Reconnoitering Potential of Intellectual Property in the Tourism and Hospitality Industry DOI
Bhupinder Singh,

Kamalesh Ravesangar

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 29 - 54

Опубликована: Сен. 27, 2024

Intellectual property presents significant prospects for the hospitality and tourism sector, impacting various aspects such as operations, design, marketing, destination management, human resources, revenue accounting finance, strategic management more. IPR holds promise enhancing industry's visitor experience in a number of ways, including by providing tailored suggestions strengthening security protocols. Staff members may learn at their own speed way that suits learning preferences when customized training experiences are provided, depending on individual strengths limitations. However, incorporation GAI sector raises ethical, legal, social economic considerations demand thoughtful examination enterprises. This chapter explores diverse arena applications Tourism Hospitality Industry Strengthening Customer Relationships Delivering Better Experiences with futuristic approach.

Язык: Английский

How will I break AI? Post-Luddism in the AI age: Fuzzy MCDM synergy DOI
Sefer DARICI, Muhammad Riaz, Gülay Demir

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 202, С. 123327 - 123327

Опубликована: Март 18, 2024

Язык: Английский

Процитировано

9

Automated Travel Planning Via Multi-Agent Systems and Real-Time Intelligence DOI

Akshat Singh,

Raksha Madhogaria,

Abhishek Kumar Misra

и другие.

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Modern traveller nowadays has a real issue which is, how to collect the right and individual information out of hundreds travel sites for trip planning. Traditionally this process is slow and, most part, not real-time accurate. In order address these issues, paper introduces Travel Optix, multi-agent system that intelligently automates generates personalized itinerary in under 5min. Using CrewAI build intelligent agents, as well browserless Serper APIs extracting live data needed, provides plans based on user-input constraints, such forecasts, events, lodging, cost breakdowns. Comparison with best-in-class LLMs ChatGPT-4, Google Gemini, Ollama shows outperforms them all. advanced prompt engineering techniques, solution structured contextually aware responses exceptional accuracy. It also surpasses all others by incorporating providing quicker response times, paving way new industry standard. The agents are tailored perform each specialized role, allows work together tasks—to supplement other ultimately achieve greater productivity—specifically elevate efficiency. users filter compare different destinations data, drilling down choices even more. future, we planning upon existing technology integrating image recognition (large language models) further improve system's capabilities. paper, present approach, outcome, future capabilities demonstrate its potential revolutionizing

Язык: Английский

Процитировано

0

Measuring the Effectiveness of AI Tools in Clinical Research and Writing: A Case Study in Healthcare DOI Creative Commons
Sani Salisu, Osamah Mohammed Alyasiri, Hussain A. Younis

и другие.

Mesopotamian Journal of Artificial Intelligence in Healthcare, Год журнала: 2024, Номер 2024, С. 8 - 15

Опубликована: Янв. 14, 2024

This article investigates the capabilities and limitations of ChatGPT, a natural language processing (NLP) tool, large models (LLMs), developed from advanced artificial intelligence (AI). Designed to help computers understand produce text understandable by humans, ChatGPT is particularly aimed at general scientific writing healthcare research applications. Our methodology involved searching Scopus database for ’type 2 diabetes’ ’T2 articles reputable journals. After eliminating duplicates, we used formulate conclusions each selected inputting their structured abstracts, excluding original conclusions. Additionally, tested ChatGPT’s response simple misuse scenarios. findings show that can accurately grasp context concisely summarize primary findings. it helps individuals who are not as experienced in mathematical analysis providing coding guidelines analyses variety computer languages demystifying difficult model results. In conclusion, even if other AI technologies revolutionizing publishing healthcare, use should be strictly controlled authoritative laws.

Язык: Английский

Процитировано

4

Transforming Smart City and Smart Sustainable Tourism Projecting Artificial Intelligence and IoT DOI
Bhupinder Singh, Christian Kaunert

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 55 - 80

Опубликована: Авг. 16, 2024

The swift progress of technology has led to the emergence notions smart cities and tourism, which are expected significantly transform both urban living travel experiences. Modern is used by maximize services, increase sustainability, improve quality life for their citizens. A subset this more comprehensive strategy called “smart tourism” focuses on using these technologies travelers' experiences make travels frictionless, educational, pleasurable. Cities that effectively utilize have potential not just standard its citizens but also offer tourists unique sustainable These ideas will surely be crucial in determining how future tourist destinations shaped as they develop further. This chapter explores mutually beneficial link between tourism cities, emphasizing advantages, difficulties, developments.

Язык: Английский

Процитировано

4

How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations DOI Open Access
Lázaro Florido-Benítez, Benjamín Del Alcázar Martínez

Electronics, Год журнала: 2024, Номер 13(21), С. 4151 - 4151

Опубликована: Окт. 23, 2024

Artificial intelligence (AI) is a disruptive technology that being used by smart tourist destinations (STDs) to develop new business models and marketing services increase tourists’ experiences sales, revenue, productivity, efficiency STDs. However, the adoption of AI applications platforms requires high economic budget for STDs want integrate this digital tool into their future agenda tourism development plans, especially when they set them up plans operational processes. This iterative needs regular maintenance as well, leading recurring costs specialised crews in advanced technologies activities. study aims show impact advancements on STDs’ enhance quality illustrate improve experiences. A comprehensive literature review has been conducted agenda. Moreover, presents real examples context better understand potential tool. The findings current support idea multipurpose helps manage, monitor, analyse sales information; revenue management; minimise prediction errors; streamline operations; strategies, optimising resources, reducing costs, responding dynamically changing tourists residents Furthermore, investment products services, attract investments, which benefit regional economies population’s life. first address use STDs, its primary uniqueness. Also, identifies opportunities initiatives through can be developed help

Язык: Английский

Процитировано

4

Compendium law in iterative information management: a comprehensive model perspective DOI
Qiang Li, Zhi Li

Journal of Industrial Information Integration, Год журнала: 2025, Номер unknown, С. 100808 - 100808

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Enhancing network security in wireless sensor networks using artificial intelligence: A random forest approach DOI
Mohammed Basim Omar,

Zainab Ali Abbood,

Mustafa Lateef Fadhil Jumaili

и другие.

AIP conference proceedings, Год журнала: 2025, Номер 3264, С. 030012 - 030012

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

ChatGPT usage intention for tourism and hospitality customers DOI
Mohamed Abou‐Shouk, Ayman Abdelhakim, Sayed Darwish Elgarhy

и другие.

Tourism Recreation Research, Год журнала: 2025, Номер unknown, С. 1 - 18

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0

GPT-4 versus Bard and Bing: LLMs for Fake Image Detection DOI
Omar Mustafa Al-Janabi, Osamah Mohammed Alyasiri,

Elaf Ayyed Jebur

и другие.

Опубликована: Дек. 13, 2023

The recent emergence of sophisticated Large Language Models (LLMs) such as GPT-4, Bard, and Bing has revolutionized the domain scientific inquiry, particularly in realm large pre-trained vision-language models. This pivotal transformation is driving new frontiers various fields, including image processing digital media verification. In heart this evolution, our research focuses on rapidly growing area authenticity verification, a field gaining immense relevance era. study specifically geared towards addressing emerging challenge distinguishing between authentic images deepfakes – task that become critically important world increasingly reliant media. Our investigation rigorously assesses capabilities these advanced LLMs identifying differentiating manipulated imagery. We explore how models process visual data, their effectiveness recognizing subtle alterations, potential safeguarding against misleading representations. implications findings are far-reaching, impacting areas security, integrity, trustworthiness information platforms. Moreover, sheds light limitations strengths current handling complex tasks like thereby contributing valuable insights to ongoing discourse AI ethics reliability.

Язык: Английский

Процитировано

7

Traveling with ChatGPT and providing translation services for travelers DOI
Zheng Kundan, Md Sazzad Hossain, Mohammad Shahidul Islam

и другие.

Tourism Review, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 15, 2024

Purpose Language barriers have always been obstacles to traveling abroad, making travelers less interested. This study aims investigate how ChatGPT, as a translator, affects travelers’ behavioral intentions based on the perceived language using ChatGPT voice translation app. Design/methodology/approach A total of 531 responses were collected over specific survey period cross-sectional time frame. proposed research model technology acceptance (TAM) and unified theory use (UTAUT), hypotheses investigated bootstrapping techniques Smart-PLS analysis. Findings study’s results are significant they reveal that enables translated service enhances their willingness travel abroad. finding indicates considerable enhancement in traveler’s confidence communicating with residents, thereby emphasizing ChatGPT’s pivotal role overcoming industry. Originality/value is novel its approach it delineates influence services regarding international travel. By filling gap existing literature, this provides fresh perspective

Язык: Английский

Процитировано

2