{"title":"信息服务质量差距模型探索","authors":"William J. Kettinger, Choong-C. Lee","doi":"10.4018/IRMJ.1995070101","DOIUrl":null,"url":null,"abstract":"Due to the growth of end-user computing, information technology IT decentralization and alternative sources of supply, the information systems IS function now serves customers that possess substantial discretion in their use and purchase of IS services. To continue to effectively deliver systems and services that IS customers perceive valuable, IS management must become expert in determining and assessing IS customers' expectations and perceptions. One important source of guidance in such a market-driven environment is to look to the service marketing and operations literature for frameworks that may permit IS to more effectively determine and convey customer value of IS services and IT. This paper outlines IS service quality improvement as a means to cope with this customer-driven IS environment. Specifically, it adapts a widely accepted conceptual \"gap\" model from the marketing field as a framework for IS service quality management. This model has as its premise that service quality improvement is a continual process of determining and comparing customer expectations and perceptions and, then, modifying products and services based on the results of this assessment. Applications of this model in both research and practice are discussed.","PeriodicalId":44735,"journal":{"name":"Information Resources Management Journal","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"1995-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"44","resultStr":"{\"title\":\"Exploring a Gap Model of Information Services Quality\",\"authors\":\"William J. Kettinger, Choong-C. Lee\",\"doi\":\"10.4018/IRMJ.1995070101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the growth of end-user computing, information technology IT decentralization and alternative sources of supply, the information systems IS function now serves customers that possess substantial discretion in their use and purchase of IS services. To continue to effectively deliver systems and services that IS customers perceive valuable, IS management must become expert in determining and assessing IS customers' expectations and perceptions. One important source of guidance in such a market-driven environment is to look to the service marketing and operations literature for frameworks that may permit IS to more effectively determine and convey customer value of IS services and IT. This paper outlines IS service quality improvement as a means to cope with this customer-driven IS environment. Specifically, it adapts a widely accepted conceptual \\\"gap\\\" model from the marketing field as a framework for IS service quality management. This model has as its premise that service quality improvement is a continual process of determining and comparing customer expectations and perceptions and, then, modifying products and services based on the results of this assessment. Applications of this model in both research and practice are discussed.\",\"PeriodicalId\":44735,\"journal\":{\"name\":\"Information Resources Management Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"1995-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"44\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Resources Management Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IRMJ.1995070101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Resources Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IRMJ.1995070101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Exploring a Gap Model of Information Services Quality
Due to the growth of end-user computing, information technology IT decentralization and alternative sources of supply, the information systems IS function now serves customers that possess substantial discretion in their use and purchase of IS services. To continue to effectively deliver systems and services that IS customers perceive valuable, IS management must become expert in determining and assessing IS customers' expectations and perceptions. One important source of guidance in such a market-driven environment is to look to the service marketing and operations literature for frameworks that may permit IS to more effectively determine and convey customer value of IS services and IT. This paper outlines IS service quality improvement as a means to cope with this customer-driven IS environment. Specifically, it adapts a widely accepted conceptual "gap" model from the marketing field as a framework for IS service quality management. This model has as its premise that service quality improvement is a continual process of determining and comparing customer expectations and perceptions and, then, modifying products and services based on the results of this assessment. Applications of this model in both research and practice are discussed.
期刊介绍:
Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management