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Rapidly changing technological and marketing environments challenge the survival of business organizations. Developing dynamic capability is critical in helping companies respond to today's turbulent environments. Thus, fruitful studies on the antecedents of dynamic capability have been conducted. However, in the context of the supply chain, little is known about the factors that can be harmful to dynamic capability. Drawing on the theory of cooperation and competition, the first purpose of this study is to examine the relationship between independent goal interdependence with suppliers and dynamic capability by focusing on the mediating role of supplier integration. Combining the information processing theory and transaction cost economics with the theory of cooperation and competition, the second purpose of this study is to discuss and test the moderating role of internal integration.

Using a carefully designed questionnaire, a large-scale survey was employed to collect data in China. The senior manager (e.g. president, vice president, chief executive officer [CEO], executive or purchasing manager) of each company was asked to participate in our survey. The final valid sample in our survey consisted of 233 companies. Hierarchical multiple regression statistical analysis and bias-corrected bootstrapping methods were applied to test the correlation, mediation, moderation and moderated mediation relationships between variables.

The authors found that independent goal interdependence negatively influences dynamic capability through frustrating supplier integration. In addition, the moderated mediation model analysis shows that internal integration weakens the positive direct effect of supplier integration on dynamic capability while neutralizing the negative indirect effect of independent goal interdependence on dynamic capability. The theoretical and managerial implications of these results are discussed.

First, starting from the goal interdependence and supply chain management perspectives, this research not only is consistent with remote theoretical research that explains why interdependence among organizations influences the capability to enhance competitive advantage but also incorporates relevant internal and external factors that influence dynamic capability. Second, by proposing an innovative boundary factor – internal integration – this study also contributes to adjusting the predictions of the theory of cooperation and competition. Third, focusing specifically on the negative antecedent of dynamic capability can provide a better understanding of the antecedents that cause companies to have weakened dynamic capability.

This paper aims to examine dynamic multi-stage post-merger integration (PMI) evolutions by Chinese multinational enterprises (CMNEs) in the German market and their potential influencing factors.

A data set was collected from 25 interviews with 21 respondents from six Chinese acquisition cases in Germany, and a comparative multi-case study and content analysis were applied.

The results reveal that Chinese acquirers take segmented linear integration path in Germany from nearly no integration to organisational integration and then to production integration. It contains three sub-paths: the P-O-O path (partnering–organisational optimisation–production optimisation), the P-P-P path (preservation–organisational preservation–production preservation) and the P-C-C path (preservation–organisational centralisation–production confusion). The initial nearly no integration condition is mainly impacted by asymmetric information and the targets’ strategic positions, whereas different organisational and production integration degrees in mid- and long-term stages are primarily influenced by Chinese acquirers' different dynamic capabilities. Moreover, Chinese acquirers' corporate ownership is not found to be a significant factor that influences CMNEs to take different integration strategies in different PMI stages.

This paper contributes to broaden emerging multinational enterprises’ (EMNEs) PMI theory by adding dynamic perspective and provides suggestions for mergers and acquisitions (M&As) practitioners to identify integration options and avoid integration pitfalls in different integration stages.

Existing works identified that EMNEs prefer to partner with the targets in advanced markets, but lacked a dynamic perspective to disclose whether the partnering strategy would be adjusted or not over time. This study is the first to explore multi-stage integration changes and is one of the few studies that recognise the interaction of the integration strategy with the dynamic capability of the acquiring enterprises.

Post-merger integration (PMI) is driven by coevolving processes. This paper examines the coevolution of dynamic integration strategy and network reconstruction and explores how these processes systematically enable emerging market acquirers to upgrade innovation capabilities.

This paper conducts a multi-case study based on four Chinese overseas acquisitions of manufacturing firms. The data were collected from interviews and archival documentation.

This study develops a coevolutionary framework of dynamic integration strategy and network reconstruction to explain processes and mechanisms of an acquirer’s innovation capability upgrading. This framework identifies three network motivations, namely, network access, network connection and network synergy. Under different network motivations, dynamic transitions of the acquirer’s integration strategy coevolve with multi-level reconstruction of its networks. Collectively, they are important mechanisms driving innovation capability moves from imitation innovation to asportation and reimitation innovation and then to independent innovation.

This paper responds to a recent call for more insights into the dynamics of PMI and contributes to the research on emerging market multinational corporations’ post-acquisition integration. By integrating the M&A and networks literature, the paper provides evidence of unexplored mechanism of network changes during PMI. It reveals that how acquirers manage the dynamics of PMI to gradually achieve multi-level reconstruction of their networks. Based on a coevolutionary framework, the paper provides a process perspective on how the coevolution of PMI and network reconstruction promotes the upgrading of innovation capabilities.

This paper aims to provide a simple and accurate higher order predictor‐corrector integration which can be used in dynamic analysis and to compare it with the previous works.

The predictor‐corrector integration is defined by combining the higher order explicit and implicit integrations in which displacement and velocity are assumed to be functions of accelerations of several previous time steps. By studying the accuracy and stability conditions, the weighted factors and acceptable time step are determined.

Simplicity and vector operations plus accuracy and stability are the main specifications of the new predictor‐corrector method. This procedure can be used in linear and nonlinear dynamic analysis.

In the proposed integration, time step is assumed to be constant.

The numerical integration is the heart of a dynamic analysis. The result's accuracy is strongly influenced by the accuracy and stability of the numerical integration.

This paper presents simple and accurate predictor‐corrector integration based on accelerations of several previous time steps. This may be used as a routine in any dynamic analysis software to enhance accuracy and reduce computational time.

This study aims to investigate the relationship between knowledge-based dynamic capability and organizational structure on team innovative performance in Brazilian industrial companies.

This study is based on data from a survey of 262 respondents from 65 companies in the Brazilian industrial sector with project teams and followed the partial least squares approach to model the structural equation that was used for data analysis.

The results of the study show that mechanical structures with a high degree of formalization and centralization have a negative impact on knowledge-based dynamic capability and integration has a positive relationship with dynamic capability. Moreover, the research shows that project team innovative performance is directly affected by knowledge generation and combination capability; however, knowledge acquisition/absorption does not interfere with project team innovative activity.

This study contributes to the managers of firms in the industrial sector by analyzing how the characteristics of organizational structure impact dynamic capability and project team innovative performance. The results of this study indicate that more mechanical structures have more difficulty in developing knowledge-based dynamic capability in the context of project teams.

This study advances the concept of knowledge-based dynamic capability from the firm level to the project team level. This study accesses a research gap that characterizes organizational structure as an antecedent of dynamic capability, analyzing the impact of organizational structure on the dimensions of dynamic capability and of the latter on project team innovative performance.

This study examines how intellectual capital (IC) drives firm performance via the lens of dynamic capabilities (DCs). Drawing on resource-based view (RBV) and dynamic capability view (DCV), the authors elaborate the mediating role of learning, integration and reconfiguration DC in the Indian banking context.

A sample of 358 top- and middle-level managers from the Indian banking sector was administered with structured questionnaires for data collection. Structural equation modeling (SEM) and Sobel test were used to analyze the data and test the hypothesized mediating effect.

The findings reveal that learning and integration DCs are key mediators in IC and banks' performance relationships in an emerging economy context. In contrast, the analysis revealed partial mediating role of reconfiguration DC. Furthermore, the learning DC has been identified as the primary mediating mechanism for transforming bank's IC into performance benefits.

This study provides an important implication for the IC and DC link by empirically developing and validating a model in the Indian banking sector and making a several contributions to the related literature. This sector needs to incorporate and strengthen their IC and DCs to attain enhanced performance in today's dynamic environment. Bank managers can use these findings to bring their knowledge-related activities to channelize specific DCs to transform banks' IC when seeking to improve overall performance. Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence firm performances with the help of IC, learning, integration and reconfigurations DCs.

Although several studies have investigated the links between IC, DC and firm performance, studies on emerging economies are scarce. This study is one of the most in-depth investigations of the relationship between IC, learning, integration and reconfiguration DCs and firm performance in an integrated framework, with a particular focus on the banking sector of an emerging economy.

Organizational flexible integration capability equips organizations to deal with the whole range of problems presented by dynamic environments. Adopting the language of dynamic capability research we advance four components that constitute flexible integration capability. These are a dominant logic of opportunity, a wide variety of problem solving projects, the deployment of portable integration expertise, and organizational practices support the development of portable integration expertise. Of these four portable integration expertise is a purely individual level capability. Organization level flexible integration capability is founded on the development of portable integration expertise by individuals. Organizations can facilitate portable integration expertise by structuring careers, valuing long term goals and objectives, adopting knowledge management practices and being receptive to external sources of knowledge.

Post-merger integration (PMI) is driven by coevolving processes. By integrating the literature on acquisitions with that of knowledge networks, this paper highlights different reconstruction mechanisms for dual knowledge networks during PMI – namely, internal knowledge network coupling and external knowledge network embeddedness. This paper aims to examine their coevolutionary relationships with PMI.

A coevolutionary framework is tested using a latent growth model and cross-lagged models. The analysis is based on longitudinal data collected from 116 Chinese technology-sourcing overseas merger and acquisition firms.

This paper unearths a novel idea that variations in post-merger reconstruction of dual knowledge networks can explain why some acquirers increase the degree of integration faster than the others. The results show that the internal knowledge network coupling leads to more knowledge similarity and, in turn, causes a higher degree of integration. The external knowledge network embeddedness also causes higher relative network status of the acquirer, which consequently leads to a higher degree of integration. Furthermore, results from cross-lagged models confirm that an increase in the degree of integration positively influences subsequent changes in the internal knowledge network coupling and external knowledge network embeddedness, thus forming a coevolutionary relationship over time.

This paper responds to recent calls for more insights into the dynamics of PMI. By highlighting different reconstruction mechanisms for internal and external knowledge networks during PMI, this paper explains why it is important to understand PMI dynamics from a dual knowledge network perspective. This paper is the first to adopt a coevolutionary perspective and provide a more comprehensive dynamic framework between PMI and reconstruction of dual knowledge networks. Besides, this paper contributes to the research on emerging market multinational corporations’ cross-border merger and acquisition integration from a dynamic perspective, revealing the time effects of traditionally favored light-touch integration.

This paper aims to investigate post-buckling responses of shell-like structures using an implicit conservative-decaying time integration dynamic scheme.

In this work, the authors have proposed the use of a four-node quadrilateral flat shell finite element with drilling rotational degree of freedom within the framework of an updated Lagrangian formulation mutually with an implicit conservative-dissipative time integration dynamic scheme.

Several numerical simulations were considered to evaluate the accuracy, robustness, stability and the capacity of the considered time integration scheme to dissipate numerical noise in the presence of high frequencies. The obtained results illustrate a very satisfying performance of the implicit conservative-dissipative direct time integration scheme conjointly with the quadrilateral flat shell finite element with drilling rotation.

The authors have investigated the potential of the implicit dynamic scheme to deal with unstable branches after limit points in the non-linear post-buckling response of shell structures with no need for structural damping. The capability of the studied algorithm to study buckling and post-buckling behaviour of thin shell structures is illustrated through several numerical examples.

The purpose of this paper is to develop the role of integration flexibility as a mediator of acquisition performance and demonstrate how this capability varies across firms.

The study develops a conceptual framework of anticipated relationships by building on existing but so far unintegrated acquisition research.

The study suggests integration flexibility provides an explanation for variance in acquisition performance. The study identifies drivers behind acquisition integration flexibility in acquirer characteristics, deal characteristics and integration management. The authors further specify the positive and negative impact of several key factors commonly discussed in acquisition research.

Integration flexibility stands out as a novel explanation for acquisition performance. Still, the benefits from flexibility are not universal and developed logic suggests it represents a dynamic capability for acquirers. Our framework helps predict which acquirers and deals are more likely demonstrating this capability, thus contributing to predict acquisition performance.

Acquisitions often take place in dynamic environments and reportedly often fail. Predicting and developing acquisition integration flexibility stands out as an important task for acquiring management.

Annual global acquisition values are on par with the GDP of large industrial nations (e.g. Germany) and failures for reasons of lacking acquisition integration flexibility contributes to value destruction harming not only firms, but society at large. Improved integration flexibility likely mediates this risk.

Making an acquisition to adapt to environmental change implicitly assumes greater integration that can limit flexibility. While our argument builds on key concepts from acquisition research these so far have remained unconnected in relation to acquisition integration flexibility. The authors develop factors influencing this important capability and show how it mediates acquisition performance. This links acquisition antecedents with integration or phases typically treated separately.