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Understanding Data-Driven Analytic Decision Making on Air Quality Monitoring an Empirical Study

Aptisi Transactions on Technopreneurship (ATT) · Vol. 6 No. 3 (2024) · hlm. 418–431

DOI
10.34306/att.v6i3.459
ISSN
2656-8888, 2655-8807
Terbit
2024-09-13
Penerbit
Pandawan
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Air quality monitoring is increasingly relying on data-driven analytic decision-making tools to provide accurate and timely information, forming the background of this study. The objective is to understand the factors influencing the adoption and usage behavior of these tools using the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The method involves incorporating UTAUT2 constructs Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Price Value (PV), Hedonic Motivation (HM), and Habit (H), alongside external variables such as Considered Risk (CR) and Considered Trust (CT). Data from 287 respondents were analyzed to assess their impact on Behavior Intention (BI) and Usage Behavior (UB). The results demonstrate that both trust and risk considerations significantly affect user behavior, underscoring the need to address these factors to enhance the adoption of air quality monitoring systems. In conclusion, this research provides valuable insights for developers and policymakers on improving the implementation and acceptance of data-driven technologies in environmental monitoring, thereby contributing to more effective air quality management.

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  • Universitas Raharja
  • Satya Wacana Christian University
  • Universitas Catur Insan Cendekia Cirebon
  • Universitas Banten Jaya
  • Atma Jaya Catholic University of Indonesia
  • Universitas Buddhi Dharma
  • Universitas Komputer Indonesia
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  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Ninda LutfianiUniversitas Raharja17
Nuke Puji Lestari SantosoUniversitas Raharja17
Po Abas SunaryaUniversitas Raharja11
Alfiah KhoirunisaUniversitas Raharja9
Hindriyanto Dwi PurnomoSatya Wacana Christian University9
Dwi ApriliasariUniversitas Raharja8
Sutarto WijonoSatya Wacana Christian University6
Ade IrianiSatya Wacana Christian University6
Eka Purnama HarahapUniversitas Raharja5
Shofiyul MillahUniversitas Raharja5
Adam FaturahmanUniversitas Raharja5
Dwi ApriliasariAfiliasi tidak diketahui5
Fitra Putri OgandaUniversitas Raharja4
Adi SetiawanSatya Wacana Christian University4
Iwan SetyawanSatya Wacana Christian University4
Hendry HendrySatya Wacana Christian University4
HenderiAfiliasi tidak diketahui4
Eko SediyonoSatya Wacana Christian University4
Theophilus WellemSatya Wacana Christian University3
Nesti Anggraini SantosoUniversitas Raharja3
Ihsan Nuril HikamUniversitas Raharja3
Natasya Aprila YusufUniversitas Raharja3
Joko SiswantoPoliteknik Keselamatan Transportasi Jalan3
Alwiyah AlwiyahUniversitas Wiraraja3
Chandra LukitaUniversitas Catur Insan Cendekia Cirebon2
Sudaryono SudaryonoUniversitas Banten Jaya2
Kristoko Dwi HartomoSatya Wacana Christian University2
Desy AprianiUniversitas Raharja2
Nur AzizahUniversitas Raharja2
Mohamad RakhmansyahUniversitas Raharja2
Agung RizkyUniversitas Raharja2
Umi NarimawatiUniversitas Komputer Indonesia2
Indri HandayaniUniversitas Raharja2
Yerik Afrianto SinggalenAtma Jaya Catholic University of Indonesia2
Benny DaniawanUniversitas Buddhi Dharma2
Tarisya RamadhanUniversitas Raharja2

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://att.aptisi.or.id/index.php/att/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">Understanding Data-Driven Analytic Decision Making on Air Quality Monitoring an Empirical Study</dc:title>
	<dc:creator xml:lang="en">Sembiring, Irwan</dc:creator>
	<dc:creator xml:lang="en">Manongga, Danny</dc:creator>
	<dc:creator xml:lang="en">Rahardja, Untung</dc:creator>
	<dc:creator xml:lang="en">Aini, Qurotul</dc:creator>
	<dc:subject xml:lang="en">Air Quality Monitoring</dc:subject>
	<dc:subject xml:lang="en">UTAUT2</dc:subject>
	<dc:subject xml:lang="en">Usage Behavior</dc:subject>
	<dc:subject xml:lang="en">Technology Adoption</dc:subject>
	<dc:subject xml:lang="en">Behavioral Intention</dc:subject>
	<dc:description xml:lang="en">Air quality monitoring is increasingly relying on data-driven analytic decision-making tools to provide accurate and timely information, forming the background of this study. The objective is to understand the factors influencing the adoption and usage behavior of these tools using the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The method involves incorporating UTAUT2 constructs Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Price Value (PV), Hedonic Motivation (HM), and Habit (H), alongside external variables such as Considered Risk (CR) and Considered Trust (CT). Data from 287 respondents were analyzed to assess their impact on Behavior Intention (BI) and Usage Behavior (UB). The results demonstrate that both trust and risk considerations significantly affect user behavior, underscoring the need to address these factors to enhance the adoption of air quality monitoring systems. In conclusion, this research provides valuable insights for developers and policymakers on improving the implementation and acceptance of data-driven technologies in environmental monitoring, thereby contributing to more effective air quality management.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2024-09-13</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://att.aptisi.or.id/index.php/att/article/view/459</dc:identifier>
	<dc:identifier>10.34306/att.v6i3.459</dc:identifier>
	<dc:source xml:lang="en">Aptisi Transactions on Technopreneurship (ATT); Vol. 6 No. 3 (2024): November; 418-431</dc:source>
	<dc:source xml:lang="id">Aptisi Transactions On Technopreneurship (ATT); Vol 6 No 3 (2024): November; 418-431</dc:source>
	<dc:source>2656-8888</dc:source>
	<dc:source>2655-8807</dc:source>
	<dc:source>10.34306/att.v6i3</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://att.aptisi.or.id/index.php/att/article/view/459/285</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Irwan Sembiring, Danny Manongga, Untung Rahardja, Qurotul Aini</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>