Contextual factors influencing perceived importance and trade-offs of information quality

被引:0
|
作者
Fehrenbacher, Dennis Dominique [1 ,2 ,3 ]
Helfert, Markus [4 ]
机构
[1] Dublin City University, Ireland
[2] Reutlingen University, Germany
[3] Institute of Business Administration, University of Stuttgart, Germany
[4] School of Computing, Dublin City University, Ireland
来源
Communications of the Association for Information Systems | 2012年 / 30卷 / 01期
关键词
Information analysis - Economic and social effects;
D O I
10.17705/1cais.03008
中图分类号
学科分类号
摘要
With the ever-increasing importance of information quality (IQ), research focuses mainly on two approaches, criteria and assessment. Researchers developed a number of frameworks, criteria lists, and approaches for assessing and measuring IQ. Several studies confirm that IQ is a multi-criteria concept, and its evaluation should consider different aspects. However, research and discussions with practitioners indicate that assessing and managing IQ in organizations remains challenging. Despite the subjective character of quality, foremost frameworks and assessment methodologies do not often consider the context in which the assessment is performed. Trade-offs between criteria are often not considered in most frameworks despite strong evidence in the literature that suggests trade-off relations exist. Underlying a user-centric view, this study analyses the importance of selected contextual factors and their impact on IQ criteria. Empirical data are gathered using a questionnaire approach. Results suggest significant context impacts and show that the perceived importance of information quality criteria changed over the last decade. Information and communication technology, available resources, the user role, the department, and the type of information systems influence respondents’ perception of IQ. These factors are incorporated in a contextoriented IQ research framework. © 2012 by the Association for Information Systems.
引用
收藏
页码:111 / 126
相关论文
共 50 条
  • [41] Performance of Accountable Care Organizations: Health Information Technology and Quality-Efficiency Trade-Offs
    Bao, Chenzhang
    Bardhan, Indranil R.
    INFORMATION SYSTEMS RESEARCH, 2022, 33 (02) : 697 - 717
  • [42] Guaranteed Trade-Offs in Dynamic Information Flow Tracking Games
    Weininger, Maximilian
    Grover, Kush
    Misra, Shruti
    Kretinsky, Jan
    2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 3786 - 3793
  • [43] Energy-Information Trade-Offs between Movement and Sensing
    MacIver, Malcolm A.
    Patankar, Neelesh A.
    Shirgaonkar, Anup A.
    PLOS COMPUTATIONAL BIOLOGY, 2010, 6 (05) : 1 - 12
  • [44] Workarounds and trade-offs in information security-An exploratory study
    Woltjer R.
    Information and Computer Security, 2017, 25 (04) : 402 - 420
  • [45] Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
    Zhao, Han
    Chi, Jianfeng
    Tian, Yuan
    Gordon, Geoffrey J.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
  • [46] Trade-offs and the importance of separating science and values in environmental flow assessment
    Rosenfeld, Jordan S.
    Ptolemy, Ronald
    CANADIAN WATER RESOURCES JOURNAL, 2017, 42 (01) : 88 - 96
  • [47] Assessing the importance of maintaining soldiers' moral responsibility - Possible trade-offs
    Lev, Ori
    AMERICAN JOURNAL OF BIOETHICS, 2008, 8 (02): : 44 - 45
  • [48] Strategic Trade-Offs Between Quantity and Quality in Working Memory
    Fougnie, Daryl
    Cormiea, Sarah M.
    Kanabar, Anish
    Alvarez, George A.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2016, 42 (08) : 1231 - 1240
  • [49] QUALITY OF AFFORDABILITY - TRADE-OFFS FOR EARLY-CHILDHOOD PROGRAMS
    WILLER, B
    YOUNG CHILDREN, 1987, 42 (06): : 41 - 43
  • [50] TRADE-OFFS - QUANTIFYING QUALITY IN LIBRARY TECHNICAL-SERVICES
    MANDEL, CA
    JOURNAL OF ACADEMIC LIBRARIANSHIP, 1988, 14 (04): : 214 - 220