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Transforming Human Resource Management Processes Through Intelligent Systems
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In order to remain competitive in a highly volatile business environment, organizations are required to engage themselves in constant learning. However, designing an effective learning organization demands acquisition and processing of knowledge distributed within and outside the organization. Technologies such as data warehousing, expert systems, best-practice databases, and intranet/internet systems have potentials to acquire, access, store and interpret explicit and implicit knowledge for an effective organizational action (Stein & Zwass 1995). In this communication, authors have emphasized on the smart-technology enabled Human Resource Management System (HRM) as a potential enabler for organizational learning and development. The objective here is to orient HR leaders towards a systematic data driven human resource decision making system which is flexible, scalable and cost effective. One of the few important considerations for building such an intelligent system is undoubtedly exploring the right HRMIT strategy fit.
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