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.Sma...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.展开更多
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 organizatio...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.展开更多
Technology-based SMEs have the advantages of short construction period,fast decision-making mechanism,low management cost,high innovation efficiency,etc.However,financing difficulties have always been an important iss...Technology-based SMEs have the advantages of short construction period,fast decision-making mechanism,low management cost,high innovation efficiency,etc.However,financing difficulties have always been an important issue that plagues the development of high-tech SMEs.The problem of corporate financing will not only hinder the process of technological innovation,but also reduce the efficiency of achievement transformation.This article sorts out the typical financing problems of technology-based SMEs,and proposes suggestions from strengthening corporate system construction,broadening financing channels,enhancing market financing vitality,and improving support policy systems,in order to improve the financing of technology-based SMEs.展开更多
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...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.展开更多
Different from International Phonetic Alphabet learning,phonics as an effective way of spelling and reading gets more at⁃tention in China.But it faces many problems in implementation process.This paper introduces a ca...Different from International Phonetic Alphabet learning,phonics as an effective way of spelling and reading gets more at⁃tention in China.But it faces many problems in implementation process.This paper introduces a case study of a technology-based phonics teaching and learning.This paper results from two classes in an elementary school revealed that pupils broke through the difficulties of learning phonics on technology-based learning.展开更多
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 ...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 (χ<sup>2</sup> = 75.045;P = 0.16;χ<sup>2</sup>/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.展开更多
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 hel...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.展开更多
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 syste...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.展开更多
文摘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.
文摘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.
文摘Technology-based SMEs have the advantages of short construction period,fast decision-making mechanism,low management cost,high innovation efficiency,etc.However,financing difficulties have always been an important issue that plagues the development of high-tech SMEs.The problem of corporate financing will not only hinder the process of technological innovation,but also reduce the efficiency of achievement transformation.This article sorts out the typical financing problems of technology-based SMEs,and proposes suggestions from strengthening corporate system construction,broadening financing channels,enhancing market financing vitality,and improving support policy systems,in order to improve the financing of technology-based SMEs.
文摘近年来,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.
文摘Different from International Phonetic Alphabet learning,phonics as an effective way of spelling and reading gets more at⁃tention in China.But it faces many problems in implementation process.This paper introduces a case study of a technology-based phonics teaching and learning.This paper results from two classes in an elementary school revealed that pupils broke through the difficulties of learning phonics on technology-based learning.
文摘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 (χ<sup>2</sup> = 75.045;P = 0.16;χ<sup>2</sup>/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.
文摘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.
文摘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.
