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2.3. SAMPLE AND MEASUREMENT 31<br />

Comparability of the <strong>Business</strong> Unit Comparability of the business unit (abbreviated:<br />

comparability) measures the degree of comparability of the business unit’s assets to<br />

the assets of other business units or organizations.<br />

Comparability is measured with seven items (Q8-14) relating to the comparability of a<br />

number of potentially critical assets to the assets of peers. These assets (or: resources)<br />

include: equipment, stock, systems, core-business employees, knowledge, brand image, and<br />

client portfolio. Because a high score on the individual measures indicates uniqueness as<br />

opposed to comparability, these scores are reversed.<br />

Because the relative importance of each of these assets can vary amongst organizations to<br />

a large extent, respondents were asked to assign weights to the various assets (Q15). The<br />

weights, distributed as points over the various assets, indicate each asset’s relative importance<br />

to the business unit. To calculate comparability of the business unit, the weighted<br />

scores are summed so that a high score on the measure indicates asset comparability.<br />

Comparability of the business unit = (equipment * weight) +<br />

(stock * weight) + (systems * weight) + (core-business employees * weight) +<br />

(knowledge * weight) + (brand image * weight) + (client portfolio * weight)<br />

Comparability is used to calculate the previously described common uncertainty variable.<br />

For this purpose, environmental uncertainty is multiplied by the ‘comparability’ score.<br />

This calculation yields a scale with a boosted uncertainty score if comparability is high<br />

and a reduced uncertainty score if comparability is low. The multiplied variables construct<br />

the measure for common uncertainty (CUNC).<br />

Comparability also serves another role in this study. Comparability of the business unit<br />

is also used for hypothesis 3, where it functions as a stand-alone moderator of the effect<br />

of information asymmetry on RPE use. This approach does not lead to problems with<br />

multicollinearity, as discussed in section 2.4.3.<br />

Information Asymmetry Information asymmetry is measured with a seven-item measure,<br />

largely based on Dunk (1993). There are two differences from Dunk’s original instrument.<br />

First, the wording has been altered to fit better with the specific context of business<br />

unit managers. Second, one question was added to differentiate between knowledge about<br />

internal versus external factors that might influence the business unit performance (following<br />

Kruis 2008). All items load on one factor. Overall, the construct for information<br />

asymmetry shows good internal reliability. Information asymmetry was calculated by averaging<br />

the scores on all items. Table 2.4 summarizes the construction of the information<br />

asymmetry variable.

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