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The purpose of this paper is to explore the ways in which firms nurture the business ecosystem for the development of emerging industries.

The research uses a qualitative research methodology with multiple case studies, namely two groups of companies in the PC and mobile business ecosystems.

This paper argues that industry renewal or emergence relies on the convergence and evolutionary process of the relevant business ecosystems. It analyzes the challenges faced by emerging industries, especially uncertainty issues concerning technology, application, and market. To deal with these uncertainty issues, firms within business ecosystems have developed two kinds of strategies: the core‐firm platform strategy and the niche‐firm supplementary strategy with an integrated supply chain. By using such strategies, firms together follow a three‐step process, including adjustment, adoption, and convergence, to help nurture the emerging industry.

This study only conducts interviews with industrial practitioners in the mobile computing business ecosystem, without covering other stakeholders.

First, the study describes the platform and supplementary strategies to deal with industry uncertainties; second, the analysis also identifies a three‐step collective behavior to achieve industry convergence.

The paper extends the study of business ecosystem theory into supply chain management by embedding different roles and strategies as well as collective behavior into a dynamic business environment.

The study analyses how Industry 4.0 and underlying digital technologies influence the design of ecosystems in global value chains (GVCs).

A qualitative-exploratory research design is used. It deploys a multiple case study based on semi-structured interviews with 73 German managers of multinational enterprises. Applying a qualitative content analysis, the expert interviews are inductively analyzed and triangulated with secondary data to develop a synthesized data structure.

The analysis reveals a general tendency towards decentralization of value chain activities. Depending on the nature of each activity and several contextual factors, however, hybrids between centralization and decentralization of processes can be observed in Industry 4.0 environments. Consequences for global ecosystems are altered cooperation with business partners, new organizational forms and novel market environments.

Given inherent limitations in scope and methodology, the study calls for cross-industry and cross-country analyses. Further studies should research implications of Industry 4.0 changes in ecosystems and GVCs, and the role digital platforms can play in this context.

The results help companies to analyze and adapt their role in ecosystems and associated GVC activities to Industry 4.0 environments, thus staying competitive in changing market conditions.

This study is among the first to empirically investigate the influence of Industry 4.0 on ecosystems embedded in GVCs. Reflecting existing company environments, it adds an international and company-external perspective to Industry 4.0 research.

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 identify actions and guidelines for enabling and fostering the Industry 4.0 adoption, as well as to understand the role of three ecosystem actors in these actions (i.e. companies, educational organizations and regional policy makers).

52 semi-structured expert interviews in the Tyrol-Veneto cross-border macro-region were carried out and interpreted using the innovation ecosystem concept. In particular, drawing from this latter, six ecosystem building blocks were identified and used to analyze the interviews' content.

The findings allow not only to build a comprehensive framework for action to support Industry 4.0 adoption, but also to confirm the importance of exploring Industry 4.0 through the lens of the ecosystem concept. Indeed, the authors show that R&D activities should be complemented with interorganizational actions, such as training and networking, and that all ecosystem actors should be involved in the Industry 4.0 adoption.

This is among the few studies that adopt the innovation ecosystem perspective to explore best practices for Industry 4.0 adoption, thus overcoming the weakness of existing papers based on a firm-level perspective. It also complements previous ecosystem-based research on Industry 4.0 by exploring the technology adoption side, rather than the technology provision one, and by considering the adoption of a wide set of technologies.

The purpose of this paper is to develop an industry 4.0 (I4.0) innovation ecosystem framework by exploring the essential components of the same to ensure the collaborative efforts of different stakeholders.

In this research work, important perspectives and their sub-components for the I4.0 innovation ecosystem framework are identified by performing a systematic literature survey of peer-reviewed journal articles. Then, I4.0 challenges among higher education (HE) institutions students and industries in India are explored by adopting the questionnaire-based research approach. Finally, the importance of the identified perspectives and their sub-components and causal relations among components are analyzed by using the decision-making trial and evaluation laboratory method.

From the literature survey, three perspectives and their 45 sub-components are identified for the I4.0 innovation ecosystem framework. The outcomes show that the industry has a direct impact on HE institutions and the government. While HE institutions are most influenced by the industry and government.

I4.0 innovation ecosystem framework is developed by analyzing responses received through questionnaires. There are other methods also available for ecosystem framework development, which are beyond this study.

This research work will facilitate policy formulation by the government. It will also help the managers to develop strategies for the adoption of I4.0 enabling technologies in their business.

This research study gives an idea about the innovation ecosystem framework for the successful adoption of I4.0 enabling technologies in Indian Manufacturing Industries.

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.

This paper addresses resource redeployment in ecosystems. Prior research examines the value of resource redeployment across product markets in multi-business firms. In contrast, resource redeployment across ecosystems is an important corporate strategy employed by both single- and multi-business ecosystem firms that has received little attention. To address this gap, we present a case study of resource redeployment by an entrepreneurial firm in the US residential solar industry. We propose that the value creation mechanisms (i.e., improving capabilities, bottleneck relief) are fundamentally different when resources are redeployed in ecosystems. We identify “consumption-side” interdependence of components and “production-side” resource relatedness as playing critical roles in both types of value creation and propose conditions under which resource redeployment is most valuable. Overall, we contribute insights into the literatures on resource redeployment and strategy in business ecosystems.

The purpose of this paper is to propose a research design that seeks to explore the evolutionary pathways of the emerging electric vehicle (EV) industry through employing the business ecosystem framework, which focuses on the interaction between firms, government officials, industrial associations and customers; and at the same time to identify the necessary strategic capabilities behind such emergence.

Qualitative research methodology will be employed such that multiple case studies will be carried out through the implementation of interviews with companies, industrial players and policy makers.

The research findings of this paper include a comprehensive depiction of the emerging business ecosystem structure of the EV industry, which contributed in building the main elements of the proposed conceptual research framework.

The research findings of this paper are based on one province in China; also the business ecosystem of the emerging EV industry may differ in different regions across the country.

Practically, this research would be able to provide a tool for industrial players and policy makers through the formulation of a capability maturity model, which allows the evaluation of the capabilities of the corresponding ecosystem players, so as to permit the assessment of their positions with the provision of guidelines benefiting the advancement of emerging industries.

This paper offers original theoretical contributions through developing strategic capabilities of emerging business ecosystems and is the first to provide a comprehensive structure on the low‐speed EV industry in China.

This study analyzes how the innovation ecosystem helps integrate technology-push and market-pull strategies in the Industry 4.0 paradigm.

This study investigates companies' involvement in the Industry 4.0 paradigm through technology-push strategies, and through both technology-push and market-pull strategies. The authors perform two econometric logit models to test the influence of collaborations with heterogeneous actors, research and university relationships, and relations with business incubator (the pivot actor) on companies' involvement in Industry 4.0.

The study empirically shows that developing relationships with a greater diversity of actors, collaborating with university and research laboratories, and developing intense relationships with business incubator increase the likelihood for companies to integrate both technology-push and market-pull strategies in companies' involvement in the Industry 4.0 paradigm.

This study provides insights to practitioners who are interested or involved in the new Industry 4.0 paradigm. The authors' study explains how specific features of an innovation ecosystem, such as complex interactions among actors, can stimulate creative ideas and successfully implement innovations to address Industry 4.0 challenges.

First, the authors confirm the role of the innovation ecosystem on companies' involvement in the Industry 4.0 paradigm. Second, the authors study highlights that the innovation ecosystem is a new relevant framework that enables companies to integrate both technology-push and market-pull strategies. Third, we provide empirical evidence about the role of business incubator on firms' strategies to get involved in the Industry 4.0 paradigm.

This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems.

The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases.

The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures.

Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations.

The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model.

This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.