Presenting the Knowledge Extraction Model of Users' Trust in Marketing Based on Information and Social Network Data

  • سال انتشار: 1403
  • محل انتشار: فصلنامه مطالعات پردازش دانش، دوره: 4، شماره: 3
  • کد COI اختصاصی: JR_IJKPS-4-3_010
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 194
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نویسندگان

Karim Ramezani

PhD candidate Department of Business Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

Hossein Bodaghi Khajeh Noubar

Assistant Prof. Department of Business Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

Naser Feghhi Farahmand

Associate Professor, Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

Morteza Mahmoodzadeh

Assistant Professor, Department of Business Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran

چکیده

This research aims to present a model for extracting knowledge on users' trust in marketing based on information and social network data. The study was applied in grounded theory. Cognitive framing was employed using various data collection methods such as library study, examination of specialized sources and texts, and semi-structured interviews. Using purposive sampling, ۱۴ experts were interviewed in ۲۰۲۳. The interviews were coded using ATLAS.TI software. To validate the results, data were evaluated and analyzed based on triangulation. The findings indicate a model of ۱۸ concepts and ۵۹ initial codes with ۶ main axes. The conditions for this model include ۶ concepts, background conditions with ۳ concepts (information & communication technology infrastructure in the country, emulation of solutions from top companies in social network marketing, & digital economy), intervening conditions with ۳ concepts (society's general knowledge level about information & communication technology tools, society's inclination toward engagement in social networks, & environmental changes), strategies with ۳ concepts (facilitating user interaction for exchange of opinions under advertisement, electronic word-of-mouth advertising, & education), and consequences with ۳ concepts (trust in & acceptance of advertisements by users, customer satisfaction, and economic productivity). The results indicate that the user trust model in social network-based marketing fundamentally utilizes network communications and interactions to structure trust and confidence.

کلیدواژه ها

Knowledge extraction, Information, and Social Network Data, electronic word-of-mouth advertising, Digital marketing

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.