Mochamad Rizal Yulianto
Muhammadiyah University of Sidoarjo

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THE INFLUENCE OF TIKTOK CONTENT ON DIGITAL MARKETING OF ELECTRONIC PRODUCTS ON E-COMMERCE: A SYSTEMATIC LITERATURE REVIEW Mochamad Rizal Yulianto; Akhmad Nur Mubarok; Muhammad Suyogo; Alshaf Pebrianggara; Istian Kriya Almanfaluti
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 9 (2024): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i9.588

Abstract

This study aims to analyze the influence of TikTok content on digital marketing of electronic products in e-commerce through a systematic literature review. TikTok, as an increasingly popular social media platform, offers various engaging content features for users. This study examines how elements of content on TikTok, such as creative short videos, viral challenges, and influencer collaborations, can affect digital marketing strategies and sales performance of electronic products on e-commerce platforms. The methodology used is systematic literature review (SLR) by gathering and analyzing various relevant previous studies on the topic. The findings of this review indicate that TikTok content has a significant impact on brand awareness, consumer engagement, and sales conversion. Effective marketing strategies implemented on TikTok can increase product exposure, attract consumer attention, and drive purchasing decisions. These findings provide valuable insights for digital marketing practitioners in leveraging social media platforms to enhance the marketing performance of electronic products in e-commerce.
THE INFLUENCE OF PRICE PERCEPTION, BRAND IMAGE, AND PRODUCT QUALITY ON BUYING INTEREST IN IPHONE SMARTPHONE PRODUCTS (A STUDY ON CONSUMERS IN SIDOARJO) Angraini Putri Imawati; Mochamad Rizal Yulianto; Rita Ambarwati Sukmono
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 9 (2024): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i9.926

Abstract

General Background: The rapid advancement of technology has significantly impacted consumer purchasing decisions, particularly in selecting smartphones. Consumers often consider factors like brand image, price perception, and product quality when choosing products. Specific Background: Among the vast range of smartphone options available, iPhone is a prominent choice, but the specific factors driving consumer interest in iPhone products, particularly in Sidoarjo, remain underexplored. Knowledge Gap: While much research has focused on general smartphone buying behavior, limited attention has been given to the specific interplay between price perception, brand image, and product quality in influencing buying interest for iPhones in regional markets like Sidoarjo. Aims: This study aims to examine the impact of price perception, brand image, and product quality on consumer buying interest in iPhone products in Sidoarjo, using Structural Equation Modeling (SEM) and Partial Least Squares (PLS) analysis. Results: From a sample of 110 respondents, the findings reveal that price perception, brand image, and product quality all have a significant positive effect on consumer buying interest. The R-square value of 0.700 suggests that 70% of the variation in buying interest is explained by these three variables. Novelty: This study provides novel insights into the Sidoarjo market, demonstrating that these factors substantially drive iPhone purchase interest, with brand reputation and perceived product quality playing key roles. Implications: The results highlight the importance of enhancing brand image and maintaining high product quality to increase consumer interest, which could inform marketing strategies for smartphone brands targeting regional markets like Sidoarjo. Future studies could explore additional variables influencing buying interest, given that 30% of the variation remains unexplained by the current model.