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In industrial and business-to-business (B2B) marketing research, a business network ecosystem is an important antecedent of small- and medium-sized enterprises’ (SMEs’) performance. The purpose of this study is to clarify the direct and indirect effects of ecosystem network health on SMEs’ credit quality.

The data is collected from a survey of operations managers and financial managers of 282 SMEs in China. Structural equation modeling is used to test the hypotheses, and latent moderated structural equations are used to estimate the moderating effect model.

This research indicates that ecosystem network health can directly affect SMEs’ credit quality and have an indirect impact on credit quality through value co-creation capability. In addition, better informal institutional arrangements in the ecosystem can amplify the positive effects of network health and value co-creation capability on SMEs’ credit quality.

From an ecosystem perspective, it is necessary to bring the ecosystem characteristics into business scenario and explore their impacts on SMEs’ financing behaviors. This study contributes to B2B marketing research in terms of investigating the role played by ecosystem characteristics and value co-creation capability.

Literature on strategic alliances (SAs) is large, diverse and growing. It needs synthesis and analysis for application and further research. Authors have also underlined the need for studies covering differences in structuring, situational application and management of alliances. This systematic literature review aims to cover dyadic, network and ecosystem (DNE) alliances with theory, context, characteristics and methodology (TCCM) methodology covering the life cycle stages of an alliance (pre-formation, formation and management) to uncover insights which inform practice and guide further research on this important subject.

This paper follows systematic literature review (SLR) methodology for research design and article selection and TCCM methodology for analysis. It also analyses the literature on DNE alliances using a nine-box matrix with DNE alliance forming one axis and three alliance lifecycle stages of pre-formation (alliance objectives), formation (alliance design and operationalisation) and post formation (alliance management) stages along the other axis.

Analysis indicates focus on individual firms and their own customer value proposition (CVP) in the dyadic and network alliances. Industries with fast-paced technological change benefit from loosely coupled alliances. Social context and social exchanges leading to collaboration and collective strengths mark network alliances, with a focus on knowledge creation and dissemination. Ecosystems focus on a collective CVP, which guides alliance behaviour. Ecosystem leadership guides this purpose through governance for sustained competitiveness. Negative consequences (dark side) of alliances can be mitigated by careful design, formation and management of DNE alliances.

While literature has focussed on static view of alliances in their industry or social context, this literature review analyses alliances along the dyadic, network and ecosystem typology, thus providing a new lens to study alliances. The review also recognises that alliances evolve over their life-cycle stages and observes their progression through their lifecycle stages aids for fuller comprehension of their behaviour. Areas for future research in structuring, leadership, value co-creation and technological change set an agenda for future research.

Dynamic managerial capabilities are drivers of alliance performance. The analysis using the nine-box matrix allows managers to better appreciate the options that exist and the consequences of their actions. Situating their alliance in the appropriate box can allow managers better plan, operationalise and manage their own alliances.

This systematic review compares and contrasts DNE alliances in extant literature and through their lifecycle stages. Insights from TCCM analysis and the nine-box matrix provide unique contribution to both theory and practice in this large and growing domain.

Purpose – The purpose of this essay is to explore further the concept of value cocreation from a service-ecosystems view, by considering the importance of networks and the configuration of relationships and resources in markets.

Methodology/approach – We use a conceptual approach to extend a service-dominant (S-D) logic, ecosystems view of value cocreation by drawing on the literature regarding networks in marketing and related research.

Findings – A service-ecosystems approach to cocreating value-in-context is proposed, which points toward networks as mediating factors in value cocreation because they influence the ability to access, adapt, and integrate resources by establishing exchange relationships and shaping the social contexts through which value is experienced.

Research implications – This research suggests that value cocreation is a complex and multidimensional process that is best studied in the context of dynamic networks or ecosystems of service exchange.

Practical implications – This research suggests that networks mediate value cocreation, and thus, firms should consider the configurations of relationships and resources to develop more compelling value propositions.

Social implications – This research draws on the idea that exchange relationships are embedded within society and suggests that processes of value cocreation not only draw on but also contribute to the social contexts that frame market exchange.

Originality/value of essay – This research extends the value cocreation and S-D logic literature by exploring the role of networks in service ecosystems. In this framework, networks are mediators of value cocreation because they enable access to resources and help to (re)shape social contexts through which value is derived.

The sharing of knowledge between partners in collaborative relationships is widely accepted to be fundamental to supporting strategic decision making, particularly in relation to innovation management and business sustainability. The purpose of this paper is to focus on how the structure of collaborative relationships in business networks may determine successful knowledge sharing and thus improve decision making and business performance.

Expert interviews were conducted with participants operating in networks and business ecosystem in four different sectors in Italy and Germany, exploring the process of knowledge sharing, organisational learning and decision making within collaborative relationships. A qualitative textual analysis was used to analyse the experts’ responses.

The research found that an organisation’s network position and the network structure, as well as the governance and richness of the business ecosystem in which it operates, influence its ability to share knowledge, to innovate and therefore to compete sustainably.

The research demonstrates that innovative strategic decision making, based on access to appropriate knowledge, occurs within the context of social and business network relations operating within a broader more diverse business ecosystem. Closer dyadic or small working group ties best facilitate trust and sharing of the most valuable knowledge. Appropriate participation in and management of such structures is therefore essential to support knowledge-based decision making, and critical to sustained competitive advantage.

The research focusses on how interfirm relationships are established and maintained, how firms establish trust and facilitate knowledge sharing forming the basis of organisational learning.

The purpose of this paper is to contribute to the interdisciplinary debate promoted by service research community by establishing the conceptual frame within which different perspectives addressing systemic and multifaceted approaches to innovation are framed. Growing research interest in innovation has led to different definitions, which are referred to here as “innovation system(s)”, “innovation network(s)” and “innovation ecosystem(s)”. The paper examines the theoretical foundations, outcomes, and patterns of contributions to which each innovation perspectives is tied and proposed a subject and the framework allowing an exploration of an interdisciplinary dialogue between the different research positions.

A literature review was conducted to discern differences in concepts and their meanings. An overview obtained using Web of Knowledge leads to a focus on studies, followed by a content analysis using NVivo, which enables identification of key concepts and their definitions. By highlighting relationships among terms, the paper establishes a framework of the ontological assumptions of different innovation discourses and explores their contribution to the interdisciplinary dialogue promoted by service research perspective on innovation.

A comparison among the three innovation perspectives leads us to focus on innovation itself, alongside context, actors, enablers, and governance, which are useful to mark the commonalities and differences among the three research approaches. The framework is helpful to break down the fragmented and sometimes overlapping points of view of innovation and provides a more integrative stance from which to address the emergence of the service ecosystems approach on innovation.

The investigation focuses on three innovation perspectives and on top-cited articles alone; hence, it can be complemented with a full analysis through a bibliometric approach to test whether the features highlighted are linked to other elements. Moreover, the different approaches grouped on “innovation ecosystems” perspective suggest the possibility to enhance service ecosystems discourse on innovation by looking at different knowledge and contributions that are rapidly growing in this area.

The central idea this work puts forward is that after some decades of separation, there is a need to move towards an increasing convergence of economics, business and service based on the milestones of innovation systems, innovation networks, and innovation ecosystems thoughts.

This research sheds light on the different ways innovation, in multi-actor and the interconnected setting, is theoretically framed and described. By capturing established thinking in different innovation perspectives, the paper provides an integrated framework to making sense of the full picture of economies and societies seen as complex networks and systems of service systems.

Small and medium-sized enterprises (SMEs), typically with limited resources, strive hard to obtain the trust of ecosystem participants as an orchestrator. Accordingly, the firms do not have sufficient legitimacy to persuade other parties to join their networks. This study aims to investigate how an SME operating in the publishing industry orchestrates ecosystem participants. In particular, the study analyzes how the orchestrating firm stimulates interactions among ecosystem participants.

Case study research with a qualitative approach has been documented as a well-accepted method for investigating complex phenomena and for theory building. Collected data from various informants and different collection techniques are triangulated to ensure validity. Cross-case analysis to identify common patterns is undertaken as the basis for developing a sound conclusion.

The study demonstrated what orchestrating firms should do to foster innovations and how they benefit from other participants in the ecosystem. The analysis identified the orchestrator's four roles: entrepreneurship networks, knowledge activation, innovation intermediary and network leadership. Among the four roles, there are interrelationships, and to some degree, these overlap. The orchestrating firm must emerge into the ecosystem and work together with all members of the ecosystem. Managers of the orchestrating firm and network members should collaborate to find the most beneficial configuration for all ecosystem participants.

This research is limited to the knowledge-intensive publishing industry. The use of specific industries closely related to innovation provides an advantage in the way that enables researchers to conduct depth analysis, but at the expense of generalizability, and therefore, future research can analyze different industries.

This study focuses on networks as the unit of analysis. Previous studies assumed individual firms as the unit of analysis and ignored the fact that companies interact with other companies when pursuing open innovation. The study focuses on the interactions between actors as the unit of analysis and on the role of orchestrators undertaken by an SME.

The purpose of this article is to develop a model to assess entrepreneurial ecosystems. Specifically, the authors examine how to measure value creation and value capture mechanisms from a single participant's perspective and at the ecosystem level through a strategic value network-based approach.

Building on extant research on strategic networks, value networks and business models and leveraging a qualitative survey, the authors develop and test an assessment tool to measure value creation and capture within the entrepreneurial ecosystem of the San Francisco Bay Area.

The authors show that value-based measures on entrepreneurial ecosystems provide a systemic approach to assess how ecosystems operate, which can guide policymakers, entrepreneurs and all the other stakeholders of entrepreneurial ecosystems in their strategic decision-making process.

The authors provide an original model grounded in the strategic management and entrepreneurship literature for entrepreneurial ecosystems' assessment as few studies have done before. Besides, the authors provide an illustrative attempt to show how to empirically apply the original model by assessing the San Francisco Bay Area's entrepreneurial ecosystem.

The purpose of this paper is to explore a way to reshape the business ecosystem for existing industries by comparing traditional and Shanzhai networks in China. The research is also conducted on the supporting activities by service intermediaries in the ecosystem.

This research starts with a literature review on firms' strategy of industry maturity from three perspectives, including technology orientation, innovation orientation, and network orientation. The approach of multiple case studies is adopted to unveil the reshaping process of the business ecosystem. Two types of networks are mapped: the traditional mobile companies' network and the Shanzhai network. Intra‐network and inter‐network cross‐case analyses aim to generate the research findings and provide implications for different ecosystem players.

First, the relationship between industry and the business ecosystem is placed into a two by two matrix. Second, in order to reshape the business ecosystem, the traditional network prefers geographical dispersion to other countries to establish a new ecosystem, whereas the Shanzhai network brings niche substitutes to cut down industry entry barriers. Third, government agencies, as one of the service intermediaries, not only support the traditional network dispersion by providing preferential policies, but also support the reshaping process enabled by the Shanzhai network with legal guidance and resource capture. Fourth, other service intermediaries such as law firms, technology services, talent searchers, financial and industry associations, have greater impact on the Shanzhai network than on the traditional network. Fifth, from the comparison between these two networks, strategies to reshape the ecosystem can be differentiated in five aspects: frugal solution, platform enablement, organization recentralization, downstream innovation, and regulation adaptation.

This research further develops the observations into service intermediaries not only in core business but also in the extended level of the business ecosystem. The Shanzhai phenomenon also provides an excellent example implicating classical theories like cluster, innovation and global manufacturing virtual network. From a methodology perspective, this research combined the roadmap methods and cross‐case analysis. However, this study focuses more on Shanzhai network study than the traditional network.

Five nurturing strategies implicate small firms in the Shanzhai network and large firms in the traditional network as well as service intermediaries.

This paper is the first one to deeply study the relationship between industry and the business ecosystem in China, and the reshaping process of a mature business ecosystem from the traditional network, Shanzhai network and service intermediaries' perspectives.

The purpose of this paper is to illustrate, through the example of the Springfield Armory and its role in the development of interchangeable parts, the critical role of government in establishing a cluster of organizations that evolved into an innovation ecosystem primarily located in the Connecticut River Valley in the 1800s. Using the Springfield Armory example, we use the related but largely unjoined concepts of ecosystem and networks to show that these organizational forms are effective in driving innovation.

The design uses an in-depth analysis of the role of the Springfield Armory to explicate the joining of network and ecosystem theory as an early example of the importance of governmental funding and support for innovation.

The development of interchangeable parts in the American arms industry in the 19th century transformed manufacturing worldwide. At the heart of this transformation was the network of arms makers that developed in the Connecticut River Valley as a direct result of US Government investment and support. This network of arms makers evolved into an ecosystem of mutually reinforcing relationships as machine tool manufacturers benefited from an environment of free-flowing intellectual property, information and growing governmental demand for arms. The Armory illustrates the government’s role in initiating and sustaining clusters of innovation that otherwise might not have developed as quickly.

Much of the research on the role of government in creating innovation ecosystems and organizational networks is based on modern organizations. This use of the Springfield Armory in the early 1800s broadens the knowledge on how innovation ecosystems in conjunction with networked organizations can be created by governments serving the public good.

Despite the abundance of research in open innovation, few contributions explore it at inter-organizational level, and particularly with a focus on healthcare ecosystem, characterized by a dense network of relationships among public and private organizations (hospitals, companies and universities) as well as other actors that can be labeled as “untraditional” player, i.e. doctors, nurses and patients. The purpose of this paper is to cover this gap and explore how knowledge is transferred and flows among all the healthcare ecosystems’ players in order to support open innovation processes.

The paper is conceptual in nature and adopts a narrative literature review approach. In particular, insights gathered from open innovation literature at the inter-organizational network level, with a particular attention to healthcare ecosystems, and from the knowledge transfer processes, are analyzed in order to propose an interpretative framework for the understanding of knowledge transfer in open innovation with a focus on healthcare ecosystem.

The paper proposes an original interpretative framework for knowledge transfer to support open innovation in healthcare ecosystems, composed of four main components: healthcare ecosystem’s players’ categories; knowledge flows among different categories of players along the exploration and exploitation stages of innovation development; players’ motivations for open innovation; and players’ positions in the innovation process. In addition, assuming the intermediary network as the suitable organizational model for healthcare ecosystem, four classification scenarios are identified on the basis of the main players’ influence degree and motivations for open innovation.

The paper offers interpretative lenses for managers and policy makers in understanding the most suitable organizational models able to encourage open innovation in healthcare ecosystems, taking into consideration the players’ motivation and the knowledge transfer processes on the basis of the innovation results.

The paper introduces a novel framework that fills a gap in the innovation management literature, by pointing out the key role of external not R&D players, like patients, involved in knowledge transfer for open innovation processes in healthcare ecosystems.