Article ID: | iaor20052880 |
Country: | United States |
Volume: | 1 |
Issue: | 2 |
Publication Date: | Jan 2001 |
Journal: | INFORMS Transactions on Education |
Authors: | Grossman Thomas A., Jr |
The business school management science course is suffering serious decline. The traditional model- and algorithm-based course fails to meet the needs of MBA programs and students. Poor student mathematical preparation is a reality, and is not an acceptable justification for poor teaching outcomes. Management science Ph.D.s are often poorly prepared to teach in a general management program, having more experience and interest in algorithms than management. The management science profession as a whole has focused its attention on algorithms and a narrow subset of management problems for which they are most applicable. In contrast, MBAs rarely encounter problems that are suitable for straightforward application of management science tools, living instead in a world where problems are ill-defined, data are scarce, time is short, politics is dominant, and rational ‘decision makers’ are non-existent. The root cause of the profession's failure to address these issues seems to be (in Russell Ackoff's words) a habit of professional introversion that caused the profession to be uninterested in what MBA's really do on the job and how management science can help them.