浅析网络政治动员

网络政治动员对国家政治安全具有双重影响,因此,我们要畅通网络政治参与渠道,加强对网络信息的监控和管理,发挥网络政治动员的正面作用。     

少数民族大学生心理健康教育浅探

本文对少数民族大学生心理健康教育的背景和少数民族大学生常见的心理问题进行了分析,在此基础上探讨了高校开展心理健康教育的途径。     

一种基于孪生神经网络的深度异构网络嵌入算法

针对现有异构网络嵌入方法导致的捕获关系冗余和模糊的问题,提出了一种基于孪生神经网络的深度异构网络嵌入模型。首先,基于面向关系的深度嵌入(Relation-Oriented Deep Embedding,RODE)框架构建了异构网络嵌入模型,以区分同型节点和异型节点之间的关系;其次,将同型节点与异类节点之间的相似性近似到低维空间,通过构建多任务的孪生神经网络来实现节点之间结构和语义关系的深度嵌入;最后,选取四个数据集执行典型网络挖掘任务,并与其他六种算法进行实验对比分析。实验结果表明,保持相同类型节点之间的相似性有助于提高节点分类效率,且损失函数在提高异构网络嵌入质量方面具有良好的优越性;RODE模型能够有效提高稀疏网络的嵌入质量,且具有良好的稳定性和鲁棒性。     

我国境外国有资产管理体制改革思路

本文从我国境外国有资产管理的现状和特点出发,重点分析境外国有资产管理的现行体制及 缺陷,在研究境外国有资产管理规律的基础上提出建立境外国有资产管理新体制的思路。     

Can information and communication overload influence smartphone app users' social network exhaustion,privacy invasion and discontinuance intention? A cognition-affect-conation approach

Thanks to the expansion of network technologies and the coupling of smartphone hardware, younger generations have unparalleled access to a diverse range of information and interactive communication opportunities. Despite voluminous research on the causes of social network exhaustion and privacy invasion, limited academic attention has been devoted to understanding the driving forces and contributing factors for discontinuing usage of smartphone app. Drawing on the cognition-affect-conation paradigm, the present research proposes a conceptual research model to examine how information overload and communication overload effect social network exhaustion, privacy invasion, and ultimately, smartphone app users' intentions to discontinue usage. The study evaluates data from 442 smartphone app users, employing statistical analyses to demonstrate that both information overload and communication overload significantly impact users' exhaustion and privacy invasion. Additionally, social network exhaustion and privacy invasion are two major predictors of smartphone app discontinuance intention. By identifying the influential factors and causes of younger generations' discontinuous usage intention of smartphone app, this study meets the need for a thorough assessment of the social network exhaustion and privacy invasion phenomena. The findings may potentially enhance comprehension of the discontinuation intention phenomenon in the context of cognitive overload. Furthermore, they may provide novel insights for practitioners regarding effective strategies conducive to managing mobile social network adoption behavior, as well as the preservation of engagement levels among young users in mobile-saturated societies.     

E-commerce sellers' ratings: Is user feedback adequate?

The literature on the theory of public procurement points out two well-known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e-procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information-theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e-Marketplace, a business-to-business public e-commerce portal, we empirically determine the weights of the rating variables derived from the transaction-level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed-rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction-level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction-level data or user feedback is unlikely to divulge sellers' intrinsic worth. E-commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real-time basis for sellers on online platforms.     

Multinationals from emerging economies: Strategies,challenges, and the way forward

Multinationals from emerging economies are relatively new players in the global economy. This Special Issue includes five articles that cover several important aspects of the market and nonmarket strategies pursued by emerging market multinational corporations (EMNCs). Given that only a few firms from emerging markets embrace the possibilities and challenges of going global, we highlight the need to examine country, industry, and firm level antecedents of the emergence of EMNCs. We also draw attention to the need to study the role played by immigrant populations in EMNC internationalization.     

高管连锁网络与股价同步性

本文以2009—2018年中国A股上市公司为研究样本,考察了高管连锁网络对公司股价同步性的影响。研究发现：高管连锁网络会提高公司的股价同步性,处于高管连锁网络越中心位置的上市公司,其股价同步性越高;从趋同性和信息透明度两个方面进一步分析高管连锁网络对股价同步性的作用机制,发现高管连锁网络并非通过降低公司透明度这一途径对股价同步性产生影响,而是因为连锁高管加强了上市公司间的行为学习、信息和资源的共享,促使公司间基础特征趋同,进而提高了公司的股价同步性;根据联结类型的不同将高管连锁网络划分为董事网络、监事网络和高管网络,实证结果表明高管网络对股价同步性的提升效应最大,董事网络次之,监事网络对股价同步性无显著影响;区分产权性质和法治环境后发现,在国有企业和所处法治环境较差的企业中,高管连锁网络提高股价同步性的效应更显著。研究结论为提升资本市场信息效率提供了理论支撑。     

网络舆情的云计算监测模式分析与实现

针对传统网络舆情监测方式的不足,选取较为成熟的云计算架构,采用统一收集各 局域网日志,并对海量数据使用云计算技术进行存储和分析的方法,提出了一种网络舆情云 计算监测模式及其具体实现方法,并通过实验给出在设备配置、分析效率等方面有参考意义的 实验数据。