Enhancing the study abroad experience: A longitudinal analysis of hospitality-oriented,study abroad program evaluations

Research suggests numerous benefits associated with studying abroad. Given the increasingly global nature of the world, it would seem that there is a significant need for international exposure; however, only 1.4% of U.S. students have studied abroad. This study examined program evaluations from 11 short-term undergraduate study abroad programs encompassing a span of 9 years. A total of 185 participants completed the survey using evaluations designed for program improvement, which were collected at the conclusion of each experience. Data were examined using a mixed-methods approach with the goal of identifying programmatic characteristics that contributed to increased student satisfaction. Results indicated that students' preferences were prioritized in terms of logistics, culture, and pleasure. In addition, the engagement and source of experience significantly influenced students' satisfaction with their study abroad experience, implying that students prefer programs with active components and local guides. Findings were examined in light of Mezirow's Transformative Learning Theory.     

基于工作过程的课程开发与实践--以高职《数据库技术与应用》课程为例

基于工作过程导向的课程开发是当前高等职业教育改革的方向，文章结合实际教学经验总结了基于工作过程导向的高职《数据库技术与应用》课程开发与实践的方案。     

技术学习成本的分担方式与企业创新绩效关系的实证研究

本文选取2009～2013年中国医药行业上市公司作为研究样本，分别对技术学习的企业内部投入成本与社会外部投入成本对企业创新绩效的影响进行了实证分析，同时探讨了技术学习的两种承担方式之间的关系。研究结果表明，技术学习过程中的企业投入与社会投入均对企业创新绩效产生显著正向影响，技术学习的投入越大，企业创新绩效越好。但政府以税收优惠与财政补贴等政策方式分担企业技术学习成本的效果并不显著。     

A neural network based price sensitive recommender model to predict customer choices based on price effect

The impact of price and price changes should not be ignored while designing algorithms for predicting customer choice. Consumer preferences should be modeled with consideration of price effects. Businesses need to consider for efficient prediction of an individual's purchase behaviour. Personalized recommendation systems have been studied with machine learning algorithms. However, the price-aware personalized recommendation has received little attention. In this paper, we attempt to capture insightful economic results considered in the marketing and economics disciplines by employing modern machine learning architecture for predicting customer choice in a large-scale supermarket context. We extract personalized price sensitivities and examine their importance in consumer behaviour. The employed data collected from a supermarket chain in Germany consists of implicit feedback based on customer-product interactions and the price of every interaction. We propose a two-pathway matrix factorization (2way-MF) model that is price-aware and tries to memorize customer-product interaction's implicit feedback. The proposed models achieve better model performance than standard Matrix Factorization models widely used in the industry. The approach was re-validated with data from supermarket chain in Taiwan. Other industries can adopt the proposed framework of modeling customer's preferences based on price sensitivity. We suggest that further research and analyses could help understand the cross-price elasticities.     

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.     

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。     

价值共创行为分析框架构建 ——基于赋能理论视角

通过文献调查并结合案例的描述性分析,提出数字技术时代价值网络中不同行为主体之间的赋能内涵、关键维度以及基于赋能跨层次效应的价值共创行为分析框架。将"赋能氛围""主体赋能"分别作为价值网络中赋能的宏观维度和微观维度进行概念化。界定了两个维度的关键组成要素,分别包括信息共享、开放性结构、协同规则以及主体关系、资源整合和影响。构建了赋能的跨层次效应模型,分析了赋能的宏观-微观跨层次效应及其对价值网络生态和主体价值创造的影响。