Factors Affecting Technology Adoption in The Mobile Banking Sector in Kenya

Authors

  • Isabella Kiranga Panyapiwat Institute of Management
  • Veerisa Chotiyaputta Panyapiwat Institute of Management, Nonthaburi

Keywords:

UTAUT Model, Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Culture, Mobile Banking Services, Kenya

Abstract

Banking has grown to be a technology-savvy industry with the development of mobile technologies. With this development, the number of smartphone users globally is steadily increasing and the number is estimated to grow to over 3 billion by 2022. Many people have gradually adopted mobile technology, and smartphones are the most common category of mobile devices in both emerging economies and developed countries. The objective of the present study is to examine the effects of UTAUT model factors in predicting the intention of bank customers to adopt mobile banking services in Kenya. The study adopted a mixed-method approach which involved both quantitative and qualitative research designs. The sample of the study consisted of 240 respondents dawn from three leading commercial banks in Kenya. The questionnaire method was used to collect data which was analyzed using Partial Least Squares-Structural Equation Modeling analysis techniques. The findings of the study indicated that Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Culture had a significant and positive effect on the adoption of mobile banking services. The study contributed to examining the adoption intention behavior of mobile banking apps among bank customers in Kenya since the context of mobile apps is relatively new to these customers. The main theoretical implication of the study was the application of the UTAUT in explaining the adoption of digital mobile banking services and applications in the banking sector in a developing country like Kenya.

References

Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile Banking Adoption: Application of Diffusion of Innovation Theory. Journal of Electronic Commerce Research: JECR, 13(4), 373-385.

Amin, H., Hamid, M. R. A., Lada, S., & Anis, Z. (2008). The Adoption of Mobile Banking in Malaysia: The Case of Bank Islam Malaysia Berhad (BIMB). International Journal of Business and Society, 9(2), 43.

Baker, E. W., Al-Gahtani, S. S., & Hubona, G. S. (2010). Cultural Impacts on Acceptance and Adoption of Information Technology in a Developing Country. Journal of Global Information Management (JGIM), 18(3), 35-58.

Bankole, F. O., Bankole, O. O., & Brown, I. (2011). Mobile Banking Adoption in Nigeria. The Electronic Journal of Information Systems in Developing Countries, 47(1), 1-23.

Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The Interplay of Counter-conformity Motivation, Social Influence, and Trust in Customers’ Intention to Adopt Internet Banking Services: The Case of an Emerging Country. Journal of Retailing and Consumer Services, 28, 209-218.

Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research, 295(2), 295-336.

Dasgupta, N. (2011). Ingroup Experts and Peers as Social Vaccines Who Inoculate the Self-Concept: The Stereotype Inoculation Model. Psychological Inquiry, 22(4), 231-246.

Dasgupta, S., Paul, R., & Fuloria, S. (2011). Factors Affecting Behavioral Intentions Towards Mobile Banking Usage: Empirical Evidence from India. Romanian Journal of Marketing, (1), 6.

Demirkan, H., & Spohrer, J. (2014). Developing a Framework to Improve Virtual Shopping in Digital Malls with Intelligent Self-service Systems. Journal of Retailing and Consumer Services, 21(5), 860-868.

Dwivedi, U. N., Singh, P., Pandey, V. P., & Kumar, A. (2011). Structure–function Relationship Among Bacterial, Fungal and Plant Laccases. Journal of Molecular Catalysis B: Enzymatic, 68(2), 117-128.

Farah, M. F., Hasni, M. J. S., & Abbas, A. K. (2018). Mobile-banking Adoption: Empirical vidence from the Banking Sector in Pakistan. International Journal of Bank Marketing. 56(21), 456-467.

Farah, M. F., Hasni, M. J. S., & Abbas, A. K. (2018). Mobile-banking Adoption: Empirical Evidence from the Banking Sector in Pakistan. International Journal of Bank Marketing, 36(7), 1386-1413.

Gupta, A., & Arora, N. (2017). Consumer Adoption of M-banking: A Behavioral Reasoning Theory Perspective. International Journal of Bank Marketing, 35(4), 733-747.

Hussein, A. S., & Ratnawati, K. (2020). Identification of the Dimensions of Bank 4.0 Experiential Quality Based on Millennial Customer Perceptions. APMBA (Asia Pacific Management and Business Application), 9(1), 69-82.

Israel, G. D. (1992). Determining Sample Size, Froride Co-Operative Extension Service, University of Florida, Fact Sheet PEOD-6. Retrieved September 10, 2021, from https://www.gjimt.ac.in/wp content/

uploads/2017/10/2Glenn-D.IsraelDetermining-Sample-Size.pdfKamotho, N. (2009). Mobile Phone Banking: Usage Experiences in Kenya. Nairobi, KE: Catholic University of Eastern Africa.

Kimando, N. (2014). Influence of Technology Adoption on Entrepreneurial Orientation amongst SMEs Operators in Kenya. International Journal of Humanities and Social Studies, 2(7), 221-230.

Kwateng, K. O., Atiemo, K. A. O., & Appiah, C. (2019). Acceptance and Use of Mobile Banking: An Application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118-151. https://doi.org/10.1108/JEIM-03-2018-0055

Kwateng, K. O., Agyei, J., & Amanor, K. (2019). Examining the efficiency of IT applications and bank performance. Industrial Management & Data Systems, 119(9), 2072-2090. https://doi.org/10.1108/JEIM-03-2018-0055

Laukkanen, T. (2016). Consumer Adoption Versus Rejection Decisions in Seemingly Similar Service Innovations: The Case of the Internet and Mobile Banking. Journal of Business Research, 69(7), 2432-2439.

Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics Between the Trust Transfer Process and Intention to Use Mobile Payment Services: A Cross-environment Perspective. Information & Management, 48(8), 393-403.

Luarn, P., & Lin, H. H. (2005). Toward an Understanding of the Behavioral Intention to Use Mobile Banking. Computers in Human Behavior, 21(6), 873-891.

Mahfuz, M. A., Khanam, L., & Hu, W. (2016). The Influence of Culture on M-banking Technology Adoption: An Integrative Approaches of UTAUT2 and ITM. In 2016 Portland International Conference on Management of Engineering and Technology (PICMET) (pp. 824-835). Portland, OR : PICMET, Portland State University.

Merritt, C. (2011). Mobile Money Transfer Services: The Next Phase in the Evolution of Person-to Person Payments. Journal of Payments Strategy & Systems, 5(2), 143-160.

Moghavvemi, S., Salleh, N. A. M, & Standing, C. (2016). Entrepreneurs Adoption of Information System Innovation, Internet Research, 26(5), 1181-1208.

Ondiege, P. (2010). Mobile Banking in Africa: Taking the Bank to the People. Retrived September 20, 2021, from https://www.afdb.org/fileadmin/uploads/afdb/Documents/Publications/John%20brief%201_John%20brief%201.pdf

Park, D. H., Lee, J., & Han, I. (2007). The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement. International Journal of Electronic Commerce, 11, 125-148.

Poushter, J. (2016). Smartphone Ownership and Internet Usage Continues to Climb in Emerging Economies. Pew Research Center, 22(1), 1-44.

Püschel, J., Mazzon, J. A., & Hernandez, J. M. C. (2010). Mobile Banking: Proposition of an Integrated Adoption Intention Framework. International Journal of Bank Marketing, 28, 389-409.

Putri, D. A. (2018). Analyzing Factors Influencing Continuance Intention of E-payment Adoption Using Modified UTAUT 2 Model. In 2018 6th International Conference on Information and Communication Technology (ICoICT) (pp. 167-173). Bandung, Indonesia: Telkom University.

Raza, S. A., Shah, N., & Ali, M. (2019). Acceptance of Mobile Banking in Islamic Banks: Evidence from Modified UTAUT Model. Journal of Islamic Marketing, 10(1), 357-376.

Riquelme, H. E., & Rios, R. E. (2010). The Moderating Effect of Gender in the Adoption of Mobile Banking. International Journal of Bank Marketing, 67(2), 578-598.

Safeena, R., Hundewale, N., & Kamani, A. (2011). Custome’s Adoption of Mobile-commerce

a Study on Emerging Economy. International Journal of e-Education, e-Business, e-Management and e-Learning, 1(3), 228.

Schwiderski-Grosche, S., & Knospe, H. (2002). Secure Mobile Commerce. Electronics & Communication Engineering Journal, 14(5), 228-238.

Singh, S., Srivastava, V., & Srivastava, R. K. (2010). Customer Acceptance of Mobile

Banking: A Conceptual Framework. Sies Journal of Management, 7(1), 55.

Sobti, N. (2019). Impact of Demonetization on Diffusion of Mobile Payment Service in India: Antecedents of Behavioral Intention and Adoption Using Extended UTAUT Model. Journal of Advances in Management Research, 6(1), 55-67.

Soroa-Koury, S., & Yang, K. C. C. (2010). Factors Affecting Consumercial Responses to Mobile Advertising from a Social Norm Theoretical Perspective. Telematics and Informatics, 27(1), 103-113.

Sripalawat, J., Thongmak, M., & Ngramyarn, A. (2011). M-banking in Metropolitan Bangkok and a Comparison with Other Countries. The Journal of Computer Information Systems, 51(3), 67-76.

Tan, G. W. H., Chong, C. K., Ooi, K. B., & Chong, A. Y. L. (2010). The Adoption of Online Banking in Malaysia: An Empirical Analysis. International Journal of Business and Management Science, 3(2), 169-193.

Thowfeek, M. H., & Jaafar, A. (2013). The Influence of Cultural Factors on the Adoption of E-learning: A Reference to a Public University in Sri Lanka. Applied Mechanics and Materials, 263, 3424-3434.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.

Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36, 157-178.

Yang, A. S. (2009). Exploring Adoption Difficulties in Mobile Banking Services. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l’Administration, 26(2), 136-149.

Yaseen, S. G., & El Qirem, I. A. (2018). Intention to Use E-banking Services in the Jordanian Commercial Banks. International Journal of Bank Marketing, 52(4), 27-46.

Yu, C. S. (2012). Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the UTAUT Model. Journal of Electronic Commerce Research, 13(2), 104-112.

Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to Explain Mobile Banking User Adoption. Computers in Human Behavior, 26(4), 760-767.

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Published

2021-12-30

How to Cite

Kiranga, I., & Chotiyaputta, V. . (2021). Factors Affecting Technology Adoption in The Mobile Banking Sector in Kenya. Journal of ASEAN PLUS Studies, 2(2), 66–80. Retrieved from https://so06.tci-thaijo.org/index.php/aseanplus/article/view/251948