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Acceptance of Artificial Intelligence-Based Online Shopping Applications: A Combination of Artificially Intelligent Device Use Acceptance and Online Shopping Service Quality

Journal of Advances in Information Systems and Technology · Vol. 6 No. 1 (2024) · hlm. 62–86

DOI
10.15294/jaist.v6i1.2232
ISSN
2715-999X, 2714-9714
Terbit
2024-08-23
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

Nowadays, e-commerce, including Shopee, is often associated with Artificial Intelligence (AI). The use of AI systems triggers the emergence of new marketing methods to reach consumers effectively and offer a better shopping experience. Moreover, the increased use of AI in online commerce occurs because AI is considered an excellent tool to meet rapidly changing consumer demands. Currently, more sellers are using AI-supported features such as chatbots, smart logistics, and personalized recommendations. This makes online channels more competitive and enticing for consumers to make purchases. Despite the numerous benefits of e-commerce and AI, they are not exempt from shortcomings that make customers reluctant to use them. Therefore, this research aims to understand the relationship among factors influencing the acceptance and objection of AI-based Shopee by using a combination of Artificially Intelligent Device Use Acceptance (AIDUA) and Online Shopping Service Quality (OSSQ). The study employs a quantitative method with survey data collection techniques. The collected sample from the survey process consists of 169 respondents, mostly females aged 17-26 years, and students. The results obtained find that factors significantly influencing performance expectancy are social influence, hedonic motivation, anthropomorphism, website design, responsiveness, communication, and trustworthiness. Factors affecting effort expectancy are social influence, reliability, communication, anthropomorphism, and website design. Meanwhile, the factor influencing emotion is performance expectancy. Lastly, the factors influencing willingness to use and objection to use are emotion. Based on the research findings, Shopee developers can enhance the quality of their AI programming algorithms and improve the design quality of Shopee.

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40 penulis · 76 tautan kepenulisan bersama · 13 lintas organisasi · menampilkan 40 yang paling banyak terhubung

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  • State University of Semarang
  • Institut Teknologi Kalimantan
  • Tun Hussein Onn University of Malaysia
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Riza ArifudinState University of Semarang5
Alamsyah AlamsyahInstitut Teknologi Kalimantan3
Amin SuyitnoAfiliasi tidak diketahui3
Kholiq BudimanAfiliasi tidak diketahui2
Untsa Zaaidatunni'mahAfiliasi tidak diketahui2
Nuril AsyrofiyyahAfiliasi tidak diketahui2
Dany PradanaAfiliasi tidak diketahui2
Dwijanto DwijantoAfiliasi tidak diketahui2
Budi PrasetiyoState University of Semarang1
Much Aziz MuslimTun Hussein Onn University of Malaysia1
Jumanto JumantoState University of Semarang1
Rofik RofikState University of Semarang1
Anggyi Trisnawan PutraAfiliasi tidak diketahui1
zaenal abidinAfiliasi tidak diketahui1
Yahya Nur IfrizaState University of Semarang1
Chairun NisakAfiliasi tidak diketahui1
Kevin Tito HutahaeanAfiliasi tidak diketahui1
Defa RiandinaAfiliasi tidak diketahui1
Isa AkhlisState University of Semarang1
Taufik Fajar MubaroqAfiliasi tidak diketahui1
Rahmalia NuridaAfiliasi tidak diketahui1
Apriani SolikhatunAfiliasi tidak diketahui1
Thabeb Tholib BaladrafAfiliasi tidak diketahui1
Lukman Ibnu HaqiqiAfiliasi tidak diketahui1
Safit FirmansyahAfiliasi tidak diketahui1
Anita Ayu SeptiantinaAfiliasi tidak diketahui1
Arief Broto SusiloAfiliasi tidak diketahui1
Tomi Bagus NugrohoAfiliasi tidak diketahui1
Wahyu SyafrizalAfiliasi tidak diketahui1
Oktaria Gina KhoirunnisaAfiliasi tidak diketahui1
Yusuf AffandiAfiliasi tidak diketahui1
Erika Noor DiantiAfiliasi tidak diketahui1
Akbar Lintang AjiAfiliasi tidak diketahui1
Fabian Dominggus Eka BoroAfiliasi tidak diketahui1
Muhammad AfifudinAfiliasi tidak diketahui1
Ahmad Ramadhan AuniAfiliasi tidak diketahui1
Muhammad KharisAfiliasi tidak diketahui1
Fajar Eska PradhanaAfiliasi tidak diketahui1

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/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">Acceptance of Artificial Intelligence-Based Online Shopping Applications: A Combination of Artificially Intelligent Device Use Acceptance and Online Shopping Service Quality</dc:title>
	<dc:creator xml:lang="en">Tiffany Ovilia Dwi Lestari</dc:creator>
	<dc:creator xml:lang="en">Endang Sugiharti</dc:creator>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en">E-commerce</dc:subject>
	<dc:subject xml:lang="en">Generation Z</dc:subject>
	<dc:subject xml:lang="en"> Online Shopping</dc:subject>
	<dc:subject xml:lang="en">Service Quality</dc:subject>
	<dc:description xml:lang="en">Nowadays, e-commerce, including Shopee, is often associated with Artificial Intelligence (AI). The use of AI systems triggers the emergence of new marketing methods to reach consumers effectively and offer a better shopping experience. Moreover, the increased use of AI in online commerce occurs because AI is considered an excellent tool to meet rapidly changing consumer demands. Currently, more sellers are using AI-supported features such as chatbots, smart logistics, and personalized recommendations. This makes online channels more competitive and enticing for consumers to make purchases. Despite the numerous benefits of e-commerce and AI, they are not exempt from shortcomings that make customers reluctant to use them. Therefore, this research aims to understand the relationship among factors influencing the acceptance and objection of AI-based Shopee by using a combination of Artificially Intelligent Device Use Acceptance (AIDUA) and Online Shopping Service Quality (OSSQ). The study employs a quantitative method with survey data collection techniques. The collected sample from the survey process consists of 169 respondents, mostly females aged 17-26 years, and students. The results obtained find that factors significantly influencing performance expectancy are social influence, hedonic motivation, anthropomorphism, website design, responsiveness, communication, and trustworthiness. Factors affecting effort expectancy are social influence, reliability, communication, anthropomorphism, and website design. Meanwhile, the factor influencing emotion is performance expectancy. Lastly, the factors influencing willingness to use and objection to use are emotion. Based on the research findings, Shopee developers can enhance the quality of their AI programming algorithms and improve the design quality of Shopee.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-08-23</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/2232</dc:identifier>
	<dc:identifier>10.15294/jaist.v6i1.2232</dc:identifier>
	<dc:source xml:lang="en">Journal of Advances in Information Systems and Technology; Vol. 6 No. 1 (2024): April; 62 - 86</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/2232/1287</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Journal of Advances in Information Systems and Technology</dc:rights>
</oai_dc:dc>