IT Reeingeneering for Growing Organizations. Exploiting the Full Potential of Digitalization in Developing and Manufacturing Companys

Abstract

Organizations today must face the challenges and potentials of digital transformation globally. The increasing speed at which newer and better still digital technologies are emerging is forcing managers to design organizations accordingly. On the one hand, new business models must be created to meet customer demandswhileon the other hand, internal processes and areas using information technologies need to be rethought. To be successful in a volatile environment, flexible organizational designs are a basis to remain competitive and develop competitive advantages.This thesis shows traditional and modern methods, processes, and also structures which allow small and medium-sized organizations to reorganize their rigid hierarchical and proven procedures when it comes to information technology. The first step in a multi-phase reorganizationof IT departments using the most appropriate methods and tools was developed throughout this thesis. The applied structure, processes, and tools shall benefit LOGICDATA’s first steps on their wayto become a digitalization champion in process digitalization and IT. The model is designed to meet the requirements of both traditional and modern IT environments. Modern,less hierarchical structures are combined with traditional forms. Finally, an outlook on structureless organizational designs is provided to make the purpose of the department a top priority where talents, experience and personal attitudes of the team specify the future journey. The first phase of the developed organizational design has been introduced in the case of LOGICDATA and evaluated by the author. The new approaches to structure, tools and processes havebeen compared to positive and negative aspects of the status quo before the organizational redesign. The results provide improvements and limitations the model has in its evaluated environment.The thesis was written in times of the global pandemic crisis due to coronavirus disease (COVID-19). In this paper,less hierarchical structures show the likelihood to adapt faster to such environmental changes compared to others.