بررسی تأثیر فناوری‌های هوشمند بر قصد بازدید مجدد گردشگران با نقش میانجی هم‌آفرینی ارزش
محورهای موضوعی : مديريت دانش
محمد باشکوه اجیرلو
1
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ایمان قاسمی همدانی
2
1 - دانشیار مدیریت بازرگانی دانشگاه محقق اردبیلی
2 - دانشگاه محقق اردبیلی
کلید واژه: عوامل مبتنی بر مشتری, فناوری‌های مجهز بر هوش مصنوعی, اثربخشی هم‌آفرینی ارزش, مدیریت دانش, گردشگری.,
چکیده مقاله :
در قرن بیست ویکم رشد فناوری‌های نوین به ویژه در گردشگری امری اجتناب ناپذیر است. توسعه فناوری اطلاعات و ارتباطات هم موجب تحولات چشم گیر در رفتارهای گردشگری شده است. پژوهش حاضر به واکاوی عوامل موثر بر هم آفرینی ارزش از طریق فناوری‌های مجهز به هوش مصنوعی و مدیریت دانش در صنعت گردشگری پرداخته می‌شود. این پژوهش از نوع توصیفی – همبستگی است. جامعه آماری پژوهش، متشکل از کارکنان و خبرگان صنعت گردشگری است که بصورت تصادفی تعداد ۱۹۰ نفر از اعضای نمونه در دسترس قرار گرفتند. داده‌ها با استفاده از نرم‌افزار spss و روش حداقل مربعات جزئی و نرم‌افزار اسمارت پی.ال.اس. تجزیه و تحلیل شدند. عوامل مبتنی بر مشتری با ضریب ۳۶۴/۰ بر اثربخشی هم‌آفرینی ارزش، فناوری مجهز به هوش مصنوعی با ضریب ۸۰۲/۰ بر عوامل مبتنی بر مشتری و با ضریب ۰۹۷/۱ بر اثربخشی هم‌آفرینی ارزش، و نهایتا مدیریت دانش با ضریب ۵۴۰/۰ بر اثربخشی هم‌آفرینی ارزش تأثیر معنادار دارد. و عوامل مبتنی بر مشتری با ضریب ۲۹۲/۰ توانست رابطه بین فناوری مجهز به هوش مصنوعی و اثربخشی هم آفرینی ارزش را میانجی گری کند. بررسی نتایج این تحقیق نشان داد که تأثیر معنادار عوامل مبتنی بر مشتری، فناوری‌های مجهز به هوش مصنوعی و مدیریت دانش بر اثربخشی هم‌آفرینی ارزش مورد تأیید قرار گرفت. و عوامل مبتنی بر مشتری توانست رابطه بین فناوری‌های مجهز به هوش مصنوعی و اثربخشی هم‌آفرینی ارزش را میانجی‌گری کند. نهایتا فناوری‌های مجهز به هوش مصنوعی توانست رابطه بین عوامل مبتنی بر مشتری و اثربخشی هم‌آفرینی ارزش را میانجی‌گری نماید.
In the 21st century, the growth of new technologies, especially in tourism, is inevitable. The development of information and communication technology has also caused significant changes in tourism behavior. The current research is devoted to the analysis of the effective factors on value co-creation through technologies equipped with artificial intelligence and knowledge management in the tourism industry. This research is descriptive-correlation type. The statistical population of the research consists of employees and experts of the tourism industry, and 190 sample members were randomly selected. Data were analyzed using spss software and partial least squares method and Smart PLS software. were analyzed. Customer-based factors with a coefficient of 0.364 on the effectiveness of value co-creation, technology equipped with artificial intelligence with a coefficient of 0.802 on customer-based factors and with a coefficient of 1.097 on the effectiveness of value co-creation, and finally knowledge management with a coefficient of 0.540 The effectiveness of value co-creation has a significant impact. And customer-based factors with a coefficient of 0.292 were able to mediate the relationship between technology equipped with artificial intelligence and the effectiveness of value co-creation. Examining the results of this research showed that the significant effect of customer-based factors, technologies equipped with artificial intelligence and knowledge management on the effectiveness of value co-creation was confirmed. And customer-based factors were able to mediate the relationship between AI-enabled technologies and value co-creation effectiveness. Finally, technologies equipped with artificial intelligence were able to mediate the relationship between customer-based factors and the effectiveness of value co-creation.
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