|Ph.D Student||Raz Ornit|
|Subject||"Cognitive Knowledge Identity" (CKI): The Impact of|
Cognitive Perspectives on Information Technology
|Department||Department of Industrial Engineering and Management||Supervisor||Professor Albert Goldberg|
This paper discusses the impact of cognitive perspectives on Information Technology performance. A combination of cognitive dimensions produces three unique cognitive knowledge identities that we call “Cognitive Knowledge Identity” (CKI). These identities are: Tayloristic, Expert, and Innovation. Tayloristic identities are based on an externalization of knowledge, where workers follow rules without understanding the rationale for these procedures. Expert identities are built on worker competencies. Finally, Innovation identities require for the creative act of conceiving new knowledge. Each identity calls for different motivational bases and reward systems, appropriate management responsibilities, and proper use of information technologies. Cognitive knowledge identities are important for the organization of work. They determine understandings regarding worker abilities to deal with knowledge, and set the framework for transactions between employees and their organizations. This dissertation introduces a set of measurements for cognitive knowledge identities based on a questionnaire given to 580 employees. The measures are used to explore the distribution of cognitive identities within 18 organizations. The firms vary from high-tech industrial enterprises with extensive R&D operations to service organizations such as banks and hotels. The results showed that many workers are expected to work within more than one cognitive knowledge identity. This is probably due to the complexity of particular jobs - workers are expected to follow instructions strictly for one task, to be independent and expert in another task, and to be creative and innovative for yet other tasks. A match between cognitive knowledge identities in organizations and the embedded structure of information technologies proved to be effective in improving worker performance.