Casting a Wide Net for Innovation: Mediating Effect of R&D Human and Social Capital to Unlock the Value from Alliance Portfolio Diversity

This paper examines the performance effects associated with different alliance portfolio configurations in terms of geographical location and partner type. Based on these distinctions, the authors hypothesize that more diverse alliance portfolios enable firms to gain and exploit innovation opportunities. Additionally, the mediating effects of R&D human and social capital on the R&D alliance portfolio diversity–innovation performance relationship are explored. The authors reason that the absorptive capacity of R&D intellectual capital determines a firm's potential gains from highly diverse alliance portfolios. From panel data of manufacturing firms in Spain for the period 2008–2013, the results confirm the inverted U‐shaped relationship between alliance portfolio diversity and firm innovation performance, implying that both insufficient and excessive alliance portfolio diversity may be detrimental to firm innovativeness. Additionally, R&D human and social capital partially mediates the R&D alliance diversity–innovation performance relationship, emphasizing the importance of internal capabilities to leverage the benefits of highly diverse alliance portfolios. These findings add a dynamic dimension to the conceptualization of alliance portfolios and how firms create value by balancing explorative and exploitative alliances.     

The Impact of Alliance Management Capabilities on Alliance Attributes and Performance: A Literature Review

The literature on alliances has identified a variety of inter‐firm antecedents of performance, including information and knowledge sharing between partners, shared partner understanding, and a focus on collective objectives. Recent studies have focused on alliance management capabilities (AMC) – firms' abilities to capture, share, store and apply alliance management knowledge – as an important antecedent of performance. This paper reviews 90 studies on AMC and makes two important contributions to the literature. First, the review provides an overview of and classification scheme for the different types of AMC to better organise the diverse empirical findings that have been presented in the literature. The novel classification distinguishes between general and partner‐specific AMC and between AMC stored within the firm and within the alliance. Second, consistent with the dynamic capabilities perspective, this paper offers a more detailed understanding of why AMC improve performance, by highlighting the intermediate impact of AMC on alliance attributes. In particular, the review demonstrates how the different categories of AMC influence alliances in terms of information and knowledge‐sharing between partners, shared partner understanding and the pursuit of collective goals. The review also demonstrates that these attributes improve performance. The authors note promising avenues for future empirical research that involve combining the classification scheme with research on the impact of AMC on alliance attributes and performance.     

The Dynamics of Research Alliances: Examining the Effect of Alliance Experience and Partner Characteristics on the Speed of Alliance Entry in the Biotech Industry

Few studies have moved beyond the dyadic level of an ongoing alliance and examined factors contributing to the success of entering a series of alliances. In this paper we expect biotechnology firms over time to learn from their alliance experience and to develop general alliance capabilities. Specifically, we expect the speed with which they enter into new research alliances, e.g. their alliance formation rate, to be affected by capabilities built up in prior alliances as well as by characteristics of their partners. We use longitudinal event history data for the complete population of US biotechnology firms for 1973–1999 to test four hypotheses about factors affecting the rate of new alliance formation. Our analysis suggests that the speed of entering research alliances is affected by prior experience of the focal firm, but not by partner characteristics. Our findings provide evidence that biotech firms learn how to learn more effectively from multiple research alliances; however, this effect is generalized and not tied to specific characteristics of the alliance partner.     

Heterogeneity,diversity and complementarity in alliance portfolios

The divergence that a firm manages to achieve because of its partners is a fundamental question in an alliance portfolio configuration. Diversity can refer not only to the differences between the focal firm and its partners or between the partners themselves but also to the differences arising from various resource endowments in the alliance portfolio. Understanding the significance of these different sources, how they interrelate, and how they affect the firm performance is an unresolved question as unclear definitions and opposing arguments are proposed. This paper expounds the concepts of partner heterogeneity, alliance portfolio diversity, and network resource complementarity to gain a deeper comprehension of the alliance portfolio configuration and how it affects performance. Our analysis of airline alliances at a global level reveals the central role of resource complementarity in the focal firm performance.     

Embedded Networks and Suboptimal Resource Matching in Alliance Formations

Interest has been growing in alliance networks, and research has demonstrated several advantages of embedded networks, including joint problem solving. How embedded networks function as social capital and promote alliance formation has also been explored. However, less is known about constraints that they impose on firms’ extensive search for partners. In this study, we advance our understanding of the downsides of embedded networks by proposing that embedded networks facilitate alliance formations, but they may also cause suboptimal resource matching in alliance formations. Specifically, we predict that, in alliances where initial resource matching is more important than ex post collaborative activities, suboptimal resource matching is more likely when firms ally with partners with which they have pre‐existing direct or indirect ties and that such alliances decrease firm‐level resource utilization performance in operations. Using codeshare alliance data from the global airline industry, we find support for our predictions.     

Leveraging tacit knowledge in alliances: The importance of using relational capabilities to build and leverage relational capital

Effectively managing existing tacit knowledge stocks and transferring knowledge between partners contributes to firm capabilities that allow them to differentiate their goods and services from those of their competitors. Because it also helps them to provide greater value to customers, it contributes to the development of a competitive advantage. In highly competitive industries, firms need to focus on proactively managing their knowledge resources to ensure survival. However, the knowledge management process is at times complex especially because of the difficulty involved in conveying tacit knowledge. Due to its latent potential for enabling firms to achieve potential competitive advantage, how firms utilize and transfer stocks of tacit knowledge requires enhanced understanding. In specific, we explain how firms use relational capabilities to build relational capital with partners. In turn, relational capital facilitates the transfer of tacit knowledge between collaborating partners. We develop several propositions regarding the factors likely to influence the transfer of a firm's tacit knowledge resources in strategic alliances. The importance of social capital's relational dimension, relational capital, in this process is highlighted.     

Entrepreneurial orientation in vertical alliances: joint product innovation and learning from allies

This paper clarifies how a firm’s entrepreneurial orientation (EO) affects joint product innovation within a vertical alliance and how this is influenced by increasing technological uncertainty and the absorption of knowledge from the alliance partners. The results of a structural equation model with latent interactions on 171 firms in the manufacturing industry indicate that the focal firm’s EO increases joint innovation, although this positive effect declines when a high level of uncertainty increases. On the other hand, the ability to absorb partners’ knowledge increases joint product innovation. As such, this study’s results contribute to research in the field of vertical alliances, EO, and the theoretical foundation of a dynamic capability perspective.     

Knowledge Management in Strategic Alliances: A Review of Empirical Evidence

Knowledge‐related and organizational learning processes in alliances have received much attention throughout the last 25 years. The field has generated a rapidly growing body of empirical evidence on how knowledge is managed in alliances. However, the sphere is highly complex, fragmented, incoherent, and heterogeneous in terms of the theoretical approaches applied. This paper presents an integrative and organizing framework for the empirical literature on knowledge management in strategic alliances. It illustrates how the knowledge management outcomes of knowledge creation, transfer and application are determined by four distinct sets of factors: knowledge characteristics, partner characteristics, partner interaction, and active knowledge management. Based on this framework, this review analyses and integrates empirical evidence in order to identify where findings converge and where results conflict. So far, research has focused strongly on singular interrelations between these four sets of factors and the transfer of knowledge. Conversely, the questions of how knowledge is created, retained, retrieved and applied and how the interplay of the different factors affects knowledge management in strategic alliances remain widely unexplored. The review concludes with a summary of the current state of the art in empirical research and discusses some promising avenues for future investigation.     

我国高技术企业联盟治理结构选择的实证研究

本文以交易成本理论和关系契约理论为基础,研究高技术企业战略联盟治理结构.作者运用108个高技术企业战略联盟的样本数据,对本文提出的基本研究假设进行了实证检验.实证结果揭示了交易成本理论和关系契约理论在联盟治理当中的互补作用,也证明了不确定性和伙伴关系是决定联盟治理结构选择的关键因素.最后,作者对实证结果进行了讨论,并指出了进一步的研究方向.     

动态环境下联盟竞合、治理机制与创新绩效的关系研究

本文从竞合视角审视联盟组合,结合动态关系观探讨有效的联盟治理机制,揭示了联盟组合中竞合关系(横向竞合、纵向竞合)、治理机制(契约治理、关系治理)和创新绩效之间的关系,并考察了动态环境特征(技术波动、竞争强度)的二次调节作用。在不同的竞合关系中,由于合作和竞争的强度不同,契约治理与关系治理机制的作用也存在差异,同时,治理机制与创新绩效之间的关系也受到两种不同环境动态性特征的影响。研究结果显示,在纵向竞合中,运用关系治理比运用契约治理能更好地提升创新绩效,技术波动正向调节契约治理、关系治理与创新绩效间的关系。在横向竞合中,运用契约治理比运用关系治理有效,竞争强度加强了契约治理对创新绩效的影响,即关系治理在波动的环境中更有效,契约治理在竞争的环境中更有效。本文为企业开展研发联盟组合管理提供了新的视角和管理对策。     

Survival during a Crisis: Alliances by Singapore Firms

In this study, we focus on the under‐researched issue of how environmental shocks impact alliance survival. We draw from several different theoretical perspectives such as industrial organization economics, managerial theories of the firm (such as agency theory) and institutional theories. We argue that the relationship between the occurrence of environmental shock and alliance survival is a contingent one. Specifically, we hypothesize that the following types of alliances will exhibit better likelihood of survival: alliances that yield a balance of short‐term and long‐term benefits (scale alliances) rather than purely long‐term benefits (link alliances); alliances that lead to either cost reduction or near‐term improvement in revenue realization (marketing alliances); and alliances that bring together partners from different economic regions (those involving Western and Asian partners). Based on an analysis of 348 alliances formed by Singapore firms, we find that marketing alliances and those involving at least one Western partner indeed exhibit a better likelihood of survival during the Asian economic crisis. We conclude that alliances that can enhance revenue potential in the short‐term are more robust to environmental shocks and that alliances can benefit from an effect similar to risk reduction through international diversification.     

A risk perception model of alliance structuring

The literature on the strategic alliance structuring process does not provide an adequate view of the role of decision-makers in that process, especially about how alliance partners form their structural preferences. Given the critical role of structure in alliance management, the decision-making process regarding the choice of an appropriate alliance structure deserves particular research attention. We propose a model of strategic alliance structuring that has managerial risk perception as its core. Our model consists of the following parts: the antecedents of risk perception, relational risk and performance risk, risk perception and structural preference, and the resolution of preferences. We suggest that the structural preferences of partners are based on their perceptions of relational risk and performance risk, and the overall objective is to minimize the total risk. We also develop a number of propositions as elaboration of the model to facilitate empirical research and the effective management of the structuring process.     

Strategic Alliance Temporalities and Partner Opportunism*

The troubling potential for opportunistic behaviour in strategic alliances is acknowledged in both research and practice, and yet the antecedents of such opportunism remain largely unexplored in the literature. In this article we suggest that the inherent temporalities of alliances play significant roles in partner opportunism. We propose a model of potential partner opportunism that assigns antecedent and contingent roles to the temporal horizons of alliances and the temporal orientations of the member firms. We introduce the notion of alliance horizons and suggest that they are constituted by the temporal orientations of the member firms and a number of common alliance formation factors. We also discuss how these alliance horizons in conjunction with the temporal orientations of member firms result in different levels of potential opportunism. Lastly, we develop a number of propositions to facilitate empirical research on the temporal contingencies of partner opportunism and indicate directions for further studies.     

Alliance formation issues for knowledge-based enterprises

Inter-firm collaboration among knowledge-intensive firms is increasing as a result of accelerating competition, falling regulatory barriers and rising customer expectations. Resource dependency theory is used to position knowledge as the key resource for the knowledge-based enterprise and to examine the suitability of alliances as a mode of knowledge acquisition and exchange, contrasted particularly with merger and acquisition. The alliance and knowledge literatures are reviewed, and particular attention is paid to the critical alliance formation stage. This stage is reviewed against a research model that posits firm performance in knowledge creation arises from a number of factors, including the motivation for an alliance, partner firm characteristics (the ability to develop and sustain valuable resources; absorptive capacity; combinative capability; experience with alliances; and appropriate design for knowledge exchange), the development of operating structures and norms, and the choice of alliance structure. The paper concludes with suggestions for future research..     

Improving the Progress of Research & Development (R&D) Projects by Selecting an Optimal Alliance Structure and Partner Type

This paper extends the study of alliance governance structure by examining what alliance structure, coordination mechanisms and partner type best enhance the likelihood of Research and Development (R&D) progress or performance. We specially focus on the coordination and interaction mechanism of alliances, through which we classify the alliance governance structures in order to reflect the more complex alliance types and contracts used in today's R&D. Using data from 255 biopharmaceuticals between the years 2000 and 2004, we found that, ceteris paribus, a moderate degree of inter‐partner interaction and a moderately complex (non‐equity‐based) alliance contract contributes more to a better R&D alliance performance than those structures that are too simple or too organizationally embedded (e.g. equity joint ventures), which possibly increase the risk of misalignment and miscommunication between allies. In addition, due to the reduced opportunism and the diverse resource (e.g. technology) pooled in the alliance, allying with diverse organizational partners such as non‐profit research institutes and universities is more likely to enhance the R&D performance. Our findings provide insightful strategic implications to practitioners in designing an appropriate alliance governance structure and choosing the right partner type for a successful R&D collaboration.     

Complementarity and Leverage as Drivers of the Stock Market Reaction to Global Alliance Formation

Companies are increasingly using global alliances to accelerate their international expansion. This paper identifies the critical factors that influence how the stock market will react to news of this type of alliance. We argue that abnormal returns on such news depend on the degree to which partners fill gaps in their international networks. We also argue that these alliances should be designed to take advantage of these complementarities in a well-defined geographical area. An empirical analysis of the stock market reaction to 72 global alliances by listed Spanish companies confirmed the importance of complementarity and leverage in explaining abnormal returns, and the irrelevance of the region of origin of the partner.     

The Impacts of Alliance Purpose and Partner Similarity on Alliance Governance

It is generally recognized that the governance structure of an alliance has an impact on its probability of success. In this study, we examine the choice between two alternative alliance governance structures: equity and non-equity. Drawing from transaction cost economics, two sets of factors, namely alliance purpose (R&D or marketing) and cultural distance between partners, are hypothesized to influence the above choice. We further hypothesize that collaborative R&D alliances, where both parties contribute technical knowledge, are more likely to lead to the formation of equity alliances than non-collaborative research agreements, where only one partner may be doing the research work. Based on a sample of 2407 alliances formed in the global biotechnology industry, we find partial support for the hypothesized relationships. Specifically, we find that collaborative R&D alliances are more likely to be equity alliances, whereas non-collaborative R&D alliances do not have any impact on the choice of the governance form. We also find that alliances formed with a marketing purpose are less likely to be equity alliances. We did not find any relationship between cultural distance and the choice of equity alliances.     

International alliance formation and stock market responses:: Industry globalization as an environmental contingency

This study examines the effects of the degree of industry globalization on international alliance formation in terms of the type of alliance chosen by partner firms and stock market responses to the chosen type of alliance. Using a sample of 244 international alliances formed between U.S. and non-U.S. firms for the 1992–97 period, we find that nonjoint venture (joint venture) alliances take place relatively more frequently in global (multidomestic) industries than in multidomestic (global) industries. We also find that in global industries, abnormal returns to nonjoint venture partners are relatively greater than those to joint venture partners, whereas in multidomestic industries, abnormal returns to nonjoint venture partners are relatively smaller, though insignificant, than those to joint venture partners. Our findings suggest that the degree of industry globalization plays an important role in explaining which type of international alliance is likely to be chosen by partner firms when entering an alliance and how stock markets tend to respond to the chosen type of alliance.     

Managing Multiple Facets of Risk in New Product Alliances*

The trend of forming alliances to develop new products continues; however, many of these new product alliances fail. As such we explore how key risk types intrinsic in new product alliances, performance, relational, and knowledge appropriation risks, influence alliance success. Further, we theorize that different alliance governance mechanisms can reduce the negative impact of risks on alliance success. To disentangle possible heterogeneous factors across firms that may affect the interplay of risk assessments and the use of governance mechanisms, we employ latent class regression analysis on survey data collected from 128 new product alliance firms and find support for a two‐regime solution. Longer alliance relationships and lower technological turbulence are factors for some firms (regime one), while the opposite are factors for other firms (regime two). These two regimes show different patterns in the interplay of risk assessments and governance for alliance success. Our theory and results support viewing risk as a multiple‐factor concept and by understanding the different impacts of the risk types in new product alliances and how governance mechanisms mitigate such effects, we aid managers' decision making regarding the balance of contractual versus normative governance in new product alliances. Understanding the heterogeneous factors inherent in these complex relationships enables managers to understand the conditions in which various governance mechanisms promote new product alliance success.