write long long results in points 1.2.3.4.5.6.7.8.9.1.11 to 15  about field study about meeting form with experts


Analysis of Question One


The following are the common points mentioned by the respondents in their answers regarding the current impact of artificial intelligence on the e-tourism business:

1. Artificial intelligence saves time and money, increases efficiency, and reduces human errors.
2. Artificial intelligence helps in providing excellent customer service and enhances personalization.
3. Artificial intelligence assists in data processing, data analysis, and decision-making.
4. Artificial intelligence helps in context analysis, automating and recognizing different usage patterns of e-tourism services.
5. Artificial intelligence predicts customer behavior and provides customized experiences.
6. Artificial intelligence supports virtual reality and augmented reality.

However, there are some differences in the ways the respondents look at the impact and usage of artificial intelligence in e-tourism business. For example:
 Mr. Mohamed Farouk focuses more on the specific examples of artificial intelligence usage such as chatbots, online customer service, face-to-face customer service, data processing, data analysis, virtual reality, and augmented reality.
2. Mrs. Heba Galal CM looks at how artificial intelligence assists in ensuring business data, collecting, analyzing, and organizing it to understand customers’ needs, and improving decision-making.
3. Prof. Agnis Stibe believes that artificial intelligence will upgrade some of the already existing technological tools and replace some of them. He also sees a massive upgrade in context analysis and automating different usage patterns of e-tourism services.
4. Dr. Ahmad Salah thinks Artificial intelligence has given the tourism industry an opportunity to expand by increasing sales, efficiency, and focus on offering unique products and services.
5. Dr. Yehia Abu El Hassan highlights that artificial intelligence has empowered companies to analyze and collect data on nationalities, ages, social levels, and prices. Artificial intelligence can read customer reviews and analyze their needs.

In conclusion, while all respondents agree that artificial intelligence has profoundly impacted the e-tourism business, each has a different approach on the specific aspects of it. While some focused on the general benefits that AI brings, others gave more specific examples.

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  Analysis of Question Two


Common points between the answers:

1. Artificial intelligence is already changing and will continue to change the tourism industry. The respondents believe that AI will play a significant role in shaping the future of the tourism industry. According to them, AI will revolutionize the way travel and tourism services are delivered, making them more efficient, accessible, and personalized.
2. AI will bring more innovative technologies and offer smart solutions during crises. The respondents suggest that AI has the potential to provide smart solutions during uncertain times, such as pandemics. They believe that AI can help the tourism industry overcome crises by providing innovative solutions and offering a better customer experience.
3. AI will cut repetitive work and replace the workforce that doesn’t offer any creative value. The respondents emphasize that AI can perform repetitive tasks that do not add significant value to the industry, such as data entry, booking management, and other routine tasks. They believe that by automating these tasks, AI can enhance efficiency and reduce costs.
4. AI will streamline processes and enhance customer experiences. The respondents suggest that AI can enhance customer experience by making it more seamless, efficient, and personalized. They argue that AI can help tourism-related businesses to better understand their customers’ preferences and offer them tailored solutions, such as personalized recommendations for their travel plans.

Different points made by the people mentioned in the answers:

1. Mr. Mohamed Farouk focuses on specific technologies such as blockchain, robots, and IoT and their implications for the travel industry. Mr. Farouk believes that these technologies can help make travel more efficient and connected by providing better visibility, security, and accessibility. He argues that these technologies can help the industry overcome its challenges and provide better services to customers.
2. MRs. Heba Galal, CM emphasizes the role of AI during crises and the changes in individual behavior during the Covid19 pandemic. Ms. Galal believes that AI can help the tourism industry deal with crises by providing innovative and smart solutions. She also points out that the pandemic has changed individual behavior and preferences, which requires the industry to adapt to the changing needs of customers.
3. Prof. Agnis Stibe sees a potential for AI to replace human to human interaction in a way that looks and acts like humans. Professor Stibe argues that AI can enhance human to human interaction by providing better communication channels, such as chatbots and voice assistants. He believes that these technologies can better understand human emotions and personalize the communication with travelers.
4. DR. Ahmad Salah focuses on how AI will affect OTA’s, hotels, and touristic sights and how it will streamline customer experiences. Dr. Salah believes that AI can help OTA’s, hotels, and touristic sights to provide better services and tailor their offerings to customers’ needs. He argues that AI can streamline processes, reduce costs, and enhance customer experiences.
5. DR. Yehia Abu El Hassan points out that AI is not being used enough in the tourism industry despite its potential. Dr. Hassan believes that the tourism industry can benefit significantly from AI by providing better service and enhancing the customer experience. He argues that not using AI enough can lead to missed opportunities and less efficient processes.
6. The respondents have different perspectives on how AI will affect future tourism based on their experiences and insights. Each respondent believes that AI will play a significant role in shaping the future of the tourism industry, but with different perspectives on how to implement and integrate AI.


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  Analysis of Question Three

Common Points:

1. All of the experts agree that the implementation of artificial intelligence (AI) can significantly improve airport security by identifying potential threats and increasing overall safety for travelers.
2. They all believe that AI’s precise and efficient nature can be used for airport security measures more effectively than human efforts.
3. They all suggest various ways in which AI can be best utilized to enhance airport security.

Different Points:

1. Mr. Mohamed Farouk lists a comprehensive range of AI use cases that can be widely used in airport security, such as video classification, processing recommendation systems, and chatbots.
2. Mrs. Heba Galal highlights how AI can help identify threats in the airport more rapidly by analyzing data from cameras and facial recognition technology.
3. Prof. Agnis Stibe emphasizes the potential for AI to track suspicious behavior patterns in travelers with criminal records and patterns to increase security measures.
4. Dr. Ahmad Salah discusses specific AI advancements in face and voice recognition technology, sensitive scanners, and alarms.
5. Dr. Yehia Abu El Hassan focuses on the use of AI in improving key operational functions at the airport, such as passport control and luggage inspection, which can expedite international airport security by providing faster and smarter safety techniques. Dr. Yehia Abu El Hassan discusses the need for a database to use AI, which is currently only present with major companies.
6. Some of the experts also provide examples of where AI is currently being used for airport security, highlighting its effectiveness and efficiency.

In conclusion, AI’s integration into airport security is highly beneficial and rapidly advancing. While all experts agree on the potential benefits, they point towards different facets on how AI can significantly contribute to airport security. Thus, AI implementation in airport security is paramount, and as the technology progresses, there are possibilities of exponents growth in airport security.

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  Analysis of Question Four

Common points:

1. All the individuals acknowledge that artificial intelligence has a significant impact on enhancing decision-making in e-tourism management. They agree that AI enables quicker decision-making processes and helps in automated decision-making.
2. Furthermore, they highlight the benefits of AI in areas such as personalization, recommendation, and dynamic pricing, leading to better customer service. AI is seen as a tool that can be used to improve customer experience, boost customer loyalty, and increase customer satisfaction.
3. Additionally, the respondents unanimously acknowledge that AI can enable real-time data analysis and visualization, which facilitates better decision-making. It also contributes to the efficiency of decision-making processes by collecting and analyzing vast amounts of data.
4. The respondents also agree that AI helps with earlier fraud detection, optimizing contingency management, and providing more accessibility to tourists. AI has the capability to access large amounts of data and identify patterns, which helps detect fraud early and optimize contingency management.

Different points:

1. Mohamed Farouk provides a list of practical applications where AI can help tourism managers make better decisions. He focuses primarily on how AI can customize the user experience, estimate flight and hotel rates, offer tailored services to the most valuable customers, and analyze sentiment on social media platforms.
2. Heba Galal highlights the role of AI in eliminating human error and delivering superior service. She emphasizes that AI can perform traditionally human functions and give more accessibility to tourists, which enhances the quality of life for both tourists and service providers.
3. Professor Agnis Stibe discusses how AI can learn from data and provide predictive insights that enhance the decision-making capacity of tourism managers. He also notes that AI can provide future-oriented decision-making predictions.
4. Dr. Ahmad Salah highlights the challenges that come with rapidly changing technology. He notes that decision-making has become more challenging due to the increasing volatility of the industry, which necessitates being aware of the latest news and continuous education to make effective decisions.
5. Dr. Yehia Abu El Hassan suggests that AI can help managers improve employee and customer relationships. He further notes that AI can be used to find patterns in large data sets and perform repeated tasks more efficiently.
6. The respondents emphasize different aspects of e-tourism management that AI can impact. While they all highlight the benefits of AI, their emphasis differs based on their professional backgrounds and experiences.
7. Each individual provides a unique perspective on how AI impacts decision-making in e-tourism, with varying emphasis on specific benefits and challenges. Their perspectives and insights provide a well-rounded understanding of the potential of AI in the tourism industry.


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  Analysis of Question Five

Common Points:

1. All respondents agree that governments play a critical role in developing and implementing Artificial Intelligence applications in e-tourism businesses.
2. They all recognize the importance of policies and regulations to govern the use of Artificial Intelligence in the tourism industry.
3. All respondents identify the valuable role of educating tourism industry workers about Artificial Intelligence to enhance their skills and ability to use the technology effectively.

Different Points:

1. Mohamed Farouk underlines the need for productivity-enhancing technologies such as cloud computing and data analytics as well as innovative technologies like augmented reality and geotagging in tourism to achieve better productivity, innovation, and competitiveness.
2. Heba Galal emphasizes the necessity for larger infrastructure requirements and associated pricing to facilitate the adoption of Artificial Intelligence technology in the tourism sector.
3. Prof. Agnis Stibe stresses the importance of government regulations and policies to manage Artificial Intelligence deployment in tourism, an example of which could be regulations for the sale and distribution of AI-based services and products.
4. Dr. Ahmad Salah highlights the need for educating tourism industry workers in using Artificial Intelligence by providing them with better training and development programs to reduce any bias and defensiveness that might exist when learning new technology.
5. Dr. Yehia Abu El Hassan suggests the use of a database and governments’ role in facilitating information access, communication, and pricing to enhance the use of AI in tourism businesses. This can help overcome the problem of data acquisition legitimacy, which is a significant challenge in using Artificial Intelligence technology in the real world.

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  Analysis of Question Six

Common Points:

1. Artificial intelligence’s development relies on collecting large amounts of good quality data.
2. Data can be collected from various sources and tools, such as social media, digital profiles, CRM systems, mobile apps, and sensor measure data.
3. Combining big data with artificial intelligence has the potential to automate many physical, processing, and collection tasks.
4. Ethics and privacy considerations are crucial in collecting and using personal data for artificial intelligence development.
5. Professionals with degrees in business data analytics can play an important role in making the most out of data analytics while addressing ethical and privacy concerns.


Different Points:

1. Mr. Farouk states that artificial intelligence’s capacity to recognize data trends is only useful if it can adapt to changes and fluctuations in those trends. Through identifying outliers in the data, Artificial Intelligence knows what pieces of customer feedback are considered significant and can adjust as necessary.
2. Mrs. Galal suggests that data can be collected from various tools and systems such as Google Analytics, automation platforms, content management systems, CRMs, and Facebook.
3. Prof. Agnis Stibe predicts that technology will continue to advance and eventually read data without asking for user input, such as with facial recognition.
4. Dr. Salah raises the concern of customer privacy and ethics that may limit the use of data. He also notes that many people are interested in technological advancements and artificial intelligence development and may agree to participate using their private data in the greater good.
5. Dr. Yehia Abu El Hassan suggests that data can be obtained from existing customers who have been dealt with during a certain period or purchasing it from companies. This data can be used to make an application for Artificial Intelligence.
6. Overall, the answers suggest that collecting data for artificial intelligence requires a systematic and ethical approach, including an agreed-upon methodology to data collection and a consideration of privacy and ethical concerns. Professionals with degrees in business data analytics can help companies maximize their data’s potential and address ethical and privacy concerns.


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  Analysis of Question Seven


Common Points among the answers regarding problems that hinder the use of artificial intelligence in small projects or enterprises:

1. Data privacy and security are major concerns in AI implementation.
2. Lack of technical knowledge or expertise is a hindrance to using AI.
3. Implementing AI technology can be costly.

Different Points among the answers:


Mr. Mohamed Farouk:
1. Computing power limitations
2. Trust deficit
3. Limited knowledge
4. Human-level understanding
5. Bias in algorithms
6. Data scarcity

Mrs. Heba Galal:
1. Lack of access to experts with expertise in AI
2. Data acquisition and storage issues
3. Cost factors surrounding adoption of AI
4. Slow speed of internet infrastructure

Prof. Agnis Stibe:
1. Inequality in access to AI technology, with big companies driving AI development
2. Need for more ethical considerations in how AI advancements are shared with smaller businesses
3. Open Artificial Intelligence as a possible solution for small businesses to access AI

Dr. Ahmad Salah:
1. Lack of availability or quality of customer data
2. Vague or non-existent statutory laws governing AI use
3. Time and budgetary constraints preventing investments in AI

Dr. Yehia Abu El Hassan:
1. Lack of funding as a major obstacle to AI adoption
2. Insufficient knowledge among small business owners about the benefits of AI
3. Reluctance to move away from traditional methods.