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Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network.

The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression.

Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships.

From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D network.

Focusing on some relevant constructs defined by the open innovation (OI) literature (i.e. determinants of openness; openness choices operationalized in terms of collaboration depth with scientific and business partners; organizational and social context; innovation performance in terms of novelty and efficiency), this paper investigates the relationships among such constructs. More specifically, the purpose of this paper is to empirically analyse two types of relationships: between some contextual factors and firms’ openness choices; and among openness choices, a set of organizational-managerial and social factors, and OI performance outcomes.

The authors carried out a theory testing survey, involving four European countries (Finland, Italy, Sweden and the UK). The authors applied descriptive statistics and a series of regressions.

The authors analysed the impact exerted by external and internal variables on the collaboration depth with scientific and business partners: technological trends are relevant to move firms towards external collaborations, with both types of partners; efficiency goals pursued in collaborations are related to the collaboration depth with both types of partners, while an aggressive innovation strategy is positively related only to scientific-partner depth. Besides, collaboration depths with both partners are positively related to the both sides of innovation performance (i.e. novelty and efficiency), but the organizational-managerial and social contexts emerge as relevant mediator variables. Organizational-managerial and external relational social capital exert a beneficial role on the both types of innovation performance, while internal relational social capital benefits only novelty.

The work shows important limitations such as the low level of the explanatory values in the regression models. Therefore, the results must be considered as preliminary explorative insights that may be useful to encourage further studies.

This work serves to raise managers’ awareness on the opportunity of developing organizational-managerial mechanisms, as well as on the importance of social capital to profit from collaborations.

Although during the last decade many researchers have claimed that we are in the era of OI, empirical works, which provide both a more comprehensive and detailed understanding of the phenomenon, are still few. Moreover, the specific action of the context (managerial, organizational and social) as possible mediator of the performance outcomes of openness is empirically under-studied. The authors’ work attempts to fulfil these gaps.

The purpose of this paper is to research the approach of memory institutions to collaboration by analysing collaboration patterns in the networks developed in digitisation initiatives.

Qualitative and quantitative content analysis of the comments about partners and contractors made by respondents of the NUMERIC survey on the progress of digitisation in European cultural institutions was performed. Several attributes of collaborative networks of memory institutions were analysed: their size, members by type of organisation, and visibility of collaborators of particular type. Additionally, comparative analysis of collaborative networks of archives, libraries and museums was carried out.

Memory institutions did not approach collaboration strategically. They exhibited a low engagement in collaboration and focused on establishing resource‐sharing networks. Many of them established networks with the institutions of the same type.

The number of archives which provided comments about their networks was much fewer than the number of libraries and museums. It suggests that additional research on archives and their networks is needed to obtain more reliable data.

The results of this research are useful for managers responsible for digitisation initiatives, evaluating and revising collaboration strategies; professional associations, governmental and advisory bodies working with memory institutions for planning, and providing support and advice in digitisation.

The results of this research would be relevant for professional associations, governmental and advisory bodies, working with memory institutions.

To provide decision makers in strategic alliances a risk‐time framework to: categorize types of potential deceitful behaviors by partners; and adopt appropriate deterrence mechanisms to curb and control such behavior.

The article identifies four types of deceitful behavior, based on: the degree of relational risk that characterizes interactions of a firm with its alliance partner; and the length of the deceit horizon.

Suggests a number of deterrence mechanisms for controlling the different types of deceitful behavior, with the aim of enhancing confidence in partner cooperation in alliances.

The article provides a practical template for alliance managers to decide what kinds of deterrence mechanisms to adopt on the basis of the type of perceived deceitful behavior of alliance partners.

The article responds to an unmet need of managers with alliance responsibilities for a framework to help select the most effective mechanisms to deter different kinds of potential deceitful behavior of alliance partners.

This paper aims to analyse the influence of cooperation on the degree of novelty of technological innovations introduced by industrial firms in Argentina. This influence is analysed from three perspectives: cooperation by partner type [business partners or scientific and technological centres (S&T) partners]; cooperation by number of partner types, from no cooperation to cooperation with two partner types; and cooperation by goals pursued by firms.

The data come from one of the last national innovation surveys conducted in Argentina. The study controls for endogeneity, using instrumental variable procedures within the conditional mixed-process (CMP) framework.

The main result is the influence of cooperation with universities and S&T centres on the introduction of more novel innovations, which was found both in estimations with and without endogeneity correction. This influence was verified for more complex goals (R&D, technology transfer and industrial design and engineering) as well as for less complex ones (tests and trials, human resources training, quality management and certification). Business cooperation seems to impact only on a lower degree of novelty for more complex goals. The increase in the number of partners that the firm cooperates with, from no cooperation to joint cooperation with two partner types, influences more novel innovations.

Limitations and proposals for future research are discussed at the end of the study.

The results of this study contrast with the high propensity to cooperate with business partners shown by firms in Argentina and other Latin American countries. Therefore, this paper may help formulate more effective policies to promote cooperation conducive to firm innovation performance. Limitations and proposals for future research are discussed at the end of the study.

Although there is empirical evidence on this topic for developed countries, firm-level studies on cooperation and degree of novelty are scarce for Latin America. In addition, this paper analyses cooperation not only by type of partner but also by type of goal. This study attempted to control for endogeneity by using instrumental variables within the CMP framework.

This chapter describes how micro-locational factors affect international alliance formation. The authors focus specifically on the role of global cities, which are studied from a distance perspective. The authors argue that distances must be apprehended not at the country level but at the city level. The chapter is an attempt to provide a better understanding of the complex, multilevel factors that interact when firms select an alliance partner in a particular location. The authors take an explorative methodological approach through a configurational analysis of international alliances made by American companies in 2015. The main contribution is the proposition of a typology of micro-locational characteristics to help understand international alliance formation at a city level.

The paper aims to define the most beneficial types of information within a supply chain and their level of value for different partners in the supply chain. A secondary objective of this study is to compare the literature focus with the practitioners' perception concerning the value adding information types and their value level in the supply chains.

In this study, by reviewing published papers and textbooks on functionality and the value of information in supply chains, the most important types of information beneficial for the different partners of the supply chain depending on their position are identified. The value levels are quantified for the different partners through the supply chain by interviews with practitioners in different segments of the chains. A comparison between values of significant information types in the supply chains, concluded from the literature and the practitioners' interviews, is presented in this paper.

The study indicates the warehouse operations information as the most valuable information type from the practitioner's perspective. Also the result of this paper indicates increasing value of information further down the supply chain.

The result of this study could be applied for prioritizing the need for different information types in designing a supply chain.

This paper adds to the literature on the value of information and supply chain information by identifying and categorizing different types of information which are made available to create value for different partners in the supply chain. Also, this study identifies the benefit share of different supply chain partners from information. A comparison of the ideas of the literature and practitioner's on value of information is shown in this study.

Small firms rely on a variety of network partners, and in various roles, to initiate and implement innovations. While past typologies of innovation networking were defined at the level of firms or industries, the purpose of this paper is to develop a typology at the level of innovation objects.

Drawing on survey data of 594 innovations in Dutch small firms, cluster analysis is applied to develop a typology of networking patterns for innovation in small firms.

In total, six patterns of innovation networking were identified: supplier‐based, customer‐based, informal‐based, bank/accountant‐based, science‐based and government‐based. The supplier‐based pattern is most dominant and characterized by modest and simple contributions from networking partners, while governments tend to be involved in innovations marked by voluminous and complex partner involvement. Validity of the typology is suggested by two findings: more voluminous and complex networking patterns are correlated with firms’ internal capabilities, and with the newness and competence requirements of innovations.

For practitioners the typology provides a more fine‐grained view on how innovations in small firms are developed. This includes the role of relatives and friends, bank and accountants, and remote partners such as governments – network partners which so far were not covered in typologies of innovation networking.

This paper presents the development of a conceptual model of construction partnering. This model aims at exploring the relationship between two types of partnering (project and strategic) by studying the key factors that affect the partnering process stages. It also helps to determine the critical success factors (CSFs) of the two types of partnering. The paper commences by reviewing the literature on project and strategic partnering to develop the conceptual model. A survey was conducted to test the model. Results indicate that there are some critical factors (i.e. top management support, mutual trust, open communication, and effective co‐ordination) affecting both types of partnering, while some are specific to project (i.e. facilitator) or strategic partnering (i.e. long‐term commitment, continuous improvement, learning climate, and partnering experience). Practical implications are given to advise how to facilitate the implementation of partnering. Future research directions are also given to suggest how to improve our understanding of the concept of partnering.

The purpose of this paper is twofold: to analyze to what extent innovation output of R & D collaborations, proxied by co-patenting activities in terms of quantity, characteristics and value, differs depending on whether the engaged R & D partners have a certain type of relationship (allies, suppliers and subsidiaries); to identify possible automakers co-patenting patterns taking into account the differences in the innovation output with their R & D partners.

To reach the aims, the authors matched two types of data: co-assigned patent portfolio of four automakers and relationship type between automakers and their co-assignees. Matching the company names of the two data sources allowed the authors to obtain the final data set used to carry out extensive descriptive and regression analysis, both on a firm- and patent-level.

Results show differences in the characteristics and the technological value of patented inventions in relation with the type of collaboration partner; they also support the authors in the identification of four co-patenting patterns (contingent, purposive, watchful and advanced) according to the co-patenting propensity and the presence of a preferred relationship type.

The paper contributes to the literature by investigating the presence of differences across the patenting activities of a selection of automakers and their supplier, allied and subsidiary firms. The issue related to patent value represents an emerging area of interest in the field of collaborations for innovation. The methodology constitutes a novelty by matching two different sources and standardizing the company names (“name game”) through an automated algorithm and a double manual check, by searching company web sites and corporate trees.