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Growing Science » Authors » Turgut Gökçek

⭐ Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
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Jordan(175)
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Tehran Stock Exchange(94)
optimization(88)
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Naser Azad(82)
Zeplin Jiwa Husada Tarigan(70)
Mohammad Reza Iravani(65)
Endri Endri(45)
Hotlan Siagian(43)
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Barween Al Kurdi(32)
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Haitham M. Alzoubi(30)
Ni Nyoman Kerti Yasa(30)
Hassan Ghodrati(30)
Shankar Chakraborty(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Mahmoud Allahham(28)


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Sort articles by: 📖 Volume | 📅 Date | ⭐ Most Rates | 👁️ Most Views | 🚀 Rising Stars | 🔗 Citations (Scopus) | 🔥 Hot Papers
1.

The influence of social commerce information sharing on purchase intention and perceived risk: the mediating role of customer relationship quality and the moderating role of online reviews in the Turkish market Pages 11-26 PDF Download PDF

Authors: Afra Larfi, Sabri Öz, Muhannad Alboji, Turgut Gökçek, Gaye Gülsima Güzel

doi 10.5267/j.ijdns.2024.11.004

🔑 Keywords: Social media commerce, Social media marketing, Customer relationship quality, Perceived risk, Purchase intention, Social media science

Abstract:
Social commerce is an effective instrument for enterprises aiming to expand their customer base and enhance revenues. By mastering the implementation of social media platforms (SMPs) and surmounting the accompanying hurdles, brands may achieve significant achievements in social commerce. The article investigates the impact of social commerce information sharing (SCIN) on purchase intention and perceived risk in Turkey. This examines the influence of SCIN on customer relationship quality (CRQ) dimensions, including brand trust, commitment, and satisfaction. The study precisely intends to investigate the mediating of CRQ dimensions in the relationship between SCIN and purchase intention. The study also examines the mediator role of perceived risk in the relationship between SCIN and purchase intention. Also, the study examines how online reviews moderate the relationship between SCIN and customer outcomes such as purchase intention and perceived risk. The current study employs a sample of 314 participants from Turkey to explore the relationship between SCIN, brand trust, commitment, satisfaction, purchase intention, and perceived risk. The proposed conceptual model is tested using the Structural Equation Modeling-AMOS statistical approach. The results show that SCIN strongly predicts perceived risk, purchase intention, and CRQ dimensions, such as brand trust, commitment, and satisfaction. Furthermore, the study reveals that perceived risk does not directly mediate the relationship between SCIN and purchase intention. Instead, it confirms that purchase intention is a significant consequence of CRQ dimensions and perceived risk. The results also indicate that online reviews do not moderate the relationship between SCIN and customer outcomes, such as perceived risk and purchase intention. In summary, this study underscores the pivotal role of SCIN in influencing the decision-making process of Turkish customers, particularly in the context of making purchases. The findings carry significant practical implications for marketers of SMPs aiming to influence Turkish consumers, providing valuable insights to enhance their strategy in the Turkish market.
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Journal: IJDS | Year: 2025 | Volume: 9 | Issue: 1 | Views: 6067

 
2.

Building relationships on Instagram: Enhancing customer engagement and visit intentions in restaurant Pages 2351-2366 PDF Download PDF

Authors: Muhannad Alboji, Sabri Öz, Bahattin Gökhan Topal, Turgut Gökçek

doi 10.5267/j.ijdns.2024.5.021

🔑 Keywords: Instagram, Social Media Marketing, Online Engagement, Interaction, Behavioral Intention, Restaurant Industry

Abstract:
The study examines how Instagram interactions impact customer response in the restaurant context using the Stimulus-Organism-Response (SOR) framework. It explores how interactions on Instagram influence customers' intention to visit a restaurant, online engagement (OEG), and customer involvement (CI). The study highlights the significance of Instagram as a platform for effective interaction and relationship-building with customers, emphasizing its role in the hospitality industry. The study focuses on restaurant pages on Instagram, utilizing structural equation modeling to analyze data from a sample of 242 Instagram users in Turkey who are restaurant customers. The findings reveal that social media (SM) interactions are positively and significantly related to OEG, CI, and visit intention (VI). Furthermore, the results suggest that OEG and CI mediate the relationship between social media interactions (SMI) and VI, supporting the hypotheses concerning the indirect relationships between these variables. This research contributes to understanding SM dynamics and provides insights for restaurant marketers to enhance customer engagement and drive business growth.
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Journal: IJDS | Year: 2024 | Volume: 8 | Issue: 4 | Views: 6067

 

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