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Time‐Driven Activity‐Based Costing
Abstract
In the classroom, activity-based costing (ABC) looks like a great way to manage a company's limited resources. But executives who have tried to implement ABC in their organizations on any significant scale have often abandoned the attempt in the face of rising costs and employee irritation. They should try again, because a new approach sidesteps the difficulties associated with large-scale ABC implementation. In the revised model, managers estimate the resource demands imposed by each transaction, product, or customer, rather than relying on time-consuming and costly employee surveys. This method is simpler since it requires, for each group of resources, estimates of only two parameters: how much it costs per time unit to supply resources to the business's activities (the total overhead expenditure of a department divided by the total number of minutes of employee time available) and how much time it takes to carry out one unit of each kind of activity (as estimated or observed by the manager). This approach also overcomes a serious technical problem associated with employee surveys: the fact that, when asked to estimate time spent on activities, employees invariably report percentages that add up to 100. Under the new system, managers take into account time that is idle or unused. Armed with the data, managers then construct time equations, a new feature that enables the model to reflect the complexity of real-world operations by showing how specific order, customer, and activity characteristics cause processing times to vary. This Tool Kit uses concrete examples to demonstrate how managers can obtain meaningful cost and profitability information, quickly and inexpensively. Rather than endlessly updating and maintaining ABC data,they can now spend their time addressing the deficiencies the model reveals: inefficient processes, unprofitable products and customers, and excess capacity.
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Citations
Cited by
Hoque, Z. (2014) · The British Accounting Review · doi:10.1016/j.bar.2013.10.003 · Cited by 490
Time-driven activity-based costing in health care: A systematic review of the literature
Keel, G., Savage, C., Rafiq, M., & Mazzocato, P. (2017) · Health Policy · doi:10.1016/j.healthpol.2017.04.013 · Cited by 451
Tai-Seale, M., Olson, C. W., Li, J., Chan, A. S., Morikawa, C., Durbin, M., Wang, W., & Luft, H. S. (2017) · Health Affairs · doi:10.1377/hlthaff.2016.0811 · Cited by 379
Does Distance Still Matter? Geographic Proximity and New Product Development
Ganesan, S., Malter, A. J., & Rindfleisch, A. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.44 · Cited by 339
In Search of Management Accounting Theory
Malmi, T., & Granlund, M. (2009) · European Accounting Review · doi:10.1080/09638180902863779 · Cited by 336
Metadata
- Venue
- Measuring Marketing
- Publisher
- Wiley
- Published
- 2012-01-02
- Volume
- 82
- Issue
- 11
- Pages
- 81-82
- OpenAlex
- W3122524612
- Cited by
- 819
- References
- 0
- Type
- other
- Language
- en
- Open access
- closed
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