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تحلیل رضایت گردشگران از منظر هوش مصنوعی: یک مطالعه کتاب‌سنجی

نوع مقاله : مقاله پژوهشی

نویسنده

استادیار دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد، ایران

چکیده

یکی از چالش‌های اصلی صنعت گردشگری، افزایش رضایت گردشگران است. در سال‌های اخیر، استفاده از هوش مصنوعی جهت رفع این چالش رشد چشمگیری داشته است. این پژوهش با هدف مرور جامع مطالعات مرتبط، از روش کتاب‌سنجی برای تحلیل ساختار علمی فعلی، شناسایی روندهای تحول‌آفرین، الگوهای تحقیقاتی نوظهور و تعیین دستور کارهای آینده استفاده کرده است. پس از تعیین راهبرد جستجوی مناسب و اعمال شاخص‌های غربالگری، ۴۹۹ مقاله از پایگاه داده اسکوپوس استخراج و با استفاده از بسته بیبلیومتریکس در نرم‌افزار R تحلیل شدند. یافته‌ها نشان می‌دهند تحلیل احساسات و بررسی نظرات آنلاین گردشگران، به‌ویژه با بهره‌گیری از ابزارهای پردازش زبان طبیعی، نقش مهمی در درک نیازها و انتظارات مشتریان و بهبود رضایت آن‌ها دارد. استفاده از الگوریتم‌های یادگیری ماشینی برای شناسایی الگوهای رفتاری و پیش‌بینی نیازهای آینده می‌تواند به ارتقای تجربیات گردشگران در مقاصد کمک کند. همچنین تبلیغات شفاهی الکترونیک، به‌عنوان مفهوم نوظهور، تأثیر مستقیمی بر سطح رضایت گردشگران دارد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Analyzing Tourist Satisfaction Through Artificial Intelligence: A Bibliometric Study

نویسنده [English]

  • Faezeh Asadian Ardakani

Assistance Professor of Department of Management Sciences, Yazd University, Yazd, Iran

چکیده [English]

Increasing tourist satisfaction is a key challenge in the tourism industry. In recent years, the application of artificial intelligence to address this challenge has attracted significant attention, leading to a surge in related research. This study analyzes existing literature using a bibliometric approach to map the scientific landscape, identify emerging trends, and suggest future research directions. After applying appropriate search strategies and screening criteria, 499 articles were retrieved from Scopus and analyzed using the Bibliometrix package in R. The findings highlight that sentiment analysis and review of tourists' online feedback, especially through natural language processing tools, are crucial for understanding customer needs and enhancing satisfaction. Machine learning algorithms identifying behavioral patterns and predicting future demands significantly improve tourist experiences. Additionally, electronic word-of-mouth, as an emerging concept, directly impacts tourist satisfaction.

کلیدواژه‌ها [English]

  • Tourism and Hospitality Industry
  • Tourist Satisfaction
  • Artificial Intelligence
  • Bibliometric Analysis
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فصلنامه مطالعات مدیریت گردشگری
دوره 20، شماره 71
مهر 1404
صفحه 253-294
فایل ها
هم رسانی
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