The article focuses on some designs of multidimensional accounting system. An accounting system is viewed as a structured database capable of supporting a class of queries or requests for data. These queries could be specific requests for data, such as the current balance of an account or the value of an inventory item, or more complicated requests, such as a profit and loss statement or a balance sheet. The traditional accounting system is oriented toward financial reports and therefore, only financial data are stored. Information on an hourly wage earner, such as number of parts produced on a given day, the average number of defects or the value added to the part, normally is not stored with the accounting data. By storing the value added information, an employee can be evaluated on terms of wage times hours versus the value added to the product. Authors' contention is that an accounting system can be viewed as an information system that supports a specific class of queries. The paper presents a process for designing a common data structure, which will support the given set of queries.

Journal Article Welfare Economics and the Theory of Second Best Get access Otto A. Davis, Otto A. Davis Carnegie Institute of Technology Search for other works by this author on: Oxford Academic Google Scholar Andrew B. Whinston Andrew B. Whinston University of Virginia Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 32, Issue 1, January 1965, Pages 1–14, https://doi.org/10.2307/2296327 Published: 01 January 1965

The primary objective of this paper is to review the extant literature concerning auditing and EDP systems. We trace the flow of EDP-auditing development, note salient points of similarity and difference in techniques and relate these issues to the auditors' professional responsibilities. We hope that this will contribute to efficient consideration of the past literature by those developing an interest in auditing-EDP systems. We also hope that it will encourage efficient progress in the effort to develop new EDP-auditing research. With this in mind, we have included a short section on new approaches to EDP-auditing which presents information on systems design involvement, software standardization and formal system assertions.

Journal Article Resource Allocation in a Non-convex Economy Get access James C. Moore, James C. Moore Purdue University Search for other works by this author on: Oxford Academic Google Scholar Andrew B. Whinston, Andrew B. Whinston Purdue University Search for other works by this author on: Oxford Academic Google Scholar Joseph S. Wu Joseph S. Wu Purdue University Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 39, Issue 3, July 1972, Pages 303–323, https://doi.org/10.2307/2296361 Published: 01 July 1972 Article history Received: 01 April 1971 Revision received: 01 November 1971 Published: 01 July 1972

[Auditors are charged with the responsibility of evaluating internal control systems. Recent advances in decision support systems indicate that the speed, accuracy, and memory capacity of computers may be used to aid auditors in this task. To test this proposition, a computer-assisted method of designing, analyzing, and evaluating internal control systems, called The Internal Control Model or TICOM, was designed and implemented. The technical manual and the TICOM software are available from the authors. This paper presents the results and conclusions of that project. TICOM is a computer-based analytic tool that aids the auditor first to model the internal control system and then to query the model in order to aid the auditor in evaluating the internal control system. TICOM is based on concepts in artificial intelligence such as knowledge representation and graph simplification. It serves (1) to describe office information systems while emphasizing internal accounting controls and (2) as an aid in control evaluation. It was found that the advantages of TICOM over traditional evaluation methods are that (1) the evaluation can be more rigorous and exhaustive, (2) the documentation of the system can be more thorough because of automated completeness and consistency tests, and (3) the modeler may probe and test controls by using the query-processing portion of TICOM.]

Since my recent article, which cast considerable doubt on the statistical estimation approach to the derivation of cost functions, I have been expecting a comment from proponents of that approach. Instead, I am pleasantly surprised to be replying to disciples of the process analysis approach. J. R. Marsden, D. E. Pingry, and A. Whinston (MPW) feel that a linear programming application of process analysis to petroleum refining has basically the same disadvantages as the statistical cost function technique, but that these could be overcome with the adoption of their particular approach. They propose a more general formulation utilizing non-linear programming techniques and allowing for nonconvex production technologies. Let us begin by considering their four objections to my application of process analysis to petroleunm refining. First, MPW assert that the test of the classical cost function assumptions (i.e., marginal costs slope upward and average costs are U-shaped) was not really a test at all but proceeded directly from the convexity assumptions of the linear programming model of the refinery. Certainly, the fixed capital process constraints imply a finite output and a rising marginal cost curve, but the relevant question is over what output range do marginal costs rise. MPW apparently feel that because of the convexity assumption marginal costs must necessarily rise over a broad output range. To demonstrate the error in their assertion, one need only examine some output range from b74) to b(n+l) over which the basis x* does not change. Since the basis is unchanged, the dual solution vector y* will similarly not change, thereby proving that short-run marginal costs (given by the jth element of y*) are constant over the given output range. As an example, Figure 1 of my paper illustrates a case where a basis change did not occur over the output range 8.4 to 8.9 MMB/D and marginal costs are constant. Furthermore, the dots in Figure 1, indicating basis changes, suggest that even after basis changes, marginal costs need not necessarily increase as the basis changes. Therefore, under this standard linear programming problem where the production processes are convex, short-run marginal costs can either rise in a step-wise manner or remain horizontal over the output range up to the full utilization of the capital stock at which point marginal costs become vertical. Either rising short-run marginal costs or an inverted L-shaped short-run marginal cost can be obtained assuming a standard convex production technology. Since the same result may be found in statistical cost studies (i.e., constant short-run marginal costs over the observed output range), the results in both Figures 1 and 2 indicating a rising marginal cost function over a broad output range certainly do not follow from the convexitv assumptions as MPW assert. Secondly, MPW are apparently disturbed because the short-run marginal cost function as drawn in Figure 1 does not change in a step function manner. They argue that the use of parametric programming would have revealed these steps and other useful information regarding capacity limitations. Contrary to MPW's assertion, parametric programming with UNIVAC's Omega package was utilized which reports the activities entering and exiting the basis at each basis change. As indicated in footnote 10, page 49, the particular parametrics option chosen does not report the complete solution vector at each basis change within the 6 increment to the output constraint bj, but rather reports the solution values for the first basis change * Department of economics, University of Pennsylvania and the University of Houston.

Auditors are charged with the responsibility of evaluating internal control systems. Recent advances in decision support systems indicate that the speed, accuracy, and memory capacity of computers may be used to aid auditors in this task. To test this proposition, a computer-assisted method of designing, analyzing, and evaluating internal control systems, called The Internal Control Model or TICOM, was designed and implemented. The technical manual and the TICOM software are available from the authors. This paper presents the results and conclusions of that project. TICOM is a computer-based analytic tool that aids the auditor first to model the internal control system and then to query the model in order to aid the auditor in evaluating the internal control system. TICOM is based on concepts in artificial intelligence such as knowledge representation and graph simplification. It serves (1) to describe office information systems while emphasizing internal accounting controls and (2) as an aid in control evaluation. It was found that the advantages of TICOM over traditional evaluation methods are that (1) the evaluation can be more rigorous and exhaustive, (2) the documentation of the system can be more thorough because of automated completeness and consistency tests, and (3) the modeler may probe and test controls by using the query-processing portion of TICOM.