A review on supply chain performance measures and metrics: 2000‐2011

Can information sharing predict fresh produce supply chain performance amid the COVID-19 pandemic? A social learning perspective

Purpose

This research aims to provide a predictive model assessment on the effect of information sharing on fresh produce supply chain (FPSC) performance during the COVID-19 pandemic by incorporating information quality as an important part of information sharing, as well as cognitive and affective appraisals as part of a social learning process (mediators) into the model.

Design/methodology/approach

An online survey was conducted on 197 small fresh produce (fruits and vegetables) retailers in Indonesia during the COVID-19 pandemic. The data were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM) particularly PLSpredict supported by SmartPLS 4 software.

Findings

This research reveals that information sharing is positively and significantly associated with information quality and that the two constructs are not directly associated with FPSC performance. The path analysis suggests that the effect of information sharing on FPSC performance is fully mediated by cognitive and affective appraisals to the information-sharing activity. It also suggests that the effect of information quality on FPSC performance is fully mediated by affective rather than cognitive appraisal. This model shows a high predictive power and highlights the pivotal role of the learning process during the COVID-19 pandemic.

Originality/value

This research is the first to employ a predictive model assessment in PLS-SEM to empirically predict the effect of information sharing on FPSC performance using a social learning perspective, particularly in the context of the COVID-19 pandemic.

Performance measurement framework for the oil and gas supply chain

Purpose

There is evidence in the literature suggesting the usage of performance measurement framework (PMF) has a positive impact on organisational performance. This is in line with resource based view (RBV) theory, which argues attaining competitive advantage through internal resources and capabilities. In this regard, PMF can be viewed as a “resource” that can be explored in enabling organisational performance. This paper is aimed at developing PMF for the oil and gas supply chain (SC) as a resource and strategic capability.

Design/methodology/approach

Drawing on RBV theory, a questionnaire survey was designed based on prior literature review and exploratory interview with five SC experts. Following this, the questionnaires were distributed to 550 companies in the UK and 120 companies in Malaysia, which resulted in 15% overall response rate.

Findings

This study presents the prevalence of performance measures (PM) for the oil and gas industry based on the level of importance. It also reveals the impact of the usage of PMF on overall organisational performance. In addition, it identifies the challenges in managing SC performance and factors to be considered in choosing PM.

Originality/value

This study identifies the challenges in managing SC performance and establishes distinctive factors to consider when choosing PM in the oil and gas SC.

Airline catering supply chain performance during pandemic disruption: a Bayesian network modelling approach

Purpose

The supply chain (SC) encompasses all actions related to meeting customer requests and transferring materials upstream to meet those demands. Organisations must operate towards increasing SC efficiency and effectiveness to meet SC objectives. Although most businesses expected the coronavirus disease 2019 (COVID-19) pandemic to severely negatively impact their SCs, they did not know how to model disruptions or their effects on performance in the event of a pandemic, leading to delayed responses, an incomplete understanding of the pandemic's effects and late deployment of recovery measures. Therefore, this study aims to consider the impact of implementing Bayesian network (BN) modelling to measure SC performance in the airline catering context.

Design/methodology/approach

This study presents a method for modelling and quantifying SC performance assessment for airline catering. In the COVID-19 context, the researchers proposed a BN model to measure SC performance and risk events and quantify the consequences of pandemic disruptions.

Findings

The study simulates and measures the impact of different triggers on SC performance and business continuity using forward and backward propagation analysis, among other BN features, enabling us to combine various SC perspectives and explicitly account for pandemic scenarios.

Originality/value

This study's findings offer a fresh theoretical perspective on the use of BNs in pandemic SC disruption modelling. The findings can be used as a decision-making tool to predict and better understand how pandemics affect SC performance.

Risks and supply chain performance: globalization and COVID-19 perspectives

Purpose

This article aims to examine the simultaneous effect of risks on physical and intangible dimensions of supply chain performance under the globalization and Covid-19 perspectives.

Design/methodology/approach

The manipulation of literature reviews together with the combination of Q-sort and empirical data in the construction industry to identify and assess risks and supply chain performance, is a novel approach in the supply chain risk management area. The analysis of Structural Equation Modeling that is able to calculate the simultaneous impact of various risks on supply chain performance, is used to validate this relationship.

Findings

Global supply chains are currently facing interruptions caused by several sources of inherent uncertainties, e.g. natural disasters, war and terrorism, external legal issues, economic and political instability, social and cultural grievances, and diseases. The weaknesses of the current global supply chain have been revealed, resulting in delays, supply unfulfillment, labor shortages and demand fluctuation. These supply chain risks have a great on supply chain performance indicators, and the magnitude of their impact tends to increasingly impact in the context of globalization and the Covid-19 pandemic. Findings showed that the proposed risk models can be explained with Variance of supplier performance (25.5%), Innovation and learning (21.2%), Internal business (61.9%), Customer service (39.4%) and Finance (39.7%).

Research limitations/implications

Supply chain managers should keep in mind acceptable cost/benefit trade-offs in corporate risk mitigation efforts associated with major contingency risks. In doing so, the proposed hypothesized model can be “a road map” to achieve this purpose. Our research favors the adoption of supply chain management strategies, e.g. postponement, speculation and avoidance.

Originality/value

The trend toward globalization and the emergence of the Covid-19 pandemic increasing supply chain complexity are regarded as key drivers of supply chain risk and therefore enhance vulnerability to supply chain.

Analysis of the Economic Sustainability of the Supply Chain Sector by Applying the Altman Z-Score Predictor

This paper fills the gap in the financial perspective of supply chain performance measurement, related to the lack of a bankruptcy probability indicator, and proposes a predictor which is the eighth-model of the Altman Z-Score Logistic Regression. Furthermore, a bankruptcy probability ranking is established for the companies’ supply chains, according to the industry to which they belong. Moreover, the values are set to establish three categories of companies according to predictor. The probability of bankruptcy is analysed and studied for the supply chain of different industries. The building industry is revealed to have the highest probability of bankruptcy.

Lean and agile metrics. Literature review and framework for measuring leagile supply chain

Purpose

The aim of this paper is to review metrics and develop a framework for measuring leagile supply chain. Metrics that are applicable in the lean, agile and leagile strategies are identified in the literature and are then combined into a framework that can reflect both agile and lean strategies – the leagile supply strategy.

Design/methodology/approach

This work is based on the systematic literature review. Literature was collected, then lean and agile metrics were extracted, analysed, counted and grouped into the framework. Findings are compared against literature on leagile supply chain.

Findings

Findings indicate that there are sets of metrics specific to lean strategy, such as are process-focused, cost, productivity, inventory and delivery-based metrics, and specific to agile such as flexibility, responsiveness, information sharing and cooperation. There are also metrics common for both strategies; they are related to time, quality and customer satisfaction. Lean measures are tangible and focused on internal processes and products, while agile measures are targeted at external environment.

Practical implications

The framework could be used by practitioners as a starting point for performance system design.

Originality/value

There is a need to stop looking at lean and agile as separate and distinct supply strategies. Results of this research indicate that lean and agile are interlinked, both are focusing on customer satisfaction and quality. Applying a proposed set of metrics enables to design supply chain measurement system that reflects both strategies to measure leagile supply chain. The framework could be used by practitioners as a starting point for performance system design.

Assessment of Sustainable Collaboration in Collaborative Business Ecosystems

Advances in information and communication technologies and, more specifically, in artificial intelligence resulted in more intelligent systems, which, in the business world, particularly in collaborative business ecosystems, can lead to a more streamlined, effective, and sustainable processes. Following the design science research method, this article presents a simulation model, which includes a performance assessment and influence mechanism to evaluate and influence the collaboration of the organisations in a business ecosystem. The establishment of adequate performance indicators to assess the organisations can act as an influencing factor of their behaviour, contributing to enhancing their performance and improving the ecosystem collaboration sustainability. As such, several scenarios are presented shaping the simulation model with actual data gathered from three IT industry organisations running in the same business ecosystem, assessed by a set of proposed performance indicators. The resulting outcomes show that the collaboration can be measured, and the organisations’ behaviour can be influenced by varying the weights of the performance indicators adopted by the CBE manager.

Performance Measurement Systems for Circular Supply Chain Management: Current State of Development

With circular supply chain management, the need arises to measure circularity as well as economic, environmental, and social performance. This places higher demands on performance measurement systems for circular supply chain management. The current paper studies the extent to which performance measurement systems for circular supply chain management can meet these higher demands. To gain this insight, a systematic literature review is conducted. Moreover, existing definitions of circular supply chain management are reviewed and an improved definition of circular supply chain management is developed. The current paper finds, among other things, that the literature on performance measurement systems for circular supply chain management is scarce. Moreover, most of the available performance measurement systems for circular supply chain management have not been tested in practice and are therefore still in an early phase of development. Furthermore, none of the available performance measurement systems for circular supply chain management meet the requirements for effective performance measurement systems. More specifically, including interdependencies between performance measures is a requirement that none of the performance measurement systems for circular supply chain management can meet. Including interdependencies would better support the complex decision making that arises in circular supply chain management and enable one to challenge strategic assumptions about the improvement of circularity, economic, environmental, and social performance in parallel.

Association of performance with quality initiatives and quality awards: quality initiatives' effect

Purpose

The purpose of this empirical study intends to explore the contingency effect of the adoption of some specific quality initiatives (QI), on the correlation of some performance measures (PMs) with the “interacting” QI and quality award (QA) models through the continuous improvement (CI) journey of Indian QA winners.

Design/methodology/approach

A survey questionnaire was administered to the Indian Quality Award winners. Data collected from a survey were followed by validity and reliability analyses of the instrument. Hypotheses were tested using Spearman's correlation test and Fisher's Z-test.

Findings

Some specific QI that affected the correlation between PMs and research questions representing the interaction among QI and QA models during different stages of the CI journey of organizations were identified. PMs that correlated with interacting QI and QA models through the above stages of CI journey were also identified.

Practical implications

A preliminary inference on QI to be adopted and the PMs to be focused upon during the different periods of CI journey of Indian organizations was arrived at. This could help practitioners in proper choice of QI and to focus upon “realistic” PM through different stages of the CI journey of organizations.

Originality/value

This study attempts to fill the gap of scarce holistic studies on the long-term performance implications of interacting QI and QA through the CI journey of organizations.

A model of service supply chain sustainability assessment using fuzzy methods and factor analysis in oil and gas industry

Purpose

The main objective of this study is to present a conceptual model of sustainable product service supply chain (SPSSC) performance assessment in the oil and gas industry.

Design/methodology/approach

Based on an in-depth study of the previous literature, the indicators related to PSSC performance assessment were determined. Then, exploratory factor analysis and confirmatory factor analysis were applied to identify and confirm the sub-criteria and criteria pertaining to the proposed model.

Findings

The obtained results identify ten criteria related to the proposed model as follows: “Environmental performance”, “Customer performance”, “financial performance”, “Information technology Performance”, “Social Performance”, “Risk performance”, “Logistics performance”, “Operational performance”, “Organizational performance” and “performance of innovation and growth”.

Research limitations/implications

As the present research was conducted in the Iranian context, caution should be taken regarding the generalizability of the obtained results.

Originality/value

Based on a set of the identified criteria, this study proposes a conceptual model of the PSSC performance assessment in the oil and gas industry which hopefully could be useful for other organizations in this industry and other organizations in other parts of the world.

Contribution of green manufacturing for realizing business performance in Indian small and medium scale organizations (SME’s)

Purpose

The current manuscript is focused on evaluating the capabilities of green practices that affect various business performance (BP) parameters of small and medium scale Indian manufacturing enterprises (SME’s). This study aims to obtain multiple significant factors that influence the implementation of green practices.

Design/methodology/approach

The manuscript focuses on statistical testing of responses obtained from 168 Indian SMEs to determine the relationship between input parameters and BP parameters. This paper starts with deploying tests such as Cronbach alpha and inter-item covariance test to obtain confidence in data collected, followed by various statistical tests such as Pearson correlation, multiple regression, canonical correlation to extract various significant factors the study. Further Games-Howell post hoc test is deployed to evaluate the significant improvements in BP gained over a reasonable duration of time. Finally, a discriminant validity test is used to find out the success or failure of the organizations that participated in the survey.

Findings

This research contributes to the holistic effect of green manufacturing (GM) toward gaining improvements in terms of different BP parameters taken for the study. It has been found that various input factors such as customer attributes, adoption of new technology, social pressure and government pressure are the main parameters for GM implementation. Further, it is observed that those at the maturity phase of GM implementation are reaping higher benefits than the organizations at the transition and stability phase.

Originality/value

The current study has been accomplished in Indian SME manufacturing organizations to investigate the effects of GM implementation in the organization. Although research findings imply the effective use of green practices within the organization to reap BP parameters and improve the market’s competitive image, the study cannot be generalized and can be used as an insight for both academicians and end-users in understanding the overall achievements of GM.

Supply chain performance for a traditional shipbuilding industry in Indonesia

Purpose

Study in supply chain performance research on the shipbuilding industry is lacking. The purpose of this research is to study and provide guidelines to improve the performance of traditional shipbuilding supply chains in Indonesia.

Design/methodology/approach

The paper develops an empirical study gathered from a traditional shipbuilding industry, its suppliers, and customers. This study consists of three sections: the traditional shipbuilding industry, the suppliers, and the individual supplier scores. The internal and external performances in this study are measured using Supply Chain Operations Reference (SCOR) metrics. The SCOR model identifies five performance measurement attributes, including reliability, flexibility, responsiveness, cost and assets. Instead of using “responsiveness,” this study applies the schedule performance index, and supplements “cost” with the cost performance index in order to accurately reflect the traditional shipbuilding supply chains processes.

Findings

By analyzing SCOR metrics in the traditional shipbuilding industry, it has been found that the ideal shipbuilding supply chain metrics are order fulfillment, flexibility, asset turnover and total supply chain costs. The lowest performance metric value in the traditional shipbuilding industry is the cost of goods. Some improvements are proposed to lower the high cost of ship building. An integrated economic ordering system in collaboration with all the suppliers is one of the most effective ways to reduce the cost of the traditional shipbuilding supply chains. The implementation of SCOR metrics enables management to identify the critical issues to improve.

Research limitations/implications

The study applies SCOR metrics to improve the traditional shipbuilding supply chains performance. The study is limited because the data collected are based on one shipbuilding industry only.

Originality/value

To the author's knowledge, this is the first empirical analysis on the implementation of SCOR metrics to the traditional shipbuilding industry. The analysis to improve the traditional shipbuilding supply chains performance can provide managerial insights to other industries.

The unit effect from a performance management perspective

Purpose

The subjective interpretation of numerical information can induce the so-called unit effect, i.e. the scale and unit chosen to quantify such information might influence a person's judgment. Although this bias is well-known, until now, it has been difficult to obtain an overview of the respective research. There are a variety of versions of the unit effect, different terms are used for the same kind of effect and proposals for grouping such effects lack a straightforward typology.

Design/methodology/approach

A literature review is conducted using a systematic literature search design. We address the following questions: (1) What knowledge exists about the unit effect? (2) What is a suitable concept for structuring the findings? (3) What ideas can be deduced for future research focusing on performance management?

Findings

A total of 11 versions of the unit effect and 27 moderating variables are identified and grouped into four contexts in which the effects occur. Structured according to these contexts, research ideas are depicted. They include suggestions for studies adapted to the field of performance management to scrutinize the main effects and moderators addressed in the literature to date as well as to consider additional potential moderators.

Originality/value

Few publications explicitly address the unit effect from the perspective of performance management. As one of the core objectives of this business function is to enable rational decision-making based on numerical information, it can be assumed that corresponding research will be very fruitful.

Towards a strategic innovation framework to support supply chain performance

Purpose

This paper aims to determine how a strategic innovation framework that integrates the concepts of innovation function, dynamic performance management (DPM) and system-dynamics (SD) modelling can measure performance in a supply chain (SC).

Design/methodology/approach

The paper provides a strategic innovation framework for an SC by considering three steps. First, a systemic intervention is presented based on the innovation functions that influence SC performance. Second, an analysis of the system's performance is proposed. Third, a model SD-based simulation is designed. The developed framework is explained by employing a case study of the Colombian pig sector SC.

Findings

The results reveal that identifying and synchronising the system's performance drivers associated with the innovation functions could improve the inventory in the SC.

Practical implications

On the one hand, managers can use the proposed framework to evaluate the innovation investments and understand their impact on operation performance (e.g. on inventories). On the other hand, policymakers may support decision-making to improve policy design (e.g. through investment in R&D).

Originality/value

Few studies discuss the impacts of innovation functions on SC performance. This paper aims to fill this theoretical gap and to contribute to the literature by suggesting a novel framework which includes innovation functions.

The thematic landscape of literature on supply chain management in India: a systematic literature review

Purpose

To assess the state of supply chain management (SCM) research in India and to understand the research trends and methodologies used. The present study also aims to create a taxonomy of the subject areas researched in India.

Design/methodology/approach

The present study employed the systematic literature review methodology. Literature from 395 peer journal papers in 67 leading journals over a 20-year period (2000–2020 Quarter-1) was comprehensively reviewed and assessed.

Findings

SCM research in India started around the year 2000. The quantum of research was low (single digit) until 2010. There has been steady growth over the last decade, and over 50% of the total papers up until now has been published in the last four years. The present study created a three-tiered taxonomy of the subject areas and classified the papers as per it. The first tier (level-1) has seven categories (SCM strategy, network design, SCM processes and integration, IT systems, skills, performance measurement and others). A perusal of the newly created taxonomy revealed that, except for a few areas under level-1 categories (such as SCM processes and SCM strategy), the other level-1 categories have not seen much research. Similarly, there is little or no research in a large number of level-2 categories (such as outsourcing strategy, channel strategy, demand management, demand fulfillment, customer relationship management, integrated supply chain planning, new product development, returns, supply chain orientation, performance monitoring, performance improvement, SCM adoption process, SCM implementation issues and quantified benefits of SCM). Methodologically, the rigor of SCM research in India needs improvement.

Originality/value

A comprehensive taxonomy of SCM subject areas researched in India at three cascading levels was created for the first time in the present study. The taxonomy will help provide researchers with a clear understanding of the structure of the subject areas and help in identifying areas where research has been carried out and the subject areas where gaps exist for future research to proceed. The present study also provides an overview of the methodological rigor of SCM research in India and points out some of the limitations that researchers should avoid in future studies.

Enhancing business performance through green human resource management practices: an empirical evidence from Malaysian manufacturing industry

Purpose

The purpose of this study is to assess the key determinants of green human resource management (GHRM) and investigate its impact on environmental performance (EP) and business performance (BP).

Design/methodology/approach

The research employed SmartPLS 3 and follows a cross-sectional research design. Data from 179 employees were collected using a convenience sampling technique from the firms that adopted GHRM practices.

Findings

The research found a significant relationship of GHRM with EP and also reported the significant relationship between EP and BP. Moreover, EP significantly mediates the relationship of GHRM with BP.

Research limitations/implications

A relatively small sample size of employees was used that may suggest the need for a diverse and more representative sample. The paper is based on data collected from the Malaysian manufacturing industry – other economic sectors and Asian countries may offer different results.

Practical implications

The paper identifies the need for incorporating GHRM practices and culture at the workplace to encourage positive green behavior in employees which will increase the EP and BP of the firm.

Originality/value

This paper reported the initial empirical findings after the March 7th incident on EP of businesses in Malaysia, where businesses have initiated the adoption of GHRM practices.

Supply chain quality management performance measurement: systematic review

Purpose

This study aims at investigating the existing knowledge in the literature on quality management performance measurement in order to identify performance measures in the field of total quality management and classify measures according to the three levels of supplier, customer and company.

Design/methodology/approach

A systematic literature review is conducted at the intersection of performance measurement and total quality management fields. Four databases including Web of Sciences, Scopus, Emerald and Google Scholar were searched up to 2018. A final sample of 24 articles was selected based on the inclusion/exclusion criteria that constitutes the knowledge base of the study.

Findings

One of the problems that many organizations face is the lack of knowledge and resources on how to evaluate, improve and manage the quality performance. Through analysis and synthesis of the literature, the study revealed the measures for assessing quality performance at three levels of supplier, customer and company.

Research limitations/implications

This study focuses only on four databases, which may have limited the number of the databases included and thus the scope of this investigation to a certain extent.

Originality/value

The present study aimed to identify and classify different performance measures through a systematic literature review framework classifying these measures into three groups. The article brings together fragmented literature from multiple studies to categorize research output regarding performance measurement of supply chain quality. The paper shows the state of the performance measurement in total quality management in supply chain.

An MCDM framework for assessment of social sustainability indicators of the freight transport industry under uncertainty. A multi-company perspective

Purpose

The balancing of sustainability dimensions is the prime agenda of supply chain organisations. The supply chain sustainability greatly influenced by its freight transport activities. Most of the previous work discussed the economic and environmental sustainability of freight transport industry; although the social sustainability (SS) dimension paid less attention to researchers and practitioners of emerging economies. The purpose of this study is to investigate the importance of SS indicators in the freight transport industry. The SS assessment framework is validated with the Indian freight transport industry.

Design/methodology/approach

The proposed framework considers four SS dimension and 25 indicators. The SS indicators’ importance varies with the individual company's prospect. Therefore the proposed framework is used in multi-company perspective as well as in industry perspective to present more realistic results. The importance weight of SS dimension and indicators are computed with a novel multi-criteria decision-making (MCDM) method, i.e. fuzzy best–worst method (FBWM).

Findings

The prioritisation of SS indicators in each company perspective is compared with an industry perspective. The contribution to community health and education program is most valuable indicator followed by the prevention of child and forced labour. The model robustness is tested through sensitivity analysis and reported that less variation in indicators’ ranking.

Originality/value

To authors best of knowledge, this is the first study to highlight the importance of SS indicators in the freight transport industry. This study contributes to the sustainability assessment literature by providing a nuanced perception of the SS indicators and put forward managerial implications for improving the SS of the freight transport industry. The proposed framework could be treated as a benchmark for other developing nation's freight transport industry.

A review of facilities management performance measurement

Purpose

The purpose of this paper is to present a comprehensive review of facilities management (FM) performance measurement (PM) research within the past two decades to understand existing gaps in FM PM literature.

Design/methodology/approach

The paper employs a systematic approach to review papers in FM PM published from 1997 to 2017. The articles published in selected peer-reviewed international journals in the last 20 years were collected by conducting literature search in the Web of Science and Scopus databases. The content of the papers were scrutinized to understand the gap in literature.

Findings

The review depicts a slow pace of FM PM research characterized by diverse and fragmented performance measures, whereas the existing PM frameworks are at the nascent stage.

Research limitations/implications

The judgments of the paper are based on the 54 papers selected for the critical review and analysis that should be treated as key issues in FM PM research agenda. The review also excludes energy management.

Originality/value

The paper identifies the gaps in the current PM literature in FM and set propositions for future research which is of utility and relevance to FM researchers more especially on the existing conceptual frameworks. To the best of the authors’ knowledge, this paper is the first attempt to conduct a review on FM PM in the extant literature.

Performance measurement for supply chain management and quality management integration

Purpose

The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM).

Design/methodology/approach

A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning.

Findings

Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed.

Originality/value

This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.

Environmentally Sustainable Logistics Performance Management Process Integration between Buyers and 3PLs

To ensure environmentally sustainable logistics, organizations need to have an environmentally sustainable logistics performance management (ESLPM) process. In line with supply chain management (SCM) literature, there is a desire towards integrating processes with supply chain partners to increase performance. The purpose of this paper is to propose a framework for ESLPM process integration and to illustrate this framework in practice between buyers and third-party logistics (3PLs) providers. The method used is multiple case studies of three dyads of 3PLs and buyers from the public and private sector. Data were collected through 10 semi-structured interviews. Our major result is a proposed framework with criteria for the degree of ESLPM process integration between buyers and 3PLs. It includes six activities: Selecting environmentally sustainable logistics performance (ESLP) variables, defining ESLP metrics, setting ESLP targets, measuring ESLP metrics, ESLPM feedback, and analyzing ESLP outcomes and processes. It considers suggested operationalization of each activity and the corresponding degree of integration. The framework can provide guidelines for practitioners in identifying current degree of process integration. It may also support decisions regarding actions needed to advance to a higher degree. This framework is the first to address logistics performance management process integration including environmental sustainability.

Key characteristics for designing a supply chain performance measurement system

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Performance measurement in the natural gas industry

Purpose

The purpose of this paper is to develop a performance measurement model for the entire supply chain that includes balanced set of performance measures.

Design/methodology/approach

The conceptual model was validated empirically in case companies through semi-structured interviews and content analysis of documents.

Findings

Performance measures are important to companies in the natural gas (NG) supply chain to assess performance against set objectives in order to identify loopholes in performance. This is important in order to remain competitive. The research found that both financial and non-financial performance measures are employed by companies to measure performance. The results also indicate that six performance criteria of the conceptual model are vital to the NG supply chain. In addition, all identified measures under each of criteria impact on performance of the supply chain with customer service and financial criteria considered as most important.

Research limitations/implications

The empirical data collected from the NG supply chain in Ghana were relatively small; however, additional information was obtained from company data and relevant magazines. Also, getting through to specific target participant was a challenge due to busy work schedule but, in case companies where it proved impossible, other staff who were also involved in supply chain were interviewed instead.

Practical implications

This research provides a useful source of information on performance measures for practitioners in the NG industry who wish to measure performance of their supply chain. It also provides areas from which further and additional research can be carried out.

Originality/value

This research provides performance measures for the NG supply chain of Ghana. Typically, performance measures have been evaluated in discrete manufacturing supply chain, petroleum industry supply chain and oil industry supply chain. This research expanded on ideas from these studies and applied them in the NG industry.

Aligning product variety with supply chain and business strategy

Purpose

The purpose of this paper is to demonstrate the strategic alignment between product variety and supply chain (SC) focus through cost leadership or differentiation to improve business performance.

Design/methodology/approach

The research investigated product variety-related capabilities and strategies in SCs including level of variety, SC agility, SC cost efficiency, cost leadership, differentiation and business performance, and aimed to justify the theory by testing structural equation modelling using survey data from the UK and South Korea.

Findings

Differentiation links high product variety and agile SC while cost leadership is aligned with low product variety and SC efficiency. High product variety negatively impacts on cost leadership strategy. Also, product variety should be mediated by cost leadership or differentiation strategy to improve business performance. Companies in South Korea display higher SC agility, cost leadership and cost efficiency than companies in the UK, while the UK companies exhibit a higher level of product variety and differentiation than those in South Korea.

Research limitations/implications

The findings contribute to theoretical development of variety issues at the alignment of business strategy and SC management according to the level of product variety.

Originality/value

The findings can help international companies set up specific variety-related strategies to achieve global competitiveness.

Measuring Performance in Transportation Companies in Developing Countries: A Novel Rough ARAS Model

The success of any business depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction, that is, the ability to properly define a set of success indicators. It is necessary to continuously monitor and measure the indicators that have the greatest impact on the achievement of previously set goals. Regarding transportation companies, the rationalization of transportation activities and processes plays an important role in ensuring business efficiency. Therefore, in this paper, a model for evaluating performance indicators has been developed and implemented in three different countries: Bosnia and Herzegovina, Libya and Serbia. The model consists of five phases, of which the greatest contribution is the development of a novel rough additive ratio assessment (ARAS) approach for evaluating measured performance indicators in transportation companies. The evaluation was carried out in the territories of the aforementioned countries in a total of nine companies that were evaluated on the basis of 20 performance indicators. The results obtained were verified throughout a three-phase procedure of a sensitivity analysis. The significance of the performance indicators was simulated throughout the formation of 10 scenarios in the sensitivity analysis. In addition, the following approaches were applied: rough WASPAS (weighted aggregated sum product assessment), rough SAW (simple additive weighting), rough MABAC (multi-attributive border approximation area comparison) and rough EDAS (evaluation based on distance from average solution), which showed high correlation of ranks by applying Spearman's correlation coefficient (SCC).

Mediating role of process simplification in process integration and upstream supply chain flexibility

Purpose

The purpose of this paper is to investigate the mediating role of process simplification on the relationship between process integration and upstream supply chain flexibility in Indian automotive organizations.

Design/methodology/approach

The three-step mediation analysis was performed using SPSS macro PROCESS to assess the mediating role of process simplification on the relationship between process integration constructs: top management commitment and supplier relationship; and upstream supply chain flexibility.

Findings

The results indicate a complete mediation effect of process simplification between supplier relationship and upstream supply chain flexibility, while partial mediation effect is noticed between top management commitment and upstream supply chain flexibility.

Practical implications

For Indian automotive managers, the study suggests that for improving the upstream supply chain flexibility, organizations must have a strategy towards improving the simplification of supply chain processes by upgrading technology and providing training to their suppliers. This understanding will help the automotive managers to simplify their upstream supply chain processes for gaining competitive positioning and maximizing the organizational profit.

Originality/value

This study has considered the mediating role of process simplification (a relatively less studied variable) specifically in the context of its impact on upstream supply chain flexibility. Also, the presented study explores this role in the Indian automotive domain which further enhances its value for both practitioners and researchers alike.

Supply chain performance measures and metrics: a bibliometric study

Purpose

The purpose of this paper is to review the existing literature on supply chain performance measures and metrics (PMMs). It provides a critical evaluation of 234 articles published in past 24 years.

Design/methodology/approach

The paper examines the studies published from 1991 to 2014 by adopting the bibliometric technique of citation and co-citation analysis.

Findings

The analysis of the results indicate that the number of articles on supply chain PMMs is increasing at its fastest pace in the past few years. Furthermore, the study identifies some of the most influential articles on performance measurement and metrics. Finally, it concludes that there has been a transition from traditional to more sophisticated performance measurement system.

Research limitations/implications

This study focuses only on supply chain performance measurement and metrics and excludes research on performance management and control. Thus, researchers may explore and extend this area of research.

Originality/value

To the knowledge of the authors, this is the first study to review the literature on supply chain PMMs by using citation and co-citation analysis. The study includes 234 articles over the time of 24 years (1991-2014).

Supply chain strategies of manufacturers in Ethiopia

Purpose

The purpose of this paper is to test the supply chain (SC) strategies and the linking of SCs to SC strategies in line with Lee’s (2002) model.

Design/methodology/approach

The paper used an empirical survey of 134 large industries to test the hypothesis suggested and strengthens the existing theories.

Findings

Companies and SC measures are matched distinctively to their respective SC strategies.

Research limitations/implications

Even though the research is only one of the few on case considered, it is not without limitations. The benefits from matching SC measures to the SC strategies are not quantified. Besides, continental wise survey is needed to come with further improved theory.

Practical implications

Different SC types require typical SC measures in order to increase competitiveness. Linking SC performance to the respective SC strategy is compulsory.

Originality/value

The research can be considered the only one of the few in the continent in general and a case country in particular. It is also the first of the type in the world in testing Lee’s model as far as the authors’ knowledge concerns.

An investigation of the relationship between supply chain management practices (SCMP) on supply chain performance measurement (SCPM) of Indian retail chain using SEM

Purpose

The purpose of this paper is to investigate the relationship between two major constructs (supply chain management practices (SCMP) and supply chain performance measures), which determines the efficiency and efficacy of retail-supply chain management, using a rigorous empirical method to validate the instrument scale for measuring the validity and reliability of the identified constructs. Additionally, the paper further tests the relationship between SCMP and supply chain performance measures using structural equation modeling (SEM).

Design/methodology/approach

Data were compiled and collected from 213 operations and supply chain (SC) heads from leading retail stores in India. Confirmatory factor analysis was used to test the validity of the proposed measurement scale and the relationship is tested using SEM.

Findings

The results of the research will help the decision makers in the SC/procurement field to understand the importance of the association between SCMP and supply chain performance measures. Statistical tests show that the implementation of SCMP are associated with supply chain performance measures, which leads to overall improvements; moreover, there is a statistically significant association between the five SCMP and eight SCPM.

Research limitations/implications

This research is also needed to provide more understanding about the SCMP along with the supply chain performance measures and the positive association among them. Overall, this research provides an additional insight into the growing field of the relationships between SCMP and SCPM. Clearly, the field has ample space to grow in terms of research and practice.

Originality/value

This research paper contributes to the literature on supply chain performance measurement.

Framework for measuring performance of the sales and operations planning process

Purpose

The purpose of this paper is to develop a framework for measuring the S&OP process performance.

Design/methodology/approach

The method used is a multiple case study of five companies from different industries based on data from 12 structured interviews.

Findings

The main result is a framework to measure the S&OP process. It includes concrete suggestions for organizations when developing measures to increase effectiveness and efficiency of the process. It will also help organizations to standardize measures and to enhance organizational transparency. Our results include measures for every step of the process as well as for the outcome of the process. The authors highlight the importance of cross-functional measures along with measures that focus on how to conduct the process. The framework is founded on a set of criteria on appropriate measures such as comprehensiveness, internal process efficiency, horizontal and vertical integration, internal comparability, and usefulness. The study contributes to performance measurement literature and the S&OP literature.

Research limitations/ implications

Validation of the framework is desirable in similar as well as other contexts. Implementation challenges should also be investigated.

Practical implications

The framework provides guidelines in order to measure, analyze and improve the effectiveness and the efficiency of the process.

Originality/values

This is the first framework for measuring the S&OP process that includes detailed measures for each step of the process, for the outcome of the process as well as how to conduct the process itself.

A SCOR framework to measure logistics performance of humanitarian organizations

Purpose

– In humanitarian logistics operations, performance measurement is crucial for effective operation. The purpose of this paper is to develop a set of indicators for humanitarian relief organizations (HROs) for their organizational-level logistics operations.

Design/methodology/approach

– The authors applied the supply chain operations reference (SCOR) framework to the context of humanitarian supply chains. By taking a bottom-up approach with the support of a large HRO, the authors identified the most important metrics through examining its supply chain processes. The initial metrics are then validated by seven HROs to ensure their applicability in humanitarian logistics operations.

Findings

– A hierarchical benchmarking framework is proposed, and a set of 26 metrics is identified. The validation of these metrics supports the initial work with all metrics deemed important. It also highlights the implementation difficulty as only five indicators are readily available. The authors further suggested the automation of key logistics processes, which would significantly increase the number of implementable metrics to 14.

Research limitations/implications

– The sample size of the validation is small, and the last mile delivery is not covered by the metrics.

Practical implications

– With these performance metrics, HROs are able to monitor their logistics performance better with processed-based measures, which may lead to their policy and process adjustments for performance improvement.

Originality/value

– The work contributes to performance measurement in humanitarian logistics with a framework of a generic metrics set. The validation result is also original to reveal the state of performance measurement on the ground.

An environmental balanced scorecard for supply chain performance measurement (Env_BSC_4_SCPM)

Purpose

– Companies need to excel in many areas to achieve a competitive advantage. This, together with pressure imposed by regulators and customers regarding sustainability concerns, leads companies to address sustainability in an integrated fashion across all management processes. The purpose of this paper is to suggest a model for the assessment of the environmental performance of a supply chain, based on four perspectives used in the balanced scorecard. Performance indicators are proposed based on the literature, as well as on the ISO 14031 and GRI standards, and were validated by a panel of experts.

Design/methodology/approach

– Based on a literature review on models for environmental performance management a novel model to assess the environmental performance of the supply chains (Env_BSC_4_SCPM) is proposed. Data collected from the first tier suppliers of an automotive industry case study are used to test the proposed model.

Findings

– The model developed was tested in a case study company, showing it ability to benchmark the company first tiers suppliers and products. The model is also useful as a decision support tool to define actions to be taken in order to improve the global environment performance of the supply chain.

Research limitations/implications

– The proposed model was developed to evaluate the environmental performance of supply chains. Nevertheless, the case study only takes account of the first tier suppliers, due to difficulties associated to data collecting for the other elements in the supply chain. Widening the frontiers, the next phase may include the application of this model to second, third and lower tier suppliers, as well as the final customer. Improvements in the model could also include the construction of a composite index to measure the environmental supply chain performance.

Practical implications

– The paper provides a model that can be used by practitioners to evaluate the environmental performance of their supply chain and to decide on actions to be taken to improve it.

Originality/value

– As stated by several authors, there has been limited research conducted in the field of environmental evaluation of supply chains. This paper proposes a novel model for the environmental performance of the supply chain and tests it using industrial empirical data.

Conceptualizing the relative openness of supply chain and its impact on organizational performance

Purpose

– The purpose of this paper is to develop a framework conceptualizing the relative openness of a supply chain and its impact on organizational performance.

Design/methodology/approach

– The literature on system theory and the attributes of supply chain management are used to develop a framework describing the relative openness of a supply chain.

Findings

– Different supply chain terminologies – such as adaptive supply chain network, best value supply chain, and open inter-organizational system – partially draw upon the basic premises of an open system. The relative openness of a supply chain and, consequently, the dynamics of different supply chain attributes remain understudied. This supports the idea that an open system perspective of the supply chain is imperative to improve the understanding of the influence of supply chain openness on organizational performance.

Originality/value

– The conceptual framework posits that different supply chain attributes affect the openness of supply chain to a varying degree which ultimately influences the organizational performance. The proposed framework and research propositions will serve as a springboard for conducting future empirical studies.

Development, measurement and validation of supply chain performance measurement (SCPM) scale in Indian retail sector

Purpose

– 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).

Design/methodology/approach

– 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.

Findings

– 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.

Research limitations/implications

– 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.

Practical implications

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

Social implications

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

Originality/value

– 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.

Measuring humanitarian supply chain performance in a multi-goal context

Purpose

– The purpose of the paper is to deepen the understanding of supply chain performance objectives in the humanitarian context by striving to understand the underlying goals and conceptual variables behind the measurement of performance, such as efficiency.

Design/methodology/approach

– The research is an in-depth case study with one humanitarian organization. The data are gathered with mixed methods over a two-year period. Interviews were conducted in August 2010 and April 2012, and a survey conducted in October 2012.

Findings

– Misalignments are detected among different groups in humanitarian operations and between their goals and processes. These misalignments could possibly be corrected through long-term thinking in short-term operations by considering sustainability aspects throughout humanitarian assistance, for example. In addition, efficiency was a commonly identified objective in the case organization, although the definition varied widely and extended beyond the traditional definition of productivity to include planning, accountability and quality.

Practical implications

– Better communication and definition of terms is necessary to align goals and the power hierarchy in humanitarian supply chains, where operations seem to be structured more according to donor requirements then beneficiary needs.

Originality/value

– This is an in-depth case study, applying goal-setting theory to study supply chain performance. The study further responds to the public “aid efficiency” discussion by striving to recognize how efficiency is understood and how it can be measured in a humanitarian supply chain.

Performance measurement and metrics in supply chains: an exploratory study

Purpose

– The purpose of this paper is to explore the approaches and metrics used to measure supply chain (SC) performance, and to understand the relative perceived importance of such measures.

Design/methodology/approach

– This research is based on empirical data captured through a survey of SC professionals in a variety of business sectors.

Findings

– The research confirms the importance of the balanced scorecard (BSC) approach, with BSC, SCOR and economic value added being the most commonly used tools. Economic metrics dominate, focused on cost and customer service. While social and environmental-related measures are of emerging importance, they appear to be of similar importance to economic metrics only when backed up by a legal obligation.

Research limitations/implications

– The small sample of 51 companies was based on access and the group is not wholly representative of all businesses. Respondents were mainly managers from EU countries involved in procurement, logistics and transport activities. Surveyed companies included manufacturing, automotive, retail, logistics services and wholesaling businesses.

Practical implications

– The common key performance indicators (KPI’s) are identified. These include measures related to: quality, efficiency, responsiveness, health and safety, employees, emission, natural resources utilisation, waste and recycling. Issues that influence the usage of measurement systems as well as the company and SC levels are ranked.

Social implications

– Implementation of a monitoring system and subsequent usage of the collected data may help to reduce negative external impacts on society and the environment.

Originality/value

– The field of SC performance management is still developing, with growing empirical work. Nevertheless this paper is one of the first attempts to carry out such an analysis focused on metrics and their usage. The survey instrument has been tested and can now be applied to other contexts.

Perishable food supply chain quality (PFSCQ)

Purpose

– The purpose of this paper is to provide a literature review of the perishable food supply chain quality (PFSCQ). It includes all the products/process from the farm to folk of perishable food (milk, meat, vegetable, grains and butter).

Design/methodology/approach

– The methodology of a structured literature review involves selection of a representative sample of articles followed by classification of articles on the basis of research methodology and content of PFSCQ in the paper.

Findings

– Research toward PFSCQ has risen in last five years. Fewer articles are addressing issues of developing countries then developed countries. Majority of the articles involved multiple as entity of analysis (combination of supplier, distributor, manufacturer, retailer and consumer), information as element of exchange and chain as the level of analysis. A large number of articles involved “agri-food,” “dairy” and “pork” as perishable products. Majority of articles used “case study” methodology. Statistical analysis as a tool for problem solving was used in majority of articles. Performance measurement aspect is also on growth in PFSCQ literature. Information sharing, logistic management, strategic management, demand forecasting and integration among the various stakeholders of PFSCQ are some of the critical issues.

Originality/value

– Many literature reviews that aim at critical examination of supply chain literature are reported but none of them focussed exclusively on content of PFSCQ. Another unique feature of this paper is that the sample size of articles with respect to number of papers (481 papers) as well as number of journals (141 journals) is quite large. The paper spans a longer time span of 20 years (1994-2013) as well.

Supply chain integration, information technology, market orientation and firm performance in container shipping firms

Purpose

– The purpose of this paper is to use a theoretical framework (i.e. resource-based view) to investigate causal relationships between the supply chain integration, market orientation, information technology (IT) application and firm performance of container shipping firms in Taiwan.

Design/methodology/approach

– The data are collected from 124 container shipping firms in Taiwan. The methodologies used in the paper are exploratory factor analysis, confirmatory factor analysis and structural equation modeling.

Findings

– The findings indicated that IT application and market orientation positively influence supply chain integration. It revealed that IT-based and market-oriented firms more easily integrate market information related to partners, departments and customers. Further, supply chain integration and market orientation have a positive effect on firm performance.

Research limitations/implications

– Such a result indicated a market-oriented firm quickly responds to market information and competitors’ strategies; and thus, it would make effort to offer satisfactory customer services in dynamically fluctuating markets, and obtain better firm performance. Also, the integration provides higher operation efficiency and obtains an enhanced performance improvement.

Practical implications

– The results also indicated that firms are able to develop their market-oriented strategies through electronic information transmission and exchange platform. Based on the study’s findings, managerial strategies are proposed to improve firm performance.

Originality/value

– This paper clarifies the concept of supply chain integration, market orientation and IT application in the context of container shipping, and investigates the inter-relationship between supply chain integration, market orientation, IT application and firm performance and develop a conceptual model in the context of container shipping.

Measuring retail supply chain performance

Purpose

– A growing body of literature has begun in the direction of supply chain performance measurement. However, selecting the appropriate set of key performance indicators (KPIs) for measuring supply chain performance have always remained a challenge. The purpose of this paper is to identify the KPIs and categorize them specifically for measuring retail supply chain performance.

Design/methodology/approach

– A qualitative approach, based on literature has been adopted. Published literature from refereed journals on supply chain performance measurement has been considered and various approaches for developing KPIs have been studied to develop a theoretical framework for performance measurement in retail supply chain.

Findings

– The paper identifies key indicators for performance measurement and classifies them into four major categories: transport optimization, information technology optimization, inventory optimization and resource optimization. These key indicators are arranged precisely for retail industry. A theoretical framework is proposed to link the performance of these constructs on financial performance of the firm.

Research limitations/implications

– Future research can be carried out to validate the relevance and applicability of identified indicators. The study can be further conducted to measure the interrelationships between the KPIs and their impact on financial performance of the firm.

Practical implications

– This study proposes a list of indicators for retail industry, which are presented in appropriate categories so that it can be used by the focussed teams for further improvement.

Originality/value

– To the best of authors’ knowledge, no other study has categorized the KPIs into groups, specifically for measuring retail supply chain performance. The researcher also intends to carry out further empirical study to test the proposed theoretical framework.

Proactive supply chain performance management with predictive analytics

Today's business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details. The paper also presents the supply chain semantic business intelligence (BI) model which encapsulates data sources and business rules and includes the data warehouse model with specific supply chain dimensions, measures, and KPIs (key performance indicators). Next, the paper describes two generic approaches for designing the KPI predictive data mining models based on the BI semantic model. KPI predictive models were trained and tested with a real-world data set. Finally, a specialized analytical web portal which offers collaborative performance monitoring and decision making is presented. The results show that these models give very accurate KPI projections and provide valuable insights into newly emerging trends, opportunities, and problems. This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment.

Novel measures for emission reduction in supply chains

Purpose

– The purpose of this paper is to look at how novel measures of supply chain performance can be used to identify unnecessary waste in terms of under-loaded vehicles and extended delivery times, along with their causes. In particular it focuses on problems that can be tackled without the need for capital expenditure. The measures go under the collective name of “turbulence”. This represents the chain deviating from its goals. Quantifying unnecessary waste then allows unnecessary carbon emissions to be estimated while pointing to what changes will have the biggest impact. The measures have been used by three companies and some early results are provided.

Design/methodology/approach

– The approach was first to use evidence from the literature to show the value of having a new measure. Next the creation of one specific new measure, called relative turbulence, a relative measure for the more general concept of turbulence. Third testing it in the field with data from companies. Then showing how carbon emissions can be derived.

Findings

– The first finding is that the analysis can pinpoint sources of unnecessary emissions. Second the results suggest excessive emissions arise both though poor planning and poor practice. Third that there is a need for two models – from the users’ viewpoint and the carriers’ viewpoint. Finally the approach can be used with field data that is currently available, thus avoiding expensive one-off studies.

Research limitations/implications

– The main research implication is that entropic measures are useful and can provide fresh insights. Being generic they may be applicable in other contexts. However, they can be mathematically tricky to use.

Practical implications

– The analysis has been tested in companies and findings are included in the paper. They provide an insight that is not available solely from current measures. Businesses cannot only measure emissions but start to pinpoint causes.

Originality/value

– The main areas of original contributions are in the introduction of a new measure, based on entropic principles, particularly the one called relative turbulence. The second is juxtaposing this measure with standard measures to gain new insights. Finally the idea that supply networks can be built from, what is called the irreducible chain.