Behavioral intention to continuously use learning apps: A comparative study from Taiwan universities

Huang, Duen-Huang; Chueh, Hao-En

doi:10.1016/j.techfore.2022.121531

Cited by 42Technology Adoption and User BehaviourMobile Learning in EducationHealth, Technology, Consumer Behavior

Behavioral intention to continuously use learning apps: A comparative study from Taiwan universities

Huang, Duen-Huang, Chueh, Hao-En·2022·Technological Forecasting and Social Change

DOI 10.1016/j.techfore.2022.121531

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Effort expectancy includes the dimension of perceived ease of use, which positively influences users' behavioral intention to adopt and use platform economy.
“Effort expectancy includes the dimension of perceived ease of use, which positively influences users' behavioral intention to adopt and use platform economy [17,42,43].”
From Unraveling the Determinants of Platform Economy Adoption in Developing Countries: An Extended Application of the UTAUT2 Model with a Privacy Calculus Perspective (2023) · cites this paper as [42]

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Authors: Huang, D.-H., & Chueh, H.-E.
Affiliations: Chaoyang University of Technology (TW)
Chung Yuan Christian University (TW)
Corresponding author: Chueh, Hao-En
ORCID: Huang, Duen-Huang
Chueh, Hao-En
Venue: Technological Forecasting and Social Change
Publisher: Elsevier BV
Published: 2022-04
Volume: 177
Pages: 121531
ISSN: 0040-1625 (ISSN-L)
DOI: 10.1016/j.techfore.2022.121531
OpenAlex: W4210328713
Cited by: 42
References: 62
Citations by year: 2026: 5 · 2025: 10 · 2024: 10 · 2023: 14 · 2022: 3
FWCI: 7.75
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Technological Forecasting and Social Change (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords: behavioral intention, language learning apps, continuance intention, technology acceptance, performance expectancy, effort expectancy, social influence, self-efficacy, facilitating conditions, kinesthetic learners, university students, digital language learning, COVID-19 pandemic

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