{'fraction_non_alphanumeric': 0.026752767527675275, 'fraction_numerical': 0.0, 'mean_word_length': 5.458333333333333, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Assessing the digital maturity level of higher education institutions

The primary focus of this paper is to propose a methodology for prioritizing the elements in the Digital Maturity Framework for Higher Education Institutions (DMFHEI) and assessing the digital maturity level (ML) of HEIs in Croatia. Developing the DMFHEI requires the application of a sophisticated methodology, which includes a set of methods, techniques, and instruments. Some of the analyses performed are qualitative, such as the comparison of similar frameworks and strategic documents, while others are quantitative, such as the Q-sorting method, focus groups, and multi-criteria decision-making methods. In the framework development phase, the well-known multi-criteria decision-making method the analytic hierarchy process/analytic network process (AHP/ANP) was implemented to prioritize the main areas and elements identified in the framework. The results of prioritization are shown in this paper, as well as the influence of the area and element priorities on the general digital ML of the institution.