Influence of Hotel Information System Quality on System Use and User Satisfaction

ABSTRACT

By applying DeLone and McLean's Updated D&M IS Success Model, this study seeks to understand the influence of information system quality on the intention to use the system and user satisfaction within the context of HIS. Data used for the study were obtained from a survey that focuses on hotel employees' evaluation of HIS quality and their intention to use and satisfaction with the system. The results indicate that information system success measures can be meaningfully explained by HIS quality. Service quality that often represents support from information service providers within an organization, among the three aspects of HIS quality considered, has a significant positive influence on users' intention to use HIS and their satisfaction with the system, given the consideration of users' demographic characteristics, career, and the level of work reliance on HIS. Practical and theoretical insights of the findings are addressed.     

基于《旅游学刊》关键词计量分析的旅游学科创新力及知识体系构建

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浅析创新型档案管理

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用于通信系统的干扰对消电路设计与实现

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CAFTA-DR Effects on FDI Inflows,Growth, and Distribution of the Workforce in Costa Rica: A System Dynamics Approach

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Early-warning analysis for currency crises in emerging markets: A revisit with fuzzy clustering

Currency crises, also often called balance-of-payment crises, occur when massive capital outflows force a country to devalue or float its currency. The world-wide integration of capital markets since the 1980s and 1990s has increased the degree of capital mobility, which also determined a substantial turbulence in foreign exchange markets and frequent currency crises. In this paper, we explore advanced supporting instruments for predicting currency crises, based on an empirical study of the currency crisis episodes in 23 emerging markets around the world during the second half of last century. More specifically, we investigate the usefulness of prediction models built based on the fuzzy c-means method. First we build clustering models that partition data into a certain number of overlapping natural groups. Thereafter, we classify the data clusters into early-warning clusters and tranquil clusters. We compare the performance of our models with a conventional c-means clustering model and a benchmark probit model. The results show that the proposed models achieve a similar level of out-of-sample performance as the probit model and c-means model. The fuzzy approach also introduces additional explanatory advantages into the early-warning analysis process. Copyright © 2010 John Wiley & Sons, Ltd.     

基于教务管理平台的专业分流应用系统的设计与实现

专业分流是高校教务管理工作中一项重要的、具有复杂性的工作,随着高校招生规模的不断扩大,依靠传统手工的方式完成分流工作已不能够适应新形势下对专业分流的要求,设计开发一套基于教务管理平台的专业分流系统软件是非常有必要的。本系统采用分层设计思想、应用struts2开发框架,实现网上专业志愿填报、成绩计算、志愿成绩排名、专业分流录取等功能。本文给出了专业分流系统的设计和关键代码实现。     

构建高等职业教育教学信息收集体系

本文介绍了西安航空职业技术学院教学信息收集体系的具体操作办法,阐述了建立这一体系对人才培养质量的提高起到了积极作用。     

浅析公路经营企业与现代企业制度

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