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The 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.

Based 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.

The 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.

This 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 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.

This 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.

The 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.

This 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.

The risks associated with digital innovation increasingly challenge value co-creation among stakeholders within the innovation ecosystem. Stakeholder collaboration is helpful in preventing risk occurrence. This study intends to explore the effects of different stakeholder collaboration strategies on risk prevention performance in a digital innovation ecosystem context.

A systematic literature analysis was first conducted to identify risk factors of digital innovation based on the technology–organization–environment (TOE) framework. Then, a bidimensional network model was constructed to visualize the collaborative relationships among stakeholders and the identified risks by focusing on a digital innovation case. The social network analysis method was applied to design stakeholder collaboration strategies from the ego and global network perspectives, and a simulation approach was conducted to evaluate the effects of the strategies on risk prevention performance.

The results validate the positive effect of stakeholder collaboration on risk prevention performance and reveal the important role of network reachability in formulating collaboration strategies. The strategy of strong–strong collaboration strategy can best enhance risk prevention performance like a “Matthew effect” in the digital innovation ecosystem.

First, risk identification based on the TOE framework provides a systematic list of risk factors for future digital innovation risk management research. Second, this study designs stakeholder collaboration strategies from a network perspective to enhance the understanding of the network status of each stakeholder and the network structure of the digital innovation ecosystem. Third, the simulation results reveal the effects of different collaboration strategies on risk prevention performance.

The digitization efforts for small and medium enterprises (SMEs) as a result of advances in information technology are challenging, with one of them being the creation of digital ecosystems for SMEs. This study aims to develop a model of the relationship between SMEs’ readiness to change, agile leadership and dynamic capability to implement a digital ecosystem for SMEs in the creative industry in Semarang, Central Java, Indonesia.

A survey methodology was used in this study. Respondents in this study were creative industry SMEs in Semarang, Central Java, Indonesia. SMEs in the creative industry sector were chosen as samples as they require digital technology to manage their business development, production and distribution, customer relationships and to innovate in their businesses. In total, 250 creative SMEs, selected based on a purposive random sampling method, were included in this study. Data were analyzed using structural equation model-partial least square.

This study provides current insights and future needs for implementing digital ecosystems in SMEs in Indonesia’s creative industries. It also identifies three critical conditions for dealing with Industry 4.0: organizational readiness to change, agile leadership and dynamic capability.

In response to information technology advancements, this study proposes a new model for implementing digital ecosystems for SMEs. Furthermore, this study adds knowledge about the concept of a service-oriented technology ecosystem to help SMEs operate more efficiently. It focuses on the interaction of entities to improve the system’s utility, gain benefits and promote information exchange.

Ecosystems that support digital businesses maximize the economic value of network connections. This forces a shift toward platforms and ecosystems that are collaborative by nature by applying business models with multiple actors playing multiple roles. The purpose of this study is to show how the main concepts emerging from research on digital platform ecosystems (DPEs) could be organized in a taxonomy-based framework with different levels or dimensions of analysis. This study discusses some of the contingencies at these different levels and argues that future research needs to study DPEs across multiple levels of analysis. While this integrative framework allows the comparison, contrast and integration of various perspectives at different levels of analysis, further theorizing will be needed to advance the DPE research. The multidimensional framework proposed here involves the use of a multimethodological approach that incorporates a synergy of businesses, technological innovations and management methods to provide support for research in interrelationships across platform ecosystems (PEs) on a regular basis.

This paper proposes a new PE framework by constructing a formal taxonomy model that explains a vast group of phenomena produced by the PEs.

In addition to illustrating the PE taxonomy framework, this study also proposes a clear and precise description and structuring of the information in the ecosystem domain. The PE framework assists in identification, creation, assessment and disclosure research of platform business ecosystems.

Because of the large number of taxonomy concepts (over 200), only main taxonomy fragments are shown in the paper.

The outcomes of this research could be used for planning, oversight and control over ecosystem management and the use of ecosystem’s knowledge-related resources for research purposes.

The PE framework is original and represents an effective tool for observing PEs.

The logistics industry has undergone a tremendous transformation. This transformation is necessary to cope with the fundamental changes in customer expectations and the need for digitalization imposed by the pandemic, changes in the socioeconomic world, and innovative technology solutions. This paper aims to present digital transformation as an integrated framework for transforming the operating model and applying advanced solutions to the ecosystem of a quintile logistics (5PL) company. 5PL operators are typically an ecosystem. Loosely coupled or self-organized entities that collaborate in a symbiotic relationship represent this ecosystem. They aim to jointly develop capabilities, create innovative services or solutions, share knowledge, facilitate transactions, and leverage network synergies in a logistics environment to provide optimized or novel customer- or partner-centric solutions (Lamberjohann and Otto, 2020).

Currently, there is no single definition of an integrated logistics operations model in 5PL practice, so the qualitative method used in this paper allows for investigation from an exploratory perspective. The paper follows a qualitative research methodology, collecting and analyzing data/facts through interviews and visits to subject matter experts, industry practitioners, and academic researchers, combined with an extensive review of academic publications, industry reports, and written and media content from established organizations in the marketplace. This paper follows a qualitative research methodology, as it is an inquiry rather than a statistical study. The qualitative method allows the study of the concepts of phenomena and definitions, their characteristics, and the defining features that serve as the basis (Berg, 2007). It emphasizes generalized interpretation and deeper understanding of concepts, which would be more difficult in quantitative, statistically based research. Fact-finding was conducted in two ways: in-depth interviews with experts from academia, information and communication technology organizations, and key players in the logistics industry; and academic publications, industry reports, and written and media content from established national and international organizations in the market.

The operations model introduced considers six aspects: persons, processes, platforms, partners, protection and preservation. A virtual team approach can support the personal side of the 5PL ecosystem’s digital transformation. Managing a 5PL ecosystem should be based on collaborative planning, forecasting, and replenishment methods (Parsa et al., 2020). A digital platform can support trust among the stakeholders in the ecosystem. A blockchain solution can powerfully support the 5PL ecosystem from partner relationships’ points of view. The implementation of a cybersecurity reference model is important for protection (Bandari, 2023). Reverse logistics and an integrated approach support the preservation of the ecosystem.

While the author has experience applying the different components of the operations model presented, it would be interesting to find a 5PL that would use all the components presented in an integrated way. The operations model presented applies to any similar ecosystem with minor adaptations.

This paper addresses operations models and digital transformation challenges for optimizing 5PL operators. It provides several opportunities and considerations for 5PL operators interested in improving their management and operations to cope with the growing challenges of today’s world.

The competitiveness and long-term performance of 5PL operators depend on selecting and carefully implementing their operations models. This paper emphasizes the importance of using advanced operations models.

The operations model derives from the author’s personal experiences in research and the innovative application of these models to logistics operators (DHL, UPS, Poste Italiane and others). This paper brings together academic and industry perspectives and operations models in an integrated business digital transformation. This paper defines an original optimal operations model for a 5PL operator and can add sustainable value to organizations and society. In doing so, it outlines different solution requirements, the critical success factors and the challenges for solutions and brings logistical performance objectives when implementing a digital business transformation.

With the deep development of the new technological revolution and industrial transformation, the development, application, expansion and integration of digital technology provide opportunities for transforming the manufacturing industry from traditional manufacturing to intelligent manufacturing. However, little research currently focuses on analyzing the influencing factors of intelligent development in this field. There is a lack of research from the perspective of the digital innovation ecosystem to explore the intrinsic mechanism that drives intelligent development. Therefore, this article starts with high-end equipment manufacturing enterprises as the research subject to explore how their digital innovation ecosystem promotes the effectiveness of enterprise intelligent development, providing theoretical support and policy guidance for enterprises to achieve intelligent development at the current stage.

This article constructs a logical framework for the digital innovation ecosystem using a “three-layer core-periphery” structure, collects data using crawling for subsequent indicator measurement and assessment and uses the fuzzy set Qualitative Comparative Analysis method (fsQCA) to explore how the various components of the digital innovation ecosystem in high-end equipment manufacturing enterprises work together to promote the development of enterprise intelligently.

This article finds that the various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises, through mutual coordination, can help improve the level of enterprise intelligence. Empirical analysis shows four specific configuration implementation paths for the digital innovation ecosystem of high-end equipment manufacturing enterprises to promote intelligent development. The core conditions and their combinations that affect the intelligent development of enterprises differ in each configuration path.

Firstly, this article discusses the practical problems of intelligent transformation and development in the manufacturing industry and focuses on the intelligent development effectiveness of various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises in the context of digitalization. Secondly, this article uses crawling, text sentiment analysis and other methods to creatively collect relevant data to overcome the research dilemma of being limited to theoretical analysis due to the difficulty in obtaining data in this field. At the same time, based on the characteristics of high-end equipment manufacturing enterprises, the “three-layer core-periphery” digital innovation ecosystem framework constructed in this article helps to gain a deep understanding of the development characteristics of the industry's enterprises, provides specific indicator analysis for their intelligent development, opening the “black box” of intelligent development in the industry's enterprises and bridging the gap between theory and practice. Finally, this study uses the fsQCA research method of configuration analysis to explore the complexity of the antecedents and investigate the combined effects of multiple factors on intelligent development, providing new perspectives and rich research results for relevant literature on the intelligent development of high-end equipment manufacturing enterprises.

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.

The purpose of this paper is to investigate the dynamics of digital entrepreneurship and the role of innovation ecosystem in its shaping by applying a multilevel perspective on the phenomenon.

An exploratory in-depth analysis of an IT company in Brazil is conducted using a quasi-mixed method design and three analytical techniques: pattern-matching, data exposure and social network analysis. The study is based on qualitative data, complemented by quantitative data. The case company is investigated within its time (historical development) and spatial (entire ecosystem) dimensions, providing an integrative approach to analysis.

The results revealed significant differences in a set of supporting innovation ecosystem’s actors and relationships throughout the development of the company from lower to higher levels of digitalization. The findings are discussed within a framework that links ecosystem’s actors at different layers with different levels of business digitalization.

This research brings implications to SMEs in high-tech industries that are aiming to transform their business toward greater digitalization, and stresses the importance of strategic partners in innovation ecosystem in this process.

The novelty of this research is related to how external actors contribute to a company to adapt and create value, and how companies may exploit opportunities by configuring internal resources and external assets from strategic relationships. The study considers digital entrepreneurship in dynamics, distinguishes between different levels of digitalization and prescribes them different enablers and sets of relationships.

The role of government in the global digital transformation is to ensure that digital infrastructure is reliable and efficient enough to guarantee an entrepreneurial ecosystem for investment in innovation and startups. This paper presents a case study showing how local policies have been used to create an effective startup ecosystem in Barcelona. This paper aims to provide a detailed analysis of the key elements of the startup ecosystem, including the role of local government.

This study uses an exploratory case research approach and proposes a theoretical framework to study the Barcelona innovation ecosystem, drawing on interviews, research observations and an analysis of the literature.

By applying its conceptual framework tools, the research is able to identify the key elements making up the startup ecosystem and classify the impact of digital transformation policies into three stages: creating the ecosystem, fostering feedback within the ecosystem by encouraging the first generation of entrepreneurs to interact with the second and third and attracting foreign capital and talent to this innovation ecosystem.

The novelty of this work lies in its time frame and geographical scope, as it provides an analysis of the digital transformation policies in Barcelona’s local startup ecosystem over a 30-year period. This research offers deeper insight into the role of public policies in the startup ecosystem in Barcelona, as well as the impact of digital transformation policies on startup ecosystems in general.