时空大数据支持的土地储备智能决策体系与应用研究

研究目的:设计土地储备智能决策体系,将土地储备决策环节进行科学化、定量化和模型化,为政府合理开展土地储备提供决策依据。研究方法:遵循科学性、实用性、先进性、开放性原则,以数据为驱动,人工智能为核心,通过基于Hadoop/Spark的大数据处理技术、多源异构数据融合技术、智能决策模型集对多源时空大数据挖掘分析。研究结果:提出了土地储备智能决策体系,研究了一套面向土地储备的决策方法集,实现对现状条件的精准刻画,对土地储备规模、结构、时序等内容的科学决策;在此基础上,研发了智能决策支持平台,将数据资源共享、现状条件评估、智能决策专题等功能集成,构建土地储备智能决策"一张图",并实现平台的自我学习和更新。研究结论:应用于宁波市实例验证,该体系有效地促进了土地储备科学智慧决策,对优化土地资源配置具有参考意义。     

A fuzzy comprehensive evaluation algorithm for analyzing electronic word-of-mouth

This study evaluates tourism experiences shared through electronic word-of-mouth (eWOM) across four Chinese attractions. The objective is to develop a framework for evaluating eWOM by constructing an indicator system and implementing an analytic hierarchy process with the use of a fuzzy comprehensive evaluation algorithm. This framework is achieved by mapping more than 6000 websites related to Chinese tourism attractions and filtering over 200,000 useful reviews to measure service performance. Results indicate that ecological–biological attractions failed to make tourists feel “very satisfied” in various aspects, such as overall evaluation, infrastructure, traffic, natural environment, and social environment. Overall, the study contributes by presenting a framework that can be adopted by tourism researchers and industry practitioners to understand tourist preferences and evaluate service performance to improve service quality.     

上市公司股权结构与财务报告舞弊关系分析

经理人员对上市公司的内部控制已不能完全解释上市公司的财务报告舞弊问题,大股东控制了上市公司,通过对上市公司的利益侵占获取私人收益,财务报告舞弊是隐瞒大股东行为的手段。本文以截至到2005年受到证监会处罚的上市公司为样本,分析了股权结构与财务报告舞弊的相关性,从股权制衡与培育大股东诚信义务方面提出了治理大股东行为的建议。     

大数据时代下企业市场营销策略研究

随着线上网络平台在市场上占据着越来越多、越来越重要的地位,更多企业意识到大数据带来商机的同时,也注意到自身的发展面临的困境。本文以大数据时代为调查背景,中小企业为企业代表研究对象,探究大数据在新时代的关键性作用,以及处于大数据时代下企业的市场营销现状,通过swot分析和企业营销五大困境的分析,从产品、服务、人才、宣传、技术五个方面提出新策略,以往在大数据时代下为不同行业的中小企业提供有效借鉴。     

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。     

改革课外活动管理模式助力高校内涵式发展

深入开展大学生课外活动相关的改革,助力高校内涵式发展已成为我们面临的重要课题之一。教育工作者应应着力改革大学生课外活动管理模式,将大学生课外活动与课堂教学形成连续性的"大教学"体系,通过教学管理、学生管理等部门的合作,发掘课外活动内涵,使之成为专业、灵活的教学环节,使全体学生得到全面发展,助力高校内涵式发展。     

Click Here for a Data Scientist: Big Data,Predictive Analytics,and Theory Development in the Era of a Maker Movement Supply Chain

Predictive analytics is impacting many diverse areas, ranging from baseball and epidemiology to forecasting and customer relationship management. Manufacturers, retailers, software companies, and consultants are creatively discovering new applications of big data using predictive analytics in supply chain management and logistics. In practice, predictive analytics is generally atheoretical; however, we develop a 2 × 2 model to explain the role of predictive analytics in the theory development process. This 2 × 2 model shows that in our discipline we have traditionally taken one path to theory development, but that predictive analytics can be a salient component of a comprehensive theory development process. The model points to a number of research questions that need to be addressed by our research community. These questions are not just highly relevant to the academic community but also in urgent need of answers to help practitioners execute the right strategies with greater precision and efficiency. We also discuss how one disruptive trend, the maker movement, changes the nature of who the producers are in the supply chain, making big data even more valuable. As we engage in higher levels of dialogue we will be able to make meaningful progress addressing these vital research topics.     

Is China Living a Minsky Moment? Between the “Lender of Last Resort” and the Chinese Shadow Financial System

After Lehman Brothers bankruptcy in 2008, the Central Bank of China (PBOC) created a big 1.8 trillion dollars package to boost the Chinese economy. It was a necessary key measure not only to prop up the economy, but also to try to preserve the two-digit growth of the GDP that existed before the Great Recession. The financial instability of international financial circuits made necessary the involvement of the central bank. Ten years later, China’s debt explosion went up during the financial crisis, from six to twenty-eight trillion dollars between 2007 and 2016. In other words, it went up from 148 to 260 percent of GDP during the same period. The goal of this article is to analyze whether China is living a “Minsky moment” or not, and what its implications are for international financial markets.     

新疆与中亚五国经济贸易发展研究

中国新疆与中亚五国的对外经济贸易对于加强国际经济合作,促进边疆地区的经济和社会发展,以及推动新疆跨越式发展均有重要意义。本文对2002-2011年中国新疆与中亚五国对外贸易情况进行了实证分析,揭示新疆与中亚五国经济贸易发展中需要关注的问题:贸易发展不平衡,质量和效益不高;俄白哈关税同盟带来挑战;边境贸易占主导,加工贸易较薄弱;贸易结算方式亟待改进。对于这些问题,本文提出了相关建议,以推动新疆外贸发展。     

Are property rights enough?Re‐evaluating a big‐bang claim1

We investigate the claim made by proponents of the big‐bang strategy that the establishment of property rights in an economy in transition creates its own demand for the enforcement of laws to protect those rights. Our model contains a government engaging in activities to accomplish objectives that depend on public support for the enforcement of the rule of law and agents who interpret the level of activities of the government as indications of the government's intent to enforce the rule of law. Agents, using the level of government activities as an input to their decisions, choose whether to support the government's objectives. We establish conditions under which the level of activities chosen by the government maximizes its benefits, and simultaneously induces the constituency to support enforcement of the rule of law. These conditions provide a basis for the argument for the implementation of the big‐bang policy. When these conditions do not hold, however, we show that the level of activities that maximizes the government's benefits may have only a minor impact on support for the enforcement of the rule of law. Two characteristics play an important role in these conditions: the initial level of crime and the types of activities the government chooses to undertake. We present examples showing that the initial level of crime has the more dramatic effect on subsequent support for the rule of law.