pdf - Nyenrode Business Universiteit
pdf - Nyenrode Business Universiteit
pdf - Nyenrode Business Universiteit
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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.