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Business Model Innovation is increasingly created by an ecosystem of related companies. This paper aims to investigate the transition of a manufacturing ecosystem toward electric vehicles from a business model perspective.

The authors investigate an automotive manufacturing ecosystem that is in transition toward electric and electrified vehicles, conducting semi-structured interviews with 46 informants from 27 ecosystem members.

The results reveal that the actions of several ecosystem members are driven by regulations relating to emissions. Novel requirements regarding components and complementary offers necessitate the entry of actors from other industries and the formation of new ecosystem members. While the newly emerged ecosystem has roots in an established ecosystem, it relies on new value offers. Further, the findings highlight the importance of ecosystem governance, while the necessary degree of change in the members' business models depends on their roles and positions in the ecosystem. Therefore, upstream suppliers of components must perform business model adaptation, whereas downstream providers must perform more complex business model innovation.

The paper is among the first to investigate an entire manufacturing ecosystem and analyze its transition toward electric vehicles and the implications for business model innovation.

In the African context, the threat of the disruption of traditional business value-creation processes, currently facilitated by the growing information technology (IT) ecosystem, came with the coronavirus disease 2019 (COVID-19) pandemic. Thus, this paper aims to investigate the impacts of the COVID-19 pandemic on interfirm relationships within the context of the digital ecosystem in Africa.

This study employs an explanatory–exploratory qualitative approach from an interpretivist stance to investigate the impacts of the COVID-19 pandemic on interfirm relationships. The authors conducted seven in-depth interviews with top management executives in a Nigerian technology company, together with the company's archival data that provided the pre, during and post pandemic (2018–2021) business-to-business (B2B) relationship structures, to determine how these relationships have been affected.

The results suggest that the pandemic had a minimal effect on partnership relationships in the B2B ecosystems of the case company but affected only non-partnership relationships.

The authors' qualitative study is interpretive and the sample size is limited. Hence, there is a need for caution in generalizing the findings. The framework can be further validated across a wider population.

Partnerships can help organizations weather business crises. Consequently, organizations should maintain a healthy number of partnership relations to deal with periods in which challenges emerge in the business landscape. In other words, with tight contracts and a strategic focus on goals and objectives, partnership relations can help organizations weather business crises.

This study builds upon the burgeoning body of literature on digital ecosystems within the African context, which is a relevant contextual contribution.

Given the importance of immigration and immigrant entrepreneurs in advanced economies, the authors take an entrepreneurial ecosystem perspective to study the home-country benefits possessed by immigrant entrepreneurs and how home-country entrepreneurial ecosystem factors affect immigrant entrepreneurial motivations, activities and outcomes.

This conceptual research paper follows McGaghie, Bordage and Shea's (2001) four-step new theory creation process, which suggests that new theories can be created through facts extraction from the extant literature.

The authors propose that although immigrant entrepreneurs are unable to take full benefit of the host-country entrepreneurial ecosystem due to blocked mobility, they do have capabilities to access and use their home-country entrepreneurial resources and opportunities. The authors further propose that home-country entrepreneurial capital can be systemically analyzed through the framework of the entrepreneurial ecosystem. The results imply that immigrant entrepreneurship as a social and economic phenomenon can be studied more holistically from both host- and home-country perspectives compared to the traditional research boundary of the host-country only.

The research focuses on the identification of home-country effects on immigrant entrepreneurship through the lens of the entrepreneurial ecosystem. Testable propositions provide directions for future empirical research on the field of immigrant entrepreneurship from a home-country perspective. The research concludes that a holistic immigrant entrepreneurship study should consider dual (host- and home-country) entrepreneurial ecosystems.

Immigrant entrepreneurs benefit from both host- and home-country entrepreneurial ecosystems. This paper suggests co-effects of dual entrepreneurial ecosystems lead to a high rate of entrepreneurship and business success within some immigrant groups. Policymakers can increase economic activities by developing and deploying programs to encourage immigrants to embed in host- and home-country entrepreneurial ecosystems.

Based on the framework of the entrepreneurial ecosystem, this paper brings a novel perspective to examining home-country effects on immigrant entrepreneurship. It theoretically conceptualizes that immigrants have higher entrepreneurship rates than native-born populations because they have access to extra home-country entrepreneurial capital.

Fundamental changes in economic relations, instability of the market environment in which enterprises operate and increased intensity of competitive influences to obtain better business conditions emphasize the importance of the nature of interaction for all participants of business processes in the distribution channel and the success of the chosen business structure. This circumstance determines the expansion of the content of the ecosystem approach to the organization of enterprise activities and the clarification of the participants' roles in such systems. The purpose of the study is to identify the key features and differences in business models of digital ecosystem participants that are critical to shaping the value of the distribution system.

In this paper, within the framework of the theoretical component, the authors analyze conceptual and empirical articles contained in the Web of Science database and also rely on information obtained from the study of articles by Russian academicians in specialized journals, monographs and conference abstracts. Using the method of content analysis, data on enterprises were collected and generalized into cases, which made it possible to propose possible classification properties of enterprise archetypes within the digital ecosystem and to determine the general properties of the objects under study and their interrelations.

The systematization of results allows us to present a co-competitive activity model for ecosystem participants, depending on their archetype, where they are segmented according to the dominant principle of role and activity within the system. From a practical point of view, the considered classification of the archetypes of recipient enterprises and their economic relations make it possible to structurally visualize a digital ecosystem, which significantly reduces the distance between the consumer of the product/service, the manufacturer and the seller. This reduces the time of delivery and waiting as well as the time to find a suitable option making the market more perfect. The proposed conceptual framework indicates the interdependence of the development of all participants in the product distribution and proves that successful business models take part in the market expansion. Finally, the authors' systematic review of the academic literature results in identifying certain promising directions for future research based on the consideration of open ecosystems with transparent infrastructure.

The results are limited by the authors' sample data and the case study approach. The study does not show the further evolution of the digital ecosystem depending on the set and configurations of ecosystem participants. The authors introduce a possible new classification of archetypes of ecosystem participants and a co-competitive activity model for ecosystem participants depending on these archetypes.

From a practical point of view, the considered classification of the archetypes of recipient enterprises and their economic relations make it possible to structurally visualize a digital ecosystem, which significantly reduces the distance between the consumer of the product/service, the manufacturer and the seller.

From a practical point of view, the considered classification of the archetypes of recipient enterprises and their economic relations makes it possible to structurally visualize a digital ecosystem, which significantly reduces the distance between the consumer of the product or service and the manufacturer or the seller. This reduces the time of delivery and waiting as well as the time to find a suitable option making the market more perfect in this respect.

經濟關係作根本性的變化、企業營運的市場環境日趨不穩定、以及為求達致更好的經營狀況，企業不得不面對日益劇烈的競爭，這都清晰顯示了在分銷渠道內、業務過程中，所有參與者之相互作用的性質是必須重視的。同樣地，被採用的企業結構之成效也不可忽視。這情況就決定了企業在如斯的系統裏，對其經營活動的籌劃及參與者角色的闡明會擴大其生態系統方法的內容。本研究擬確定數位生態系統參與者的各商業模式之主要特點及不同之處；而這些商業模式，對分配系統價值之塑造、至關重要。

在本文中，我們在理論成分的框架裏，分析在Web of Science 資料庫內概念性和實徵性的文章。我們使用的資料，亦包括取自俄國院士在專業期刊、專著和會議摘要內發表的學術論文。研究人員透過內容分析，收集關於企業的數據，並概括為案例；這樣，研究人員就可以在數位生態系統裏提出企業原型可能的分類屬性，以及能夠判斷研究對象的一般屬性及它們之間的相互關聯。

研究結果之系統化，讓我們能夠依賴生態系統參與者的原型，為它們展示一個共同競爭活動模型，而在這模型裏，它們會根據在系統內作用和活動的主導原則而被分割。從實際的角度來看，因受援企業的原型及其經濟關係得到分類，故數位生態系統的結構可被形象化，這可大幅縮短商品或服務的消費者、製造商和銷售者三者之間的距離；這可減少交貨和等候的時間，以及尋找合適選擇所需的時間，使市場更趨完善。被提出之概念性框架顯示了在產物分佈上，所有參與者的發展是相互依賴的；同時，亦證實了成功的商業模式在市場擴展上擔當著一定的角色。最後，我們詳盡而有系統的學術文獻探討，確定了今後研究的某些合適方向，這都是建基於對擁有透明基礎設施的開放生態系統之研究。

研究結果因樣本數據以及採用了個案研究法而有其局限，研究沒有顯示數位生態系統如何依賴生態系統參與者的設置和配置而進一步進化。我們引進一個生態系統參與者原型的可能新分類，以及仗賴這些原型，為生態系統參與者介紹一個共同競爭活動模型。

從實際的角度來看，因受援企業的原型及其經濟關係得到分類，故數位生態系統的結構可被形象化，這可大幅縮短商品或服務的消費者、製造商和銷售者三者之間的距離。

從實際的角度來看，因受援企業的原型及其經濟關係得到分類，故數位生態系統的結構可被形象化，這可大幅縮短商品或服務的消費者、製造商和銷售者三者之間的距離；這可減少交貨和等候的時間，以及尋找合適選擇所需的時間，使市場就此而言更趨完善。

Digitalization accelerates the need of tourism and hospitality ecosystems to reframe business models in line with a data-driven orientation that can foster value creation and innovation. Since the question of data-driven business models (DDBMs) in hospitality remains underexplored, this paper aims at (1) revealing the key dimensions of the data-driven redefinition of business models in smart hospitality ecosystems and (2) conceptualizing the key drivers underlying the emergence of innovation in these ecosystems.

The empirical research is based on semi-structured interviews collected from a sample of hospitality managers, employed in three different accommodation services, i.e. hotels, bed and breakfast (B&Bs) and guesthouses, to explore data-driven strategies and practices employed on site.

The findings allow to devise a conceptual framework that classifies the enabling dimensions of DDBMs in smart hospitality ecosystems. Here, the centrality of strategy conducive to the development of data-driven innovation is stressed.

The study thus developed a conceptual framework that will serve as a tool to examine the impact of digitalization in other service industries. This study will also be useful for small and medium-sized enterprises (SMEs) managers, who seek to understand the possibilities data-driven management strategies offer in view of stimulating innovation in the managers' companies.

The paper reinterprets value creation practices in business models through the lens of data-driven approaches. In this way, this paper offers a new (conceptual and empirical) perspective to investigate how the hospitality sector at large can use the massive amounts of data available to foster innovation in the sector.

This paper aims to focus on the changing role of universities in university–industry collaboration (UIC) for enriching the regional business ecosystem network. For this, the authors analyze “Business Clinic Day,” (BCD) a specific UIC program which provides a consulting service for firms, small- and medium-sized enterprises (SMEs) having a specific problem, by a group of facilitators. It includes consultants such as chief executive officers (CEOs), professors and heads of regional public or private service providers. This study illustrates that various types of networks are formed between consultants and problem-owners by facilitation of university after the program.

This study has analyzed with social network analysis how the business network was changed from clinic day program. Furthermore, the networks surrounding SMEs are extended to the other people connected to them. This means that the business network of SMEs had been diversified via the facilitation of “BCD” provided as UIC program.

Local SMEs have difficulties in enhancing their competitiveness in the market both in terms of internal resources and networks with external organizations. Thus, universities need to promote university–industry collaboration programs to enable SMEs to strengthen their competitiveness by building networks in local business ecosystems.

This study throws new highlights on the facilitator role of a university as a network promoter, in addition to the partner as a technology provider, in the regional business ecosystem.

Rapid advancements in blockchain technology transform various sectors, attracting the attention of industrialists, practitioners, policymakers and academics, and profoundly affect construction businesses through smart contracts and crypto-economics. This paper explores the blockchain innovation ecosystem in construction.

Through a qualitative study of 23 diverse interviewees, the study explores how open or closed the blockchain innovation ecosystem in construction is and who its emerging orchestrators are.

The data showed that construction aims towards an open innovation blockchain ecosystem, although there are elements of hybridisation and closedness, each system pointing out to different orchestrators.

The study has implications for governments and large companies in construction, showing that open innovation initiatives need to be encouraged by policymakers through rules, regulations and government-sponsored demonstrator projects.

The data showed that there is lack of readiness for business model change to support open innovation blockchain ecosystems in construction.

This is the first study applying the open innovation theory in the construction industry and sheds light into the phenomenon of blockchain, suggesting routes for further democratisation of the technology for policymakers and practitioners.

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.

This study aims to examine the impact of Covid19 on service ecosystem self-adjustment (SES_SA) and additionally to explore the mediating role of SES_SA on the relationship between the Covid19 pandemic and the development of digital service capability (DD_SC).

Data were drawn from 384 business people with the help of a survey questionnaire. The interrelation of the model was examined with the help of structural equation modeling (SEM) using bootstrapping measures in Smart-partial least square (PLS). Three constructs (Covid19, DD_SC and SES_SA) were found with the help of exploratory factor analysis (EFA). Convergent and discriminant validity were obtained through confirmatory factor analysis (CFA) using statistical package for the social sciences-analysis of a moment structures (SPSS-AMOS)-V.23.

There is a substantial impact of Covid19 on SES_SA and DD_SC. The investigation also discovered that SES_SA significantly impact DD_SC, whereas, Covid19 impact DD_SC indirectly through SES_SA. Age has a significant favorable influence on fear of Covid19.

There is scant literature linking SES_SA and the DD_SC.

The study promotes understanding of the contribution of Covid19 and SES_SA in the DD_SC among business people to enhance value co-creation. Capitalizing on DD_SC will enhance customer experience, assist customers in decision-making, and foster digital economic growth.

It enlightens on the digital capabilities needed for creating and co-creating value. Most studies in this area are qualitative/conceptually based and have not studied this kind of interrelation. Hence, it’s the only quantitative study that has examined the inter-relations among Covid19, SES_SA and DD_SC using SEM. This study also offers comprehension of all theories used in this context by relating Covid19 effects to DD_SC.