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Literature proposes that implementing supplier assessment and supplier collaboration simultaneously may lead to better sustainable performance. The purpose of this paper is to empirically examine the proposition by considering the contingent effects of two contextual factors, the environmental dynamism and the stakeholder pressure on sustainability.

Four configurations of governance mechanisms are identified according to the different levels of implementing supplier assessment and supplier collaboration. The performances of the four configurations are compared against the levels of environmental dynamism and stakeholder pressure. The empirical data from the sixth round of International Manufacturing Strategy Survey (IMSS) are used.

This paper found that the governance configuration with the highest level of implementing both governance mechanisms leads to the best performance. The synergistic effect that supplier assessment and collaboration complement each other to achieve better performance is verified. However, the synergistic effect holds robust only when the environmental dynamism and stakeholder pressure are high. The synergistic effect vanishes in the social and environmental performance when the environmental dynamism is low. The effect also vanishes in the environmental performance when the stakeholder pressure is low. No synergistic effect was found in business performance.

This paper reveals the complementarity between supplier assessment and supplier collaboration when they are implemented at a reasonably high level. It also reveals the importance of the fit of governance mechanisms under different external contexts. The results contribute to reconciling the disputes about the effectiveness of governing supplier relationship to achieve the sustainability along a supply chain.

Quality management (QM) practices have long been suggested as a package to improve the quality performance of a company. Yet, empirical studies offered little support of this perspective as only a small set of QM practices were found to be conductive to quality improvement. By taking a new approach, the purpose of this paper is simultaneously evaluate the individual and synergistic effects of several key quality practices on operations performance.

Survey data were collected and used to test the proposed hypotheses. Hierarchical regression analyses were performed to assess the magnitude of synergistic effects and individual effects.

It is found in this study that the synergistic effects across QM practices are substantial in enhancing all operations performance dimensions whereas individual effect varies for different performance goals.

This study makes theoretical contributes to the field of QM by providing empirical support of the interdependence assumption of QM practices and resolving the inconsistent findings. Practically, the results suggest that in-depth implementation of various QM practices simultaneously can be highly effective to achieve performance improvement on all accounts. In addition, the positive additional individual effects also open up a firm’s strategic choices of where to focus the resource investment in the adoption process as long as the strategic focus can justify its contribution toward the desired performance goals.

The purpose of this study is to explore what is synergistic innovation in the logistics service outsourcing context and how this strategy can potentially benefit an organization by improving performance outcomes.

A total of 21 in-depth interviews were conducted to conceptualize the construct of synergistic innovation. In addition, a theory-based model is tested using data collected from 282 Chinese manufacturing firms that are currently engaged in logistics service outsourcing.

The results from the in-depth interviews reveal that synergistic innovation goes beyond just interactions on innovation but requires both parties to achieve synergies that otherwise cannot be achieved by individual party alone. In addition, the empirical analysis suggests that synergistic innovation can help firms improve both logistics service performance and market performance. This process is dynamic as knowledge integration capability influences the outcomes of synergistic innovation.

This study is among the first to conceptualize synergistic innovation. It also offers a practical scale that helps future studies effectively measure this construct. Moreover, the results of this study provide compelling insights into how managers can use logistics service outsourcing as an important source for improving innovation outcomes.

The manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial network topology, which is an important reason for the synergistic effect. This paper describes the topology of industrial systems using complex network theory; further, it discusses how to identify the criticality and importance of industrial nodes, and whether node characteristics cause synergistic effects.

Based on the input-output data of China in 2007, 2012 and 2017, this paper constructs the industrial complex network of 30 Chinese provinces and cities, and measures the regional network characteristics of the manufacturing industry. The fixed-effect panel regression model is adopted to test the influence of agglomeration degree and centrality on synergies, and its adjustment mechanism is explored.

The degree of network agglomeration in the manufacturing industry exerts a negative impact on the synergistic effect, while the centrality of the network exerts a significant promoting effect on the synergistic effect. The results of adjustment mechanism test show that enhancing the autonomous controllable ability of the regional industrial chain in the manufacturing industry can effectively reduce the effect of network characteristics on the synergistic effect.

Based on input-output technology, this paper constructs a complex industrial network model, however, only basic flow data are used. Considerable in-depth and detailed research on the economic and technological connections within the industry should be conducted in the future. The selection of the evaluation index of the importance of industrial nodes also needs to be further considered. For historical reasons, it is also difficult to obtain and process data when carrying out quantitative analysis; therefore, it is necessary to make further attempts from the data source and the expression form of evaluation indicators.

In a practical sense this has certain reference value for the formulation of manufacturing industrial policies the optimization of regional industrial layout and the improvement of the industrial development level. It is necessary to formulate targeted and specialized industrial development strategies according to the characteristics of the manufacturing industry appropriately regulate the autonomous controllable ability of the industrial chain and avoid to limit the development of industries which is in turn limited by regional resources. Industry competition and market congestion need to be reduced industry exchanges outside the region encouraged the industrial layout optimized and the construction of a modern industrial system accelerated.

The above research results hold certain reference importance for policy formulation related to the manufacturing industry, regional industrial layout optimization and industrial development level improvement. Targeted specialized industrial development strategies need to be formulated according to the characteristics of the manufacturing industry; the autonomous controllability of the industrial chain needs to be appropriately regulated; limitation of regional resources needs to be avoided as this restricts industrial development; and industry competition and market congestion need to be reduced. Agglomeration of production factors and optimization of resource allocation is an important part of a beneficial regional economic development strategy, and it is also an inevitable choice for industrialization to develop to a certain stage under the condition of a market economy. In alignment with the research conclusions, effective suggestions can be put forward for the current major industrial policies. In the process of promoting the development of the manufacturing industry, it is necessary for regional governments to carry out unified planning and guidance on the spatial layout of each manufacturing subsector. Regional governments need to effectively allocate inter-industry resources, better share economies of scale, constantly enhance the competitive advantages and competitiveness of development zones and new districts and promote the coordinated agglomeration and development of related industries with input industries. Industrial exchanges outside the region should be encouraged, the industrial layout should be optimized and the construction of a modern industrial system should be accelerated.

Complex network theory is introduced to study the industrial synergy effect. A complex industrial network of China's 30 regions is built and key network nodes are measured. Based on the dimensionality of the “industrial node – industrial chain – industrial complex network”, the research path of industrial complex networks is improved.

This study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.

This study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.

This study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.

The proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.

Using the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.

Introduction The degree of adsorption of organic inhibitors on a metal surface in presence of halide anion is predominantly influenced by the synergistic effect. The synergistic effect brings about an improvement in inhibition as a result of chemisorption or physical adsorption depending on the nature of the interaction between the halide and the cation of the inhibitor. This effect is partly attributed to the stabilization of the adsorbed anion layer by an organic cation through a possible covalent linkage. The degree of availability of electrons influences the mode of adsorption. Investigations on ferric ion corrosion have shown that the synergistic inhibition effects the corrosion processes by primarily increasing the polarization of the cathodic reaction. The adsorption of quinoline on 18–8 steel in the presence of halider ions is predominantly influenced by the synergistic effect. It has been found that the addition of smaller concentration of quinoline inhibits the cathodic reaction and higher concentrations of quinoline inhibit the anodic reaction as well. According to Iofa the formation of an adsorbed layer of positively charged ion retards the transfer of cation through a binary layer and lowers the transfer rate. Work on amines has shown that tertiary and secondary amines are stronger than the primary amines as a result of increase of dipole moment of the doublet, increase of ionisation energy and increase of polarizability. Basicity and stearic effects, both are important. The high effectiveness of cyclic amines with more than seven carbon atoms appears to be correlated with the character of the free electron. It has been shown that whereas the organic compounds of cationic type were weakly absorbed on the iron surface in H2SO4 the addition of halides produced a considerable increase in the adsorption. Cavallaro and others have shown that several nitrogen molecules inhibit both the anodic and cathodic reactions.

The purpose of this paper is to shed more light on the relative impact of the various workplace resources on employees' effective coping with job stress symptoms, taking into account synergistic and antagonistic effects. The authors used job demands-resources (JD-R) theory as an overarching theoretical framework to test the hypotheses.

The authors used a factorial survey experiment and a within-person design. Data were obtained from a random sample of 97 Greek employees working in public and private organizations. Multilevel modeling regression techniques were used for data analyses. The authors examined the relative effect of various job resources at different levels on employees' ratings of effective coping with job stress symptoms. In parallel, the authors investigated the possible synergistic and antagonistic interactions between the specific job resources.

The authors found that managers' leadership and humor style, their relationship with subordinates and coworkers’ support had positive effects on employees' coping with job stress. In addition, the authors found that the manager's leadership style interacts with manager–subordinate relationship quality and coworkers’ support as well as the latter interacts with the manager's humor style and manager–subordinate relationship quality. The study model explained 50% of the variance in effective coping with stress ratings.

The study highlights the importance of workplace resources as contextual variables, for the effective coping with stress symptoms at work. It highlights that a combination of workplace resources produces a net effect that was better than would have been expected based solely on the individual performance of these job resources. As such, the research answer calls to attend to the effects of synergistic effects of workplace resources on effective coping with stress symptoms at work.

The purpose of this paper is to develop an equation for the synergistic corrosion of SRB and CO₂ based on the D-W model.

The bacterial types in the a and ß pipelines were studied by the most probable number method, and the corrosion morphology of L360 in pipeline water samples was studied by surface analysis. The corrosion rate of L360 was studied using the weight loss method. The gray correlation method was used to calculate the degree of correlation between the influencing factors of corrosion under the synergistic effect of CO₂ and SRB. The curve obtained from PIPESIM software and experiments data was then fitted using multiple non-linear regression method by MATLAB software.

The equation was used to predict the corrosion of the ß pipeline for verification, and it was found that seven out of ten excavation sites were within a 20% error range.

Using the gray correlation method, an equation that considers synergistic corrosion of SRB and CO₂ has been developed based on the D-W model. The equation could be used to predict the corrosion rate of shale gas gathering pipelines through SRB and CO₂ synergistic corrosion.

This study aims to develop a comprehensive green supplier governance (GSG) concept and explore whether specific GSG approaches (green supplier assessment, green supplier assistance and green strategic partnership with suppliers (GSPS)) bring environmental and economic performance. Moreover, this study aims to reveal a synergistic effect of three GSG approaches on performance improvement.

Using data collected from 200 Chinese manufacturing firms, regression analysis was employed to reveal the relationship between specific GSG approaches and firm performance. Further, cluster analysis was used to identify groupings of firms regarding implementation levels of three GSG approaches and compare the performance of the firm groups.

Green supplier assessment (GSA) can bring environmental performance, but GSA is not associated with economic performance. Green supplier assistance is positively associated with economic performance, while green supplier assistance cannot improve environmental performance. Only GSPS leads to improvement for both environmental and economic performance. Furthermore, firms with high implementation levels of GSA and GSPS (whether with high or low implementation levels of GSAS) can achieve the best environmental and financial performance.

This study provides implications for firms to more strategically and comprehensively implement GSG approaches, which can be more effective in bringing environmental and economic performance.

The authors' study extends the GSG concept with two approaches by subdividing the collaborative approach into green supplier assistance and GSPS based on the collaboration levels. This study also sheds light on how to improve firm performance by different GSG approaches and reveals a synergistic effect of three GSG approaches on performance.

This report aims to study the influence of applied potentials on the corrosion-wear behavior of 316L stainless steel (SS) in artificial seawater.

In this study, wear-corrosion behavior of 316L SS had been studied under different applied potentials in artificial seawater by using a reformed pin-on-disc test rig. The applied potentials were selected ranging from –1.2 to 0.3 V (vs Ag/AgCl). The friction coefficient, mass loss rate and current density were determined.

It was indicated that mass loss was determined by the combined effect of mechanical wear and chemical corrosion. The wear-corrosion process was synergistic effects dominate while mechanical wear contributed the major material mass loss.

The results helped us to choose the appropriate metals for application under the specified environment.

The main originality of this research is to reveal the corrosion-wear behavior of 316L SS under different potentials, which would help us to understand different states of 316L SS under different corrosion environments.