共查询到20条相似文献，搜索用时 509 毫秒
1.
2.
3.
介绍了心理契约管理的内涵,分析了信息时代图书馆引入心理契约管理的必要性,并对图书馆心理契约管理的内容进行了具体论述。 相似文献
4.
在市场经济条件下,由于个人理性与集体理性的矛盾,图书馆组织和员工都倾向于追求各自利益的最大化,从而容易陷入"囚徒困境",给图书馆组织的生存与发展带来严重的威胁.本文通过阐释重复博弈条件下图书馆组织和员工双方心理契约的缔结过程,尝试从心理契约的角度来探讨促进双方实现有效沟通的途径. 相似文献
5.
介绍了心理契约的含义及特点,分析了图书馆管理中心理契约的作用,提出构建图书馆员工良好的心理契约,建立科学的员工管理机制,推动图书馆事业健康有序地发展。 相似文献
6.
图书馆知识型员工是图书馆发展的核心力量。图书馆管理者对知识型员工心理契约进行动态管理对于实现知识型员工的心理契约的动态平衡,提高知识型员工的满意度及工作绩效有重要的作用。阐述了心理契约的内涵,分析了知识型员工的特点,并从探索、立业、维持、离职四个阶段对知识型员工心理契约进行管理,最后提出了知识型员工心理契约的动态管理策略。 相似文献
7.
我国国有企业的人才流失问题可以通过员工的心理契约管理来改善。对比罗梭的心理契约特征模型，尝试从组织中的员工和领导两个维度将心理契约划分成冷漠型、主人翁型、利益型和贡献型四种。这种新的分类方法突出了心理契约的激励作用和积极影响，为国企留住人才、提高绩效提供了一条新思路——引导员工形成贡献型的心理契约。 相似文献
8.
基于心理契约的图书馆隐性知识管理 总被引：3，自引：0，他引：3
引入了心理契约和粘滞知识的有关理论,基于心理契约和知识的粘滞性对图书馆隐性知识进行了分类,分析了各类隐性知识的特征,提出了基于心理契约的图书馆隐性知识管理对策。 相似文献
9.
分析了高校图书馆人才流失率高、年轻化等现象。从博弈的视角,构建了图书馆与人才之间的博弈模型,并运用演化博弈论分析了博弈双方的稳定策略。提出建立人才流失预警机制、重视人才培训开发、构建富有竞争力的薪酬福利制度、健全监管约束机制四个过程的动态组合方案,建立新的博弈均衡,使人才流失危机得以有效控制。 相似文献
10.
11.
12.
《国家科学评论(英文版)》2014,(3)
Network science has atracted much atention in recent years due to its interdisciplinary applications. We witnessed the revolution of network science in 1998 and 1999 started with small-world and scale-free networks having now thousands of high-proile publications, and it seems that since 2010 studies of‘network of networks'(NON), sometimes called multilayer networks or multiplex, have atracted more and more atention. he analytic framework for NON yields a novel percolation law for n interdependent networks that shows that percolation theory of single networks studied extensively in physics and mathematics in the last 50 years is a speciic limit of the rich and very diferent general case of n coupled networks. Since then, properties and dynamics of interdependent and interconnected networks have been studied extensively, and scientists are inding many interesting results and discovering many surprising phenomena. Because most natural and engineered systems are composed of multiple subsystems and layers of connectivity, it is important to consider these features in order to improve our understanding of such complex systems. Now the study of NON has become one of the important directions in network science.In this paper, we review recent studies on the new emerging area—NON. Due to the fast growth of this ield, there are many deinitions of diferent types of NON, such as interdependent networks,interconnected networks, multilayered networks, multiplex networks and many others. here exist many datasets that can be represented as NON, such as network of diferent transportation networks including light networks, railway networks and road networks, network of ecological networks including species interacting networks and food webs, network of biological networks including gene regulation network,metabolic network and protein–protein interacting network, network of social networks and so on. Among them, many interdependent networks including critical infrastructures are embedded in space, introducing spatial constraints. hus, we also review the progress on study of spatially embedded networks. As a result of spatial constraints, such interdependent networks exhibit extreme vulnerabilities compared with their non-embedded counterparts. Such studies help us to understand, realize and hopefully mitigate the increasing risk in NON. 相似文献
13.
14.
Recently, series elasticity has been realized using pneumatics in human-robot interaction systems. Pneumatic circuits provide not only a flexible power transmission, but also the elastic element in a series elastic actuator (SEA). Pneumatic series elastic systems involve more than twice the number of parameters that influence system behaviors in comparison with rigid robotic systems. In this study, a position controller that eliminates the need of identifying a system model by employing the time delay estimation (TDE) technique is proposed for pneumatic SEA systems. The TDE technique is effective in compensating for system dynamics and all uncertainties involved in system behaviors without imposing computation load. TDE error is cancelled out through a learning way, which improves control performance and leads to asymptotic stability. A simulation study demonstrates the robustness of the proposed controllers against uncertainties imposed on the motor system as well as uncertainties on the end-effector. The simulation shows the efficacy of the learning compensation for TDE error. 相似文献
15.
16.
《国家科学评论(英文版)》2014,(3)
Network science has atracted much atention in recent years due to its interdisciplinary applications. We witnessed the revolution of network science in 1998 and 1999 started with small-world and scale-free networks having now thousands of high-proile publications, and it seems that since 2010 studies of‘network of networks'(NON), sometimes called multilayer networks or multiplex, have atracted more and more atention. he analytic framework for NON yields a novel percolation law for n interdependent networks that shows that percolation theory of single networks studied extensively in physics and mathematics in the last 50 years is a speciic limit of the rich and very diferent general case of n coupled networks. Since then, properties and dynamics of interdependent and interconnected networks have been studied extensively, and scientists are inding many interesting results and discovering many surprising phenomena. Because most natural and engineered systems are composed of multiple subsystems and layers of connectivity, it is important to consider these features in order to improve our understanding of such complex systems. Now the study of NON has become one of the important directions in network science.In this paper, we review recent studies on the new emerging area—NON. Due to the fast growth of this ield, there are many deinitions of diferent types of NON, such as interdependent networks,interconnected networks, multilayered networks, multiplex networks and many others. here exist many datasets that can be represented as NON, such as network of diferent transportation networks including light networks, railway networks and road networks, network of ecological networks including species interacting networks and food webs, network of biological networks including gene regulation network,metabolic network and protein–protein interacting network, network of social networks and so on. Among them, many interdependent networks including critical infrastructures are embedded in space, introducing spatial constraints. hus, we also review the progress on study of spatially embedded networks. As a result of spatial constraints, such interdependent networks exhibit extreme vulnerabilities compared with their non-embedded counterparts. Such studies help us to understand, realize and hopefully mitigate the increasing risk in NON. 相似文献
17.
18.
19.
20.