创建学习型组织中学习力的核心问题研究

通过对《比狼学得快》的故事的阐述,引出学习型组织的基本概念及五项修炼的基本内涵,剖析了现代企业管理中对五项修炼理论的运用,提出了提升企业竞争力的核心是学习力的问题,优势的建立就是要比竞争对手学习得更快。     

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

When push comes to shove: How coach versus student athlete misconduct affects event attendance intentions

Though onand off-the-field misconduct is common among U.S. college athletic programs, little is known regarding the ramifications that may result. Drawing on social learning theory, the current research suggests consumers intentions (e.g., likelihood of attending a game) differ depending on violator's team role. Across one qualitative and five experimental studies, we demonstrate that consumers' intentions are influenced by violator's team role, such that likelihood of attending a game is lower when a coach (vs. student athlete) misbehaves, an effect driven by evaluation of the academic institution. This effect is robust across both winning and losing records and moderated by perceived fairness of the university's actions toward the violator.     

Green consumption behavior prediction based on fan-shaped search mechanism fruit fly algorithm optimized neural network

Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics.     

Learning equilibrium mean-variance strategy

We study a dynamic mean-variance portfolio optimization problem under the reinforcement learning framework, where an entropy regularizer is introduced to induce exploration. Due to the time–inconsistency involved in a mean-variance criterion, we aim to learn an equilibrium policy. Under an incomplete market setting, we obtain a semi-analytical, exploratory, equilibrium mean-variance policy that turns out to follow a Gaussian distribution. We then focus on a Gaussian mean return model and propose a reinforcement learning algorithm to find the equilibrium policy. Thanks to a thoroughly designed policy iteration procedure in our algorithm, we prove the convergence of our algorithm under mild conditions, despite that dynamic programming principle and the usual policy improvement theorem failing to hold for an equilibrium policy. Numerical experiments are given to demonstrate our algorithm. The design and implementation of our reinforcement learning algorithm apply to a general market setup.     

高校内部控制评价指标体系的构建与应用

内部控制评价对于强化高校内部控制是十分重要的,而进行内部控制评价要解决的关键问题之一则是建立科学的内部控制评价指标体系。要建立科学的高校内部控制评价指标体系,需要从高校内部控制的要素入手;再根据高校内部控制要素,构建高校内部控制评价指标体系,并在指标体系基础上建立模糊综合评价模型;运用模糊综合评价模型,可以对高校的内部控制状况进行全面的评价。     

产业集群的自我否定与跨网络学习——以浙江温州低压电器产业集群为例

我国本土产业集群在经过一段时间的高速发展后,围绕＂锁定＂存在的诸多矛盾和潜在风险等问题都逐渐暴露出来,而产业集群升级始终不能很好解决,并成为困扰我国实践和理论的一个棘手问题;文章在辨析产业集群内外双重锁定的基础上,指出升级仅适合集群发展初级阶段时的内部＂锁定＂,而集群发展到高级阶段并面临外部＂锁定＂时,往往不能突破而陷入＂升级悖论＂;基于跨网络学习的视角,本文认为集群只有彻底自我否定,并融入跨国企业网络,才能突破来自内外的双重锁定,获得学习和知识溢出的机会;最后,结合我国浙江温州低压电器产业集群案例,分析在面临跨国公司竞争压力下,本土产业集群如何融入跨国企业网络,并寻求新的发展机会的学习路径。     

学习困难学生特点及影响因素个案研究

为了帮助不同的学习困难学生克服学习困难,改善现状,研究通过访谈法,对三名学习困难学生的特点及导致他们学习困难的影响因素进行了分析,结果表明学习困难学生具有智力正常,但注意力缺陷,学习动机不强且社会能力水平较低.而父母不恰当的期望或缺乏学习兴趣等原因导致他们学习困难.     

以情感教育化解传统文化对学生英语自主学习的负面影响

在英语学习中,自主学习是提高学习效率的有力保证.但是由于传统文化的影响,学生英语自主学习状况并不是十分理想.本文分析了传统文化对学生英语自主学习带来的负面影响,提出以情感教育作为化解手段的可行性.     

FOREIGN ENTRY,CULTURAL BARRIERS,AND LEARNING

This paper examines the longevity of foreign entries. Hypotheses are developed on the mode (start-ups vs. acquisitions) and ownership structure (wholly owned vs. joint ventures) in relation to cultural distance. The hypotheses are tested within a framework of organizational learning, using data on 225 entries that 13 Dutch firms carried out from 1966 onwards. Results show that the presence of cultural barriers punctuates an organization's learning. Cultural distance is a prominent factor in foreign entry whenever this involves another firm, requiring the firm to engage in ‘double layered acculturation.’ We also identify locational ‘paths of learning.’ The longevity of acquisitions is positively influenced by prior entries of the firm in the same country. Similarly, the longevity of foreign entries, in which the firm has a majority stake, improves whenever the expanding firm engaged in prior entries in the same country and in other countries in the same cultural block.