THREE APPROACHES APPLIED TO BUSINESS INTELLIGENCE RESEARCH PAPER

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Three Approaches Applied To Business Intelligence
Introduction
Business Intelligence mainly refers to skills, processes, technologies, applications and practices used to support decision making.
1. Standard statistical methods for quantitative data (forecasting, predictive models, decision trees, neural nets etc),
2. Semantic analysis methods (LSI, l.SA) of textual data and
3. Geographic Information Systems for spatial data.

References
Blattner, J & Bacigalupo, A. (2007). Using Emotional Intelligence to Develop Executive Leadership and Team and Organizational Development. Consulting Psychology Journal: Practice and Research, 59(3), 209–219

Cremer, D., Knippenberg, D., Dijke, M & Bos, A. (2006). Self-Sacrificial Leadership and Follower Self-Esteem: When Collective Identification Matters. Group Dynamics: Theory, Research, and Practice. 10(3), 233–245

Dadhich, A & Bhal, K. (2008). Ethical Leader Behavior and Leader-Member Exchange as Predictors of Subordinate Behaviors. VIKALPA. 33(4), 15-25

Illies, J & Reiter-Palmon, R. (2007). Responding Destructively in Leadership Situations: The Role of Personal Values and Problem Construction. Journal of Business Ethics. 2008(82), 251-272

Kearney, E & Gebert, D. (2009). Managing Diversity and Enhancing Team Outcomes: The Promise of Transformational Leadership. Journal of Applied Psychology. 94(1), 77–89

Lemay, L. (2009). The Practice of Collective and Strategic Leadership in the Public Sector. The Innovation Journal: The Public Sector Innovation Journal, 14(1), 1-19

Leonard, S. (2003). Leadership Development for the Postindustrial, Postmodern Information Age. Consulting Psychology Journal: Practice and Research, 55(1), 3–14

Sin, H., Nahrgang, J & Morgeson, F. (2009). Understanding Why They Don’t See Eye to Eye: An Examination of Leader–Member Exchange (LMX) Agreement. Journal of Applied Psychology. 94(4), 1048–1057

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