Interpretive Structural Modeling of Technical Knowledge in the Pharmaceutical Industry for Global Markets

Knowledge-based industries are expanding their market share, and the technical expertise of personnel within this sector is on the rise. This research aims to employ interpretive structural modeling of technical knowledge in the pharmaceutical industry for global markets.

This research was conducted using a qualitative approach with fundamental and applied objectives. The statistical population consisted of 15 experts and faculty members with knowledge in the relevant field. Initially, the dimensions of human technical knowledge in medicine were gathered from existing literature and research studies. Following interviews with the experts, which served to validate the dimensions, the interpretive structural modeling method was employed to confirm the model.

The findings indicate that the technical knowledge of human resources in the medical field encompasses 13 dimensions. Of these, 12 components were classified at the first level, while the component related to strategies for entering the international market was positioned at the second level, demonstrating the greatest impact on the overall model.

The findings of this research will significantly impact the pharmaceutical industry. By concentrating on strategies to penetrate international markets through the export of technical knowledge related to human resources, pharmaceutical companies can contribute positively to the economy and enhance foreign exchange.