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MANAGEMENT AND ACCOUNTING WEB |
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Thorne, H.
and G. Gurd. 1999.
Activity-based costing: Improved
product costing or activity management? Advances
in Management Accounting (8): 173-194. Summary
by Dennis Tichio |
Introduction
Activity-based
costing (ABC) was first used to assign costs to products. It's main objective was to allocate overhead costs effectively. Along with the results of accurate product costing, it was argued that
ABC could also provide important information for managing costs.
ABC is more likely to
reach success in a one-dimensional model. The
problems and failures associated with ABC arise when an organization wants to
both improve product costing, and manage activities and processes
simultaneously. When trying to
obtain both dimensions of ABC, product costing and managing activities, the
goals and procedures often conflict.
ABC used for product
costing traces resources to cost objects. In
most instances the cost objects are the finished products. This dimension of ABC is helpful in determining prices, product sourcing,
and product design.
ABC used for managing
activities looks to identify the cost drivers and performance measures for
activities. By measuring and identifying these activity attributes,
management is able to identify wasted resources as well as maintain continual
improvement.
Conceptually both models appear to have significant benefits. However actual results show problems associated with ABC. ABC models have not provided the benefits necessary to outweigh the costs occurred in implementing the system. Occasionally the ABC model is not even completed. ABC failures have been attributed to the design of the system, as well as behavioral and organizational factors.
The main question
remains whether it is even possible to achieve both product costing and activity
management from an ABC model simultaneously. The two objectives require different types of information.
Product costing requires a large aggregation of activities to be cost
effective, and a limited number of activity drivers. Activity management requires disaggregated information about
activities and a full look at activity and cost drivers.
Combining the two approaches creates a large amount of complexity for the
product costing dimension. The
objectives also pose significant problems, where activity management strives for
continual improvement. Therefore
information for product costing is constantly changing.
To research the
questions stated in the paragraph above, the authors engaged in five case
studies regarding the implementation of an ABC system. The authors included the overview of the five case studies in a helpful
table, which is included with this summary. It describes the company, the authors’ involvement and the nature of
the data they were able to collect.
The initial goals of
the ABC implementation should be identified immediately. This will aid in the design of the system, the actual engagement of the
system, and how the system will ultimately be used.
Adjustments of the systems will be made in the final stages to ultimately
improve the cost/benefit relationship.
In this study the
five cases had differing goals of what they wanted their ABC system to achieve. All of the cases started out with a product costing objective. However, Cases A and C were only one-dimensional. Cases B, D, and E were two-dimensional models.
The first step used
to identify product costs was to first identify activity costs.
Information was obtained through interviews with management and
employees, and then general ledger amounts were traced or allocated to resource
drivers. Cases A and C needed to
allocate overhead costs only, because they were only interested in product
costing. The other three cases had
to analyze direct labor and overhead costs, because they were interested in
managing the overall business costs as well as product costs.
The information
obtained varied between the one- and two-dimensional models.
The one-dimensional models had fewer activities, which resulted in a
higher aggregation of costs. The
one-dimensional models also had fewer activity drivers.
The next step in the
analysis was assigning the activity costs to products.
Case A was successful in assigning the activity drivers to two products,
showing significant changes from the original costs assigned to these products.
However, major changes in management led to the abandonment of the
project.
Case C found it very
difficult and time consuming to identify product costs because of the high level
of aggregation. However, the
costing system was completed for the plant’s 240 products.
The costs showed changes from original costing system, but soon after
completion, the project was put on hold because of the high demand on the
plant’s resources.
The two-dimensional
cases found it very hard to allocate the many activity costs.
Therefore within an activity center they designated costs as primary or
support costs. The support costs
were then combined with the primary costs they were associated with to reduce
the overall amount of activity costs. The
cases still found it very difficult to assign these costs to the products.
Instead they tried using an input measure such as labor or machine hours.
Ultimately the three cases decided it was not beneficial to determine the
costs associated with the products because they would be constantly changing as
a result of the activity management perspective, and the amount of work involved
to properly assign costs was burdensome.
The amount of data
necessary for the dual approach is too detailed to try to allocate costs to
products. The dual approach also
requires the allocation of both labor and overhead, which provides too much
information to handle. The product
costing approach in one-dimensional models provides manageable information,
resulting in more success.
Activity management
involves identifying activity attributes, while assessing the costs, as well as
the qualitative dimensions of the attribute.
The three dual cases identified three attributes; value status,
primary/support activities, and business process.
The value status of activities was obtained through interviews.
In all cases value and non-value-added activities were identified.
In all three cases costs were broken down to primary and support
activities to help in the assignment of costs.
Activity costs were also identified to business processes.
The cases hoped to be able to reduce costs associated with the processes.
None of the cases were successful in regards to the business process
attribute.
All three cases
failed to identify a complete set of cost drivers and performance measures,
which is necessary to implement and maintain continual improvement.
The successful information obtained from activity management relate to
the value status and the primary and support activities identified.
The business process information is of little use.
From these case studies, it is perceived the large amount of detailed
information obtained was for analysis of costs and activities, rather than the
additional activity attribute information that is required.
Out of the five cases, only one proved to be successful even though it was eventually put on hold. The dual models found it much harder to provide information with regards to product costing. The two objectives conflicted with each other. However some aspects of the activity management objective provided useful information, mainly the knowledge of non-value-added activities. Overall the paper identified that the initial objectives of ABC may be hard to achieve. It may be easier to achieve a successful one-dimensional model, but there are still problems associated with all ABC systems. ABC systems must provide the end results that were set out for, while providing an efficient cost/benefit relationship.
Background of
Cases
|
Case |
Industry |
No. of Employees in Division |
|
|
|
A |
Plastics/metal fabrication |
200 |
Academic supervisor |
Observation |
|
B |
Defense systems and software |
500 |
Academic reviewer |
Interviews and observation |
|
C |
Automobile |
250 |
Academic observers |
Observation, access to all data |
|
D |
Automobile components |
200 |
Consultants |
Observation, access to all data and reports |
|
E |
Heavy engineering/foundry |
150 |
Academic supervisors |
Observation, access to all data and reports |
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