Perceptions of determinants of job selection in the hospitality and tourism industry: The case of Korean university students

ABSTRACT

This study explores the key factors influencing potential employees in the hospitality and tourism industry and examines whether causal relationships between behavioral attitudes, subjective norms, and perceived behavioral control influence students' job selection. The study suggests that the career decision-making process is related to job selection. A total of 307 responses were analyzed. The results explain individual students' attitudes toward a behavior and perceived behavioral control in the context of their job selection. Attitudes toward a behavior and job selection had significant effects on career decisions. On the other hand, opinions of significant others had no significant effect. Perceived behaviors required to decide on jobs had a significant effect on job selection intentions. Students with internship experience were likely to form positive attitudes toward the hospitality and tourism industry, suggesting internships to be a useful source of a stronger relationship between the industry and job aptitudes of students in hospitality and tourism programs. The results have important implications.     

GIS as a tool for selection of sample areas in a travel behaviour survey

Whilst Geographical Information Systems (GIS) are now used more commonly in transport research and modelling, GIS techniques were used in this study to select similar sample areas (in terms of geography and census attributes) for data collection. For this purpose, a GIS mapping system for Tyne and Wear, UK, was built. The system included topographic maps of the area, boundary maps of Lower Super Output Areas (LSOA), and aggregated census statistics datasets for LSOAs. Criteria relating to census attributes and the nature of transport were employed to identify ‘hotspots’ by GIS enquiry to provide suitably matching areas, which then formed the basis of the sampling frame.The research project was concerned with commuters’ travel choices and so the study needed to identify commuters. In this case-study context, it is not possible to select fully homogeneous areas, so the GIS ‘hotspots’ approach allowed the identification of areas where there were a high concentration of commuters with multiple alternatives for travel to work. A pilot study showed that the GIS origin-based approach was good in collecting a balanced sample, as compared to an employment-based destination survey. This paper explores the benefits and costs of these origin- and destination-based approaches. In the origin-based home sample, households with paper-based surveys were targeted after identification by GIS. This origin approach requires more data preparation compared to the alternative of an employer-based, destination-based sample that could use online survey methodologies.The paper concludes by identifying GIS as an important tool in selecting a sample area for data collection using multiple criteria, but argues that plans for data collection need to be flexibly constructed to overcome unexpected challenges. Although this paper focuses on a transport research case study, the methodology presented can be applied to survey design and selection of sample areas in other disciplines.     

基于零售商开通网络渠道的多渠道供应链定价策略

文针对拥有网络直销渠道的制造商，考虑零售商实体渠道促销努力水平及消费者的搭便车行为，在 Nash博弈和零售商主导的Stackelberg 博弈下，就零售商开通网络渠道的问题进行研究。通过理论和数值分析，得到以下结论：零售商渠道地位对其开通网络渠道影响不大；开通后，制造商利润减小，当实体渠道基本市场份额较小时，零售商利润增大；零售商应根据实体渠道基本市场份额大小来决定是否开通网络渠道。     

基于实验人文地理学的旅游目的地选择行为研究

文章基于实验经济学和计算机实验人文地理学的方法思想,以旅游目的地选择行为研究为案例。首先设定研究目标,进而提出了实验的前提假设。采用地理信息科学和网络服务技术,构建旅游目的地选择行为实验平台,展开实例研究,研究结果表明:(1)进行大尺度旅游目的地选择时,被试者表现出不断追求旅游效益最大化这一目标,且与旅游目的地的资源类型无关。(2)被试者经过一定实验学习后,总体上呈现出不断追求个人收益最大化的趋势。然而,有些情况下,也可能出现决策失误。案例研究的成功进一步表明,实验人文地理学思想方法和研究手段对于典型人文地理学问题进行研究是可行的。文章为正在发展的实验人文地理学发展提供了案例指导。     

中国货币国际化的趋势预测与人民币的范式选择

货币国际化是一个动态的历史过程。通过对其历史进程的考察,可以清晰地对未来货币国际化进程加以预测。文章认为,中国的人民币国际化进程刚刚起步,但却面临与以往世界货币迥异的道路、环境和结构,迫切需要走出一条符合中国国情的货币国际化道路。     

A genetic algorithm based approach to transactional and QoS-aware service selection

As there are various risks of failure when Web services are deployed in unreliable environment, the execution of a composite Web service (CWS) requires the transaction mechanism to guarantee its reliable execution. However, the existing service selection approaches consider QoS and transaction separately and have not considered that transactional properties may affect the QoS such as the execution time of a CWS. This work addresses the importance of considering transactional properties and how the transactional properties affect the QoS simultaneously in the process of service selection by a QoS-aware and transactional-aware selection approach. First, a performance evaluation method is proposed to calculate the execution time of a transactional CWS. Then, a genetic algorithm based approach, which takes into account the execution time, price, transactional property and successful execution rate of CWS, is presented to achieve global optimisation service selection. Finally, experimental results show the efficiency and effectiveness of the approach.     

银行风险偏好对企业发展影响的实证研究

从行业层面和企业层面实证研究了银行信贷选择对行业和企业发展的影响。结果发现:在行业层面,银行偏好于固定资产比率较高的行业,因此在信贷资源较为紧张的地区,固定资产比率较高的行业会发展得较好,可见长期内银行选择会影响一个地区的产业结构;在公司层面,银行偏好于行业中固定资产比率较高的企业,而企业为了获得信贷资源也会调整其发展策略,倾向于积累固定资产。指出:中国应该大力发展非银行融资渠道,减弱金融系统对经济发展的扭曲。     

Maximizing benefits in project selection: a hybrid approach

Charitable foundations and government programmes should endeavour to allocate their limited resources to best serve their constituents. Yet, mathematical programming techniques are rarely used despite overwhelming evidence of their superiority in selecting projects that yield higher levels of total benefits. We present a novel ‘hybrid selection model’ that combines binary linear programming and heuristic rank-based models applied to two case studies. The first case focuses on providing services to women and shows a hybrid model would have selected the top three ‘signature’ projects and maintained an above-average overall project benefit while securing a 180% improvement in the number of projects funded, a 66% improvement in the number of women served and a 132% improvement in the total benefit achieved. In the second case, we apply the hybrid approach to data from the US government’s largest forest preservation programme and demonstrate that the hybrid approach could allow the programme to select up to 11 top-scoring projects while still achieving a 97% gain in the total overall benefit compared to their traditional method. These case studies show that the hybrid approach has the potential to be applied in a variety of settings and improve how foundations and programmes achieve their goals.     

A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com

Decision support models for satisfactory restaurants have attracted numerous researchers' attention. Many extant models do not consider the active, neutral and passive information in online reviews all at once. Moreover, they ignore the effect of interdependence among criteria on tourists' decision-making. To cover these defects, this study proposes a restaurant decision support model using social information for tourists on TripAdvisor.com. The model introduces fuzzy sets to denote online reviews and utilizes Bonferroni mean to consider interdependence among criteria. Furthermore, it uses a novel similarity measurement which can handle sparse data in fuzzy environments. To validate the model, we conduct a case study of TripAdvisor.com which compares the proposed model with four other models. The performance of each model is evaluated by the metric called the mean absolute error. The study shows that the proposed model can effectively support tourists' decision-making and it performs better than the other four models.