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.     

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。     

无限缓存下自相似网络通信量复用策略

研究了自相似网络通信量的统计复用策略。首先讨论了在采用FIFO(First In First Out)服务策略且缓存趋于无限大时，满足一定溢出概率要求的统计复用带宽要求，然后对这种情况进行了仿真分析。研究表明网络通信量的自相似特性对复用增益有较大的影响，并且自相似性越强、复用通信量数量越大，所取得的复用增益越大，这对于网络设计是很重要的。     

An Application of the Dynamic Network DEA Model: The Case of Banks in Taiwan

ABSTRACT

In this study, we apply the dynamic network slack-based measure data envelopment analysis model (DNSBM) to measure the efficiency of Taiwanese banks during the period 2005–11. Using the network structure, we define intellectual capital creation capability as one of the production stages. In order to capture the dynamics of the transformation process, the nonperforming loans and loan loss reserves are defined as carryover items. This study offers sufficient information for managers to understand not only the overall performance of their banks but also the efficiency of each production stage and the dynamic changes of the overall and divisional efficiencies.     

从认知视角看网络语言的生成理据性

任何语言的发展都有其理据性,都是社会发展到一定阶段的必然产物。网络语言的产生是特定时代的产物,它的生成符合年轻人的心理需求,符合语言的经济原则,符合人类思维发展的规律。     

发挥网络平台的作用积极推进政务公开

政务公开网络平台,是依托互联网实现政务公开、满足社会公众服务需求的综合性网络平台。它直接面向社会公众,具有方便快捷、覆盖面广、时效性强和贴进群众生活等特点。积极发挥网络平台的监督作用对于政府管理创新,深化行政管理体制改革,积极推进政务公开,具有十分重要的意义。政府应采取由形象展示向便民服务转变;增加沟通交流,发挥群众的积极性;建立公共信息服务与企业网站的联系体系;加强监督,建立网络平台的保障机制等措施,从而充分发挥网络平台的作用。     

A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks

The magnitude 7.0 earthquake that struck Haiti in January 2010 led to an unprecedented effort in collecting and providing geographical information in support of humanitarian aid. Although most of the compiled datasets and generated maps were able to provide specific and detailed information regarding the location of damaged buildings and road interruptions, none or little information was available to describe the accessibility—or otherwise—of the urban space. Here we try to offer an alternative method to define the urban accessibility landscape in the aftermath of earthquake damage, by combining simple graph theory concepts and GIS-based spatial analysis to assess how the urban space accessibility decreases when the road network is damaged.     

创意产业经济网络的分析与决策——基于有向节点赋权网络的测度方法

在创意产业等产业经济网络中,其决策分析需要对有向网络主体重要性进行定量测度。综合测度法给出了节点赋权网络中节点重要性的测度方法。但是没有考虑权值交易衰减的变化和路径的有向性,不适用于实际情形常见的有向网络。文章根据节点删除思想提出全面测度法,以易行有效的方法定量测度有向网络中节点的重要性。为创意产业的开发与建设提供决策支持,最后以典型创意产业为例给出其应用。     

黄浦江两岸地区公共空间可达性研究 ——基于社会网络分析的公共交通评价与 优化策略

黄浦江两岸地区正在打造世界级的滨江公共空间, 如何便捷、多样地抵达滨江公共空间是其规划设计和建设实施 的重要评价指标。将该评价指标定义为滨江公共空间可达性, 指居民利用滨江公共交通系统(常规公交)抵达滨江公共空间的 便捷性和多样性程度。利用社会网络分析方法,以虹口区和徐 汇区的滨江公共空间为例,构建了滨江公共空间可达性模型, 借助地理信息系统(ArcGIS)与计算机编程语言(Python)对现 状可达性进行量化分析评价,并提出优化滨江公共空间可达性 的算法和策略,以期更好地提升滨江公共空间可达性。