Journals / Yildiz Social Science Review / 2026 / Cilt: 2 Sayı: 1

Benefit Segmentation of Internet Users and Their Addictive Behavior

Pages
21–30
Publication Date
2016-05-20
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is also aimed to define the behavioral differences based on the leading addictive signs of internet users.

📌 3 Key Takeaways

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Objective & Hypothesis:The dominance of technology is in consumers' daily life.
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Key Findings & Data:Some of them prefer to use technology for business purposes; some integrate their basic needs of entertainment and fun over the internet and social media usage.
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Conclusion & Impact:It is also aimed to define the behavioral differences based on the leading addictive signs of internet users.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Internet Usage · Internet Addiction · Benet Base Segmentation

Özet

The dominance of technology is in consumers' daily life. Some of them prefer to use technology for business purposes; some integrate their basic needs of entertainment and fun over the internet and social media usage. This research aims to understand the dierent levels of integration and the deepness of the Internet users' needs and connection of online time, which might be an indication of online addictions and addictive behavior. With this purpose internet user groups are compared by the main purpose of the internet and social media usages. It is also aimed to define the behavioral differences based on the leading addictive signs of internet users.

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Cite This Article

Kurtuluş, K., Kurtuluş, S., Bulut, D. (2016). Benefit Segmentation of Internet Users and Their Addictive Behavior. Yildiz Social Science Review, Cilt: 2 Sayı: 1, 21–30. https://ajindex.com/articles/1578123

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References (1)

  1. Aghdaie, M. H., S. H. Zolfani, and E. K. Zavadskas (2013). Market segment evaluation and selection based on application of fuzzy ahp and copras-g methods. Journal of Business Economics and Management 14 (1), 213-233.