Contents -- Preface -- 1 Introduction -- 2 What Is Disruption? -- 3 Sources of Disruption -- 4 Predicting Disruption -- 5 Managing Disruption -- 6 Self-Disruption -- 7 Insuring against Disruption -- 8 Reexamining Disruption -- 9 Future of Disruption -- Notes -- Index

This paper examines the role of artificial intelligence as a strategist in organizational decision-making by extending van den Steen's formal theory of strategy. A mathematical model is developed comparing AI and human strategists across different decision contexts, focusing on how each type...

The appropriability of innovation depends not only on the instruments available to an innovator to protect private returns, but how those instruments interact with each other as part of the firm's entrepreneurial strategy. We consider the interplay between two appropriability mechanisms...

We interpret recent developments in the field of artificial intelligence (AI) as improvements in prediction technology. In this paper, we explore the consequences of improved prediction in decision-making. To do so, we adapt existing models of decision-making under uncertainty to account for the...

The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of...

The appropriability of innovation depends not only on the instruments available to an innovator to protect private returns, but how those instruments interact with each other as part of the firm's entrepreneurial strategy. We consider the interplay between two appropriability mechanisms...