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358 Decision framing and cognitive inertia<br />

decline in its viewing figures over the past two years. There are several<br />

possible frames:<br />

(1) The program makers argue that a lack of funds to develop quality<br />

programs has led to the problem. To them, the courses of actions that<br />

need to be considered include reducing administrative overheads<br />

to free resources for programs, or increasing advertising rates to<br />

generate more funds.<br />

(2) In contrast, the station’s marketing managers blame a lack of investment<br />

in marketing. From their perspective, if they can obtain a larger<br />

budget, the key decision is: what is the best way to assign marketing<br />

funds to raise the profile of the station?<br />

(3) Finally, a media consultant argues that the decline has occurred<br />

because the station has lost touch with its target audience – young<br />

viewers. Its programs have failed to move with the times and now<br />

look staid and old fashioned. The key decision is how to change the<br />

character and mix of the programs and develop new ones.<br />

Frames are bound to be simplifications of real problems and each of<br />

them will only give a partial view of the decision problem. Difficulties can<br />

arise when a single frame is used unquestionably by managers, perhaps<br />

because of habit or professional specialism. This ‘frame blindness’ can<br />

lead to a failure to identify creative new solutions. It might also mean<br />

that a company continues to do business as it has always done – ignorant<br />

of the fact that its environment has fundamentally changed and that a<br />

complete rethink of its operations is required. We next discuss some<br />

problems that can arise because of decision frames and then suggest<br />

ways of avoiding these problems.<br />

From the 1940s to the 1970s US car manufacturers used mathematical<br />

methods to determine the optimum length of production runs of<br />

particular car models. Changing from the production of one model to<br />

another took time while machinery was set up or reconfigured. This<br />

changeover time, which was taken to be between 6 to 8 hours, led to a<br />

loss of production so frequent changes were undesirable. On the other<br />

hand, production runs that were too long led to high inventory levels<br />

and hence high inventory holding costs. The mathematical models were<br />

designed to identify the length of run which gave the best balance<br />

between the costs arising from lost production and the inventory costs.<br />

Japanese manufacturers, particularly Toyota, framed the problem<br />

differently. They focused on reducing the changeover time (which US<br />

manufacturers assumed was fixed) and eventually got it down to 44<br />

seconds. This saved thousands of dollars of production costs compared

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