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The purpose of this paper is to study the operation mechanism of the ecosystem of crowd innovation space. Though the crowd innovation space is a new product of China's innovation-driven strategy, there are some barriers in operation. So, this problem is worthy of study.

In this study, data were obtained through four-month field investigation and semistructured interview, then classified and analyzed through grounded theory, because grounded theory is conducive to the exploration and discovery of new theories.

This study finds that the relationship between makerspace and entrepreneurs is strong social relational embeddedness. The relationship between crowd innovation space and governments and investment institutions is economic relational embeddedness. Under these social network ties, entrepreneurs, crowd innovation space, social investment institutions and so on can interact directly with each other to different degrees, carry out value cocreation activities and improve the benefits of all elements in the ecosystem and the ecosystem itself.

This study researches the operation mechanism of crowd innovation space ecosystem and identifies the ties between various elements in the ecosystem on the perspective of social network, which is conducive to improve the self-generating capacity of crowd innovation space and enhance the success rate of entrepreneurship.

The purpose of this paper is to investigate how focal firms in supply networks manage weak and strong ties for exploration and exploitation innovation in mature industries. In doing so, the paper extends the understanding of how focal firms manage open innovation (OI).

The empirical base is a multiple case study conducted on three companies operating in mature industries in Europe.

Findings of this study reveal, analyze and explain a diverse set of OI practices in the supply networks of mature industries in which the focal firms integrate strong and weak supply ties to enhance innovation outcomes. This study provides a fine-grained view of the benefits of the additive and interactive effects of strong and weak ties in OI. More specifically, the analysis reveals an enhancing role of strong supply ties in exploration, which previously was associated solely with weak ties. Moreover, this study sheds light on the dominant and orchestrating roles of focal firms.

The findings provide insights to enhance OI practices beyond the limited role of the weak ties of the supply network and highlight the essential role of the strong supply ties in mature industries.

While previous studies have associated exploration with weak ties, findings of this study reveal that exploration-oriented activities in mature industries also extend to strong ties. In the strong ties of mature industries, this study finds there is not only the exploitation of existing knowledge but also the reconfiguration and innovation of products.

The purpose of this paper is to review existing literature on organizational learning (OL) through networking activities in tourism and hospitality (T&H) research. Referring to theories and concepts from the mainstream literature in OL and inter-organizational network research, the study provides an overview of the existing level of knowledge in T&H research, elaborates theoretical and practical implications and suggests future research directions.

A systematic literature review approach was used to identify and analyze relevant literature. The literature search involved six scientific online databases, namely, EBSCOhost, Emerald, ProQuest, Sage, ScienceDirect and Web of Knowledge, which were systematically scanned with defined keywords. Relevant articles were evaluated, selected, analyzed and synthesized to find out what is already known and what is yet to be known.

A total of 69 articles were identified that present insights into OL through networking activities in T&H research. The review reveals that the resource, and especially the knowledge-based view of the firm, social capital theory, the relational view and trust and agglomeration theory represent insightful theoretical approaches to study OL phenomena and OL outcomes such as innovation, value creation and competitive advantage.

According to the author’s information, this paper represents the first attempt to provide a comprehensive review of T&H-specific OL literature from a network perspective. The findings call for increased attention to this research field, especially regarding the adaptation of OL concepts to a T&H-specific context as a networked industry.

This study aims to develop a competitive dynamics model of container shipping liners, one which examines how inter-firm network embeddedness would affect inter-firm rivalry such as the likelihood of a competitive action of a focal firm and the likelihood of its rivals’ response and how the inter-firm rivalry then has an influence on the market share of the focal firm. Structural and relational network embeddedness between a focal firm and its competitors would be investigated as drivers of the likelihood of the competitive action and response. The theoretical framework on the relationship between network embeddedness, inter-firm rivalry and market share in the liner shipping industry will be developed and relevant propositions are then suggested in relation to the model. This attempt may provide meaningful insights for managers and academic researchers into the key factors which affect the inter-firm rivalry between shipping liners and may also detail the impact of inter-firm rivalry on the focal firm’s market share. This research would therefore contribute to the development of the competitive strategy of container shipping companies so as to help them strategically manage their rivals’ competitive behaviors and maximize their market share.

As intermodal logistics networks play a crucial role in enhancing the entire logistics performance, effectively managing the intermodal logistics network has become a significant strategic consideration in international logistics. The existing literature stresses that inter-organizational knowledge exchange is essential to successfully integrating logistics components and for maximizing logistics performance in the long run. These contentions ensure that knowledge exchange between intermodal logistics network entities-such as shipping lines, port terminal operators, freight forwarders, road and rail freight operators and other related logistics operators-are key factors in facilitating the successful integration of an intermodal logistics network because an intermodal logistics network is an integrated part of the entire international logistics system. This paper aims to investigate the question of how intermodal logistics network entities can successfully exchange knowledge with each other, and whether the knowledge exchange can contribute to the effective integration of the intermodal logistics network. For this, this paper adopts the social network embeddedness perspective in order to identify a useful inter-organizational relationship mechanism within the intermodal logistics networks, allowing the facilitation of knowledge exchange among the network players. A conceptual framework will be developed for the exploration of the aforementioned relationships between the social network mechanisms, i.e. network density, tie strength, knowledge exchange among network entities, and intermodal logistics network integration. Following the parameters of this framework, the theoretical and practical implications will be discussed.

Firms embedded in networks of relations are theorized through Gnyawali and Madhavan’s (2001) (G&M) structural embeddedness model to gain competitive advantage from topological characteristics. Empirical studies to support their theory have never been executed in full. Our study provided a full empirical test of their model in a digital trading network to achieve a higher degree of certainty that those network structural characteristics can have a major impact on the degree to which certain firms lead to competitiveness in a digital trading network environment.

To examine how firms respond in competitive situations, we chose the hyper-active digital trading network, eBay as our empirical context. We used eBay auction data to analyze how the network characteristics of eBay resellers impact their competitive behaviors.

Our study found strong support for the G&M model of competitiveness. We offer explanations for where support was not as strong as the Gynawali and Madavan theory proposes.

Our research is limited by our chosen context and findings in support of part of G&M model. Future studies in other digital contexts are needed to enhance the modeling of network topologies and further study the impacts of network density and structural autonomy on competitive action.

Our study suggests that managers proceed cautiously in forming partnerships, weighing circumstances where the firm can find itself with increased information power and avoiding, to the greatest extent possible, situations where the playing field is roughly equal.

Theory-making in this domain has begun as well as initial empirical testing. Much more needs to be accomplished, though, before embeddedness modeling can be thought of as being well established.

The G& M Model of competitiveness is an SNA explanation of why some competitive units succeed and others do not. Our study is the first, full blown empirical analysis of the theory.

This study investigates the extent to which structural equivalence between acquiring and target firms is associated with post-merger and acquisition (M&A) performance—a relationship that is proposed to be moderated by industry-level vertical relatedness between acquiring and target firms.

Applying social network analysis and regression, this study analyzes a buyer–supplier relationship network dataset of 279 M&A deals completed between 2010 and 2017 to test the hypotheses. Structural equivalence is measured as the proportion of common customers and suppliers between an acquiring firm and a target firm.

Supporting a view about the importance of supply chains in explaining M&As outcomes, the results suggest that the structural equivalence in the supplier network is positively associated with post-M&A firm performance. The results also show that the effect of the structural equivalence in the customer network is moderated by vertical relatedness between two merging firms (i.e. structural equivalence contributes to post-M&A performance when vertical industry relatedness is high).

This study contributes to the M&A and supply network literature by investigating the performance implications of structural equivalence in supplier and customer networks, demonstrating the importance of taking a supply chain view when explaining M&As outcomes. Specifically, the authors suggest considering structural equivalence as a new type of relatedness between merging firms (i.e. relatedness in network resources in explaining post-M&A performance). It also indicates how industry-level vertical resource relatedness, which is about relatedness in internal resources between the two firms, could interact with firm-level network resource relatedness, which is about relatedness in external supply chain resources between the two firms, in affecting post-M&A performance.

Effectively managing an intermodal logistics network has become a significant strategic consideration in international logistics. This study aims to empirically examine the way in which intermodal logistics network coordination can be successfully developed and sustained, and to analyze whether the highly coordinated intermodal logistics network may facilitate the greater logistics performance of network players as well as of the entire intermodal logistic network system. This study adopts social network embeddedness perspective to examine the determinants facilitating the higher level of coordination of the intermodal logistics network. An explorative interview method is being employed for the empirical analysis, and the results show that strong, dense and bridging ties within the network mechanisms facilitate a greater intermodal logistics network coordination. As a result, this helps to enhance the logistics performance of the intermodal logistics network system and its players by facilitating the enhancement of logistics services effectiveness and operational efficiency.

Against the theoretical backdrop of the embeddedness and the resilience literatures, this paper investigates if and how SMEs' planning for adversity affects firms' performance.

The paper develops hypotheses that investigate the link between the risk management of immigrant-led and native-led SMEs and their performance and draw on novel data from a survey on 900 immigrant- and 2,416 native-led SMEs in 5 European cities to test them.

Immigrant-led SMEs are less likely to implement an adversity plan, especially when they are in an enclave sector. However, adversity planning is important to enhance the growth of immigrant-led businesses, even outside a crisis period, and it reduces the performance gap vis-à-vis native-led businesses. Inversely, the positive association between adversity planning and growth in the sample of native entrepreneurs is mainly driven by entrepreneurs who have experienced a severe crisis in the past.

This paper empirically uses planning for adversity as an anticipation stage of organizational resilience and tests it in the context of immigrant and native-led SMEs. Results support the theoretical reasoning that regularly scanning for threats and seeking information beyond the local community equips immigrant-led SMEs with a broader structural network which translates into new organizational capabilities. Furthermore, results contribute to the process-based view of resilience demonstrating that regularly planning for adversity builds a firm's resilience potential, though the effect is contingent on the nationality of the leaders.

The purpose of this research is to investigate the causal mechanisms that explain the relationship between the long-term buyer–supplier relationship and buyer performance. Building on the growing body of research on social capital in supply chain management (SCM), the authors examine how a buyer achieves superior performance in forming the enduring partnership with a supplier through two different forms of supplier embeddedness: buyer–supplier dyadic embeddedness and supplier external embeddedness.

The bootstrapping method is utilized in data analysis to examine the mediating effects of the two different forms of supplier embeddedness simultaneously on the linkage between the duration of buyer–supplier relationships and buyer performance outcomes.

The authors find that the two forms of supplier embeddedness serve as distinct conduits for the buyer to translate the long-term buyer–supplier relationship into performance effectiveness. Notably, dyadic embeddedness only mediates the linkage between the duration of buyer–supplier relationships and buyer economic performance, while supplier external embeddedness solely mediates the linkage between the duration of buyer–supplier relationships and buyer innovation performance.

This study empirically demonstrates that different forms of supplier embeddedness may benefit a buyer differentially when directed at distinct performance goals. If a buyer can leverage both buyer–supplier dyadic embeddedness and supplier external embeddedness, the buyer will overcome value creation limitations of social capital from a single source, obtaining more comprehensive performance benefits sought by developing long-term buyer–supplier relationships.