Knowledge Management as Predictor of Transformational Leadership:An Empirical Observation on Middle Managers of it Companies of Kolkata

Knowledge Management is the process through which organizations generate value from their intellectual and knowledge-based assets (Santosus & Surmacz, 2001). This phenomenon includes social, geo-physical, economic and cultural conditions and also social network for transformational knowledge by decision makers, who collectively constitute the emergent network pattern for quality management changes and organizational outcome (Firestone & McElory, 2005). In the highly competitive and rapidly evolving organizations, Leadership and Knowledge Management focuses on identifying and addressing agency competencies so that the promotion of organizational achievement is ensured, knowledge is shared across the organizations and an environment of continuous learning is present. With these theoretical assumptions the present study aimed to find out the nature of relationship of knowledge management with transformational leadership among the middle managers of various IT companies of Kolkata. Accordingly, the data were collected from 100 purposively selected sample groups of IT professionals, working as middle managers by using three tools namely 1. General information schedule, 2. Knowledge Management Inventory (Banerjee & Ray, 2014), and 3. Multifactor Leadership Questionnaire 5X, Leader form (Avolio & Bass, 1995). The responses were treated for ANOVA, Correlation and Regression. The data based facts highlighted that 1. Moderate level of Knowledge Management is the general characteristic features of IT professionals of Kolkata working as middle managers, 2. The level of Knowledge Management is positively correlated with the selected attributes of transformational leadership, i.e., idealized influence (behaviour), inspirational motivation and intellectual stimulation. The quantitative analysis recommended some thrust areas for policy level issues and forms of economic interventions for management of optimum utilization of knowledge base of the IT professionals.