人力资本积累、搜寻渠道与农民工工资水平——基于微观调查数据的区间回归分析

本文基于广东企业用工调查数据,利用区间回归模型,检验了农民工人力资本积累、工作搜寻渠道、社会保险等对于他们在城市劳动力市场上的工资水平的影响,结果发现：人力资本能够显著提升农民工在城市劳动力市场上的工资水平;农民工的社会关系网络及政府、市场中介的搜寻行为都无助于提升农民工的工资水平;参加社会保险农民工的工资水平要明显高于未参保农民工,而工作生活满意度的高低对农民工工资也不会产生显著影响。     

Efficiency Evaluation in Search Advertising

In this article, we use data envelopment analysis combined with principal component analysis to evaluate the efficiency of online retailers in search advertising. We examine various efficiency model specifications involving several resource and performance‐related variables in search advertising. Our analysis based on 200 retailers suggests different efficiency patterns for multichannel and Web‐only retailers. The results of our efficiency pattern analysis indicate that the performance metrics, impressions, online sales, click‐through rate, and conversion rate together reveal differences in efficiency mainly for multichannel retailers. On the other hand, ad positions in sponsored and organic links reveal differences in efficiency for Web‐only retailers. In terms of overall efficiency, we find that multichannel retailers occupy relatively most of the top positions. These results contribute to organizational level understanding of search advertising practices in online retailing and offer insights into keyword management, resource utilization, and performance metrics in search advertising campaigns.     

从授权到限权——搜查令功能研究

搜查证在具有授权功能的同时,通过对搜查对象的具体描述还具有限权功能。在中国的刑事诉讼理论与实践中,对于搜查证的授权功能没有疑问,但是,对于搜查证的限权功能还未引起足够的重视。其表现是,搜查证中记载的内容非常有限,通常仅限于对搜查对象的概括性描述,因此不足以形成对侦查人员搜查权力的限制。     

建立智能专业导航系统加速网上信息资源有序化进程

作为“第四媒体”的因特网以其丰富的信息资源越来越受到人们的关注 ,而目前综合性因特网搜索引擎并不能解决网上信息的无序与混乱 ,因此 ,利用目前已有的计算机技术、网络技术、人机工程和信息加工技术来建立一种智能专业导航系统 ,更能揭示深层次网上信息 ,满足广大科研工作者的需要 ,从而加速网上资源有序化进程。     

Minimum number of runs for two-level factorial search designs

A lower bound is given for the number of experimental runs required in search designs for two-level factorial models.     

Main effect plan for 2m factorials which allow search and estimation of one unknown effect

In this paper, we discuss resolution III plans for 2^m factorial experiments which have an additional property. We relax the classical assumption that all the interactions are negligible by assuming that (at most) one of them may be nonnegligible. Which interaction is nonnegligible is unknown. We discuss designs which allow the search and estimation of this interaction, along with the estimation of the general mean and the main effects as in the classical resolution III designs.     

专业化知识搜寻、管理创新与企业绩效：认知评价的调节作用

本研究基于探索/利用双元分析框架,将管理创新划分为利用式管理创新和探索式管理创新两个维度,并将知识搜寻和认知评价的理论观点整合到现有管理创新采纳与实施过程理论模型中,构建了一个研究模型,以考察双元管理创新的采纳过程及其实施对企业绩效的影响。本文以我国华南地区468家制造型企业为问卷调查对象,对上述研究模型进行实证检验,结果表明:(1)科学型知识搜寻主要促进探索式管理创新;市场型知识搜寻对利用式和探索式管理创新均有正向影响;供应链型知识搜寻主要促进利用式管理创新;(2)科学型知识搜寻与探索式管理创新间的关系同时受到风险性认知(负向)、匹配性认知(正向)和复杂性认知(负向)的调节效应影响;市场型知识搜寻与利用式管理创新间的关系仅受到复杂性认知的负向调节效应影响;供应链型知识搜寻与利用式管理创新间的关系同时受到风险性认知(负向)、匹配性认知(正向)和复杂性认知(正向)的调节效应影响,但其与探索式管理创新间的关系仅受到匹配性认知的负向调节效应影响;(3)利用式管理创新与企业绩效呈倒U型关系;探索式管理创新与企业绩效呈正U型关系。研究结论对于厘清管理创新的复杂采纳过程及其实施机理有一定的理论贡献,同时对企业顺利开展管理创新具有一定的实践启示意义。     

劳动力市场匹配效率的影响因素研究

当前就业难、用工荒并存的重要原因是劳动力市场不健全导致匹配效率低。本文基于面板数据,利用自适应Lasso方法对我国劳动力市场匹配效率的影响因素进行实证研究。研究发现,技工学校等职业培训机构、人才市场等职业市场机构的发展对劳动力市场匹配效率有显著影响,相对于需求方而言,提高匹配效率应更多从供给侧入手,这是根本之策。应整合优化职业教育资源,提高劳动力质量和适用性,更好地满足加快建设创新型国家、全面建设现代化经济体系的需要。     

The Bounded Rationality Bias in Managerial Valuation of Real Options: Theory and Evidence from IT Projects*

Although real options theory normatively suggests that managers should associate real options with project value, little field research has been conducted to test whether they suffer from systematic biases in doing so. We draw on the notion of bounded rationality in managerial decision making to explore this understudied phenomenon. Using data collected from managers in 88 firms, we show that managers exhibit what we label the bounded rationality bias in their assessments: They associate real options with value only when a project's easily quantifiable benefits are low, but fail to do so when they are high. The study also contributes the first set of empirical measures for all six types of real options. The study contributes to managerial practice by identifying the conditions under which managers must be vigilant about inadvertently neglecting real options and by providing a simple approach for assessing real options in technology development projects.     

Feature Screening for Ultrahigh Dimensional Categorical Data With Applications

Ultrahigh dimensional data with both categorical responses and categorical covariates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable statistical tool. We propose a Pearson chi-square based feature screening procedure for categorical response with ultrahigh dimensional categorical covariates. The proposed procedure can be directly applied for detection of important interaction effects. We further show that the proposed procedure possesses screening consistency property in the terminology of Fan and Lv (2008). We investigate the finite sample performance of the proposed procedure by Monte Carlo simulation studies and illustrate the proposed method by two empirical datasets.