Research on the Digital Economy,Technological Innovation,and Transformation and Upgrading of the Manufacturing Industry in Shandong Province

Based on panel data from 16 cities in Shandong Province from 2013 to 2022,and grounded in theoretical analysis,this paper constructs a benchmark regression model,a mediating effect model,and a heterogeneity test for empirical analysis.The results show that:(1)the digital economy has a significant positive effect on promoting the transformation and upgrading of the manufacturing industry in Shandong Province;(2)the digital economy can drive the transformation and upgrading of the manufacturing industry through technological innovation;and(3)the impact of the digital economy on the transformation and upgrading of the manufacturing industry in Shandong Province is evidently heterogeneous.

Research on Talent Training System of Marine Cultural Industry Based on Collaborative Innovation of Governments,Enterprises,Colleges,Scientific Institutions and Users

This paper focuses on the coupling between talent training system of marine cultural industry and collaborative innovation of govern-ments, enterprises, colleges, scientific institutions and users. Firstly, the significance of talent training in marine cultural industry for the construction of China as a maritime power was analyzed. Secondly, the current situation of talent training in China＇s marine cultural industry and the existing problems were analyzed. Finally, how to integrate the collaborative innovation of governments, enterprises, colleges, scientific institutions and us-ers into the talent training system of marine cultural industry was explored to help talent training to break through the bottleneck and promote the vig-orous development of marine cultural industry.

Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China

As innovation and technological change have become increasingly important for the competitiveness and sustainable growth of firms,cooperative innovation is now crucial for traditional industries in the context of globalization.This paper proposes a framework for analyzing the spatial pattern of cooperative innovation for traditional industries in developing countries.Based on in-depth interviews with 35 firms in the oil equipment manufacturing industry in Dongying City,China,this study argues that different firms in the innovation pyramid have various innovation activity preferences and spatial patterns.Firms with high innovation abilities tend to cooperate with various partners that are geographically dispersed and continuously expanding,while firms with inferior abilities usually cooperate with nearby fixed partners.Due to the differences in innovation environment and actor locations,firms tend to make different choices regarding innovation types and models,which highlight the importance of personnel training and basic scientific research at the global scale and practical product research and development at the national scale.Additionally,talent flow is the most important way to realize relationships for firm innovation activity.

Current Situation and Mode of Talent Training in Marine Cultural Industry Based on Collaborative Innovation of Governments,Enterprises,Colleges,Scientific Institutions and Users

Based on the present situation of talent training in marine cultural industry,the collaborative innovation mechanism of governments,enterprises,colleges,scientific institutions and users was used to construct the mode of talent training in marine cultural industry. It is needed to give full play to the active roles of governments,enterprises,colleges,scientific institutions and users in the training of marine cultural talents,develop training mode of innovative scientific and technological talents,speed up the construction of collaborative innovation ability of marine cultural talents,and improve the efficiency of talent training.

Choice between Ways of Talent Training in Marine Cultural Industry--Based on Collaborative Innovation of Governments, Enterprises, Colleges, Scientific Institutions and Users

Based on the present situation of talent training in marine cultural industry,the collaborative innovation mode of governments,enterprises,colleges,scientific institutions and users was used to study the ways of talent training in marine cultural industry.

Study on Talent Training Mechanisms of Marine Cultural Industry Based on Collaborative Innovation of Governments,Enterprises,Colleges,Scientific Institutions and Users

Based on the review of related concepts,the current situation and problems of talent training in marine cultural industry in China were analyzed,and talent training mechanisms of marine cultural industry based on collaborative innovation of governments,enterprises,colleges,scientific institutions and users were proposed to promote the transformation,upgrading and vigorous development of marine cultural industry,accelerate the spread of marine culture with Chinese characteristics,and build China into a maritime power.

Application of Collaborative Innovation of Governments,Enterprises,Colleges,Scientific Institutions and Users in the Talent Training of Marine Cultural Industry: A Case Study of Maritime Universities

Based on the literature review of collaborative innovation of governments, enterprises, colleges, scientific institutions and users, the ap-plication situation of collaborative innovation of governments, enterprises, colleges, scientific institutions and users in the talent training of marine cultural industry in maritime universities was analyzed, and the problems existing in the talent training of marine cultural industry were explored. Finally, corresponding countermeasures and suggestions were put forward.

Technological Innovation Efficiency Evaluation of Equipment Manufacturing Industry--An Empirical Study of Shandong Province in China

Based on the statistical data of eight sub-sectors of equipment manufacturing industry in Shandong province from 2012-2016,DEA and Malmquist index were used to give the static and dynamic evaluation of technological innovation efficiency.The results show that the overall technological innovation efficiency of Shandong equipment manufacturing industry is higher due to the high pure technical efficiency and scale efficiency.As the technical regress and inefficient allocation of resources deepened,the total factor productivity of Shandong equipment manufacturing industry presents a dropped tendency.According to the innovation efficiency and its changes,different industries should adopt the specific development strategies.

Research on technology innovation capability of equipment manufacturing industry in Shanghai

Equipment manufacturing industry is an important symbol to measure the industrial strength, scientific and technological innovation ability and international competitiveness of a country or region. Firstly, this paper analyzes the development status of equipment manufacturing industry in Shanghai, and then uses DEA to analyze the efficiency of technology innovation capability of equipment manufacturing industry in Shanghai. The results show that the equipment manufacturing industry in Shanghai has stronger overall drawing ability, and besides, the technology innovation ability of the transportation equipment manufacturing industry is weak, other equipment manufacturing sub industries have relatively strong ability of technological innovation. This paper analyzes the shortcomings of the transportation equipment manufacturing industry and gives guidance and puts forward corresponding suggestions and measures.

Research on the Impact of Independent R&D and Collaborative Innovation on Economic Performance in China’s pharmaceutical Industry

Objective To study the impact of independent R&D and collaborative innovation on economic performance in the pharmaceutical industry.Methods A panel regression model was established by selecting the panel data of China’s pharmaceutical industry from 2009 to 2019.Results and Conclusion Independent R&D and collaborative innovation of the pharmaceutical industry in eastern,central and western regions of China had a positive effect on economic performance.Besides,the promotion effect of independent R&D was greater than that of collaborative innovation.The positive driving effect of economic performance is the largest among the three regions,followed by the central and western regions.The collaborative innovation has the greatest positive effect on economic performance in the central region,followed by the eastern and western regions.

A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory

Purpose： This study aims at identifying potential industry-university-research collaboration（IURC） partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.Design/methodology/approach： The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.Findings： Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitations： In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.Practical implications： Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.Originality/value： Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.

The Future of Manufacturing： A New Perspective

Many articles have been published on intelligent manufacturing, most of which focus on hardware, soft-ware, additive manufacturing, robotics, the Internet of Things, and Industry 4.0. This paper provides a dif-ferent perspective by examining relevant challenges and providing examples of some less-talked-about yet essential topics, such as hybrid systems, redefining advanced manufacturing, basic building blocks of new manufacturing, ecosystem readiness, and technology scalahility. The first major challenge is to （re-）define what the manufacturing of the future will he, if we wish to： ① raise public awareness of new manufacturing＇s economic and societal impacts, and ② garner the unequivocal support of policy- makers. The second major challenge is to recognize that manufacturing in the future will consist of sys-tems of hybrid systems of human and robotic operators; additive and suhtractive processes; metal and composite materials; and cyher and physical systems. Therefore, studying the interfaces between con- stituencies and standards becomes important and essential. The third challenge is to develop a common framework in which the technology, manufacturing business case, and ecosystem readiness can he eval- uated concurrently in order to shorten the time it takes for products to reach customers. Integral to this is having accepted measures of ＂scalahility＂ of non-information technologies. The last, hut not least, chal-lenge is to examine successful modalities of industry-academia-government collaborations through public-private partnerships. This article discusses these challenges in detail.

The exploration of the innovation mode of school enterprise cooperation in game analysis

school enterprise cooperation as a new mode of teaching. In the teaching practice has its advantages and disadvantages, how to obtain the maximum value in the pros and cons,It is the problems that enterprises and schools, both sides need to work together to solve. This article will carries on the domestic and foreign cooperation game research production analysis on the advantages and disadvantages in school enterprise cooperation and the analysis of its innovation. Emphasizing that between school and enterprises signed employment agreement, both parties together to develop personnel training plan, and the teachers, technology and other aspects to carry on the cooperation, using ＂agreement order type＂ talent culture.

A Study on Enterprise Strategy Based on Industry Innovation in Electric Generating Set Manufacture Industry

Restrictive factors of Chinese generating set equipment manufacturing industry innovation includes technical introduction restraint, system restraint, enterprise resources, ability restraint and resources disperser restraint. In the future, based on industrial innovation, generating set manufacture enterprise＇s strategic choice, strategies on industry innovation of Chinese generating set manufacturing industry are proposed. There are a lot of means can help, as well as developing many kinds of clean energies and realizing industrial reforming, extending service pattern, promoting industry innovation level, enhancing ability of enterprise＇s continuous development and accelerating industry＇s innovation.

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.

Impact of the Digital Economy on the Integration of Traditional Manufacturing Industry Chain and Innovation Chain:An Empirical Study Based on China's Provincial Experience

The traditional manufacturing industry is the backbone of China's real economy,which serves as the cornerstone for fostering high-quality economic development.This paper analyzes the operational mechanism and impact of the digital economy on the integration of traditional manufacturing industry chain and innovation chain.To achieve these goals,this paper first establishes an evaluation indicator system from three dimensions,such as the industrial base,innovation ecosystem,and economic benefits.Additionally,the paper adopts a comprehensive approach,incorporating the coupling coordination degree model,spatial econometric model,and mediating effect model.The major findings include three points.(1)The digital economy plays a pivotal role in promoting the integration of traditional manufacturing industry chain and innovation chain by addressing capital mismatches,facilitating the concentration of technology talents,and promoting financial development.The integration contributes to the optimized allocation of scientific and technological resources with innovation in the upgrading of production factors.(2)The digital economy plays a nonlinear role in promoting the integration of traditional manufacturing industry chain and innovation chain.(3)The digital economy has a positive spatial spillover effect on the integrated development of traditional manufacturing industry chainandinnovation chain.

Exploring Barriers and Opportunities in Adopting Crowdsourcing Based New Product Development in Manufacturing SMEs

Crowdsourcing is an innovative business practice of obtaining needed services, ideas, or content or even funds by soliciting contributions from a large group of people （the ＇Crowd＇）. The potential benefits of utilizing crowdsourcing in product design are well-documented, but little research exists on what are the barriers and opportunities in adopting crowdsourcing in new product development （NPD） of manufacturing SMEs. In order to answer the above questions, a Proof of Market study is carried out on crowdsourcing-based product design under an Innovate UK funded Smart project, which aims at identifying the needs, challenges and future development opportunities associated with adopting crowdsourcing strategies for NPD. The research findings from this study are reported here and can be used to guide future development of crowdsourcing-based collaborative design methods and tools and provide some practical references for industry to adopt this new and emerging collaborative design method in their business.

数字化转型、平台化变革与企业创新绩效——基于“技术—组织—创新”范式的分析

在数字经济和实体经济深度融合、全球创新竞争加剧的背景下,加快数字化转型和平台化变革,塑造多元互动和整体进化的创新生态系统,是增强制造业企业自主创新能力的重要途径。在传统技术经济范式中引入数字要素和平台理念,构建“技术—组织—创新”理论框架,分析数字化转型促进组织平台化变革进而提升企业创新绩效的作用机制。在理论分析的基础上,基于2014—2021年中国制造业上市公司的面板数据,实证检验了数字化转型、平台化变革与企业创新绩效之间的关系。研究结果表明:数字化转型对企业创新绩效的提升具有普遍的促进作用,并且对数字化水平更高和股权集中度更高的企业效果更显著;数字化转型促进了企业组织的平台化变革,基于数字平台形成创新生态系统进而增强了企业自主创新能力;数字化对企业平台化的推动作用主要通过专业化分工和企业互联互通实现,这是工业互联网平台发挥作用的两个重要维度。推动制造业企业的数字化转型和平台化变革,充分发挥数字平台的创新基础设施作用,能够提升企业创新绩效,推动制造业高质量发展。

人工智能、产品创新与制造业适应性转型

人工智能(AI)对产品开发、运营和营销等企业价值链的影响正在改变制造业转型升级的机制与路径。围绕AI如何通过影响产品创新推动制造业转型升级,本文依托相关研究成果提炼AI区别于其他数字技术的核心创新特征,剖析AI对产品创新的影响机制,并通过AI影响个体、企业、产业的跨层次分析框架,从产品创新视角提出AI影响制造业转型升级的适应性变革概念模型,探讨AI通过产品创新影响制造业适应性转型的机制与路径,形成三个主要结论:(1)新社会主体、生成性、知识积累方式突变性构成AI区别于其他数字技术的三个核心创新特征;(2)AI作为新社会主体角色介入产品企划、结构工艺等开发环节,改变或增强了人类智能的产品开发思维,拓展了产品开发的知识边界;(3)AI增强产品创新与运营过程、市场营销和销售的全价值链即时互动和调整,构建起平衡制造敏捷性与用户敏捷性冲突的自适应调节机制,推动制造业通过产业快速自适应调节涌现出自适应间断平衡的转型路径。

基于大数据技术的服装智能制造创新模式

为进一步提高服装行业的智能化水平,在对目前服装行业面临的智能制造建设任务分析的基础上,探讨大数据技术在数字经济时代助力服装行业转型升级实现智能化过程中所发挥的关键作用。通过梳理大数据技术在服装流行趋势智能预测、数字化设计、智慧工厂生产、个性化营销4个方面的现有研究,提出由大数据技术驱动的服装智能制造创新模式,探讨从预测、设计、生产到销售整个闭环的智能化制造流程,以及基于大数据技术的服装智能制造发展趋势。