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Sharing resources with stakeholders is the key for keystones to govern business ecosystems successfully. However, existing research has not paid further attention to how keystones share resources under the condition of resource sufficiency and how keystones balance resource sharing with complementors when they lack resources. Therefore, this paper aims to explore how keystones govern their business ecosystems under the conditions of resource sufficiency and resource insufficiency.

This paper adopts the single case study method. First, by adopting Gioia coding to analyze the relevant data of the case sample, this paper obtains the key concepts of the business ecosystem governance process. Then, it establishes the relationship between the concepts by analyzing the governance process of the case sample.

Under the condition of resource sufficiency, keystones under the condition of resource sufficiency, should make full use of resources to incubate more complementors, and further integrate the resources of the business ecosystem, to create more value for their business ecosystems. Under the condition of resource insufficiency, keystones should break the boundaries of business ecosystems and acquire external resources, to meet the resource needs of complementors. Subsequently, keystones should redeploy idle resources according to the actual needs of complementors, to meet the changing resource needs of complementors.

This study subdivides business ecosystem governance conditions and further constructs the business ecosystem governance process model, which provides a theoretical and practical reference for business ecosystem governance.

Data economy is a recent phenomenon, raised by digital transformation and platformisation, which has enabled the concentration of data that can be used in economic purposes. However, there is a lack of clear procedures and ethical rules on how data economy ecosystems are governed. As a response to the current situation, there has been criticism and demands for the governance of data use to prevent unethical consequences that have already manifested. Thus, ethical governance of the data economy ecosystems is needed. The purpose of this paper is to introduce a new ethical governance model for data economy ecosystems. The proposed model offers a more balanced solution for the current situation where a few global large-scale enterprises dominate the data market and may use oligopolistic power over other stakeholders.

This is a conceptual article that covers theory-based discourse ethical reflection of data economy ecosystems governance. The study is based on the premise of the discourse ethics where inclusion of all stakeholders is needed for creating a transparent and ethical data economy.

This article offers self-regulation tool for data economy ecosystems by discourse ethical approach which is designed in the governance model. The model aims to balance data “markets” by offering more transparent, democratic and equal system than currently.

By offering a new ethically justified governance model, we may create a trust structure where rules are visible and all stakeholders are treated fairly.

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.

This current study seeks to examine the effect of pharmaceutical business ecosystem (BE) governance mechanisms on new product development and to ascertain how crucial firm coordination will be in these relationships.

Analysis was based on 173 firms (institutions) selected from pharmaceutical BE. Various validity and reliability checks were conducted before the presentation of the actual analysis, which was conducted using structural equation modeling in Amos (v.23).

Findings showed that both relational and contractual governance mechanisms had direct positive effects on new product development of keystone. These effects were, however, partially mediated by coordination among the pharmaceutical BE members.

The development of COVID-19 vaccines across the globe has taught us that innovation and speedy development of pharmaceutical drugs are very essential. New product development success could however be achieved through effective coordination and proper governance mechanisms.

Business ecosystem, considered a network of actors, with varying degrees of multilateral, nongeneric complementarities and nonhierarchically controlled relationship, tends to pose problems for keystones. Very limited attention has however been paid to the governance mechanisms and coordination within the BE, especially in the pharmaceutical industry, which has proved its worth in this season of COVID-19.

Business ecosystem is described as a web of loose relationships, thereby posing some challenges to coordination. In attempt to ensure coordination in business relationships, scholars have proposed relational and contractual governance mechanisms. Hence, this study aims to examine the effects of governance mechanisms on coordination in the pharmaceutical business ecosystem (BE), with the potential mediating effects of closeness and opportunistic behavior.

The study adopted quantitative approach with cross-sectional survey research design to collect data from the business ecosystem of pharmaceutical company X in Ghana. A structured questionnaire based on a five-point Likert scale was employed to collect data. Analysis was based on 173 institutions (both local and international) selected from pharmaceutical BE. Various validity and reliability checks were conducted before the presentation of the actual analysis, which was conducted using ordinary least squares (OLS) regression in Statistical Product and Service Solutions (SPSS).

The results of the study revealed that both relational and contractual governance have a direct positive effect on coordination between pharmaceutical BE members and the focal firm. The effect of contractual governance on coordination is however, partially mediated by opportunistic behavior. Finally, closeness also fully mediated the effect of relational governance on coordination.

The study builds on the governance mechanisms in exchange relationship, which was hitherto largely limited to the dyadic and triadic business network, partnerships and strategic alliances studies. The contribution to BE literature provides further understanding into transaction cost economics and relational exchange theory, which was dominantly applied in dyadic relationships ties such as partnerships, alliances and networks.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Keystones are fundamental to the effectiveness of a business ecosystem. Appropriate sharing and utilization of resources is critical and keystones need to adopt relevant governance strategies and resource-focused actions to serve the needs of different ecosystem stakeholders in both resource sufficient and insufficient conditions.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

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.

Projects are an inherent part of implementing strategies. Still, the challenge is to connect a long-term strategy for larger ecosystem development to the individual projects being undertaken. The purpose of this paper is to test the ability of seven project management office (PMO) roles to achieve strategic planning in large society development public organisations in the United Arab Emirates (UAE).

The questionnaire survey that was employed for data collected from 450 project members in 19 project-based public organisations having PMO unit had a response rate of 60 per cent. The received data analysed quantitatively by using multiple regression.

The survey data revealed that PMO enhanced the achievement of the strategic plan for better development of the business ecosystem. The analysis outputs, as expected, have indicated that 95 per cent of the targeted organisations established their own PMO for developing business ecosystem.

Despite there are PMOs hosted by private organisations, the study is limited to the PMO within the context of the government and semi-government organisations in the UAE.

These findings further utilised in developing the conceptual PMO model that would be flexible to be applied to similar project management methodology in various business settings, as well as pave the way for further scholarly investigations.

This work is both exploratory and causal study, which concentrates on investigating the effectiveness of seven proposed PMO roles (as independent variables) in carrying out the strategic plan (as the dependent variable) of the public-sector organisations in the UAE for the development of business ecosystem.

Digital entrepreneurship is of high topicality as technological developments and advances in infrastructure create various opportunities for entrepreneurs. Society’s great attention to new digital business models is opposed to very little research regarding opportunities, challenges and success factors of digital entrepreneurship. The purpose of this paper is to gather the state-of-the-art literature on digital entrepreneurship and to provide an up-to-date compilation of key topics and methods discussed in the relevant literature. Furthermore, based on findings of the systematic literature review, a research map pointing at further research opportunities for scholars working in the field will be proposed.

Utilising a systematic search and review of literature across the domain whilst following the established methodology of Tranfield et al. (2003) combined with the application of a quality threshold for journal selection, 35 articles on digital entrepreneurship could be found relevant for an evidence-informed literature review.

Based on a conceptual literature review, six streams of research that deal with digital entrepreneurship are identified and discussed: digital business models; digital entrepreneurship process; platform strategies; digital ecosystem; entrepreneurship education; and social digital entrepreneurship.

This systematic literature review identifies current research paths on digital entrepreneurship by structuring the dispersed status quo of research in the identified different areas. In addition, future research opportunities to deepen the understanding of digital entrepreneurship are highlighted and pictured in a research map.

As the main factor for sustainable development of countries, entrepreneurship is a difficult path only chosen by those who have a high level of risk-taking. On this path, entrepreneurship requires an ecosystem that welcomes this type of thinking and eliminates the barriers on the path as much as possible. This ecosystem comprises various components that attempt to pave the way in a private and public manner. The entrepreneurial ecosystem still has many latent aspects after several years. This study aims to provide a big picture of all studies published in the Web of Science database to help future researchers.

In this research, 765 scientific papers published in the database were analyzed using 3 main approaches of network analysis, co-occurrence analysis of keywords and co-citation clustering.

In the end, four major clusters were identified for articles in this field in the clustering section, including the entrepreneurial ecosystem, academic entrepreneurship, innovation ecosystem and institutional entrepreneurship.

This paper used a new approach for reviewing the entrepreneurial ecosystem and made a big picture of all previous research studies. In the end, an unsupervised machine learning approach was used to clustering the research studies and four major clusters were identified.