Handbook of Management Scales/Intelligence generation
Intelligence generation (alpha = 0.65)[edit | edit source]
Description[edit | edit source]
In order to improve operationalization and psychometric properties, a market orientation scale (MARKOR) taken from Kohli et al. (1993) is modified. The resulting market orientation scale (MO) has three dimensions: intelligence generation, intelligence dissemination, and responsiveness.
Items[edit | edit source]
- We poll end users at least once a year to assess the quality of our products and services.
- In our business unit, intelligence on our competitors is generated independently by several departments.
- We periodically review the likely effect of changes in our business environment (e.g., regulation) on customers.
- In this business unit, we frequently collect and evaluate general macro-economic information (e.g., interest rate, exchange rate, GDP, industry growth rate, inflation rate).
- In this business unit, we maintain contacts with ifficials of government and regulatory bodies (e.g., Department of Agriculture, FDA, FTC, Congress) in order to collect and evaluate pertinent information.
- In this business unit, we collect and evaluate information concerning general social trends (e.g., environmental consciousness, emerging lifestyles) that might affect our business.
- In the business unit, we spend time with our suppliers to learn more about various aspects of their business (e.g., manufacturing process, industry practices, clientele).
- In our business unit, only a few people are collecting competitor information. (reverse coded)
Source[edit | edit source]
- Matsuno et al. (2000): A refinement and validation of the MARKOR scale. Journal of the Academy of Marketing Science, Vol. 28, No. 4, pp. 527-539
Comments[edit | edit source]
Cronbach's alpha is too low.