Product Innovation in High-tech SMEs:A Case Study of Weili Electronics Co.,Ltd

Product innovation is an important strategy for high-tech firms, especially for small and medium enterprises. This paper proposes that the technological strategies for SMEs are dynamic and during different phase, there is different innovation strategy which leads to various market performances. In particular, through the case study of Weili Electronics Co., Ltd, we fred that organizational learning abilities play a fundamental role in strategic decision. In addition, the frameworks for the determinants of technological strategies in three stages are established to illustrate the evolutionary processes of product innovation in Weili Electronics Co., Ltd.

Strategic and Organizational Evolutions of High-Tech SME on Global Market

The ＂OLI paradigm＂ of Dunning （1977） claims that firm internationalization is addressed toward the exploitation of home-based specific advantages. However, evidence shows that SMEs are increasingly internationalizing their activities in order to enrich their resource pool. In this regard, a reinterpretation of the OLI paradigm came out with a new perspective suggesting that ＂foreign direct investmenf＇ （FDI） is increasingly oriented toward asset augmentation. Correspondingly, the purpose of this theoretical paper is to suggest a set of principles that could inform on how global small and medium-sized enterprises grow in the international marketplace when investing abroad.

An Empirical Analysis of the High-tech SMEs＇ Financing Based on Eviews5.0

This paper mainly studied the Financing Strategies of SMEs. It firstly collected literal reviews, and analyzed preliminarily the selection of the financing sample variables and data variables. Secondly, combined with Eviews5.0 software, it built a High-tech SMEs＇ financing model and deeply dug the factors affecting the financing of High-tech SMEs. Finally, combined with practical experience, this paper explored the measurements of financing taken by SMEs, and analyzed new financing channels. This paper made some contribution to the development of the High-tech SMEs＇ financing.

AI-Powered Innovations in High-Tech Research and Development: From Theory to Practice

This comparative review explores the dynamic and evolving landscape of artificial intelligence(AI)-powered innovations within high-tech research and development(R&D).It delves into both theoreticalmodels and practical applications across a broad range of industries,including biotechnology,automotive,aerospace,and telecom-munications.By examining critical advancements in AI algorithms,machine learning,deep learning models,simulations,and predictive analytics,the review underscores the transformative role AI has played in advancing theoretical research and shaping cutting-edge technologies.The review integrates both qualitative and quantitative data derived from academic studies,industry reports,and real-world case studies to showcase the tangible impacts of AI on product innovation,process optimization,and strategic decision-making.Notably,it discusses the challenges of integrating AI within complex industrial systems,such as ethical concerns,technical limitations,and the need for regulatory oversight.The findings reveal a mixed landscape where AI has significantly accelerated R&D processes,reduced costs,and enabled more precise simulations and predictions,but also highlighted gaps in knowledge transfer,skills adaptation,and cross-industry standardization.By bridging the gap between AI theory and practice,the review offers insights into the effectiveness,successes,and obstacles faced by organizations as they implement AI-driven solutions.Concluding with a forward-looking perspective,the review identifies emerging trends,future challenges,and promising opportunities inAI-poweredR&D,such as the rise of autonomous systems,AI-driven drug discovery,and sustainable energy solutions.It offers a holistic understanding of how AI is shaping the future of technological innovation and provides actionable insights for researchers,engineers,and policymakers involved in high-tech Research and Development(R&D).

Evaluation of a software positioning tool to support SMEs in adoption of big data analytics

Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock control.Small and medium sized enterprises(SMEs)are the backbone of the global economy,comprising of 90%of businesses worldwide.However,only 10%SMEs have adopted big data analytics despite the competitive advantage they could achieve.Previous research has analysed the barriers to adoption and a strategic framework has been developed to help SMEs adopt big data analytics.The framework was converted into a scoring tool which has been applied to multiple case studies of SMEs in the UK.This paper documents the process of evaluating the framework based on the structured feedback from a focus group composed of experienced practitioners.The results of the evaluation are presented with a discussion on the results,and the paper concludes with recommendations to improve the scoring tool based on the proposed framework.The research demonstrates that this positioning tool is beneficial for SMEs to achieve competitive advantages by increasing the application of business intelligence and big data analytics.

Spatio-temporal evolution of the coordinated development of high-tech industry agglomeration and resource-environmental carrying capacity in the Yellow River Basin

Under the background of new infrastructure,the Yellow River Basin’s superior growth cannot be separated originating with the synergistic effect of scientific and technological inventiveness and ecological civilization construction.In light of the coupling coordination analysis of the coordination effect of provincial high-tech industry agglomeration and resource carrying capacity in the Yellow River Basin from 2009 to 2021,The evolution of the geographical and temporal pattern of development was investigated using the Moran index and kernel density estimation.The results show that the agglomeration of high-tech industries in the Yellow River Basin presents a development trend of seek improvement in stability,and there is a good coupling and coordination throughout the progression of scientific and technological innovation and the loading capacity of the resource,from the viewpoint of a time series.From the perspective of spatial pattern distribution,the whole basin aims at the lower reaches,accelerates the optimization of digital industry and promotes Yellow River Basin development of superior quality through innovation support and increase of input,and based on policy guidance.

The Application of Knowledge Management(KM)by Small and Medium-Sized Enterprises(SME)in Manufacturing Industry

To accelerate the digital transformation of small and medium-sized manufacturing enterprises(SMEs),this study delves into the primary challenges encountered in adopting knowledge management(KM)within these organizations and identifies the essential methods for successful implementation.The objective is to provide practical recommendations for the effective adoption of KM.This research suggests that enterprises should promote knowledge management through three key approaches:enhancing employees’cognitive understanding,standardizing knowledge systems,and tailoring business scenarios to meet diverse needs.These findings offer valuable insights into the digital transformation of SMEs in the manufacturing sector,ultimately helping these businesses to remain competitive and innovative in a rapidly changing market.By addressing the specific needs and challenges faced by SMEs,this study aims to contribute to a more comprehensive understanding of how knowledge management can be leveraged to drive digital transformation and improve overall business performance.

基于SMES装置的车网系统低频振荡抑制策略

近年来,我国电气化铁路发生多起因牵引网网压低频振荡导致的机车保护装置误动作事故,对铁路安全运行造成严重的威胁.现有抑制策略多从机车侧开展,通过对机车控制器参数的修订实现抑制效果,但对于铁路行业的长远发展缺乏灵活性.针对车网系统低频振荡问题,提出从牵引网侧外接超导磁储能(Superconducting Magnetic Energy Storage,SMES)的动态抑制方案.首先,分析SMES抑制车网系统低频振荡的原理,根据车网系统低频振荡的走势对其进行分类,并依据振荡类型设定SMES接入准则;其次,建立车网系统等效阻抗模型,结合阻抗比判据和伯德图分析车网系统稳定性,对SMES接入车网系统前后系统稳定性对比分析,验证所提方案的有效性,并与传统抑制方法进行对比,验证所提方案的灵活性;最后,对单车及多车升弓并网情况下的车网系统进行仿真分析.结果表明:SMES装置接入车网系统后可快速有效地抑制车网系统低频振荡.

电网不平衡下SMES变流器动态演化控制策略研究

针对超导磁储能(SMES)变流器在电网电压不平衡下的工作情况,提出一种新型非线性控制策略,即动态演化控制(DEC)。该控制方法相较于传统PI控制能有效地减小SMES因电网电压不平衡而产生的三相电流畸变以及有功、无功功率产生的二次谐波。文中根据电网不平衡下SMES变流器的工作情况设置三个工作目标;建立了基于DEC的不平衡控制方程,并在Simulink中搭建模型进行仿真分析。通过与传统PI控制作对比,DEC控制具有更强的鲁棒性,更快速的响应能力,理论分析和仿真结果验证了该控制策略的可行性和有效性。

基于MPC的SMES多目标控制

模型预测控制(model predictive control,MPC)性能优越,响应迅速而且可实现多目标控制,已受到广泛关注并逐步应用于大功率变流器,特别是在具有高功重比的超导储能磁体(superconductor magnetics energy storage,SMES)控制系统中,应用前景十分广阔。本文提出的基于MPC的SMES多目标控制,不仅实现SMES线圈在储能时较高精度的电流跟踪,同时可控制SMES线圈充放电时电流变化速率,避免较大的电流冲击,而且能够提高其响应速度与精度。通过搭建仿真实验平台验证了本文提出的SMES系统储能稳流性能、功率平衡稳定性能、动态性能以及充放电速率的控制性能。并与基于PI控制的系统进行比较,结果表明基于模型预测控制的SMES系统不仅可以实现稳态时较高精度的电流跟踪,而且可以实现充放电时电流变化速率的控制。

Impact of ICTs on Core Competences of SMEs in Bukavu, DRC

Currently, it has been noticed a strong use of ICTs in several companies. The objective of this study was to analyze and measure the impact of the implementation of ICTs on the strategy and structure of management of core competence in SMEs in Bukavu, DRC. The scale used shows the good psychometric properties (χ2 = 75.045;P = 0.16;χ2/ddl = 1.471;CFI = 0.92;IFI = 0.92;RMSEA = 0.049;NFI = 0.79;GFI = 0.94;AGFI = 0.91. This study analyzed primary data collected from 195 SMEs in the city of Bukavu. Data processing was achieved using exploratory and confirmatory factor analysis and flat sorting. The results indicate that the use of ICTs by SME managers in the city of Bukavu has a positive impact on all dimensions of core competence selected in this study. They also reveal that the views of these leaders on the importance attached to the adoption of ICTs were divided and the level of ICT use was above average.

Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices:Evidence from Guangdong-Hong Kong-Macao Greater Bay Area,China

Innovation capitalization is a new concept in innovation geography research.Extant research on a city scale has proven that innovation is an important factor affecting housing prices and verified that innovation has a capitalization effect.However,few studies investigate the spatial heterogeneity of innovation capitalization.Thus,case verification at the urban agglomeration scale is needed.Therefore,this study proposes a theoretical framework for the spatial heterogeneity of innovation capitalization at the urban agglomeration scale.Examining the Guangdong-Hong Kong-Macao Greater Bay Area(GHMGBA),China as a case study,the study investigated the spatial heterogeneity of the influence of high-tech firms,representing innovation,on housing prices.This work verified the spatial heterogeneity of innovation capitalization.The study constructed a data set influencing housing prices,comprising 11 factors in 5 categories(high-tech firms,convenience of living facilities,built environment,the natural environment,and the fundamentals of the districts)for 419 subdistricts in the GHMGBA.On the global scale,the study finds that high-tech firms have a significant and positive influence on housing prices,with the housing price increasing by 0.0156%when high-tech firm density increases by 1%.Furthermore,a semi-geographically weighted regression(SGWR)analysis shows that the influence of high-tech firms on housing prices has spatial heterogeneity.The areas where high-tech firms have a significant and positive influence on housing prices are mainly in the GuangzhouFoshan metropolitan area,western Shenzhen-Dongguan,north-central Zhongshan-Nansha district,and Guangzhou—all areas with densely distributed high-tech firms.These results confirm the spatial heterogeneity of innovation capitalization and the need for further discussion of its scale and spatial limitations.The study offers implications for relevant GHMGBA administrative authorities for spatially differentiated development strategies and housing policies that consider the role of innovation in successful urban development.

The Impact of the Establishment of National High-tech Zones on Total Factor Productivity of Chinese Enterprises

The National High-tech Zone(NHTZs)is an important strategic platform for cultivating high-tech industries and realizing high-quality economic development in China.Based on the combined data from 2006 to 2014 of the industrial enterprise database,the customs database,and the China Development Zones Audit and Announcement Catalogue(abbreviated asthe Catalogue),this paper systematically investigates the influence of the construction of NHTZs on enterprise’s total factor productivity(TFP).Results show that NHTZs have a positive impact on the TFP of enterprises in the zone,and this conclusion is still valid after considering endogeneity problems.Furthermore,the above productivity effects of NHTZs are heterogeneous in terms of enterprise ownership,external environment and establishment time,and NHTZs have greater stimulation effects on enterprise productivity after comparing with other types of functional zones.An investigation of the specific mechanisms at play shows that NHTZs promote the TFP of enterprises in the zone through the release of preferential policies,strengthening the“technology spillover effects”of imported intermediate goods,enhancing enterprise’s innovation ability and attracting talent.In addition,based on the decomposition of industry productivity,this paper also investigates the impact of NHTZs on changes in industry productivity and finds that NHTZs promote the overall productivity of specific industries mainly by stimulating the productivity improvement of incumbent enterprises and expanding the market share of high-productivity enterprises.Moreover,the preferential policies of NHTZs do not significantly stimulate high-productivity enterprises to enter the zones,nor do they cause low-productivity enterprises to exit.This research is helpful in objectively evaluating the economic effects of the NHTZs in China and in providing a theoretical basis for its further adjustment.

The Polish SMEs as Intelligent Organizations in an Era of Digital Transformation

The impact that the digital transformation(DT)has on businesses,suppliers,and other third parties has increased significantly now.Digital transformation means improving traditional manufacturing processes with the help of digital technologies.The goal of digital transformation is to increase production efficiency and reduce costs,improve the quality of goods and services produced,and quickly adapt to changes in the global market.The state of industrial production is constantly changing due to the instability of global,economic and political decisions,so the adoption and expansion of digital solutions based on Industry 4.0,the Internet of things,machine learning,and other technologies of the future is accelerating.With the help of these technologies,companies are trying to change approaches and find new ways to solve problems.In this article the author analyzed the phenomenon of a complex system of knowledge management with tools as SMAC,AI,IoT and Edge computing in intelligent organizations as a part of intelligent economy.The arguments are illustrated with the results of own research conducted by the author in 2021-2022 in selected SMEs from the Polish Wielkopolska Province and their reference to the general development trends in this area.

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。

数字普惠金融对中小企业技术创新的影响及传导路径研究

数字普惠金融对促进中小企业技术创新、推动中国经济高质量发展具有重要意义。本文基于2016—2020年新三板企业面板数据,运用固定效应模型和中介效应模型,实证检验数字普惠金融对中小企业技术创新的影响及其传导路径。研究结果表明:数字普惠金融对中小企业技术创新有显著促进作用,且该结果具有稳健性,数字普惠金融可以通过减少企业融资费用、降低信息不对称来促进中小企业技术创新;进一步分析显示,数字普惠金融数字化程度提升对中小企业技术创新促进效果更明显,数字普惠金融对中小企业技术创新的促进作用在非东部地区和“专精特新”企业中效果更明显。本文拓展了数字普惠金融对中小企业技术创新影响的传导路径研究与异质性分析,为进一步提高数字普惠金融政策实施精准度和有效性提供了重要依据。

Delivery Service Management System Using Google Maps for SMEs in Emerging Countries

This paper proposes a Delivery Service Management(DSM)system for Small and Medium Enterprises(SMEs)that own a delivery fleet of pickup trucks to manage Business-to-Business(B2B)delivery services.The proposed DSM system integrates four systems:Delivery Location Positioning(DLP),Delivery Route Planning(DRP),Arrival Time Prediction(ATP),and Communication and Data Sharing(CDS)systems.These systems are used to pinpoint the delivery locations of customers,plan the delivery route of each truck,predict arrival time(with an interval)at each delivery location,and communicate and share information among stakeholders,respectively.The DSM system deploys Google applications,a GPS tracking system,Google Map APIs,ATP algorithms(embedded in Excel Macros),Line,and Telegram as supporting tools.To improve the accuracy of the ATP system,three tech-niques are applied considering driver behaviors.The proposed DSM system has been implemented in a Thai SME.From the process perspective,the DSM system is a systematic procedure for end-to-end delivery services.It allows the interactions between planner-driver decisions and supporting tools.The supporting tools are simple,can be easily used with little training,and require low capital expenditure.The statistical analysis shows that the ATP algorithm with the three techniques provides high accuracy.Thus,the proposed DSM system is beneficial for practitioners to manage delivery services,especially for SMEs in emerging countries.

政府补贴下平台赋能中小企业数字化转型的演化策略研究

已有研究关注到政府补贴、平台赋能可以弥补中小企业数字化转型在资源和能力上的不足,但三者间的互动关系及其相应的行为策略调整还有待深入研究。理顺三者间的协同演化关系,对于推动中小企业数字化转型、促进平台持续健康发展及提升政府补贴有效性具有重要意义。基于此,本文构建中小企业、平台和政府的三方演化博弈模型,运用Matlab2016对不同因素影响下的三方协同策略进行仿真分析。结果表明,政府加大对中小企业、平台的补贴力度能够提升中小企业选择加入平台、平台选择优化服务的概率,但为了发挥市场主体作用及减轻财政负担等,随着补贴力度的增加,政府选择补贴的速率会降低;平台或中小企业的吸收能力小于临界值、平台赋能资源量大于临界值均不利于三方良性互动;平台承载中小企业的数量存在最低规模边界,低于边界值平台倾向选择一般服务;政府加大对平台的惩罚力度能够提升平台选择优化服务的概率。该研究结论有助于明晰政府补贴、平台赋能和中小企业数字化转型的内在逻辑关系,为中小企业、平台和政府的行为决策提供理论借鉴,以期促进平台赋能中小企业数字化转型。

数字普惠金融发展、资源错配抑制与中小企业景气提升

金融歧视下的资源错配,已成为中小企业健康可持续发展的掣肘。如何突破这一约束,融合“普”与“惠”的数字普惠金融被寄予厚望。本文基于数字普惠金融的内涵与中小企业健康可持续发展对金融资源的诉求进行理论分析,然后构建链式多重中介效应模型,利用江苏省13个地级市的数字普惠金融指数及中小企业发展调研数据,检验数字普惠金融发展对中小企业景气提升的作用及其机制。结果发现:数字普惠金融对中小企业景气提升具有显著的正向作用,覆盖广度、使用深度和数字化程度的提高都能促进中小企业景气指数上升。机制分析表明,数字普惠金融的发展能降低中小企业融资成本,从而提高融资匹配度,由此提升中小企业景气指数。特别地,数字普惠金融发展对中小企业景气的提升作用具有“均衡器效应”,景气状况较差的中小企业能够从中获益更多。为此,应当持续推动数字普惠金融发展,借助其抑制金融资源错配功能,破解中小微企业融资约束,提升其发展中的景气度。

数字化变革驱动中小企业高质量发展——基于布迪厄实践理论和批判实在论

基于调研多家中小企业数字化实践,通过结合布迪厄实践理论和批判实在论,构建高质量发展视角下中小企业数字化变革的概念框架。在真实域,小企业通过积累和占有经济资本、社会资本、文化资本和符号资本,以改变在数字化变革场域位置;在实际域,中小企业利用四大资本重新击穿其传统习性,实现数字化习性变迁;在经验域,实现中小企业与高质量发展相关的价值。研究发现为我国中小企业数字化变革升级从而推动中小企业高质量发展提供思路和见解参考。