Performance management process integration in retail supply chains

2015 ◽  
Vol 43 (7) ◽  
pp. 652-670 ◽  
Author(s):  
Helena Forslund
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Process Integration ◽  
Management Process ◽  
Manufacturing Companies ◽  
Affecting Factors ◽  
Content Type ◽  
Management Processes ◽  
Retail Supply Chains

Purpose – The purpose of this paper is to explore and generate propositions of factors that affect the degree of performance management process integration in retail supply chains. Design/methodology/approach – The performance management processes of two retail supply chains were explored and their degree of process integration was classified. Differences in the degree of performance management process integration and affecting factors lead to the generation of five propositions. Findings – Dependence, brand importance, business process integration, performance demand and the existence of a performance management standard seem to be positively related to the degree of performance management process integration in the relation. Both factors that affect process integration in general and performance management process integration specifically are included. Some insights on integration in a vertically integrated retail chain were provided. Research limitations/implications – This study has specified the knowledge in process integration to the performance management process and expanded it into a retail context. It has generated a number of propositions on factors that affect the degree of performance management process integration, including a factor that was not found in previous research on manufacturing supply chains. The contribution to process integration theory is however limited until the propositions are validated in a broader study. Practical implications – Knowledge in affecting factors is useful when “performance management managers” need to communicate integration ambitions with other managers within and outside their own company. The detailed descriptions of performance management processes and integration practices can serve as inspiring benchmarks, as in the daily groceries supply chain, where the industry standard is especially interesting. They can also indicate practices to avoid, as in the home textiles supply chain. Another managerial take-away is the need to handle each relation, manufacturer-wholesaler and wholesaler-retailer store, with their specific affecting factors in specific ways. Originality/value – Previous knowledge on performance management process integration is mainly based on manufacturing companies. This study expands existing knowledge into a retail context.

Propagation of risks and their impact on performance in fresh food retail

2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Measures ◽  
Theory And Practice ◽  
Food Retail ◽  
Content Type ◽  
Fresh Food ◽  
Retail Supply Chains ◽  
And Performance ◽  
Supply Chain Risks

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.

Digital product fitting in retail supply chains: maturity levels and potential outcomes

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmelie Gustafsson ◽  
Patrik Jonsson ◽  
Jan Holmström
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Potential Outcomes ◽  
Product Configuration ◽  
Maturity Model ◽  
Customer Requirements ◽  
Content Type ◽  
Digital Product ◽  
Retail Supply Chains ◽  
Fitting In

Purpose In retail, product fitting is a critical operational practice. For many products, the operational outcome of the retail supply chain is determined by the customer physically fitting products. Digital product fitting is an emerging operational practice in retail that uses digital models of products and customers to match product supply to customer requirements. This paper aims to explore potential supply chain outcomes of digitalizing the operational practice of product fitting. The purpose is to explore and propose the potential of the practice to improve responsiveness to customer requirements and the utilization of existing variety in mass-produced products. Design/methodology/approach A maturity model of product fitting is developed to specify three levels of digitalization and potential outcomes for each level. Potential outcomes are developed based on empirical data from a case survey of three technology-developing companies, 13 retail cases and a review of academic literature. Findings With increasing maturity of digital product fitting, the practice can be used for more purposes. Besides matching product supply to customer demand, the practice can improve material flows, customer relationship management, assortment planning and product development. The practice of digital product fitting is most relevant for products where the final product configuration is difficult to make to order, product and customer attributes are easily measurable and tacit knowledge of customers and products can be formalized using digital modeling. Research limitations/implications Potential outcomes are conceptualized and proposed. Further research is needed to observe actual outcomes and understand the mechanisms for both proposed and surprising outcomes in specific contexts. Practical implications The maturity model helps companies assess how their operations can benefit from digital product fitting and the efforts required to achieve beneficial outcomes. Originality/value This paper is a first attempt to describe the potential outcomes of introducing digital product fitting in retail supply chains.

An integrated AHP and ISO14000, ISO26000 based approach for improving sustainability in supply chains

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faisal Talib ◽  
Saheim K Josaiman ◽  
Mohd. Nishat Faisal
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Supply Chains ◽  
Design Methodology ◽  
Multi Criteria Decision Making ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process ◽  
Practical Implications

PurposeTypically, adoption of sustainability in organizations are often done in an unstructured way without the consideration of other partners in the supply chain. The purpose of this paper is to suggest a coherent plan to improve sustainability in the supply chains utilizing ISO standards for environment and social responsibility.Design/methodology/approachThis paper draws on literature on ISO14000 and ISO26000 to derive a set of variables applicable to supply chains, which are then prioritized for real organizations utilizing analytic hierarchy process.FindingsThe findings highlight that not all the variables of environmental, social and economic responsibility are equally important. Besides, the work reported in this paper justifies the application of multi-criteria decision-making (AHP) to prioritize elements of sustainability in context supply chains. The suggested method is illustrated using inputs from large manufacturing companies in Qatar.Practical implicationsISO14000 and ISO26000 are well known standards; however, there was no effort to integrate these standards to improve sustainability in supply chains. The suggested methodology provides invaluable help to the managers to implement sustainability in a coherent manner across the supply chain.Originality/valueThe research contributes to the extant literature by proposing a new methodology based on the integration of three-approaches: Analytic Hierarchy Process, ISO14000 and ISO26000 systems.

Exploring the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains

2020 ◽  
Vol 27 (5) ◽  
pp. 1717-1737
Author(s):  
Reza Salehzadeh ◽  
Reihaneh Alsadat Tabaeeian ◽  
Farahnaz Esteki
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Competitive Performance ◽  
Content Type ◽  
Forecasting Methods

PurposeThe purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.Design/methodology/approachWorking with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).FindingsOur findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.Originality/valueThis research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.

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

2016 ◽  
Vol 23 (6) ◽  
pp. 1398-1422 ◽  
Author(s):  
Luís Miguel D. F. Ferreira ◽  
Cristóvão Silva ◽  
Susana Garrido Azevedo
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Balanced Scorecard ◽  
Environmental Performance ◽  
Supply Chain Performance ◽  
Content Type ◽  
Proposed Model ◽  
Novel Model

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.

scholarly journals Humanitarian supply chain performance management: a systematic literature review

2014 ◽  
Vol 19 (5/6) ◽  
pp. 592-608 ◽  
Author(s):  
Hella Abidi ◽  
Sander de Leeuw ◽  
Matthias Klumpp
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Performance Measurement ◽  
Supply Chains ◽  
Performance Management ◽  
State Of The Art ◽  
The State ◽  
Content Type ◽  
Humanitarian Supply Chains ◽  
Humanitarian Supply Chain

Purpose – This paper aims to identify the state of the art of performance measurement and management in humanitarian supply chains; to categorize performance measurement indicators in the five supply chain phases of Gunasekaran and Kobu (2007) and evaluate them based on the evaluation criteria of Caplice and Sheffi (1995); and to define gaps and challenges in this field and give insights for future research in this domain. Design/methodology/approach – A literature review has been conducted using a structured method based on Denyer and Tranfield (2009) and Rousseau et al. (2008). The state of the art on humanitarian supply chain performance management with a focus on measurement frameworks and indicators and their applications in practice is classified in three categories. The first category is the definition and measurement of success in humanitarian supply chains. The second category is managing performance, which focuses on describing and analyzing the actual practice of managing performance. The third category shows the challenges in performance management that humanitarian supply chain actors deal with. Findings – Findings reveal that performance measurement and management in humanitarian supply chains is still an open area of research, especially compared to the commercial supply chain sector. Furthermore, the research indicates that performance measurement and management in humanitarian supply chains has to be developed in support of the supply chain strategy. Based on the findings of the literature review on performance measurement and management in the commercial and humanitarian field, a first classification of 94 performance measurement indicators in humanitarian supply chains is presented. Furthermore, the paper shows key problems why performance measurement and management systems have not been widely developed and systematically implemented in humanitarian supply chains and are not part of the supply chain strategy. The authors propose performance measurement guidelines that include input and output criteria. They develop a research agenda that focuses on four research questions for designing, deploying and disseminating performance measurement and management in humanitarian supply chains. Practical implications – The result helps the humanitarian supply chain community to conduct further research in this area and to develop performance measurement frameworks and indicators that suit humanitarian supply chains. Originality/value – It is the first systematic approach to categorize research output regarding performance measurement and management in humanitarian supply chains. The paper shows the state of the art in performance measurement and management in humanitarian supply chains and develops a research agenda.

Development of a supply chain risk index for manufacturing supply chains

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aswin Alora ◽  
Mukesh K. Barua
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Emerging Market ◽  
Risk Index ◽  
Fuzzy Topsis ◽  
Extensive Literature ◽  
Manufacturing Companies ◽  
Supply Chain Risk ◽  
Content Type ◽  
Supply Chain Risks

PurposeThe purpose of this paper is to identify, classify and prioritize supply chain risks faced by Indian micro small and medium manufacturing companies and to develop a comprehensive supply chain risk index.Design/methodology/approachPrimary data has been collected from 354 Indian micro small and medium enterprises on the different supply chain risks faced by them. An extensive literature review followed by expert's interview has been carried out in order to finalize the supply chain risks. A hybrid methodology consists of AHP and Fuzzy TOPSIS is applied for the data analysis. A sensitivity analysis has been done to check the robustness and consistency of the results.FindingsResults depict the importance of supply side and financial side risks faced by manufacturing supply chains, thus adding to the ongoing academic debate on the importance of supply chain finance solutions.Research limitations/implicationsStudy is limited to the scope of an emerging market. Generalization of results needs more systematic studies around the world in different supply chains.Practical implicationsSupply chain managers can consider the benchmark framed in this study in order to identify the health of their supply chain and to efficiently employ supply chain risk management strategies.Originality/valueThe current study is novel in developing a supply chain risk index using a hybrid AHP-Fuzzy TOPSIS methodology with a comprehensive list of 26 supply chain risks under 5 categories for an MSME supply chain. To the best of the authors’ knowledge, this is the first study incorporating financial risks in the development of a supply chain risk index.

Socially responsible supply chain initiatives and their outcomes: a taxonomy of manufacturing companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fernando Gonçalves Picasso ◽  
Cristiane Biazzin ◽  
Ely Laureano Paiva ◽  
Raul Beal Partyka
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Design Methodology ◽  
Manufacturing Companies ◽  
Socially Responsible ◽  
Content Type ◽  
Manufacturing Plants ◽  
Country Level ◽  
Manufacturing Organizations ◽  
Compare And Contrast

Purpose This paper aims to propose a taxonomy based on socially responsible practices across supply chains. The authors compare and contrast different socially responsible initiatives in manufacturing supply chains and their effect on economic performance, socially responsible outcomes and manufacturing costs. Design/methodology/approach This study is based on survey data collected in 262 manufacturing plants located in 15 countries. Cluster analysis is conducted to develop the research taxonomy. Moreover, socially responsible initiatives were compared on a country level. Finally, multiple regressions were performed to identify associations between performance, manufacturing and socially responsible variables. Findings The taxonomy was constructed based on four socially responsible corporate dimensions (legal, ethical, discretionary and economic). The results identified three clusters of manufacturing organizations that adopt different approaches to socially responsible initiatives across supply chains and their performance. Originality/value Previous studies explored the elements and the impacts of the go-no-go decisions in the intersection between CSR and the supply chain. The present study brings new insights by analyzing how socially responsible initiatives in supply chains and their performance are different. Moreover, the sample encompasses 15 countries, and it proposes a taxonomy and directions to support the managers’ decision-making process.

Performance measures and metrics for e‐supply chains

2009 ◽  
Vol 22 (3) ◽  
pp. 346-360 ◽  
Author(s):  
Murali Sambasivan ◽  
Zainal Abidin Mohamed ◽  
Tamizarasu Nandan
Keyword(s):  
Supply Chain ◽  
Focus Group ◽  
Supply Chains ◽  
Focus Group Discussion ◽  
Group Discussion ◽  
Reliability And Validity ◽  
Document Management ◽  
Manufacturing Companies ◽  
Content Type ◽  
Component Manufacturing

Purposee‐Supply chains are fast becoming a reality. In order to manage such supply chains efficiently and effectively, traditional measures of supply chain performance are not adequate. The literature search revealed lack of measures and metrics for e‐supply chains. The purpose of this paper is to develop new measures and metrics for monitoring the performance of e‐supply chains.Design/methodology/approachA framework based on the benefits of e‐supply chains has been used to develop the metrics and measures. The study makes use of focus group discussion by assembling eight experts and practitioners in the field of e‐supply chain to come up with the measures and metrics. A questionnaire is designed with these measures and metrics and is sent to about 300 electronic component manufacturing companies in Malaysia to obtain feedback from the industry practitioners. Appropriate reliability and validity tests are conducted to measure the reliability of the instrument and validity of the constructs.FindingsThrough the focus group discussion, this study identifies six metrics and 21 measures. Further validation through the industry practitioners, reveals that these measures are important and some are in use by the industries. The six metrics are: web‐enabled service, data reliability, time and cost, e‐response, invoice presentation and payment and e‐document management metrics.Originality/valueThe study uses a simple framework and a sound methodology to develop new measures and metrics that are relevant for e‐supply chains.

Modelling complexity in retail supply chains

Kybernetes ◽  
2016 ◽  
Vol 45 (2) ◽  
pp. 297-322 ◽  
Author(s):  
Esra Ekinci ◽  
Adil Baykasoglu
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Supply Chains ◽  
Information Sharing ◽  
Performance Measures ◽  
Dynamics Simulation ◽  
Type Analysis ◽  
Content Type ◽  
Retail Supply Chains ◽  
And Performance

Purpose – The purpose of this paper is to describe the characteristics of complexity and how a retail supply chain can contain complexity in itself. A case has been provided to show the measurement of complexity with/without information sharing and the relation of complexity with the performance measures. Quantification of the complexity will help the practitioners to take strategic actions. Design/methodology/approach – System dynamics simulation has been used to model the retail supply chain with and without information sharing and data visibility. Entropy-based metric used for quantification and comparison of complexity based on the outputs of the models. Performance measures proposed for the retail supply chains to understand the effect of data visibility. Findings – Paper provides insight about the complexity of retail supply chain perspective. Using system dynamics modelling can be a useful way to perform what-if type analysis before business process changes. Including both complexity and performance measures can be useful to understand if the complexity is good or bad for the business and if it is in manageable amount. Research limitations/implications – Paper can encourage the future research on retail supply chains. Practical implications – Approach can be useful to analyse what-if type analysis in practice easily. It can support strategic decision making process. Originality/value – Combines retail supply chain with complexity and performance measurement.

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