Using the UTAUT2 Model to Determine Factors Affecting Adoption of Mobile Banking Services: A Qualitative Approach

Gharaibeh, Malik Khlaif; Arshad, Muhammad; Gharaibeh, Natheer K.

doi:10.3991/ijim.v12i4.8525

Cited by 65 publications

(55 citation statements)

References 14 publications

(18 reference statements)

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“…The unified theory of acceptance and use of technology (UTAUT) model was an attempt to unify and strengthen theories about technology acceptance (Ajzen & Fishbein, 1988; Davis et al, 1989; Rogers, 2003; Venkatesh & Davis, 2000). The model has been applied and tested with a diverse range of technologies, including online shopping (An, Han, & Tong, 2016), mobile banking services (Gharaibeh, Arshad, & Gharaibeh, 2018), mapping apps (Gupta & Dogra, 2017), NFC mobile payments in hotels (Morosan & DeFranco, 2016), social recommender systems (Oechslein, Fleischmann, & Hess, 2014), desktop‐based computer software (Sharma & Kumar, 2012) and health and fitness apps (Yuan, Ma, Kanthawala, & Peng, 2015). Venkatesh, Morris, Davis, and Davis (2003) incorporated three additional constructs, namely hedonic motivation (HM), PV and habit, extending UTAUT into UTAUT2, also known as the extended unified theory of acceptance and use of technology.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

Acceptance of open source geospatial software: Assessing QGIS in South Africa with the UTAUT2 model

Henrico

Coetzee

Cooper

et al. 2020

Transactions in GIS

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Geospatial information and technologies are widely used in South Africa, initially mostly with proprietary software but today, mature, open source alternatives such as QGIS are available. We wanted to find out if and why South African users accepted QGIS, globally the most widely used free and open source GIS. We adapted the extended unified theory of acceptance and use of technology model to test several hypotheses regarding the acceptance and use of QGIS in South Africa. 205 registered members of the Geo‐Information Society of South Africa completed a structured questionnaire. Results show that habit has the most significant influence on behavioural intention to use QGIS, followed by facilitating conditions, price value and social influence. Performance expectancy, effort expectancy, hedonic motivation and access to source code played no significant role. The findings show that adoption of QGIS in South Africa is not primarily influenced by benefits attributed to open source software, such as cost benefits, customizability, improved reliability, quality and security. The results are useful for developers of any GIS product and for choosing a GIS product for an organization, because they provide insight into the behavioural intentions of users.

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Section: Research Model and Hypothesesmentioning

confidence: 99%

Acceptance of open source geospatial software: Assessing QGIS in South Africa with the UTAUT2 model

Henrico

Coetzee

Cooper

et al. 2020

Transactions in GIS

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“…We sought to address this gap by reviewing the existing literature on barriers and facilitators to the use of e-health by older adults, with a view to informing the development and implementation of a targeted e-health intervention for older adults. The results of this review are discussed with reference to the key constructs of the Unified Theory of Acceptance and Use of Technology2 [27].…”

Section: Introductionmentioning

confidence: 99%

Barriers and facilitators to the use of e-health by older adults: a scoping review

et al. 2021

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Background Limited attention has been paid to how and why older adults choose to engage with technology-facilitated health care (e-health), and the factors that impact on this. This scoping review sought to address this gap. Methods Databases were searched for papers reporting on the use of e-health services by older adults, defined as being aged 60 years or older, with specific reference to barriers and facilitators to e-health use. Result 14 papers were included and synthesised into five thematic categories and related subthemes. Results are discussed with reference to the Unified Theory of Acceptance and Use of Technology2. The most prevalent barriers to e-health engagement were a lack of self-efficacy, knowledge, support, functionality, and information provision about the benefits of e-health for older adults. Key facilitators were active engagement of the target end users in the design and delivery of e-health programs, support for overcoming concerns privacy and enhancing self-efficacy in the use of technology, and integration of e-health programs across health services to accommodate the multi-morbidity with which older adults typically present. Conclusion E-health offers a potential solution to overcome the barriers faced by older adults to access timely, effective, and acceptable health care for physical and mental health. However, unless the barriers and facilitators identified in this review are addressed, this potential will not be realised.

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“…22,23 Numerous empirical studies have been conducted in different domains to explore the confusion on the sustainable adoption of technologies. 10,[25][26][27][28][29][30][31] Technology acceptance model (TAM) is one of the popular and commonly used model to study the social mechanisms of technology adoption, which has been modified from time to time. 25,32 Much smaller researches have been conducted to assess whether TAM elements can be applied to eHealth technology adoption and user acceptance.…”

Section: Introductionmentioning

confidence: 99%

<p>The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings</p>

Kalayou¹,

Endehabtu²,

Tilahun³

2020

JMDH

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Background: The implementation of eHealth systems with a trial-and-error approach is very expensive and unsuccessful. So, this study aims to examine the constructs and relationships of the modified technology acceptance model (TAM) to determine whether it can be applied to assess health professional's behavioral intention to adopt eHealth systems in resource-limited settings or not. Methods: The institutional-based cross-sectional study design was conducted among a total of 384 healthcare professionals in referral hospitals of Amhara regional state, Ethiopia. Selfadministered questionnaire was used to collect the data, and the data were entered using Epiinfo version 7 and the descriptive data were analyzed using SPSS version 25. Structural equation modeling, using AMOS 22, was also applied to describe and validate the degree of relationships between variables. Results: The findings of the structural equation modeling (SEM) indicate that perceived usefulness has a significant influence on attitude (β =0.298, P<0.01) and intention to use eHealth (β =0.387, P<0.01). Perceived ease of use has significant influence on perceived usefulness (β=0.385, P<0.05) and attitude (β=0.347, P<0.05) and intention to use eHealth (β=0.339, P<0.01). Technical infrastructure has significant influence on attitude (β =0.412, P<0.01) and intention to use eHealth (β =0.355, P<0.01). The staffs IT experience has a significant influence on perceived usefulness (β =0.595, P<0.01) and attitude (β =0.267, P<0.05), but the effect of IT experience on the intention to use eHealth was not significant. Among all the constructs, healthcare professionals attitude towards eHealth showed the strongest effect on the intention to use eHealth systems (β = 0.52, P<0.01). Conclusion: Overall, this model describes 56.2% of the variance in behavioral intention to use eHealth systems. Therefore, the implementers should give priority in enhancing the organizations technical infrastructure, staff's IT skill, and their attitude towards eHealth by giving continuous support.

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Using the UTAUT2 Model to Determine Factors Affecting Adoption of Mobile Banking Services: A Qualitative Approach

Cited by 65 publications

References 14 publications

Acceptance of open source geospatial software: Assessing QGIS in South Africa with the UTAUT2 model

Acceptance of open source geospatial software: Assessing QGIS in South Africa with the UTAUT2 model

Barriers and facilitators to the use of e-health by older adults: a scoping review

<p>The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings</p>

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