Exploitation of disruptive technologies often requires resource deployment that creates conflict if there are divergent beliefs regarding the efficacy of a new technology. This arises when a visionary agent has more optimistic beliefs about a technological opportunity. Exploration in the form of...

This paper examines how a firm's choice of the type of experiment impacts on its potential exploitation of new technological opportunities. It does so in the context of the failure of successful firms (or disruption) where the literature has informally suggested that firms undertake errors in...

We ask whether a technical objective of using human performance of tasks as a benchmark for AI performance will result in the negative outcomes highlighted in prior work in terms of jobs and inequality. Instead, we argue that task automation, especially when driven by AI advances, can enhance...

This paper models the adoption by established firms of technologies that are internally disruptive in that different parts of an organization stand to lose or gain from adoption. When agents disagree with a decision they impose costs on the firm. The paper shows that any resistance to change...

Recent advances in AI represent improvements in prediction. We examine how decision-making and risk management strategies change when prediction improves. The adoption of AI may cause substitution away from risk management activities used when rules are applied (rules require always taking the...

How should theory-based entrepreneurs search for strategies to implement their ideas? The theory-based view of strategy posits that decision-makers hold theories about their environment premised on beliefs that should be actively tested. This causal framework, which underlies the theory-based...