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The Effects of Normalisation on Data Input Satisfaction of Novice End-Users.

, , , and . Australian Computer Journal, 29 (3): 111-116 (1997)

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Analysis of Competing Data Structures: Does Ontological Clarity Produce Better End-User Query Performance?, , and . ICIS, page 141-156. Association for Information Systems, (2004)An Empirical Analysis of the Effect of Criticality, Complexity and Organisational Influence on Software Reliability., , and . Australasian J. of Inf. Systems, (2000)A Case Study Of The Reliability Of Business Information Systems., , and . PACIS, page 67. AISeL, (1997)A Model for and the Effects of Information Request Ambiguity on End-user Query Performance., , and . ICIS, page 537-542. Association for Information Systems, (2001)How Does Your Model Grow? An Empirical Investigation of the Effects of Ontological Clarity and Application Domain Size on Query Performance., , and . ICIS, page 77-90. Association for Information Systems, (2004)The Effects of Normalisation on Data Input Satisfaction of Novice End-Users., , , and . Australian Computer Journal, 29 (3): 111-116 (1997)Reliability factors in business software: volatility, requirements and end-users., , and . Inf. Syst. J., 12 (3): 185-214 (2002)An Empirical Investigation of End-User Query Development: The Effects of Improved Model Expressiveness vs. Complexity., , and . Information Systems Research, 20 (4): 565-584 (2009)Continuously Improving Data Quality in Persistent Databases., , and . Data Quality Journal, (1998)Improving New Users' Query Performance: Deterring Premature Stopping of Query Revision with Information for Forming Ex Ante Expectations., , , and . J. Data and Information Quality, 3 (4): 7:1-7:22 (2012)