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The link between openness and innovative performance has been established as an inverted U-shape relationship, namely, the openness-performance connection is not always positive. The purpose of this paper is to introduce the concept of partner heterogeneity to characterize the influence of “quality” changes in partners on innovative performance, that is, the focus of this paper. Given that partner heterogeneity is crucial in explaining open innovative performance, it is also worth placing the examination of this key construct in emerging regions such as China.

The sample selection of this study covers a wide range of industries, but requires that the sample firms be manufacturing enterprises with an open innovation strategy. With opportunities and challenges associated with partner collaboration toward open innovation, the Chinese province of Zhejiang has established its reputation. Thus, empirical data were collected randomly from data pool of Zhejiang Province Economic and Information Commission, as well as a survey questionnaire. Data were using a cross-sectional survey methodology encompassing diverse organizations, industries, and nations.

Empirical testing of this assumption in a sample of 217 manufacturing firms indicates that partner heterogeneities, which are classified as organizational heterogeneity, industry heterogeneity, and national heterogeneity are all positively associated with innovative performance, but the strength of this association is influenced by environmental turbulence. Technological turbulence significantly and positively modulates the relationships of organizational and national heterogeneities with innovative performance. Market turbulence also plays a significant positive role on the relationship between national heterogeneity and innovative performance, while technological and market turbulence roles on the relationship between industry heterogeneity and innovative performance are not confirmed.

This paper refines the connotative dimensions of partner heterogeneity around the core concept of partner heterogeneity in open innovation in the context of emerging region, China. The study presents a systematic, in-depth analysis, and verifies the impact mechanisms of partner heterogeneity in open innovation on innovative performance by integrating the resource-based view, organizational learning theory, and transaction cost theory.

The purpose of this paper is to untangle the impacts of a firm’s corporate reputation and its alliance partners’ social capital on its financial performance, drawing on the relational and the network points of view.

This paper explored the moderating effect of corporate reputation on the relationship between partners’ social capital (e.g. resource heterogeneity, structural relations and partners’ social ties) and a focal firm’s performance. An OLS three-step regression model (controls, main effects and interaction effects) was used to test the proposed hypotheses based on 265 US joint ventures.

The influence of partners’ social capital on a focal firm’s performance is negatively moderated by the focal firm’s reputation at the firm and network levels; larger and more prestigious firms listed in Fortune database tend to choose partners with a higher level of resource heterogeneity, whereas smaller firms tend to choose partners in similar industries to increase economies of scale. The social capital factors of the partners will have different effects on the focal firm performance.

The value of this paper is in providing insight into the importance and nuances of corporate reputation in offsetting the advantages of inter-firm alliances and their impact on firm performance. In particular, the performance benefits of inter-firm alliance partners’ social ties and heterogeneous resources are negatively affected by the corporate reputation of a firm.

Smart industry initiatives focus on intelligent and interconnected cyber-physical systems. These initiatives develop complex technical architectures that integrate heterogenous technologies, causing significant organizational complexity. Tapping into the digital capabilities of distant partners while capturing profit from such innovation is demanding. Furthermore, firms often need to establish and orchestrate inter-organizational collaborations without prior relations or established trust. As a result, smart industry initiatives bring together disparate organizational forms and institutional environments, distinctive knowledge bases, and geographically dispersed organizations. We conceptualize this organizational capability as ‘distant capabilities integration’. This research explores the governance mechanisms that support such integration and their relation to value capture. We analyse 11 IoT case studies organized in three categories (process, product and technologies) of smart industry initiatives. Building on existing literature, we consider different ways to describe distance, including knowledge heterogeneity and organizational, geographical, institutional, cultural and cognitive distance. Finally, we describe the governance mode appropriate for upstream (developing foundational technologies) and downstream (leveraging existing distant technologies) smart industry initiatives.

Co-branding is popular with partnerships between well-known and new brands. In a laboratory study, this paper aims to examine the effects of a single ally and multiple allies on quality perception of a brand. The results suggest that the quality perception of the new brand depends on the co-branding strategy.

For dual-brand alliances, a single-factor design was used, with secondary brand quality level (high, medium and low) as the independent variable. Three advertisements were created by manipulating quality levels of the single partner. For multiple-brand alliances, a 2 × 3 between-subjects factorial design was used in the experiment. The two factors were diversification (homogeneous vs heterogeneous) and quality levels of the alliance (high-end, mixed and low-end).

The results suggest that the number of brand partners significantly affected the perceived quality of the primary brand. For both dual- and multi-brand alliances, the quality level of the secondary brand positively influenced the perceived quality of the primary brand. For multiple-brand alliances, even though the highest quality perceptions of the primary brand are in the heterogeneous conditions, the heterogeneity of partners (partners across different product categories) did not affect the quality perception of the primary brand.

One limitation of the current study is that it only addresses one type of brand alliance: co-promotion. The generalization of these findings to other forms of brand alliances (e.g. ingredient branding: Intel with IBM, Dell and HP) merits further investigation. Also, in this study, respondents processed the information in a relatively low-involvement condition (note that the target ad was presented along with filler ads). They were more likely to use brand names as heuristic cues to form their judgments. Because an alliance partner also assumes risks, future research should consider the effect of the alliances on the secondary brand.

Understanding brand alliances (especially multiple-brand alliances) is critical for new product managers and marketers. Introducing a new brand has higher risk and failure rates. Companies may lower these risks by co-branding with established brands. However, they should carefully consider the diversification and quality level of the partners. If brand managers position their product as “high quality (luxury)” or “low quality (budget)”, they should choose high- (or low-) quality partners from different product categories (heterogeneous high-end or low-end alliances) because diversification strengthens the primary brand. For a single-partner alliance, the secondary brand should be of high quality.

This paper extends the brand alliance literature beyond single-partner to multiple-partner alliances. With multiple partners, one can explore several critical aspects of an alliance, e.g. quality variance and product class diversity across the partners.

While prior alliance literature has focused on how firms exploit alliance strategies to enhance performance and innovation, little is known about whether market uncertainty increases, decreases or has no effect on innovation outcomes of firms involved in alliances, and under what conditions these firms promote innovation in an uncertain market through alliances. Relatedly, innovation research has examined the impact of environmental uncertainty on innovation; however, this line of research does not answer the question in the alliance context.

Using data of firms engaged in alliances in the US pharmaceutical and biotechnical industries between 1990 and 2015, the authors examine firms' alliance partner characteristics and innovation outputs in terms of innovation quantity and exploratory innovation.

We find that market uncertainty hampers innovation quantity and exploratory innovation of firms involved in alliances, because in this environment, relational risks and coordination challenges outweigh the benefits of knowledge sharing from partners. However, the authors find that alliance partners' characteristics such as a different industry and different country origins mitigate the negative effect of market uncertainty on these firms' innovation by offering new business opportunities and enhancing their learning capability.

This study contributes to the alliance literature by addressing a significant question of whether and how market uncertainty matters in the innovation output of firms involved in alliances and how these firms address the environmental challenges and promote innovation. The study also contributes to innovation research by delineating the nature of market uncertainty and its impact on innovation in an alliance context.

In today’s turbulent environment, it is important that companies effectively leverage resources available both in-house and in their interorganizational ties. The purpose of this study is to focus on technology as a key resource and aims to analyse contextual factors of the relationship between the technological heterogeneity of suppliers and the buyer firm’s short- and long-term performance in a dynamic approach.

This paper applies a mixed-method approach. The theoretical model has been developed based on extant literature, validated by a workshop with practitioners, and tested using structural equation modelling on a sample of 157 companies.

Suppliers’ technological heterogeneity has a significant positive effect on both the buyer’s actual business performance and its research and development capability. Business performance captures the short term, while the long-term performance implications of heterogeneity are understood as a precondition for future, technology-based competitiveness. The results show that both short- and long-term consequences are mediated by the buyer’s supply chain management efforts (SCMEs), while the relationship between technological heterogeneity and these efforts is moderated by the buyer’s networking capability (NC).

This study provides the first evidence of potential long-term positive performance consequences of technologically heterogeneous suppliers. Additionally, it develops new insights into how the internal abilities of the focal firm might facilitate or hinder the positive implications of such heterogeneity. Specifically, the role of the buyer’s SCMEs and its NC is analysed. Industry-specific analyses offer new opportunities for future scholarship and future studies could extend research with other contextual factors.

Managers at different levels of the buyer firm should be aware of the organizational capabilities through which they can leverage the potential embedded in technologically heterogeneous suppliers. The results contribute to this understanding, which is especially important when a change in the environment (and the consequent changes in the level of technological heterogeneity) is constant.

This paper reflects on an important critique of the extant literature by applying a dynamic approach. Dynamization is twofold. Firstly, this study does not limit empirical analysis to short-term performance consequences. Secondly, this study discusses contextual factors that capture some aspects of the buyer’s ability to dynamically adapt to the changing environment. SCMEs align the supply chain of the buyer along customer requirements that change over time, while the NC is responsible for the ongoing reconfiguration of the supplier’s base.

The purpose of this paper is to investigate the role played by turbulent environments in the evolution of hybrid (i.e. multi-party, cross-sector) partnerships for regional innovation. Although extant research suggests that organizations decide to participate in such partnerships to cope with their turbulent environments, little is known about how actual perceptions of turbulent environments influence the setup and evolution of a partnership.

The qualitative study adopts a longitudinal design to investigate the evolution of a cross-sector regional innovation partnership between ten very different organizations. With the help of the VUCA (volatility, uncertainty, complexity and ambiguity) model proposed by Bennett and Lemoine (2014a), the authors study the relation between partners’ initial perceptions of environmental turbulence and the models adopted for the partnership throughout its lifecycle (emergent, brokering and platform).

The authors show that partners’ intentions to solve perceived environmental turbulence through collaboration can have the unexpected consequence of triggering perceived turbulence inside the collaboration itself. Specifically, the authors show that perceived partnership VUCA at each stage is a result of partners’ attempts to cope with the perceived VUCA in the previous stage.

The study highlights a set of common traps that both public and private organizations engaged in hybrid partnerships might fall into precisely as they try to lower VUCA threats in their environments.

The work accounts for the relationship between external and internal perceptions of VUCA in hybrid partnerships for regional innovation, and, in particular, provides a better understanding of what happens when organizations choose to enter hybrid partnerships in order to deal with perceived threats in their environments.

External knowledge is a key resource for the success and the survival of born global firms; however, existing models provide minimal evidence on how these firms should source this knowledge resource. Thus, the purpose of this research is to increase understanding on the impact of diverse knowledge search and knowledge formal protection in international new ventures (INVs).

The study uses a quantitative methodology based on a sample of start-ups from the Spanish Community Innovation Survey data. Using ordinary least squares regressions on a 10-year period panel data, this research tests the moderator role of a heterogeneous base of international partners and formal knowledge appropriation strategy on the relationship between start-ups and their export performance.

The results show that compared to non-born global start-ups, born global firms benefit more from establishing relationships with a set of heterogeneous international partners. By contrast, all start-ups benefit from an extensive appropriation strategy if they establish such alliances with diverse international partners.

The study extends current theory on international entrepreneurship by providing a new theoretical framework for INVs of both the extensive use of formal mechanisms of knowledge protection and the access to heterogeneous and distant knowledge. This study has also several implications for knowledge management domain.

The purpose of this paper is to study the impact of networks diversity on innovation activity of firms. It aims to review the structural issue in innovation networks and to distinguish different structures of networks for product and process innovation through an empirical research.

Using a data set of 348 European agri-food firms, the authors study the impact of bridge and redundant ties on product and process innovation of firms. This is an empirical research based on an online survey in five European countries.

The finding shows that bridge ties (measured by the number of heterogeneous networks in which firm participate) always facilitate product innovation in firms. The authors found also that a high number of heterogeneous ties in term of partners (simultaneous presence of redundant and non-redundant ties) motivate both product and process innovation in firms. Furthermore, the authors found a positive impact of network competence on process innovation.

The measures of bridge ties and redundant ties are indirect measures. This choice is a willing choice. Direct measurement of bridge and redundant ties always requires in-depth interviews with firms managers and thereby are limited by the number of observations.

Research on innovations networks are dominated by case studies and researches with limited number of observations. Studying the networking behaviour, particularly the tie selection, of a wide range of firms brings additional knowledge in this field of research.

The management of major inter-firm projects requires a coherent, holistic governance framework to be effective. However, most existing models of project governance are limited to a narrow selection of contractual, structural or procedural aspects, and further neglect contextual factors, such as key characteristics of a project and its partners. The paper aims to discuss these issues.

This conceptual paper proposes an integrative analytical model of inter-firm project governance, building upon contingency theory and drawing from established constructs rooted in organization theory.

The paper aims to integrate two largely distinct streams of research and synthesize the respective constitutive dimensions of project governance into a coherent conceptual model. Further, interrelationships with contextual factors, such as project-related and partner-related characteristics, and project performance are discussed.

The proposed model purposefully merges two complementary streams of project governance research. As the model further provides clear contextual factors, it strengthens an emerging stream of project research by systematically examining external influences of project organizing. Future research may utilize this model and the suggested operationalization for each of the constructs as a basis to empirically investigate the design and effectiveness of governance regimes of major projects.