利用大数据分析技术的智能化网络故障诊断系统

随着网络技术的快速发展以及各种新网络业务的出现，网络的规模日益扩大和复杂。同时，各种网络服务对于网络可靠性的要求也逐渐提高，这就对网络的维护提出了更高的要求。在这种情况下，传统的网络维护模式逐渐不能适应现代网络发展的需求。针对现代大型网络的故障诊断问题，利用大数据分析技术，设计并完成了一套整体的智能化故障诊断系统。在此系统中，针对不同的故障类型，利用能够获取到的数据类型，针对性地设计了相关的故障诊断模块和算法。系统整体基于开源的数据处理平台构建，具备良好的可扩展性。通过实际案例数据的验证，结果表明此系统具备良好的处理实际网络故障的能力，将大数据分析技术应用于网络故障诊断领域也具备较强的可行性。     

Analyst earnings forecast precision and local advantage: evidence from American depositary receipt firms

Prior research has documented a finding that local analysts provide more accurate earnings forecasts than nonlocal analysts in many settings. However, little is known about local and nonlocal analysts’ relative earnings forecast abilities for ADR stocks. In this study, we find that the local advantage disappears for ADR stocks and that nonlocal analysts in fact outperform local ones in this case. We investigate the source of this ‘local disadvantage’ and find evidence against hypotheses based on accounting standards and exchange rates. We document that the local advantage decreases with increased investor interest in foreign firms, consistent with our nonlocal investors’ interest hypothesis.     

大数据对法院司法统计的积极功效及边界

最高人民法院于2016年应用人民法院大数据管理和服务平台以后,全国法院司法统计完全实现计算机自动采集。从发展脉络来看法院司法统计正处于智能化转型阶段,仍然存在一些问题。随着大数据及新技术的引入,司法统计“大数据”得以成为现实,包括了数据采集的全面化、统计分析的综合化、统计平台的社会化,进而提出了大数据助力司法统计精准化的具体路径,包括了提高基础数据的量与质、加强对司法统计数据的深度分析和可视化分析、推进基础设施建设。然而,二者并不具有正相关性。因此,推进司法统计大数据化需要注意有两个限度。     

大数据与监视型资本主义

本文首先介绍了监视型资本主义的概念,描述信息时代的资本是如何通过收集个人数据,无视私隐,筛选用户,在不受法律监控的情况下进行帝国式扩展的。进而,本文提出数据的附身性和数码资本错位这两个特征,用以分析技术如何在数据收集和应用上激活数据的私人财产属性,以及资本如何利用价值错位和技术优势去诱使用户参与这一资本增值的进程。数据的附身性揭示了个体如何被卷入大数据时代的生产关系,数码资本错位揭示了资本具体实现监视型资本主义的技术。这两个概念将完善监视型资本主义这一理论体系,进一步展现这个时代隐蔽的不平等状况。     

Are voters rational?

We test whether a voter's decision to cast a vote depends on its probability of affecting the election outcome. Using exogenous variation arising at population cutoffs determining council sizes in Finnish municipal elections, we show that larger council size increases both pivotal probabilities and turnout. These effects are statistically significant, fairly large and robust. Finally, we use a novel instrumental variables design to show that the jumps in the pivotal probabilities are the likely candidate for explaining the increase in turnout, rather than the other observed simultaneous jumps at the council size cutoffs. Moreover, our results indicate that turnout responds only to within-party pivotal probabilities, perhaps because they are more salient to the voters than the between-party ones.     

Corporate social responsibility in international hotel chains and its effects on local employees: Scale development and empirical testing in China

This study aims to investigate the corporate social responsibility (CSR) practices of international hotel chains operating in China and their effects on local Chinese employees. As CSR practices vary across countries and contexts, this study developed a scale of CSR metrics, which was based on CSR reports published by international hotel chains in China and a comprehensive literature review. Subsequently, the proposed model, which depicts the relationships between CSR practices and local employee work metrics, was tested with a PLS-SEM. Multiple phases of qualitative and quantitative investigations of 2451 local Chinese employees of international hotel chains allowed for validating a formative construct of CSR with four dimensions: environment protection, employee wellness, business ethics, and customer wellness. The PLS-SEM results confirmed the significant effects of CSR practices of international hotel chains in China on local Chinese employee engagement, commitment, job satisfaction, and organizational citizenship behaviors. Theoretical and practical implications are presented.     

Are firms ready to use big data analytics to create value? The role of structural and psychological readiness

In this study, we leverage Information Technology (IT) readiness literature and resource-based view (RBV) to investigate the impact of firm structural and psychological readiness on firm value creation, as mediated by big data analytics usage. The proposed research model is empirically validated using survey data from 179 senior IT managers. The findings demonstrate the importance of both structural (i.e. IT infrastructure capability, tools functionality, employee analytical capability, and bigness of data) and psychological readiness (i.e. IT proactive climate) in enhancing firm value creation through big data analytics usage. These results provide interesting theoretical and practical insights.     

Cashlessness and scalable multi-pay practices: Capturing the everyday financial transactions in local contexts

While macro-level volume growth in India's move towards cashless payment systems is captured relentlessly, most often what gets ignored is a realization that everyday financial transactional practices are socially and culturally embedded in the local contexts. This paper drawn from an anthropological ethnography explores how people use and hierarchically order different payment systems in their everyday financial transactions for products and services. It explores how aspects such as trust, economic and social values, demographic differentials and scalable multi-pay practices influence such ordering and usage of the payment systems within their everyday local contexts.     

地方政府人才引进政策促进了区域创新吗？——来自准自然实验的证据

高技能人力资本对于我国经济转型的重要性不言而喻。本文以2009—2012年间39个城市集中出台的地方人才引进政策为准自然实验,采用多期政策的双重差分法,结合机制分析和异质性分析,探究了人才政策出台前后区域创新能力的变化及其背后的机制和深层次原因,并分析政策效应在不同的地区营商环境、科教事业投入力度、知识产权保护程度下的差异。本文主要结论包括,地方人才引进政策总体上提高了当地的专利授权总量和专利价值总量;显著增加了研发投入的规模,但创新效率没有得到明显提升;在营商环境较差的地区,政策的效应侧重于提高专利数量,营商环境较好的地区则侧重于提升专利价值;在科教投入力度本身就很大的地区,政策效果较小,在科教投入弱的地区效果会更明显;在知识产权保护程度弱的地区,政策效果更多地表现为提高专利数量,保护程度强的地区,则侧重于提升专利价值。上述结论对地方政府优化人才激励政策、实施创新驱动发展战略具有一定的政策启示。     

移动网络数据中大数据处理的关键技术探索

最近几年以来,我国科技水平持续提升,计算机网络技术也逐渐在各行各业中获得了广泛运用,这也使得信息技术的深度融合发展受到一定的促进,数据规模愈发庞大,在此背景下,开始演变成大数据供不应求的状况。为此,国内陆续推出了一系列相关的管理法规与条例,同时扩大了对大数据的探究创新力度,有效提升了移动通信网络处理数据的速度,这同时促使国内移动通信网络中有关大数据的研究内容更为明晰,由此可知,针对大数据的相关研究具有一定必要性。