Chen, Chen-TungOva, AlperHung, Wei-Zhan2024-07-182024-07-182022978-3-031-09176-6978-3-031-09175-92367-33702367-3389https://doi.org/10.1007/978-3-031-09176-6_66https://hdl.handle.net/11411/69674th International Conference on Intelligent and Fuzzy Systems (INFUS) -- JUL 19-21, 2022 -- Bornova, TURKEYDigital transformations are risky and difficult missions so that the managers should be supported with suitable assessment tools. In fact, enterprises must understand the digital capabilities before they implement the digital transformation strategies. Maturity model (MM) is an effective and useful tool to evaluate the initial status of digital capabilities of the company appropriately. But, the maturity of digital capabilities must evaluate the maturity level by multiple experts with respect to multiple influenced factors in the evaluation process. Due to experts always are difficult to use the crisp values to indicate their evaluation values, it is reasonable way to express their opinions by using the linguistic variables. Besides, there are some degree of interaction and dependence among influenced factors, this paper proposed a systematic method to measure digital capability maturity based on linguistic variables and fuzzy integral. Finally, an example used to explain the computational steps to verify the effectiveness of the digital capability maturity model.eninfo:eu-repo/semantics/closedAccessMaturity ModelLinguistic VariablesFuzzy İntegralModelConference Object2-s2.0-8513506631810.1007/978-3-031-09176-6_66587Q4579505N/AWOS:000889132600066