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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.

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.

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%).

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.

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.

This paper aims to identify and assess global risks in the supply chain performance.

First, global risks are identified and classified according to three criteria: content, probability and context. A set of supply chain performance indicators are then defined by the theory of resource-based view and balanced scorecard. Structural equation modeling is adopted to access risks in the global supply chain.

This article contributes to the supply chain risk management literature by providing a detailed operationalization of global supply chain risk constructs, e.g. natural disasters, war and terrorism, fire accidents, economic and political instability, social and cultural grievances, decease. Empirical results reveal that the supply chain is predominantly regarded as being vulnerable as the proposed model of risks can explain up to 12.6% variance of supplier performance, 25.2% innovation and learning, 23% internal business, 40.6% customer service and 32.4% finance.

These risks are relevant contextual variables in strategic supply chain decisions. Supply chain managers should keep in mind acceptable cost/benefit tradeoffs in their firms' mitigation efforts associated with major contingency risks. This research advocates the allocation of scarce resources to adopt the supply chain strategies of avoidance, speculative and postponement.

The application of the strategic content/process/context to explain global supply chain performance is an interesting approach. Moreover, globalization trends and the COVID-19 perspectives are considered to be the main reasons for increasing such complex factors. Data on validating research models collected during the COVID-19 pandemic reflect the topicality of this study.

The research objective is rooted in the principle of providing new insights and a collective perspective regarded as Supply Chain Quality Management 4.0 (SCQM4.0), an integration of all three concepts – Industrie 4.0, quality management and supply chain management.

A thorough review of historical developments and existing integration trends among Industrie 4.0, quality and supply chain approaches along with future research directions outlined in the main literature, was conducted. This work establishes a knowledge base on research topics, issues of integration and synergies with a concentration on the potential for deeper integration with supply chain operations.

This article not only introduced the term SCQM4.0 and proposed a definition for it, but also contributed a novel conceptual SCQM4.0 framework and evolutionary perspective through the SCQM4.0 maturation model. Stemming from the gaps, opportunities and benefits identified in the literature, the conceptual SCQM4.0 framework builds on the high potential of the SCQM4.0 constructs to achieve successful governance and implementation. Under the SCQM4.0 maturity framework, it provides a clear evolutionary path underpinned by the SCQM4.0 constructs.

In the effort toward a successful SCQM4.0 implementation, the proposed SCQM4.0 maturity frameworks will be a “road map” for businesses to develop fully and actively in supply chain operations, bringing quality products and services for the company. Industry practitioners are encouraged to perform gap analysis and direct the implementation of the strategy to establish an excellent SCQM4.0.

This is one of the pioneering studies integrating all three concepts (Industrie 4.0, quality management and supply chain management), connecting the link and discovering more synergies to support the future development of more holistic management models. SCQM4.0 is expected to expand on the strengths, synergies and established relationships between technologies 4.0, quality and supply chain, contributing toward a pioneering and quality supply chain.

This paper aims to present and discuss an innovative maturity model (MM) to assess supply chain quality management (SCQM). The SCQM MM can be used to guide organizations in the development and improvement of quality in their supply chains (SCs). Additionally, this paper intends to better understand that integration and its impacts on organizational performance.

The proposed MM was developed based on an exhaustive literature review of the most relevant MMs developed in the areas of quality management, supply chain management and other relevant domains.

The proposed MM consists of a matrix with 100 criteria organized in five organizational dimensions and five maturity levels, embracing the most relevant SC issues and describing a progressive path towards a state of full maturity.

It is an innovative tool useful for both academic experts and practitioners to integrate quality management across the SC, thus promoting and improving organizational performance from an integrated and sustainable perspective.

In this paper, Supply Chain Quality Management dimensions are empirically tested in order to understand their impact on the organization performance based on the Balanced Scorecard perspectives.

In order to validate the theoretical model proposed, an empirical study was carried out, supported by a large-scale questionnaire and statistical analysis.

Results show that all the Supply Chain Quality Management dimensions have a significant positive correlation in the four Balanced Scorecard performance perspectives. Product/service quality and quality culture dimensions were the ones that presented the highest average scores. No significant differences were detected in any dimension for the different regions considered in this study.

The present research can help companies to achieve a better performance in the analyzed perspectives: customer, financial, internal process, and learning and growth. This work also contributes to the existing body of knowledge on Supply Chain Quality Management, analyzing its impact on organization performance, considering a more embracing perspective.

The purpose of this paper is to create an online enterprise community for all logistics employees of Bosch Car Multimedia division in the Bosch Group, for an internal collaboration of the entire Bosch Group based on an IBM Connections platform: Bosch Connect. An additional concern, collected throughout the project, was to bring employees to join the platform, making it a tool of your daily work. The final objective is to implement and promote a tool to foster internal and external integration of the Bosch logistics community.

A case study is presented to illustrate the use of a Design for Six Sigma (DFSS) methodology to support all the process creation of a collaborative community. There are several variants of the methodology DFSS. For the context of this project, will be used the define, measure, analyze, design and verify (DMADV) methodology, that is appropriated to design services processes and it addresses specifically to the remodeling processes.

The use of DMADV methodology allows establish, systematically, a model which was in accordance with the target population needs.

Since this is a case study, it is not possible to generalize the results. Furthermore, this project was developed in a limit time (about four months). Thus, was not possible to obtain a large community.

The case study brings some evidence of how a systematic approach to the design of a online enterprise community can support designers to meet user’s needs.

A new approach is proposed to meet an online enterprise community user’s needs.

To the best of the authors’ knowledge, there is no evidence the use of this methodology to support a construction of an online enterprise community.

The purpose of this paper is to explore the concept of supply chain quality management (SCQM) and to propose a research model that considers the impact of SCQM practices on firm performance.

Based on a comprehensive literature review, SCQM most relevant practices were analyzed and selected. These practices were categorized into four dimensions: upstream (supplier assessment, supplier quality management (QM)), downstream sides of a supply chain (customer focus), internal process (product/service design, process management and logistics) and support practices (top management support, human resource management, information and supply chain integration). The measurement instrument of firm performance was also developed, including three aspects: operational performance, customer satisfaction and financial performance.

An innovative conceptual framework that provides a comprehensive picture covering core dimensions of SCQM and various aspects of firm performance was proposed. This conceptual framework can be used as “a guideline” for theory building and measurement instrument development of SCQM and firm performance. More importantly, on the road to gain a further insight, an extensive structural model that identifies direct and indirect relationships between SCQM and firm performance was also developed. Practitioners/managers can apply this model as “a road map” for implementing SCQM practices.

It is necessary to test the rationality of these models by using empirical studies in different contexts.

The integration of quality and supply chain management still remains limited in the literature. Therefore, it is necessary to have a more focussed approach in assessing QM issues within the internal and external supply chain contexts. This study concentrates on the practices which improve quality aspects of the supply chain, known as SCQM practices. Proposed research models in this paper not only fill out the voids in the literature, but also contribute with conceptual frameworks for theory building in SCQM and firm performance. The authors also expect that this research can offer a useful guidance for measuring and implementing SCQM practices as well as facilitate further studies in this field.

This research aims to specialise in the investigation of risk management for service-oriented manufacturing supply chains via two stages, highlighting its differences from manufacturing. The research article is commenced by executing an encyclopedic review of earlier research to ascertain the distinctive traits of service-oriented manufacturing supply chains and identify prevalent risks. Secondly, an empirical study in the construction field, amongst the industry hardest struck in the mist of the COVID-19 epidemic, is conducted to thoroughly inspect the resonant effect of these risks on service-oriented manufacturing supply chain performance.

In this study, to validate the resonant effect mechanism, a thorough assessment is undertaken by juxtaposing theoretical model to a newly constructed comparative model that encompasses the single effects of risks on supply chain performance.

63% variance of service-oriented manufacturing supply chain performance was showcased by the resonant effect model, compared with 46.3% in the comparative model. Moreover, each risk exerts a more glaringly significant impact on supply chain performance, asserting the mechanism of the resonant influence. Another noteworthy result involves the demand risk possessing a low effect on supply chain performance, thus emphasising the superiority of service-oriented manufacturing supply chains.

Future research endeavours should hinge on the optimal “resonant” model explosion, thereby foreseeing and alleviating worst-case scenarios to guarantee the robustness and resilience of supply chain networks.

Indubitably, reducing the intensity of the resonant effect revolves around lowering the coefficient of “a,” thereby restricting/eliminating the link among risks. Therefore, the suggested resonant impact model might thus serve as “a road map”. In light of the aforementioned considerations, it is advisable that supply chain executives employ supply chain management tactics namely avoidance, prediction, and postponement, but only after meticulous consideration the costs and benefits of adopting such strategies.

The service-oriented manufacturing supply chain features and advantages have been analysed and explained throughout the article. The data gathered during the COVID-19 pandemic is a captivating and topical point of this paper.

Due to the warming at the automotive market in the last years and consequently the growth of vehicle production has been moved and placed emphasis on the segment. In recent years, some have known, for example, as the earthquake that struck Japan in 2011 was able to disrupt the suppliers of the country. Due to these events, supply chain risk management has become essential to the supply chain operations success. The purpose of this paper is to evaluate the supplier’s systematic selection at the automotive industry compared with the identified models in the literature.

A case study applied at the automotive to propose a method for selecting suppliers considering the risk management.

These results indicate that the organization has established criteria for suppliers selection, this systematic aims to identify the potential risks in the supply chain before the supplier award the project but it’s also the current practice can be improved using as reference the comparative method as applied in this study.

The risk management, a few discussed topic but on the rise among researches, show that the companies, especially those inserted in the automotive segment has been used different techniques for selecting suppliers to focus in a better supply chain control. Establish criteria for selecting suppliers means identifying in advanced the potential risks that the suppliers may offer to the organization during the supply to avoid any interruptions to supply.