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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.

The purpose of this paper is to develop a theoretical basis for integration of quality management (QM) and supply chain management (SCM). For that purpose, some common practices of both approaches are identified as having impact on the four balanced scorecard perspectives.

The main concepts of SCM and QM were reviewed from the literature in order to develop key practices that are common to both approaches.

The findings suggest that the synergies of QM and SCM can promote the integration of the approaches which will promote a set of significant organizational benefits.

This study focuses on the integration of QM and SCM through their common practices. This issue has not been broadly explored and for that reason this paper contributes to the understanding of the critical factors for an effective integration of supply chain QM.

The purpose of this paper is to provide an empirical evidence about the relationship between practices of supply chain management (SCM) and operational performance (OP).

Based on a comprehensive literature review, a set of SCM practices has been identified and selected to develop a conceptual model as well as to establish their relationship to companies’ OP. The measurement scales of the practices were developed in four steps: identification and development of initial instrument; personal interviews and Q-sort; large-scale data collection; and large-scale analysis in order to ensure unidimensionality, reliability and validity. Structural equation modeling was used to validate the model with the data were collected in Vietnamese garment enterprises.

The study consolidated relationships between the SCM practices and OP. According to the research results, these practices have a “resonant” influence on OP that can explain 52.6 percent variance of this output concept. In particular, customer focus and supplier management both direct and indirect impact on OP while top management support and process control/improvement only have indirect and direct influences on OP, respectively.

There are some limitations that can guide academics to new lines of future research: to extend the scope of the survey to include different countries and new situations, so results can be generalized; to consider the impacts of the SCM practices on the entire supply chain performance; and to explore additional factors that can further explain OP, such as operational environment, capital, technology, human resource, etc.

The authors suggest that the SCM practices should be implemented as an integrated system rather than independent practices, in which they interact with each other and improve OP.

The empirical results of this study provide an evidence to consider the SCM practices as reliable predictors for OP. According to the research, these practices interact with each other and have both direct and indirect effects on OP. In other words, through the mutual interaction among the SCM practices, they have the “resonant” influence on improving OP. Moreover, the proposed research model analyzing the relationship among SCM practices and OP and its validation using the Vietnam garment industry provided valuable insights both from theoretical and practical perspectives.

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.

A single supply chain management (SCM) practice will have a certain impact on organizational performance (OP). However, since it is placed in a system that many other practices are conducted simultaneously, the practice itself will interact with other ones (i.e. affect/be affected). As a consequence, the efficiency of the affected practice is increased and it is expected to maximize the impact of SCM practices on OP. This mechanism is named the “resonant” influence that is a new approach in the SCM literature. The purpose of this paper is to test the above mechanism toward an insight into the relationship between SCM and OP.

Two models were compared: the competitive models only exist in direct effects; and the other contains relationships between practices that are able to show the mechanism of the resonant influence, i.e. the hypothetical model. A data set gained from Vietnamese garment enterprises was used to validate the mechanism of the resonant influence.

Empirical evidence from Vietnamese garment sector showed that the competitive models could explain 42.8, 26.3 and 34 percent variance of operational performance, customer satisfaction and financial performance, respectively. In the meantime, the hypothetical model containing the resonant influence is capable to explain 69.5, 33.1 and 57.3 percent. For the impact of each SCM practice on OP, all relationships in the hypothetical model are also greater than those in competitive ones. These results supported the mechanism of the resonant influence.

This research provides an insight into the relationship between SCM practices and OP. By the resonant influence, the effectiveness of each affected SCM practice itself is magnified and OP is also increased remarkably.

Understanding the resonant influence, companies can apply this mechanism to enhance effectiveness of SCM practices at the lowest cost. To this end, the SCM practices should be implemented simultaneously as an integrated system rather than independent ones and the structural model proposed in this study is able to be used as “a guide map” for applying this mechanism.

This is one of pioneer empirical studies in the SCM literature that proposed and validated the concept of “resonant influence.”

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.

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.

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.