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An extended UTAUT model to explain the adoption of mobile banking
Abstract
This research attempts to identify the factors leading to the adoption of mobile banking and the degree of influence of each one of the factors in Thailand. It proposes a comprehensive framework that extends the existing UTAUT model with important constructs such as perceived credibility, perceived cost, and perceived convenience. A three-pronged approach, consisting of an extensive review of the literature, expert interviews, and a field survey of mobile banking adoption is put forward. A field survey of respondents was undertaken with both convergent and discriminant validities being conducted. The results of the structural equation modeling show that performance expectancy, effort expectancy, social influence, perceived credibility, perceived convenience, and behavioral intention to use mobile banking posited a positive relationship. Contrary to previous studies, the hypotheses testing perceived that financial cost and facilitation conditions in the adoption of mobile banking were not supported. Discussions and conclusions including academic and practical implications are also presented.
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“it is also documented that other streams of studies reported no significant influence of facilitating conditions on the intention to use a technology [47,48,66].”
From A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator (2020) · cites this paper as [48]
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“This finding aligns with research by Al Tarawneh et al. (2023), Abu-Taieh et al. (2022), and Bhatiasevi (2016), which demonstrated that the simplicity and user-friendliness of mobile banking apps are critical for user acceptance.”
Wu, G. Q., & Gong, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1136351 · Cited by 17
“We find that there has been a growing trend of its extension on finance-related contexts recently (Yu, 2012; Bhatiasevi, 2016; Jiang et al., 2019; Xie et al., 2021), and some UTAUT constructs could exhibit sufficient predictive power (Venkatesh et al., 2011; Chang, 2012).”
BackgroundResultInfluentialEffects of UTAUT 2 Model on the Use of BCA Mobile Banking in Indonesia
al., A. S. E. (2021) · Türk bilgisayar ve matematik eğitimi dergisi · doi:10.17762/turcomat.v12i3.2183 · Cited by 14
“Bhatiasevi (2016) drew the same conclusion in the research performed to identify factors affecting m-banking adoption in Thailand. It was the same with Albashrawi et al, (2017), by observing sample of bank consumers in US.”
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Intention to Use M–Banking: The Role of E–WOM
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“PE is an important predictor of behavioral intention and was observed to have a significant impact on the CUI of online courses (Yang et al., 2017), food delivery apps (Lee et al., 2019), health and fitness apps (Yuan et al., 2015) and m-banking (Bhatiasevi, 2016).”
BackgroundZhang, M., & Zhang, H. (2024) · SAGE Open · doi:10.1177/21582440241287593 · Cited by 11
“Bhatiasevi (2016) found a positive correlation between social impact and behavioral intention to use mobile banking (Baabdullah, 2018).”
Sunarsih, S., Hamdani, L., Rizal, A., & Yusfiarto, R. (2023) · Journal of Islamic accounting and business research · doi:10.1108/jiabr-12-2022-0333 · Cited by 24
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“Performance Expectancy (PE) Davis (1989) stated that usefulness has the same meaning with performance expectancy. Performance Expectancy or usefulness in this research is defines as individual beliefs that by using a certain technology, their performance can improve (Venkatesh, et.al, 2012). Mobile applications can pr…”
BackgroundResultInfluentialJalil, M. F., Marikan, D. A. B. A., Jais, M., Ayupp, K., & Shukri, M. H. M. (2025) · Business Strategy & Development · doi:10.1002/bsd2.70179 · Cited by 12
UTAUT Model of Mobile Application: Literature Review
Kamal, M., & Subriadi, A. P. (2021) · International Conference on Electrical and Information Technology (IEIT) · doi:10.1109/ieit53149.2021.9587377 · Cited by 9
The Effect of External Variables on Mobile Accounting App Adoption by Student Entrepreneurs
Kholid, M. N., & Asri, N. (2021) · Journal of Small Business Strategy · doi:10.53703/001c.29816 · Cited by 9
Çera, G., Khan, K. A., & Solenički, M. (2021) · Global Business Review · doi:10.1177/09721509211008686 · Cited by 10
“There is not much qualitative or quantitative research that analyse mobile banking acceptance from occupational perspectives such as full-time employees or full-time students (Bhatiasevi, 2016).”
Enhancing Sustainability of E-Learning with Adoption of M-Learning in Business Studies
Parusheva, S. S., Klančnik, I. Š., Bobek, S., & Zabukovšek, S. S. (2025) · Sustainability · doi:10.3390/su17083487 · Cited by 11
An Integrated DEMATEL-ANP Approach for Mobile Banking Adoptions in China Market
Zhu, X., Yan, R., & Xu, T. X. (2020) · Discrete Dynamics in Nature and Society · doi:10.1155/2020/1843697 · Cited by 8
“[3] √ [5] √ √ [5] √ √ √ √ [36] √ √ √ √ [38] √ √ √ √ [26] √ √ √ √ [2] √ √ √ [39] √ √ [2] √ √ [25] √ √ √ [21] √ √ √ [40] √ √ √ √ [41] √ √ √ √ [20] √ √ [15] √ √ √ √ √ √ [42] √ [36] √ √ 4 Discrete Dynamics in Nature and Society”
BackgroundThe Moderating Effect of Gender on Adopting Digital Government Innovations in EthiopiaPreprint
Senshaw, D., & Twinomurinzi, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.09960 · Cited by 8
“When users expect digital technology improves their job performance; they tend to accept the technology (Al Khasawneh, 2015; Bhatiasevi, 2016; Chiu, Bool, & Chiu, 2017).”
BackgroundExploring Mobile Terminal Continuance Usage from Customer Value Perspective
Li, A.-S., Yang, X.-D., & Guo, F. (2019) · Inf. · doi:10.3390/info10020070 · Cited by 3
“Some studies explored CU based on rational action theory, such as technology acceptance model (TAM) and its extension [36,37], other works considered habit as a key factor in investigating CU from the unconsciousness perspectives [36,38], and other CU research was conducted based on ECT [39,40].”
DIGITAL MORTGAGE BANKING ACCEPTABILITY IN PHILIPPINE UNIVERSAL BANKS: EVIDENCE FROM UTAUT MODEL
Morales, D. T., & Trinidad, F. L. (2019) · Journal of Information System and Technology Management · doi:10.35631/jistm.415001 · Cited by 7
“While the studies made by Tarhini et al. (2014), Raza et al. (2019), Sarfaraz (2107) and Bhatiasevi (2015) did not fully accept the UTAUT model due to one or two factors not significantly affecting behavioural intentions, two studies found the UTAUT model’s four (4) constructs to be significantly…”
BackgroundResultKonsument na rynku bankowości mobilnej w Polsce. Podobieństwa i różnice międzypokoleniowe
Kaczmarek, M. (2023) · doi:10.18559/978-83-8211-158-3 · Cited by 7
Hamakhan, Y. T. M. (2020) · Financial Internet Quarterly · doi:10.2478/fiqf-2020-0006 · Cited by 7
Examining the Contributing Factors for Cloud Computing Adoption in a Developing Country
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Majeed, A., & Rasheed, A. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/7268813 · Cited by 6
An extended UTAUT2 perspective - determinants of mobile banking use intention and use behavior
Kaplan, H. E., & Gürbüz, E. (2020) · Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi · doi:10.25287/ohuiibf.734288 · Cited by 6
Factors influencing mobile banking adoption in India: The role of government support as a mediator
Saxena, N., Gera, N., & Taneja, M. (2023) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/isd2.12287 · Cited by 12
“Furthermore, researchers discovered a negligible relationship between enabling conditions and BI (Farah et al., 2018), as well as between FCs and usage behavior (Bhatiasevi, 2016).”
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A Systematic Literature Review of Customer Satisfaction on Digital Banking
Mohanty, S., Singh, S., & Mohanty, J. (2023) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-6684-5853-2.ch003 · Cited by 6
The Influence of Public Service Experience on Adopting Digital Government Innovations in Ethiopia
Senshaw, D., & Twinomurinzi, H. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-64861-9_50 · Cited by 6
Intention to use m-banking application: an empirical study in Ho Chi Minh City
Le-Hoang, P. V. (2021) · Independent Journal of Management & Production · doi:10.14807/ijmp.v12i2.1256 · Cited by 5
Exploring the Determinants of Mobile Banking Adoption in the Context of Saudi Arabia
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Halvadia, N. B., Halvadia, S., & Purohit, R. (2022) · Research Square · doi:10.21203/rs.3.rs-1536236/v1 · Cited by 6
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Saibil, D. I., Sodik, F., & Mardiah, A. A. (2022) · NISBAH JURNAL PERBANKAN SYARIAH · doi:10.30997/jn.v8i2.6353 · Cited by 5
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Driving Factors of Mobile Payment Adoption: A Focus on Gen-Z Consumers
Navalgund, N. R., Hanji, S. V., Mahantshetti, S. S., Chickerur, S., & Sajjanar, R. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-1323-3_23 · Cited by 5
Ngan, L. T. T., Phu, N. T., Anh, N. H., Thu, N. N. A., Thuan, N. T. M., & Uyen, H. T. T. (2025) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2025.2477591 · Cited by 5
“Effort expectancy is considered to have a positive impact on consumers’ intention but the impact is rather weak in the research of Bhatiasevi (2016) and Jewer (2018).”
Mobile Applications for Personal Finance Management: Technology Acceptance Perspective
Mijić, M., & Ćebić, B. (2023) · Contributions to finance and accounting · doi:10.1007/978-3-031-23269-5_16 · Cited by 5
Chaputula, A. H. (2016) · ResearchSpace (University of KwaZulu-Natal) · Cited by 5
Mulyani, E. Y., Rakhmawati, T., Damayanti, S., Sumaedi, S., & Bakti, I. (2025) · Digital Health · doi:10.1177/20552076251392648 · Cited by 4
“22,24,25,29 The UTAUT is recognized as a comprehensive framework for understanding IT adoption, 31,32 highlighting four key determinants: performance expectancy, effort expectancy, SI, and FCs. 34,47 Additionally, UTAUT includes various control variables, such as gender, age, experience, and…”
From Friends to Feedback: Effect of Social Influence on Mobile Shopping in the Post-COVID Era
Tang, X., Hanif, M. S., Haider, S. N., Rizwan, A., & Khurshid, A. (2024) · Sustainability · doi:10.3390/su16125134 · Cited by 8
Homaid, A. A. (2021) · Information Development · doi:10.1177/02666669211009932 · Cited by 4
“Ghani, 2018; Tarhini et al., 2016) and mobile banking (Bhatiasevi, 2016; Oliveira et al., 2014, 2016; Raza et al., 2019; Tan and Leby Lau, 2016).”
BackgroundResultInfluentialDeterminants of Mobile Game Service Adoption in Generation Z and Millennials in Indonesia
Sudirman, A., Lie, D., Nainggolan, N. T., Sherly, S., & Sianipar, M. Y. (2022) · International Journal of Entrepreneurship and Sustainability Studies · doi:10.31098/ijeass.v2i2.715 · Cited by 4
“If users feel great benefits from using a technology service, then in the future these users will form more assertive usage behaviors and continue to use them repeatedly (Bhatiasevi, 2015).”
BackgroundInfluentialTechnology Acceptance in Public Sector Universities: A Case Study of University of the Punjab
Subhani, W., Rehman, M., & Baig, W. (2023) · journal of social sciences review · doi:10.54183/jssr.v3i2.76 · Cited by 4
Sodik, F., & Riza, A. F. (2023) · Jurnal Ekonomi Indonesia · doi:10.52813/jei.v12i2.315 · Cited by 4
“Unified Theory of Acceptance and Use of Technology (UTAUT) adalah sebuah teori komprehensif yang mengintegrasikan berbagai teori dan studi mengenai adop-si teknologi ke dalam kerangka yang terpadu (Bhatiasevi, 2016; Khan, 2022; Nguyen et al ., 2020; Kwateng et al ., 2019).”
BackgroundIrfan, M. (2019) · doi:10.7176/isde/10-2-03 · Cited by 4
“Concerning M-Banking, consumer deem that service spirit in varying the scenery of banking, routing mold, number of situate stopover, and the connections have executed (Dwivedi, Rana, Jeyaraj, Clement, & Williams, 2017; Bhatiasevi, 2016; Martins, Oliveira, & Popovic, 2014).”
BackgroundExploring the technology acceptance of digital banking services in Malaysia with UTAUT model
Koh, C. M., Pin, C. T., Hasan, N. B. A., Foo, C.-C., Ng, C.-P., & Tan, T.-H. (2024) · Journal of Banking and Financial Technology · doi:10.1007/s42786-024-00048-9 · Cited by 3
“On the other hand, Bhatiasevi [10] found that the facilitating conditions sim‑ plifying mobile banking usage, do not significantly impact a person's willingness to use mobile banking in Thailand.”
InfluentialEffect of Use of Mobile Banking on the Student’s Satisfaction and Loyalty
Trisnawati, J. D. (2020) · International Symposium on Management (INSYMA) · doi:10.2991/aebmr.k.200127.021 · Cited by 3
“Brown et al. (2003) stated that the relative benefits received positively affect the level of MBanking usage, while Bhatiasevi (2016) and Zhou et al. (2010) found that PE influenced the use of MBanking.”
BackgroundMobile Payment Products in Indonesia: Is it a Lifestyle or a Need?
Setiobudi, A., Sudyasjayanti, C., Singgih, K. J., & Gadi, A. F. (2021) · Jurnal Manajemen Bisnis · doi:10.18196/mb.v12i1.9440 · Cited by 3
“Based on the description of consumer preferences for a product, then the perception of the use of mobile payment in Indonesia is determined from the variables contained in the UTAUT model (Bhatiasevi, 2016; Singh et al., 2017).”
BackgroundMethodAn Enhanced Model For E-Service Quality of Mobile Banking
Owuamanam, J. N. (2021) · Türk bilgisayar ve matematik eğitimi dergisi · doi:10.17762/turcomat.v12i3.1150 · Cited by 3
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Saha, P., & Kiran, K. B. (2022) · International Journal of Electronic Government Research · doi:10.4018/ijegr.298627 · Cited by 3
The role of generational cohorts in mobile banking adoption: evidence from South-Eastern Europe
Çera, G., Khan, K. A., Lashi, F., & Maloku, S. (2022) · International Journal of Services Technology and Management · doi:10.1504/ijstm.2022.123503 · Cited by 3
SOSSOU, M. L. A., & Gaye, A. (2022) · Revue internationale des sciences de l organisation · doi:10.3917/riso.013.0111 · Cited by 3
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Sembiring, S. M. R., Kesuma, S. A., Risanty, & Sembiring, M. S. (2023) · Jurnal Ekonomi dan Bisnis Digital · doi:10.55927/ministal.v2i2.2987 · Cited by 3
Technology Acceptance Analysis Using UTAUT: A Study of QRIS Acceptance during the Pandemic
Prasetya, D., Rahardjo, A. R. G., Aritonang, E. R. U., Manggalaningwang, J., Maharani, N. A., Ivander, Y., & Mukhamadiyev, A. (2024) · INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi · doi:10.29407/intensif.v8i2.21982 · Cited by 3
Online Gamified Learning Platforms (OGLPs) for Participatory Learning
Ng, K. S.-P., Lai, I. K. W., & Ng, K. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-51968-1_5 · Cited by 3
EVALUASI TINGKAT PENERIMAAN E-MONEY DI KALANGAN MAHASISWA YOGYAKARTA MENGGUNAKAN MODIFIKASI UTAUT2
Evan, I., Winarno, W. W., & Putro, H. P. (2021) · E-Jurnal Ekonomi dan Bisnis Universitas Udayana · doi:10.24843/eeb.2021.v10.i01.p02 · Cited by 3
FATORES DETERMINANTES DA ACEITAÇÃO DE MERCADO DA TECNOLOGIA DO BANCO DIGITAL NO CONTEXTO BRASILEIRO
Borges, L., Figueiredo, P. S., Passos, F. U., & dos Santos, E. M. (2021) · Marketing & Tourism Review · doi:10.29149/mtr.v6i2.6695 · Cited by 3
Acceptance of the Bank of Uganda Internet Banking System Framework
Baganzi, R., Makanga, B., & Kiconco, R. (2021) · Open Journal of Business and Management · doi:10.4236/ojbm.2021.96162 · Cited by 3
“A couple of studies have used the UTAUT model to examine technology adoption intention in different parts of the world (Zhou et al., 2010; Oliveira et al., 2014; Yuen et al., 2010; Yuen & Yeow, 2009; Luo et al., 2010; Bhatiasevi, 2016).”
BackgroundResultPemanfaatan Teknologi Digital Pada Koperasi di Provinsi Bali Di Masa Pandemi Covid-19
Rustariyuni, S. D. (2021) · JMD Jurnal Riset Manajemen & Bisnis Dewantara · doi:10.26533/jmd.v4i2.922 · Cited by 3
Ali, A., Qaiser, R., & Baig, W. (2022) · journal of social sciences review · doi:10.54183/jssr.v2i4.50 · Cited by 3
A mobile bank application loyalty model: The young bank customer perspective
Nourallah, M. (2020) · doi:10.13140/rg.2.2.35638.86089 · Cited by 3
Factors Influencing Intention to Donate through Donation Crowd-Funding: Evidence from IndonesiaPreprint
Wisesa, A. D., Kholid, M. N., & Hamdani, R. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3784229 · Cited by 3
User Engagement in Mobile Banking Apps: A Literature Review of Drivers and Consequences
Giebe, C., Wohllebe, A., & Guhl, M. (2025) · International Journal of Mobile Applications and Technologies · doi:10.51137/wrp.ijmat.2025.cgut.45846 · Cited by 2
Neira, C. V., & Hilal, A. (2026) · Journal of Financial Services Marketing · doi:10.1057/s41264-026-00350-1 · Cited by 2
“For instance, Bhatiasevi (2016, p. 805) stated: “The questionnaire had two sections.”
Identifying Influences to Information Security Framework Adoption: Applying a Modified UTAUT
Lidster, W. W., & Rahman, S. S. M. (2020) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata50022.2020.9378283 · Cited by 2
“Some studies have added constructs to the model to address their research questions [20].”
BackgroundSOSSOU, M. L. A., Abdoulaye, G. A. Y. E., & Wade, M. E. B. (2021) · International Journal of Financial Accountability Economics Management and Auditing (IJFAEMA) · doi:10.52502/ijfaema.v3i4.106 · Cited by 2
“Également nous avons constaté que l’intention d’utilisation et la commodité ont un effet direct et significatif sur l’adoption de l’innovation de service (Sripalawat et al., 2011 ; Yu, 2012 ; Bhatiasevi, 2016).”
BackgroundAnalysis of the SME-Bank Relationship in the Context of Digital Financial Services in Bukavu
Mulungula, A. M., Nimubona, F., Ngezirabona, S. V., & Bienvenu, L. (2023) · Journal of Financial Risk Management · doi:10.4236/jfrm.2023.121007 · Cited by 2
Karunarathna, C., Jayasinghe, S., & Wijayanayake, J. I. (2023) · International Research Conference on Smart Computing and Systems Engineering (SCSE) · doi:10.1109/scse59836.2023.10215049 · Cited by 2
“This finding is consistent with previous studies such as [26],[29],[30].”
BackgroundResultDeterminants Affecting Intention to Use E-Wallets in Vietnam: An Empirical Case of Momo
Huy, D. G., & Huynh, A.-V. (2023) · KnE Social Sciences · doi:10.18502/kss.v8i20.14598 · Cited by 2
“The UTAUT and its variants have been used to explain why diverse data technologies are being utilized, such as mobile banking (Bhatiasevi, 2016), mobile payment (Escobar-Rodrguez Davis (1985) claims Intention to Use refers to how strongly a person feels they will perform a particular activity.”
MethodDeterminants of Digital Currency Usage in Nigeria
Fepetu, O., & Adewumi, P. A. (2023) · Advances in finance, accounting, and economics book series · doi:10.4018/979-8-3693-0770-0.ch006 · Cited by 2
Soliman, D. S. A., Shalaby, R. A. E. A. Y., Khourshed, N. F., & Amara, D. (2024) · المجلة العربیة للإدارة · doi:10.21608/aja.2024.270485.1587 · Cited by 2
Joo, K., Kim, H. M., & Hwang, J. (2024) · Applied Sciences · doi:10.3390/app14219915 · Cited by 2
Investigating banks’ social media content and consumer reactions with machine learning
Gombos, N. J., Vlaszov, A., Bíró-Szigeti, S., & Molontay, R. (2025) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2025.100512 · Cited by 2
What Makes People Use Social Robots? Integrating Trustworthiness Into the UTAUT Model
Fischer, K., Kim, D.-G., & Hong, J.-W. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93412-4_4 · Cited by 3
Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 model
Shayganmehr, ع., Malekzadeh, G., & Trojanowski, M. (2021) · Health Monitor Journal of the Iranian Institute for Health Sciences Research · doi:10.29252/payesh.20.1.31 · Cited by 2
Namoco, S. O. (2022) · Asia Pacific Journal of Educators and Education · doi:10.21315/apjee2021.36.2.5 · Cited by 3
The Intention to Use Telemedicine by Surgical Patients in Response to COVID-19
Siriussawakul, A., & Phongsatha, T. (2022) · Siriraj Medical Journal/San Sirirat · doi:10.33192/smj.2022.95 · Cited by 2
Ali, N. S. M., Fauzi, M. A., Saidin, N., Nor, N. Q. Z. M., Ismail, N. F. S., & Aling, N. A. (2024) · International Review of Education · doi:10.1007/s11159-023-10046-6 · Cited by 2
“…is a main factor influencing the intention to adopt social media, e-learning (Salloum and Shaalan 2018; Sharma et al. 2016), mobile learning (Sidik and Syafar 2020), and other uses of technology such as online banking (Bhatiasevi 2016; Alalwan et al. 2016) and e-government services (Sharma 2015).”
Determinants of Student Information Technology Adoption
VanDerSchaaf, H. (2000) · doi:10.15760/etd.7377 · Cited by 2
An Extended UTAUT Model to Explore the Influential Factors towards M-Banking Apps’ Use
Konteos, G., Saprikis, V., Avlogiaris, G., & Papathomas, A. (2022) · International Journal of Business and Management · doi:10.5539/ijbm.v17n7p29 · Cited by 2
“…there is a numerous number of empirical studies that focuses on m-banking services in general (e.g., Alalwan et al., 2016; Baabdullah et al., 2018; Bhatiasevi, 2016; Farah et al., 2018; Farzin et al., 2021; Geebren et al., 2021; Ha et al., 2012; Ho et al., 2020), the research that focuses…”
BackgroundTesting a Unified Model for Understanding Adoption of Technology in Classroom by Academicians
Gautam, V. (2023) · Asia Pacific Journal of Information Systems · doi:10.14329/apjis.2023.33.1.123 · Cited by 1
Senshaw, D., & Twinomurinzi, H. (2024) · Information Polity · doi:10.3233/ip-220076 · Cited by 1
Senshaw, D., & Twinomurinzi, H. (2024) · Information Polity · doi:10.1177/15701255241304596 · Cited by 1
“When users expect that digital technology improves their job performance, they tend to accept it (Khasawneh, 2015; Bhatiasevi, 2016; Chiu et al., 2017).”
Information Technology/Information Systems Adoption in Developing and Transitioning Economies
Etim, E. (2020) · Advances in IT standards and standardization research (AISSR) book series/Advances in IT standards and standardization research series · doi:10.4018/978-1-7998-3468-7.ch003 · Cited by 1
The Application of UTAUT Theory to Determine Factors Influencing Malaysian Adoption Mobile Banking
Tan, M. C., Zariyawati, M. A., & Hirnissa, M. T. (2021) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v11-i1/8448 · Cited by 1
Rustariyuni, S. D. (2022) · International Journal of Applied Business and International Management · doi:10.32535/ijabim.v7i3.1789 · Cited by 1
-, R. J. A. D., Rosales, V. S., Silor, A. C., Requino, R. B., & Merca, A. M. (2024) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2024.v06i03.21390 · Cited by 1
COVID-19: Its Impact on Recruitment Selection and Organizational Performance.
Saini, H. (2024) · doi:10.48047/afjbs.6.5.2024.9282-9299 · Cited by 1
Digital Zakat, Infaq, and Sadaqah (ZIS) Acceptance: Empirical Evidence from Indonesia
Agustrisna, J., Fadilah, S., Kesuma, S. A., Astuti, W., & Adhitya, T. R. (2024) · Studies in systems, decision and control · doi:10.1007/978-3-031-71649-2_80 · Cited by 1
Metadata
- Authors
- Bhatiasevi, V.
- Affiliations
- Mahidol University (TH)
- Corresponding author
- Bhatiasevi, Veera
- ORCID
- Bhatiasevi, Veera
- Venue
- Information Development
- Publisher
- SAGE Publications
- Published
- 2016-07-09
- Volume
- 32
- Issue
- 4
- Pages
- 799-814
- ISSN
- 0266-6669 (ISSN-L)
- 1741-6469
- OpenAlex
- W2159369755
- Cited by
- 237
- References
- 58
- Citations by year
- 2026: 5 · 2025: 22 · 2024: 26 · 2023: 36 · 2022: 37 · 2021: 43 · 2020: 23 · 2019: 26 · 2018: 9 · 2017: 6 · 2016: 2
- FWCI
- 11.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Development (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- mobile banking, technology adoption, UTAUT model, perceived credibility, perceived convenience, perceived cost, performance expectancy, effort expectancy, social influence, behavioral intention
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