Exploring a Gap Model of Information Services Quality

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Information Resources Management Journal Pub Date : 1995-07-01 DOI:10.4018/IRMJ.1995070101
William J. Kettinger, Choong-C. Lee
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引用次数: 44

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.
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信息服务质量差距模型探索
由于终端用户计算、信息技术信息技术分权和替代供应来源的增长,信息系统的信息系统功能现在为在使用和购买信息系统服务方面拥有大量自由裁量权的客户提供服务。为了继续有效地交付信息系统客户认为有价值的系统和服务,信息系统管理必须成为确定和评估信息系统客户期望和看法的专家。在这种市场驱动的环境中,一个重要的指导来源是查阅服务营销和运营文献,寻找框架,这些框架可能允许信息系统更有效地确定和传达信息系统服务和IT的客户价值。本文概述了信息系统服务质量的改进,作为一种手段,以应付这种客户驱动的信息系统环境。具体来说,它采用了市场营销领域广泛接受的概念“差距”模型作为信息系统服务质量管理的框架。该模型的前提是,服务质量改进是一个持续的过程,即确定和比较客户的期望和看法,然后根据评估结果修改产品和服务。讨论了该模型在研究和实践中的应用。
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
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
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