مدلسازی بازاریابی توصیه ای الکترونیکی بر مبنای متن کاوی نظرات کاربران، رویکردی نوین بر تجارت‌اجتماعی
محورهای موضوعی : مدیریت فناوری اطلاعات
الهام رمضانی
1
(دانشجوی دکتری، مدیریت فناوری اطلاعات، دانشکده مدیریت، دانشگاه آزاد اسلامی واحد تهران شمال، تهران، ایران. )
علی رجب زاده قطری
2
(تربیت مدرس)
وحید برادران
3
(دانشیار گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی واحد تهران شمال، تهران، ایران. )
مریم شعار
4
(استاديار، گروه مديريت صنعتی، دانشکده مديريت، دانشگاه آزاد اسلامی واحد تهران شمال، تهران، ایران. )
کلید واژه: توصیه ای الکترونیکی, تجارت اجتماعی, نظرات آنلاین مشتریان, متن‌کاوی, برند,
چکیده مقاله :
هدف از این مقاله ارائه مدل توصیهای الکترونیکی در تجارت اجتماعی مبتنی بر رویکرد متن‌کاوی نظرات کاربران در سایت‌های فروش‌اینترنتی است. به دلیل جدید بودن پژوهش‌ها در این حوزه و بهره‌گیری از روش متن‌کاوی نظرات کابران برای بیان متغیرهای این نوع از مدل بازاریابی، این پژوهش از نوع پژوهش‌های اکتشافی، توسعه‌ای است. روش مورد استفاده در این پژوهش، ترکیبی از کیفی و کمی است. در این راستا با مطالعۀ پژوهش‌های پیشین و همچنین دریافت، پیش پردازش و تحلیل 11هزار نظر آنلاین مشتریان در مورد محصولات دیجیتالی، انتخاب کلمات پرتکرار با برچسب مثبت صورت گرفت سپس با استفاده از الگوریتم Word2vec متغیرهای مدل بازاریابی توصیهای الکترونیکی با تکنیک متن‌کاوی استخراج شد و بدین‌شکل مدل بازاریابی توصیهای الکترونیکی ارائه شد. برازش مدل استخراج شده نیز بر اساس نظرات متخصصین و کاربران سایت‌های فروش اینترنتی در ایران به کمک پرسشنامه و با ابزار آماری حداقل مربعات جزئی مورد بررسی قرار گرفت. نمونه آماری نیز به دلیل نامحدود بودن جامعۀ آماری طبق فرمول کوکران 384 برآورد شد که به منظور بررسی و ارائه مدل نهایی از رویکرد معادلات ساختاری با نرم افزار PLS Smart استفاده شد. نتایج پژوهش نشان می‌دهد که تعامل مشتری، کیفیت پیام و تصویر ذهنی مشتری تاثیر مثبت و معناداری بر پلت‌فرم و جذابیت کانال توصیهای الکترونیکی خواهند داشت و در نهایت این دو متغیر تاثیر مثبت و معناداری بر رفتار مشتری و برند کسب‌و‌کار، خواهند داشت. این مدل، ابعاد تازه‌ای از متغیرهای توصیهای الکترونیکی را مورد تاکید قرار می‌دهد که برای فعالان و صاحبان کسب‌و‌کارها و بازاریابان راهگشا خواهد بود.
The purpose of this article is to present an Electronic Word of Mouth marketing model in social commerce Based on text mining User comments in sale sites. Due to the new research in this field and using the text mining method of user comments to express the variables of this type of marketing model, this research is a kind of Exploratory Developmental Research. The method used in this research Is combination of qualitative and quantitative. In this regard,by studying previous researches As well as receiving, preprocessing and analyzing 11thousand Customers Online Comments In the case of digital products, Repetitive words with a positive label were selected Then, using Word2vec algorithm The variables of the Electronic Word of Mouth marketing model Were extracted using text mining technique. Fitting the model extracted, based on the comments of experts and users of internet sales sites in Iran with the help of a Questionnaire and analysed with statistical tools of least squares. The statistical sample of the second phase Due to the unlimited statistical population it was estimated according to Cochran's formula 384. In order to review and present the final model from the structural equations approach with SmartPLS software was used. The results show that customer interaction, message quality and Customer mental image will have positive and significant impact on the Platform and channel attractiveness of Electronic word of mouth marketing channel, Finally, these two variables will have a positive and significant impact on the Customer behavior and business brand. This model emphasizes new dimensions of variables of the Electronic Word of Mouth marketing model that can be helpful for business owners and marketers.
ABĂLĂESEI, M., & SANDU, R. M.(2014) ELECTRONIC WORD OF MOUTH: FACTORS THAT INFLUENCE PURCHASE INTENTION
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