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This paper aims to investigate Supply Chain (SC) Performance Measurement Systems (PMSs) (SCPMSs) that are suitable and applicable to evaluate SC performance during unexpected events such as global pandemics. Furthermore, the contribution of Industry 4.0 Disruptive Technologies (IDTs) to implement SCPMSs during such Black Swan events is investigated in this study.

The research methodology is based upon a novel qualitative and quantitative mixed-method. A Systematic Literature Review (SLR) was initially employed to identify two complete lists of SCPMSs and IDTs. Then, a novel Interval-Valued Intuitionistic Hesitant-Fuzzy (IVIHF)-Delphi method was firstly developed in this paper to screen the extracted SCPMSs. Afterward, the Propriety, Economic, Acceptable, Resource, Legal (PEARL) indicator of the Hanlon method was innovatively applied to prioritize the identified IDTs for each finalized SCPMS.

Two high-score SCPMSs including the SC operations reference (SCOR) model and sustainable SCPMS were recommended to improve measuring the performance of the pharmaceutical SC of emerging economies such as Iran in which the societal, biological and economic issues were undeniable, particularly during unexpected events. Employing nine IDTs such as simulation, big data analytics, cloud technologies, etc., would facilitate implementing sustainable SCPMS from distinct perspectives.

This is one of the first papers to provide in-depth insights into determining the priority of contribution of IDTs in applying different SCPMSs during global pandemics. Proposing a novel multi-layer mixed-methodology involving SLR, IVIHF-Delphi, and the PEARL indicator of the Hanlon method is another originality offered by this paper.

The purpose of this paper is to provide a conceptual framework of the supply chain performance measurement system (SCPMS) lifecycle (highlighting key activities of the design, implementation, use and review phases) and to investigate how the different actors involved in the SCPMS perceive the system and can act to allow for an effective adoption.

The SCPMS lifecycle framework is developed grounding on performance measurement and supply chain (SC) management literature. To answer the two theory-building research questions, an in-depth case study involving seven firms across three tiers of the mass retail SC has been conducted.

The empirical evidence highlighted potential SCPMS benefits (including operational performance improvement, higher control, lower information overloading and higher SC integration) and criticalities/barriers to an effective adoption (lack of industry standards, lack of trust regarding data reliability, SCPMS as a tool of power, lack of interest in the system and the performance metrics). Several elements characterizing the SCPMS lifecycle could increase its effective adoption: engaging SC partners in the design phase; relying on a rigorous primary data collection and performance measures calculation; and actively exploiting the tool through a systematic discussion on performance and establishing incentive/disincentives plans.

The paper contributes to the conceptualization of SCPMSs and to clarify how to ensure an effective SCPMS adoption: apart from relationship-specific attributes, SCPMS lifecycle phases are suggested to have a key role.

The purpose of this paper is to propose an innovative buyer-supplier performance measurement system (PMS) (called relationship regulator – RelReg), aimed at stimulating collaboration on mutual performance. The RelReg is described all throughout the phases of its lifecycle: first, design features and visual representation of the new measurement framework are reported; second, guidelines on how to implement, use and review the system are provided, highlighting the role of the buyer and the supplier at each step.

A theory building and testing approach is applied. The RelReg developed features primarily ground on previous scientific contributions matched with empirical evidence collected through case studies, workshops and focus groups. The resulting conceptual model is then validated through a dyadic buyer-supplier case study.

Two conceptual frameworks are provided: the RelReg dashboard – a multidimensional PMS; and the RelReg lifecycle – set of activities to be performed by both the buyer and the supplier all along the adoption process. Moreover, empirical insights on relevant issues to be considered when adopting the RelReg are reported.

The RelReg represents an innovative and smart tool, allowing buyer-supplier dyads to collaborate on relationship performance.

The aim of this study is to empirically test the relationship between supply chain performance and organizational performance mediated by customer satisfaction.

Respondents of this study include all the supply chain stakeholders, managers working in the dairy industry, bulk milk chillers/coolers (BMCs), farmer producers, wholesalers, transporters, retailers and consumers. The final sample has 67 firms and their forward and backward linkages, taking the total sample size to 1,139. Mediation analysis was performed using SPSS AMOS v26 to analyze the impact of supply chain performance on organizational performance mediated by customer satisfaction.

The findings of this study reveal that supply chain performance positively impacts organizational performance, and customer satisfaction partially mediates the relationship between them.

This study provides an opportunity for future researchers to test this model in different locations and different industries, incorporating other mediating variables, such as risk, coordination, supply chain orientation etc., as antecedents and operational, economic and marketing performance as consequences.

The study suggests that enhanced organizational performance requires supply chain management to be treated as a strategic function. Managers working at the processing/manufacturing level must focus on improving supply chain performance indicators through collaboration with supply chain stakeholders.

The present study adds to the existing literature by adopting a new supply chain performance measurement approach. The current literature has focused primarily on supply chain practices to study their impact on customer satisfaction and organizational performance. In contrast, the present study demonstrates how improvement in supply chain performance can enhance organizational performance through customer satisfaction.

The purpose of this paper is to introduce a more practical approach for supply chain performance measurement (SCPM) and to approve the promising role of internet of things (IoT) technologies in SCPM systems.

This is a conceptual paper that includes literature review analysis, designing a new approach for SCPM, and a case study scenario for proving its applicability.

The case study scenario shows that IoT can enhance SCPM, as it has the capability to enable real-time data collection, increase data efficiency as long as enable real-time communication within the supply chain (SC).

The proposed approach can help to develop performance measurement systems and applications enabled by IoT technologies. These systems can be used to monitor, manage, and control the overall SC in real time and in a more integrated and cooperative manner.

This paper provides a structured systems building approach tailored to show how to employ IoT technologies in the field of SCPM. This approach could help in establishing new performance measurement applications, and it is believed that both practitioners and researchers will benefit from it.

The performance of the facilities management supply chain (FMSC) in the hotel sector is challenged by the diverse nature of parties involved, their relationships and the flows of services and products. Although performance measurement systems have been endorsed by researchers worldwide as a mechanism to evaluate and improve performance, there seems lack of mechanisms to evaluate the FMSC performance in hotels. Hence, this paper aims to develop a framework that would enable to evaluate FMSC performance in hotels.

A case study strategy was used, where 3 five-star hotels in Sri Lanka were studied for the purpose. The data was collected through semi-structured interviews conducted with 21 professionals involved in FMSC and through document reviews. A content analysis was performed and the framework was developed. This was validated with 3 subject matter experts in the field.

The study findings revealed that the FMSC process is different from manufacturing and service supply chain (SC) processes as it comprises both product and service elements and incorporates internal, as well as external customers. The developed FMSC process comprises seven sub-processes as follows: delivery of products, delivery of services, sourcing, make/fulfil, delivery of FM services and products, receipt of FM services and receipt of products by customers. Based on the derived FMSC process and the key activities, 38 key performance indicators were developed and used in the framework to evaluate the performance of FMSC.

The developed performance evaluation framework is expected to facilitate performance measurement of the SC and enhance its performance. Further, it would enhance cooperation among FMSC partners and assist in achieving FMSC excellence.

This work aims to measure the performance of an electric motors supply chain (SC) by using the Triple E performance measurement model to assess three performance dimensions simultaneously: efficiency, efficacy and environmental impact.

This research presents a real case of a Brazilian company as an example for applying the Triple E performance measurement model and the discrete-event simulation to assess the performance of an SC.

Performance measurements for the three dimensions were the following: (1) for efficiency, a high inventory cost in the SC, driven by the distribution center (DC) (49.7% total cost); an order cycle time operating with an average of 21.7 days and a logistic channel transport capacity of 88%; (2) for efficacy, a service level of 98% for all channels; (3) for environmental impact, the SC emits a total of 395,733 kg of CO₂ annually, with the DC and the regional distribution center (RDC2) being the largest emitters.

This work allowed to measure the performance of an SC interface (manufacturing process, a DC and three regional distribution centers). It was possible to measure the inventory holding cost and out-of-stock inventory costs, order cycle time, SC service level, transport capacity utilization and CO₂ emissions in the transportation process of each SC stage and the whole SC. This study can be used as a decision support guide for academics and practitioners to measure and improve the SC performance.

The purpose of this paper is to conduct a review of the literature that gives insight into design elements for constructing a supply chain performance measurement (SCPM) system.

A systematic review of published research on SCPM systems and frameworks over the last two decades was conducted with the purpose of categorising key functions of SCPM systems by providing an insight into the design, functionality, implementation and practical implications of SCPM systems.

The review revealed a set of functions governing the SCPM system that have not been fully explored in previous research: the process focus, prioritisation, integration and causality functions of a SCPM system. A relationship between two or more functions can be created to include more functionality based on the needs of the company to create a comprehensive performance measurement system.

The paper concludes with a conceptual framework to guide future research in the area of designing a SCPM system and define the main aspects that should be considered when developing a SCPM system.

The paper brings a new dimension to the SCPM research by identifying the main functions of SCPM systems that could benefit practitioners to set up a SCPM system relevant to its intended function. The paper presents multiple potential stages of merging different functions in one SCPM system. Based on the company’s needs and context, the functionality of the SCPM system can be designed at four levels creating ten possible scenarios when designing a company’s SCPM system.

The paper integrated the literature and findings of 269 research papers of the last two decades, upon which a conceptual framework was developed as a guide for constructing an effective SCPM system.