The Effect of Different Forms of Accounting Feedback, Cost Aggregation and Pricing Knowledge on Profitability and Profit Estimation
Description: This study extends a research stream calling for further research regarding pricing and accounting feedback. Marketing executives rely heavily on accounting information for pricing decisions, yet criticize accounting feedback usefulness. To address this criticism, this research integrates the cognitive psychology and accounting literature addressing feedback effectiveness with pricing research in the marketing discipline. The research extends the scope of previous accounting feedback studies by using a control group and comparing two proxies of subject task knowledge; years of pricing experience and a measure of the cognitive structure of pricing knowledge. In addition, this research manipulates task complexity by using two different accounting systems. These systems vary in the number of cost pools used in allocating overhead, resulting in differentially projected cost and profit information. A total of 60 subjects participated in a computer laboratory experiment. These subjects were non-accountants with varying amounts of pricing knowledge. Subjects were randomly assigned to six experimental groups which varied by feedback type (no accounting feedback, outcome feedback only, or a combination of outcome and task properties feedback) and task complexity (high or low number of overhead cost pools). The subjects attempted to (1) maximize profits for a product during 15 rounds of pricing decisions, and (2) accurately estimate their profit for each round. The experimental results indicate no difference in performance between the three feedback types examined. However, increases in both subjects' pricing knowledge and the number of cost pools do influence feedback effectiveness. This study suggests that the amount of the users' task knowledge may influence the effectiveness of current accounting reports. In addition, increasing the number of cost pools in accounting systems may be beneficial for all users.
Date: May 1997
Creator: Smith, David M., 1961-
Partner: UNT Libraries