Organizational Learning （OL） and Organizational Innovation （OI）： The Case of Information and Communication Technology （ICT） Industry in Malaysia

The progression through which a person acquires ,;kills, understanding, and opinions regarding a particular organization or company is called organizational learning （OL）. In this study, the connection between organizational innovation （OI） and OL within the inf3rmation and communication technology （ICT） industry in Malaysia is surveyed. These relationships are examined, because various previous inquiries have shown that an imperative precursor to firm performance is OL. Two hundred and seventy-eight surveys were completed by small and medium organizations across Malaysia. The connections existing between the causes of OL and the causes of OI were ascertained by using structural equation modeling （SEM）. Amongst the Malaysian small- and medium-sized enterprises （SMEs） that participated in fire study, OI and OL are considerably linked.

Optimal Deep Learning Model Enabled Secure UAV Classification for Industry 4.0

Emerging technologies such as edge computing,Internet of Things(IoT),5G networks,big data,Artificial Intelligence(AI),and Unmanned Aerial Vehicles(UAVs)empower,Industry 4.0,with a progressive production methodology that shows attention to the interaction between machine and human beings.In the literature,various authors have focused on resolving security problems in UAV communication to provide safety for vital applications.The current research article presents a Circle Search Optimization with Deep Learning Enabled Secure UAV Classification(CSODL-SUAVC)model for Industry 4.0 environment.The suggested CSODL-SUAVC methodology is aimed at accomplishing two core objectives such as secure communication via image steganography and image classification.Primarily,the proposed CSODL-SUAVC method involves the following methods such as Multi-Level Discrete Wavelet Transformation(ML-DWT),CSO-related Optimal Pixel Selection(CSO-OPS),and signcryption-based encryption.The proposed model deploys the CSO-OPS technique to select the optimal pixel points in cover images.The secret images,encrypted by signcryption technique,are embedded into cover images.Besides,the image classification process includes three components namely,Super-Resolution using Convolution Neural Network(SRCNN),Adam optimizer,and softmax classifier.The integration of the CSO-OPS algorithm and Adam optimizer helps in achieving the maximum performance upon UAV communication.The proposed CSODLSUAVC model was experimentally validated using benchmark datasets and the outcomes were evaluated under distinct aspects.The simulation outcomes established the supreme better performance of the CSODL-SUAVC model over recent approaches.

Fourth Industrial Revolution:Technological Drivers,Impacts and Coping Methods

The world is marching into a new development period when the digital technology,physical technology,and biological technology have achieved an unprecedented development respectively in their own fields,and at the same time their applications are converging greatly.These are the three major technological drivers for the Fourth Industrial Revolution.This paper discusses the specific technology niches of each kind technological driver behind the Fourth Industrial Revolution,and then evaluates impacts of the Fourth Industrial Revolution on global industrial,economic,and social development.At last this paper proposes possible measures and policies for both firms and governments to cope with the changes brought by the Fourth Industrial Revolution.

Technology portfolio assessment for near-zero emission iron and steel industry in China

China aims to peak CO_(2)emissions before 2030 and to achieve carbon neutrality before 2060;hence,industrial sectors in China are keen to figure out appropriate pathways to support the national target of carbon neutrality.The objective of this study is to explore near-zero emission pathways for the steel industry of China through a detailed technology assessment.The innovative technology development has been simulated using the AIM-China/steel model,developed by including material-based technologies and optimal cost analysis.Six scenarios have been given in terms of different levels of production output,emission reduction and carbon tax.Near-zero emission and carbon tax scenarios have shown that China's steel industry can achieve near-zero emission using electric furnaces and hydrogen-based direct reduction iron technologies with policy support.Based on these technologies,minimised production costs have been calculated,revealing that the steel produced by these technologies is cost-effective.Moreover,the feedstock cost can play a key role in these technology portfolios,especially the cost of scrap,iron ore and hydrogen.In addition,the feedstock supply can have strong regional effects and can subsequently impact the allocation of steelmaking in the future.Therefore,China can achieve near-zero emissions in the steel industry,and electric furnace and hydrogen-based direct reduction iron technologies are crucial to achieving them.

COVID-19 and Learning Styles: GCET as Case Study

The COVID-19 pandemic has caused higher educational institutions around the world to close campus-based activities and move to online delivery.The aim of this paper is to present the case of Global College of Engineering and Technology(GCET)and how its practices including teaching,students/staff support,assessments,and exam policies were affected.The paper investigates the mediating role of no detriment policy impact on students’result along with the challenges faced by the higher educational institution,recommendations and suggestions.The investigation concludes that the strategies adopted for online delivery,student support,assessments and exam policies have helped students to effectively cope with the teaching and learning challenges posed by the COVID-19 pandemic without affecting their academic results.The study shows that 99%of students were able to maintain the same or better level of performance during the 1st COVID-19 semester.One percent of students had shown a slight decrease in their performance(about 1%–2%)with respect to their overall marks pre-COVID-19.The no detriment policy has succoured those 1%of the students to maintain their overall performance to what it used to be pre-COVID-19 pandemic.Finally,the paper provides the list of challenges and suggestions for smooth conduction of online education.

New Theoretical Aspects of Software Engineering for Development Applications and E-Learning

This paper presents new theoretical aspects of software engineering which oriented on product lines for building applied systems and software product families from readymade reusable components in conditions of program factories. These aspects are the new disciplines such as the theory of component programming;models variability and interoperability of system;theory for building systems and product families from components. Principles and methods of implementing these theories were realized in the instrumental and technological complex by lines of component development: assembling program factories using lines, e-learning to new theories and technologies in textbook of “Software Engineering” by the universities students.

The Role of Mathematics in STEAM Education under the“Double Reduction”Policy

This essay delves into the pivotal role of mathematics within the context of STEAM(science,technology,engineering,arts,and mathematics)education under China’s“Double Reduction”policy.Amidst a shifting global education landscape that emphasizes holistic growth,policies such as the“Double Reduction”strategy underscore the significance of well-rounded development alongside academic excellence.By advocating for a balanced approach to education,the policy resonates with the principles of STEAM education,which seeks to cultivate versatile and innovative individuals.Mathematics,acting as a unifying force,connects disparate STEAM disciplines,fostering interdisciplinary collaboration and preparing students to thrive in a rapidly evolving,technology-driven world.This essay provides an in-depth exploration of the multifaceted role of mathematics in STEAM education,drawing on specific cases and scholarly references to highlight its contributions to creativity,critical thinking,and holistic development.

美国可持续航空燃料发展对我国的启示

应用可持续航空燃料(SAF)被航空业界认为是最具潜力的碳减排措施,到2050年航空业65%的碳减排将通过使用SAF来实现。美国希望凭借领先的工艺技术、充足且丰富的原材料以及补贴政策的有效激励,成为新兴SAF市场的全球领导者。未来具有较大发展前景的SAF技术路线包括酯类和脂肪酸类加氢工艺(HEFA)、费托合成工艺(FT合成)、醇喷合成工艺(ATJ)、动力合成液体燃料工艺(PtL)。美国目前主要采用的是HEFA路线,但由于面临原料短缺问题,未来将逐渐被ATJ、FT合成等路线取代。美国每年约有10×10^(8)t的生物质能够可持续地生长或收集,其中将藻类转化为可再生燃料受到了美国极大的重视。美国针对SAF政策的特点是以鼓励性、支持性为主,主要运用财政补贴、税收减免等政策手段。中国是继美国之后的第二大航空市场,对SAF有着巨大的市场需求。我国可以借鉴美国的经验,尽早建立SAF产业联盟,重视SAF原料的创新,加大SAF炼制工艺认证和认证标准的建设力度,构建积极的产业政策和财税政策,而最重要的是加强重点技术方向的研发投入和支持力度,从而降低生产成本。

适应新发展格局的产业政策体系演变逻辑与主要趋向

构建新发展格局是中国迈入新发展阶段后重塑竞争优势的必然选择,产业政策是新发展格局下将中国塑造成为有竞争力经济体的重要工具,对内激励竞争和对外强化安全成为产业政策新目标。基于经济发展阶段视角厘清产业政策、科技创新政策、竞争政策之间的融合、协调、退出与重构等关系,统合探究各类政策在新发展格局构建中的基本逻辑。进一步提出在多元化政策目标下,中国要打出一套以竞争政策为基础、产业政策与竞争政策相互协调、选择性产业政策逐渐让位于功能性产业政策、科技政策由激励科技创新链条的后端向前端突破侧重、重大领域发挥新型举国体制优势的政策“组合拳”,并提出通过建立多层次政策协调机制、健全产业政策的全流程治理机制等举措完善新发展格局下的产业政策体系。

科技金融政策、产业结构升级与共同富裕

以科技和金融结合试点政策(简称“科技金融政策”)为准自然实验,选取2006—2022年中国270个地级及以上城市面板数据,借助双重差分模型,量化评估了科技金融政策赋能共同富裕的净效应。研究结果表明:科技金融政策显著促进了共同富裕,该结论在经过安慰剂检验、倾向得分匹配等系列稳健性检验后依旧成立;科技金融政策通过推动产业结构升级促进共同富裕;科技金融政策对共同富裕的影响具有正向空间溢出效应。研究结论有助于深入理解科技金融政策的经济效应,可为推动新时代共同富裕提供有益理论支撑和丰富经验证据。

中国低空经济发展的实践进路:依托科技自立自强助力新质生产力形成

低空经济是中国首倡的一种新兴经济模式,也是近年中国在无人机、卫星定位、5G通信和精密导航等多个领域掌握核心技术,实现高水平科技自立自强的进路呈现。受益于国家和地方政策支持以及资源投入,近两年中国低空经济得以迅速发展,产生了一系列有益的产业化探索和创新实践,然而,由于低空经济关联的技术领域较广,如何进行技术和专利分析目前还存在不少研究盲点;此外,针对低空经济发展可能带来的社会、环境、生态、健康和安全等维度的风险也缺乏足够的关注和应对措施,围绕中国低空经济发展相关的政策、制度和监管体系也亟待进一步健全和完善。为此,首先分析低空经济的内涵与外延,给出其明确定义,即以低空空域为主要物理空间,依托先进的移动通信、卫星定位和物联网等数字基础设施,以及人工智能和大数据为代表的新一代信息技术,围绕低空飞行器生产制造、低空飞行和相关配套服务等新兴产业,通过高水平科技自立自强助力新质生产力发展,从而实现价值的创造和转化,从而更好地满足人民日益增长的物质文化需要;其次,通过政府官方网站搜集梳理中国低空经济相关政策,综合相关文献信息和政策文本,并与大语言模型GPT-4进行交互的基础上,提取和完善低空经济技术(专利)检索关键词,而后利用企查查、incoPat、壹专利等数据库采集相关数据进行系统性分析,丰富和完善相关实证研究;最后,在此基础上分析提出中国低空经济发展在核心技术研发、新兴产业布局、数据隐私和安全风险管理、空域噪声和电磁污染治理,以及国家层面政策法规标准制定等方面所面临的现实挑战和潜在的治理风险,并针对其实践进路提出相应对策建议。

科技金融政策改善了城市空气污染吗?——基于“促进科技和金融结合试点”的准自然实验

创新是城市发展的第一动力,绿色是城市发展的内在要求。科技金融政策通过金融手段助力创新发展,对城市绿色发展具有重要意义。文章基于2004—2020年中国284个城市的面板数据,采用多期双重差分法评估了科技金融政策对于城市空气污染的影响。研究结论如下:(1)试点政策显著抑制了城市工业二氧化硫排放和工业烟(粉)尘排放,且随着政策不断推进,该抑制效应呈现增强态势;(2)科技和金融结合试点政策通过提高地区绿色技术创新水平和推动产业结构升级的双重路径改善城市空气污染;(3)科技金融政策对空气污染的抑制作用因城市的地理区位、人口规模、科技投入和金融发展水平的不同而存在差异。研究认为应根据不同地区禀赋条件,完善地区科技金融体系建设,强化科技金融治理,推动科技企业发展;走绿色发展道路,重视科技创新发展的同时加强对传统行业的环境友好化改造。

高质量发展形势下广东粮食生产现状、问题与对策

广东是经济强省,也是人口大省,保障粮食安全对促进社会经济高质量发展具有重要作用。通过调研、查阅资料和系统分析,发现广东粮食生产中存在以下几方面问题:人均粮食产量和粮食自给率低、粮食播种面积和单产下降、各地市发展不平衡、种粮普遍亏损和种粮主体老龄化严重。这些问题严重威胁着广东粮食安全和产业高质量发展。在社会经济高质量发展的大背景下,提出保证粮食安全和产业发展的建议:首先是全省一盘棋,制定粤粮提升战略,建立粮食产业综合管理部门,从粮食产业链发展角度,制定约束性发展目标和落实措施;其次是突出重点,补齐各地产能短板,包括口粮为先、水稻为主、稳定水稻面积、增加粮食种植面积和以平均单产低于全省平均的地级市为重点等;三是精准施策,实现“政府要粮安和农民要效益”的协调,包括“藏粮于地”提高土地利用率、“藏粮于技”科技驱动、多措并举实现大面积均衡增产、合理补贴提高种粮效益与积极性,扶持各类农业新型经营主体带动农户同步发展。

我国智能建造发展现状与趋势研究

发展智能建造是我国建筑业提升科技含量、实现高质量发展的战略选择。在辨析智能建造概念的基础上,系统梳理了国家层面智能建造政策体系以及财政、土地、税收、评优和人才等五方面的地方支持政策,总结分析了数字化设计、智能生产、智能施工、智慧运维、建筑产业互联网和智能建造装备等6大智能建造关键技术领域和典型应用场景,提出了智能建造上中下游12类核心产业的分类方法,研究了部分地方智能建造产业发展现状,剖析了国内智能建造在基础研究、产业发展模式、技术研发、政策支持等方面存在的主要问题,并研判了“提品质、降成本”将成为行业主旋律、企业将成为科技创新的主体、技术应用深度和广度将进一步扩展等智能建造未来发展趋势。

中国制造业“内卷式”恶性竞争的发生机制与破解路径

探究中国制造业“内卷式”恶性竞争的发生机制和破解路径,是推进现代化产业体系建设、提升产业链供应链韧性和安全水平过程中的一个无法回避的重要现实问题。当前,中国制造业“内卷式”恶性竞争不仅表现为产业同构和产能相对过剩,而且还包含了技术、市场、制度维度的新内涵。本文基于“技术—市场—制度”三维分析框架,研究认为中国制造业“内卷式”恶性竞争的发生机制主要表现为:在技术维度上,存在影响制造业转型升级的中等技术陷阱;在市场维度上,存在影响国内国际市场供给侧与需求侧均衡的结构性矛盾;在制度维度上,存在影响国内产业循环和科技创新的体制机制性障碍。基于此,防止中国制造业“内卷式”恶性竞争,在科技创新方面,应为跨越中等技术陷阱夯实长期物质基础、注入长期转型力量、提供长期系统支撑;在市场创新方面,应为破解供需结构性矛盾激活国内国际双循环市场潜能;在制度创新方面,应创新产业政策设计和实施方法,为促进科技创新与技术攻关建章立制。

聚焦产业科技创新 支撑区域农业高质量发展

省级农业科研院所是我国农业科技创新体系的重要组成部分,在支撑区域农业高质量发展中发挥着不可替代的作用。在新的历史时期,如何进一步明晰发展定位,持续提升服务区域社会经济发展能力是摆在省级农业科研院所面前的一个重要课题。文章以河南省农业科学院为例,系统梳理了支撑区域农业发展的成效、创新做法等,剖析了现阶段省级农业科研院所面临的主要困难,进一步提出推动省级农业科研院所可持续发展,加快构建“梯次分明、分工协作、适度竞争”的农业科技创新体系的政策建议。

住房科技产业发展推动住房改善消费的新模式及政策建议

住房产业作为国民经济支柱,近三年GDP贡献占比有所降低。住房产业当前存在居民对住房期待增值处于观望状态、居民对住房改善品质要求尚未满足两大问题。住房产业发展新模式应鼓励原地拆除快速重建、保障居民获利、提高住房品质和加强新模式的政策宣传等四个技术和政策要点。本文结合小区整体更新和单独建筑拆除重建两个案例,本文梳理了当前推动住房改善消费的解决方法和预期实施效果。最后,提出了鼓励推动新技术产业应用、建立“群众满意、企业盈利、政府可持续”的政策体系、探索“居民出资、市场参与”的发展新模式等三点建议,以期对住房改善消费发展提供指导建议。

战略性新兴产业技术创新效率及影响因素研究——基于新能源汽车产业视角

文章以2013—2022年新能源汽车产业链上的44家上市公司为研究对象,运用DEA-BCC模型和DEAMalmquist模型,分别从静态和动态视角测度其技术创新效率,并构建Tobit模型,分析影响其技术创新效率的内外部因素。研究发现:受规模效率和纯技术效率制约,新能源汽车产业技术创新效率整体偏低;研发费用加计扣除优惠对技术创新效率具有显著促进作用,所得税税收优惠和财政补贴对技术创新效率作用不理想;专利存量、企业规模、企业年龄和企业性质均对技术创新效率具有显著促进作用,研发人员、企业成长和财务杠杆对技术创新效率作用不理想。由此,提出鼓励兼并重组、强化知识产权保护、优化财税政策供给等对策建议。

新质生产力的形成路径及财政政策方向

财政政策作为我国宏观经济治理政策体系的支柱,在提高技术供给效率、优化要素资源配置、促进产业结构调整等新质生产力领域发挥着不可替代的作用,财政政策的时效、强度、工具及传导渠道关系到发展新质生产力最终成效。本文从催生新质生产力形成的技术革命性突破、生产要素创新性配置、产业深度转型升级等三个维度,凝练出“技术—要素—产业”的新质生产力的结构化生成路径。在这个理论框架下,本文深入探讨了财政政策促进“技术革命性突破、生产要素创新性配置、产业深度转型升级”的现实依据及内在驱动机制。在开展财政政策路径选择时,本文对应“技术—要素—产业”这一新质生产力结构化生成路径,识别实施激励型、限制型财政政策的领域与条件,分别提出形成新质生产力的“包容性-差异性-调节性”财政政策方向性策略。

发挥政府市场治理功能 培育和发展未来产业

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