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.

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.

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.

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.

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.

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.

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.

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。

制造企业衍生工业互联网平台创新生态驱动价值创造路径研究——基于fsQCA的组态分析

工业互联网作为数字经济与实体经济深度融合的关键路径,能够推动我国制造业实现高质量发展。区别于单一视角实证检验工业互联网平台成长影响因素的研究,本文基于整体观视角从创新主体、创新环境、创新资源三个层面构建制造企业衍生平台创新生态价值创造的分析框架,以35家制造企业衍生平台为案例样本,采用模糊集定性比较分析方法探究六个前因条件对衍生平台创新生态价值创造的影响。研究发现:(1)单个前因条件不构成引致高价值创造的必要条件;(2)存在四条产生高价值创造的组态,可归为企业主导型(H1)、政府-企业推动型(H2)和政府-市场-企业联合驱动型(H3a、H3b);(3)在一定条件下,实现高价值创造的平台创新生态系统要素组合之间具有替代关系。

数字经济时代农产品营销创新:逻辑、模式与路径

农产品营销创新对于促进农产品产业链扩容提质、发挥联农带农社会效益、推动我国农业农村现代化进程尤为重要。基于创新生态系统理论厘清农产品营销创新的理论逻辑,对创新实践具有重要意义。将创新资源、创新主体、创新技术、创新网络和创新环境等要素相应地演绎为数字资源、数字主体、数字技术、数字社群和数字场景,发现数字经济时代农产品营销创新依托数字资源、数字主体、数字技术、数字社群和数字场景五要素的有机融合、均衡协同和情境共享实现了系统整体最优。以数字资源整合、数字主体联动、数字技术应用、数字社群交互及数字场景共享为依托可以实现农产品全品类营销、全渠道营销、智能化营销、全媒体营销及沉浸式营销五种农产品营销创新模式。因此,可以通过数字资源延伸、数字主体协同、数字技术驱动、数字社群互融和数字场景构建,明确数字经济时代农产品营销创新路径,助力农产品营销拓展产品组合、培育多元主体、构筑信息生态、推进社会商务和深挖文化底蕴。

企业创新生态系统协同演化机制:理论框架与未来研究

协同演化是企业创新生态系统的核心本质,是推动创新持续发展的系统力量。现有企业创新生态系统协同演化研究基本停留在现象分析层面,对其背后的协同演化机制挖掘不足。通过检索国内外高质量期刊文献,梳理不同学科领域的相关研究主题,如创新生态系统及其协同演化内涵和特征、创新生态系统构建与演化过程,以及多主体协同演化机制,在此基础上提出企业创新生态系统协同演化机制研究框架,指明未来研究方向、方法、路径和关键情境。研究结果可为揭示企业创新生态系统协同演化机制提供多学科交叉理论基础,有助于创新生态系统研究向纵深发展。

企业如何通过数字化转型实现颠覆性创新?——基于潍柴集团的案例研究

数字经济时代促使企业进入数字化转型过程中,企业数字化转型离不开数字技术的发展与数字产物的嵌入,在二者的催化下多端颠覆性创新成为企业转型新常态,而数字化转型如何赋能制造业企业颠覆性创新形成数字化颠覆性创新以把握数字时代契机,打造企业新型竞争优势是可拓展的研究问题。本文以潍柴集团为例,依托于颠覆性创新理论,通过程序化扎根理论分析对象,对制造业企业实现数字化颠覆性创新的过程机制以及形成路径进行探究。研究发现,企业进行数字化颠覆性创新要经历驱动、转型以及多元三个阶段。驱动阶段,企业受内外驱动因素影响,启动数字化颠覆性创新;转型阶段,企业以生产模式转变与组织结构演化为行动路径,通过对企业内外的数字化实现企业的数字化颠覆性创新;多元阶段,通过实现商业生态系统的数字化颠覆性创新进行创新外延,形成数字商业生态系统模式,完成颠覆性创新转型。

创新生态系统不确定性条件下后发企业何以实现颠覆性创新——基于SOR模型的动态能力中介作用

创新生态系统被视为培养颠覆性创新的沃土,其日益增加的不确定性为后发企业提供了实现颠覆性创新的机会窗口。将动态能力细分为认知性动态能力与非认知性动态能力两个维度,利用SOR模型构建“条件刺激—能力构建—颠覆行为”的理论框架,试图打开创新生态系统不确定性条件下后发企业实现颠覆性创新的“黑箱”。基于创新生态系统中376份后发企业的样本数据,研究发现:①创新生态系统不确定性不仅对颠覆性创新有显著正向影响,而且对认知性动态能力和非认知性动态能力也有显著正向影响;②认知性动态能力与非认知性动态能力对颠覆性创新有显著正向影响,并且分别在创新生态系统不确定性与颠覆性创新关系中起部分中介作用;③创新生态系统开放度能够正向调节创新生态系统不确定性与认知性动态能力关系。研究有助于指导面对不确定性的后发企业实现“弯道超车”,并且为创新生态系统突破创新迟滞困境提供新思路。

京津冀与珠三角协同创新比较分析

围绕着以“研发—中介—应用”为核心群落的创新生态系统,依次构建了京津冀和珠三角城市群协同创新网络,比较分析了京津冀和珠三角城市群在协同创新方面的特征与差异,结果显示:除中介群落外,京津冀创新群落并不具有规模优势;京津冀和珠三角均呈现创新核心城市和腹地城市的地位差距明显缩小、创新关联程度明显加强、腹地城市创新外向活跃度明显上升的趋势;但珠三角协同创新水平领先于京津冀。通过与珠三角的对比,总结了京津冀协同创新中存在的短板与问题,并从创新人才管理体制创新、推行新型科研模式、培育科技成果转化公共服务平台、构建承载先进制造业集群的园区共同体、探索建设产业创新合作“双向飞地”等方面提出了政策建议。

数字赋能教学创新:基本特征、内在机理与实现路径

以人工智能、大数据和云计算为代表的数字技术为数字赋能课堂教学创新带来新的机遇,以数字时代人才培养需求变革为导向,结合高职课堂教学数智化发展,探讨数字赋能课堂教学创新的基本特征、内在机理和实现路径。分析数字赋能课堂教学的可视化、数据化、数智化、个性化、交互化和协同化特征,从数字信息化时代发展、产业经济数字化升级和职业教育自身需求三个维度探讨数字赋能课堂教学创新的内在机理。最后,提出从教学资源建设、教学模式创新、评价反馈机制和教学生态体系构建等四个方面实现数字赋能课堂教学创新的实践路径。

二战后美国联邦政府对科技创新生态系统的优化策略

自19世纪80年代以来,美国在科技创新领域一直处在世界领先地位,良好的科技创新生态系统是缔造美国科技优势地位的最关键因素。无论是面对复杂的国内经济形势还是激烈的国际竞争,美国总是能通过联邦政府的政策调整、立法改革为本国科技创新创造良好的政策环境和制度环境。不断优化的科技创新生态系统使得美国将危机变为转机,牢牢抓住科技革命的机遇,在二战后长期保持世界科技领域的领先地位。