评估信息系统功能质量和生产力的综合模型:迈向信息系统评估理论

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Information Resources Management Journal Pub Date : 1997-01-01 DOI:10.4018/IRMJ.1997010101
Barry L. Myers, Leon A. Kappelman, V. Prybutok
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引用次数: 467

摘要

信息系统信息系统经理在越来越大的压力下证明信息系统支出对组织的生产力、质量和竞争力的价值和贡献。本文考察了信息系统评估的必要性,并建议以现有的信息系统评估理论为基础,结合其他学科的测量概念,建立一个与组织绩效相关的综合信息系统评估框架。现有的信息系统成功模型进行了更新,以包括服务质量和工作组影响等新兴的信息系统成功维度,并提供了组织信息系统成功的各种措施的综合方法。此外,本文还提出了许多最新研究的新措施,以补充以往研究提供的清单。建议进一步开展研究,以进一步完善信息系统评估权变理论。这种理论有可能通过提供反馈来管理和改进信息系统功能,以更好地满足组织的需求,从而促进信息系统功能和更大组织的质量和生产力。
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A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function: Toward a Theory for Information Systems Assessment
Information Systems IS managers are under increasing pressure to justify the value and contribution of IS expenditures to the productivity, quality, and competitiveness of the organization. This paper examines the need for IS assessment and suggests a comprehensive IS assessment framework linked to organizational performance using existing IS assessment theory as a base and incorporating measurement concepts from other disciplines. The existing models of IS success are updated to include the emerging IS success dimensions of service quality and work group impact and provide a comprehensive method for organizing the various measures of IS success. In addition, many new measures from recent research are presented to supplement the lists supplied by previous research. Additional research is suggested to advance the IS assessment contingency theory. Such a theory has the potential to contribute to the quality and productivity of the IS function and the larger organization by providing feedback to manage and improve the IS function to better meet the needs of the organization.
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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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