Determinants of Consumer’s Intention to Use Mobile Banking Services in Bangladesh

Determinants of Consumer’s Intention to Use Mobile Banking Services in Bangladesh

Israt Jahan

Contact

Tapas Bala

Contact

Kamrul Hasan Bhuiyan

Contact

Gopalganj Science and Technology University

Determinants of Consumer’s Intention to Use Mobile Banking Services in Bangladesh

Article Fingerprint

ReserarchID

2Q4HD

Determinants of Consumer’s Intention to Use Mobile Banking Services in Bangladesh Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Mobile banking is known as one of the latest as well as promising application of mobile commerce with great mobility and flexibility for the completion of financial transactions with the help of mobile communication devices. In today’s perspective, electronic banking, internet banking and mobile banking are considered as the buzzword as 4.5 billion mobile cellular subscriptions worldwide is estimated and mobile network has the capability to instantaneously offer mobile banking to 61% of total population. For both developed and developing countries the increase of adoption rate in Mobile banking shows the strong potential rate of growth. In today’s perspective adoption decision of consumers may be influenced by several factors. A quantitative approach has been taken to measure the determinants and anticipate their correlation through convenient sampling by the statistical analysis of ANOVA and Regression Analysis. The authors have also gone through seven hypothesis test. For this paper six major determinates have been explored in order to understand the consumer’s adoption process.

References

52 Cites in Article

Reference Format

Ali Alalwan,Yogesh Dwivedi,Nripendra Rana (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust.
I Al-Jabri,M Sohali (2012). Analysis of M-Tax Mobile Application Adoption on Tax Compliance in Indonesia Using Diffusion of Innovation Theory (DIT).
S Ahmed,S Rayhan,M Islam,S Mahjabin (2011). Problems and prospects of mobile banking in Bangladesh.
U Akturan,N Tezcan (2012). Mobile banking adoption of the youth market Perceptions and intentions.
A Alalwan,Y Dwivedi,N Rana,M Williams (2016). Consumer adoption of mobile banking in Jordan; Examining the role of usefulness, ease of use, perceived risk and self-efficacy.
M Alam (2014). Factors Affecting Consumers' Adoption of Mobile Banking in Bangladesh: An Empirical Study.
J Alo (2019). Mobile banking clients cross 3.5cr mark.
(2016). Figure 8.5. Many small firms in poor countries do not have bank accounts.
(2019). ADB Annual Report 2018.
(2020). bKash in Bangladesh: 24 million customers using mobile money | Asia Global Payment Summit.
(2019). Mobile Financial Services.
(2019). Mobile phone data and disaster response - Bangladesh.
Bdnews (2016). Bangladesh's literacy rate rises to 70 percent, education minister says.
Anol Bhattacherjee (2006). Individual Trust in Online Firms.
Sumedha Chauhan (2015). Acceptance of mobile money by poor citizens of India: integrating trust into the technology acceptance model.
C Chen (2013). Perceived risk, usage frequency of mobile banking services.
Alina Chircu,Robert Kauffman (2000). Limits to Value in Electronic Commerce-Related IT Investments.
Chaushen Chen (2013). Perceived risk, usage frequency of mobile banking services.
P Cruz,T (2010). Mobile Banking rollout in emerging markets: evidence from Brazil.
Fred Davis,R Bagozzi,P Warsaw (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.
Madhurima Deb,Ewuuk Lomo-David (2014). An empirical examination of customers’ adoption of m-banking in India.
M Fishbein,I Ajzen (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research.
David Gefen,Elena Karahanna,Detmar Straub (2003). Trust and TAM in Online Shopping: An Integrated Model1.
Preben Godoe,Trond Johansen (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept.
Ja-Chul Gu,Sang-Chul Lee,Yung-Ho Suh (2009). Determinants of behavioral intention to mobile banking.
D Khraim,D Shoubaki,D Khraim (2011). Factors affecting joardaian Consumers Adoption of mobile banking servics.
Jin Kim (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM.
S Laforet,X Li (2005). Consumers' attitudes towards online and mobile banking in China.
Kun Lee,Namho Chung (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean’s model perspective.
Paul Legris,John Ingham,Pierre Collerette (2003). Why do people use information technology? A critical review of the technology acceptance model.
N Lewis,A Palmer,A Moll (2010). Predicting young consumers' take up of mobile banking services.
Weng Lim,Ding Ting (2012). E-shopping: an Analysis of the Technology Acceptance Model.
C Lu,S Huang,P Lo (2016). An empirical study of on-line tax filing acceptance model: Integrating TAM and TPB.
I Mahbub (2016). Mobile Banking, bKash, and Future Of Mobile Financial Services -Future Startup.
Kieran Mathieson (1991). Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior.
Gary Mortimer,Larry Neale,Syed Hasan,Benjamin Dunphy (2015). Investigating the factors influencing the adoption of m-banking: a cross cultural study.
S Musa,M (2014). Customers' Adoption of Electronic Banking: an Investigation on The Commercial Banking Industry in Zimbabwe.
Sung Park,Min‐woo Nam,Seung‐bong Cha (2009). University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model.
J Pu ¨schel,J Mazzon,J Mauro,C Hernandez (2010). Mobile banking: proposition of an integrated adoption intention framework.
Hernan Riquelme,Rosa Rios (2010). The moderating effect of gender in the adoption of mobile banking.
M Rokibul (2013). Factors Influencing the Usage of Mobile Banking: Incident from a Developing Country.
Nadire Cavus,Dambudzo Christina (2016). Information technology in the banking sector: Review of mobile banking.
G Sagib,B Zapan (2014). Bangladeshi mobile banking service quality and customer satisfaction and loyalty.
K Siau,Z Shen (2003). Building customer trust in mobile commerce.
R Siddiquie (2014). Scopes and threats of Mobile Financial services in Bangladesh.
Peter Tobbin (2012). Towards a model of adoption in mobile banking by the unbanked: a qualitative study.
Huong Tran,James Corner (2016). The impact of communication channels on mobile banking adoption.
V Venkatesh,H Bala (2008). Technology acceptance model 3 and a research agenda on interventions.
V Venkatesh,F Davis (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies.
Viswanath Venkatesh,Michael Morris,Gordon Davis,Fred Davis (2003). User Acceptance of Information Technology: Toward A Unified View1.
Ing-Long Wu,Jian-Liang Chen (2005). An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study.
(2016). Bangladesh.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Israt Jahan. 2020. \u201cDeterminants of Consumer’s Intention to Use Mobile Banking Services in Bangladesh\u201d. Global Journal of Management and Business Research - A: Administration & Management GJMBR-A Volume 20 (GJMBR Volume 20 Issue A4).

More Citation Formats

Select Citation Style:

Download Citation

GJMBR Volume 20 Issue A4

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords

Not Found

Classification

GJMBR-A Classification JEL Code: G24

Submission ReceivedDecember 11, 2019
Peer Review Double Blind
Handling Editor
Accepted December 31, 2019
Published January 15, 2020

Version of record

v1.2

Issue date

February 29, 2020

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Views: 2652

Total Downloads: 1273

2026 Trends

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]