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The purpose of this paper is to investigate how international R & D alliances are formed during industry transition from the point of view of the local Chinese partner.

Review of industry data provided by Chinese Statistical Office coupled with four in-depth case studies.

The nature of the technology, the characteristics of partners and the previous cooperation experience between partners are significantly related to the R & D alliance formation. The research also suggests that during this fast-growing transition period, Chinese local firms preferred non-equity contractual agreements over equity joint venture such as R & D alliance modes, and Chinese local firms favoured American and European multinational corporations (MNCs) as their alliance partners over MNCs from other countries, including the highly developed Japan and Korea.

Single-industry focus (telecommunications), and anonymization of cases because of confidentiality of case firms. Single-country focus (China).

Firms in China and other emerging countries can improve their technological capability (TC) by choice to facilitate future alliance formation to access and learn the latest technology from their alliance partners, especially during the transition period of an industry and when mature and emerging technologies co-exist.

This paper refines alliance theory by focusing on an industry in transition and analyses formation decision factors from the point of view of the smaller domestic partner – usually studies do not differentiate as to industry maturity and inequality between partners.

Scientific collaborations represent informal external ties that together with formal R&D alliances constitute a multichannel knowledge sourcing network in science-based industries. Although such multichannel knowledge sourcing benefits firms by providing more thorough access to external sources, it also entails potentially significant redundancies worthy of consideration. This paper aims to take a step by first verifying their existence, followed by an examination of key contingencies determining the extent of these redundancies, i.e. firm absorptive capacity, balanced utilization of ties and firm size.

This is an empirical study that uses scientific collaborations and R&D alliances of US pharmaceutical companies to test the proposed hypotheses.

This paper verifies the existence of multichannel knowledge sourcing redundancies, followed by an examination of key contingencies determining the extent of these redundancies, i.e. firm absorptive capacity, balanced utilization of ties and firm size.

To the knowledge, this is a first attempt at clarifying redundancies in innovative knowledge sourcing and their implications for firm innovation performance.

Las colaboraciones científicas representan vínculos externos informales que, junto con las alianzas formales de I + D, constituyen una red de abastecimiento de conocimiento multicanal en industrias basadas en la ciencia. Aunque esta fuente de conocimiento multicanal beneficia a las empresas al proporcionar un acceso más completo a fuentes externas, también implica impotantes potencailes redundancias que merecen consideración. Dichas redundancias tienen su origen en conocimientos específicos que se superponen y en los requisitos de recursos clave similares, incluido el presupuesto y prsonal de investigación. A pesar de su importancia, la literatura no ha ofrecido una descripción completa de las posibles causas y contingencias de estas redundancias. El presente estudio da un paso en esta dirección al verificar primero su existencia, seguido de un estudio de las contingencias clave que determinan el alcance de estas redundancias.

este es un artículo empírico que utiliza el contexto de la industria farmacéutica para probar la interacción entre las colaboraciones científicas y las alianzas de I + D como impulsores del desempeño de innovación de una empresa farmacéutica que se manifiesta en la productividad de sus patentes.

El análisis empírico revela que el efecto de las colaboraciones científicas y las alianzas de I + D es de hecho parcialmente sustitutivo o redundante, y que dicha redundancia es mayor para las empresas con baja capacidad de absorción, utilización desequilibrada de los dos tipos de vínculos externos y su tamaño.

Este es uno de los primeros intentos empíricos de explorar los efectos sustitutivos de las colaboraciones científicas y las alianzas de I + D a nivel de empresa. La incorporación de contingencias clave como la capacidad de absorción, la utilización equilibrada de las relaciones y el tamaño de la empresa mejoran aún más la novedad y originalidad de nuestra investigación.

Colaborações científicas representam links externos informais que, juntamente com alianças formais de P&D, constituem uma rede de fornecimento de conhecimento multicanal em indústrias baseadas na ciência. Embora essa fonte multicanal de conhecimento beneficie as empresas ao fornecer um acesso mais completo a fontes externas, ela também envolve redundâncias potenciais significativas que merecem consideração. Essas redundâncias resultam da sobreposição de conhecimentos específicos e requisitos de recursos chave semelhantes, incluindo orçamento e pessoal de pesquisa. Apesar de sua importância, a literatura não fornece uma descrição completa das possíveis causas e contingências dessas redundâncias. O presente estudo dá um passo nessa direção, primeiro verificando sua existência, seguido por um estudo das contingências-chave que determinam a extensão dessas redundâncias.

Este é um artigo empírico que usa o contexto da indústria farmacêutica para testar a interação entre colaborações científicas e alianças de P&D como impulsionadores do desempenho inovador de uma empresa farmacêutica manifestada na produtividade de suas patentes.

A análise empírica revela que o efeito das colaborações científicas e alianças de P&D é de fato parcialmente substituto ou redundante, e que a referida redundância é maior para empresas com baixa capacidade de absorção, utilização desequilibrada dos dois tipos de links externos e seu tamanho.

esta é uma das primeiras tentativas empíricas de explorar os efeitos substitutos de colaborações científicas e parcerias de P&D no nível da empresa. Incorporar contingências importantes, como capacidade de absorção, utilização equilibrada de relacionamentos e tamanho da empresa, aumenta ainda mais a novidade e originalidade de nossa pesquisa.

The purpose of this paper is to define co-exploitation, co-exploration, and alliance ambidexterity from the perspective of organizational learning; to analyze how knowledge bases, structural arrangements, and control mechanisms of R&D alliances influence co-exploitation and co-exploration; and to discuss how to achieve alliance ambidexterity by managing paradoxes around knowledge bases, structural arrangements, and control mechanisms.

This is a conceptual paper focussing on how to balance exploitation and exploration at the alliance level through managing three paradoxes of cooperation: similarity vs complementarity, integration vs modularity, and contracts vs trust.

While technological similarity, structural integration, and contracts are more likely to promote co-exploitation, technological complementarity, structural modularity, and trust are more likely to facilitate co-exploration. Alliance ambidexterity, which is beneficial for alliance performance, derives from either the combination of technological complementarity, structural integration, and contracts, or the combination of technological similarity, structural modularity, and trust temporally.

Researchers should analyze the possibility of building alliance ambidexterity in other types of interorganizational relationships, and find other possible antecedents of interorganizational learning.

Managers should not simply treat R&D alliances as one of exploratory interorganizational relationships, but pay equal attention to co-exploitation and co-exploration. To achieve this balance, practitioners should combine technological complementarity with structural integration and contracts, or integrate technological similarity with structural modularity and trust.

This paper is one of the first contributions that analyze how an R&D alliance could gain its ambidexterity through the management of nested cooperation paradoxes.

Drawing upon the importance of research and development (R&D) alliances in driving firm innovation performance, extant research has analyzed individually the impact of R&D alliance partner attributes on firm innovation performance. Despite such analyzes, research has generally underestimated the configurations of partner attributes leading to firm innovation performance. This research gap is interesting to explore, as firms involved in R&D alliances usually face a combination of partner attributes. Moreover, gaining a better understanding of how R&D partner attributes tie into configurations is an issue that is attracting particular interest in coopetition research and alliance literature. This paper aims to obtain a better knowledge of this underrated, but important, aspect of alliances by exploring what configurations of R&D alliance partner attributes lead firms involved in R&D alliances to achieve high innovation performance. To tackle this question, first, this study reviews the extant literature on R&D alliances by relying on the knowledge-based view of alliances to identify the most impactful partner attributes on firms’ innovation performance. This paper then applies a fuzzy set qualitative comparative analysis (fsQCA) to explore the configurations of R&D alliance partner attributes that lead firms involved in R&D alliances to achieve high innovation performance.

This study selects 27 R&D alliances formed worldwide in the telecom industry. This paper explores the multiple configurations of partner attributes of these alliances by conducting a fsQCA.

The findings of the fsQCA show that the two alternate configurations of partner attributes guided the firms involved in these alliances to achieve high innovation performance: a configuration with extensive partner technological relatedness and coopetition, but no experience; and a configuration with extensive partner experience and competition, but no technological relatedness.

The research highlights the importance of how partner attributes (i.e. partner technological relatedness, partner competitive overlap, partner experience and partner relative size) tie, with regard to the firms’ access to external knowledge and consequently to their willingness to achieve high innovation performance. Moreover, this paper reveals the beneficial effect of competition on the innovation performance of the firms involved in R&D alliances when some of the other knowledge-based partner attributes are considered. Despite these insights for alliance and coopetition literature, some limitations are to be noted. First, some of the partners’ attributes considered could be further disentangled into sub-partner attributes. Second, other indicators might be used to measure firms’ innovation performance. Third, as anticipated this study applies fsQCA to explore the combinatory effects of partner attributes in the specific context of R&D alliances in the telecom industry worldwide and in a specific time window. This condition may question the extensibility of the results to other industries and times.

This study also bears two interesting implications for alliance managers. First, the paper suggests that R&D alliance managers need to be aware that potential alliance partners have multiple attributes leading to firm innovation performance. In this regard, partner competitive overlap is particularly important for gaining a better understanding of firm innovation performance. When looking for strategic partners, managers should try to ally with highly competitive enterprises so as to access their more innovative knowledge. Second, the results also highlight that this beneficial effect of coopetition in R&D alliances can be amplified in two ways. On the one hand, when the partners involved in the alliance have not yet developed experience in forming alliances. Partners without previous experience supply ideal stimuli to unlock more knowledge in the alliance because new approaches to access and develop knowledge in the alliance could be explored. On the other hand, this paper detects the situation when the allied partners are developing technologies and products in different areas. When partnering with firms coming from different technological areas, the knowledge diversity that can be leveraged in the alliances could drive alliance managers to generate synergies and economies of scope within the coopetitive alliance.

Extant research has analyzed individually the impact of R&D alliance partner attributes on firm innovation performance but has concurrently underestimated the configurations of partner attributes leading to firm innovation performance. Therefore, this paper differs from previous studies, as it provides an understanding of the specific configurations of R&D alliance partner attributes leading firms involved in R&D alliances to achieve high innovation performance.

The purpose of this paper is to examine whether alliance portfolio R&D intensity contributes to biopharmaceutical firms' number of new product approvals and whether alliance portfolio R&D intensity is more positively related to the number of new product approvals for pharmaceutical firms than for biotechnology firms.

The paper employs a random effects Poisson regression model using panel data of 821 firm year observations for 146 biopharmaceutical firms operating in the USA. The robustness of results is also checked with additional analysis, provided in an appendix.

The results of this study show that the R&D intensity of firms' alliance portfolios is positively related to their new product introductions. It is also found that alliance portfolio R&D intensity has a more positive impact on the pharmaceutical segment of the industry's new product introductions than those of the biotechnology segment.

The authors develop and test theory about how the combined effects of two dimensions of alliance portfolio configuration (size and relationship strength) positively impact new product development. The authors propose a two dimensional alliance portfolio configuration measure, alliance portfolio R&D intensity. They combine the number of R&D alliances relative to the total number of alliances in the portfolio with the differential strength of ties associated with resource commitments required to source information from upstream and downstream alliances.

Despite increasing research on the social nature of entrepreneurial collaboration in the context of alliances, its performance implication has been under debate. The present study tests a theoretical framework to elucidate the mediated relationship between social capital (SC) and research and development (R&D) alliance performance through the entrepreneurial orientation (EO) of alliance firms.

Based on the authors’ literature review, SC is conceptualized as the sum of actual and potential assets, including structural, relational and cognitive capital, embedded within the networks of alliance partners. Alliance performance is regarded as a combination of technological performance and business performance, corresponding to the mutual and private benefits of R&D alliances, respectively. This study hypothesizes the potential impact of SC on alliance performance and the mediating role of EO in the relationship.

The results from an analysis of 218 Korean ventures that participated in R&D alliance projects as focal alliance partners show that each SC dimension drives alliance firms to enact EO, which eventually leads to increased performance in technology and business. Specifically, EO contributes to translating the implications of SC for technological performance partially and for business performance completely.

This study links fragmented theoretical perspectives in research, shedding new light on the importance of social nature in the context of R&D alliances, which conditions entrepreneurial collaboration for better alliance performance. The findings suggest that practitioners should adopt an ambidextrous approach to the SC–EO interface at the alliance level, which opens a gateway to achieve greater performance by alliance.

While the ICT industry as a whole is undergoing a potentially disruptive phase of development due to the convergence between information and telecom technologies and the rapid diffusion of internet‐related applications. Against this background the purpose of the paper is to analyse recent patterns of internal/indigenous and external diversification of prominent Finnish telecom firms using data on patents and strategic R&D alliances.

The methodology comprises of statistical analyses of patterns of patenting of Finnish telecom firms to capture the internal/indigenous nature of diversification, compared with patterns of external diversification based on a new database of alliances of Finnish firms.

The results indicate that the Finnish telecom industry has diversified its technological base in recent years. The industry appears internally/indigenously weak in internet‐related “new” telecom technologies and related applications. However, telecom firms have also extensively engaged themselves in complementary R&D alliances in these fields.

The paper carries important implications for policymakers and managers alike related to the sustainability of previous success of Finnish telecom. Limitation related to the use of Finnish patent data that might to capture software technologies sufficiently, and does not aim to/cannot capture the diversified technological competencies of Nokia on a global level.

The originality of the paper lies in the combination of patent and R&D alliances data, as well as the development of a concordance table to link technology classes to broader developments in the industry, for a novel and systematic analysis of the responsiveness of the Finnish telecom industry to ICT convergence

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.

This study investigates the conditions that shape the contractual structure of pharmaceutical-biotechnology R&D agreements and whether these collaborations have produced measurable impact on the overall R&D productivity of pharmaceutical companies. In one section, the effect of uncertainty due to the advances in technology on the structure of R&D contracts is discussed. Specifically, it is shown that newer technologies associated with higher uncertainty result in the choice of more hierarchical contract structures. In addition, the significance of R&D collaborations on the overall innovation process of pharmaceutical companies is evaluated. The results indicate that only some types of R&D alliances, signed in earlier stages of research, have a significant role in the patent production and drug discovery process.

This paper examines the impact of technological alliance announcements in a nonfavorable environment, using event study methodology that includes robust tests to allow heteroskedasticity across firms and over time. The study is based on Spanish data, and focuses on the fact that Spanish market conditions do not favor firms that are deciding whether to enter a technological alliance. The paper is extended to analyze different features of alliances. Results suggest no stock market reaction on the day of the announcement, and a negative reaction on the days that follow. Our results also show that the stock market exacts no penalty on joint venture alliances, alliances involving public entities, alliances between Spanish firms, or alliances between competitors. The common feature revealed in these subgroups is the pursuit of security, a phenomenon that is consistent with the study environment.