Strategy Mapping: An Interventionist Examination of a Homebuilder's Performance Measurement and Incentive Systems
- Kenneth Merchant, Deloitte & Touche LLP Chair of Accountancy, University of Southern California, USA
- Clara Chen, Assistant Professor of Accountancy, University of Illinois at Urbana-Champaign, USA
Management Accountants developing business models must consider this question, especially if they are taking the popular "balanced scorecard" or "strategy mapping" approaches to performance measurement. When doing so, stating cause-and-effect relationships between measurable factors like satisfaction and profitability is common practice. However, few companies test their own hypotheses. If the links are incorrect, these models can actually guide the firm down a path to failure.
This report reveals the findings of state-of-the-art interventionist research on a major US homebuilder. The core claims of this company’s business model were positive effects in the future due to improvements in customer and employee satisfaction. Tests were made on the validity of these claims to discover how much we can rely on these factors to improve performance. This report also examines how effective various measurement alternatives are through analysis of data compiled by different consulting companies.
The results reveal that the links between satisfaction and performance is less strong and more complex than the company had assumed: these measures cannot be relied upon to guarantee increased performance. Managers must have a sophisticated understanding of performance measurement systems and to test their strategy maps empirically, rather than relying on their intuitions. This report demonstrates how you can achieve both.
Primary: Academics and researchers in the field of Management Accounting; Secondary: Managers and Management Accountants developing business models.
- Published: January 2010
- Imprint: CIMA PUBLISHING
- ISBN: 978-0-08-096594-9
Table of Contents
1. Introduction; 2. Background; 3. Research Methodology; 4. Results; 5. Conclusions and Recommendations