Auditor efficiency and effectiveness with diagrammatic and linguistic conceptual model representations

Cheryl L Dunn1, Gregory J Gerard1
1Department of Accounting, College of Business, Florida State University, Mail Code 1110, Tallahassee, FL 32306-1110, USA

Tài liệu tham khảo

Agarwal, 1996, Cognitive fit in requirements modeling: a study of object and process methodologies, J Manage Inf Syst, 13, 137, 10.1080/07421222.1996.11518126 Amer, 1993, Entity–relationship and relational database modeling representations for the audit review of accounting applications: an experimental examination of effectiveness, J Inf Syst, 7, 1 Batini, 1992 Batra, 1994, Effects of data model and task characteristics on designer performance: a laboratory study, Int J Hum–Comput Stud, 41, 481, 10.1006/ijhc.1994.1070 Batra, 1990, Comparing representations with relational and EER models, Commun ACM, 33, 126, 10.1145/75577.75579 Chan, 1993, User–database interface: the effect of abstraction levels on query performance, MIS Q, 17, 441, 10.2307/249587 Chen, 1976, The entity–relationship model — toward a unified view of data, ACM Trans Database Syst, 1, 9, 10.1145/320434.320440 Davis, 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Q, 13, 319, 10.2307/249008 Dennis, 1998, Using geographical information systems for decision making: extending cognitive fit theory to map-based presentations, Inf Syst Res, 9, 194, 10.1287/isre.9.2.194 Dunn, 2001, An investigation of localization as an element of cognitive fit in accounting model representations, Decis Sci, 32, 55, 10.1111/j.1540-5915.2001.tb00953.x Geerts, 1991, Database accounting systems, 159 Howe D. Free on-line dictionary of computing. Imperial College Department of Computing, University of London, 1993. http://www.foldoc.org. Jih, 1989, The effects of relational and entity–relationship data models on query performance of end users, Int J Man–Mach Stud, 31, 257, 10.1016/0020-7373(89)90007-2 Larkin, 1987, Why a diagram is (sometimes) worth ten thousand words, Cognit Sci, 11, 65, 10.1111/j.1551-6708.1987.tb00863.x McCarthy, 1979, An entity–relationship view of accounting models, Accounting Rev, 54, 667 McCarthy, 1982, The REA accounting model: a generalized framework for accounting systems in a shared data environment, Accounting Rev, 57, 554 MICRA. An electronic field-marked version of: Webster's Revised Unabridged Dictionary (version published 1913 by the C&G Merriam, Springfield, MA). Plainfield, NJ: MICRA, 1998. http://www.micra.com. 1960, vol. 3, 299 Nijssen, 1989 1997 Rob, 2000 Scaife, 1996, External cognition: how do graphical representations work?, Int J Hum–Comput Stud, 45, 185, 10.1006/ijhc.1996.0048 Seddon, 1994, 99 Seddon, 1992, An empirical evaluation of user information satisfaction (UIS) measures for use with general ledger accounting software, J Inf Syst, 6, 75 Sinha, 1992, Cognitive fit: an empirical study of recursion and iteration, IEEE Trans Software Eng, 18, 368, 10.1109/32.135770 Sinha, 1999, 229 Smelcer, 1997, The effectiveness of different representations for managerial problem solving: comparing tables and maps, Decis Sci, 28, 391, 10.1111/j.1540-5915.1997.tb01316.x Umanath, 1994, Multiattribute data presentation and human judgment: a cognitive fit perspective, Decis Sci, 25, 795, 10.1111/j.1540-5915.1994.tb01870.x Vessey, 1991, Cognitive fit: a theory-based analysis of the graph versus tables literature, Decis Sci, 22, 219, 10.1111/j.1540-5915.1991.tb00344.x Vessey, 1994, The effect of information presentation on decision making: a cost–benefit analysis, Inf Manage, 27, 103, 10.1016/0378-7206(94)90010-8 Vessey, 1994, Requirements specification: learning object, process, and data methodologies, Commun ACM, 37, 102, 10.1145/175290.175305 Vessey, 1991, Cognitive fit: an empirical study of information acquisition, Inf Syst Res, 2, 63, 10.1287/isre.2.1.63