al-Sharī’ah to evaluate the performance of Takāful firms. Design/methodology/approach A mixed-method research approach was adopted to conduct the present study. Priorities were assigned to various dimensions of the Maqāṣid model using analytic hierarchy process and by taking inputs from 18 Takāful experts. On the contrary, six experts were involved in identifying the elements and measures for the operationalization of the Maqāṣid dimensions. Findings Maṣlaḥa (0.359) was found to possess the highest priority, followed by Justice (0.345) and Educating Individuals (0.295). Furthermore, under Necessity, protection of religion (0.398) and protection of life (0.388) are assigned almost similar priorities. These two are followed by the protection of progeny (0.107), protection of wealth (0.058) and protection of intellect (0.047). The final outcome of this study is a hierarchical model for the evaluation of performance of Takāful firms. Practical implications The application of the performance evaluation model will provide information to the management of Takāful firms on where they stand in terms of fulfilling Maqāṣid al-Sharī’ah principles. If any firms are found to have a deficiency in a certain part of Maqāṣid components, then proper and adequate measures can be taken to ameliorate the situation. Originality/value It is necessary to have a performance evaluation model based upon Maqāṣid al-Sharī’ah to evaluate the performance of Takāful firms as these firms operate on the principles of Maqāṣid al-Sharī’ah. Because there does not exist any such model, this study fills up this gap. Details of the measures that can be used to evaluate the performance of Takāful firms are also provided.

Using DEMATEL, clustering, and fuzzy logic for supply chain evaluation of electric vehicles: A SCOR model

<abstract> <p>The transportation sector is considered among the major sources of greenhouse gas emissions. Given advancements in transportation technology, customers' willingness to reduce carbon footprints, as well as policy incentives, Electric Vehicles (EVs) are becoming an increasingly important part of the passenger vehicle industry. Evaluation of Supply Chain (SC) performance in the EV industry seems to contribute significantly to the enhancement of the operational consequences across the supply chain tiers. The SCOR (Supply Chain Operations Reference) model was designed to help businesses optimize their supply chain operations, reduce costs, and improve customer satisfaction. Although many performance measurement models have been developed in the context of SC, there is no performance measurement model in relation to the EV supply chain based on indicators of customer perceived value (Reliability, Responsiveness and Agility) in the SCOR model. Therefore, we aimed to develop a new method to evaluate the performance of the EV supply chain using a set of critical SC performance evaluation indicators. Multi-criteria decision-making along with machine learning was used in order to develop a new method for evaluating SC performance. We used k-means clustering and fuzzy logic approaches in the development of the new method. An assessment of indicators' importance level was performed using the fuzzy logic approach. The results of the method evaluation show that the proposed method is capable of predicting the performance of the EV supply chain accurately. According to the results, by optimizing their supply chain, companies can improve their ability to deliver products and services that meet or exceed customer expectations, resulting in higher customer perceived value and customer satisfaction.</p> </abstract>

Analysis of Financial Performance Measurement Models for Zakat Institutions

This research aims to identify and analyze the financial performance measurement model of zakat institutions. This research uses qualitative methods, a literature study approach, and descriptive analysis. The data source comes from Google Scholar. Literature data was obtained by searching for keywords on Google and the publish or perist application. The research results show that there are five performance measurement models in Zakat financial institutions consisting of Data Envelopment Analysis (DEA), Zakat Management Organization Ratio (OPZ), Indonesian Magnificence of Zakat (IMZ), International Standard of Zakat Management (ISZM), and Balance Scorecard. The research results also found that each measurement model has its characteristics with different measurement methods. Zakat supervisory authority institutions and researchers can use five performance measurement models in Zakat financial institutions.

Supply Chain Performance Measurement Model at PT. Metito Indonesia Based On Business Intelligence Power BI

Supply chain is one of the important aspects in a company. An effective supply chain can help companies to increase efficiency, effectiveness, and profitability. The purpose of this research is to develop a supply chain performance measurement model at PT Metito Indonesia based on Power BI Business Intelligence. This research is a type of qualitative research that uses a descriptive approach. The data collection technique in this research was carried out by observation and literature study. This research was conducted at PT Metito Indonesia which is located at Jl. Ampera Raya No. 18A, East Cilandak, Kemang, South Jakarta. Data validity tests in this study include tests, credibility, transferability, dependability, and confirmability. The research results show that measuring supply chain performance at PT Metito Indonesia can increase its competitiveness by adopting strategies that are more adaptive and responsive to market changes. Using BI Power BI helps companies to be more proactive in making strategic decisions that have a direct impact on increasing competitiveness in the market, increasing operational efficiency, and strengthening the company's position in a competitive industry. 

A fuzzy model for financial performance measurement of real estate investment trusts: comparison of investment areas

PurposeThis study aims to present the financial performance of companies and investment areas in the real estate investment trust (REIT) industry.Design/methodology/approachA fuzzy model for financial performance measurement (FM-FPM) was proposed through the collaboration of fuzzy axiomatic design (FAD) and fuzzy entropy weighting (FEW). For the data, financial ratios were used, and their importance and functional requirements were collected via a questionnaire survey.FindingsThe FM-FPM is a beneficial model to be used for a REIT industry based on the structured procedures of FAD and FEW techniques. It can be suitable to regularly evaluate the performance of REITs and their investment areas in financial means, especially in today’s turbulent business environment. The Turkish market that was considered to show the practical applicability of the FM-FPM demonstrated specifically that diversified real estate was found to rank first, followed by mixed-buildings, warehouses, shopping malls and hotels, respectively.Research limitations/implicationsThe FM-FPM can be employed for REIT industries in other countries and adapted to different industries. However, more respondents or a different set of criteria might lead to different outputs.Practical implicationsThe FM-FPM may guide REIT managers and investors while making their decisions and controlling the performance of REITs and investment areas.Social implicationsThe FM-FPM may encourage low- and middle-income investors to make good use of their savings.Originality/valueThe research is first (1) to offer a FPM model in order to determine investable areas in a REIT industry and (2) to employ multiple criteria decision-making tools in order to measure the financial performance of individual companies and investment areas in a REIT industry.

Development of a financial performance measurement model for real estate business: an exploratory study in India

Purpose The purpose of this study is to develop a financial performance measurement model for real estate business. Design/methodology/approach The study uses balanced scorecard (BSC) proposed by Kaplan and Norton (1996) as a theoretical support. The study, being exploratory in nature, uses survey method to collect data on several dimensions of BSC as well as on other performance measures used by real estate businesses in India. The survey data collected is analyzed using exploratory factor analysis (EFA) to explore the model constructs. This is followed by building an integrated conceptual model for measuring the financial performance of a real estate business. The model is tested using partial least squares structural equation modeling (PLS-SEM). Findings The study finds that the financial performance of the real estate business revolves around customer satisfaction, employee satisfaction and external networks. The right alignment of these components lead to superior financial performance. It also provides a competitive advantage to the real estate business. These three components (customer satisfaction, employee satisfaction and external networks) have direct and indirect influences on the financial performance of real estate business. Research limitations/implications A small sample size (78 respondents), as well as the respondent’s geographical concentration in India, are the limitations of the study. Hence, generalization of findings may be difficult until the findings are validated across the globe. Practical implications The conceptual performance measurement model suggested in this research provides an effective tool to plan and strategize to achieve superior financial performance, particularly for stakeholders in the real estate business. Originality/value To the best of the authors’ knowledge and belief, this is the first attempt to develop a comprehensive financial performance measurement model for real estate business and test it using EFA and PLS-SEM.

An Exploration of Prediction Performance Based on Projection Pursuit Regression in Conjunction with Data Envelopment Analysis: A Comparison with Artificial Neural Networks and Support Vector Regression

Data envelopment analysis (DEA) is a leading approach in performance analysis and discovering newer benchmarks, and the traditional DEA models cannot forecast the future efficiency of decision-making units (DMUs). Machine learning, such as the artificial neural networks (ANNs), support vector machine/regression (SVM/SVR), projection pursuit regression (PPR), etc., have been viewed as beneficial for managers in predicting system behaviors. PPR is especially suitable for small and non-normal distribution samples, the usual cases in DEA analysis. This paper integrates DEA and PPR to cover the shortcomings we faced while using DEA and DEA-BPNN, DEA-SVR, etc. This study explores the advantages of combining these complementary methods into an integrated performance measurement and prediction model. Firstly, the DEA approach is used to evaluate and rank the efficiency of DMUs. Secondly, we establish two DEA-PPR combined models to describe the DEA efficiency scores (also called the production function) and the DEA-efficient frontier function. The first combined model’s input variables are input–output indicators in the DEA model, and the output variable is the DEA efficiency. In the second model, its input variables are input or output indicators in the DEA model, and the output variable is the optimal input indicator for input-oriented DEA or the output indicator for output-oriented DEA. We conducted positive research on two examples with actual data and virtual small, medium-sized, and large samples. Compared with the DEA-BPNN and DEA-SVR models, the results show that the DEA-PPR combined model has more vital global optimization ability, better convergence, higher accuracy, and a simple topology. The DEA-PPR model can obtain robust results for both small and large cases. The DEA-BPNN and DEA-SVR models cannot obtain robust results for small and medium-sized samples due to overfitting. For large samples, the DEA-PPR model outperforms DEA-BPNN, DEA-SVR, etc. The DEA-PPR combined model possesses better suitability, applicability, and reliability than the DEA-BPNN model, the DEA-SVR model, etc.

Financial Performance On Firm Value Mediated By Islamic Performance At Islamic Commercial Banks In Indonesia

This research aims to prove the influence of financial performance on company value, which is mediated by Islamic performance. The method used is panel data regression and path analysis using secondary data from Islamic commercial bank's (ICBs) annual reports in Indonesia. The population in this research is ICBs in Indonesia registered with the Financial Services Authority (FSA) in 2017-2021, totaling 14 ICBs. The sampling technique uses purposive sampling to obtain a sample of 10 ICBs. The research results prove that return on assets (ROA) and capital adequacy ratio (CAR) partially have a positive effect on the sharia maqashid index (SMI). Operational cost operational income (OCOI) partially does not affect SMI and firm value. CAR and SMI partially have a positive effect on firm value. ROA partially does not affect firm value. SMI can mediate the influence of ROA and CAR on firm value, but SMI cannot mediate the influence of OCOI on firm value. This research can complement existing theories and be a reference for Islamic banking in improving the implementation of SMI indicators and for the government in designing Islamic banking performance measurement models integrated with SMI indicators.

A hierarchical component model for sustainable performance measurement of maintenance practices: A fourth-order PLS-SEM approach

Despite the growing recognition of the significant role played by effective maintenance practices in pursuing sustainability goals, a rigorous and validated method to assess and monitor its activities’ impacts on the triple-bottom-line is still lacking. To address this gap, this paper proposes a fourth-order Hierarchical Component Model (HCM) for sustainable performance measurement of maintenance practices based on PLS-SEM approach. To validate the model, Oil & Gas industry is surveyed, where a total of 207 responses are obtained from maintenance experts in the Gulf region. The results of the study support the indicators’ reliability as well as the first-order constructs’ internal consistency, convergent validity and discriminant validity. An embedded multistage approach for the higher-order constructs measurement models evaluation reveals that they exhibit satisfactory levels of quality. The structural model evaluation supports the significance of the hypothesized paths, a strong degree of predictive relevance, and the hypothesized mediation relationships proved significant. Finally, the total effect analysis demonstrates that “Energy Use” has the highest effect among first-order variables followed by “Material use”, ‘Costs & Returns”, “Emission & Pollution”, and “Effluents & Waste”. Furthermore, “Energy Use” related indicators have the highest weights among all indicators. This study provides empirical evidence on the causal background of the proposed model’s implicated elements on sustainable performance of maintenance. The findings offer guidance to practitioners in this area and useful insights to decision-makers, as it enables them to determine the inherent impacts of the model components on the overall performance and allocate resources efficiently to increase the maintenance sustainability level.

A comprehensive performance measurement model for maritime Logistics: Sustainability and policy approach

Maritime logistics is the glue that links the fragmented production model of the global value chain and carries paramount importance for accelerating the international trade of a country. However, there is no specific set of indicators for measuring the maritime logistics performance (MLP) as the popular indexes such as the Logistics Performance Index (LPI) or the Liner Shipping Connectivity Index (LSCI) are either too broad to capture the specific performance of maritime logistics, or too narrow to incorporate all the functional areas of MLP. This article addresses this gap and proposes a comprehensive performance measurement model for maritime logistics. The study attributes extensive literature review and experts’ opinions for developing the initial list of indicators. For extracting and validating the principal factors, the study adopts exploratory factor analysis (EFA) and has found nineteen indicators of the MLP. Based on the Eigenvalues, the indicators have been clustered under four principal factors namely- Port Performance, Shipping Connectivity, Hinterland Logistics, and Sustainability and Resilience. The model will be particularly helpful in understanding the functional areas, key performance indicators, and respective measurement scales of maritime logistics. Thus, it helps the policymakers to understand, evaluate, and accelerate the MLP of a country with appropriate policy mechanisms

Warehouse Operations in Bangladesh – Challenges and It’s Future Prospects

This study investigates the challenges and opportunities surrounding warehouse operations in Bangladesh, encompassing both the manufacturing and service sectors. This paper demonstrates above mentioned scenario in the context of supply chain management (SCM). Despite enduring a series of disruptions, including the pandemic and geopolitical tensions, notably the situation between Ukraine and Russia, the Bangladeshi economy has displayed remarkable resilience. In the fiscal year 2019-20, there was a significant decline in GDP growth, dropping from 7.88 percent in the pre-pandemic year to 3.45 percent. However, there was a notable resurgence in GDP growth, surging to 6.94 percent in FY 2020-21 and further rising to 7.10 percent in FY 2021-22. Unfortunately, the economic growth for FY 2022-23 has been impeded by the Russia-Ukraine crisis. The Gross Domestic Product (GDP) of an economy is a composite of contributions from three key sectors: agriculture, industry, and services. As the economic landscape evolves, the significance of the agriculture sector diminishes, while the industrial sector gains prominence. This research is developed based on primary and secondary data sources, encompassing online databases, journals, review papers, and more. The primary data collection includes a comprehensive survey questionnaire completed by 207 respondents from 24 industrial sectors in Bangladesh. The study addresses multiple challenges faced by warehouse operations and offers recommendations for best practices and a strategic way forward in the global arena for Bangladesh, where priorities such as achieving net-zero emissions, sustainability, and the adoption of lean warehouse operations are paramount. Furthermore, the study advocates for the implementation of the Integrated Supply Chain Performance Measurement (ISCPM) model, along with its ten attributes, as an integral component of adopting global best practices for practitioners, which would unlock further research to develop this sector.

Structural equation modelling of project performance based on strategic and servant leadership

The structural equation modelling has contributed significant advantages in understanding projects success, although comparably, it has incremented the complexity of the analysis; thus, this research aims to propose a measurement model of projects performance considering the impact that generates strategic and servant leadership. It was conducted an extensive literature review where four observable variables were documented regarding strategic leadership, four variables for servant leadership, and four variables that measure projects performance. Initial results allowed determining a model that will permit to measure the impact of the documented leaderships in projects performance. This research contributes to increment the scarce existing knowledge in the project management field, and to provide the organizations with a tool to sustain solid strategies, aiming to positively manage their decisions on team development towards to improve projects performance, and thus, its success.

Pengaruh Penerapan Balanced Scorecard terhadap Kinerja Manajemen di BPRS PNM Mentari Garut

This research is motivated by the weakness of the company's performance measurement system that focuses on financial aspects and ignores non-financial performance, so a performance measurement model is made using the balanced scorecard. This study aims to determine how the effect of the balanced scorecard on management performance in BPRS PNM Mentari Garut. The object of this research is to measure management performance. This type of research is quantitative associative. Data collection techniques in the form of observation, interviews, literature study and questionnaires. While the population is all employees, amounting to 42 people. The results showed that there was no influence of the financial perspective on management performance with the results of the t-test value tcount < ttable (1,933 < 2,021), there was a significant influence between the customer perspective on management performance and the results of the t test value tcount > ttable (3.182 > 2.021), there is a significant effect between the internal business process perspective on management performance with the results of the t-test value tcount > ttable (3,800 > 2,021), there is a significant influence between the learning and growth perspective on management performance with the t test results tcount > ttable (4,474 > 2,021), Simultaneously the Balanced Scorecard has a significant effect on management performance, it can be seen in the F test that the value of Fcount > Ftable (5.835 > 2.63).

نموذج محاسبي مقترح لقياس وتقييم الأداء المستدام للشركات القائمة على الإنتاج الرشيق (الخالي من الهدر)

This study aims to provide a real justification for the use of a measurement and evaluation model for the sustainable performance of lean production. This study confirms the main justification for using and applying this model in organizations. It is considered an integrated and comprehensive system for measuring and evaluating sustainable performance. This study also illustrates the role of the model in linking the general strategy to the organization's operational strategy. There are three basic steps to follow in building a model for achieving sustainable development: implementing a sustainable performance model; Building and applying the proposed model; and determining the target outputs of the proposed model. This study concluded that the most important basic factors for building and implementing the proposed model are related to organizational culture and managing relationships with various parties, such as senior management, shareholders, customers, workers, suppliers, legislators, and society. Due to the many impacts on sustainability during the product life cycle, organizations are only concerned with the production phase. Therefore, lessons can be learned from other industrial environments by dividing organizations into numerous administrative processes and units. From a practical standpoint, the study tested the validity of the model for economic, environmental, and social performance to obtain an indicator that demonstrates sustainable performance and the achievement of the sustainable development strategy.

Model of Performance Measurement and Management System in “The Visegrad Group”

This article summarizes the model of the performance measurement and management systems in Industry 4.0. in the Visegrad Group (V4) countries. The main goal of the research is to suggest a Performance model and management system model (PMMS). Methods of research were focused on using the questionnaires method with the Dillman method and five research questions (RQ1-RQ5). The object of research comprised of 60 industrial V4 companies with the direction of law form, count of the employee, revenues, and type of industry. The return of the questionnaire was 49 respondents of 60 respondents - companies. 42 companies monitor financial performance and 40 companies’ employee performance. Information sources for measuring performance are information systems that are use 39 companies and 39 companies use financial statements. 19 companies use less than 10 KPIs, and 28 companies monitor KPIs throughout the year. The new model of performance measurement and management system in Industry 4.0 is a competitive advantage in the global market and in the hyper-competitiveness environment.

Identifikasi Faktor-Faktor Iklim Keselamatan Kerja terhadap Kinerja Keselamatan Kerja pada Proyek Konstruksi Di Provinsi Jambi

Even though the construction sector provides business opportunities for workers, this sector also contributes 30% -40% of accidents and fatalities. For this reason, it is necessary to identify the factors of the work safety climate and their influence on work safety performance. This study aims to identify and measure the work safety factors and safety performance and which dominantly improves safety performance. The third aim to evaluate the relationship model between work safety climate and work safety performance. This research adopts 45 safety climate variables Zahoor, 2017 and uses 275 construction workers in Jambi Province. The data collection techniques with primary (informants) and secondary data (K3 documents and literature studies) utilize observation, direct interviews, and questionnaires. The results study found that the first three factors form the work safety factor (FIK1, FIK 2, FIK3). For named FIK1 to become Management Commitment and OSH resources, Procedures and Awareness of FIK2, FIK3 is named Perception of Accidents. In the second stage, the research found only factor 3 or IK3, namely the Perception of Accidents that affected safety performance. In the third stage, the study found that the safety performance measurement model only had the third factor, namely the Perception of Accidents, which could be used in a structural equation model that affected safety performance. Hopefully that understanding and knowing the observed variables from CI can help the project management team design the right strategy to create a safe project environment.

A novel robustness PROMETHEE method by learning interactive criteria and historical information for blockchain technology-enhanced supplier selection

In a complex transaction and operation environment, supply chain usually faces the disruption risk, especially the supplier selection. Fortunately, the blockchain technology not only can provide traceability and decentration for supply chain management, but also can increase supply chain resilience. With the aid of blockchain technology, this paper deeply proposes a two-stage performance measure model to assess suppliers reinforcing supply chain resilience. Firstly, we screen out the assessment criteria of supply chain and blockchain by using complex network. Subsequently, for depicting the hesitation of multiple experts, we formulate the generation mechanism of linguistic distribution. Besides, in the blockchain technology-enabled supply chain, the criteria of supply chain and blockchain are interactive. Therefore, considering the interactive criterion, we combine the PROMETHEE method with the internal interactive index to measure supplier performance in the first stage. Meanwhile, the robustness PROMETHEE method is further improved by designing three types of aggregation models. In the second stage, we also concern the supply chain situation before adopting blockchain technology. In this case, this paper further designs a correction method of supplier performance measure based on supplier historical information in order to select the reliable supplier. Finally, we verify the effectiveness and rationality of our proposed method. In general, this study enriches the evaluation criteria of supplier performance measure by considering the influence of blockchain technology and provides the correspond decision support for blockchain technology-enabled supply chain management.

Endüstriyel Katı Atık Geri Dönüşümünün Sürdürülebilir Tedarik Zinciri Performansı Üzerindeki Etkilerinin Analizi için Bir Sistem Dinamiği Çerçevesi

In this study, it’s aimed to propose a performance measurement model that will reveal the effects of recycling industrial solid waste on sustainable supply chain performance. Furthermore, it’s aimed to evaluate the effects of plastic, glass, steel and aluminum recycling on economic and environmental sustainability performance with the proposed model. It’s expected that the scope of this model and the determination of the recycling results of different industrial wastes with the same indicators will contribute to the literature. After running the model for two-year period, the contribution of recycled plastics to sustainability performance will reach 39%, glasses 31%, steels 44% and aluminums 47%. The largest contribution rate of recycling in terms of energy consumption is in aluminums. In terms of cost and profitability criteria including opportunity cost, the highest contribution rate is in steels.

Reconstruction of SCM Performance Measurement Model for Halal Industry

One pattern of Islamic business that is growing rapidly in both Muslim and non-Muslim majority countries is the halal industry. [1] emphasized that in its development, the halal industry has an important issue that needs to be addressed immediately, namely the need for performance measurement tools. So far, there is no instrument as a tool to measure performance that is able to comprehensively assess all Supply Chain Management (SCM) in the halal industry. SCM of the halal industry is motivated by the industry’s desire to meet the demands of Muslim consumers who want to ensure that what is consumed is guaranteed halal, not only from the status of the ingredients but all aspects involved in the business process [7]. Therefore, the halal industry due to ideological differences requires a performance paradigm shift in the form of a performance measurement tool that is not limited to profit achievement but compliance with Islamic values [2]. The halal industry is said to perform well when SCM is focused on a “holiness” approach through maslahah (welfare) [19].Therefore, through a qualitative approach, this study seeks to develop indicators to measure the performance of Halal Supply Chain Management specifically for the halal industry. The results of the study found that the performance measurement model for HSCM consists of quantitative and qualitative indicators. Aspects of obedience to Islamic principles to achieve halal integrity are not always able to be measured with quantitative techniques, therefore it is necessary to reconstruct qualitative indicators. Further research can be done by implementing the HSCM performance measurement model specifically for the halal industry.
 Keywords: Halal Industri, Halal Supply Chain Management, Indicator Perfomance