Digital Transformation (DT) initiatives frequently face high failure rates, and while Digital Maturity Models (DMMs) offer potential solutions, they have notable shortcomings. Specifically, there is significant disparity in the dimensions considered relevant, a lack of clarity in their definitions, and uncertainty regarding their components. This study aims to provide a clearer understanding of DMMs by proposing integrative definitions of the most frequently used dimensions. Using a Systematic Mapping approach, including automatic search and snowballing techniques, we analyzed 76 DMMs to answer two Research Questions: (RQ1) What are the most frequent dimensions in DMMs? and (RQ2) How are these dimensions described, including their components? We reconcile varying interpretations of the ten most frequent dimensions -- Organization, Strategy, Technology, Culture, Process, Operations, People, Management, Customer, and Data -- and propose integrative definitions for each. Compared to previous analyses, this study provides a broader and more recent perspective on Digital Maturity Models.

翻译：数字化转型（DT）举措常常面临高失败率，而数字成熟度模型（DMMs）虽提供了潜在的解决方案，却存在显著不足。具体而言，在哪些维度被视为相关方面存在显著差异，其定义缺乏清晰度，且其构成要素存在不确定性。本研究旨在通过为最常用的维度提出整合性定义，以提供对DMMs更清晰的理解。采用系统性图谱方法，包括自动检索和滚雪球技术，我们分析了76个DMMs以回答两个研究问题：（RQ1）DMMs中最常见的维度是什么？以及（RQ2）这些维度是如何描述的，包括其构成要素？我们调和了十个最常见维度——组织、战略、技术、文化、流程、运营、人员、管理、客户和数据——的不同解释，并为每个维度提出了整合性定义。与先前的分析相比，本研究为数字成熟度模型提供了更广泛和更新的视角。