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The Effect of S-Commerce Tiktok Shop Recommendation Products on Changes in Consumer Impulsive Buying Behavior: A Study with Signaling Theory

Journal of Advances in Information Systems and Technology · Vol. 6 No. 1 (2024) · hlm. 45–61

DOI
10.15294/jaist.v6i1.1718
ISSN
2715-999X, 2714-9714
Terbit
2024-06-21
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

Product recommendation was introduced as a marketing technique that is quite commonly used in online shopping platforms, one of which is TikTok Shop. The use of recommended products in the digital market environment is intended to learn consumer interests and preferences so that the target market can conduct marketing. It is expected to make it easier for consumers to find their desired products. However, the use of product recommendations in the digital market also has the potential to have a negative effect in the form of forming consumer impulsive behavior. For this reason, this research was conducted to understand what factors of product recommendations can motivate consumer impulsive behavior at TikTok Shop and to see the effectiveness of video advertisements in motivating consumers to make purchases. In its implementation, this research uses the principles of signaling theory as the basis of research. Then, the research was carried out using a quantitative approach to collect and process data. The data collection method was carried out through questionnaire distribution by utilizing Google form as a data collection medium and social media as a medium for distributing questionnaires. Meanwhile, the data from the questionnaire was processed using the SmartPLS 3 application. The study results show that providing product recommendations through video content (VC) has the potential to shape consumer impulsive behavior.

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  • State University of Semarang
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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/jaist/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">The Effect of S-Commerce Tiktok Shop Recommendation Products on Changes in Consumer Impulsive Buying Behavior: A Study with Signaling Theory</dc:title>
	<dc:creator xml:lang="en">Salsabila, Asharinnisa</dc:creator>
	<dc:creator xml:lang="en">Prasetyo, Budi</dc:creator>
	<dc:subject xml:lang="en">Impulsive Buying</dc:subject>
	<dc:subject xml:lang="en">Product Recommendation </dc:subject>
	<dc:subject xml:lang="en">Video Content</dc:subject>
	<dc:subject xml:lang="en">Signaling Theory </dc:subject>
	<dc:description xml:lang="en">



Product recommendation was introduced as a marketing technique that is quite commonly used in online shopping platforms, one of which is TikTok Shop. The use of recommended products in the digital market environment is intended to learn consumer interests and preferences so that the target market can conduct marketing. It is expected to make it easier for consumers to find their desired products. However, the use of product recommendations in the digital market also has the potential to have a negative effect in the form of forming consumer impulsive behavior. For this reason, this research was conducted to understand what factors of product recommendations can motivate consumer impulsive behavior at TikTok Shop and to see the effectiveness of video advertisements in motivating consumers to make purchases. In its implementation, this research uses the principles of signaling theory as the basis of research. Then, the research was carried out using a quantitative approach to collect and process data. The data collection method was carried out through questionnaire distribution by utilizing Google form as a data collection medium and social media as a medium for distributing questionnaires. Meanwhile, the data from the questionnaire was processed using the SmartPLS 3 application. The study results show that providing product recommendations through video content (VC) has the potential to shape consumer impulsive behavior.



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	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-06-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/jaist/article/view/1718</dc:identifier>
	<dc:identifier>10.15294/jaist.v6i1.1718</dc:identifier>
	<dc:source xml:lang="en">Journal of Advances in Information Systems and Technology; Vol. 6 No. 1 (2024): April; 45-61</dc:source>
	<dc:source>2715-999X</dc:source>
	<dc:source>2714-9714</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jaist/article/view/1718/573</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Journal of Advances in Information Systems and Technology</dc:rights>
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