Research on Partner Selection in Enterprise Innovation Ecosystem

In the face of fierce market competition,enterprises must ensure the competitiveness of their products or services through technological innovation.However,the complexity of technology often surpasses the capabilities of individual enterprises,leading them to deepen cooperation with other organizations.The entities within the enterprise innovation ecosystem depend on each other,collaborate closely,and rely on core enterprises to integrate resources,thereby creating system value and enhancing competitiveness.The purpose of this paper is to explore the process of selecting appropriate ecosystem partners.It begins by providing an overview of relevant concepts,characteristics,selection factors,and methods.Subsequently,it analyzes the roles,resources,and synergy evolution of the entities within the ecosystem.An evaluation system encompassing operation,core,synergy,and development capability is then established.This system comprises 16 indicators,including organization scale and reputation,and is accompanied by a hierarchical evaluation model.Finally,the validity of the evaluation system is confirmed through empirical analysis,utilizing the Analytic Hierarchy Process(AHP)and the fuzzy comprehensive evaluation method.

Based on the Emerging E-commerce Ecosystem Synergy and Innovation Mechanism Investigation

E-commerce is a new business model based on Internet information technology,and its internal operation mechanism can be studied in depth from the perspective of the knowledge ecosystem according to the law of knowledge ecology.The various knowledge elements in the e-business knowledge ecosystem interact and influence each other,continue to exchange materials and energy according to specific rules,and develop and circulate autonomously so that users can acquire,transfer,share and sublimate knowledge in the business system.Finally,knowledge innovation and new value creation are realized to complete the final value sublimation.Based on this,this paper elaborates on three aspects of e-business ecosystem system synergy theory,e-business ecosystem,and e-business ecosystem synergy and innovation model for the reference of relevant personnel.

Keyword Co-occurrence Analysis of Research on Innovation Ecosystem Studies

The aim of the paper is to identify and explore leading thematic areas within the research field related to innovation ecosystem.Based on data from the Web of Science database,the keywords frequency and its co-occurrence frequency pair were analyzed,and the theory of mapping knowledge domains was used to visualize the keywords co-occurrence network in innovation ecosystem to make further research of the heated issues.The findings indicate that the research scope involved in innovation ecosystem research is broad,and research content focus on micro and macro levels.According to the results of keywords co-occurrence analysis of different stages,innovation,network,knowledge,strategy,open innovation,value creation are the most important issues to innovation ecosystem research,given their position and role in the research network.The paper generates the added value mainly from the point of view of theory development.

Research on Subject Areas of Innovation Ecosystem: A Discipline Co-occurrence Analysis

Based on data from the Web of Science database,co-occurrence analysis and network visualization technique were conducted to explore the structure and patterns of interdisciplinary collaborations in innovation ecosystem research.This study presented the descriptive statistics of disciplines involved in relative research and interdisciplinary network over time.The results suggested that the scope of disciplines involved in innovation ecosystem research is broad and the distribution is unbalanced.Management and business are the core subject area while Regional&Urban Planning,Environmental Studies,and Environmental Sciences are playing key role in research and practices.

Entrepreneurial Orientation and Innovation Ecosystems in the Industrial Sector, Central Region, Kampala, Uganda: A Review

This review explores entrepreneurial orientation and innovation ecosystems in the industrial sector of the Central Region, Kampala, Uganda, through an analysis of ten scholarly articles. The study contextualizes the research within the regional landscape and establishes a theoretical framework through a focused literature review. Key findings highlight the intersection of entrepreneurial activities and innovation dynamics, emphasizing the region’s unique contributions to the broader field. Discussions on discrepancies and unexplored territories within the articles offer insights into limitations and research gaps. The manuscript concludes by identifying future research avenues, providing a roadmap for ongoing inquiry into the entrepreneurial and innovative dimensions of the Central Region’s industrial sector. This synthesis underscores the importance of cultivating an entrepreneurial mindset and collaborative innovation strategies for sustainable industrial development in the region.

Balancing medical innovation and affordability in the new healthcare ecosystem in China:Review of pharmaceutical pricing and reimbursement policies

The China Basic Medical Insurance Program was created in 1999 with three objectives:equal accessibility,affordability,and quality.Today,it has become the biggest medical insurance program in the world,covering 95%of China's population.Since 2015,China's healthcare ecosystem has been reshaped by increasing innovation,which has in turn been driven by regulatory reform,enhancement of research and development capability,and capital market development.There has also been improved regulatory efficiency to reduce lags in launching drugs.In 2022,nearly 20%of novel active substances launched globally were from China.China has also risen to become the second biggest contributor to innovation in terms of pipelines.Using a“fast-follow”strategy,many locally developed innovative drugs can compete with products from multinational companies in their quality and pricing.However,China's pharmaceutical and biotechnology industry will continue to face challenges in pricing and reimbursement,as well as a shortened product lifecycle with rapid price erosion.The government has already accelerated the timeline for updating the drug reimbursement list and is willing to create a high-quality medical insurance program.However,some obstacles are hard to overcome,including reimbursement for advanced therapies,limited funding and an increasing burden of disease due to an aging population.This article reviews the trajectory of medical innovation in China,including the challenges.Looking forward,balancing affordability and innovation will be critical for China to continue the trajectory of growth.The article also offers some suggestions for future policy reform,including optimizing reimbursement efficiency with a focus on highquality solutions,enhancing the value assessment framework,payer repositioning from“value buyer”to“strategic buyer”,and developing alternative market access pathways for innovative drugs.

HSPM:A Better Model to Effectively Preventing Open-Source Projects from Dying

With the rapid development of Open-Source(OS),more and more software projects are maintained and developed in the form of OS.These Open-Source projects depend on and influence each other,gradually forming a huge OS project network,namely an Open-Source Software ECOsystem(OSSECO).Unfortunately,not all OS projects in the open-source ecosystem can be healthy and stable in the long term,and more projects will go from active to inactive and gradually die.In a tightly connected ecosystem,the death of one project can potentially cause the collapse of the entire ecosystem network.How can we effectively prevent such situations from happening?In this paper,we first identify the basic project characteristics that affect the survival of OS projects at both project and ecosystem levels through the proportional hazards model.Then,we utilize graph convolutional networks based on the ecosystem network to extract the ecosystem environment characteristics of OS projects.Finally,we fuse basic project characteristics and environmental project characteristics and construct a Hybrid Structured Prediction Model(HSPM)to predict the OS project survival state.The experimental results show that HSPM significantly improved compared to the traditional prediction model.Our work can substantially assist OS project managers in maintaining their projects’health.It can also provide an essential reference for developers when choosing the right open-source project for their production activities.

The Basin Water Resources Management System and Its Innovation in China

Water provides the origin of human survival and prosperity,and the basic resource for the maintenance of terrestrial eco-systems,their biodiversity,productivity and ecological services.With China’s recent,rapid growth both in population and economic development,the water shortage has become one of the most constraints on its ecological restoration and socio-economic development,especially in the arid inland regions of northwest China.At first glance,this water shortage in China appears to be a resource crisis.But second,an in-depth analysis reveals that the water shortage crisis arises mainly resulting from the poor water management system and operating mechanism that cannot facilitate fair allocation and efficient utilization of water resources both regionally and nationally and thus is viewed as a crisis of water manage-ment.The solution of China’s water shortage and low-efficient utilization problem will,in particular,require a fundamen-tal and substantial reform or innovation of the existing water management system and operating mechanism.In this paper,we address explicitly the problems existed in the current water management system,explore the basic theory of water re-sources management and provide some insights into the way how to establish a river basin based integrated water re-sources management system in China.

Visualizing the Intellectual Structure in Innovation System Studies: A Journal Cocitation Analysis

A journal co-citation analysis of top cited journals in the innovation ecosystem discipline was conducted over three periods spanning the years of 2002 to 2019.Relevant data retrieved from the Web of Science database were analyzed according to the highly cited journals.The results of current study show that innovation ecosystem is muti-disciplinary with broad relations with other fields.Management,marketing,technology and innovation,information management,economy,entrepreneurship and sociology play an important role in innovation ecosystem field,given their position and role in the research network.The paper generates the added value mainly from the point of view of theory development.

Critical Factors in Promoting Sustainable Innovation in Bahrain

Despite many initiatives to help foster innovation over the last decade,Bahrain has yet to realise its full potential,indicated by low levels of published research,patent registrations,and entrepreneurial activities.The COVID-19 pandemic highlighted the importance of sustainable innovation for economic recovery.This study aimed to identify the critical factors needed to stimulate innovation,as well as any barriers.Using a case study approach,emerging findings from an online survey of participants from a range of private and government organizations were explored through in-depth interviews with selected"innovation influencers".It was found that the economic and cultural environments in Bahrain favor a conservative approach to innovation,with the opening of new market opportunities with existing products the most reported form applied.The need for a sustainable economic recovery post-pandemic has raised awareness of the importance of innovation in all its forms.The environmental factors influencing innovation are charted in an ecosystem model,with effective leadership and a national strategy identified as key components.The Innovation Ecosystem derived from this case study of Bahrain has wider applicability as a benchmarking framework.By mapping the local context against framework elements,identified gaps can usefully inform a sustainable innovation strategy at both a national and organizational level.

Generational Dynamics of Innovation Adoption in Chinese Consumer Markets: A Comprehensive Analysis

This extensive and comprehensive study delves into the intricate dynamics of generational responses to innovative marketing strategies within the dynamic landscape of the Chinese consumer market.Given China’s rapid economic growth and technological advancements,it has become imperative for businesses and marketers to grasp how different generations engage with marketing innovations.This study encompasses Baby Boomers,Generation X,Millennials,and Generation Z,each shaped by unique life experiences and societal contexts,resulting in distinct preferences and behaviors.Furthermore,the study offers a thorough analysis of how diverse generations in China interact with and respond to innovative marketing strategies,providing academic researchers and businesses operating in the rapidly evolving Chinese consumer marketing landscape with actionable insights.Understanding these generational dynamics is crucial for developing marketing strategies that resonate with diverse generational segments and harnessing the power of technology to connect with consumers across all age groups.The dynamic landscape is further enriched by the proliferation of digital technologies,social media platforms,and e-commerce ecosystems.This study scrutinizes how these generational cohorts interact with innovation in marketing,considering preferences,technological adoption patterns,cultural influences,and attitudes toward trust and privacy.Additionally,it examines generational disparities in marketing channel preferences,offering valuable insights for companies aiming to tailor their marketing strategies to effectively engage diverse generational segments in China.Importantly,this research underscores the strategic significance of understanding generational differences in marketing innovation adoption.It emphasizes that this knowledge is not solely an academic pursuit but rather a critical necessity for companies seeking to thrive in one of the most competitive consumer markets globally.By acknowledging and responding to the distinct preferences and behaviors of various generational cohorts,businesses can forge meaningful connections,optimize return on investment,and adeptly navigate the evolving consumer landscape.

Evaluating innovation ecosystem resiliency using agent-based modeling and systems dynamics

Evaluating the resilience of the innovation ecosystem to maintain its performance,in the sense of resistance to disruption and recovery after it,has recently received more attention.Several studies have been conducted to model different ecosystems and evaluate their resilience.However,modeling the innovation ecosystem from a holistic perspective and performing a quantitative assessment of its resilience have received less attention.This paper models the innovation ecosystem holistically and evaluates its resilience index using a quantitative approach through five main steps.In the first step,a case study related to the innovation ecosystem of Iran's Ministry of Energy,called the Power Innovation Ecosystem,is modeled by combining system dynamics and agent-based modeling.Upon validating the model in the second step,the disruption of the loss of experts is investigated in the third step,and all possible actions to recover each actor are analyzed.In the fourth step,the performance of the ecosystem is simulated before and after the disruption using the data gathered in the previous steps.Finally,resilience is calculated in two different ways in the fifth step.Several improvement solutions are also suggested when considering that the resilience index of the innovation ecosystem is at a medium level.This research may assist policymakers in observing the resilience level of the innovation ecosystem based on the proposed model.By applying strategic changes to this model,they can determine the effects of their policies and make the most appropriate decisions to increase the resilience of the innovation ecosystem.

Industrial Ecosystem and the Development of Strategic Emerging Industries

Based on the theories of business ecosystem and national innovation system, this paper proposes a concept of industrial ecosystem. Differ from ecologists and environmentalists who regard industrial ecosystem as the natural ecosystems in which material, energy and information circulates, this paper defines industrial ecosystem as a set of factors that are vital to the development of a certain industry and their interrelationship. The industrial ecosystem consists of three sub-systems that are innovation ecosystem, production ecosystem, and application ecosystem, and subsidiary factors that include factor supply, infrastructure, socio-cultural environment, international environment and policy system. The industrial ecosystem is characterized by interdependencies, complex interactions, self-recovery and co-evolution. The development of an industry is＇ the result of the reaction of the whole industrial ecosystem; therefore, the competition in strategic emerging industries among countries is in essence the competition in industrial ecosystems. Those countries which are able to take the lead in setting up complete industrial ecosystem will occupy advantage in developing strategic emerging industries. Cultivating and developing strategic emerging industries requires promoting the development and coordination of the whole ecosystem.

The Measurement of the Software Ecosystem’s Productivity with GitHub

Software productivity has always been one of the most critical metrics for measuring software development.However,with the open-source community(e.g.,GitHub),new software development models are emerging.The traditional productivity metrics do not provide a comprehensive measure of the new software development models.Therefore,it is necessary to build a productivity measurement model of open source software ecosystem suitable for the open-source community’s production activities.Based on the natural ecosystem,this paper proposes concepts related to the productivity of open source software ecosystems,analyses influencing factors of open source software ecosystem productivity,and constructs a measurement model using these factors.Model validation experiments show that the model is compatible with a large portion of open source software ecosystems in GitHub.This study can provide references for participants of the open-source software ecosystem to choose proper types of ecosystems.The study also provides a basis for ecosystem health assessment for researchers interested in ecosystem quality.

Using Social Networks to Support Software Ecosystems Comprehension and Evolution

The software industry has evolved to a multiple-product development created on a platform and based on a common architecture integrated to other systems. This integration happens through components and third-party developers networks in Software Ecosystems (SECOs). Since systems and software development processes present challenges beyond the technical side, SECOs have emerged as an approach to improve the Software Engineering (SE) mindset in the industry. This fact changes the software industry as it requires the management of an integrated social-based environment to support a transition from an intra-organizational to an open business model approach towards a SECO approach. In this context, social networks can be important to coordinate a collaborative and distributed environment to develop SECOs platforms. This paper analyses the impact of social networks in SECOs through an integrated framework of the SECO and social network challenges. So, a proposal for a sociotechnical-based architecture to support the SECOs lifecycle is discussed.

Investigating the components of fintech ecosystem for distributed energy investments with an integrated quantum spherical decision support system

This study aimed to evaluate the components of a fintech ecosystem for distributed energy investments.A new decision-making model was created using multiple stepwise weight assessment ratio analysis and elimination and choice translating reality techniques based on quantum spherical fuzzy sets.First,in this model,the criteria for distributed energy investment necessities were weighted.Second,we ranked the components of the fintech ecosystem for distributed energy investments.The main contribution of this study is that appropriate strategies can be presented to design effective fintech ecosystems to increase distributed energy investments,by considering an original fuzzy decision-making model.Capacity is the most critical issue with respect to distributed energy investment necessities because it has the greatest weight(0.261).Pricing is another significant factor for this condition,with a weight of 0.254.Results of the ranking of the components of the fintech ecosystem indicate that end users are of the greatest importance for the effectiveness of this system.It is necessary to develop new techniques for the energy storage process,especially with technological developments,to prevent disruptions in energy production capacity.In addition,customers’expectations should be considered for the development of effective and user-friendly financial products that are preferred by a wider audience.This would have a positive effect on fintech ecosystem performance.

新兴技术创新生态系统中主体共生演化分析

新兴技术创新生态系统中主体共生及演化是驱动新兴技术持续创新、有效释放经济社会价值的重要因素,既决定着新兴技术自身能否最终形成完整的技术体系,也决定着其能否完整展现出存在的价值意义。基于新兴技术创新生态系统中主体共生基本架构,应用创新主体间共生作用系数变化分析共生关系动态演化与达到稳定状态的基本条件,分析在新兴技术发展的不同阶段中主体共生的主要形态,进而以智能网联汽车创新生态系统为例,探讨促进新兴技术创新生态系统及其主体共生形态演化的可能要素。研究发现:新兴技术创新生态系统演化及其创新主体共生演化在进程上同频共演、在驱动因素上同源交错;在技术创新生态系统演化的不同阶段,创新主体间共生作用系数及其均衡状态值也存在动态变化;以信任机制、开放协同、平台化资源共享等方式强化创新主体间的共生依存,激发创新主体共生形态由独立共生向互利共生演化是推动新兴技术持续创新的重要力量。

创新生态系统视角下学校体育高质量发展:多维机制及实践路径

运用文献资料、逻辑分析等方法,探讨创新生态系统视角下学校体育高质量发展的价值、多维机制,并提出实践路径。价值:激发新动力,形成新合力,提升持续力。多维机制:自主创新驱动提升学校价值,协同创新驱动提升组织价值,环境创新驱动提升系统价值。实践路径:构建政策支撑新体系,凝聚发展合力;优化学校内部治理结构,提升内部治理效能;构建组织协同新模式,打造共建共享新格局;加强师资队伍建设,激发教师队伍活力。

中小企业数字化转型的路径探析

加快推动中小企业数字化转型是数字经济发展的重要基础。由于缺乏足够的技术与资源,中小企业数字化转型需依附第三方数字平台完成产品体系、组织结构、业务流程的改造,进而降低成本、提升效率。其数字化转型过程为企业层面的数字技术部分采用、行业层面的数字技术整体融合以及生态层面的数字技术共生发展。但中小企业在数字化转型过程中,还面临数字意识薄弱、转型能力不足、转型资源受限、转型数据欠缺、转型成本过高等诸多困境。中小企业要立足推动数字经济发展的战略要求,从培养动态管理能力、运用轻体量数字平台、提升组织使用信息技术的能力、获得政府外部帮扶及支持等方面创新路径,推动数字化转型。

数字化下区域创新生态系统的组织与机制演进——基于中关村科技园区的纵向案例研究

数字化如何驱动区域创新生态系统结构与机制演进?锚定该问题,构建“情景-组织-机制”框架,对中关村科技园区进行纵向案例研究。研究表明:①数字化情景以创新主体、创新资源、创新环境为触点,园区组织结构呈现“聚合化-网络化-生态化”发展态势;②数字化下园区创新生态系统的创新机制聚焦在适应、互动和共生3个维度,其中,在市场需求的适应机制上,案例样本在时间线上呈现出“被动适应-主动适应-引领适应”的变异特征;在与合作资源的互动机制上,则沿着“资源共享-知识转移-利益分配”的路径迭代;在系统主体间共生机制上,表现出“寄生共生-偏利共生-互利共生”的演进轨迹。