员工被妒忌感知对创新绩效的双重作用机制研究

依据工作要求-资源模型和资源保存理论,构建了员工被妒忌感知对创新绩效影响的双重链式中介效应模型;基于双时点收集的302份问卷调查数据,运用Bootstrap等方法进行了模型验证.结果表明,员工被妒忌感知对情感反应有正向影响,员工被妒忌感知通过积极情感正向影响建言行为,通过消极情感正向影响沉默行为,建言行为对创新绩效有正向影响,沉默行为对创新绩效有负向影响,员工被妒忌感知通过积极情感和建言行为的链式中介作用正向影响创新绩效,通过消极情感和沉默行为的链式中介作用负向影响创新绩效.     

员工建言行为的影响因素:基于个体层次变量的元分析

在过去的30年间,员工建言行为受到广泛关注,并成为积极行为研究中的热点议题。在以往研究中,研究者从各个角度分析了员工建言行为的影响因素,但研究结论并不一致。从影响建言行为的个体层次变量出发,通过检索关于个体变量与员工建言行为关系的研究文献,对以往研究进行了基于元分析的定量综述。结果表明,个体的履历信息、大五个性模型中的外向性和责任性、个体的主动性人格和发展目标取向与员工建言行为之间存在显著的正相关关系,而自我监控、控制点和自尊与建言行为的关系并不像预期的那样稳定和清晰。     

工作不安全感对员工建言行为的影响

员工建言对于组织发展具有重要意义,当个体处于工作不安全状态下,如何促进员工的积极建言而抑制其消极建言是组织需要考虑的关键问题。为探明工作不安全感对员工建言行为的影响,采用两阶段追踪调查数据,将员工建言行为分为建设型建言和防御型建言,运用层级回归模型与Bootstrap分析方法,对446名企业员工进行了问卷调查。研究结果表明：工作不安全感对建设型建言有显著负向影响,对防御型建言有显著正向影响,感知控制在其中起中介作用;组织地位感知正向调节了工作不安全感通过感知控制影响建设型建言、防御型建言的间接效应。研究结果不仅丰富了工作不安全感与建言行为的理论研究,也为有效激发员工建言行为提供了有益的启示。     

基层员工权力距离取向、建言行为和创新绩效

创新绩效是组织行为学领域的重要议题。目前，关于创新绩效前因变量的研究已取得很大进展，但对于个体因素的权力感知以及公平价值观对创新绩效影响的研究较少。基于此，依据社会交换理论和个体-情境互动理论，基于423份问卷调查数据，采用多元线性回归方法，探讨基层员工权力距离取向、建言行为与创新绩效关系。结果表明，促进性建言及抑制性建言在员工权力距离取向与创新绩效的负相关关系之间均起部分中介作用，工作单位结构调节员工权力距离取向与促进性建言及抑制性建言之间的关系，且组织越倾向于有机式结构，员工权力距离取向对促进性建言和抑制性建言的负向影响更弱，其在创新意愿、创新行为和创新成果方面的表现也就越好。     

基于角色定位视角的追随力影响因素分析 ——理论模型与相关研究命题

提升自身追随力是员工个人以及组织管理实践中新兴的重要话题。从组织管理视角上看,当前关于追随力及其影响因素的研究相对匮乏。通过界定"做事博感情"及追随力概念,构建了角色定位、追随行为与追随力之间的理论模型,在角色理论、追随理论分析的基础上提出相关研究命题。分析认为,追随者角色定位(任务导向、关系导向)差异导致其表现出不同的追随行为(顺从行为、建言行为等),进而对个人追随力产生不同的影响,同时上级发展性反馈调节顺从行为、建言行为对追随力的作用。拓展了追随理论方面的研究,为如何提升员工追随力提供了新的理论视角和依据。     

社会认同视角下的员工建言：基于AMO理论的梳理分析

在变革与创新的时代,激发员工建言的积极性与主动性非常关键,更多需要从内在动机进行驱动。社会认同代表个体与社会的心理与情感联系,在组织情境中包含组织认同、领导认同和自我认同。更进一步,员工建言行为是建言动机、建言能力与建言机会三维因素综合作用的结果,基于AMO理论构建了三种认同影响下的员工建言行为概念模型,对组织管理员工建言有一定的借鉴意义。     

知识型员工创新行为激励策略研究——基于心理契约视角

知识型员工创新行为是企业可持续发展的不竭动力,只有满足知识型员工的心理期望才能激励知识型员工形成内在驱动力,进而产生创新行为。知识型员工的心理期望多属于心理契约的内容,针对其心理期望,结合影响知识型员工创新行为的因素,从心理契约视角,提出了激励知识型员工创新行为的策略。     

员工满意与顾客感知服务质量相关关系的实证研究

通过对某服务企业员工及服务顾客进行实证研究的探讨。数据分析结果表明,员工满意与员工顾客导向服务行为存在相关关系,员工顾客导向服务行为与顾客感知服务质量总体水平存在相关关系、与服务质量五个维度的相关性不同,得出了员工满意度通过影响员工服务行为导向来影响顾客感知服务质量的结论。     

女性知识型员工工作家庭增益对管家行为的影响——一个跨层次被调节的中介效应模型

基于112个团队的398名女性知识型员工的问卷调查数据，采用多层线性模型，探讨了工作家庭增益对女性知识型员工心理所有权及其管家行为的影响，并分析了互动公平氛围的调节作用.结果表明:工作家庭增益对女性知识型员工的管家行为具有显著的正向影响;女性知识型员工的心理所有权在工作家庭增益影响管家行为的过程中起中介作用;互动公平氛围调节了女性知识型员工工作家庭增益通过心理所有权影响管家行为的中介作用.     

基于社会劝说理论的中国HR有效建言行为开发研究

员工向上建言实质上是通过劝说使得管理者改变原先态度的一种做法。HR在工作中经常需要和不同的管理者交换意见,争取各部门的配合与支持,社会劝说理论影响态度改变的四个变量可以提高中国HR建言行为的有效性,提高HR在公司建言的话语权。从信息来源因素(HR建言者)看,应从专业性、可靠性两个方面提升HR的影响力;从信息因素(建言内容)看,要根据信息的完善性、两面性来增强信息传递的冲击力;从接收者(管理者)变量看,要经营好与管理者的关系、提高事件卷入度来降低管理者的心理抵抗力;从中国本土情境因素(建言情境)看,应该注意儒家思想的中庸思维和高权力距离的影响。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.