Template-Type: ReDIF-Paper 1.0
Author-Name: Jitka VOLFOVÁ
Author-Name-First: Jitka
Author-Name-Last: VOLFOVÁ
Author-Email: jitka.volfova@vse.cz
Author-Workplace-Name: Prague University of Economics and Business, Czechia
Author-Name: Kamila MATYSOVÁ
Author-Name-First: Kamila
Author-Name-Last: MATYSOVÁ
Author-Email: kamila.matysova@vse.cz
Author-Workplace-Name: Prague University of Economics and Business, Czechia
Author-Name: Vlad DIACONESCU
Author-Name-First: Vlad
Author-Name-Last: DIACONESCU
Author-Email: diaconescuvlad17@stud.ase.ro
Author-Workplace-Name: Bucharest University of Economic Studies, Romania
Author-Name: Andrada-Jawel ISTANBOULY
Author-Name-First: Andrada-Jawel
Author-Name-Last: ISTANBOULY
Author-Email: istanboulyandrada21@stud.ase.ro
Author-Workplace-Name: ISTANBOULY, Bucharest University of Economic Studies, Romania
Title: Organizational maturity and artificial intelligence adoption in Romanian tourism: an empirical typology
Abstract: As digital transformation accelerates and artificial intelligence (AI) becomes more accessible, tourism organizations display uneven adoption patterns. This study examines how Romanian tourism organizations cluster based on cultural-strategic profiles and whether objective demographic characteristics are associated with membership in specific maturity profiles. Using survey data from 325 Romanian tourism professionals, the article applies K-means cluster analysis to seven cultural-strategic dimensions: the four archetypes of the Competing Values Framework and the three dimensions of strategic agility. The resulting typology is validated with ANOVA tests on external variables, and associations with organizational demographics are analyzed using chi-square tests and binary logistic regression. The analysis identifies three ordered maturity profiles – Laggards (16.6%), Moderates (36.0%), and Leaders (47.4%)—with medium to large differences across AI adoption, technology-organization-environment (TOE) readiness, digital culture, strategic agility performance, and perceived digital transformation impact. None of the demographic predictors in the logistic model (organization size, geographic scope, respondent experience) significantly predicts Leader membership, and organization type is also non-significant in chi-square analysis. However, geographic scope and organization size have independent effects on actual AI adoption levels. These findings indicate that digital maturity in tourism is closely linked to cultural-strategic capability patterns, while objective resources do not determine profile membership. Given the cross-sectional and self-reported nature of the data, the results should be interpreted as associative rather than causal. The study has implications for policies and managerial interventions that integrate capability-building with measures addressing resource constraints, particularly in SME-dominated tourism contexts.
Journal: CACTUS – Journal of Tourism Business, Management and Economics
Year: 2026
Creation-Date: 2026
Volume: 8
Issue: 1
Pages: 23-37
Keywords: digital maturity; tourism; digital transformation; strategic agility
Classification-JEL: L83, O33, M21, Z32
File-URL: https://cactus-journal-of-tourism.ase.ro/uploads/public/1780247389098_v2yjb4oiear_II.2_Volfov__et_al.pdf
File-Format: Application/pdf
Handle: RePEc:bum:cactus:cactus-2026-19