山东省城市创新空间关联网络演变特征及影响因素分析

基于2014～2017年山东省17个地级市创新联系能力,借助修正引力模型构建城市创新联系能力空间关联的有向加权矩阵,运用社会网络分析法及QAP回归方法探讨城市创新联系能力空间网络结构特征及空间传导关系的形成机制。结果表明：①山东省城市创新联系能力空间关联网络的网络密度加大,网络整体连通性增加,内陆中部、东部沿海地区城市处于网络的中心位置,易与其他城市发生空间关联,起到城市之间产生空间关联的“桥梁”作用。②内陆地区的“多三角型”与沿海地区的“倒T型”强关联网络得以扩展,边缘城市依赖于核心城市发展,形成具有较强关联的稳健性复杂创新网络。③地理距离、人力资本水平差异、政策支持力度差异、企业信息化水平差异对山东省创新联系能力空间关联网络结构的影响方向及回归结果较为稳健。     

石油工业创新技术科技查新结论编写研究

依据专业领域,创新能力,创新发展、技术成熟度,创新方式,创新程度,应用效果对查新结论进行分类分析,为石油工业合理配置科技资源、梳理重大技术研发方向、提升自主技术创新能力、创建国际一流企业提供重要支撑。科技查新结论编写研究具有广阔的应用前景。     

物联网嵌入我国制造业企业——是否依然保持“微笑”?

基于“微笑曲线”理论将企业创新划分为研发、生产、营销和服务四个阶段,应用DEA方法根据20家嵌入物联网技术的制造业企业2013-2017年间的创新投入、产出数据,对其整体及各阶段的创新效率进行了测评,得出以下结论：①从整体来看,各阶段的创新效率水平不再呈现“微笑曲线”分布,服务阶段的创新效率水平最好,且稳定;②从时间上看,企业整体综合创新效率变化不明显,但研发、营销和服务阶段的综合创新效率水平总体呈上升趋势;③物联网嵌入会在一定程度上提升企业的纯技术效率,但受规模效率的影响会使企业综合创新效率产生波动;④从投影分析来看,不同企业间及同一企业内部在各阶段的资源利用水平存在差异。     

Demystifying blockchain: A critical analysis of challenges,applications and opportunities

The blockchain is considered to be the potential driver of the digital economy. The Blockchain technology outweighs the challenges associated with the traditional transaction business governed and regulated by the third trusted party. There is a growth in the interest among the researchers, the industry, and the academia to study and leverage the potential of Blockchain. Blockchain provides a decentralized and distributed public ledger for all the participating parties. Though it seems that blockchain is a viable choice and solution for all the centralized governed and regulated transactions (in digital online space), it has potential challenges that need to be resolved; opportunities to be explored, and applications to be studied. This paper utilizes a systematic literature review to study several research endeavors made in the domain of blockchain. To further research on blockchain adoption, the paper theoretically constructs an integrated framework of the blockchain innovation adoption process in an organization considering organizational and user acceptance perspectives. This would facilitate its widespread adoption, thereby achieving sustained leadership solutions. The paper offers 23 propositions to information systems (IS)/information management (IM) scholars with respect to innovation characteristics, organizational characteristics, environmental characteristics, and user acceptance characteristics. Further, the paper explores several areas of future research and directions that can provide deep insights for overcoming challenges and for the adoption of blockchain technology.     

Influence of organization learning on innovation output in manufacturing firms in Kenya

Knowledge entrepreneurship is increasingly becoming important in driving innovation for high levels of competitiveness. The purpose of this study was to investigate the relationship between Organization Learning (OL) and Innovation Output (IO) for improved performance in manufacturing firms in Kenya. The theoretical underpinnings on this study are the Schumpeter’s (1934) innovation theory of and the Gleick (1987) complexity theory. The methodology used was mixed method research because it provides a more holistic understanding of a thematic area. The research design that was used is cross-sectional design because it allows for making observations on different characteristics that exist within a group at a particular time. The target population was manufacturing firms across the country. Multi-stage sampling strategy was used to sample 303 respondents from 101 firms. Primary and secondary data were used to collect both qualitative and quantitative data. The questionnaire, interview schedule and a checklist of key informants were used to collect data. Content validity was used to ascertain the credibility of the research procedure and internal consistency technique was used to test for reliability. Correlation and linear regression were used to determine the relationship between OL and IO. Work disruptions were avoided by making prior arrangements and appointments. The findings indicate that OL has a significant influence on IO. It is recommended that lifelong learning, management support and risk tolerance should be encouraged to improve creativity. High creativity is important in raising the capacity to integrate internal and external knowledge for greater levels of IO. Further research should be carried out to find how customers and suppliers information can be utilized to enriched OL.     

网络环境下高校图书馆的全面创新研究

本文从高校图书馆管理创新、技术创新、人力资源创新和信息服务创新等几个方面阐述了图书馆要生存、要发展,应积极迎接挑战,不断地改革和创新,最大限度地满足读者对信息的利用需求,为学校的教学、科研提供最优质的保证.参考文献7.     

大学与区域创新体系建设的协同路径探析

大学作为人类知识创新和传播的主要载体,为经济社会发展和文明进步提供了催化剂和动力源。我国明确推动若干区域率先建设国际科技创新中心,为新时期一流大学建设赋予了重要使命和机遇。本文梳理了国内外大学与区域创新互动的理论发展和案例,总结了相关模式和经验,关注了大学与区域创新体系如何实现系统性协同的具体路径。通过剖析上海交通大学服务上海建设具有全球影响力的科技创新中心城市的实践案例,从战略路径匹配、组织机构重构、基础原创策源、产学研开放融合、创新创业生态等方面,阐述了大学在对接提升全球科技创新中心城市过程中协同路径的选择与思考、设计与实施、特色与成效。研究结论可以为我国新时期区域创新和一流大学建设融合发展提供参考,并对政府和大学提出了相关政策性建议。     

数据资源如何重塑数字创新生态系统多主体竞合关系？——基于智能驾驶数字创新生态系统的解构与重组

作为数字创新生态系统全新的生产要素,数据资源全面参与并影响主体竞合行为与过程。如何建立多主体间竞合关系以促进数据资源流通、提升数据资源价值,已成为数字创新生态系统高效运行的关键问题。基于数字创新生态系统下数据资源对竞合关系的解构与重组作用,依据“多主体特征—竞合维度—关系分类—竞合关系重塑策略”理论逻辑,本文构建了数字创新生态系统下多主体竞合关系分析框架,根据改进的Logistic模型和Lotka-Volterra模型,以三主体智能驾驶数字创新生态系统为背景,建立数字创新生态系统无竞合关系重塑策略和有竞合关系重塑策略下数据资源收益演化模型,以检验其对数据资源收益演化的理论逻辑。研究结果表明：当合作式主体、嵌入式主体均维持与主导式主体之间的友好型竞合关系时,协同型竞合关系能有效促进合作式主体与嵌入式主体的数据资源收益产出;当主导式主体采用激励共享型竞合关系重塑策略时,各主体易形成互惠型竞合共生状态,数字创新生态系统数据资源的综合效益实现最优。研究结论拓展了数据资源在数字创新生态系统领域的应用情境,为主体制订竞合战略、消除资源隔阂、开拓价值空地提供了新思路。     

产业创新系统模型的构建与分析

产业创新系统研究是继技术创新理论和国家创新系统理论之后创新管理领域兴起的新兴前沿领域。本文在综合研究国内外产业创新管理优秀成果的基础上,构建了产业创新系统模型,对其结构、功能和运行机制进行了分析。     

复杂系统视角下我国汽车产业技术创新网络演进研究

技术创新的复杂化使得创新生态网络逐步成为汽车产业技术创新的新兴主体形态,我国汽车产业技术创新的历史复杂性使得研究其发展演化过程更加具有现实意义。以复杂系统为视角构建汽车产业技术创新网络,系统地研究我国汽车产业技术创新网络的外部形态和内部构成,揭示我国汽车产业创新4种主要形态的运行机制,展示车企主导型、产业链主导型、产学研联盟主导型和创新生态系统主导型4种类型技术创新网络的演化过程,以期为我国汽车产业技术创新网络发展提供理论支撑。