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The purpose of this paper is to clarify the concept of dynamic capabilities from the knowledge‐based perspective and investigate the mechanisms of dynamic capabilities on innovation performance in networked environments.

This paper designed a seven‐point Likert questionnaire measuring the dynamic capabilities, innovation performance and network embeddedness and a sample of 218 Chinese manufacturing firms were surveyed. Structural equation modeling method was used to statistically test the theoretical hypothesis.

Significant relationships were found between dynamic capabilities and innovation performance and knowledge combination capability played a mediating role in this relationship. For the links between network embeddedness and dynamic capabilities, knowledge acquisition capability was affected mainly by relational embeddedness and the diversity of network and joint problem solving contributed much to knowledge combination capability.

This paper deepened the understanding on dynamic capabilities and the mechanism between network embeddedness, knowledge‐based dynamic capabilities and innovation performance. In the future, the construct of knowledge‐based dynamic capabilities calls for more examination and verification.

Drawing on the literature of dynamic capabilities framework, knowledge‐based view and the network model, this study extends the literature of dynamic capabilities and its link with innovation performance in networked environments. Using survey data and structural equation modeling, this study offers rich evidence on the contribution of dynamic capabilities on innovation performance and the antecedents of dynamic capabilities.

This paper aims to propose the following questions: How does dynamic positioning influence organization’s innovation performance? Does knowledge base mediate the relationship between them?

The empirical setting of this study is the smartphone collaboration network from 2004 to 2017; the authors selected one-site schemes and data of patents from the Derwent Innovation Database. Furthermore, the authors adopted the negative binomial model with random effects to test the hypotheses.

The regression results show that organization’s dynamic positioning has an inverted-U-shaped relationship with its exploratory innovation. Similarly, organization’s dynamic positioning has an inverted-U-shaped relationship with its exploitative innovation. Besides, knowledge base mediates the relationship between dynamic positioning and organization’s innovation performance.

This study empirically confirms the relationship between dynamic positioning and organization’s innovation performance by separately examining exploratory and exploitative innovation. Furthermore, this study provides a contribution to the literature linking dynamic positioning and organization’s innovation performance by investigating the mediating role of knowledge base.

Prior studies have argued that multinational firms with dynamic capabilities can reconfigure and upgrade their internal and external resources and adapt to an ever-changing competitive global environment. The impact of home country networks exerting on multinational corporations’ (MNCs) dynamic capabilities has been rarely discussed in extant research. This paper aims to explore how two types of home country networks’ relational embeddedness (from domestic firms and foreign firms) affect Chinese MNCs’ dynamic capabilities.

Several hypotheses were tested by analyzing the survey data from 204 multinational companies in china.

The results reveal the impact mechanism of the home country network on dynamic capabilities. Embeddedness in domestic networks positively affects embeddedness in the foreign network; embeddedness in foreign firms exerts positive effects on the three dimensions of MNC’s dynamic capabilities. Additionally, the effect of domestic firms’ relational embeddedness on resource reconfiguring capability is mediated by foreign firms’ embeddedness. Consequently, this study provides a theoretical introduction for MNCs from emerging economies.

This study has several managerial implications for emerging MNCs’ international operations. For MNCs from emerging economies, close cooperation with domestic firms helps firms to develop a close relationship with foreign firms; meanwhile, developing a close relationship with foreign firms can obtain spillover about technology and management experience better, improving dynamic capability. Specifically, domestic embeddedness, through foreign embeddedness, can extend the impact to focal firms in developing resource reconfiguring capability.

This study provides an alternate view of how home country networks influence the dynamic capabilities of Chinese MNCs and outlines its impact mechanism. Therefore, the study contributes both to the international business literature and social network literature.

Enterprise growth drives competitiveness, innovations, employment creation, income generation and social inclusion in societies. The purpose of this paper is to examine the mediating effect of networking on the relationship between dynamic capabilities and enterprise growth of financial cooperatives.

This is a cross-sectional survey and quantitative study of 269 financial cooperatives based on structural equation modelling and bootstrapping techniques analysis.

The results reveal that dynamic capabilities are vital in promoting the growth of financial cooperatives. In addition, networking partially enhances the contribution of dynamic capabilities to the growth of financial cooperatives. Therefore, dynamic capabilities and networking play a key role in promoting the growth of financial cooperative enterprises.

This was a cross-sectional survey. It did not trace the changes in behavioural and attitudinal aspects of enterprise growth over time. A longitudinal approach is recommended.

It is imperative that managers of financial cooperatives enhance their coordination, learning and competitive response capabilities through consultation, exchange and sharing of information among staff and other stakeholders, to increase the membership, capital and income volumes, depicting growth of financial cooperatives.

This study provides an insight on the mediating effect of networking on the enterprise growth of financial cooperatives in developing countries founded on networks theoretical framework. Unlike previous studies that modelled direct relationship of enterprise growth.

Community detection of dynamic networks provides more effective information than static network community detection in the real world. The mainstream method for community detection in dynamic networks is evolutionary clustering, which uses temporal smoothness of community structures to connect snapshots of networks in adjacent time intervals. However, the error accumulation issues limit the effectiveness of evolutionary clustering. While the multi-objective evolutionary approach can solve the issue of fixed settings of the two objective function weight parameters in the evolutionary clustering framework, the traditional multi-objective evolutionary approach lacks self-adaptability.

This paper proposes a community detection algorithm that integrates evolutionary clustering and decomposition-based multi-objective optimization methods. In this approach, a benchmark correction procedure is added to the evolutionary clustering framework to prevent the division results from drifting.

Experimental results demonstrate the superior accuracy of this method compared to similar algorithms in both real and synthetic dynamic datasets.

To enhance the clustering results, adaptive variances and crossover probabilities are designed based on the relative change amounts of the subproblems decomposed by MOEA/D (A Multiobjective Optimization Evolutionary Algorithm based on Decomposition) to dynamically adjust the focus of different evolutionary stages.

This paper proposes a competence that enables the pivot organization to dynamically combine (assemble/disassemble, activate/deactivate) resources as needed, and introduces the concept of “dynamic assembly” that integrates this new competence into the historic pivot’s capacities.

Two in-depth case studies performed in two different contexts support our theoretical construct and exhibit the strategic role of the pivot-assembler in the conception, combination, coordination, and control of temporary chains and networks.

The results of our research confirm that dynamic assembly is an important characteristic of both, the travel industry and humanitarian relief, in which the four dimensions (conception, combination, coordination, and control) were found.

From this research it is possible to consider that the theoretical construct of dynamic assembly is meaningful in these types of contexts where chains are temporarily assembled from a dynamic network. Complementary research should look at the characteristics of the organizational structure and the management of competences in loosely-coupled organizations (Weick, 1982) and hastily formed networks (Denning, 2006).

My purpose is to describe for strategic management scholars in Africa, particularly graduate students and new faculty members, dynamic analysis and its significance in the African context so as to assist in the study of dynamic phenomena.

I discuss various types and methods of dynamic analysis. Dynamic analysis has been used extensively in such fields as cognitive psychology, social psychology, and management in Western countries.

I illustrate the various dynamics by reviewing four illustrative studies. I also provide procedures for studying dynamics in the African context.

I discuss the strengths and limitations of dynamic analysis and suggest ways of maximizing its potential.

The technique is a source particularly for graduate students of strategy in Africa. They can use it to supplement other approaches in studying strategic management phenomena.

This chapter discusses a typology of dynamic analysis consistent with empirical or variable modeling approaches. The lack of such a typology in the context of Africa makes it a valuable contribution. Thus, it fills a contextual gap in the research methodology literature.

The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score.

A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach.

This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately.

In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data.

The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc.

For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

Entrepreneurship institutions exhibit substantial gender discrimination despite worldwide efforts to decrease the phenomenon. The MENA area has a low percentage of women entrepreneurs since little is known about women’s desire to start their businesses. The authors use the theory of planned behavior (TPB) to explain what influences women's propensity toward entrepreneurship and what factors discourage them.

TPB is a psychological theory explaining how individuals act in certain situations. The authors created their database by using a systematic questionnaire. Overall, 350 women entrepreneurs contributed to their dataset. Finally, the authors used structural equation modeling to verify their hypotheses.

This study helps them to shed light to better understand the dynamics of Entrepreneurial Intention, in women from Lebanon. The authors do not find any relationship between lack of knowledge, funding, networking and entrepreneurial startup intention for Lebanese women. The role of dynamic capabilities in the entrepreneurial landscape of Lebanon, particularly for women, is substantially highlighted by the full mediation observed in the relationship between lack of knowledge and entrepreneurial start-up intentions. The findings discovered that these capabilities could fully mediate the negative impact of lack of networking on the intention to commence entrepreneurial ventures.

This research illustrates and explains how dynamic capabilities mediate the relationship between women entrepreneurs' challenges and their intention to start a business in the Lebanese context.