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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.

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.

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.

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 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.

The purpose of the paper is to examine the role of trust and distrust in social networks within the entrepreneurial ecosystem and to develop a conceptual scheme of the impact of trust and distrust on productive and unproductive entrepreneurship.

This study develops a conceptual scheme, founded on the social capital and resource-based view of a firm, by exploring the impact of trust and distrust on entrepreneurial behavior in a social network.

As the paper indicates, trust within an entrepreneurial ecosystem has a positive impact on productive entrepreneurship, while distrust within the ecosystem is expected to be unproductive and destructive (or potentially illegal) to an economy.

The research implication of this paper is that it connects levels of trust and distrust within the ecosystem to the type of the behavior exhibited by entrepreneurs leading either to productive or unproductive entrepreneurial endeavors. As this study is based on the theoretical review resulting in a conceptual scheme, it requires further investigation of proposed interactions.

This paper offers strategic alternatives for entrepreneurs seeking to enhance future endeavors by strengthening trust within social networks for the mutual benefits of the ecosystem and businesses within it.

This study highlights the importance of two social constructs of trust and distrust in maintaining existing and developing future ecosystems. It also reviews potential outcomes of entrepreneurial behavior and their impact on economies.

This research examines both trust and distrust (two separate social constructs) as significant predictors of future outcomes in the entrepreneurial ecosystem that go beyond productive entrepreneurship.

This study aims to investigate the impact of an institutionalized market context on platform ecosystem development. It studies how platform ecosystems are set up and evolve in the asset management industry and explores the role of the platform leader and selected core network partners in unleashing value innovation notwithstanding institutional barriers. A problematization lens is used to identify deviations between the management practices in this industry setting and the prescriptions and suggested practices in the extant literature on platform ecosystem development.

The research follows a retrospective longitudinal single-case design focusing on the development of a new platform ecosystem to which several PaaS initiatives are linked. It is based on 13 in-depth interviews over a one-year period triangulated with documentation and member checks. This study identifies the impact of regulations and norms on the early stages of platform ecosystem development.

In this institutionalized market, intensified interactions between carefully selected strategic market players focusing on platform development, lead to growing value innovation initiatives. The collaboration between core actors evolves “under the radar” with select partners and with lots of controls by incumbents. The value innovation process evolves in a non-disruptive way. Initially, the new value initiatives are rather incremental and focus on optimizing the present business models while slowly adding new peripheral services shared as successful signs of value innovation initiatives. This “submerged” direction enables platform actors to gather critical mass and stimulates co-evolution with key players.

This paper outlines one vertical and looks at various principles involved during early stages of platform development. Because the authors have chosen a deep dive into one institutionalized setting, future studies could investigate a broader scope of institutionalized settings/verticals and a broader scope of management stages and related practices to replicate the study and corroborate the findings. The idea raised from hybrid platform ecosystem development also warrants further study.

Practitioners in institutionalized business-to-business markets find suggestions on how to overcome institutional barriers to platform ecosystem development and this study shows which levers can be used by core actors of ecosystems to strengthen established business models and simultaneously unleash value innovation initiatives.

This study contributes to the understanding of the challenges to be faced when setting up and expanding platform ecosystems in a highly institutionalized setting and identifies “levers” to create a smooth flow and snowball effect for platform ecosystem development. It “fine-tunes” the extant literature on platform ecosystem development to institutionalized markets.

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.