Transforming Human Resource Management Processes through Intelligent Systems.

AuthorGhosh, Vinit


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.

HR-IT Strategy in Action

An organization's strategic fit (with human resource management practices, employee skills and behavior) and flexibility (adopting new processes or practices) can be achieved by a collaborative HR-IT strategy. There is a strong need to define and monitor appropriate HR metrics which can create value for the business. To a great extent this demand can be fulfilled by intelligent capturing, storing, transforming and exploring data from multiple sources and channels. The data explosion across the globe with the advent of smart devices such as mobiles, tablets and online social platforms have opened immense opportunities to tap new knowledge, talents and markets. But at the same time, to achieve a balanced approach on fit and flexibility, the complexity of organizational business processes has increased manifolds. This large and complex data, generated from different systems, processes and people are often referred to as 'Big' data. Business process automation and business intelligence tools are required to analyze such big data in order to provide useful insights (Kabra, Ghosh & Ramesh, 2017). However, the real challenge which most companies face is to deal with the high purchase and maintenance cost of these sophisticated software. Cloud computing, a web based platform (Low, Chen & Wu, 2011), is equipped with capabilities to handle such complex business scenarios and can provide an...

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