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Driving Green Product Purchase Intention through the Elaboration Likelihood Model: The Roles of Para-Social Interaction and Information Quality in Live-Streaming E-Commerce

Management Analysis Journal · Vol. 14 No. 3 (2025) · hlm. 318–328

DOI
10.15294/maj.v14i3.33458
ISSN
2502-1451, 2252-6552
Terbit
2025-09-30
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

This study examines how Information Quality and Para-Social Interaction influence Green Product Purchase Intention in live-streaming e-commerce using the Elaboration Likelihood Model (ELM). Driven by rising sustainable consumption trends, it explores their impact through Subjective Product Knowledge as a mediator, extending ELM by integrating cognitive and affective cues in Indonesia’s growing digital market. Data were collected from 140 young consumers (aged 17–37) in Semarang, Indonesia, who engage in live-streaming e-commerce. The analysis tested hypotheses, revealing that Information Quality enhances Subjective Product Knowledge, which drives purchase intention, while Para-Social Interaction directly and indirectly affects both. Subjective Product Knowledge mediates these relationships. This offers a novel application of ELM in sustainable consumer behavior in de-veloping countries. Practically, businesses can use high-quality information and trusted streamers to boost green product sales in global markets.

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31 penulis · 56 tautan kepenulisan bersama · 5 lintas organisasi

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  • State University of Semarang
  • Muria Kudus University
  • Universiti Sains Malaysia
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
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Rekan penulisOrganisasiArtikel bersama
Farida RahmawatiState University of Semarang1
Ariyati AriyatiState University of Semarang1
Ardea Yoga Oktarya GammaState University of Semarang1
Amin YusufState University of Semarang1
Endah Prapti LestariState University of Semarang1
Dwi CahyaningdyahState University of Semarang1
Kartika Dwi Chandra SariState University of Semarang1
AthoillahState University of Semarang1
Kris Brantas AbiprayuState University of Semarang1
Muhammad Ihlashul AmalState University of Semarang1
Fathimatuz ZahroState University of Semarang1
Zulnaidi YaacobUniversiti Sains Malaysia1
Euis SolihaState University of Semarang1
Rusdarti RusdartiState University of Semarang1
Candra Kusuma NurrahmanState University of Semarang1
Heri YantoState University of Semarang1
Bayu SetyajiState University of Semarang1
Risanda Alirastra BudiantoroState University of Semarang1
M. Aulia RachmanState University of Semarang1
SutonoMuria Kudus University1
Ag.Sunarno HandoyoMuria Kudus University1
Nur KhikmahState University of Semarang1
Feni ErmawatiState University of Semarang1
Tubagus FahmiState University of Semarang1
Nurul FatimahState University of Semarang1
Syam WidiaState University of Semarang1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/maj/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">Driving Green Product Purchase Intention through the Elaboration Likelihood Model: The Roles of Para-Social Interaction and Information Quality in Live-Streaming E-Commerce</dc:title>
	<dc:creator xml:lang="en">Prananta, Widya</dc:creator>
	<dc:creator xml:lang="en">Prihandono, Dorojatun </dc:creator>
	<dc:creator xml:lang="en">Wiratama, Bayu </dc:creator>
	<dc:creator xml:lang="en">Febriatmoko, Bogy </dc:creator>
	<dc:creator xml:lang="en">Dwi Praatmana, Nanang </dc:creator>
	<dc:subject xml:lang="en">Green Product Purchase Intention</dc:subject>
	<dc:subject xml:lang="en">Elaboration Like-Lihood Model</dc:subject>
	<dc:subject xml:lang="en">Para-Social Interaction</dc:subject>
	<dc:subject xml:lang="en">Information Quality</dc:subject>
	<dc:subject xml:lang="en">Subjective Product Knowledge</dc:subject>
	<dc:subject xml:lang="en">Live-Streaming E-Commerce </dc:subject>
	<dc:description xml:lang="en">This study examines how Information Quality and Para-Social Interaction influence Green Product Purchase Intention in live-streaming e-commerce using the Elaboration Likelihood Model (ELM). Driven by rising sustainable consumption trends, it explores their impact through Subjective Product Knowledge as a mediator, extending ELM by integrating cognitive and affective cues in Indonesia’s growing digital market. Data were collected from 140 young consumers (aged 17–37) in Semarang, Indonesia, who engage in live-streaming e-commerce. The analysis tested hypotheses, revealing that Information Quality enhances Subjective Product Knowledge, which drives purchase intention, while Para-Social Interaction directly and indirectly affects both. Subjective Product Knowledge mediates these relationships. This offers a novel application of ELM in sustainable consumer behavior in de-veloping countries. Practically, businesses can use high-quality information and trusted streamers to boost green product sales in global markets.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-09-30</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/maj/article/view/33458</dc:identifier>
	<dc:identifier>10.15294/maj.v14i3.33458</dc:identifier>
	<dc:source xml:lang="en">Management Analysis Journal; Vol. 14 No. 3 (2025): Special Edition; 318-328</dc:source>
	<dc:source>2502-1451</dc:source>
	<dc:source>2252-6552</dc:source>
	<dc:source>10.15294/maj.v14i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/maj/article/view/33458/6268</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Management Analysis Journal</dc:rights>
</oai_dc:dc>