Προσωποποιημένο ταξίδι στον κλάδο εστίασης : έρευνα και ανάλυση για την ανάπτυξη εφαρμογής με τεχνολογία AI
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| Publicat a: | PQDT - Global (2025) |
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ProQuest Dissertations & Theses
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| Accés en línia: | Citation/Abstract Full Text - PDF Full text outside of ProQuest |
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| 001 | 3283382173 | ||
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| 020 | |a 9798270202309 | ||
| 035 | |a 3283382173 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 189128 |2 nlm | ||
| 100 | 1 | |a Εκίζογλου, Γεώργιος Αλέξανδρος | |
| 245 | 1 | |a Προσωποποιημένο ταξίδι στον κλάδο εστίασης : έρευνα και ανάλυση για την ανάπτυξη εφαρμογής με τεχνολογία AI | |
| 260 | |b ProQuest Dissertations & Theses |c 2025 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a Technology and especially Artificial Intelligence (AI) now play a crucial role in shaping customer experience and transforming business operations. The Food and Beverage (F&B) industry, as one of the most dynamic and competitive sectors, is strongly influenced by digital evolution and new forms of communication, information, and customer interaction. Within this context, the present study explores the degree to which technology is integrated into customer experience in the F&B industry and examines consumers’ attitudes towards digital innovations related to personalization, social interaction, and privacy protection. Chapter One presents the main concepts of artificial intelligence, big data, and smart systems, as well as their contribution to enhancing customer experience. Chapter Two focuses on the F&B sector, analyzing current trends, the characteristics of the Greek market, and examples of businesses that apply AI technologies to improve service quality and customer satisfaction. Chapter Three describes the research methodology, which was based on an online questionnaire that collected 191 responses. It explains the design of the research tool, the data collection process, and the methods used for statistical processing. Chapter Four presents the descriptive analysis of the results, including demographic information, consumer behavior, technological familiarity, and attitudes towards factors such as digital reputation, targeted offers, and personalized applications. Finally, Chapter Five summarizes the key findings and conclusions, assessing the three research hypotheses. The results show that digital reputation and social influence strongly affect consumers’ choice of venues, while the level of trust and control determines the acceptance of new technologies. At the same time, socially connected technologies enhance both customer experience and confidence. The study concludes with proposals for developing AI-based applications that improve customer experience in the F&B industry, offering personalized and interactive services while preserving the human touch and authenticity of hospitality. | |
| 653 | |a Big Data | ||
| 653 | |a Machine learning | ||
| 653 | |a Technology Acceptance Model | ||
| 653 | |a Natural language processing | ||
| 653 | |a Smartphones | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Business analytics | ||
| 653 | |a Data mining | ||
| 653 | |a Neural networks | ||
| 653 | |a Case studies | ||
| 653 | |a Behavioral psychology | ||
| 653 | |a Business administration | ||
| 653 | |a Information technology | ||
| 773 | 0 | |t PQDT - Global |g (2025) | |
| 786 | 0 | |d ProQuest |t ProQuest Dissertations & Theses Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3283382173/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3283382173/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u https://dione.lib.unipi.gr/xmlui/handle/unipi/18458 |