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It is crucial to recognize that supply chain flexibility is important to build sustainable competitive edge in coping with uncertainty. This study puts forth an empirically supported integrative framework to understand supply chain flexibility from market-oriented and network-oriented perspectives, interrelationships among its dimensions and the effect of supply chain complexity as a contingent factor.

The online survey data were collected from 201 manufacturing companies and checked for common method variance, validity and reliability. Structural equation modeling was then used to test the hypotheses.

The results of this study demonstrate that there are interrelationships among market-oriented and network-oriented supply chain flexibility dimensions. It is the flexibility embedded in the supply chain network configuration that plays critical roles in superior performance in flexibility capabilities to create customer values. The interrelated effect among flexibility dimensions is contingent on the magnitude of the supply chain complexity corresponding to the number of supply chain tiers.

This study takes a step to advance understanding of supply chain flexibility from an integrative point of view consisting of market-oriented and network-oriented perspectives. This study is expected to provide practitioners the foundation to implement supply chain flexibility considering the interrelationships among flexibility dimensions. Our results suggest that to carry out a supply chain flexibility strategy, the vertical complexity of the supply chain structure needs to be taken into consideration.

The purpose of this study is to provide evidence on the impact of network flexibility and its ambidextrous influence on a firm's exploratory and exploitative partnership selection.

The authors develop our hypotheses based on the literature of network flexibility and draw on a sample of publicly listed firms in Taiwan semiconductor and optoelectronics industries. The authors collect our data from survey questionnaires and archival sources and examine our hypotheses by using the generalized linear model (GLM) approach.

The authors’ empirical findings show that configuration flexibility has a greater influence on exploratory partnerships, while manufacturing flexibility has a greater impact on exploitative partnerships. In addition, when firms are ambidextrous (i.e. have both types of flexibility), they are able to simultaneously obtain both exploratory and exploitative partnerships. The authors’ findings indicate that balancing network flexibility is critical when firms execute ambidextrous alliance strategies.

The authors’ use of survey data to measure network flexibility may limit our observations related to network evolution. In addition, the authors’ use of public annual reports to capture firm partnerships may cause us to ignore informal relationships between partners.

The authors’ empirical findings suggest that the types of partnerships firms develop depend on which types of flexibility they possess. The results further suggest that decision makers have to find a way to develop a balanced strategy between network configuration and manufacturing flexibility when they would like to develop an ambidextrous alliance strategy.

The authors’ study advances the understanding in the literature on supply chain flexibility and its ambidexterity by connecting network flexibility and ambidextrous alliance strategy. The authors offer a guide to supply chain managers in the area of network design.

With the trend toward implementing flexible strategies to channel management, the network sources of flexibility have received increased attention. This study aims to reveal the dynamic mechanisms underlying the relationship between a distribution network and two types of flexibility: adaptive and proactive.

The authors apply agent-based modeling to simulate a three-level distribution network. First, a program of 14 segmentations across 4 stages is developed using NetLogo software. Using data on Company X’s distribution network, the authors simulate a distribution network when either adaptive or proactive flexibility is implemented and compare the performance outcomes of the distribution network. Finally, by using the database generated from an experiment designed with BehaviorSpace, the authors conduct a general linear regression analysis to analyze the effect of network structure on the performance of the distribution network.

The authors find that the implementation of adaptive flexibility is connected with a higher level of trust and a lower level of inventory, whereas the implementation of proactive flexibility is associated with a higher level of satisfaction but a higher level of inventory. Also, this study’s analyses show that adaptive flexibility emphasizes short-term efficiency, whereas proactive flexibility put more emphasis on long-term effectiveness. In addition, the authors find that network structure has a significant effect on the distribution network by influencing inventory, satisfaction and trust.

Theoretically, this study’s results further develop the research on channel management by revealing the interaction between distribution networks and two types of flexibility from a dynamic (rather than static) perspective. Also, the findings help in explaining how network structure can affect the performance of a distribution network. In practice, the results also guide the focal firm in distribution channels to make strategic decisions between adaptive and proactive flexibility to improve channel performance.

The purpose of this paper is to address the key issues, how organizational networks influence the strategic business performance (SBP) through the mediating role of organizational flexibility, and the moderating role of entrepreneurial orientation (EO). Contextualizing small and medium enterprises in developing countries, the authors have developed and tested a theoretical model of SBP to provide a framework for analyzing its major antecedents.

This research used a quantitative approach with cross-sectional data. The authors used correlation, regression and Baron and Kenny Approach (Causal Step Approach) for analyzing the data collected from 737 CEOs/MDs/owners of different small and medium enterprises to test the theoretical model developed for this study.

Findings revealed that organizational flexibility mediates the relationship between organizational network and SBP. Furthermore, stronger EO strengthens the relationship between organizational flexibility and SBP.

This study contributes in two ways: first, it provides empirical evidences that how to flourish the mechanism of SBP in SMEs. Second, this work contributes to understand the effects of organizational networks, flexibility and EO on SBP.

This paper aims to examine how the characteristics of CEOs' social networks, such as the size of the network and the strength of the ties, influence strategic flexibility from a strategic orientation perspective. External social networks can affect strategic flexibility positively. Different orientations could have repercussions for the relationship between external social networks and strategic flexibility.

The data came from surveys completed by the managers of 188 Spanish firms. The methodology used was regression analysis.

The authors observe that external social networks affect strategic flexibility positively, more strongly when the networks are greater in size. The sample was classified into three groups: conservative, intermediate and entrepreneurship firms. The authors find that other effects vary according to the kind of strategic orientation in the organization. Both findings support and extend social capital and network theory and flexibility literature.

The interviews were held with Spanish CEOs, and the character of the research was cross‐sectional. This could have implications for the generalizability of the findings.

The authors' results extend previous research not only by highlighting the importance of CEOs' social networks in driving strategic flexibility but also by indicating how different strategic orientations either enhance or inhibit this relationship.

The present study aims to develop a strategic business performance (SBP) model for larger firms by examining the mediating role of structural flexibility in the network capability–SBP link, as well as testing the moderating role of entrepreneurial orientation in the relationship between structural flexibility and SBP.

Data were collected from 929 senior managers/owners of large textile sector firms operating in Pakistan. Regression and bootstrapping techniques were used to test the proposed relationships.

The results revealed that network capability positively shapes firms' structural flexibility, which, in turn, helps firms achieve SBP. The present work also showed that entrepreneurial orientation strengthens the positive relationship between structural flexibility and SBP.

This study is based on the cross-sectional data, and data were collected from the textile sector firms operating in Pakistan.

The findings suggest that managers should focus on developing firms' network capability, which positively shapes structural flexibility and helps firms achieve SBP. Entrepreneurial orientation can also play an imperative role for strengthening the link between structural flexibility and SBP.

The value of the present work rests on the deeper understanding of the network capability–SBP link that it offered by examining the relationships of the network capability dimensions with SBP through structural flexibility. Moreover, by bringing to the fore firms' entrepreneurial orientation as a moderator of the structural flexibility–SBP relationship, the study provided a new vantage point to uncover the complexities involved in the links between network capability, structural flexibility, and SBP.

The purpose of this study is to introduce strategic flexibility as an important dynamic capability into the field of strategic human resource management (SHRM) and explore its mediating role between network-building HR practices for top management team (TMT) and firm performance. Moreover, based on the context of transition economy in China, the authors examine environmental uncertainty as a moderator in these relationships and empirically test the questions above.

The authors have conducted questionnaire surveys on 780 top managers in 390 companies mainly located in Beijing, Tianjin, Shanghai, Jiangsu and Zhejiang and finally received 241 valid samples.

The results show that network-building HR practices have positive effects on firm performance and strategic flexibility plays a fully mediating role between them. In addition, environmental uncertainty moderates the relationship between network-building HR practices for TMT and strategic flexibility, while it has no moderating effect in the relationship between strategic flexibility and firm performance.

These conclusions have important implications for the development and application of SHRM in dynamic environments. Theoretically, the authors enrich the functions of network-building HR practices for TMT and provide the evidence to advocate the development of the innovative HR practices in China. In terms of the practical implications of the study, it is argued that network-building HR practices for TMT and strategic flexibility can help firms to deal with uncertainty and achieve high performance, which provides constructive guidance in the development of enterprises in the China's transition economy.

The paper aims to study the effect of external managerial social networks on strategic flexibility for a quality management (QM) perspective. External social networks can affect strategic flexibility positively. QM also contributes to developing these networks. However, there is currently a wide variety of alternatives for managing quality in organizations, such as ISO standards or the European Foundation for Quality Management model. Thus, different alternatives will influence the external social networks differently in ways that have repercussions for strategic flexibility. Testing these differences is the main purpose of this paper.

A total of 203 valid responses were classified in three groups: non‐QM, ISO, and total quality management (TQM) firms. Then, a comparative ANOVA analysis was performed to test differences among groups. Finally, different regressions were run to test the effects of external social networks (range, size and strength) on strategic flexibility depending of the observed group.

Paper results show that, depending on which QM initiative is implemented in the organization, the effects of external managerial networks on strategic flexibility vary. Thus, in organizations without QM, the range of external social networks influences strategic flexibility negatively, whereas in organizations with ISO standards, this negative effect disappears. In organizations with TQM, the paper finds the positive effect of both size and strength of relations in the networks.

The paper facilitates how to differentiate QM alternatives depending on their observed behavior.

A new perspective (QM) is observed to test how managerial networks affect strategic flexibility.

The purpose of this paper is to investigate supply chain management practices related to flexibility, value chain and capabilities. It describes an exploratory study to examine the interrelated factors to propose a research framework.

A comparative case study was conducted on several manufacturing organizations in the electrical and electronic industry, investigating the business drivers and response effect of a flexible value chain.

In general, all the organizations enhanced their manufacturing flexibility components with supply and logistic networks in order to be responsive to customers and gain tangible benefits. The core flexibility of the value chain can be defined from operational, supply and logistics perspectives where different levels of integration and implementation strategies offer different levels of flexibility response to volume and product mix.

Research through case survey requires further empirical investigation to quantify the determinants and the significance of the relationship theorized. However, the findings confirmed the practical aspect of manufacturers to consider flexibility in designing their value chain within the industry.

The paper highlights the fact that local manufacturers value the flexibility aspect of supply chains to stay competitive during demand uncertainties and being responsive to customers.

In response to highly volatile and uncertain environments, many firms have implemented flexible strategies and many management researchers have discussed the topic of flexibility. The purpose of this paper is to focus on distribution flexibility, the aspect of flexibility related to a downstream supply chain and to examine the construct of distribution flexibility and how organisations make strategic choices among different distribution flexibility strategies.

This work conducts an exploratory multiple case study which analyses four Chinese manufacturers from different industries (pharmaceutical, solid/liquid separation, electric appliances, and clothing).

The results show that, given different circumstances, firms might choose an appropriate distribution flexibility strategy (one focused on either physical distribution flexibility, demand management flexibility, coordination flexibility, or on distribution flexibility co‐alignment) which fits with their distribution environment in the contingency theory sense of matching. Furthermore, for implementation, they fit a given distribution flexibility strategy to both their distribution networks and their distribution performance outcomes in the sense of gestalts or covariance.

This paper has some limitations common to all case studies, such as the limited generalisability of results (since the sample of firms is not statistically significant) and the potential subjectivity of the analysis.

The paper contributes to the existing literature by empirically investigating the dimensions of distribution flexibility, by considering how an organisation develops a distribution flexibility strategy in order to adapt to a particular environment, and by suggesting that final performance outcomes may arise through a variety of different distribution flexibility strategies.