Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation

Sharma, Sujeet Kumar; Sharma, Manisha

doi:10.1016/j.ijinfomgt.2018.09.013

Cited by 476 publications

(425 citation statements)

References 78 publications

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“…Moreover, the issue of perceived security as a key factor in influencing continued intention to use m-banking has been thoughtfully examined in the literature (i.e. Haider et al, 2018;Jahangir and Begum, 2008;Kim et al, 2009;Linck et al, 2006;Nie and Hu, 2008;Sharma and Sharma, 2019). Also, perceived privacy was indicated as an efficient predictive factor over continued intention to use m-banking (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In their longitudinal study to test the adoption of m-banking in Brazil, Malaquias et al (2018) empirically noticed that with the passage of time on the use of mbanking, there is an improvement in the level of consumer perception toward aspects pertaining to task characteristics, trust, ease of use, and social influence. More recently, three factors from the IS success model (information quality, system quality, and service quality) along with trust were proposed by Sharma and Sharma (2019) to predict the customer's intention to use m-banking. Sharma and Sharma (2019) found out that both customers' intention and satisfaction were largely predicted by the role of service quality, information quality, and trust.…”

Section: Literature Reviewmentioning

confidence: 99%

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An integrated model for m-banking adoption in Saudi Arabia

Baabdullah

Alalwan

Rana

et al. 2019

IJBM

100

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Purpose-This study aims to identify and examine the most important factors that could predict the Saudi customer's continued intention towards adoption of mobile banking. Design/methodology/approach-The proposed conceptual model was based on the Technology Acceptance Model (TAM) and Task-Technology Fit (TTF) model. This is also expanded by considering two additional factors: perceived privacy and perceived security. By using a self-administered questionnaire, the data was collected from a convenience sample of Saudi banking customers from different parts of Saudi Arabia. Findings-The main results based on structural equation modelling analyses supported the impact of perceived privacy, perceived security, perceived usefulness, and task-technology fit on the customers' continued intention to use mobile banking. Research limitations/implications-The moderation influence of the demographic factors (i.e. age, gender, income level, educational level) was not tested. The data was also collected using a self-report questionnaire; however, it would be more accurate to utilise more statistics from the bank database about the users of m-banking. Originality/value-This study represents a worthy attempt to test such novel technology (mbanking) in the KSA where there is a scarcity of literature. A considerable theoretical contribution was also made by integrating the TTF model with the TAM in addition to consider privacy and security in one single model. Moreover, considering both perceived privacy and security in the current model creates an accurate picture about the adoption of mbanking especially as there are a limited number of m-banking studies that have considered privacy and security alongside the TTF model and TAM in the same model.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

An integrated model for m-banking adoption in Saudi Arabia

Baabdullah

Alalwan

Rana

et al. 2019

IJBM

100

View full text Add to dashboard Cite

show abstract

“…Emerging Markets Journal | P a g e 55 Trust can be developed between exchange partners with three integral parts namely successful accomplishment and provision of service, ethically delivering service with full integrity with no deceiving, and caring the needs of customers by due benevolence (Farah, Hasni, and Abbas, 2019). Despite its developmental stages, some studies indicate that initial trust is the most important (Gao and Waechter, 2015) and it can build at the early stages of exchange relations with the exchange partners (Sharma and Sharma, 2019). In an empirical study, Farah et al (2018) found that trust predicts mobile banking adoption intention.…”

Section: Cherinet Boke Chakisomentioning

confidence: 99%

“…This design suited to employ a cross-sectional self-administered survey was employed which is one of the cheapest and popular methods of data collection in quantitative designs in social science (Neuman, 2014). A number of studies have recommended survey in previous related studies (Sharma and Sharma, 2019;Saunders, Lewis and Thornhill, 2007).…”

Section: Cherinet Boke Chakisomentioning

confidence: 99%

Factors affecting Attitudes towards Adoption of Mobile Banking: Users and Non-Users Perspectives

Chakiso

2019

emaj

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The advent and dispersal of technology is an interesting area of study since its success is dependent on the attitude for the adoption of it by customers. Extant literature indicates that mobile banking is the least adopted type of electronic banking when compared to other types of banking like Automated Teller Machine (ATM), despite its being the cheapest and quickest mode of communication. This study empirically examines and tests factors affecting users and non-users' attitude towards the adoption of mobile banking. Data were collected from 256 participants both from users and non-users of mobile banking. Collected data were analyzed using chi-square, ANOVA, and correlation analysis. Findings indicate that trust, perceived ease of use, relative advantage, and compatibility have strong correlations with both users and non-users' adoption towards mobile banking. However, perceived risk is found to have no significant relationship with users and nonusers' attitude towards the adoption of mobile banking. Moreover, it is found that there is a difference between users and non-users' attitude towards the adoption of mobile banking. Furthermore, managerial implications, limitations of the study and future research directions were discussed.

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“…Selanjutnya terdapat hasil penelitian faktor risk yang berpengaruh positif terhadap penerimaan dan penggunaan sebuah teknologi (Ayo, Mbarika, & Oni, 2015;Belkhamza & Wafa, 2009;Juniwati, 2014;Liao, Lin, & Liu, 2010;Lin et al, 2014). Selain itu, faktor kepercayaan (trust) juga berpengaruh terhadap penerimaan teknologi (Chao, 2019;Jubran, Djamhuri, & Baridwan, 2016;Paqih, 2011;Sharma & Sharma, 2019 (Syahrum & Salim, 2012). Dimaksudkan dengan penelitian ekspalanori bahwa peneliti menguji, menemukan dan menjelaskan hubungan causal lebih dari dua variabel dengan melalui pengujian hipotesis penelitian.…”

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Technological Acceptance Model (TAM) Terhadap Adopsi Aplikasi Trading Cryptocurrency Studi Kasus: Indodax Trading Platform

Ramadhan

Septiarani

Dias

et al. 2019

IJCIT

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Aplikasi trading cryptocurrency merupakan sebuah aplikasi yang relatif baru yang ditandai dengan munculnya banyak cryptocurrency seperti Bitcoin, Ethereum dan lain sebagainya. Oleh sebab itu, analisis penerimaan teknologi pada aplikasi tersebut sangat penting untuk dikaji lebih dalam. Penelitian ini bertujuan untuk menganalisis dan mengukur penerimaan aplikasi trading cryptocurrency yaitu Indodax Trading Platform dengan menggunakan Technology Acceptance Model (TAM) yang diintegrasikan dengan faktor resiko dan kepercayaan. Penelitian ini merupakan penelitian kuantitatif asosiatif dengan menggunakan kuesioner untuk mendapatkan data primer. Sampel yang digunakan pada penelitian ini sebesar 134 dengan menggunakan teknil analisis Semi Equation Model – Partial Least Square (SEM-PLS). Hasil dari penelitian ini yaitu adanya pengaruh dari perceived usefulness dan trust terhadap penggunaan aplikasi trading cryptocurrency. Sedangkan resiko dan perceived ease of use tidak berpengaruh terhadap penggunaan aplikasi trading cryptocurrency.

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Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation

Cited by 476 publications

References 78 publications

An integrated model for m-banking adoption in Saudi Arabia

An integrated model for m-banking adoption in Saudi Arabia

Factors affecting Attitudes towards Adoption of Mobile Banking: Users and Non-Users Perspectives

Technological Acceptance Model (TAM) Terhadap Adopsi Aplikasi Trading Cryptocurrency Studi Kasus: Indodax Trading Platform

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