Dijital olgunluk modeli için kararsız bulanık çok kriterli karar verme teknikleriyle değerlendirme yapısı

As organizations continually face pressures to gain and retain competitive advantage, identifying ways of cutting costs, improving quality, reducing time to market, meeting customer requirements, having flexible processes become increasingly important. In this context, Digital Transformation (DT) aim to create new customer experiences, improve operational efficiencies, generate new revenue streams and rapidly respond to changing conditions. DT leads to the emergence of new business models. Companies need to know where to start and how to follow a path in their DT journey. At this point, Digital Maturity Models (DMMs) help companies. The aim is to provide a scientific method that guides organizations in their DT journey with 2 phases. In the first phase, an original DMM is constructed and a method for calculating the digital maturity score is proposed. Hesitant Fuzzy Analytic Hierarchy Process (AHP) method is used to determine the importance degree of the factors. Since decision makers (DMs) often have difficulties to express their thoughts during decision-making process, the hesitant fuzzy linguistic terms set (HFLTS) approach is preferred. In the second phase, strategic action plans are offered according to digital maturity levels of the companies. The insufficient parts of companies in terms of DT are determined by DMM evaluation and strategic action plans are proposed as improvement suggestions. Hesitant Fuzzy Axiomatic Design (AD) method is used to select the best action plan. The research methodology and the proposed evaluation framework are illustrated with a real case study and the results of the study are given.