Integration of Knowledge Management and Business Intelligence for Lean Organizational Learning by the Digital Worker

Introduction

The objective of this chapter is to understand the relationship between business intelligence (BI) and knowledge management (KM) to address accelerated organizational performance. Hence, leading the discussions into how BI and KM can extend into lean organizational teaching and learning.

Knowledge Society framed by Drucker (1992) was understood in the scholarly world as the contemporary society. The challenge of the contemporary society can be described how organizations need to swiftly utilize their capabilities and networks to survive in the fast-paced digital world. As Davenport et al (1998) posit that intelligent knowledge is the power to survival in the competitive space. The complexity of this challenge is that expertise and new talent are shaped by the automation technologies. Essentially, it is driving organizations to look closer how the knowledge held and networks formed by individuals can be enhanced through effective KM with BI integrated for a more effective and shorter-oriented time for teaching and learning.

Managing knowledge and relevant management networks are relatively critical to organizations, thus it is important to posit a theoretical discussion on how business intelligence (BI) can be integrated with the knowledge teaching management (KTM) system in organization to optimise learning an organizational worker. Focusing on the on the role of technology, Alavi and Leidner’s (2001) framework provides insight on perspectives of knowledge that can be optimised for learning. This framework lends toward supporting an integrated BI and KTM system. The framework of perspectives by Alavi and Leider (2001) drawn from the works of Huber (1991) and Nonaka (1994) can be seen in the table below.