个体主动性人格对学习能力影响的实证研究

探讨了员工个体的主动性人格特质对其学习能力的影响及其作用机制,以及员工的工作卷入和反馈寻求在这一关系中的中介作用。运用企业236个员工数据进行分析,得出以下结论:企业员工的主动性人格显著促进其学习能力;员工的主动性人格显著强化其工作卷入和反馈寻求;员工对内的工作卷入促进了其学习能力,且在主动性人格和学习能力的关系中起部分中介的作用;员工对外的反馈寻求促进其学习能力,且在主动性人格和学习能力的关系中起部分中介作用。研究结论为组织个人学习能力的提升提供了一个重要的前因变量,并对员工工作卷入与反馈寻求的中介作用机制进行了探讨,丰富了个人学习研究,并提出了相关的实践建议。     

Analysing enterprise architecture maturity models: a learning perspective

In order to aid organisations in the adoption of enterprise architecture (EA) best practices, maturity models have been proposed in the literature. These models offer organisational roadmaps and assessment frameworks for increasing EA maturity. However, key questions concerning the implied meaning of the term maturity in the context of these models have been left unexplored by previous research. This research, aided by the field of organisational learning, offers new insights into the implied assumptions of current EA maturity models and offers initial concepts and constructs to guide the conceptualisation, construction and refinement of enterprise maturity models.     

Management of Foreign Market Entry： A Study of Czech Companies

Internationalization of company activities is the necessity of the development for majority of entrepreneurial subjects in the Czech Republic. Internationalization of entrepreneurial activities becomes a tool of business competitiveness. Selecting the right foreign entry mode is an important decision, which demands a lot of resources and thorough planning. The factors influencing company＇s choice of entry mode are divided into two main groups subsuming--external and internal factors. External factors consist of determinants regarding the company＇s environment while the intemal ones are determined by the company＇s specific factors. The opening of new markets such as in the Czech Republic has created the potential for small and medium-size enterprise （SME） expansion and investment. The objective of this paper is to present an application of the entry modes of the selected Czech entrepreneurial subjects. The companies included in the study are those that have undertaken internationalization activities and are incorporated in the Czech Republic. There were a total of 297 enterprises that participated in the research. The research method was an oral questioning and the main instrument was a questionnaire. A relatively low degree of Czech companies that have undergone intemationalization has resulted in the dominance of the least advanced forms of internationalization expansion, mainly exports with a small share of more advanced forms of foreign direct investments and a very low level of forms of international cooperation. Czech companies are in decision about the choosing the foreign entry mode influenced by the many factors. The greatest influence on the choice of foreign entry mode has entry mode variables. Entry mode variables constitute variables assessment characteristics of particular entry mode.     

组织学习的时空理论

从动态和系统的角度,从组织学习的来源出发,首先提出了组织学习的来源存在时间和空间两个维度,然后建立了基于时间和空间维度的组织学习时空理论。从时间维度(过去、现在和未来)和空间维度(内部和外部)构建了组织学习的6种基本模式,通过排列组合建立了64种组织学习方法,并进一步提出组织要根据外部环境的客观要求和内部实现的可行性选择合适的学习方法,以及组织选择的学习方法可能随着发展阶段的推移而变化等观点。     

“教学做”一体化的高职土木工程专业实训室建设研究

本文分析了土木工程实训室建设的现状,探讨了"教学做"一体化实训室建设的措施,并预测了"教学做"一体化实训室的实训效果。     

研学结合教学理念在微观经济学课程中的应用

为了探索适合高职学生学习特点的教学方法，提高教学质量，本文就研学结合教学理念的内涵、实施路径、特征和目的进行了探索和研究，并在微观经济学课程中进行试验。结果显示教学效果良好，教学质量得到提升，学生的学习兴趣得以提高，主动参与的积极性增加，培养了学生分析问题和解决问题的能力，为专业训练和实践打好基础。论文最后就研学结合教学理念在微观经济学课程实施中存在的问题进行了剖析，并提出了进一步探索和努力地方向。     

Does online observational learning matter? Empirical evidence from panel data

The information presented on a product sales page plays an important role in consumers' purchase decisions. This study examines the persuasive effect, whether a customer's choice is heavily driven by information inferred from others' behavior, and how these impacts are moderated by market age and product type. Results show that online customer choice was significantly affected by historical cumulative sales and times saved. Positive cumulative sales and shop service quality have a significant positive impact on product sales. The times saved have no direct impact on product sales. For different types of products, the times saved of experiential products has a significant impact on product sales, while the shop service quality information of search products has a greater impact on product sales. The influence of online observation learning on product sales will be significantly moderated by a combination of product type and market age. These findings not only offer important theoretical contributions to e-commerce research but also provide practical implications for online sellers and managers of social commerce platforms.     

基于建构主义理论的外语语音教学策略简

扼要介绍了建构主义学习理论的基本内涵，指出当前外语语音教学存在的主要问题及其根源，并有针对性地提出了基于建构主义学习理论的外语语音教学策略。     

A gradient boosting approach to the Kaggle load forecasting competition

We describe and analyse the approach used by Team TinTin (Souhaib Ben Taieb and Rob J Hyndman) in the Load Forecasting track of the Kaggle Global Energy Forecasting Competition 2012. The competition involved a hierarchical load forecasting problem for a US utility with 20 geographical zones. The data available consisted of the hourly loads for the 20 zones and hourly temperatures from 11 weather stations, for four and a half years. For each zone, the hourly electricity loads for nine different weeks needed to be predicted without having the locations of either the zones or stations. We used separate models for each hourly period, with component-wise gradient boosting for estimating each model using univariate penalised regression splines as base learners. The models allow for the electricity demand changing with the time-of-year, day-of-week, time-of-day, and on public holidays, with the main predictors being current and past temperatures, and past demand. Team TinTin ranked fifth out of 105 participating teams.     

Escape dynamics: A continuous-time approximation

We extend a continuous-time approximation approach to the analysis of escape dynamics in economic models with constant gain adaptive learning. This approach is based on the application of the results of continuous-time version of large deviations theory to the linear diffusion approximation of the original discrete-time dynamics under learning. We characterize escape dynamics by analytically deriving the most probable escape point and mean escape time. The approximation is tested on the Phelps problem of a government controlling inflation while adaptively learning a misspecified Phillips curve, studied previously by Sargent (1999) and Cho et al. (2002) (henceforth, CWS), among others. We compare our results with simulations extended to very low values of the constant gain and show that, for the lowest gains, our approach approximates simulations relatively well. We express reservations regarding the applicability of any approach based on large deviations theory to characterizing escape dynamics for economically plausible values of constant gain in the model of CWS when escapes are not rare. We show that for these values of the gain it is possible to derive first passage times for learning dynamics reduced to one dimension without resort to large deviations theory. This procedure delivers mean escape time results that fit the simulations closely. We explain inapplicability of large deviations theory by insufficient averaging near the point of self-confirming equilibrium for relatively large gains which makes escapes relatively frequent, suggest the changes which might help approaches based on the theory to work better in this gain interval, and describe a simple heuristic method for determining the range of constant gain values for which large deviations theory could be applicable.