Assessing Digital Intelligence: Validation and Insights from a Law Enforcement Pilot Survey

https://m2.mtmt.hu/ hun 2026-03-16 22:43 JournalArticle 36311834 ADMIN_APPROVED true 0 false 2026-01-14T12:11:12.156+0000 2025-10-31T11:17:29.499+0000 2025-09-01T11:48:21.175+0000 true 10068889 Hubert Nikolett /api/admin/10068889 Admin Hubert Nikolett (gazdaságtudomány, admin) true 2025-11-10T09:42:54.084+0000 2025-11-10T09:42:43.125+0000 2025-10-31T11:17:29.503+0000 true 10032025 Zsiborács Judit /api/admin/10032025 Admin Zsiborács Judit (PE 4 admin) true 10032025 true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 1268360 Conference paper in journal true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/1268360 Konferenciaközlemény SubType Konferenciaközlemény (Folyóiratcikk) 109 true 1268360 true 1 /api/category/1 Category Tudományos true 1 Obermayer, Nóra Assessing Digital Intelligence: Validation and Insights from a Law Enforcement Pilot Survey true true /api/journal/10044011 REVIEWED PROCEEDINGS OF THE EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT 2048-8963 2048-898X true false 10044011 false 10044011 false 2048-8963 2048-898X Journal FOREIGN 26 1 732 740 732 9 2025 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. true 2025 true true true true false NONE 2026-01-14 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false false false false 2025-10-30T11:17:29.258+0000 Marketing Intézeti Tanszék (PE / GTK / ÜTI); Szervezési és Vezetési Intézeti Tanszék (PE / GTK / MI) 5 7 2 5 0 false Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 127692344 /api/authorship/127692344 Obermayer, Nóra [Obermayer, Nóra (Tudásmenedzsment), szerző] Szervezési és Vezetési Intézeti Tanszék (PE / GTK / MI) 1 0.2 true false false Author 10030331 /api/author/10030331 Obermayer Nóra (Tudásmenedzsment) Obermayer Nóra true 10030331 true Obermayer Nóra true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 127692345 /api/authorship/127692345 Hargitai, David [Hargitai, Dávid Máté (Marketing), szerző] Marketing Intézeti Tanszék (PE / GTK / ÜTI) 2 0.2 false false false Author 10040033 /api/author/10040033 Hargitai Dávid Máté (Marketing) Hargitai Dávid Máté true 10040033 true Hargitai David true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 127692346 /api/authorship/127692346 Kovari, Edit [Kővári, Edit (gazdaságtudomány,...), szerző] Szervezési és Vezetési Intézeti Tanszék (PE / GTK / MI) 3 0.2 false false false Author 10036301 /api/author/10036301 Kővári Edit (gazdaságtudomány, emberi erőforrás) Kővári Edit true 10036301 true Kovari Edit true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 127692347 /api/authorship/127692347 Nagy, Viktoria [Nagy, Viktória (Ipar 4.0), szerző] Szervezési és Vezetési Intézeti Tanszék (PE / GTK / MI) 4 0.2 false false false Author 10075020 /api/author/10075020 Nagy Viktória (Ipar 4.0) Nagy Viktória true true Nagy Viktoria true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 127692348 /api/authorship/127692348 Bokor, Barbara [Bokor, Barbara (Ipar 4.0, digitál...), szerző] Szervezési és Vezetési Intézeti Tanszék (PE / GTK / MI) 5 0.2 false true false Author 10097229 /api/author/10097229 Bokor Barbara (Ipar 4.0, digitális kompetenciák, Operátor 4.0) Bokor Barbara true true Bokor Barbara true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 29777976 /api/publicationidentifier/29777976 DOI: 10.34190/eckm.26.1.3729 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.34190/eckm.26.1.3729 https://doi.org/10.34190/eckm.26.1.3729 false true PublicationIdentifier 29777977 /api/publicationidentifier/29777977 Egyéb URL: https://papers.academic-conferences.org/index.php/eckm/article/view/3729 PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://papers.academic-conferences.org/index.php/eckm/article/view/3729 https://papers.academic-conferences.org/index.php/eckm/article/view/3729 false true /api/publication/36311834 Obermayer Nóra et al. Assessing Digital Intelligence: Validation and Insights from a Law Enforcement Pilot Survey. (2025) PROCEEDINGS OF THE EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT 2048-8963 2048-898X 26 1 732-740<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <a href="/gui2/?type=authors&mode=browse&sel=10030331" target="_blank">Obermayer Nóra (Obermayer Nóra Tudásmenedzsment) </a> PE/GTK/MI/Szervezési és Vezetési Intézeti Tanszék ;    <a href="/gui2/?type=authors&mode=browse&sel=10040033" target="_blank">Hargitai David (Hargitai Dávid Máté Marketing) </a> PE/GTK/ÜTI/Marketing Intézeti Tanszék ;    <a href="/gui2/?type=authors&mode=browse&sel=10036301" target="_blank">Kovari Edit (Kővári Edit gazdaságtudomány, emberi erőforrás) </a> PE/GTK/MI/Szervezési és Vezetési Intézeti Tanszék ;    <a href="/gui2/?type=authors&mode=browse&sel=10075020" target="_blank">Nagy Viktoria (Nagy Viktória Ipar 4.0) </a> PE/GTK/MI/Szervezési és Vezetési Intézeti Tanszék ;    <a href="/gui2/?type=authors&mode=browse&sel=10097229" target="_blank">Bokor Barbara (Bokor Barbara Ipar 4.0, digitális kompetenciák, Operátor 4.0) </a> PE/GTK/MI/Szervezési és Vezetési Intézeti Tanszék </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36311834" target="_blank">Assessing Digital Intelligence: Validation and Insights from a Law Enforcement Pilot Survey</a></div> <div> PROCEEDINGS OF THE EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (<a target="_blank" href="https://portal.issn.org/resource/ISSN/2048-8963">2048-8963</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/2048-898X">2048-898X</a>): 26 1 pp 732-740 (2025) </div> <div class="pub-footer"> Nyelv: Angol | <a style="color:black" title="10.34190/eckm.26.1.3729" target="_blank" href="https://doi.org/10.34190/eckm.26.1.3729"> DOI </a> <a style="color:black" title="https://papers.academic-conferences.org/index.php/eckm/article/view/3729" target="_blank" href="https://papers.academic-conferences.org/index.php/eckm/article/view/3729"> Egyéb URL </a> <div class="mtid">Közlemény: 36311834 | Admin láttamozott Forrás | Folyóiratcikk ( Konferenciaközlemény ) | Tudományos | </div> <div class="notDuplums"><a target="_blank" href="/api/publication/36311834/notduplums">1 Nem duplumnak jelölés</a> </div> <div class="lastModified">Utolsó módosítás: 2025.10.31. 12:17 Zsiborács Judit (PE 4 admin) </div> </div></div>