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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.

This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.

The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers.

This review allows us to highlight a relationship between firms’ international strategies and the knowledge processes enabled by applying digital technologies. Specifically, the authors discuss the characteristics of patterns of knowledge flows and knowledge processes (their origin, the type of knowledge they carry on and their directionality) as determinants for the emergence of diverse international strategies embraced by single firms or by populations of firms within ecosystems, networks, global value chains or alliances.

Despite digital technologies constituting important antecedents and critical factors for the internationalization process, and international businesses in general, and operating cross borders implies the enactment of highly knowledge-intensive processes, current literature still fails to provide a holistic picture of how firms strategically use what they know and seek out what they do not know in the international environment, using the affordances of digital technologies.

This study aims to examine direct effects of qualified team gatekeepers on absorptive capacity (AC), and the mediating roles of combinative capabilities – knowledge integration capability (KIC) and interteam coordination.

A social networking analysis was used to analyze a unique data set collected from all members of 32 Japanese research and development (R&D) teams to identify key individuals who perform daily gatekeeping functions. This study analyzed the data through partial least squares structural equation modeling with higher-order latent variables. Finally, cross-validation tests were used with holdout samples to test the model’s predictive validity.

Qualified gatekeepers directly contribute to teams’ realized AC but not to their potential AC. Furthermore, qualified gatekeepers can improve their teams’ capability to absorb and exploit external knowledge by facilitating their capability to consolidate knowledge, that is, its KIC and interteam coordination.

Unlike prior research that asks top managers to identify team gatekeepers, this study used social network analysis to identify these vital individuals. This study provides a new framework indicating how qualified gatekeepers impact the AC of R&D teams through the examination of both the direct and indirect paths of gatekeeping abilities, two combinative capabilities as mediators and team AC.

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.

Professional service firm (PSF) performance depends on the accumulation and application of specialist knowledge to find customised solutions to customer problems. However, available research has not examined whether knowledge acquired from external sources affects PSF outcomes by strengthening professionals’ beliefs rather than only by increasing technical competency. Drawing on self-efficacy theory, this study tests a model that links the quality of content acquired from external sources and the credibility of those sources to professionals’ self-efficacy and, in turn, to PSF outcomes (solution quality and firm performance). In particular, this paper aims to consider the case of professional content exchanged through professional social media.

A cross-sectional research design was applied. Data were collected from a sample of 208 accountants, auditors and lawyers who used professional social media and were analysed using covariance-based structural equation modelling.

When accessing professional content from external sources, source credibility and content quality are significant antecedents of professionals’ self-efficacy, which, in turn, has positive effects on PSF outcomes (solution quality and PSF performance).

Self-efficacy plays a key role in the link between knowledge acquired from external sources (professional content) and PSF outcomes.

This study provides recommendations and actionable insights for PSFs, professionals and other actors who create and exchange professional content. Professional associations may also take an active role by contributing and sharing credible and high-quality content, using, for example, professional social media.

This paper advances the current understanding of the effects of professionals’ access to content from external sources on PSF outcomes. It provides an explanation of these effects based on the enhancement of professionals’ beliefs instead of their technical competencies, as indicated in previous research. In addition, it is the first research effort to consider professional social media as a communication channel to exchange content that affects the self-efficacy of PSF professionals.

This study aims to investigate the effects of open innovation (OI) and big data analytics (BDA) on reflective knowledge exchange (RKE) within the context of complex collaborative networks. Specifically, it considers the relationships between sourcing knowledge from an external environment, transferring knowledge to an external environment and adopting solutions that are useful to appropriate returns from innovation.

This study analyzes the connection between the number of patent applications and the amount of OI, as well as the association between the number of patent applications and the use of BDA. Data from firms in the 27 European Union countries were retrieved from the Eurostat database for the period 2014–2019 and were investigated using an ordinary least squares regression analysis.

Because of its twofold lens based on both knowledge management and OI, this study sheds light on OI collaboration modes and highlights the crucial role they could play in innovation. In particular, the results suggest that OI collaboration modes have a strong effect on innovation performance, stimulating the search for RKE.

This study furthers a deeper understanding of RKE, which is shown to be an important mechanism that incentivizes firms to increase their efforts in the innovation process. Further, RKE supports firms in taking full advantage of the innovative knowledge they generate within their inter-organizational network.

This paper aims to examine the influence that family firms’ top management team (TMT) behavior and characteristics exert on their innovation opportunity realization.

Data were collected through a survey addressed to a representative sample of Italian firms. The analyzed sample consists of 237 firms, 120 of which are family firms. A series of ordinary least squares models were used to test the four hypotheses.

Family firms realize fewer innovation opportunities than non-family firms. This result is fully mediated by the knowledge exchange in the TMT as follows: in family firms, the TMT exchanges less knowledge than in non-family firms, which drives their lower realization of innovation opportunities. In family firms TMT, the increase in the non-family members positively influences the TMT knowledge exchange, but only when the time the Chief Executive Officer (CEO) spends in searching for innovation opportunities outside the firm is low. The more the CEO search increases, the more this positive influence decreases, up to the point it becomes negative.

The study contributes to the literature on innovation, knowledge management and organizational design in family firms. Nevertheless, data were collected at a single point in time and in a single country.

The study suggests family firms on how to foster the realization of innovation opportunities. A greater TMT knowledge exchange allows to realize more innovation opportunities and the TMT characteristics emerged as the drivers of this TMT knowledge exchange. As such, family firms should examine the interaction of their TMT composition in terms of non-family and family members with the effort that the CEO deploys to search for innovation opportunities outside the firm.

Empirical investigation of the link between family ownership, absorptive capacity and innovation performance by considering TMT behavior and characteristics.

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 research aims to theorize how a critical factor, resource access, can paradoxically impact the comprehensiveness of venture location decision processes and the relationship between decision comprehensiveness and new venture performance. To do so, the authors focus on nascent entrepreneurs’ venture location decision processes and introduce resource access as a double-edged sword.

In this conceptual article, the authors draw from the strategic decision-making and resource mobilization literature to theorize about the new venture location decision-making process and its performance implications.

By uncovering the paradox of resource access, the authors propose that high levels of resource access create a paradoxical situation in which nascent entrepreneurs are less likely to use comprehensive decision processes when their benefits are at their greatest.

This work contributes to entrepreneurship research on new venture location and resource mobilization in three important ways. First, the authors advance the literature on nascent entrepreneurs’ location decision-making processes by introducing “location decision comprehensiveness” as a decision process construct and juxtaposing it with resource access to uncover the entrepreneurial decision-making process. Second, the authors develop a more nuanced theorization of the location choices made by nascent entrepreneurs instead of relying on generalized conclusions drawn from well-established corporations’ location decisions. Last, the authors extend the literature on resource mobilization in entrepreneurship by shedding light on the paradoxical aspect of resource access. While previous research has emphasized the favorable effects of resource access on new venture processes and outcomes, the authors contend that it can also negatively impact entrepreneurs’ ability to make effective decisions.

Focusing on the specific context of two European old industrial regions – South Yorkshire (UK) and North Region of Portugal – this paper aims to identify and conceptualise a set of relational capabilities that business leaders perceive to play a key role in industrial rejuvenation.

A qualitative research design operationalised via case studies was followed for the empirical analysis. Data collection was developed through in-depth interviews with managing directors in small and medium-sized enterprises (SMEs) belonging to the metal and engineering industry and the textile and footwear sectors in the two old industrial regions. Data analysis followed the techniques of data categorisation, within case-analysis and cross-case analysis.

The study identifies relational capabilities that firms use to identify, access and leverage new knowledge: frequent meetings with customers; frequent meetings with suppliers; dialogue with government to influence policy that encourages research and technology transfer; partnership actions for the commercialisation of products and services; active membership with sector associations; immersion in science and technological parks; intentionally establishing links with entrepreneurship-supporting entities; human resources development by technical training institutions; and systematic links with the University. The relational capabilities identified require structured communication processes and alliance management practices to enable and support absorptive capacity and learning in inter-organisational networks.

The relational capabilities identified can help position regions in specific markets and value chains, contribute to improving regions’ internal and external connections and assist in combining regions’ strengths to create industrial capability in high-growth-potential areas.

This paper highlights the role of relational capabilities as a way to secure access to knowledge and competencies needed for firms’ innovation and avoidance of competency traps. This is particularly relevant in the context of European smart specialisation policy, where key regional stakeholders collectively engage in the identification of areas of competitive strength, enhanced coordination and strategic alignment of resources. The study is not without limitations, as findings are based on case studies of SMEs operating in the manufacturing industry and the analysis of relational capabilities is focused on knowledge novelty.