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This paper aims to develop a numerical, micromechanical model to predict the evolution of autogenous shrinkage of hydrating cement paste at early age (up to 7 days). Autogeneous shrinkage can be important in high-performance concrete characterized by low water to cement (w/c) ratios. The occurrence of this phenomenon during the first few days of hardening may result in early-age cracking in concrete structures. A good prediction of autogeneous shrinkage is necessary to achieve better understanding of the mechanisms and the deployment of effective measures to prevent early-age cracking.

Three-dimensional digital microstructures from the hydration modelling platform μic of cement paste were used to simulate macroscopic autogenous shrinkage based on the mechanism of capillary tension. Elastic and creep properties of the digital microstructures were calculated by means of finite element (FE) method homogenization. Autogenous shrinkage was then estimated as the average hydrostatic strain resulting from the capillary stress that was globally applied on the simulated digital microstructures. For this estimation, two approaches of homogenization technique, i.e. analytical poro-elasticity and numerical creep-superposition were used.

The comparisons of between the simulated and experimentally measured deformations indicate that the creep-superposition approach is more reasonable to estimate shrinkage at different water to cement ratios. It was found that better estimations could be obtained at low degrees of hydration, by assuming a loosely packed calcium silicate hydrates (C-S-H) growing in the microstructures. The simulation results show how numerical models can be used to upscale from microscopic characteristics of phases to macroscopic composite properties such as elasticity, creep and shrinkage.

While the good predictions of some cement paste properties from the microstructure at early age were obtained, the current models have several limitations that are needed to overcome in the future. Firstly, the limitation of pore-structure representation is not only from lack understanding of C-S-H structure but also from the computational complexity. Secondly, the models do not consider early-age expansion that usually happens in practice and appears to be superimposed on an underlying shrinkage as observed in experiments. Thirdly, the simplified assumptions for mechanical simulation do not accurately reflect the solid–liquid interactions in the real partially saturated system, for example, the globally applying capillary stress on the boundary of the microstructure to find the effective deformation, neglecting water flow and the pore pressure. Last but not least, the models, due to the computational complexities, use many simplifications such as FE approximation, mechanical phase properties and creep statistical data.

This study holistically tackles the phenomenon of autogeneous shrinkage through microstructural modelling. In a first such attempt, the authors have used the same microstructural model to simulate the microstructural development, elastic properties, creep and autogeneous shrinkage. The task of putting these models together was not simple. The authors have successfully handled several problems at each step in an elegant manner. For example, although several earlier studies have pointed out that discrete models are unable to capture the late setting times of cements due to mesh effects, this study offers the most effective solution yet on the problem. It is also the first time that creep and shrinkage have been modelled on a young evolving microstructure that is subjected to a time variable load.

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.

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.

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.

A risk, when it occurs, causes negative effects on outputs. Typically, risks are not independent as multiple risks occur simultaneously. The purpose of this paper is to compare the impact various risks have on the performance of manufacturing-oriented and service-oriented firms from a supply chain (SC) perspective.

First, SC risks were identified and classified into two criteria: context and probability. Then, the different characteristics between manufacturing- and service-oriented firms were distinguished by the theory of goods-dominant logic (GDL) and service-dominant logic (SDL). Structural equations modeling and multiple-group analysis were then used to validate research hypotheses and compare the two groups.

The empirical evidence, gathered from the Vietnamese construction sector, indicated that in a serious situation all of the five risks proposed occur at the same time, thus the remarkable 87.1% variance in SC performance was explained. Furthermore, this rate is significant when the two groups are compared: manufacturing-oriented firms (88.3 percent) and service-oriented firms (85.6 percent), implying that risks in the manufacturing-oriented group have a greater effect on SC performance. While manufacturing-oriented companies should pay close attention to the operational and demand risks that adversely affect SC performance, they should treat information risk as an opportunity to improve. Service-oriented companies, however, need to manage supply risk which, in their case, can be attributed to a 51.2 percent variance in SC performance. Moreover, service quality can also be improved remarkably if information risk is well managed.

This study provides a detailed picture of the relationship between risks and performance in the SC. Risks are illustrated as affecting the SC performance simultaneously, (not separately) and so the approach outlined here will give firms a comprehensive view of their SCs and provide guidelines for predicting the impact risks will have on the SC performance. Moreover, by comparing manufacturing- and service-oriented firms, a thorough overview of risk behaviors is provided and appropriate solutions for each type of company can be determined.

The “novelty of approach” of this study is in applying GDL and SDL theory to classify the manufacturing-oriented and service-oriented firms. The different characteristics between the two groups are identified and explained in terms of resources, value, network, effectiveness vs efficiency and communication, thus providing an insight into risk management activities in the SC network.

Proactive risk assessment suggests that risk assessment should emphasize the consequences that it might cause and the opportunities it might create for firms. Hence, this study aims to validate risk impact on supply chain performance in the context of the Vietnamese construction sector. Also, a complex network, in which multiple risk factors mutually affect, impede or promote each other, is developed to assist managers in tackling unpredictable risks proactively. In particular, the authors investigate whether certain risks could be considered either challenges or opportunities for businesses in turbulent times to improve SC performance.

The construction industry is the focal study context as it is one of the most essential industries in charge of providing accommodations, infrastructures and employment for society. 289 valid responses used in this research are from a large-scale survey result, supported by a Japanese government project promoting sustainable socio-economic development in Vietnam.

From the study findings, the authors find that external risk brings opportunities for supply chain performance. Meanwhile, demand risk, when it occurs, can reduce the danger level of operational risk, which is an interesting finding of this research. It is evident that when multiple risk factors mutually affect, impede or promote each other, it provides a more meaningful examination of mutually interconnected supply chain risks.

Practitioners should perceive risks as an opportunity than a threat. This study contributes to preventing risks and guaranteeing an effective and efficient supply chain by tackling unpredictable risks in a disruptive period. Moreover, data on validating research models collected during the Covid-19 pandemic and Ukraine and Russia conflicts reflect the topicality of this study.

The purpose of this paper is to examine the push effect of risk on supply chain (SC) performance, a new concept in the SC risk body of literature, at service-oriented firms.

Two models were compared: first, contains relationships between risks that show the mechanism of the push effect, i.e. the theoretical model. The other, only exists in direct effects of risks on SC performance, i.e. the competitive model.

Test results proved that the mechanism of the push effect can increase the degree of impact of each and all risks on outputs. By the push effect, risks can explain up to 65 percent variance of SC performance compared with 52 percent of the model without push effect. Moreover, the research found two kinds of the push effect: positive – increasing the impact of “pushed” factors on outputs and vice versa for negative.

The mechanism of the push influence will be broken if mutual interaction among risks was minimized. Practitioners and managers can apply the resultant model as a “road map” in their context to achieve this purpose.

Vargo and Lusch (2008) argued that service-oriented firms will be a new trend since the modern-day industry tends to more focus on customer demand. SC management gradually shifted toward demand chain management that organizations will not make and sell units of output but producing customized services to customers (Walters, 2008). This transformation has led to the emergence of new risks, the impact of risk on the SC also varies and the mismatch of the current risk mitigation strategies (Lusch et al., 2007). Dealing with these changes is the purpose of this research.

The purpose of this paper is to investigate the incidence and earning effects of the vertical mismatch between attained and required educational qualifications in a developing country’s labor market.

Following Duncan and Hoffman (1981), this paper uses the augmented Mincerian wage equation to decompose the actual years of education of a person into years of over-education, years of required education and years of under-education. These years of education are then fitted in an ordinary least squares model to measure the earning effects of an employee when his/her attained educational qualifications are higher or lower than the required educational level in his/her job.

Unlike studies in developed countries, this paper finds that Vietnam has a higher incidence of under-education than over-education due to a large proportion of the population in rural and remote areas not having access to formal education. Further, qualification mismatch has an asymmetric effect on earnings in the sense that the wage rate is flexible downward but rigid upward. In particular, years of schooling that are in excess or in deficit of the required level for the job are not compensated with higher earnings. This paper concludes that although qualification mismatch incidence in Vietnam is different from that in developed countries, mismatched workers also suffer from significant wage penalty.

This paper makes a significant contribution by providing the first evidence from a developing country to the vertical mismatch literature which has already been overwhelmed with studies from advanced economies.