Dynamic Adaptive Strategy-making Processes for Enhanced Strategic Responsiveness

The author introduces a strategic responsiveness model that reflects an organization’s ability to sense environmental changes and learn from emergent adaptive responses that attempt to realign organizational activities and gain a better fit with the changing conditions. The author shows in computational simulations how superior strategic adaptation is associated with higher average returns and lower performance risk among firms that compete in the same industry contexts and generate negatively skewed outcome distributions consistent with empirical observations. The model is refined to incorporate an interactive strategy-making process, where experiential insights from decentralized initiatives update forward-looking projections in central planning. The ensuing analysis demonstrates how this adaptive strategy-making approach further enhances the favorable risk-return outcomes. The author discusses these findings and the implications for the study of dynamic adaptive strategy-making processes.