http://hdl.handle.net/11089/58226 2026-04-28T17:04:08Z http://hdl.handle.net/11089/58239 The role of emotional intelligence in shaping entrepreneurial intentions among Tunisian women in sustainable tourism Bardaa, Mohamed Amin Entrepreneurship is an essential component of economic progress, and women entrepreneurs are key actors. However, various factors, including entrepreneurial motivation, emotional intelligence, and their perception of governance and anti-corruption efforts, have influenced their engagement in specific sectors like sustainable tourism. The study used a quantitative research methodology, gathering information from 220 Tunisian women entrepreneurs using a structured questionnaire. To evaluate the proposed associations, the investigation used partial least squares structural equation modeling (PLS-SEM), correlation analysis and descriptive statistics. The findings indicate that their inclination to start firms in this industry is significantly influenced by entrepreneurial motivation and emotional intelligence. Moreover, perception of anti-corruption efforts plays a moderating role, reinforcing their positive effects. 2025-12-30T00:00:00Z http://hdl.handle.net/11089/58237 Factors affecting visitors’ memorable wine tourism experiences at the Urla Vineyard Route (Türkiye – Aegean coast) Türker, Nuray This paper aims to identify the key factors that contribute to a memorable wine tourism experience for visitors to the Urla Vineyard Route (UVR). This route the second most important wine tourism route in Türkiye after the Thrace Vineyard Route, was created by seven vineyard owners in 2015. In the research 378 comments of visitors posted on TripAdvisor between 2016 and 2023 were collected and the data was analyzed using MAXQDA Analytics Pro 2020 software. This research employed the netnographic research process. Results show that six factors affect visitors’ wine tourism experiences: the scenery and atmosphere of the vineyard and winery, winery staff, grape variety, food taste, wine tasting and price. Scenery is the most influential factor, while the price is the least in visitors’ wine tourism experiences. 2025-12-30T00:00:00Z http://hdl.handle.net/11089/58238 Memorable sustainable tourism experiences (MSTE): A mixed-method study Bakar, Nurzehan Abu; Rahim, Marlisa Abdul; Nawi, Nor Maizana Mat; Hashim, Nik Alif Amri Nik; Velayuthan, Sathish Kumar This study investigates and validates the concept of memorable sustainable tourism experiences (MSTE) and examines their influence on tourists’ revisit intentions through an exploratory sequential mixed-method design. In the qualitative phase, in-depth interviews with eight tourism operators in Langkawi Island, Malaysia, were conducted to identify key dimensions of MSTE, which include hedonism, local culture, refreshment, knowledge, meaningfulness, novelty, involvement, responsible practices, and the role of local guides. These components were subsequently tested in the quantitative phase through a survey of 233 tourists who had participated in sustainable tourism experiences on the island. Data were analysed using partial least squares structural equation modelling (PLS-SEM), which revealed significant positive relationships between hedonism, local culture, refreshment, responsible practices and revisit intention. The study advances the theoretical understanding of MSTE by introducing novel dimensions such as responsible practices and the involvement of local guides. By integrating the perspectives of both tourism operators and tourists as well as employing a mixed-methods approach, this research addresses existing methodological and conceptual gaps in the literature. It contributes meaningfully to the growing body of knowledge on sustainable tourism and tourism experience. Furthermore, the findings offer practical implications for destination managers and tourism stakeholders aiming to strengthen tourist loyalty through the design of meaningful, memorable and sustainability-oriented experiences.; Niniejszy artykuł empiryczny bada koncepcję Niezapomnianych Zrównoważonych Doświadczeń Turystycznych (MSTE) oraz ich wpływ na zamiar ponownej wizyty turystów na wyspie Langkawi w Malezji. W badaniu zastosowano podejście metodą mieszaną, wykorzystując eksploracyjny sekwencyjny projekt badawczy. Analiza tematyczna została przeprowadzona na podstawie wywiadów z interesariuszami branży turystycznej, a następnie przeprowadzono ankietę wśród turystów uczestniczących w działaniach związanych ze zrównoważonym rozwojem. W badaniu zidentyfikowano kluczowe elementy MSTE, takie jak hedonizm, kultura lokalna, odświeżenie, wiedza, sensowność, nowość, zaangażowanie, odpowiedzialne praktyki oraz obecność lokalnego przewodnika. Ponadto modelowanie równań strukturalnych ujawniło pozytywne związki między hedonizmem, kulturą lokalną, odświeżeniem, odpowiedzialnymi praktykami a zamiarem ponownej wizyty. Niniejsze pionierskie badanie wnosi wkład w rozwój teoretyczny w zakresie zrównoważonych doświadczeń turystycznych, oferując jednocześnie praktyczne implikacje dla zarządzania destynacjami i rozwoju turystyki. 2025-12-30T00:00:00Z http://hdl.handle.net/11089/58236 Cost leadership strategies in low-cost airlines: A deep learning-based comparative analysis of Ryanair and Pegasus Yardi, Zehra; Aksöz, Emre Ozan Air transportation plays a crucial role in the development of the global tourism industry, facilitating the movement of travellers across different regions and enhancing accessibility to tourism destinations. Airline companies generally operate under traditional, low-cost, non-scheduled, or regional business models. This study focuses on low-cost carriers (LCCs) that implement a cost leadership strategy to maintain competitiveness in the industry. It investigates whether these airlines effectively apply this strategy, identifies their similarities and differences, and evaluates the impact of their cost leadership approach on social media perceptions. A mixed-methods approach was employed, incorporating two key methodologies: (a) document analysis of airline financial reports to assess cost leadership practices and (b) sentiment analysis of customer perceptions using deep learning algorithms, including recurrent neural networks (RNNs), long short-term memory (LSTM), bidirectional LSTM (Bi-LSTM), and gated recurrent units (GRUs). This AI-driven analysis ensured a high degree of classification accuracy in sentiment evaluation. The results indicate that Ryanair strictly adheres to its cost leadership strategy, yet it experiences lower customer satisfaction levels on social media. Conversely, Pegasus Airlines receives higher customer satisfaction ratings, but its cost leadership implementation is less effective. These results highlight the trade-off between operational cost efficiency and the overall tourism experience, offering valuable insights for airline executives, tourism policymakers and industry researchers. 2025-12-18T00:00:00Z