The Influence of the Expected Factors for Adopting Artificial Intelligence Applications in Firms’ Management

A tétel rövid nézete
dc.contributor.advisorMatkó, Andrea Emese
dc.contributor.authorOdeibat, Ayat Sami Ali
dc.contributor.departmentIhrig Károly gazdálkodás- és szervezéstudományok doktori iskolahu
dc.contributor.submitterdepGazdaságtudományi Kar
dc.date.accessioned2025-04-28T12:39:19Z
dc.date.available2025-04-28T12:39:19Z
dc.date.defended2025-05-19
dc.date.issued2025
dc.description.abstractThis study investigates the key factors influencing Artificial Intelligence (AI) adoption within the telecommunications sector, aiming to identify the most effective drivers of adoption and underscore the role of top management in facilitating AI integration with human intelligence. Utilizing a mixed methods approach, primary data were collected through an online questionnaire, supplemented by personally administered surveys. Drawing upon the Diffusion of Innovation (DOI) theory and the Technology-Organization-Environment (TOE) framework, the study framework comprises eleven latent variables. Reliability was confirmed via Cronbach’s alpha, and the dataset’s suitability for multiple regression analysis was assessed through normality and multicollinearity checks using SPSS. The findings reveal six key factors with a direct influence on AI adoption: Compatibility, Technical Capabilities, Managerial Support, Competitive Pressure, Market Uncertainty, and Vendor Partnership. Additionally, Managerial Capability was found to have an indirect effect, emphasizing its critical role in resource coordination and strategic alignment. This research validates the TOE and DOI frameworks as effective tools for understanding AI adoption dynamics in firms and offers practical insights for enhancing AI integration strategies.
dc.format.extent146
dc.identifier.urihttps://hdl.handle.net/2437/389446
dc.language.isoen
dc.subjectArtificial Intelligence Adoption
dc.subjectTelecommunications Industry
dc.subjectManagerial Capability
dc.subjectTechnology Adoption
dc.subjectOrganizational Factors
dc.subjectInnovation Integration
dc.subject.disciplineGazdálkodás- és szervezéstudományokhu
dc.subject.sciencefieldTársadalomtudományokhu
dc.titleThe Influence of the Expected Factors for Adopting Artificial Intelligence Applications in Firms’ Management
dc.title.translatedThe Influence of the Expected Factors for Adopting Artificial Intelligence Applications in Firms’ Management
dc.typePhD, doktori értekezéshu
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 2 (Összesen 2)
Nincs kép
Név:
DISSERTATION-AYAT ODEIBAT 2024_titkositott.pdf
Méret:
10.06 MB
Formátum:
Adobe Portable Document Format
Leírás:
dissertation
Letöltés
Nincs kép
Név:
THESISES OF THE DOCTORAL_AYAT ODEIBAT_titkositott.pdf
Méret:
1.6 MB
Formátum:
Adobe Portable Document Format
Leírás:
thesis
Letöltés
Engedélyek köteg
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
license.txt
Méret:
1.93 KB
Formátum:
Item-specific license agreed upon to submission
Leírás:
Letöltés
Gyűjtemények
Gazdálkodás- és Szervezéstudományok Doktori Iskola