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The purpose of this paper is to build a symbiotic evolution model to analyze the symbiotic modes and dynamic equilibrium of mobile internet platform innovation ecosystem (MIPIE) in order to explore its evolutionary path.

From a symbiosis theory perspective, the authors studied the dynamic evolution stages and symbiotic mode of MIPIE. By adopting logistic model, the symbiotic evolution model of MIPIE is established. After calculating the steady conditions and equilibrium point of this model, numerical simulation was done with MATLAB software to illustrate the impact of symbiotic parameters on evolution path in this ecosystem.

The symbiotic evolution mode of MIPIE experienced parasitism, commensalism to asymmetric mutualism, and symmetry mutualism or independence. In given conditions, the dynamic evolution of MIPIE eventually tends to a steady equilibrium point. The evolutionary consequence of innovative subjects is not only determined by the natural growth rate, but symbiotic modes can also affect the evolutionary path. Different symbiotic modes result in different evolutionary paths.

Improved understanding of symbiosis in MIPIE could help policy makers to promote value co-creation and dynamic interests balance while facilitating the cooperation of others for successful platform ecosystem management.

The logistic model introduced here bridge theory and practice while establishing a stronger link between symbiosis theory and platform ecosystem management.

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 purpose of this paper is to: first, explain why a new model of the provision of welfare services to citizens arises from the digital society; second explore some core elements of the competition between the new model of the provision of welfare services and the classic ideal model of the professionals’ provision of welfare services; third, suggest why it is most likely that the two models of the provision of services are combined into a symbiotic co-evolution scenario; and fourth, examine why and how this symbiotic co-evolution scenario results in new participatory spaces for the main actors associated with the provision of welfare services.

The review of the literature examines how the new model for the provision of welfare services facilitated by big data challenges the traditional professional model for the provision of welfare services. The authors use the Danish case to illustrate a number of themes related to this looking at the hospital sector as an example.

The proposition is that a symbiotic co-evolution scenario will emerge. A mix of the classic ideal model and practice of the service professionals’ provision of services and the digital society’s model of the provision of services is the most likely scenario in the years to come. Furthermore, Data-driven management (DDM) as an integrated key element in a symbiotic co-evolution creates (opens up) participatory environments and spaces for the main actors and agents associated with the provision of welfare services to the citizens.

DDM’s impact on the provision of welfare services is still being realised and worked out, and more empirical research is needed before it is possible to point at the most likely scenario. However, according to the authors’ analytical framework, the institutional logics perspective, as presented in Section 2, a symbiotic co-evolution is most likely such that DDM will constitute a new logic within the provision of welfare services on the basis of which citizens as end-users could be provided with welfare services, but it is not likely that the new logic of DDM can displace the classic service professionals’ model of the provision of welfare services. Therefore, the new logic of DDM will be combined with and integrated into the existing logics within service provision, such as the Weberian bureaucracy, the Street-Level Bureaucracy, the New Public Governance and the Market. In spite of this, DDM can successfully be promoted by international management consulting firms, as a management concept which can remedy all the problems of the classic service professionals’ model of the provision of welfare services to citizens.

As a consequence of this, new relationships among professionals, data analytics, (middle) managers and citizens will be created regarding the provision of welfare services. Considering the new participatory environments and spaces and the new relationships among the classic service professionals, the data analytics, the (middle) managers and the citizens as end-users, the provision of welfare services may become an arena for negotiation of a new future model of the provision of welfare services to citizens.

The digital society has emerged from and developed further via: digitising, online information in almost real time, algorithms, data-informed decision-making processes, DDM and, ultimately, big data. The authors expect to see further digitising, more sophisticated algorithms and more big data. The authors suggest that a new model of the provision of welfare services to citizens will emerge from the development of the digital society. The authors also suggest that this new model will compete with the classic model of the provision of welfare services.

The purpose of this paper is to explore the relationship between effective knowledge management and corporate performance, to explore the dynamic symbiosis phenomenon of effective knowledge management based on organizational ecology with multinational companies (MNCs) and non-multinational companies (non-MNCs) and to explore the symbiosis strategy of knowledge management between multinational and non-multinational companies (non-MNCs) in China.

To measure effective knowledge management, this paper first uses structural equation model to measure knowledge management, based on the evolution dynamics equation in organizational ecology to measure the effectiveness of knowledge management, and studies the symbiosis of effective knowledge management between MNCs and non-MNCs based on ecological perspective.

Effective knowledge management can promote the financial performance of enterprises, but different degrees of effectiveness have different effects. In addition, the coupling and collaboration between knowledge management and corporate performance can reflect the value of effective knowledge management. The results show that effective knowledge management plays a positive moderating effect between knowledge management and corporate performance. Finally, the effective knowledge management system of MNCs (non-MNCs) has negative effect on non-MNCs (MNCs), showing the exclusive relationship between MNCs and non-MNCs in China.

The effectiveness of knowledge management is only based on the measurement of financial performance coupling. For other types of performance, it needs to be tested. The samples may not cover symbiosis relationship of effective knowledge management in other countries.

This paper provides practical and theoretical reference for confirming the symbiotic interaction and identifying the opportunities and challenges of knowledge management among different types of corporation groups.

The paper is one of the pioneering studies to explore the pattern of symbiotic evolution of effective knowledge management between MNCs and non-MNCs. From completely new perspectives, this study advances the research of knowledge management to a new and promising area.

Abundance of cultural resources is a typical feature of traditional villages. It is particularly important to explore the development path of traditional villages from the perspective of cultural resources.

Based on symbiosis theory, establish a symbiotic development mechanism of traditional village characteristic cultural elements and use grey relation analysis (GRA) to evaluate the resource advantages of different cultural attributes. This paper proposes the traditional village development model of different symbiotic units in the county. An empirical study is conducted in conjunction with the national historical and cultural city of Xunxian County, Henan, China.

The results show that (1) according to the different attributes of humanistic cultural resources, artificial cultural resources and natural cultural resources in traditional villages, different symbiotic units can be divided, and advantageous resources can be shared through the symbiotic interface; (2) using GRA to calculate the grey relational degree between cultural resources sequence of different attributes and the sum of cultural resources sequence in the county and define as the active degree of humanistic culture, the inheritance degree of artificial culture and the integrity of natural cultural resources are shown to reflect the status of the inheritance of humanistic cultural resources, the existence of artificial cultural resources, and the protection of natural cultural resources; and (3) a comparative analysis of the active degree, inheritance, and integrity of each symbiotic unit leads to the proposal of three symbiotic models of folklore vitality, characteristic space, and natural ecology, all of which are beneficial to promote the formation of a symbiotic environment.

The main innovation of this paper is to put forward the research scale of symbiosis theory in the field of urban and rural planning at the county level, delimit the symbiosis units of traditional villages at the county level, complete the quantitatively evaluate cultural resources in different symbiotic units with GRA, revealing the symbiotic development mechanism of cultural resources characteristic elements in traditional villages.

This paper aims to investigate the co-evolve relationship between informal relational governance (i.e. family involvement and personal authority) and family formal governance system in the process of growth and transformation. This co-evolve relationship is especially affected by the external institutional environment and market competition power. Thus, in the comprehensive process of deepening the reform and changing market, the modern transformation of family business means that rediscovery of unique superiority of family business and the core of this transformation is the governance of status privileges and private interests.

To test the hypotheses, this paper uses the 9th Chinese Private Enterprise Survey in 2010. A total of 4,900 questionnaires are issued, 4,614 are recovered and the total recovery rate is 94.16%. After clean the data, the study obtained 1,239 samples. To overcome the possible existence of heteroscedasticity, this study uses the feasible generalized least squares (FGLS) to estimate the model. Besides, as for dummy dependent variables, this study uses logistics regression.

This paper makes an empirical test for the evolution of family governance driven by institutional change and organizational growth willingness in the process of growth and transformation, including a co-evolve relationship between family involvement and governance institution. Meanwhile, the empirical analysis comes to the conclusion that the institutional constraint to relational governance improves firm performance, which further promotes the modern transformation of family business governance.

It is the key to transformation to the modern corporate organization that family business could beyond the intervention of the traditional nepotism, patriarchal authority and family will. The fundamental of this process is to take advantage of formal institutions to manage family power.

This paper discusses the modern transformation of the formal organization from the perspective of modern ideal dominant type proposed by Max Weber. Modern organization is a hybrid system of the non-personified and personified institution. The primary reason why modern organization suffered erosion and destruction is that informal institution (status and relationship network) were endowed with legal privileges and private interests in modern organization including family business. The governance of privileges and private interests has become the core issue that whether the family business could play an instrumental value and realize modern transformation successfully.

This study aims to explore the effect of innovation ecosystem stability (IES) on innovation performance of enterprises through the mediating role of knowledge acquisition (KA), and to study how these effects are moderated by unabsorbed slack.

This study draws on data from 327 Chinese enterprises and adopts the multiple linear regression method and bootstrapping method to explore the mediating effect of KA and its moderated mediating effect.

The results demonstrate that IES is positively associated with innovation performance of enterprises, and KA plays a partially mediating role. Moreover, unabsorbed slack negatively moderates the relationship between IES and KA as well as the mediating effect of KA.

This study investigates the relationship between IES and innovation performance, and the mechanism of influence, which has not been previously studied in the field of innovation ecosystem. This study also examines the interaction between unabsorbed slack and IES and further clarifies the mechanism and boundary conditions of the impact of IES on innovation performance.

The construction industry is widely recognized as one of the most hazardous sectors in the world. Despite extensive research on safety management, a critical issue remains that insufficient attention is devoted to safety practices in rural areas. Notably, accidents frequently occur during the construction of rural self-built houses (RSH) in China. Safety management tends to be overlooked due to the perceived simplicity of the construction process. Furthermore, it is essential to acknowledge that China currently lacks comprehensive laws and regulations governing safety management in RSH construction. This paper aims to analyze the behavior of key stakeholders (including households, workmen, rural village committee and the government) and propose recommendations to mitigate safety risks associated with RSH construction.

This paper applies evolutionary game theory to analyze the symbiotic evolution among households, workmen and rural village committee, in situations with or without government participation. Additionally, numerical simulation is utilized to examine the outcomes of various strategies implemented by the government.

Without government participation, households, workmen, and rural village committee tend to prioritize maximizing apparent benefits, often overlooking the potential safety risks. Numerical simulations reveal that while government involvement can guide these parties towards safer decisions, achieving the desired outcomes necessitates the adoption of reasonable and effective strategies. Thus, the government needs to offer targeted subsidies to these stakeholders.

Considering that during the construction phase, stakeholders are the main administrators accountable for safety management. However, there exists insufficient research examining the impact of stakeholder behavior on RSH construction safety. This study aims to analyze the behavior of stakeholders about how to reduce the safety risks in building RSH. Thus, the authors intend to contribute to knowledge in this area by establishing evolutionary game model. Firstly, this study carried out a theoretical by using tripartite evolutionary game to reveal the reasons for the high safety risk during building RSH. Practically, this research points out the important role of households, workmen and rural village committee in improving safety management in rural areas. Besides, some suggestions are proposed to the government about how to reduce construction safety risks in rural areas.

The rising complexity of business changes has increasingly highlighted the requirements to provide a comprehensive and empirical framework for the supply chain agility (SCA). A review of extant studies shows that the results are complicated and ambiguous. Moreover, this study is a meta-analytical review of previous empirical studies to identify SCA antecedents and effects of SCA on firm performance.

According to the protocol, 64 studies were chosen as the sample to survey the relationships between five clusters of SC allopoietic properties (SCAPs) (SC connectivity, symbiotic relationship (SR), cognitive openness (CO), homeostasis and collaboration) and SCA, as well as its effects on firm performance.

Among antecedents, horizontal collaboration’s effect on SCA is the strongest, and the relationship between SR-SCA and CO-SCA is less than moderate. SCA affects firm performance and its dimensions, with a stronger effect on financial performance (FP). Furthermore, the SCA study in the framework of allopoietic systems is a good starting point for future research.

Managers are advised to constantly review repetitive interactions between the company and its environment and to learn about interactions between SC and the environment. Learning from these interactions and disseminating their explicit knowledge among company members lead to a quick response to the environmental instability.

As the first meta-analysis on SCA antecedents and its effects on firm performance, this study contributes to the SCA literature and provides research directions for the future.