DQ Tags and Decision-Making

There has been some evidence that decision outcomes can be impacted by providing metadata about the quality of the data used in a decision, but there is no agreement on the specific context in which such impact is observed. Furthermore, there has been little emphasis on the semantics and usability of such metadata in research to date, with consequent implications for experimental soundness. In this paper, we describe how these issues are addressed through the novel application, respectively, of the information quality framework InfoQual and the interaction design technique of contextual inquiry to the experimental design. In distinct contrast to previous studies, there was evidence that including data quality metadata can significantly increase decision time and may reduce consensus even though decision choice is not changed.

[1]  Graeme G. Shanks,et al.  Data Quality Tags and Decision-making: Improving the Design and Validity of Experimental Studies , 2008, CDM.

[2]  H. Russell Bernard,et al.  Social Research Methods: Qualitative and Quantitative Approaches , 2000 .

[3]  Adir Even,et al.  Enhancing Decision Making with Process Metadata: Theoretical Framework, Research Tool, and Exploratory Examination , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[4]  W. Neuman,et al.  Social Research Methods: Qualitative and Quantitative Approaches , 2002 .

[5]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[6]  Neuman Social Research Methods , 2007 .

[7]  Graeme G. Shanks,et al.  A semiotic information quality framework: development and comparative analysis , 2005, J. Inf. Technol..

[8]  Julie Pallant,et al.  SPSS survival manual : a step by step guide to data analysis using SPSS for Windows , 2001, Behaviour Change.

[9]  Karen Holtzblatt,et al.  Rapid Contextual Design: A How-To Guide to Key Techniques for User-Centered Design , 2004, UBIQ.

[10]  Leyland F. Pitt,et al.  Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and Generation , 2002, Inf. Syst. Res..

[11]  Karen Holtzblatt,et al.  Contextual design , 1997, INTR.

[12]  John W. Payne,et al.  The adaptive decision maker: Name index , 1993 .

[13]  Barbara Wixom,et al.  Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing , 2005, J. Manag. Inf. Syst..

[14]  Graeme G. Shanks,et al.  Developing a Measurement Instrument for Subjective Aspects of Information Quality , 2008, Commun. Assoc. Inf. Syst..

[15]  InduShobha N. Chengalur-Smith,et al.  The Impact of Data Quality Information on Decision Making: An Exploratory Analysis , 1999, IEEE Trans. Knowl. Data Eng..

[16]  InduShobha N. Chengalur-Smith,et al.  The Impact of Experience and Time on the Use of Data Quality Information in Decision Making , 2003, Inf. Syst. Res..

[17]  Elizabeth Tansley,et al.  Data quality tagging and decision outcomes: an experimental study , 2002 .