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The purpose of this paper is to develop a conceptual framework of integrated supply chain model that can be used to measure, evaluate and monitor operational performance under dynamic and uncertain conditions.

The research methodology consists of two stages: configuration of a conceptual framework of integrated supply chain model linked with performance measures and illustration of the integrated supply chain model and delivery performance using a case of dairy industry. The integrated supply chain model is based on a unitary structuring technique and forms the basis for measuring and evaluating supply chain performance. Delivery performance with variation of demand (forecast and actual) is monitored using a fuzzy-based decision support system, based on three inputs: capacity utilization (influenced by production disruption), raw materials shortage and quality of dairy products.

Integration of supply chain components (materials, resources, operations, activities, suppliers, etc.) of key processes using unitary structuring approach enables information integration in real time for performance evaluation and monitoring in complex supply chain situations. In addition, real-time performance monitoring is recognized as being of great importance for supply chain management in responding to uncertainties inherent in the operational environment.

Implementation of an integrated model requires maintenance of supply chain components with all necessary data and information in a system environment such as enterprise resource planning.

The integrated model provides decision-makers with an overall view of supply chain components and direct links that need to be maintained for supply chain performance evaluation and monitoring. Wider adaptation and diffusion of the proposed model require further validation of the model and feasibility of implementation, using real-time data and information on selected performance measures.

Integration of supply chain components across supply chain processes directly linked with performance measures is a novel approach for effective supply chain performance evaluation and monitoring in complex supply chains under dynamic and uncertain conditions.

The purpose of this paper is to investigate the effects of product substitutability on sales performance of integrated and decentralised supply chains. The authors model supply chain performance effects by applying a Cournot equation to a combination of different industry configurations. The study aims to extend existing equilibria models in different supply chains by including the effects of product substitutability on supply chain performance. By extending existing equilibria models, the authors explore the relationship between the degree of product substitutability, chain structure and chain performance when some actors of the supply chain behave as Stackelberg leaders in a duopoly.

The paper models a supply chain performance by applying a Cournot equation to different supply chain structures in a duopoly.

The findings indicate that, for each specific-supply chain structures in different market configurations, when product substitutability reaches a certain threshold decentralised supply chains outperform integrated chains, in disagreement with common belief in current existing literature.

The study is limited to the application of differential equations in a competitive market configured as a duopoly. Future studies might extend the same model to a competitive market characterised by more than two actors. The findings imply that current tendency of lean implementations through integrated supply chains does not always favour supply chain performance.

The paper includes implications for the development of a stronger differentiation strategy based on consumer value when markets are characterised by high-product substitutability.

These findings highlight the importance of differentiation and consumer-value generation in markets that follow Nash equilibria as opposed to the current focus on price competition.

The paper identifies the antecedents and consequences of integrated supply chain performance (ISCP) in healthcare systems.

Based on a review of the literature constructs of supply chain flexibility (SCF), employee relationships (ERs), organizational orientation (OO) and knowledge exchange (KE) were identified as antecedents of ISCP, and patient centricity (PC) emerged as its consequence. This structural relationship was tested using partial least square structural equation modeling (PLS-SEM).

ERs, SCF, OO and KE positively impacted the performance of an integrated healthcare supply chain. Furthermore, enhanced ISCP in operational processes of the hospital positively influenced patient centeredness and care quality.

Paper contributes by identifying antecedents and consequences of ISCP. Future researchers may explore the inter-relationships among the antecedents of ISCP.

Insights from this study will help practitioners in enhancing hospital operations by integrating processes along the healthcare service supply chain and developing a patient-centric approach.

This paper highlights how PC may be achieved by focusing on a facilitative internal environment. This understanding may help in designing processes that deliver health as a social good in an effective manner.

The empirical evidence from this study can help hospitals integrate their functions, thus, enabling them to deliver quality care.

This paper proposes an integrative framework for supply chain collaboration which is based on the reciprocal approach.

A reciprocal approach is adopted to capture the interaction phenomenon of different features of collaboration in attaining overall supply chain performance.

A collaborative supply chain framework is composed of five connecting features of collaboration, namely collaborative performance system, information sharing, decision synchronization, incentive alignment, and integrated supply chain processes.

Further research could be carried out to capitalize the framework for diagnosing and improving supply chain collaboration.

The proposed framework enables the chain members to scrutinize key features of supply chain collaboration before and during collaborative initiatives.

Previous research on supply chain collaboration mainly assume the unilateral phenomenon of collaboration that focuses on a single feature such as information sharing or co‐managed inventory. The proposed framework for the first time explicitly addresses the interaction of different connecting features of collaboration.

Measurement of the performance of entire supply chains is an important issue because it allows for “tracking and tracing” of efficacy and efficiency failures and leads to more informed decision making with regard to chain design. However, the choice of appropriate supply chain performance indicators is rather complicated due to the presence of multiple inputs and multiple outputs in the system. Therefore, this paper aims to evaluate the usefulness of a novel conceptual model for supply chain performance measurement in an agri‐food supply chain.

A conceptual model for integrated supply chain performance measurement is evaluated in a Dutch‐German tomato supply chain by means of a case study approach.

The proposed conceptual framework is found to be useful for measuring performance of the tomato supply chain. From the case study it is concluded that four main categories of performance measures (i.e. efficiency, flexibility, responsiveness, and food quality) are identified as key performance components of the tomato supply chain performance measurement system.

This research evaluates a novel concept for measuring the performance of agri‐food supply chains. This concept is the first step in developing an integrated performance measurement system that contains financial as well as non‐financial indicators combined with the specific characteristics of agri‐food supply chains. Based on a case study in the tomato supply chain, this concept is found to have potential.

The purpose of this paper is to propose an integrated supply chain performance measurement framework for the case of small and medium scale enterprises (SMEs) using set of qualitative and quantitative insights gained during the case study research.

This paper develops the supply chain performance measurement framework using the facts revealed through case study analysis, secondary data specific to various SME clusters in India and detailed contemporary studies reported on supply chain management in SMEs. It integrates the salient features of balanced scorecard (BSC) and supply chain operation reference (SCOR) model to deliver a comprehensive performance measurement framework for SMEs.

This paper reports set of performance indicators for the supply chain processes like “source,” “make,” and “deliver” in SMEs. It also relates the measures with various supply chain cycles like “procurement,” “manufacturing,” “replenishment,” and “customer order.” As a result, paper delivers an integrated performance measurement framework for supply chain evaluation and planning in SMEs. It also outlines the detailed guideline for the implementation and use of the framework.

This paper is expected that the developed framework: will help SME managers to improve the visibility of their supply chain amongst interacting partners; and will help SME firms to explain the basis of their decisions to the other supply chain partners and specifically, origingal equipment manufacturer organizations where less bargaining power exist.

This paper integrates the spirit of two well‐known contributions in the field of performance measurement namely BSC and SCOR. The proposed framework is deduced using the findings of real life case study research and hence establishes an adequate platform for its application. It would help the managers or decision makers in SMEs to gain a systematic insight into their supply chain problems and hence undertake the necessary improvements.

The purpose of this paper is to develop a scale with a high degree of reliability, validity and dimensionality which help to determine appropriate supply chain performance measurement (SCPM).

The data were compiled and collected from 213 operations and supply chain heads from leading retail stores in India. Confirmatory factor analysis was used to test the validity of the proposed measurement scale.

The major contribution of the present study is the development of SCPM constructs as well as a rigorously validated measurement instrument. The confirmation process is according to the typical standards of scale development.

This paper strives to contribute to the literature on the SCPM in Indian retail industry. This paper tests the validity of the measurement scales which will enable the managers to determine the appropriate SCPM.

In the long run a good set of identified SCPM and their implementation would inevitability enables in deriving meticulous supply chain strategies.

SCM managers in evaluating their current supply chain performance. This can help the managers to identify the strengths and weaknesses of their supply chain.

This study proved that the SCPM can be used from different perspectives, all of which are integrated into one exclusive assessment instrument, applied to the SCPM in this case.

The purpose of this paper is to theorise and develop seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a supply chain management (SCM) practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP.

Data were collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1 – there is a significant relationship between SCMPs and SCP; H2 – there is a significant relationship between SCMPs and MFP; and H3 – there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling.

The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2).

This study provides hard evidence indicating that higher levels of SCMPs can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCMPs of their firms.

This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.

Logistics capability is an important enabler of supply chain resilience (SCR). However, few studies have analyzed the underlying influence mechanism of logistics capability on SCR in extreme conditions, such as those of the COVID-19 pandemic. The purpose of this study is to increase understanding of the role of logistics capabilities in constituting a resilient supply chain.

Drawing upon the dynamic capability perspective and contingency theory, the proposed conceptual framework aims to demonstrate the relationship between a firm's logistics capabilities and SCR. Furthermore, the conceptual framework is illustrated by empirical evidence from a case study of a Chinese manufacturing company, which focuses on extracting practical lessons from the COVID-19 pandemic.

The findings suggest that digitalization, innovativeness, and modularization comprise potential mediating pathways for firm logistics capability to affect SCR and government policies, risk management culture, trust and cooperation moderate the effect positively. The potential associations are identified and elucidated by detecting the corresponding strategies and practices of a Chinese manufacturer that performed well amid the COVID-19 pandemic.

This study provides specific guidelines for logistics managers to enhance SCR during the COVID-19 pandemic. Seeing SCR as a dynamic capability, the framework is also instructive for manufacturers, supply chain members, and policymakers to achieve the sustained competitive advantage of supply chains.

The findings expand the understanding of enhancing SCR in a logistics approach. The empirical validation of propositions in the case study reveals a new vista for research on SCR.

Research suggests that service-dominant logic (SDL) is well suited to support supply chain management (SCM) research and practice. Qualitative research has shown that SDL is particularly consistent with an outcome-based supply chain strategy known as performance-based logistics (PBL). The purpose of this paper is to extend theory and practice by exploring the degree to which SDL is utilized in practice. Specifically, PBL is examined for consistency with the underlying fundamental premises (FPs) of SDL. In doing so, this paper answers the positive question, “what exists”, at the intersection of SDL and SCM.

This study employs a mixed methodological approach. First, the FPs of SDL are operationalized using the language of PBL. The PBL FPs are tested quantitatively through an online survey of 52 supply chain PBL experts. A qualitative analysis is conducted using comments associated with each premise.

The survey results suggest that PBL is consistent with SDL. These results indicate that PBL is a supply chain context of SDL.

This is one of the first works to examine the degree to which SDL concepts are being utilized in practice.