A model of tourism advertising effects

This study develops the AIEDA tourism advertising effects model and examines this model by tourism destination types and advertising formats in a field experiment. The AIEDA model extends the traditional AIDA model in the advertising field and additionally considers the unique features of tourism products. It includes five hierarchical stages: Attention→ Interest→Evaluation (Perceived Usefulness→ Perceived Credibility) → Desire →Action. Findings of experimental research indicate that destination type and advertising format have main effects and interaction effects on tourism advertising effects. In addition, this study discovered that, for natural and cultural destinations, video ads yielded similar or more positive advertising effects than virtual reality ads, whereas print was the least effective advertising format.     

Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

Virtual reality and mixed reality for second chance tourism

The deterioration of attractions, landmarks, artefacts and destinations is a critical issue facing tourism across the world. The closure of tourism sites and attractions is increasingly more common due to the difficulty and expense of managing preservation with onsite tourism engagement. However, the closure or destruction of tourism sites presents challenges for tourism development. The inability to foster meaningful visitor engagement at sites has implications for the local communities. This paper aims to explore the efficacy of creating tourism experiences in destinations and sites that have succumbed to over-tourism, resultant deterioration and even, destruction. To achieve this objective, the paper introduces the concept of second chance tourism and the role of innovative preservation methods such as virtual and mixed reality. Based on the proposed framework, the collation of data will provide indications on site preservation and impact mitigation via a second chance to reduce pressure on inherently fragile destinations.     

Software for Learning and for Doing Statistics

The community of statisticians and statistics educators should take responsibility for the evaluation and improvement of software quality from the perspective of education. The paper will develop a perspective, an ideal system of requirements to critically evaluate existing software and to produce future software more adequate both for learning and doing statistics in introductory courses. Different kinds of tools and microworlds are needed. After discussing general requirements for such programs, a prototypical ideal software system will be presented in detail. It will be illustrated how such a system could be used to construct learning environments and to support elementary data analysis with exploratory working style.     

黑龙江省医药销售企业现代化管理刍议

黑龙江省各医药销售企业规模日益扩大,伴随着信息技术在各行各业日益深入的应用,传统的手工记账已经不能满足日益增加的业务量的需要及进行有效控制和管理的需要.因此,应用现代财务软件已经势在必行.     

高新技术产业项目的绩效管理——基于软件项目管理的实证研究

针对高新技术产业广泛采用项目驱动的管理模式,在理论分析和实地调查的基础上,实证研究了客户、项目经理和激励制度对项目业绩的影响。结果发现客户对定制化需求大,但对标准化软件却有更高的边际利润;政府机构是大客户,但其垄断地位,所带来的销售利润率和项目交付率并不高;地域商务环境影响交易成本,进而显著地影响了项目的业绩水平;项目业绩受项目经理激励程度和方式的影响,但与项目经理认知特征无显著关系。这些结论说明软件企业在制定战略时,需以定制产品和定制服务为起点,但最终必须研发成为具有行业特点的标准化应用软件;在资源分配时,应重点关注地域商务环境好的客户,适当提高非政府机构行业客户的资源分配比例;应健全项目经理激励制度,促使项目提前完工,从而降低开发成本,增加项目业绩。     

论软件能力成熟度模型CMM

CMM模型是目前国际上最流行和最实用的一种软件生产过程标准。实施CMM,是软件企业实现软件开发的标准化,提高软件生产效率的必要条件。     

第三方物流企业管理信息系统的结构设计与开发

本文分析了第三方物流企业的经营特点，提出了比较适合于当前和第三物流企业发展的管理信息系统结构图，并在此基础上构建了系统的软件和网络结构，最后提出了系统的数据库设计方案。     

基于价值工程的项目团队人员配置的构件化管理

根据软件工程中软件开发模块构件化与项目管理中项目职能分解的相似性,把构件化方法引入到项目团队人员配置中,按照项目职能的构件并灌以价值最大化的思想来进行项目团队人员的选择方面的应用,并为企业建立项目人员配置构件化的管理体系,来实现满足人力配置需要,降低费用,长期改进发展的目的。