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The key concept of ecosystem-based adaptation (EbA) is how to think of ecosystem in daily lifestyles (both in urban and rural areas), and how ecosystem-based adaptation can be a tool to adapt daily lives in changing climatic conditions. Sustainably managing, conserving, and restoring ecosystems so that they continue to provide the services that allow people to adapt to climate change is known as ecosystem-based adaptation. Summarizing the key observations provided in the earlier chapters, this chapter provides the ways of action-oriented ecosystem-based adaptation.

At Haier, one of the world’s largest suppliers of kitchen appliances, an initiative successfully transformed a culinary innovation into a novel ?ecosystem brand? ? a rapidly emerging economic model that is disrupting industries from entertainment and electronics to aviation and IT.

In addition to attracting and engaging users/ customers and employees, the brand must now be effective with a third stakeholder group: ecosystem partners.

Without a brand that attracts ecosystem partners an ecosystem will not exist.

Ecosystems use a variety of mechanisms and processes to encourage adherence to a consistent brand.

Because ecosystem companies can continuously customize their offering by configuring the individual value of ecosystem partners in new ways they can compete. in a new way

The paper investigates how the engagement of a group of actors (the volunteers), previously unexplored in service ecosystems literature, contributes to generating new co-creation activities and well-being outcomes in the healthcare service ecosystem (HSE). Moreover, the study analyses how the provision and integration of volunteers’ resources help to explain the HSE self-adjustment favouring the re-humanisation of service.

The article zooms in on the volunteers’ activities in an HSE. A qualitative approach is adopted, and an empirical investigation is grounded in data gathered from Kids Kicking Cancer (KKC) Italia, a volunteer association operating in the paediatric oncology ward of Italian hospitals. Data are collected and triangulated through in-depth interviews, volunteers’ diaries and observations. The analysis is conducted by adopting an interpretative thematic analysis technique.

The study provides a conceptual framework explaining how volunteers’ value co-creation activities influence the HSE’s self-adjustment by leading to a re-humanisation of services. The paper also contributes to the state of knowledge by identifying seven categories of volunteers’ value co-creation activities, two of which are completely new in the literature (co-responsibility and empowerment).

The paper contributes to the service research literature by identifying empirically grounded value co-creation activities extending the understanding of self-adjustment and re-humanisation of the service ecosystem.

With the widespread penetration of digital technologies, disruptive innovation is not developed by a single firm but is increasingly achieved by an ecosystem. However, limited research has examined the mechanisms involved in achieving disruptive innovation in the context of digitalization and ecosystems. To address this gap, we explore the impact of three dimensions of specialized complementary assets (SCAs) within the innovation ecosystem, human capital SCA (HCSCA), production SCA (PSCA) and marketing SCA (MSCA), on disruptive innovation in core firms through the mediation of digital capability, comprising digital operation capability (DOC) and digital resource collaborative capability (DRCC). Furthermore, innovation ecosystem embeddedness is examined as a moderator between digital capability and disruptive innovation.

Survey data were collected from 234 core firms in China’s high-tech industry. Hierarchical regression, AMOS, and PROCESS tools were used to examine the data.

The results reveal the following: (1) HCSCA and PSCA positively affect disruptive innovation, while MSCA is negatively correlated with disruptive innovation. (2) Digital capability mediates the relationship between HCSCA and disruptive innovation, as well as PSCA and disruptive innovation. However, it suppresses the negative impact of MSCA on disruptive innovation. (3) Innovation ecosystem embeddedness strengthens the influence of DOC on disruptive innovation, but weakens the influence of DRCC on disruptive innovation.

The findings advance the knowledge of disruptive innovation, SCAs within the innovation ecosystem, digital capability and innovation ecosystem embeddedness. They also provide practical insights into the effective implementation of disruptive innovation.

Sustainability transitions (STs) refer to large-scale step changes in complex systems required to face sustainability issues. We aim to delineate how they can unfold in service ecosystems, especially when inspired by regenerative thinking.

We develop a conceptual framework based on a processual view of STs and provide a propositional inventory based on literature leveraging deductive reasoning. Moreover, we contextualize our conceptualizations by showing illustrative examples of cities coping with STs.

We connect the perception of unsustainability with the shift toward service-dominant (S-D) logic and identify them as triggers of an ST; we focus on the role of nested service ecosystems and the adoption of regenerative thinking in STs; finally, we highlight the domino effect that can drive continuous change towards sustainability in service ecosystems. Future research could be focused on (loss of) sensemaking for driving STs, practical approaches to deal with institutional tensions in nested service ecosystems and the possible fractality of ST processes in service ecosystems.

This study supports the understanding of STs in cities and other systems such as industries, markets and organizations. It contributes to ST literature by suggesting the adoption of S-D logic and system lenses to identify, drive and cope with system changes toward sustainability, showing implications for policymakers and practitioners. Furthermore, it contributes to S-D logic by unfolding the self-adjustment of service ecosystems and the focus of sustainability initiatives on nested service ecosystems to sustain the broader systems. Finally, it contributes to transformative service research by identifying how the procedural and inspirational principles characterizing regenerative thinking can support design for STs.

This works provides a thorough understanding of the challenges and opportunities associated with Additive Manufacturing (AM) adoption in the medical sector. Through this analysis, we aim to better understand when to adopt AM, how to do so, and how such adoption might change in the future.

This research first conducted a systematic literature review (SLR) to identify AM challenges and opportunities in the medical sector, which were then validated through a Delphi study. The 18 Delphi study participants were also asked to suggest countermeasures for the challenges and help identify future AM adoption scenarios. Finally, these findings were analyzed according to the ecosystem pie model to design an ecosystem model for AM in the medical sector.

Among the 13 challenges and 13 opportunities identified, the lack of a skilled workforce and the responsiveness achievable via AM were by far the most relevant challenge and opportunity. Moreover, the participants identified countermeasures for 10 challenges, as well as three future AM adoption scenarios. Finally, leveraging these findings, an ecosystem model was developed.

This work contributes to the limited understanding of the AM challenges and opportunities in the medical sector. It helps medical practitioners to better understand the challenges and opportunities associated with AM and AM manufacturers to better identify where to focus their R&D efforts and how this would impact future AM adoption levels. Furthermore, this work extends current theory supporting the design of an ecosystem model for AM in the medical sector following the ecosystem pie model.

This study aims to investigate the components of a halal tourism ecosystem and how to establish a model for an effective halal tourism ecosystem. Therefore, each component can play a role in encouraging the productivity of halal tourism.

A qualitative approach was applied through in-depth interviews and focus group discussion (FDGs) with representatives of stakeholders who are associated with the development of halal tourism in Indonesia.

The results show that the effectiveness of the halal tourism ecosystem is primarily determined by the role of the government as an initiator and a policymaker. The halal tourism ecosystem must be run with universal Islamic norms, and it must be avoid exclusive rules.

This research concludes that the symbols in the halal ecosystem are not components that can glue the differences between various organizations and institutions in the context of tourism. However, the role of adhesive is substituted by its practice or implementation that can accommodate shared understandings of Sharia norms.

The growing interest on ecosystems on both managerial and academic side reflects a vibrant field of study, nevertheless, the subject is very heterogeneous and in particular concerning a particular form of ecosystems: collaborative ecosystems, the purpose of this study is to shed light on these.

The definition gap existent and the multiplicity of fields and composite studies on collaborative ecosystems have made it necessary to conduct a systematic literature review of the phenomenon, a bibliometric analysis and content analysis.

The research offers an overview of the phenomenon, three main cluster categories emerged: ecosystem, competition and open innovation; this cluster offers a comprehensive schematization of the research topics.

Limitations of this research are that the investigation has been confined to specific keywords related to collaborative ecosystems that led to a strict selection of papers to be analyzed and in having confined the investigation to publications in the managerial area. Further research will be able to expand the selection of keywords or use more strings and proceed to a comparative analysis of results. Another limitation is the small number of databases assessed (only Scopus and Web of Science) and have confined the analysis to specific clusters that emerged from the quantitative analysis of papers.

By proposing a taxonomy of collaborative ecosystems, the paper highlights what solutions and architectures an ecosystem manager must consider when developing collaborative ecosystems, what factors he or she must pay attention to in order to ensure their development and survival, and what elements determine the development of an ecosystem, in particular, the management of innovation and knowledge and the scarcity of resources in a hyper-competitive environment.

A combination of research methods was used to identify the intellectual structure of collaborative ecosystems. In addition, we propose a taxonomy for collaborative ecosystems, opening the study to new lines of investigation and providing a new research agenda.

An emerging research stream focuses on the place-based ecosystems where artificial intelligence (AI) innovations emerge and develop. This literature builds on the contextual turn in management research and, specifically, work on entrepreneurial ecosystems. However, as a nascent research area, the literature on AI and entrepreneurial ecosystems is fragmented across academic and practitioner boundaries and unconnected disciplines because of disparate and ill-defined concepts. As a result, the literature is disorganized and its main insights are latent. The purpose of this paper is to synthesize research on AI ecosystems and identify the main insights.

We first consolidate research on the “where” of AI innovation through a scoping review. To address the fragmentation in the literature and understand how entrepreneurial ecosystems are associated with AI innovation, we then use content analysis to explore the literature.

We identify the main characteristics of the AI and ecosystems literature and the key dimensions of “AI entrepreneurial ecosystems”: the local actors and factors in geographic territories that are coordinated to support the creation and development of AI technologies. We clarify the relationships among AI technologies and ecosystem dimensions and uncover the latent themes and underlying structure of research on AI entrepreneurial ecosystems.

We increase conceptual precision by introducing and defining an umbrella concept—AI entrepreneurial ecosystem—and propose a research agenda to spur further insights. Our analysis contributes to research at the intersection of management, information systems, and entrepreneurship and creates actionable insights for practitioners influenced by the geographic agglomeration of AI innovation.

The Open API (application programming interface) architecture will play an important role in promoting future FinTech service applications; however, it involves user data, and the current specialization and progression are less visible. Therefore, an evaluation framework for Open API development in the FinTech service ecosystem is constructed in this study.

This study preliminarily selects the four most important key objects and factors of this ecosystem and conducts expert interviews to revise the evaluation framework. Then, this study uses the fuzzy analytic hierarchy process (FAHP) to evaluate the objects and their factor weights and finally uses the FAHP analysis results to further apply the evaluation based on distance from average solution (EDAS) approach to explore the strategy optimization scenarios.

According to the analysis results, the co-creation object and productivity object are the two most significant objects, with weights of 0.275 and 0.272, respectively. The analysis shows that FinTech-related companies expect to increase productivity through co-creation. Finally, the results also indicate that mobile payment is the best Open API application scenario in the FinTech service ecosystem, followed by online banking. These results illustrate strategic and management implications.

This study screens key evaluation criteria with a literature review and expert questionnaire interviews to process quantitative research. It can determine the weights of objectives and criteria to clarify the strength of influence between the objectives and criteria. Next, this study measures the probable performance of Open API applied in various FinTech service ecosystem scenarios.