STRATEGIC SCANNING AND LEARNING IN THE NEW COMPETITIVE LANDSCAPE – A LEARNING APPROACH

In this paper we will attempt to throw new light on the increasingly relevant, <p> albeit not new, subject of strategic scanning by applying a learning <p> perspective to well-known theoretical approaches to strategic scanning and <p> issue management. The reason for doing so is quite simple – in hyper-competitive <p> markets, it has never before been more important to be able to scan <p> the environment and learn from the signals of the scanning system. At the <p> same time, theories of organizational learning have risen to prominence in <p> management research only relatively recently and, thus, many years after <p> strategic scanning was first discussed. The main contribution of the paper is <p> an analysis of three theoretical approaches to strategic scanning investigating <p> their potential for creating and securing organizational learning.