A Strategy Map serves as a visual representation of the intricate network of interrelationships between a company's key performance indicators. This graphical framework offers a comprehensive perspective on how a particular choice or action can ripple across all areas of an organization, yielding either positive or negative consequences. To this date, most practical development concerning Strategy Maps continues to rely heavily on the knowledge and intuition of experts within the organization. While these “soft data” have undoubtedly played a vital role in shaping effective strategies, they come with inherent limitations when it comes to the implementation of Strategy Maps. On the other hand, innovative tools for data collection, storage, and analysis have introduce an era of “hard data”' – structured, quantitative information derived from various sources. These hard data have proven to be powerful assets, particularly as a foundation for enhancing strategic decision-making. In response to this paradigm shift, a compelling proposition arises: the integration of hard data into the development process of Strategy Maps to enhance their reliability, accuracy, and completeness. This transition holds the promise of advancing the field of strategic management, aligning it more closely with data-driven decision-making paradigms, and bridging the gap between traditional intuition-based strategies and the emerging data-driven approaches. This thesis dissertation embarks on the path of using hard data to refine Strategy Maps. Comprising four distinct studies, this research project is dedicated to advancing the current body of literature in the field of strategic management. These studies encompass theoretical insights, innovative methodological propositions, and empirical demonstrations, all aimed at shedding light on the viability, challenges, and potential benefits of incorporating hard data into the creation and utilization of Strategy Maps.
Exploring Causalities in Strategic and Performance Management: A Methodological Framework Proposition to Integrate Hard Data and Experts' Knowledge
Pirnay, L. (Auteur). 24 nov. 2023
Student thesis: Doc types › Docteur en Sciences économiques et de gestion