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Enhancing AIKU Adoption: Insights from the Role of Habit in Behavior Intention

Aptisi Transactions on Technopreneurship (ATT) · Vol. 6 No. 1 (2024) · pp. 84–108

DOI
10.34306/att.v6i1.364
ISSN
2656-8888, 2655-8807
Published
2024-03-31
Publisher
Pandawan
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

This research focuses on exploring and understanding the role of Habit in sustaining the adoption and continuous use of AIKU technology as its primary objective. The UTAUT2 model was chosen, emphasizing the Habit variable (HT) along with 6 other key variables: Performance Expectancy (PEX), Effort Expectancy (EEX), Price Value (PV), Social Influence (SIN) on Behavioral Intention (BIN), and User Behavior (UB), with the addition of external variables Perceived Risk (PR) and moderating Gender and Experience. The research methodology involves data analysis using SmartPLS 4.0 software and the UTAUT2 model as the framework and theoretical foundation. Survey data were collected from 414 AIKU users in Indonesia. Findings based on data analysis indicate that factors such as PE, EE, and PV significantly positively influence BI to continue using AIKU. In addition to filling gaps in knowledge regarding the role of Habit in air quality technology literature, another finding is that H significantly positively influences BIN and UB, while BIN significantly positively influences UB. This research’s novelty and primary contribution lie in the implications concerning the crucial emphasis on the Habit factor in sustaining AIKU usage. The development implications underscore the importance of psychological factors in technology acceptance and retention, providing valuable insights for future strategy and policy development. Limitations of this research lie in the focus on the AIKU system affecting result generalization. Future research, expanding coverage, considering air quality system variations, employing diverse data collection methods such as in-depth interviews are recommended.

Keywords

Collaboration network of the authors

40 authors · 156 co-authorship links · 19 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Satya Wacana Christian University
  • Universitas Raharja
  • Atma Jaya Catholic University of Indonesia
  • Universitas Buddhi Dharma
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ninda LutfianiUniversitas Raharja13
Nuke Puji Lestari SantosoUniversitas Raharja11
Hindriyanto Dwi PurnomoSatya Wacana Christian University9
Po Abas SunaryaAffiliation unknown9
Alfiah KhoirunisaUniversitas Raharja8
Sutarto WijonoAffiliation unknown6
Ade IrianiSatya Wacana Christian University6
Dwi ApriliasariAffiliation unknown6
Untung RahardjaUniversitas Raharja5
Agung RizkyAffiliation unknown5
Shofiyul MillahAffiliation unknown5
Adam FaturahmanAffiliation unknown5
Nur AzizahUniversitas Raharja4
Hendry HendrySatya Wacana Christian University4
HenderiAffiliation unknown4
Adi SetiawanSatya Wacana Christian University3
Muhtarom MuhtaromAffiliation unknown3
Iwan SetyawanSatya Wacana Christian University3
Theophilus WellemAffiliation unknown3
Nesti Anggraini SantosoAffiliation unknown3
Ihsan Nuril HikamAffiliation unknown3
Natasya Aprila YusufAffiliation unknown3
Alwiyah AlwiyahAffiliation unknown3
Kristoko Dwi HartomoSatya Wacana Christian University2
Desy AprianiAffiliation unknown2
Mohamad RakhmansyahAffiliation unknown2
Umi NarimawatiAffiliation unknown2
Eka Purnama HarahapUniversitas Raharja2
Yerik Afrianto SinggalenAtma Jaya Catholic University of Indonesia2
Fitra Putri OgandaUniversitas Raharja2
Benny DaniawanUniversitas Buddhi Dharma2
Tarisya RamadhanAffiliation unknown2
Raihan RaihanAffiliation unknown2
Farida AgustinAffiliation unknown2
Marviola HardiniAffiliation unknown2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://att.aptisi.or.id/index.php/att/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Enhancing AIKU Adoption: Insights from the Role of Habit in Behavior Intention</dc:title>
	<dc:creator xml:lang="en">Sembiring, Irwan</dc:creator>
	<dc:creator xml:lang="en">Rahardja, Untung</dc:creator>
	<dc:creator xml:lang="en">Manongga, Danny</dc:creator>
	<dc:creator xml:lang="en">Aini, Qurotul</dc:creator>
	<dc:creator xml:lang="en">Wahab, Abdul </dc:creator>
	<dc:subject xml:lang="en">AIKU</dc:subject>
	<dc:subject xml:lang="en">Air Quality</dc:subject>
	<dc:subject xml:lang="en">HT</dc:subject>
	<dc:subject xml:lang="en">BIN</dc:subject>
	<dc:subject xml:lang="en">UTAUT2</dc:subject>
	<dc:description xml:lang="en">This research focuses on exploring and understanding the role of Habit in sustaining the adoption and continuous use of AIKU technology as its primary objective. The UTAUT2 model was chosen, emphasizing the Habit variable (HT) along with 6 other key variables: Performance Expectancy (PEX), Effort Expectancy (EEX), Price Value (PV), Social Influence (SIN) on Behavioral Intention (BIN), and User Behavior (UB), with the addition of external variables Perceived Risk (PR) and moderating Gender and Experience. The research methodology involves data analysis using SmartPLS 4.0 software and the UTAUT2 model as the framework and theoretical foundation. Survey data were collected from 414 AIKU users in Indonesia. Findings based on data analysis indicate that factors such as PE, EE, and PV significantly positively influence BI to continue using AIKU. In addition to filling gaps in knowledge regarding the role of Habit in air quality technology literature, another finding is that H significantly positively influences BIN and UB, while BIN significantly positively influences UB. This research’s novelty and primary contribution lie in the implications concerning the crucial emphasis on the Habit factor in sustaining AIKU usage. The development implications underscore the importance of psychological factors in technology acceptance and retention, providing valuable insights for future strategy and policy development. Limitations of this research lie in the focus on the AIKU system affecting result generalization. Future research, expanding coverage, considering air quality system variations, employing diverse data collection methods such as in-depth interviews are recommended.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2024-03-31</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/364</dc:identifier>
	<dc:identifier>10.34306/att.v6i1.364</dc:identifier>
	<dc:source xml:lang="en">Aptisi Transactions on Technopreneurship (ATT); Vol. 6 No. 1 (2024): March; 84-108</dc:source>
	<dc:source xml:lang="id">Aptisi Transactions On Technopreneurship (ATT); Vol 6 No 1 (2024): March; 84-108</dc:source>
	<dc:source>2656-8888</dc:source>
	<dc:source>2655-8807</dc:source>
	<dc:source>10.34306/att.v6i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://att.aptisi.or.id/index.php/att/article/view/364/249</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Irwan Sembiring, Untung Rahardja, Danny Manongga, Qurotul Aini, Abdul Wahab</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>