Digital transformation is integral to optimising business processes, driving greater
efficiency and productivity. However, the success relies on effective knowledge management,
which ensures that organisational knowledge is harnessed and applied throughout the
transformation journey. Digital transformation fundamentally reshapes how organisations
operate, demanding not only new technological tools but also new competences, attitudes,
and a flexible working environment. As organisations adopt digital technologies, they
must develop and manage digital competencies across. Knowledge management systems
become essential for capturing, sharing, and updating this rapidly evolving knowledge
base, ensuring that workforces can access the latest digital innovations. Digital
intelligence is a comprehensive concept that encompasses digital competence— confident
and responsible use of digital technologies—and a positive digital attitude, which
influences how individuals engage with these technologies. These elements form a holistic
understanding of digital intelligence, enabling individuals to effectively navigate
and contribute to the digital landscape. An eight-dimensional model served as the
measurement tool in our Digital Intelligence pilot study. The initial quantitative
phase of scale validation centered on one of the Hungarian Law Enforcement Organisation,
facilitating subsequent measurements on the same cohort. In 2024, the online pilot
survey was conducted using the LimeSurvey system. The questionnaire is completed by
employees of the chosen Hungarian Law Enforcement Organisation in Hungary (n=180).
The aim of the research is to evaluate the level of Digital Intelligence within the
participants by establishing a comprehensive assessment framework, and analysing the
differences in Digital Intelligence across various groups based upon individual characteristics.
Each dimension was evaluated using nine statements (3 attitudes, 3 skills, 3 knowledge),
assessed across three levels (basic, advanced, and expert). Correlation analysis indicated
a strong relationship between the model components, suggesting the instrument's ability
to measure digital intelligence as a cohesive and multifaceted construct. Among the
target group, age showed no correlation with digital intelligence. Paired t-tests
revealed the largest discrepancies in digital dialogue (interacting with others in
the digital space) and digital literacy (evaluating, synthesising, and adapting information
in the digital space). The scoring mechanism indicated that at least half of the respondents
scored in the advanced category across all eight dimensions.
