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The aim of this study is to develop a framework for measuring of service supply chain (SSC) maturity process.

The main framework of the SSC maturity was developed by reviewing the concepts and models of SSC, business excellence, maturity and supply chain performance evaluation. Then, the maturity level of each excellence criterion was defined in the proposed model by using the excellence criteria for SSC and the concept of Plan, Do, Check and Act (PDCA) cycle in combination with the process survey tools maturity model. Based on the excellence criteria and their maturity levels, a questionnaire was designed to practically measure the proposed framework.

The concepts and features of maturity levels defined for each of the excellence criteria were used to implement and operationalize the proposed framework and evaluate the SSC processes.

Through the assessment of the existing status of SSC processes, the findings allow managers to reach a better understanding of the strengths and weaknesses of such processes. Then, some opportunities are provided for improving each excellence criterion to enhance the performance of each process.

In fact, this study provides guidelines for organizations to measure their progress and performance and improve their management systems. The main advantages of the proposed SSC measurement framework include self-assessment facilitation, calculation of criteria scores and development of uses. The proposed model, like quality and productivity awards, can pave the way for increased competitiveness of the service industry.

This research aims to develop a supply chain maturity model so that Mexican firms can evaluate their current supply chain operations and develop an improvement road‐map.

The Delphi Method was used with 80 experts in Mexico. The Delphi Method gathers multiple perspectives on supply chain operations and delineates a path to reach a group consensus. The results lead to the specification of a supply chain maturity model S(CM)². S(CM)² is validated through experimentation and a pilot test to verify the ability of the model to help managers assess the supply chain processes of a firm by identifying their maturity level in each model viewpoint. A pilot test with a Mexican firm demonstrates the practical implementation of the model.

The research results in a meta‐model, called the supply chain maturity model S(CM)², that describes supply chain maturity at five levels across multiple competency areas, and provides guidance to specify an improvement plan.

The meta‐model was developed in Mexico and may not apply to the operations of supply chains in other countries. Additionally, the large scope of the meta‐model calls for further testing and refinement.

The research provides a means for firms to evaluate their supply chain operations and develop improvement plans.

The paper contributes by integrating the ideas of reference frameworks, capability maturity models, and improvement processes and demonstrates how a holistic meta‐model can be developed to evaluate supply chain operations.

The purpose of the paper is to investigate the relationship between supply chain maturity and performance, with specific references both to the business process orientation maturity model and to the supply chain operation reference model.

Quantitative, survey based research was carried out with 478 Brazilian companies. Statistical analysis combined the use of descriptive statistics and structural equation modeling.

Empirical results indicate a strong and positive statistical relationship between supply chain maturity and performance. The results also suggest that the deliver process maturity has a higher impact on overall performance than the other supply chain processes.

Quantifying supply chain maturity and performance is an opportunity for a company to align its performance measurements and process improvement actions with its broader policies and strategies. The use of this approach has been validated in several previous research studies in organizational self‐assessment and business management.

Maturity models are valuable frameworks for corporate leadership. This study provides solid statistical evidence that a company that has achieved a higher maturity level and implemented the maturity factors also has achieved superior performance. It also validates the application of these specific maturity factors in South America, specifically Brazil.

This paper confirms and expands upon earlier research suggesting higher levels of process maturity were related to superior performance. This paper also examines the evolution of performance measurement systems, moving from a traditional approach to a more process oriented perspective by reporting on the origins of maturity models and presenting the main empirical contributions through the use of the business process maturity model and supply chain operation reference model.

The current research aims to investigate the relationship between supply chain (SC) processes maturity and SC performance in the context of an emerging market (i.e. Morocco). Based on the SCOR model, the authors propose and test a thorough conceptual framework in which information systems moderates the relationship between SC processes maturity and performance. The effects of firm age and size are also taken into account.

Based on data collected from 175 top and middle managers using self-administered questionnaires, the authors empirically assessed the conceptual model using a partial least squares (PLS) estimation.

The study's findings demonstrate that SC processes maturity has a significant effect on SC performance. Second, information systems act as a moderator in the relationship between SC maturity and performance, e.g. the impact of supply chain processes maturity on supply chain performance measures is stronger in the presence of information systems support. Ultimately, firm size and age were found to have no significant impact on supply chain performance.

The study's findings help SC managers to better understand how SC maturity contributes to SC performance. A firm effectively executing maturity factors in its SC processes is more likely to achieve a better SC performance. The authors also established the key role of information systems in strengthening the impact of SC maturity on performance. SC managers should capitalize on the use of information systems to achieve superior SC performance.

The present research bridges a gap pertaining to the impact of supply chain maturity on SC performance, particularly in emerging markets. It is the first of its kind to investigate the influence of SC maturity on SC performance the context of emerging markets.

A globalized world demands proactive tactics from organizational supply chains. Companies should be capable of mitigating the impacts of natural and manmade disasters, which requires that they understand their stages of maturity and resilience. This study develops a theoretical model of the relationship between maturity and resilience, seeking to guide decision-making about aligning these two concepts.

A systematic literature review was conducted to identify the constructs that form the basis for our proposed maturity and resilience model.

The authors identified the key constructs related to maturity and resilience by analyzing the existing literature and selected 13 constructs and 3 maturity stages to construct our maturity and resilience model.

This research contributes to the supply chain management literature, especially that involving the themes of maturity and resilience. It can encourage research to develop future empirical research in the field to validate and overcome the limitations of the initial model the authors propose.

The authors’ proposed model supports supply chain managers in establishing strategies to increase resilience based on the maturity of the chains they manage, enabling them to face crises such as the coronavirus disease 2019 (COVID-19) pandemic.

The model presents a holistic view of maturity and resilience in supply chains contributing to supply chain theory by examining the alignment between the two themes.

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.

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.

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.

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.

The maturity model helps companies assess how their operations can benefit from digital product fitting and the efforts required to achieve beneficial outcomes.

This paper is a first attempt to describe the potential outcomes of introducing digital product fitting in retail supply chains.

The purpose of this research is to determine the convenience of using a contract model as an integration mechanism for decision-making in a decentralized supply chain of small agricultural producers in a developing country, taking as hypothesis coordinated chain achieves better management. The analysis is based on information obtained by direct inquiry to 99 small producers in the region, about planning, production, marketing and distribution in the chain, supplemented with secondary information sources.

As a methodology an analysis of maturity in the chain based on the Capability Maturity Model Integration is done, whose evaluation is later analyzed as a fuzzy logic model, with the support of the fuzzy logic of the MATLAB toolbox, to study the convenience of the use of the contract against the other mechanisms, and to establish an approximation to the level of readiness of the chain toward integration.

Results obtained show that the small farmer supply chain studied, from a maturity perspective, has a strong disposition for the use of contracts as an integration mechanism.

The supply chain for small producers presents a high dispersion, little consolidated offer capacity and lack of coordination. Limitations in terms of information and criteria unification are a challenge for future research. Results have socioeconomic implications for small producers and can serve as a guide to formulate policies by the governments in Latin American countries.

As practical implications, it can be stated that the use of supply contracts is a real mechanism that can be implemented in this type of chain, to break the mistrust between the echelons and improve the supply chain performance. This research will allow to establish support programs from local governments for the sustainability and improving income of small producers. In addition, contracts will allow to formalize the linkage of small producers to a sustainable commercial network.

Small agricultural producers in developing countries live in unfavorable conditions, with socioeconomic limitations. This work offers an alternative for their productive activity development that will allow them access to marketing chains in a safe way and improve their living conditions.

Previous studies related to the maturity toward the chain integration and fuzzy logic as a hybrid methodology, were not found in the literature, and less even applied to a chain of small agricultural products.

This study aims to propose a framework for identifying and measuring the gaps between evaluation and goal setting in service supply chain (SSC) processes towards planning and development of sustainable tourism aligned with the firm's real conditions and capabilities.

By the concept of the service quality gap model, the existing gaps between auditors' evaluation and the managers' goals in SSC processes maturity were examined. Then, each of the designed gaps was measured considering the goals addressed by managers’ and auditors' evaluation. Finally, the strategy and priority of sustainable tourism planning and development were determined based on importance–performance analysis (IPA).

The gaps caused by the expectations and perceptions of the firm about the dissatisfaction of managers regarding their addressed goals and the evaluation of auditors in the planning and development of sustainable tourism can be classified into three categories of goals gap, assessment gap and main gap. To improve the performance of the firm in each of the evaluation criteria under the results of IPA analysis, solutions were provided.

Realistic evaluation and recognition of the capabilities of the organization's processes through the proposed framework can be effective in goal setting and sustainable tourism development policies.

The framework proposed in this study can be a suitable approach for the balanced growth of all aspects of the firm in planning and developing sustainable tourism and helps firms in setting the right and logical goals.

The purpose of this paper is to propose a supply chain risk management (SCRM) maturity model combined with a fuzzy TOPSIS classification method to evaluate and sort an organization into a pre-defined maturity level.

An axiomatic and prescriptive research method guided this study. Therefore, it proposes a prescriptive approach of maturity classification based on a theoretical SCRM maturity model combined with a multi-criteria decision technique.

The results of a pilot application indicated a consistent classification and the value of the model for diagnosing flaws and pointing directions for improving operational and disruption risk management. Its comprehensiveness allows applying it to supply chains of several industry sectors.

The proposed model does not include all possible risks and could be revised in further developments. Also, adjustment of the maturity profiles of the multi-criteria decision-making (MCDM) model requires a learning process from practical applications.

The adoption of the risk management maturity grid by practitioners may bring the benefit of a more objective and comprehensive evaluation of risk management processes in the supply chain context.

An immediate social implication derives from the improvement actions that may result from the diagnosis of risk management vulnerabilities identified in the pilot application. In general, the proposed model has the potential to reduce risks, improve results and contribute to economic sustainability.

The maturity grid and decision model integrate overall aspects of risk management, bringing together managerial concepts to deal with a variety of supply chain operational risks. The combined multi-criteria classification procedure to sort the maturity level of an organization is also a novelty.

The concept of process maturity proposes that a process has a lifecycle that is assessed by the extent to which the process is explicitly defined, managed, measured and controlled. A maturity model assumes that progress towards goal achievement comes in stages. The supply chain maturity model presented in this paper is based on concepts developed by researchers over the past two decades. The Software Engineering Institute has also applied the concept of process maturity to the software development process in the form of the capability maturity model. This paper examines the relationship between supply chain management process maturity and performance, and provides a supply chain management process maturity model for enhanced supply chain performance.