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The purpose of this study is to explore the configuration of network ties that would have a positive impact on performance outcomes and test the presumed impact of multilevel strategic alliances on innovation and firm performance in a specific industry.

This study comprises part of a larger project on the network relations of yacht-building firms operating in Turkey. Data of the study was collected through face-to-face interviews and questionnaires with 143 yacht-building firms operating in major yacht-building regions of the country.

The findings of the study indicated the presence of meaningful relationship between total number of (strong) network relations perceived as strategic alliance and overall innovation performance. The generally presumed positive relationship between innovation performance and firm performance was supported. The type of innovation performance that was found to be related to the total number of network ties perceived as strategic alliance at national and global levels was product innovation performance.

A possible contribution of this study for industry members would be the implications of the finding that indicates positive impact of strategic alliances with different actors of the industry.

This study contributes to the exploration of network configurations that have a positive impact on innovation and firm performance, by dealing with the impact of the size, strength and geographical level of network relations in one single study. The yacht-building industry as the empirical setting represents a specific category of industry that rests on customized individual or small-batch manufacturing requiring considerable interaction with customers and suppliers. Because no study exists on this topic, findings can inspire similar industries.

The purpose of this study is to examine how formal contracts affect alliance innovation performance. To understand the mechanism underlying the impact, this study tests whether relationship learning mediates the impact of formal contracts on alliance innovation performance and how guanxi moderates the mediating effect.

This study is conducted with a sample of 225 manufacturers in China. This paper used hierarchical regression analysis to test the hypotheses and used the PROCESS method to test the mediating effect of relationship learning.

Formal contracts positively affect relationship learning, which facilitates alliance innovation performance. Guanxi positively moderates the effect of formal contracts on alliance innovation performance. Relationship learning mediates the relationship between formal contracts and alliance innovation performance. Moreover, guanxi positively moderates the mediating effect.

Future research could investigate factors moderating the effect of guanxi on alliance innovation performance and moderating the effect of relationship learning on alliance innovation performance. Future research can also use secondary data to measure alliance innovation performance. Future researchers can examine how guanxi as a relational mechanism governance affects relationship learning.

Managers should conduct relationship learning in the process of alliance innovation and realize that reducing opportunism does not mean improving innovation performance. Moreover, managers should know that guanxi could contribute to alliance innovation performance with the help of formal contracts.

Prior studies have mainly focused on the fundamental requirement of governing knowledge exchange in alliances. Little is known about the mediating effect of relationship learning on the relationship between formal contracts and outcomes of innovation alliances. This study contributes to the literature by filling the gap.

The purpose of this paper is to examine the relationships between environment turbulence, knowledge transfer and innovation performance for emerging market multinationals (EMNEs) in an asymmetric international R&D alliance.

Data were collected through a survey of high-tech firms in Zhejiang Province of China from 2013 to 2015.

Innovation performance of EMNEs is positively influenced by knowledge transfer activities (knowledge replication and knowledge adaption), technological and market turbulence, while negatively influenced by institutional turbulence. In addition, different aspects of environmental turbulence moderate the relationship between knowledge transfer practices and innovation performance of EMNEs differently.

Future studies could use a longitudinal design to capture the dynamism driving innovation performance of EMNEs through R&D alliances.

Practical guidelines are provided particularly for EMNE managers on how to develop an innovation strategy by leveraging external knowledge, adaptive innovation and environmental turbulence.

This study deepens the knowledge of how EMNEs enhance their innovation by building the linkage between environmental turbulence and absorptive capacity through knowledge transfer activities in an asymmetric international R&D alliance.

Despite the rising interest in eco-innovation, few studies have examined how open innovation (OI) actually increases eco-innovation performance. Drawing on capabilities theory, this study aims to investigate how two specific organizational capabilities (alliance management capability and absorptive capacity) individually complement OI strategies (inbound and outbound) to increase eco-innovation performance, while taking into consideration high and low levels of environmental uncertainty.

To test the hypotheses, the authors used a primary survey and secondary proxy data sources from 232 Taiwan-based manufacturing firms. The authors collected survey data for measuring OI strategies, followed by secondary proxy data for measuring alliance management capability, absorptive capacity, environmental uncertainty and eco-innovation performance.

The results indicate that in highly dynamic environments, alliance management capability complements inbound/outbound strategies to increase eco-innovation performance. However, absorptive capacity complements only inbound strategies, not outbound strategies.

These findings have important implications for managers attempting to increase eco-innovation performance by using OI in dynamic environments.

The findings provide new evidence that configurations of OI alone are not enough for increasing eco-innovation performance. Instead, firms’ eco-innovation benefits more when OI are complemented by alliance management capability.

This study makes an original contribution to the eco-innovation literature by demonstrating how organizational capabilities complement OI to increase eco-innovation performance in dynamic environments.

The purpose of this study is to investigate whether repeated alliances between two members of a patent pool boost enterprise innovation. Furthermore, this paper intends to determine whether the innovation performance becomes higher or lower based on the partnership characteristics.

In this empirical study, hierarchical regression is used to analyze the longitudinal data obtained from 12 patent pools managed by MPEG LA during a time period ranging from 2006 to 2018. The members of patent pools comprise research institutions, firms and universities. Research analyses are performed based on a sample of 68,400 member pairs who had established repeated alliances. The information regarding such pairs is gathered from public databases.

Repeated alliances positively correlate with enterprise innovation performance in patent pools; this performance is higher when the two enterprises have exploratory collaborations. Conversely, the performance is lower when the partners have a similar technology base and are engaged in a technological competition (competitive learning and patent litigation). Moreover, the performance is lower when one partner demonstrates higher network centrality and richer structural holes than the other partner.

Patent pools play an instrumental role in eliminating patent-licensing barriers, thereby allowing mutual acquisition of complementary technologies, and cooperatively strengthening technology development. From the perspective of theories of coopetition, knowledge management and social network, this study explores the impact of patent pools on enterprise innovation performance and ascertains the moderating roles of technology coopetition, technology similarity and network position, thereby expanding the scope of innovation effect in the context of patent pools.

The purpose of this paper is to find the relationship between alliance partner selection and innovation performance of technological standard alliance in China.

The authors designed the selection factors of alliance partners in terms of reputation, compatibility and technological standardization ability and, based on the empirical research data, analyzed the correlation between partner selection and innovation performance using the method of cross validation statistically.

It was found that the selection of alliance partners would directly affect the operation and management of technological standard alliance in China. Appropriate partners among technological standard alliance will play a significant role in improving partners' independent innovation capability. The empirical results showed that potential cooperative partners' reputation, compatibility and standardization ability had an obvious effect on innovation performance.

The paper finds and verifies the key index of alliance partner selection. This result can provide some important references for managers when selecting appropriate cooperative partners. Technological standard alliance managers can evaluate potential cooperative partners according to the index of reputation, technological standardization ability and compatibility designed in this paper. High‐tech firms can cultivate their cooperative innovation ability to adapt to the demands of technological standard alliance according to the key index.

This study delves in the controversy about the nature and the sign of the effect of strategic alliances and exploration and exploitation capabilities on innovation and new product development. The paper analyses the effects of knowledge sharing and strategic alliances relationships at the firm level. Specifically, we study the influence of strategic alliances relationships in new product development and the mediating role of exploration and exploitation as dynamic capabilities.

This investigation proposes a theoretical model tested using structural equation modeling (SEM). The multigroup analysis was performed to understand the moderating role of. A questionnaire survey was developed to explore the relations between strategic alliances and innovation and new product development variables. For this study, 387 valid questionnaires were collected from a sample of Portugal SME' firms. A 90-item questionnaire was submitted to employees managers of a large number of Portuguese SMEs, which consists to study the relationships among all the variables.

The results show that exists a positive direct influence of strategic alliances on innovation and new product development, and mediating impact the exploration and exploitation by the moderating role of knowledge sharing.

This study has some methodological limitations affecting its potential contributions. A cross-sectional study that captures one image in time and its ability to identify strict causality between variables is limited. Furthermore, the results are based on log collected from a key respondent, rather than broader actual data. The results are restricted to one country, Portugal. Future research should initially target different countries. Such research could then test the generalizability of the results.

To fill this managerial relevance gap, we propose a process model in which the main antecedents of alliance stability will be examined. We argue that an alliance's evolutionary dynamics depend on these factors and variables that the partners must assess and manage over its developmental stages. In this sense, managers have significant scope to influence the ultimate success of strategic alliances. This study highlights the need to actively manage the cooperation – competition (coopetition) tension with the alliance partner and to apply the knowledge acquired from the partner to create new knowledge to enhance innovative performance

This paper contributes to fill the gap between strategic alliances and new product development mediated by exploration and exploitation in the dynamic capabilities view.

So as to understand the effects of network resources on firm innovation and performance within alliances and networks, this paper aims to examine the correlation between network resources and innovation performance through the mediation of capability accumulation and relative bargaining power.

Drawing on a survey of 208 Chinese firms engaged in global production networks, this paper extracts four sets of hierarchical regressions to test the impact of network resources on innovation performance.

Results show that network resources are an important source of competitive advantage and the distinction between accessed resources and embedded resources is critical. Other than through direct influences, innovation performance was partly achieved through the mediating role of technological capability and relative bargaining power.

Building upon the data introduced in this paper, future studies may examine the effects of network resources in different contexts and the interaction between external and internal resources.

For firms competing within and between various networks, the forming and utilizing of network resources become a new source of competitive advantage. Hence, careful planning and a consideration of network resources should be undertaken to achieve improvements to a firm's performance.

First, this paper adds value to the network resource construct by distinguishing two different dimensions. Second, by integrating the mediating effects of technological capabilities and relative bargaining power, this paper reveals the mechanism by which network resources impact innovation performance within various network structures.

The purpose of this paper is to develop a conceptual framework and propositions on a capability-based view that examine the role of a firm’s primary type of alliances, i.e., exploration or exploitation, in the determinants and impact of alliance portfolio capability.

This is a conceptual research paper, which builds on prior conceptual and empirical management research.

Regarding determinants, capability-based arguments indicate that firms with an emphasis on exploration alliances have higher levels of alliance portfolio capability. However, a focus on exploration alliances aggravates the development of alliance portfolio capability through alliance experience and a dedicated alliance function. Regarding impact, alliance portfolio capability may positively affect a firm’s alliance, innovation, and financial performance. While alliance portfolio capability is assumed to have an equally positive effect on alliance performance for all types of alliance portfolios, a relative focus on exploration alliances is expected to limit the positive effects of alliance portfolio capability on innovation and subsequent financial performance.

These new conceptual arguments help to reconcile inconsistent earlier findings, and they deepen the understanding of interfirm differences in alliance portfolio capability and performance.

Trust and control through contracting have been juxtaposed in many studies addressing interorganizational collaboration and knowledge exchange. In this study, the authors move from the opposite ends of a continuum between trust as an attitude and control exercised through formal contracts toward the center of the continuum where trust and contracting start to show similar features. The authors ask how trust in its analytical form and control gained through establishing informal protection for knowledge assets affect the innovation and market performance of firms engaged in research and development (R&D) alliances.

The authors examine the existing literature and conduct a quantitative empirical study to answer the research question.

The authors find, first, that controlling an organization’s own knowledge assets in R&D alliances with informal means of protection can be more effective than a strategy of controlling the alliance through formal contracts. Second, the authors find that an analytical audit of partner trustworthiness, and especially partner capabilities and goodwill can be more effective than trust as an attitude.

The findings support softening the sharp distinction between trust and control and provide evidence on the relevance of highlighting the firm point of view in knowledge management in R&D alliance governance.

The study adds to the existing understanding of trust and control in R&D alliance governance. Specifically, the authors turn the focus from interorganizational governance to intra-organizational knowledge management measures, and particularly toward how a focal actor can take an analytical approach to evaluate partner trustworthiness and use informal control in protecting its own knowledge assets. Consequently, this study also provides a plausible explanation for the contradictory findings in studies that examine the relationship between trust and control. The study indicates that depending on the specific nature of trust and control, they can be either a complement or a supplement factors: the extreme forms of trust and control are notably different from those forms that share similar features.