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C. Benoit, K. Mackenzie (1994)
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This is Part II of a new approach to survey studies called knobby analyses of knobless survey items. In Part II, this approach is applied to a study of the national sales organization of a large hightechnology firm called here Euphoria BioTechnology. A 17 item Employee Opinion Survey EOS was constructed and administered concurrently with an Organizational Diagnostic Survey ODS. The EOS inquired about the main features and properties of the organization and the ODS, based on the theory of the organizational hologram, provided a series of knobs which were used to explain their variance. Knobby analyses involve moving beyond data expertise to expert data. Data expertise is employed in both the EOS and the ODS surveys. However, knobby analyses allow one to leverage the EOS results to improve the derivation of the conclusions or meanings of the results of the survey data and to reach recommendations. Furthermore, knobby analyses allow followup analyses of special management problems. Four examples of these subsequent analyses are provided in order to illustrate the process of producing expert data via the knobby analyses approach. It is inconclusive whether or not knobby analyses are more expensive than expert data processes using only the EOS results. However, knobby analyses did provide more and different information than an EOS could have done alone.
The International Journal of Organizational Analysis – Emerald Publishing
Published: Mar 1, 2000
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