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A Strategy Map is a tool that depicts the interrelationships between the key performance indicators of a company. Strategy Maps are considered as Decision Support Systems by allowing the user to understand the consequences of a decision on other indicators of the business which is crucial in decision-making. To this date, the majority of the practical development of Strategy Maps is based on the knowledge and intuition of experts of the company regardless of the methodology used. These "soft data" present a number of drawbacks when implementing Strategy Maps: in accuracy, in completeness and a lack of longitudinal perspective. Currently, technological innovations enable to collect, store and analyze more data. These "hard data" are a powerful source of information used in Decision Support Systems to enhance strategic decision-making. We suggest to integrate hard data in the development process of the Strategy Maps in order to increase their reliability. This paper presents the outline of a research project related to the use of hard data in Strategy Maps. Five research questions are presented in order to contribute to the current literature with theoretical conclusions, methodological propositions and empirical demonstrations.
|titre||Proceedings of the Doctoral Consortium Papers Presented at the 33rd International Conference on Advanced Information Systems Engineering (CAiSE'21)|
|Etat de la publication||Publié - 30 juin 2021|
Empreinte digitaleExaminer les sujets de recherche de « Data-Driven Strategy Maps: A Hybrid Approach to Strategic and Performance Management Combining Hard Data and Experts' Knowledge ». Ensemble, ils forment une empreinte digitale unique.
- 1 Actif
Causalities in Strategy Maps: Can Information Systems Complement Experts Knowledge in Increasing Accuracy ?
1/01/20 → 30/09/24
Projet: Projet de thèse