This study suggest technological self-sufficiency, transfer efficiency, and technology improvement as instruments for measuring the improvement level of transferred technology in the developing countries.
These three variables are longitudinally analyzed for Korean cement industry, and hypotheses testing conducted with regards to relationships of these dependent variables with eleven independent variables that are presured to affect the dependent variables in a different manner.
All the variables are indentified at 15 points out of 24 points which is the total times of constructions or expansions projects from 1959 to 1979.
The hypotheses to be tested here include ;
1. The higher technological capability of the firm, the more attention on the issues are given to the technology factor in decision making of technology transfer.
2. The stronger the financial back up, technological level on the transferring time, transfer experience, and the larger firm size, the higher level of technological self-sufficiency is attained.
3. The higher transfer experience, technological assistance, incentives given to employees, and the larger firm size, the higher level of transfer efficiency can be attained.
4. The higher education and training level, competence of the technological leader, and the greater R ＆ D activity and firm size, the higher level of technology improvement can be achieved.
5. The higher technological self-sufficiency, the higher degree of transfer sucess is expected.
Among the five hypotheses above, H.1 is accepted.
In the H.2, the pairs of technological level on the transferring time-technological self-sufficiency, transfer experience-technological self-sufficiency, firm size-technological self-sufficiency are accepted.
In the H.3, the pairs of transfer experience-transfer efficiency, firm size-transfer efficiency are accepted.
In the H.4, the pairs of firm size-technological improvement is accepted.
And H.5 is rejected.
Generally, the values of the correlations are low, but even in the case of rejected pairs, it is true that independent variables affects the dependent variables in a different manner. Then if these indicators of the each variable are more refined and reconstituted, the model can be extended enough to illustrate the technological development by technology transfer in developing country.
