An Intuitionist Fuzzy Method for Discovering Organizational Structures that Support Digital Transformation

With recent developments in information technology and the advent of new communication practices, organizations are currently facing enormous changes in the design of their activities and their development strategy. Unfortunately, these changes are not so easy to model and to insert into digital transformation processes. The digital transformation (DT) is triggering changes in operations and organizational processes. The results of this transformation are not often predictable. Sometimes digital transformation leads to entirely new solutions and has a deep impact on the organization. Understanding how organizations operate when undergoing digital transformation is essential, as it is the right way to overcome organizational obstacles and find the optimal path for future-oriented development. By focusing on the processes and on the organizational units resulting from an analytical approach, we show that the development of digital strategies reveals new processes and new organizational structures resulting from emerging strategies. More specifically, we find that a DT is constantly evolving. This paper deals with a new approach to drive the transformation of the organization regarding to digital transformation. Indeed, we propose a fuzzy intuitionist approach to discover organizational structures that support digital transformation. The theory of intuitionist fuzzy sets handles uncertain situations, by extension of the classical fuzzy theory, with the integration of the concept of hesitation.