1887
Volume 2024, Issue 1
  • EISSN: 2616-4930

Abstract

تهدف هذه الدراسة إلى التعرُّف على تطبيقات الذكاء الاصطناعي في السياحة الدينية، ومعرفة التحديات والحلول المقترَحة التي تواجه الذكاء الاصطناعي في السياحة الدينية، من خلال إجراء مراجعة منهجية لدراسات المتعلقة بموضوع الدراسة، وتجميعها وتحليلها. وقد جمعت هذه الدراسة الدراسات المنشورة في قاعدة بيانات كلٍّ من Google Scholar, Science Direct, IEEE خلال الفترة 2021-2023. ووفقاً لمعايير الشمول والاستبعاد المتبعة في هذه الدراسة، تم تحليل ثماني دراسات في مجال الدراسة. وأظهرت نتائج الدراسة بأن تطبيق الواقع الافتراضي هو الأكثر تكراراً واستخداماً في قطاع السياحة الدينية بنسبة 14.3%، يأتي على التوالي: روبوتات الدردشة Chatbots، والواقع المعزز، ونماذج التنبؤ بالمحاكاة والروبوتات الآلية بنسبة 10.3% بتكرار متساوٍ فيما بينها، وحصلت تطبيقات: مراقبة الحشود، وتقييم المخاطر، وأنظمة وقوف السيارات الذكي، وتحليل المشاعر، وتطبيقات الهاتف الذكية على 7.1% لكلٍّ منها، أما: الحوسبة المكانية، والمساعد الشخصي الذكي، وأجهزة الاستشعار والتعلم الآلي، والسوار الذكي، فقد حصلت على نسبة 3.6% لكلٍّ منها. كما توصلت الدراسة إلى أن الأمن والخصوصية من أهم التحديات التي تواجه الذكاء الاصطناعي في السياحة الدينية. وتمثلت توصيات الدراسة في ضرورة توفير إدارة للمخاطر، وإيجاد حلول صارمة من أجل الحفاظ على الأمن والخصوصية. ويمكن أن يفيد هذا البحث في مزيدٍ من البحوث المتخصصة والمستهدفة للسياحة الدينية والمتعلقة بتكنولوجيا المعلومات والاتصالات.

This study aimed to identify applications of artificial intelligence (AI) in religious tourism, determine the challenges involved, and propose their corresponding potential solutions by conducting a systematic review. Published studies on the subject were collected from Google Scholar, Science Direct, and IEEE databases spanning 2021–2023. Meeting the inclusion and exclusion criteria, eight studies were selected.

The study revealed that Virtual reality application —which is the most common application of artificial intelligence used in religious tourism—scored 14.3%, Then comes in succession: chatbots, augmented reality, simulation-prediction models, and automated robots scored 10.3% frequently, while crowd control, risk assessment, smart parking systems, sentiment analysis, and smartphone applications scored 7.1% each. Spatial computing, smart personal assistants, sensors, machine learning, and the Hajj smart bracelet scored 3.6% each. Furthermore, the study showed that security and privacy issues are the greatest challenges associated with AI applications in religious tourism. The study recommended the need for risk management and the development of rigorous solutions to ensure security and privacy. This research could serve as a useful foundation for more specialized research targeting religious tourism, particularly studies related to information and communication technology.

Loading

Article metrics loading...

/content/journals/10.5339/jist.2024.4
2024-03-31
2024-10-09
Loading full text...

Full text loading...

/deliver/fulltext/jist/2024/1/JIST.2024.issue1.4.html?itemId=/content/journals/10.5339/jist.2024.4&mimeType=html&fmt=ahah

References

  1. البصري، نصير عبدالرزاق، وحسن، نور منصور. (2021). تطبيقات المدينة الذكية ودورها في دعم السياحة الدينية. السبط, 7:(2)، 333-351.
    [Google Scholar]
  2. علي، إسلام السيد حسين، وعلي، حنان ماهر، وقاعود، مروة صلاح. (2022). تأثير تطبيق تقنية الذكاء الاصطناعي على إدارة الموارد البشرية في شركات السياحة المصرية أ، المجلة الدولية للتراث والسياحة والضيافة، 16:(3)، 23-36. مسترجع من http://search.mandumah.com/Record/1352736
    [Google Scholar]
  3. عمري، حدة. (2022). بين التقليدية والافتراضية تحول رقمي للسياحة في ظروف الجائحة، مجلة البحوث الاقتصادية والمالية، 9:(2)، 476-499. مسترجع من http://search.mandumah.com/Record/1350269
    [Google Scholar]
  4. مرزوقي، صابر يحيي. (2021). أثر استخدام تقنيات الذكاء الاصطناعي في الارتقاء بجودة الخدمات السياحية بالتطبيق على القطاع السياحي في جمهورية مصر العربية، المجلة الدولية للتراث والسياحة والضيافة، 15:(3)، 21-58. مسترجع من http://search.mandumah.com/Record/1392579
    [Google Scholar]
  5. النملة، يوسف إبراهيم حمد. (2022). مهارات سوق العمل، مراجعة منهجية للدراسات المنشورة من عام 2016 حتى نهاية عام 2022، مجلة العلوم الإنسانية والاجتماعية، (65).
    [Google Scholar]
  6. هشام، شاكي، وبوخاري، سمية. (2021). تقنيات الذكاء الاصطناعي ودورها في تفعيل الصناعة السياحية الرقمية: رؤية تحليلية لحالة الجزائر خلال الفترة (2000-2020)، مجلة الآفاق للدراسات الاقتصادية، 6:(2)، 213-229. مسترجع من http://search.mandumah.com/Record/1250973
    [Google Scholar]
  7. Abalkhail, A. A. A., & Al Amri, S. M. A. (2022). Saudi Arabia’s management of the Hajj season through artificial intelligence and sustainability. Sustainability, 14:(21), 14142. https://doi.org/10.3390/su142114142
    [Google Scholar]
  8. Abas, R., Zahari, M. S. M., & Radzi, S. M. (2022). The influence of technology in tapping the full potential of Islamic tourism. International Journal of Social Science Research, 4:(1), 105–114.
    [Google Scholar]
  9. Abd El Kafy, J. H., Eissawy, T. M., & Hasanein, A. M. (2022). Tourists’ perceptions toward using artificial intelligence services in tourism and hospitality. Journal of Tourism, Hotels and Heritage, 5:(1), 1–20. https://doi.org/10.21608/sis.2022.145976.1064
    [Google Scholar]
  10. Abo-Elsoud, E., & Morsy, J. (2022). The role of artificial intelligence in improving service and strengthening tourist experience in Egypt. Journal of the Faculty of Tourism and Hotels, Mansoura University, 11:(2), 821–855.https://doi.org/10.21608/mkaf.2022.254023
    [Google Scholar]
  11. Alaei, A. R., Becken, S., & Stantic, B. (2019). Sentiment analysis in tourism: Capitalizing on big data. Journal of Travel Research, 58:(2), 175–191.
    [Google Scholar]
  12. Alkan, T., Dokuz, Y., Ecemiş, A., Bozdağ, A., & Durduran, S. S. (2023). Using machine learning algorithms for predicting real estate values in tourism centers. Soft Computing, 27:(5), 2601–2613.
    [Google Scholar]
  13. Al-Shaery, A. M., Aljassmi, H., Ahmed, S. G., Farooqi, N. S., Al-Hawsawi, A. N., Moussa, M., Tridane, A., & Alam, M. D. (2022). Real-time pilgrims management using wearable physiological sensors, mobile technology and artificial intelligence. IEEE Access, 10:, 120891–120900.
    [Google Scholar]
  14. Battour, M., Mady, K., Elsotouhy, M., Salaheldeen, M., Elbendary, I., Marie, M., & Elhabony, I. (2022). Artificial intelligence applications in Halal tourism to assist Muslim tourist journey. In Proceedings of International Conference on Emerging Technologies and Intelligent Systems: ICETIS 2021 (Vol. 322, pp. 861–872):. Springer International Publishing.
    [Google Scholar]
  15. Bilińska, K., Pabian, B., Pabian, A., & Reformat, B. (2023). Development trends and potential in the field of virtual tourism after the COVID-19 pandemic: Generation Z example. Sustainability, 15:(3), 1889.
    [Google Scholar]
  16. Binsawad, M., & Albahar, M. (2022). A technology survey on IoT applications serving Umrah and Hajj. Applied Computational Intelligence and Soft Computing, 2022, 1919152.
    [Google Scholar]
  17. Buele, I., & Guerra, T. (2021). Bibliometric analysis of scientific production on tax evasion in ScienceDirect, years 2010 to 2019. Journal of Legal, Ethical and Regulatory Issues, 24:(2), 1–15.
    [Google Scholar]
  18. Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. Handbook of e-tourism (pp. 1943–1962). Springer International Publishing.
    [Google Scholar]
  19. Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science, 136:, 16–24.
    [Google Scholar]
  20. Chirisa, I., Mutambisi, T., Chivenge, M., Mbasera, M., Sidambe, M., Muchenje, B., &Zengeni, D. (2020). Scope for virtual tourism in the times of COVID-19 in select African destinations. Journal of Social Sciences, 64:(1-3), 1-13.
    [Google Scholar]
  21. Diaz Ogás, M. G., Fabregat, R., & Aciar, S. (2020). Survey of smart parking systems. Applied Sciences, 10:(11), 3872.
    [Google Scholar]
  22. Dickinson, J. E., Ghali, K., Cherrett, T., Speed, C., Davies, N., & Norgate, S. (2014). Tourism and the smartphone app: Capabilities, emerging practice and scope in the travel domain. Current Issues in Tourism, 17:(1), 84–101.
    [Google Scholar]
  23. Dickson, B. (2023, June 15). What is spatial computing? A basic explainer. PCMag Middle East. https://me.pcmag.com/en/vr/17590/what-is-spatial-computing-a-basic-explainer
  24. Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: A systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34:(3), 1154–1176.https://doi.org/10.1108/IJCHM-06-2021-0767
    [Google Scholar]
  25. Felemban, E. A., Rehman, F. U., Biabani, S. A. A., Ahmad, A., Naseer, A., Majid, A. R. M. A., Hussain, O. K., Qamar, A. M., Falemban, R., & Zanjir, F. (2020). Digital revolution for Hajj crowd management: A technology survey. IEEE Access, 8:, 208583–208609.
    [Google Scholar]
  26. Frąckiewicz, M. (2023, May 17). The role of spatial computing in cultural heritage and tourism. TS2 SPACE. https://ts2.space/en/the-role-of-spatial-computing-in-cultural-heritage-and-tourism/
  27. Gaafar, A. S. M., & Allah, H. (2020). Artificial intelligence in Egyptian tourism companies: Implementation and perception. Journal of Association of Arab Universities for Tourism and Hospitality, 18:(1), 66–78.
    [Google Scholar]
  28. Gobiet, M. (2023, August 10). 10 AI trends you should watch out for in 2024. AI-chatbot software for complex requirements. https://onlim.com/en/artificial-intelligence-trends/
  29. Gunduz, M. Z., & Das, R. (2020). Cyber-security on smart grid: Threats and potential solutions. Computer Networks, 169:, 107094.
    [Google Scholar]
  30. Harahsheh, S., Haddad, R., & Alshorman, M. (2020). Implications of marketing Jordan as a Halal tourism destination. Journal of Islamic Marketing, 11:(1), 97–116.
    [Google Scholar]
  31. Hong, Y., Lian, J., Xu, L., Min, J., Wang, Y., Freeman, L. J., & Deng, X. (2023). Statistical perspectives on reliability of artificial intelligence systems. Quality Engineering, 35:(1), 56–78.
    [Google Scholar]
  32. Ivanov, S. H., & Umbrello, S. (2021). The ethics of artificial intelligence and robotization in tourism and hospitality – A conceptual framework and research agenda. Journal of Smart Tourism, 1:(4), 9–18.https://doi.org/10.52255/SMARTTOURISM.2021.1.4.3
    [Google Scholar]
  33. Jaelani, A., Firdaus, S., Sukardi, D., Bakhri, S., & Muamar, A. (2021). Smart city and Halal tourism during the Covid-19 pandemic in Indonesia. Rosa dos Ventos, 13:(4), 1–30.
    [Google Scholar]
  34. Jarrar, Y., Awobamise, A., & Sellos, P. (2020). Technological readiness index (TRI) and the intention to use smartphone apps for tourism: A focus on inDubai mobile tourism app. International Journal of Data and Network Science, 4:(3), 297–304.
    [Google Scholar]
  35. Khan, R., Shrivastava, P., Kapoor, A., Tiwari, A., & Mittal, A. (2020). Social media analysis with AI: Sentiment analysis techniques for the analysis of Twitter COVID-19 data. Journal of Critical Reviews, 7:(9), 2761–2774.
    [Google Scholar]
  36. Kilichan, R., & Yilmaz, M. (2020). Artificial intelligence and robotic technologies in tourism and hospitality industry. Erciyes Universitesi Sosyal Bilimler Enstitüsü Dergisi, 50:, 353–380.
    [Google Scholar]
  37. Kirtil, I. G., & Aşkun, V. (2021). Artificial intelligence in tourism: A review and bibliometrics research. Advances in Hospitality and Tourism Research (AHTR), 9:(1), 205–233.
    [Google Scholar]
  38. Lai, C. S., Jia, Y., Dong, Z., Wang, D., Tao, Y., Lai, Q. H., Wong, R. T. K., Zobaa, A. F., Wu, R., & Lai, L. L. (2020). A review of technical standards for smart cities. Clean Technologies, 2:(3), 290–310.
    [Google Scholar]
  39. Laufs, J., Borrion, H., & Bradford, B. (2020). Security and the smart city: A systematic review. Sustainable Cities and Society, 55:, 102023.
    [Google Scholar]
  40. Law, R., Buhalis, D., & Cobanoglu, C. (2014). Progress on information and communication technologies in hospitality and tourism. International Journal of Contemporary Hospitality Management, 26:(5), 727–750.
    [Google Scholar]
  41. Lawton, G., Carew, J. M., & Burns, E. (2022, January 21). What is predictive modeling? Enterprise AI. https://www.techtarget.com/searchenterpriseai/definition/predictive-modeling
  42. Lockwood, C., Munn, Z., & Porritt, K. (2015). Qualitative research synthesis: Methodological guidance for systematic reviewers utilizing meta-aggregation. International Journal of Evidence-Based Healthcare, 13:(3), 179–187.
    [Google Scholar]
  43. Marlinda, A. P., Cipto, B., Al-Fadhat, F., & Jubba, H. (2021, March). The influence of artificial intelligence to support Halal tourism policy in South Korea. IOP Conference Series: Earth and Environmental Science, 717:(1), 012027
    [Google Scholar]
  44. Montes, G. A. (2022, May 17). What is spatial computing and how is it revolutionizing our world? VERSES. https://www.verses.ai/blogs/what-is-spatial-computing-and-how-is-it-revolutionizing-our-world
  45. Muaremi, A., Seiter, J., Tröster, G., & Bexheti, A. (2013, September). Monitor and understand pilgrims: Data collection using smartphones and wearable devices. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (pp. 679–688).
    [Google Scholar]
  46. Oseni, A., Moustafa, N., Janicke, H., Liu, P., Tari, Z., & Vasilakos, A. (2021). Security and privacy for artificial intelligence: Opportunities and challenges. arXiv preprint arXiv:2102.04661.
    [Google Scholar]
  47. Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. British Medical Journal, 372:, n71. https://doi.org/10.1136/bmj.n71; for more information, see: http://www.prisma-statement.org/
    [Google Scholar]
  48. Parvez, M. O. (2020). Use of machine learning technology for tourist and organizational services: High-tech innovation in the hospitality industry. Journal of Tourism Futures, 7:(2), 240–244.
    [Google Scholar]
  49. Rahman, M., Moghavvemi, S., Thirumoorthi, T., & Rahman, M. K. (2020). The impact of tourists’ perceptions on halal tourism destination: A structural model analysis. Tourism Review, 75:(3), 575–594.
    [Google Scholar]
  50. Rahmawati, R., Oktora, K., Ratnasari, S. L., Ramadania, R., & Darma, D. C. (2021). Is it true that Lombok deserves to be a halal tourist destination in the world? A perception of domestic tourists. Geo Journal of Tourism and Geosites, 34:(1), 94–101.
    [Google Scholar]
  51. Ratnasari, R. T., Gunawan, S., Mawardi, I., & Kirana, K. C. (2021). Emotional experience on behavioral intention for halal tourism. Journal of Islamic Marketing, 12:(4), 864–881.
    [Google Scholar]
  52. Samara, D., Magnisalis, I., & Peristeras, V. (2020). Artificial intelligence and big data in tourism: A systematic literature review. Journal of Hospitality and Tourism Technology, 11:(2), 343–367.
    [Google Scholar]
  53. Seshadri, D. R., Li, R. T., Voos, J. E., Rowbottom, J. R., Alfes, C. M., Zorman, C. A., & Drummond, C. K. (2019). Wearable sensors for monitoring the physiological and biochemical profile of the athlete. NPJ Digital Medicine, 2:(1), 72.
    [Google Scholar]
  54. Shambour, M. K., & Gutub, A. (2022). Progress of IoT research technologies and applications serving Hajj and Umrah. Arabian Journal for Science and Engineering, 47:, 1253–1273.
    [Google Scholar]
  55. Sheldon, R. (2022, August 3). What is virtual reality? WhatIs.com. https://www.techtarget.com/whatis/definition/virtual-reality
  56. Shu, L., Yu, Y., Chen, W., Hua, H., Li, Q., Jin, J., & Xu, X. (2020). Wearable emotion recognition using heart rate data from a smart bracelet. Sensors, 20:(3), 718.
    [Google Scholar]
  57. [Google Scholar]
  58. Taherdoost, H., & Madanchian, M. (2023). Artificial intelligence and sentiment analysis: A review in competitive research. Computers, 12:(2), 37.
    [Google Scholar]
  59. Turney, S. (2023, June 22). Systematic review: Definition, example, & guide. Scribbr. https://www.scribbr.com/methodology/systematic-review/
    [Google Scholar]
  60. Varfolomeyev, A., Korzun, D., Ivanovs, A., Petrina, O. (2014). Smart personal assistant for historical tourism. In Proceedings of the 2nd International Conference on Environment, Energy, Ecosystems and Development (EEEAD’2014) (pp. 9–15).
    [Google Scholar]
  61. Verghese, A., Shah, N. H., & Harrington, R. A. (2018). What this computer needs is a physician: Humanism and artificial intelligence. Journal of the American Medical Association, 319:(1), 19–20.
    [Google Scholar]
  62. Verma, S., Warrier, L., Bolia, B., & Mehta, S. (2022). Past, present, and future of virtual tourism-a literature review. International Journal of Information Management Data Insights, 2:(2), 100085.
    [Google Scholar]
  63. Wray, S. (2021, September 29). Why the city of Amsterdam developed its own crowd monitoring technology. Cities Today – Connecting the world’s urban leaders. https://cities-today.com/why-the-city-of-amsterdam-developed-its-own-crowd-monitoring-technology/
    [Google Scholar]
  64. Yigitcanlar, T., Kankanamge, N., & Vella, K. (2022). How are smart city concepts and technologies perceived and utilized? A systematic geo-Twitter analysis of smart cities in Australia. In Sustainable smart city transitions (pp. 133–152). Routledge.
    [Google Scholar]
/content/journals/10.5339/jist.2024.4
Loading
/content/journals/10.5339/jist.2024.4
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error