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The quick growth of web-based and mobile e-learning applications such as massive open online courses have created a large volume of online learning resources. Confronting such a large amount of learning data, it is important to develop effective clustering approaches for user group modeling and intelligent tutoring. The paper aims to discuss these issues.

In this paper, a minimum spanning tree based approach is proposed for clustering of online learning resources. The novel clustering approach has two main stages, namely, elimination stage and construction stage. During the elimination stage, the Euclidean distance is adopted as a metrics formula to measure density of learning resources. Resources with quite low densities are identified as outliers and therefore removed. During the construction stage, a minimum spanning tree is built by initializing the centroids according to the degree of freedom of the resources. Online learning resources are subsequently partitioned into clusters by exploiting the structure of minimum spanning tree.

Conventional clustering algorithms have a number of shortcomings such that they cannot handle online learning resources effectively. On the one hand, extant partitional clustering methods use a randomly assigned centroid for each cluster, which usually cause the problem of ineffective clustering results. On the other hand, classical density-based clustering methods are very computationally expensive and time-consuming. Experimental results indicate that the algorithm proposed outperforms the traditional clustering algorithms for online learning resources.

The effectiveness of the proposed algorithms has been validated by using several data sets. Moreover, the proposed clustering algorithm has great potential in e-learning applications. It has been demonstrated how the novel technique can be integrated in various e-learning systems. For example, the clustering technique can classify learners into groups so that homogeneous grouping can improve the effectiveness of learning. Moreover, clustering of online learning resources is valuable to decision making in terms of tutorial strategies and instructional design for intelligent tutoring. Lastly, a number of directions for future research have been identified in the study.

The purpose of this paper is to investigate a new and practical decision support model of the coordinated replenishment and delivery (CRD) problem with multi-warehouse (M-CRD) to improve the performance of a supply chain. Two algorithms, tabu search-RAND (TS-RAND) and adaptive hybrid different evolution (AHDE) algorithm, are developed and compared as to the performance of each in solving the M-CRD problem.

The proposed M-CRD is more complex and practical than classical CRDs, which are non-deterministic polynomial-time hard problems. According to the structure of the M-CRD, a hybrid algorithm, TS-RAND, and AHDE are designed to solve the M-CRD.

Results of M-CRDs with different scales show that TS-RAND and AHDE are good candidates for handling small-scale M-CRD. TS-RAND can also find satisfactory solutions for large-scale M-CRDs. The total cost (TC) of M-CRD is apparently lower than that of a CRD with a single warehouse. Moreover, the TC is lower for the M-CRD with a larger number of optional warehouses.

The proposed M-CRD is helpful for managers to select the suitable warehouse and to decide the delivery scheduling with a coordinated replenishment policy under complex operations management situations. TS-RAND can be easily used by practitioners because of its robustness, easy implementation, and quick convergence.

Compared with the traditional CRDs with one warehouse, a better policy with lower TC can be obtained by the new M-CRD. Moreover, the proposed TS-RAND is a good candidate for solving the M-CRD.

A recommendation algorithm is typically applied to speculate on users’ preferences based on their behavioral characteristics. The purpose of this paper is to provide a systematic review of recommendation systems by collecting related journal articles from the last five years (i.e. from 2014 to 2018). This paper aims to study the correlations between recommendation technologies and e-learning systems.

The paper reviews the relevant articles using five assessment aspects. A coding scheme was put forward that includes the following: the metrics for the e-learning system, the evaluation metrics for the recommendation algorithms, the recommendation filtering technology, the phases of the recommendation process and the learning outcomes of the system.

The research indicates that most e-learning systems will adopt the adaptive mechanism as a primary metric, and accuracy is a vital evaluation indicator for recommendation algorithms. In existing e-learning recommender systems, the most common recommendation filtering technology is hybrid filtering. The information collection phase is an important process recognized by most studies. Finally, the learning outcomes of the recommender system can be achieved through two key indicators: affections and correlations.

The recommendation technology works effectively in closing the gap between the information producer and the information consumer. This technology could help learners find the information they are interested in as well as send them a valuable message. The opportunities and challenges of the current study are discussed; the results of this study could provide a guideline for future research.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

In this chapter, we will review the history, deregulation, policy reforms, and airline consolidations and mergers of the Chinese airline industry. The measurement of airline competition in China’s domestic market will also be discussed. Although air deregulation is still ongoing, the Chinese airline industry has become a market-driven business subject to some mild regulations. Then, we will review the impressive development of the high-speed rail (HSR) network in China and its effects on the domestic civil aviation market. In general, previous studies have found that the introduction of HSR services has a significant negative impact on airfare and air travel demand in China. The rapidly expanding network of HSR has important policy implications for Chinese airlines.

There is significant amount of literature tackling different issues related to the port industry. The present chapter focuses on a single business unit of seaports aiming at the documentation of works related to container terminals.

An effort to review, collect and present the majority of the works present in the last 30 years, between 1980 and 2010, has been made in order to picture the problems dealt and methods used by the authors in the specific research field. To facilitate the reader, studies have been grouped under five categories of addressed problems (productivity and competitiveness, yard and equipment utilization, equipment scheduling, berth planning, loading/unloading) and four modelling methodologies (mathematics and operations research, management and economics, simulation, stochastic modelling).

The analysis shows that most works focus on productivity and competitiveness issues followed by yard and equipment utilisation and equipment scheduling. In reference to the methodologies used managerial and economic approaches lead, followed by mathematics and operations research.

In reference to future research, two fields have been identified where there is scope of significant contribution by the academic community: container terminal security and container terminal supply chain integration.

The present chapter provides the framework for researchers in the field of port container terminals to picture the so far works in this research area and enables the identification of gaps at both research question and methodology level for further research.

Drawing on solidarity-conflict model, expectancy disconfirmation theory and bottom-up spillover theory, this study aims to explore how intergenerational conflict is linked to parents’ subjective well-being through the serial mediating effects of family intimacy and travel satisfaction, self-efficacy and travel satisfaction.

Based on a survey of 411 senior parents who have family travel experience, a structural equation modeling was performed to test the hypotheses.

This study demonstrated the negative impacts of intergenerational conflict on parents’ travel satisfaction and subjective well-being and further reveals two serial mediators through individual level and family level (i.e. self-efficacy → travel satisfaction; family intimacy → travel satisfaction).

The findings of this research generate valuable practical implications for family members and destination organizations. Adult children should consider different generations’ needs to choose tourism products, help parents reduce tension and negative emotions about unusual environments and build confidence. The destination organizations need to design family interaction projects with a sense of rituals to enhance family intimacy.

This study focusing on the intergenerational conflict of adult children traveling with parents, empirically examines the negative impacts of intergenerational conflict on parents’ subjective well-being, uncovers the detrimental effects of family travel; it breaks the stereotype that family travel is always full of joy, enriching research on intergenerational relationships and family travel.

研究基于团结-冲突模型、期望不一致理论和自下而上溢出理论, 旨在通过家庭亲密度和旅行满意度、自我效能感和旅行满意度的链式中介效应探索代际冲突如何影响父母的主观幸福感。

基于411位有过家庭旅行经历的老年父母的调查数据, 运用结构方程模型检验假设。

研究验证了代际冲突对父母旅行满意度和主观幸福感的负面影响, 并进一步从个人层面和家庭层面揭示了两个链式中介的作用(即自我效能感→ 旅行满意度; 家庭亲密→ 旅行满意度)。

研究聚焦成年子女与父母一起旅行的代际冲突, 实证检验了代际冲突对父母主观幸福感的负面影响, 发现了家庭旅行中的消极面, 打破了家庭旅行总是充满欢乐的刻板印象, 丰富了代际关系和家庭旅行的研究成果。

研究结果为家庭成员和目的地组织提供了具有价值的实践指导。成年子女在选择旅游产品时需要考虑不同的代际需求, 帮助父母减少非惯常环境中的紧张和负面情绪, 建立自信心。目的地组织可设计更具仪式感的家庭互动项目, 帮助提高家庭亲密度。

Basado en el modelo de solidaridad-conflicto, la teoría de inconsistencia de expectativas y la teoría de desbordamiento de abajo hacia arriba, este estudio tiene como objetivo explorar cómo el conflicto intergeneracional está relacionado con el bienestar subjetivo de los padres a través de los efectos mediados de serie de la intimidad familiar y la satisfacción de viaje, la autoeficacia y la satisfacción de viaje.

Basado en datos de encuestas de 411 padres mayores que tienen experiencia en viajes familiares, un modelo de ecuación estructural fue utilizado para probar las hipótesis.

Este estudio demostró el impacto negativo del conflicto intergeneracional en la satisfacción de viaje de los padres y el bienestar subjetivo, y además reveló dos mediadores de serie a nivel individual y nivel familiar (es decir, autoeficacia →satisfacción de viaje; intimidad familiar →satisfacción de viaje).

Este estudio se centra en el conflicto intergeneracional de los hijos adultos que viajan con sus padres, para examinar empíricamente el impacto negativo del conflicto intergeneracional en el bienestar subjetivo de los padres, revela los aspectos negativos de los viajes familiares, rompe el estereotipo de que los viajes familiares siempre están llenos de alegría, lo que enriquece el estudio de las relaciones intergeneracionales y los viajes familiares.

Los hallazgos de este estudio proporciona valiosas implicaciones prácticas para los miembros de la familia y los organizadores de destinos. Los hijos adultos consideran las necesidades de diferentes generacionales para elegir productos de viaje, ayudar a los padres a reducir la tensión y las emociones negativas en entornos inusual y desarrollar la confianza y la. Los organizadores de destinos deben diseñar programas de interacción familiar con sentido de rituales para potenciar la intimidad familiar de los padres.

Due to fierce competition in the mobile retailing market, it is desirable to identify the success factors driving consumers to reuse a mobile shopping application. This research intends to develop a model for mobile shopping app success by integrating an e-commerce systems success (ESS) model and sales promotion benefits and parasocial interaction literatures.

302 useable online questionnaires were obtained. The data analysis was conducted using the structural equation modelling.

The results indicate the validity of the ESS model in predicting consumers' reuse intention of mobile shopping apps where three quality dimensions of system, information and service facilitate both perceived value and user satisfaction, which in turn generates reuse intention. Furthermore, savings and entertainment denoting the utilitarian and hedonic sales promotion benefits have positive impact on perceived value but have no influence on satisfaction. Parasocial intention between consumers and sellers facilitates both value perception and satisfaction.

This research contributes to the mobile retailing literature by identifying the success factors driving consumers' continuance intention of mobile shopping apps. Theoretically, it validates and extends the ESS model in mobile shopping app context by identifying savings, entertainment and parasocial interaction as additional success factors. Based on the findings, two approaches are proposed to suggest mobile retailers design a successful mobile shopping app.

This chapter examines how the breakthrough of Zhang Ziyi's depiction of a female kung fu master in The Grandmaster (2013) transforms the figure of the heroine in Chinese action films. Zhang is well known for her acting in action films conducted by renowned directors, such as Ang Lee, Zhang Yimou and Wong Kar-wai. After winning 12 different Best Actress awards for her portrayal of Gong Ruomei in The Grandmaster, Zhang announced that she would no longer perform in any action films to show her highest respect for the superlative character Gong. Tracing Zhang's transformational portrait of a heroine in The Grandmaster alongside her other action roles, this analysis demonstrates how her performance projects the directors' distinctive gender viewpoints. I argue that Zhang's characterisation of Gong remodels heroine-hood in Chinese action films. Inheriting the typical plot of a daughter's use of martial arts for revenge for her father's death, Gong breaks from conventional Chinese action films that highlight romantic love during a woman's adventure and the decisive final battle scene. Beyond the propensity for sensory stimulation, Gong's characterisation enables Zhang to determine that women can really act in action films – demonstrating their inner power and ability to create multi-layered characters – not merely relying upon physical action. This chapter offers a relational perspective of how women transform the action film genre not merely as gender spectacles but as embodied figures that represent emerging female subjectivity.