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This paper aims to explore the latent structure of the literature on interorganizational network and innovation as well as to map the main themes and empirical advances in this research stream.

Using bibliometric coupling, the authors analyze the citation patterns in 67 management studies regarding innovation networks, published in ISI-journals from January 1996 to October 2012.

The authors identify the conceptual orientations that studies share. Bibliometric analysis allows us to draw an overview of how this field of research has developed, recognizing in essence six main clustered research themes: networks as a framework that sustains firm innovativeness in specific contexts; network dimensions and knowledge processes; networks as a means to access and share resources/knowledge; the interplay between firm and network characteristics and its effects on innovative processes; empirical research on networks in highly dynamic industries; and the influence of industry knowledge domain’s peculiarities on network dimensions and characteristics.

By providing a comprehensive survey of current trends in the literature on interorganizational network and innovation, the authors eventually identify the major gaps in our knowledge and help refocusing the current research agenda in this increasingly relevant research stream.

The systematic introduction to the field of innovation networks is of notable interest to scholars and practitioners, who have (or desire to have) some awareness in the topic. Here, practitioners may find their compass to acquire some knowledge on innovation networks and orient their choices.

First, the spatially organized picture of the intellectual structure of the literature the authors offer is the initial thought-out comprehensive introduction to the field of on interorganizational network and innovation. Second, by developing a thorough bibliometric analysis of the extant bulk of the innovation networks literature, the authors develop specific methodological contribution. Third, we are able to map the intellectual structure in a two-dimensional space to visualize spatial distances between intellectual themes.

The purpose of this paper is to provide an overview of the available insights regarding interorganizational network evolution. The research questions being addressed are as follows: What is the nature of interorganizational network evolution? And what causes interorganizational network evolution? The review hence focuses on the nature of interorganizational network evolution (at the ego-network level and whole-network level) and the causes of interorganizational network evolution (firm-related causes and environmental causes). This paper highlights relevant gaps in the existing literature on interorganizational network evolution while outlining a research agenda by identifying key research questions and issues requiring further scholarly contributions to stimulate research in this field.

An extensive review of scholarly peer-reviewed English language journal articles was conducted in the subject areas of economics, sociology, business and management (including entrepreneurship) while excluding articles in the domain areas of computer science that dealt with computer networks and the health field that addressed neural networks to obtain articles on interorganizational network evolution for the period 1970-2019. Various journal databases such as EBSCO, ScienceDirect (Elsevier), Emerald, JSTOR and ABI/INFORM and Ebook Central on ProQuest were used to extract relevant articles using specific keywords.

To better understand this phenomenon of interorganizational network evolution, there is a need for future studies to focus on the less researched areas such as the “nature of evolution” of EINR1, EINR3 and EINR4 and the “causes of evolution” of FRC3, FRC5, FRC7 and FRC8. Further, over the years, in comparison to the evolution of interorganizational network relationships (EINR), fewer works have considered the evolution of overall interorganizational network structure (EINS). The research studies on environmental causes (EC) have been less in number in comparison to firm related causes (FRC), and this could be an area for further research. Also, studies on interorganizational network evolution have not examined the impact of FRC1 on EINR 3 and only a few studies have examined the impact of FRC1 on EINR1 and EINR4. Less attention has been given to the impact of FRC2 on EINR1, EINR3, EINR4 and EINS. Additionally, the impact of FRC3 on EINR1, EINR3 and EINS needs more in-depth examination. The impact of FRC4 on EINR4; FRC5 on EINR1, EINR2 and EINR4; FRC6 on EINR1 and EINS; and FRC7 and FRC8 on all forms of “nature of interorganizational network evolution” requires more research work. Finally, the impact of EC on EINR3 and EINR4 is also a less researched stream in the literature needing more scholarly contribution to better understand the phenomenon under consideration in this study. Some of the least explored theoretical lenses and relevant questions that can be addressed using these lenses to advance research on network evolution have also been discussed.

The main contribution of this paper is that it provides a comprehensive literature review, collating the dispersed knowledge on interorganizational network evolution – nature of evolution and causes of evolution, identifying areas that require further research attention for the development of this domain.

The purpose of this paper is to understand the link between the organizing of service networks and interorganizational learning strategies.

By deepening the conceptual understanding of service networks and their central properties, an overview of the learning challenges for improved performance is provided. The implications of learning are then discussed using four conceptual types to advance our understanding of learning in various service networks. Two different frameworks are combined, one designed to analyze the properties of service delivery and the other to understand their interorganizational learning implications for different types of service networks.

This paper examines the central properties of service network delivery and explains their implications for interorganizational learning strategy operationalized in a service network typology.

The proposed framework deepens the understanding of the concept of service networks and brings attention to properties that have implication for interorganizational learning. Knowing the central properties in detail and their major organizing challenges allows for learning strategies to improve service network performance.

The value lies in the deepening the understanding of interorganizational learning in service networks, which is much needed in the growing body of literature on both concepts.

Supply chain management literature recognizes that interorganizational networks provide resources that convey critical benefits, such as capital, competitive advantage and efficient strategy implementation. The purpose of this paper is to leverage network theory and identify technological innovations as the antecedents for organizations to achieve stronger interorganizational networks. Specifically, this paper investigates how supply chain technologies of its logistics affiliate, Cainiao Network (CN), affect Alibaba Group’s three fundamental network mechanisms reachability, richness and receptivity and how interorganizational networks subsequently drive Alibaba Group’s performance.

A case study approach was chosen as a methodology to develop an in-depth understanding of the proposed innovations-network-performance framework.

Results indicate that innovative technologies positively lead to network reachability, richness and receptivity. Stronger interorganizational networks directly lead to higher performance. In addition, CN is identified as a unique innovative business model.

The key contribution of this research is that it investigates Alibaba Group’s performance from a network and innovation perspective. It identifies technological innovations as a key driver for stronger interorganizational networks. Furthermore, three network mechanisms are introduced and investigated as the antecedents of organizational performance. This research also provides a comprehensive description of Alibaba Group and CN.

This study aims to demonstrate how governmental authorities can take interorganizational network responses to address unexpected situations developed by the breakdown of critical infrastructure, such as communication failure in a hyperconnected society.

This study uses social network analysis to investigate the performance of interorganizational response networks regarding the 2018 KT network blackout, a failure of telecommunication facility, compared to the planned network.

The national fire agency was the most prominent actor in the actual interorganizational network, while the actor was not significant in the planned network in addressing unexpected needs. Moreover, top government authorities were involved in the actual response network because of the national attention on the breakdown of the infrastructure as a focusing event.

Unexpected conditions in the actual response to a technological disaster, such as a critical infrastructure (CI) breakdown, require the involvement of emerging or non-significant actors in accordance with the findings related to other types of disasters. Particularly, communication failure in a hyperconnected society may involve prominent government authorities in the actual interorganizational response because of the event's broad and severe impact on the functions of society.

Sharing services increasingly extends beyond intraorganizational concentration of service delivery. Organizations have started to promote cooperation across their boundaries to deal with strategic tensions in their value ecosystem, moving beyond traditional outsourcing. This chapter addresses two research questions geared to the challenge of interorganizational shared services (ISS): why would organizations want to get and remain involved in ISS? And: what are the implications of ISS for (inter)organizational value creation?

The conceptual chapter reviews literature pertaining to ISS from public, commercial, and nongovernmental sectors. ISS is understood as a multistakeholder organizational innovation. In order to analyze ISS and conduct empirical research, we developed a taxonomy and research framework.

The chapter shows how ISS can be positioned in value chains, distinguishing vertical, horizontal, and hybrid ISS. It outlines ISS implications for developing business models, structures, and relationships. Success factors and barriers are presented that epitomize the dynamic interplay of organizational autonomy and interorganizational dependence.

The research framework offers conceptual ideas for theoretical and empirical work. Researchers involved in ISS studies may adopt strategic, strategic innovation, and organizational innovation perspectives.

ISS phases are distinguished to focus innovation management — initiation, enactment, and evaluation. Furthermore, insights are provided into processes and interventions aimed at making ISS a success for participating organizations.

Cross-sectoral perspective on ISS; taxonomy of ISS; research framework built on organization and strategic management literature.

By applying upper echelons perspective to the choice of full or shared control entry modes, this study aims to explore the moderating effect of interorganizational network on the top management team (TMT) characteristics and entry mode choice relationship. Existing studies on TMT’s demographic characters’ influence on entry mode choice remains inconclusive. The implicit assumption in extant literature is that firms share similar network structural advantages. This study integrates the largely ignored, network structural concept with entry mode to show how firm-level decisions are the outcome of interaction between internal and external environment.

The interorganizational network is modeled using board interlock data. The moderating effect of network is modeled on network size, centrality of the firms and density of ties, considering tenure and international experience of the upper echelons. The hypotheses are tested based on a sample of 83 publicly listed Indian firms from 2012 to 2015.

The findings indicate that despite a high international experienced TMT’s preference of full control entry mode, the high central position of the firm can influence the decision against full control entry modes. However, the choice of full control entry mode is also enhanced by the density of firm’s network. Similar evidence is also observed with tenure variable as well where the moderating variables showed a trend toward influencing the entry mode choices.

Thus, this study attempted to reconcile the inconsistencies prevalent in the relationship between TMT variables and choice of entry mode by introducing the contextual factor of interorganizational networks.

The evolution of interorganizational networks is shaped by micro and macro processes. At the micro level organizational dyads negotiate relationships in light of their own cost—benefit analysis. At the macro level resources flow through networks and are mobilized by coalitions. Current research is beginning to examine integrating mechanisms which link network dynamics to dyadic relationship formation. In this paper we examine interorganizational brokerage as an integrating mechanism linking micro and macro network processes. We focus on the formation of networks in the global television industry. The Children's Television Network (CTW) has licensed and co‐produced its flagship program “Sesame Street” in many countries around the globe. Recently, it has expanded beyond a strategy based on direct first‐order linkages to one of brokerage and interorganizational entrepreneurship, entailing the formation of second‐order linkages—linkages between organizations with which CTW has direct first‐order relationships. In the aftermath of the Oslo Peace Agreement, CTW acted as a broker and sponsor of a joint venture between Israeli and Palestinian broadcasters. The main challenge facing CTW was a high degree of distrust between the parties motivated by fears of opportunistic exploitation. Such fears typically result in high transaction costs, making joint venture formation difficult, if not impossible. In its capacity as broker, CTW worked to reduce transaction costs. This was done by providing resources where needed, and by facilitating interaction and trust building between the parties. We describe CTW's tactics during the formation of this joint venture, and we analyze the outcome of the joint venture from the point of view of CTW's overall strategy. We conclude by discussing CTW's network and brokerage strategy in the aftermath of the joint venture.

Social network perspective to interorganizational relations focuses on the effect of organizations’ external relationships in collaboration as opposed to their internal resources and capabilities. It presumes that effectively managing such relationships is vital to gaining collaborative synergies. The purpose of this paper is to contribute to the growing interest in the social network perspective to explain supply chain collaboration.

Literature from the network field is discussed in the context of interorganizational collaboration. A logistics service provider’s network is explored in depth leading to the inductive construction of a multi-level model of social network collaboration.

The conceptual model provides a useful lens to evaluate supply chain collaboration. The symbiotic relationship between interorganizational and interpersonal networks is highlighted as vital for effective collaboration.

The conceptual model has only been developed from a single network. Wider application is required to ensure generalizability. The critical role of the personal networks of boundary spanning actors at different levels wants further investigation.

Partners’ intra-organizational structures and personal ties of boundary spanners, both at the senior and operational level, have a profound effect on supply chain operations.

Personal networks interact with organizational networks and complement each other in yielding interfirm collaborative synergies.

Offers a discussion on the interorganizational network approach as an interesting, alternative avenue for the development of sponsorship research. An example of how to describe and analyze a sport sponsorship arrangement case, using the interorganizational network approach as a theoretical frame of reference, is presented. Researching sports sponsorship from a network perspective extends the interorganizational network thinking from a traditional industrial/marketing channel context to the context of sponsorship formed by actors from the fields of sports, media and business. The phenomenon of networking is quite visible in the case of NMP‐FIS sponsorship arrangement. NMP has entered into relationships with various types of organizations in order to more effectively gain benefits from its sponsorship investment. Actors of the NMP’s focal snowboard sponsorship net possess different kinds of resources linked to public relations management, sports management and distribution of television rights. Different network actors bring to the arrangement not only their own resources and capabilities, but also their own networks of value adding relationships. Consequently, when planning international sponsorships companies need to assess not only the sponsored event/organization (its resources) but also its corresponding network (ability to link activities and tie resources with those of other actors), i.e. the “network identity” of the sponsored. The case presented clearly demonstrates the appropriateness of the network approach to sponsorship and other service‐oriented situations different from the “traditional” production situations. Further research could continue to add examples from other kinds of sponsorship relationships and networks, for example, from different kinds of sports and arts sponsorship arrangements. Furthermore, longitudinal perspectives are needed in order to gain understanding of the development processes of sponsorship relationships and networks.