Investigating the effects of stakeholder collaboration strategies on risk prevention performance in a digital innovation ecosystem

The concept of digital health innovation ecosystems is an emerging body of literature which suggests that components of digital health, innovation and digital ecosystems are important in the administration and delivery of healthcare services. The current literature indicates which components of digital health, innovation and digital ecosystems constitute a digital health innovation ecosystem, but it is less clear as to which components of digital health, innovation and digital ecosystems are relevant to the development of such an ecosystem for the Namibian context. The purpose of this paper was to identify the components of digital health, innovation and digital ecosystems relevant to the development of a digital health innovation ecosystem for the Namibian context. Therefore, the Delphi method was adopted in which 22 knowledgeable professionals from within the Namibian context were purposively selected to take part. The findings revealed essential components of digital health, innovation and digital ecosystems which are considered relevant to the development of a digital health innovation ecosystem for the Namibian context. Additionally, there are differences noted between the components of digital health, innovation and digital ecosystems essential for the Namibian context and the components of digital health, innovation and digital ecosystems identified in literature. The essential components identified will inform decision makers in the Namibian healthcare sector on the implementation of a digital health innovation ecosystem for Namibia.

Digital health innovation ecosystems describe the need to incorporate the components of digital health, innovation and digital ecosystems in administering healthcare services. Reviewing the evidence of digital health, innovation and digital ecosystems in both developed and developing countries is therefore crucial in determining the feasibility of implementing a digital health innovation ecosystem. The purpose of this paper was to present the results of a scoping review aimed at identifying the scope and range of digital health, innovation and digital ecosystems literature in developed and developing countries and propose guidelines for implementing digital health innovation ecosystems. The findings of the scoping review reveal that studies on digital health, innovation and digital ecosystems have been conducted in developed and developing countries, providing useful insights on the feasibility of implementing a digital health innovation ecosystem in both developed and developing countries. Guidelines for implementing a digital health innovation ecosystem were also proposed. The findings of the scoping review as well as the guidelines proposed in this study will inform healthcare policy makers in developed and developing countries.

Digitalization has reshaped the way of value co‐creation among innovation subjects, expanded the existing innovation ecosystem theories, and triggered the thinking about the digital innovation ecosystem. How to continuously promote value co‐creation between focal companies and non‐focal subjects within the digital innovation ecosystem to elevate the sustainable development of the system is an urgent issue to be solved. In this paper, we built a model of value co‐creation behavior evolution of focal companies and non‐focal subjects in the digital innovation ecosystem based on the complex network evolutionary game theory. The dynamic decision‐making process and critical factors of value co‐creation behavior of focal companies and non‐focal subjects were explored, and the emergence mechanism from micro‐behavior of value co‐creation to macro‐evolution was studied. The results showed that (1) increasing the variability of digital resources shared by focal companies and non‐focal subjects and the level of digital innovation benefits could promote value co‐creation in the system, but digital innovation ecosystems of different scales have various sensitivities to the variability of digital resources and the level of digital innovation benefits; (2) during the initial construction period of digital innovation ecosystems, the distribution of digital innovation benefits should be dominated by focal companies. With the expansion of the ecosystem, the focus of benefit distribution should gradually shift to non‐focal subjects. (3) In the evolution of the digital innovation ecosystem, focal companies should bear relatively more coordination costs of value co‐creation to promote the stable development of the system. (4) It is necessary to establish a punishment mechanism for opportunistic behavior, and the punishment should be gradually increased as the scale of digital innovation ecosystem expands. This study characterizes the digital innovation ecosystem with scale‐free networks in complex networks and constructs a complex network evolutionary game model to study the dynamic decision‐making process of value co‐creation behavior in the system, which makes up for the limitations of traditional evolutionary game research in which game subjects interact in a uniformly mixed manner and highlights the macroscopic phenomena emerging from the dynamic decision‐making of value co‐creation behavior of micro subjects. The research findings have important implications for the co‐creation of value by focal companies and non‐focal subjects in the digital innovation ecosystem and the sustainable development of the system.

Purpose In the era of the digital economy, the digital innovation ecosystem is an important vehicle to alleviate enterprises' resource and capability constraints and thus improve their digital innovation performance. Embedding digital innovation ecosystems for survival and development opportunities has become a new strategic choice for enterprises. However, how digital innovation ecosystem embeddedness affects the digital innovation performance of complementary enterprises has not yet been fully revealed. This study examines whether digital innovation ecosystem embeddedness affects the digital innovation performance of complementary enterprises through ambidextrous capabilities (exploration and exploitation) and the moderating role of strategic flexibility. Design/methodology/approach A field survey was conducted in China, collecting survey data from 578 complementary enterprises in advanced manufacturing industries embedded in digital innovation ecosystems. This study applies multiple regression analysis to verify the relevant hypotheses. Findings The results confirmed that (1) digital innovation ecosystem embeddedness has a significant positive effect on complementary enterprises' digital innovation performance; (2) Ambidextrous capabilities play a partial mediating role in the relationship between digital innovation ecosystem embeddedness and complementary enterprises' digital innovation performance. (3) Strategic flexibility positively moderates the effect of digital innovation ecosystem embeddedness on ambidextrous capabilities and digital innovation performance. Practical implications The findings, intended to guide enterprises that complement the digital innovation ecosystem to achieve digital innovation and performance improvement, highlight the importance of eco-embedded strategies, ambidextrous capabilities and strategic flexibility. Originality/value The finding enriches antecedent research on digital innovation performance and provides practical insights for firms to embed themselves in digital innovation ecosystems to improve performance.

Digital Health Innovation Ecosystems: From Systematic Literature Review to Conceptual Framework

Food waste significantly contributes to the overexploitation of natural resources and the hospitality sector is responsible for a considerable portion of this waste. This study analyses the effects, both individually and in combination, of hotel digital capability and innovation ecosystem coopetition on digital innovation and food waste reduction. The data were collected from 200 Brazilian hotels via a questionnaire and analysed by PLS-SEM. The results indicate that, individually, both hotel digital capability and innovation ecosystem coopetition positively affect digital innovation. Furthermore, when combined, they promote an additional effect on digital innovation. Our results also reveal that digital innovation has a negative effect on food waste reduction. We contribute to the Dynamic Capabilities Theory by empirically demonstrating that complementarity between internal and external capabilities produces synergy and helps in the co-creation of value. To be used effectively, knowledge needs to be integrated and shared; this is especially the case for complex innovations, such as digital innovation, that require high levels of skill. Therefore, managers must be aware of the different internal knowledge needs and, above all, open to establishing partnerships with different multi-agents in their ecosystem.

Based on the panel data of 30 provinces in China from 2013 to 2022, this paper constructs a measurement index system for the symbiotic level of digital innovation ecosystems from three dimensions: the symbiosis of digital innovation subjects, the digital innovation environment, and digital innovation interaction. This paper applies the entropy weight TOPSIS method, Dagum Gini coefficient decomposition, and spatial convergence analysis to empirically examine the symbiotic levels, regional disparities, and spatial convergence of China’s digital innovation ecosystem. The results are as follows: (i) At the national level, the symbiotic level of China’s digital innovation ecosystem has generally increased, creating a spatial distribution pattern that is “high in the east, flat in the middle, and low in the west”. (ii) From a regional perspective, the major disparities between regions are the primary factors contributing to the overall difference in the symbiotic level of China’s digital innovation ecosystem. (iii) From the perspective of σ convergence, regional disparities in the symbiotic level of the digital innovation ecosystem are constantly expanding, and uneven regional development is intensifying. (iv) From the perspective of absolute β convergence, regions with lower levels of symbiosis in the digital innovation ecosystem have a faster growth rate of symbiosis than regions with higher levels of symbiosis, and there is a certain spatial spillover effect. (v) From the perspective of conditional β convergence, economic structure and innovation application can accelerate the spatial convergence of China’s digital innovation ecosystem symbiosis to a certain extent.

PurposeIn the digital economy era, digital platforms are vital infrastructure for innovation subjects to perform digital innovation activities. Achieving efficient and smooth knowledge transfer between innovation subjects through digital platforms has become a novel research subject. This study aims to examine the knowledge transfer mechanism of digital platforms in the digital innovation ecosystem through modeling and simulation to offer a theoretical basis for digital innovation subjects to acquire digital value through knowledge-sharing and thus augment their competitive advantage.Design/methodology/approachThis study explores the optimal symbiotic interaction rate between different users based on the classic susceptible-infected-removed (SIR) model. Additionally, it constructs a knowledge transfer mechanism model for digital platforms in the digital innovation ecosystem by combining the theories of communication dynamics and symbiosis. Finally, Matrix Laboratory (MATLAB) software is used for the model and numerical simulation.FindingsThe results demonstrate that (1) the evolutionary path of the symbiotic model is key to digital platforms' knowledge transfer in the digital innovation ecosystem. In the symbiotic model, the knowledge transfer path of digital platforms is “independent symbiosis—biased symbiosis (user benefit)—reciprocal symbiosis,” aligning with the overall interests of the digital innovation ecosystem. (2) Digital platforms' knowledge transfer effects within the digital innovation ecosystem show significant differences. The most effective knowledge transfer model for digital platforms is reciprocal symbiosis, whereas the least effective is parochial symbiosis (platform benefit). (3) The symbiotic rate has a significant positive impact on the evolutionary dynamics of knowledge transfer on digital platforms, especially in the reciprocal symbiosis model.Originality/valueThis study's results aid digital innovators in achieving efficient knowledge transfer through digital platforms and identify how symbiotic relationships affect the knowledge transfer process across the ecosystem. Accordingly, the authors propose targeted recommendations to promote the efficiency of knowledge transfer on digital platforms.

PurposeThe purpose of this paper is to analyze the symbiotic evolution decisions of digital innovation enterprises, research institutes and the government in the digital innovation ecosystem.Design/methodology/approachBased on innovation ecosystem theory and an evolutionary game model, this study constructs a tripartite symbiotic evolution game model of digital innovation ecosystems with digital innovation enterprises, research institutes and the government as the main bodies and analyzes the influencing factors as well as the evolution paths of the different behavioral strategies of each subject through numerical simulation.FindingsThe research shows that the digital innovation ecosystem has the characteristic of self-organization, which requires the symbiotic cooperation of each subject. The government plays an active role in any stage of symbiotic evolution, and the system cannot enter symbiosis under a low level of subsidies and penalties. Only when the initial willingness to cooperate of digital innovation enterprises and scientific research institutes is at a medium or high level is the system likely to become symbiotic. While digital innovation enterprises are more sensitive to government subsidies and punishments, scientific research institutes are more sensitive to the distribution proportion of cooperation income.Originality/valueThis study includes government regulation into the research scope, expands the research mode of the digital innovation ecosystem and overcomes the difficulties of empirical research in collecting dynamic large sample data. It vividly and systematically simulates the symbiotic evolution process of the digital innovation ecosystem, which provides a theoretical and practical reference for digital innovation ecosystem governance.

In an era marked by the rapid ascension of the global digital economy, the digital innovation ecosystem has emerged as a vital conduit for businesses to pursue digital innovation endeavors and enhance their core competitiveness. This paper marries the theoretical discourse and empirical analysis of digital innovation ecosystem theory with modular theory, systematically expounding the concepts of digital innovation ecosystems and modularity, as well as elucidating the design principles of a modular digital innovation ecosystem. It delves into the characteristics and design processes of modularity and dissects the collaborative mechanisms underpinning the Apollo digital innovation ecosystem. Moreover, employing a modular perspective, it empirically scrutinizes the Apollo digital innovation ecosystem to clarify the framework constituted by modularity, the symbiotic operation among the ecosystem modules, and the collaboration within the system’s internal modules. This study embarks from the vantage point of digital innovation ecosystems and modularity to offer an in-depth explanation of the collaborative mechanisms within the Apollo digital innovation ecosystem. It not only broadens the methodological horizons for research on digital innovation ecosystem theory but also delineates, from a practical application standpoint, the modes of collaboration between the ecosystem’s modules. In the process of exploring the collaborative mechanisms of the Apollo digital innovation ecosystem, this research integrates global autonomous driving technology with the digital innovation ecosystem in a modular analysis. The innovative contribution of this paper lies in the construction of a collaborative mechanism for the Apollo digital innovation ecosystem from a modular viewpoint.

Digital technology has given the innovation subject a new way of value creation, expanded the existing innovation ecosystem theory, and triggered scholars' in-depth thinking on the digital innovation ecosystem. Based on the event system theory and taking Haier's hope platform as a vertical case study, this paper deeply explores the research mechanism of value creation of platform enterprises in the digital innovation ecosystem, and reveals the role and impact of digital innovation ability, openness, and business innovation model on the process of co-creation. The research results show that: in the open connection stage, the platform solves the problem of weakening the advantages of the platform, and improves the innovation efficiency of enterprises by continuously improving the digital innovation ability; in the interactive and iterative stage, the platform carries out open innovation, breaks through the difficulties of platform expansion, and realizes the benign expansion of the platform. In the co-creation stage, the user experience is blocked, and the platform adopts the platform community business model to connect the user relationship and improve the user experience. In the digital innovation ecosystem, platform enterprises gradually form self-organization and self-circulation value co-creation through internal self-construction and external cooperation, and form a data-driven co-creation model.

Potential Stakeholders and Perceived Benefits of a Digital Health Innovation Ecosystem for the Namibian Context

The remarkable connectivity and embeddedness of digital technologies enable innovations undertaken by a broad set of actors, often beyond organizational and industry boundaries, whose relationships mimic those of interdependent species in a natural ecosystem. These digital innovation ecosystems, if successful, can spawn countless innovations of substantial social and economic value, but are complex and prone to often surprising failure. Aiming to understand ecosystems as a new organizational form for digital innovations, I develop a theory that addresses an underexplored but important question: In a digital innovation ecosystem, how are the efforts of autonomous parties integrated into a coherent whole and what role do digital technologies play in this integration? By synthesizing ecological and information perspectives, this information ecology theory identifies several key functions that digital technologies serve in providing the information needed to support the interactions and tasks for innovation in ecosystems of varying scales. This theory contributes to digital innovation research new insights on managing part–whole relations, the role of digital technologies in innovation, and multilevel interactions in and across digital innovation ecosystems. The theory can also inspire the development of next-generation information systems for ecosystems as a new organizational form.

Government support, employee structure and organisational digital innovation: Evidence from China

CONTEXTDigital technologies nowadays play a major role in innovation within the agri-food domain. The evolution of IT systems has currently arrived at a level that involves complex systems integration and business ecosystems in which many stakeholders in different roles are involved. A new paradigm for digital innovation is needed that copes with this increased complexity. OBJECTIVEThis paper presents an empirically informed framework for analysing and designing viable, sustainable digital innovation ecosystems in the agri-food domain. METHODSThe research is based on a series of European large-scale public-private innovation projects from 2011 to 2021 with a total budget of 73 M€. They involved hundreds of stakeholders that were developing a large number of digital solutions through which a digital innovation ecosystem for agri-food was formed. In a longitudinal study, a conceptual framework was used to analyse these projects and describe how the digital innovation ecosystem has developed. Lessons learnt are translated into a number of design principles and an organizational approach to foster digital innovation ecosystems in agri-food. RESULTS AND CONCLUSIONSThe conceptual framework consists of 6 key concepts: (i) innovation strategy, (ii) innovation organization, (iii) innovation network that contains (iv) the innovation process and (v) the innovation object and finally (vi) an innovation infrastructure. Along these 6 concepts, lessons learnt and in total 21 design principles are derived from analysing the projects forming a basis for the organizational framework. At the core of this framework is a lean multi-actor approach to trials and use case development interacting with a set of multidisciplinary activities: (i) developing a common technical collaboration infrastructure, (ii) identifying value streams with user engagement, (iii) engaging the right partners and stakeholders at the right time supported by strategic project planning and dynamic management. The most important conclusion is that effective, successful and quick use of appropriate IT in agri-food requires that actors should not be analysed in isolation from both their technological and business environment. Another consequence is that a ‘minimal viable ecosystem’ only emerges after considerable time, resources and ingenuity is invested and may require outside (government) intervention. SIGNIFICANCEResults from this paper can be used both by public and private stakeholders to diagnose and improve digital innovation projects and develop viable, sustainable digital innovation ecosystems in agri-food.