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داوران سال 1401

داوران 1402

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طراحی مدل پیامدهای کاربرد هوش مصنوعی و یادگیری ماشین در تبلیغات و فروش

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار مدیریت بازرگانی، دانشکده علوم اجتماعی، دانشگاه محقق اردبیلی، اردبیل، ایران

2 دانشجوی دکتری، دانشکده علوم اجتماعی، دانشگاه محقق اردبیلی، اردبیل، ایران

چکیده

دنیای دیجیتال فرصت‌های متعددی را برای بازاریابان فراهم می‌کند تا به مشتری دسترسی پیدا کنند. بااین‌حال، در دنیای پرسرعت، یافتن راه‌های جدید و نوآورانه برای تبلیغات و فروش محصولات و خدمات بسیار مهم است. با توجه به پیشرفت هوش مصنوعی و توسعه آن در حوزه تبلیغات و فروش، متخصصان در حال حاضر ابزارهایی برای بازتعریف کامل درک فعلی از برندسازی، بازاریابی، تبلیغات و فروش دارند. محبوبیت روزافزون اینترنت و افزایش استفاده از دستگاه‌های تلفن همراه، حجم عظیمی از داده‌ها را برای مصرف‌کنندگان تولید می‌کند که سیستم‌های مبتنی بر هوش مصنوعی را تغذیه می‌کنند. این پژوهش از نوع پژوهش‌های آمیخته با رویکرد کیفی و کمی است که ازنظر هدف، کاربردی و ازلحاظ نحـوه گـردآوری داده، از نوع مطالعات توصیفی پیمایشی است. جامعه آماری پژوهش، مدیران و کارشناسان متخصص در حوزه بازاریابی دیجیتال و IT در حوزه تبلیغات و فروش، بودند که با استفاده از روش نمونه‌گیری گلوله برفی انتخاب شدند. در بخش کیفی ابزار گردآوری اطلاعات، بررسی کتابخانه‌ای و مقالات، مصاحبه و در بخش کمـی پرسشنامه بود. در بخش کیفی روش تحلیل داده‌ها، با استفاده از تحلیل تم که با نرم‌افزار MAXQDA و بـا استفاده از روش کدگذاری تدوین شد و در بخش کمی، روش تحلیل بر مبنای آزمون همبستگی کندال بود. مطابق با نتایج پژوهش، 7 تم اصلی، 22 تم فرعی و 44 کد کشف شدند که شامل پیامدهای کاربرد هوش مصنوعی و یادگیری ماشین در تبلیغات و فروش بودند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Designing a model of the consequences of the application of artificial intelligence and machine learning in advertising and sales

نویسندگان [English]

  • Hosein Rahimi kolour 1
  • Rahim Mohammad khani 2

1 Associate Professor of Business Administration, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran

2 PhD student, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran

چکیده [English]

The digital world provides many opportunities for marketers to reach customers. However, in the fast-paced world, finding new and innovative ways to advertise and sell products and services is very important. Due to the advancement of artificial intelligence and its development in the field of advertising and sales, professionals now have the tools to completely redefine the current understanding of branding, marketing, advertising and sales. The growing popularity of the Internet and the increased use of mobile devices are generating massive amounts of consumer data that feed artificial intelligence-based systems. This research is a type of mixed research with a qualitative and quantitative approach, which is a survey descriptive study in terms of its purpose, application, and in terms of data collection. The statistical population of the research was managers and experts in the field of digital marketing and IT in the field of advertising and sales, who were selected using the snowball sampling method. In the qualitative part, the tools for collecting information were library and articles review, interviews, and in the quantitative part, questionnaires. In the qualitative part of the data analysis method, using the theme analysis that was compiled with MAXQDA software and using the coding method, and in the quantitative part, the analysis method was based on Kendall's correlation test. According to the results of the research, 7 main themes, 22 sub-themes and 44 codes were discovered, which included the consequences of using artificial intelligence and machine learning in advertising and sales

کلیدواژه‌ها [English]

  • : artificial intelligence
  • machine learning
  • big data
  • advertising and sales
مراجع
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مطالعات مدیریت کسب و کار هوشمند
دوره 12، شماره 48
تیر 1403
صفحه 223-270
فایل ها
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  • تاریخ دریافت: 21 آبان 1402
  • تاریخ بازنگری: 20 اسفند 1402
  • تاریخ پذیرش: 14 اسفند 1402
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