The REA Accounting Model: Intellectual Heritage and Prospects for Progress

Researchers often equate database accounting models in general and the Resources-Events-Agents (REA) accounting model in particular with events accounting as proposed by Sorter (1969). In fact, REA accounting, database accounting, and events accounting are very different. Because REA accounting has become a popular topic in AIS research, it is important to agree on exactly what is meant by certain ideas, both in concept and in historical origin. This article clarifies the intellectual heritage of the REA accounting model and highlights the differences between the terms events accounting, database accounting, semantically-modeled accounting, and REA accounting. It also discusses potentially productive directions for

[1]  Stewart A. Leech Discussion of Integrating Accounting and Manufacturing Information Systems: An ABC and REA-Based Approach , 1997 .

[2]  Salvatore T. March,et al.  Design and natural science research on information technology , 1995, Decis. Support Syst..

[3]  Julia Smith David An empirical analysis of rea accounting systems, productivity, and perceptions of competitive advantage , 1995 .

[4]  The New Finance: New Technology Is Challenging the Accounting Profession to Redefine Itself , 1994 .

[5]  J. Zimmerman Accounting for Decision Making and Control , 1994 .

[6]  Peter B. Seddon,et al.  A Partial Test and Development of the DeLone and McLean Model of IS Success , 1994, ICIS.

[7]  Eric L. Denna,et al.  Event-Driven Business Solutions: Implementation Experiences and Issues , 1993, ICIS.

[8]  Casper E. Wiggins,et al.  Object-oriented modeling approaches for designing accounting information systems , 1993 .

[9]  Stephen Raymond Rockwell The conceptual modeling and automated use of reconstructive accounting domain knowledge , 1992 .

[10]  Bernard C Williams,et al.  IT and accounting : the impact of information technology , 1991 .

[11]  Peter B. Seddon,et al.  An architecture for computer-based accounting information systems , 1991 .

[12]  George H. Sorter,et al.  Financial Accounting: An Events and Cash Flow Approach , 1990 .

[13]  Barry E. Cushing,et al.  A KUHNIAN INTERPRETATION OF THE HISTORICAL EVOLUTION OF ACCOUNTING , 1989 .

[14]  David A. Bradbard,et al.  The Effects of Relational and Entity-Relationship Data Models on Query Performance of End Users , 1989, Int. J. Man Mach. Stud..

[15]  Eric L. Denna,et al.  An events accounting foundation for DSS implementation , 1987 .

[16]  Ewing L. Lusk,et al.  The Design of Entity-Relationship Models for General Ledger Systems , 1985, Data Knowl. Eng..

[17]  Howard MacKay Armitage Linking management accounting systems with computer technology , 1985 .

[18]  John McCarthy,et al.  SOME PHILOSOPHICAL PROBLEMS FROM THE STANDPOINT OF ARTI CIAL INTELLIGENCE , 1987 .

[19]  W. J. Schrader,et al.  Financial Accounting: An Events Approach , 1981 .

[20]  William E. McCarthy,et al.  Declarative and Procedural Features of a CODASYL Accounting System , 1981, ER.

[21]  William E. McCarthy,et al.  A relational model for events-based accounting systems , 1978 .

[22]  Diane C. P. Smith,et al.  Database abstractions: aggregation and generalization , 1977, TODS.

[23]  Allen Newell,et al.  Computer science as empirical inquiry: symbols and search , 1976, CACM.

[24]  Y. Ijiri,et al.  Theory Of Accounting Measurement , 1976 .

[25]  Laurian M. Chirica,et al.  The entity-relationship model: toward a unified view of data , 1975, SIGF.

[26]  Andrew B. Whinston,et al.  A UNIFIED APPROACH TO THE THEORY OF ACCOUNTING AND INFORMATION SYSTEMS. , 1970 .

[27]  井尻 雄士,et al.  The foundations of accounting measurement : a mathematical, economic, and Behavioral inquiry , 1967 .

[28]  Y. Ijiri,et al.  Accounting and Analytical Methods. , 1966 .

[29]  Eugen Schmalenbach,et al.  Pretiale Lenkung des Betriebes , 1948 .