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Determinants of Accepting Internet Banking System: A Case Study in Bangladesh

  • RAHAMAN, Md. Atikur (School of Management, Jiujiang University) ;
  • LUNA, Kaniz Fatema (DBC News (Dhaka-Bangla Channel)) ;
  • KEJING, Zhang (Industrial Economics, School of Management, Jiujiang University) ;
  • PING, Zhao Lin (The International Cooperation & Exchange Division, Communications Vocational and Technical College) ;
  • TARU, Rupali Dilip (Department of Commerce & Management, Shri J.J.T. University-Rajasthan)
  • Received : 2021.01.30
  • Accepted : 2021.04.15
  • Published : 2021.05.30

Abstract

Since the service organizations have been moving towards digitization across the world, there is a wide range of technological innovations that have been integrated within the service firms, especially in banking services. As such, Internet banking is one of the innovative services that have reshaped the traditional banking activities, particularly in Bangladesh. In line with this, the research is designed to examine the Internet banking adoption based on five variables: perceived usefulness, perceived ease-of-use, trust, social influence, and perceived enjoyment, and the study also explores differences among respondents on these study variables based on gender and academic disciplines. The study has selected university students as study samples as they are the prospective customers to use Internet banking. Sample size in the research is 300, and a well-designed questionnaire was distributed to collect data. SPSS is used for statistical analysis. The research used ANOVA test to capture any difference on variables based on gender and academic disciplines. The findings indicate that male students in business have more intention to adopt Internet banking and preference for ease-of-use than female students, and business students will be more favorably inclined to adopt Internet banking service than students in other academic disciplines.

Keywords

1. Introduction

The overall economic development of a nation has been linked mainly to two broad sectors: manufacturing and service. Around the world, it has been reported that within the manufacturing sector, small- and medium-sized enterprises contribute a major part to economic growth (Asheq & Hossain, 2019; Hossain & Asheq, 2019), and within the service sector, the financial industry, especially the banking sector, accounts for a remarkable part in advancing economic growth of a country (Islam et al., 2020; Santouridis et al., 2009). As of now, financial services of the banking sector need to be more user-friendly, easily accessible and convenient in this technological time. Within the banking sector, Internet technology has unlocked numerous opportunities to enable banking institutions to offer faster and more reliable financial services at customer’s door step (Jahan et al., 2020). Internet banking has been viewed as the fastest-developing financial service due to its ease and flexible functionality. Globally, the adoption of Internet banking has been increasing at a sharp rate (Sadeghi & Heidarzadeh, 2010; Oruç & Tatar, 2017). The introduction of Internet in the financial sector has transformed the sector in a new way not experienced earlier (Raza et al., 2020; Rahi et al., 2019; Chauhan et al., 2019). This novel technology presents various benchmarks of financial benefits for today’s digital customers, such as instant money-sending facility, faster payment option, and payment of utility bills (Liang & Nguyen, 2018). With the help of Internet banking, people can have quick access to their important financial particulars, because of its uninterrupted speed, and also financial institutions are able to keep their service costs down (Rahi & Abd-Ghani, 2019; Ali & Raza, 2017). Moreover, Internet banking service has been able to properly address the exact and timely needs of banking customers through providing customized financial benefits to them (Moghavvemi et al., 2018).

Although, there are several economic and social problems (Hossain & Asheq, 2020), Bangladesh is a country whose economic growth and GDP rate has been accelerating for the last few years (Akhter, Hossain & Asheq, 2020; Rahaman et al., 2020a; Rahaman et al., 2020b), because of a stable financial market and suitable environment for manufacturing industry’s development (Gazi et al., 2021). It is observed that Internet usage is growing among the Bangladeshi people (Akhter, Asheq, Hossain, & Karim, 2020) and the current banking sector is also adopting Internet-based technology within their present banking operations to provide better and updated banking services to the customers (Rahaman et al., 2020c). Therefore, it has become urgent for the banking sector to identify and understand the variables, which might affect prospective banking customer’s intention and willingness to accept Internet banking services in Bangladesh. It is crucial for banking management committee to examine what factors might predict customer’s willingness to use Internet banking in this digitalized environment. Since, the growth of Internet banking is reliant on how people embrace and understand this novel banking service, hence banking institutions are required to look for factors that might induce customers to adopt Internet banking. Therefore, the research aims to examine the gender difference and differences among university students from various disciplines in regard to factors that would influence customers to adopt Internet banking in Bangladesh.

2. Literature Review

2.1. Perceived Usefulness (PU)

The perceived usefulness (PU) refers to the belief of customers about Internet banking that this service is supposed to enhance their financial fulfillment and transactions (Bashir & Madhavaiah, 2014). PU examines the degree of potentiality for a technological mechanism or process to be useful to an individual (Venkatesh et al., 2003). The literature has advocated that PU can be a vital factor in shaping a person’s behavior to adopt technological services (Davis, 1993). PU is found to be an influential variable in driving a person’s attitude toward a particular technology to accept (Mutahar et al., 2018). Previous studies supported the important role of PU in accelerating an individual’s willingness and propensity to adopt Internet banking (Kaur & Malik, 2019).

2.2. Perceived Ease-of-Use (PEU)

Perceived ease-of-use (PEU) defines a person’s perception about a technological service that the technological service is user-friendly, straightforward and effortless (Davis, 1993). PEU also helps to explain a person’s feeling toward the easiness of any given technology (Agarwal & Karahanna, 2000). Customers perceive Internet banking facility to be more reliable if the service’s technological platform tends to be simpler for the service users (Alalwan et al., 2018). Various research stated that the higher level of PEU will lead to more willingness and eagerness of a person to adopt Internet banking facility (Vukovic et al., 2019).

2.3. Trust (TR)

In the literature, there are several terms defining the concept of ‘trust’. In marketing research, ‘trust’ can be described as the level of confidence and credence the customers might have in service-providing institution’s capacity to deliver trusted service (Bashir & Madhavaiah, 2015). Trust (TR) essentially shows a person’s prospect to constantly rely on a precise function, where a function can be referred as to a specific service (Koksal, 2016). It is a critical variable to offer potential trust and credence to the targeted customers. It is the prime responsibility for the financial sector to deploy a system, which will build a trusted service mechanism. Gefen et al. (2003) stated that trust would extend a supreme role in balancing conflict and grievance of the customers.

2.4. Social Influence (SI)

The term ‘social influence’ (SI) can be explained as “the persons’ perception that most people such as friends, family, colleagues, peers and social group, who are important to him think he should or should not use the Internet banking services” (Fishbein & Ajzen, 1975). The significance of SI in regard to technology adoption has extensively been researched in the literature (Kesharwani & Tripathy, 2012). Various studies have found a positive effect of social influence (SI) on intention to adopt Internet banking. Martins et al. (2014) found that SI is a potential determinant of Internet banking adoption.

2.5. Perceived Enjoyment (PE)

The term ‘enjoyment’ refers to the internal motivation of a person to utilize and use a structure (Bashir & Madhavaiah, 2015). Perceived enjoyment (PE) defines a person’s level of enjoyment about a new technology, meaning that to what level the technological service such as internet banking will be enjoyable from customer’s viewpoint (Davis et al., 1992). Until now, several research efforts have been made to examine the impact of PE on new technology adoption (Lee, 2009). It can be perceived that, if customers find the interface with Internet banking service more fun and enjoyable, then they will put more focus on this, which will lead to increasing their eagerness to accept Internet banking service (Abbad, 2013).

3. Methodology

The study has collected data from a few universities in Bangladesh, which have various education departments. From these universities, students in bachelor and master level degree programs have participated in this research as samples. To survey the university students, a systematic questionnaire has been developed, which has been self-administered. 400 questionnaires have been distributed among the students who were studying at various departments such as Business Administration, Humanities, Science and Engineering, and 352 survey responses were duly collected; out of which 300 responses were valid and duly complete.

The final sample size of the research is n = 300. The research has used a questionnaire that incorporated basic and generic questions about students such as their gender, which year they were studying, their academic discipline, income, and employment level; a five-point Likert scale was used to measure the study variables. To identify whether these variables are reliable, the study used Cronbach’s Alpha of at least 0.7 or more, and for validity purpose, loading value of 0.5 or more is considered as acceptable (Table 1). SPSS was used to analyze the study data.

Table 1: Reliability Analysis

4. Results and Discussion

In this research, all the respondents (n = 300) were university students who were studying at different disciplines at the time of the survey. By analyzing age category, it is noted that the majority were in the first and second year of their bachelor program (n = 212, 70.60 percent), and only four students were over 40 years old (1.3 percent), indicating that respondents were young students (Table 2).

Table 2: Descriptive Information

More than half of the students were male (n = 167, 55.7 percent), and 133 female students took part in this study (44.3 percent). Out of 300 students, 137 students were studying in departments of Business Administration (45.7 percent), 108 students were studying in Science and Engineering departments (36.0 percent), and 55 students were from Humanities departments (18.3 percent). By examining income level, it is noticed that 135 students earned below 10, 000 Bangladeshi taka (45.0 percent), 124 students earned between 10, 001 and 20, 000 taka (41.3 percent), meaning that more than 80% of the students’ income level were not more than 20, 000 taka, whereas only two students were earning above 40, 000 taka (0.70 percent). It is also noticeable that 109 students were self-employed (36.3 percent), 18 were in full-time employment (6.0 percent), 41 had part-time job (13.7 percent), and 132 students were not employed (44.0 percent).

The research carried out ANOVA analysis to gauge whether there are any gender differences prevailing between male and female samples based on variables such as intention, usefulness, ease-of-use, trust, social influence, and perceived enjoyment. Table 3 shows that there have been two differences between male and female samples. Male students have more intention than female students to adopt Internet banking (F = 9.932, p = 0.002), and male students are more aware of perceived ease-of-use than female counterparts (F = 4.323, p = 0.038). Historically, the male population makes more banking transactions than the female population, due to the fact that male students might have more intention to use Internet banking. As male students do relatively more banking transactions on a frequent basis, hence they will look for easiness of the technology through which they can easily complete their financial transactions. Because of this reason, male students might have more interest on perceived ease-of-use of Internet banking service.

Table 3: One-way ANOVA Tests on Gender

Table 4 shows the differences among students of various academic disciplines based on variables such as intention, usefulness, ease-of-use, trust, social influence, and perceived enjoyment. Table 4 shows that there are two significant differences between the students from Business Administration, Humanities, and Science and Engineering department. The students from the Business Administration department have more willingness to accept Internet banking than students from Humanities and Science and Engineering departments (F = 7.777, p = 0.000). The reason can be that Business students tend to start their own business and startups, which might require a lot of banking transactions; hence Business students are more willing to accept Internet banking. Table 4 also shows that students from Business Administration department have more interest on social influence than other students (F = 5.412, p = 0.005). Also, Business students have more perception on other study variables as they have higher mean values than other disciplinary students.

Table 4: One-Way ANOVA Tests on Educational Discipline

5. Conclusion

The study surveyed 300 students from various universities who were studying different programs at different departments. The results indicate that there have been differences between male and female students on intention to use and adopt Internet banking and on perceived ease-of-use. In another words, male students tend to accept Internet banking and are more favorably inclined toward ease-of-use of Internet banking. The results also show that Business Administration students indicate more intention and willingness to adopt Internet banking and consider social influence more favorably as one of the determining variables that might affect their behaviors to accept Internet banking services. This is a quantitative study, which could be treated as limitation, hence future research might involve qualitative aspects for more explanatory findings. The study was conducted among private universities; taking samples from public universities can be undertaken by future research. Further research might also consider other service employees who are collar employees as study samples for stronger results. The research can be helpful for banking institutions to develop different strategic steps for different customers to promote their Internet banking service.

References

  1. Abbad, M. M. (2013). E-banking in Jordan. Behaviour & Information Technology, 32(7), 681-694. https://doi.org/10.1080/0144929X.2011.586725
  2. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694. https://doi.org/10.2307/3250951
  3. Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers' intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125-138. https://doi.org/10.1016/j.jretconser.2017.08.026
  4. Akhter, A., Hossain, M. U., & Asheq, A. A. (2020). Influential factors of social entrepreneurial intention in Bangladesh. Journal of Asian Finance, Economics and Business, 7(8), 645-651. https://doi.org/10.13106/JAFEB.2020.VOL7.NO8.645
  5. Akhter, A., Asheq, A. A., Hossain, M. U., & Karim, M. K. (2020). Exploring customer intentions to adopt mobile banking services: evidence from a developing country. Banks and Bank Systems, 15(2), 105-116. https://doi.org/10.21511/bbs.15(2).2020.10
  6. Ali, M., & Raza, S. A. (2017). Service quality perception and customer satisfaction in Islamic banks of Pakistan: the modified SERVQUAL model. Total Quality Management & Business Excellence, 28(5/6), 559-577. https://doi.org/10.1080/14783363.2015.1100517
  7. Asheq, A. A., & Hossain, M. U. (2019). SME Performance: Impact of Market, Customer and Brand Orientation. Academy of Marketing Studies Journal, 23(1), 1-9.
  8. Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102. https://doi.org/10.1108/JIBR-02-2014-0013
  9. Bashir, I., & Madhavaiah, C. (2014). Determinants of young consumers' intention to use Internet banking services in India. Vision, 18(3), 153-163. https://doi.org/10.1177/0972262914538369
  10. Chauhan, V., Yadav, R., & Choudhary, V. (2019). Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption: A study of Indian consumers. International Journal of Bank Marketing, 37(1), 323-339. https://doi.org/10.1108/IJBM-02-2018-0028
  11. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  12. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022
  13. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
  14. Gazi, A. I., Rahaman, A., Waliullah, S. S. A., Ali, J., & Mamoon, Z. R. (2021). Financial Performance of Converted Commercial Banks from Non-Banking Financial Institutions: Evidence from Bangladesh. Journal of Asian Finance, Economics and Business, 8(2), 923-931. https://doi.org/10.13106/JAFEB.2021.VOL8.NO2.0923
  15. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 27(1), 51-90. https://doi.org/10.2307/30036519
  16. Hossain, M. U., & Asheq, A. A. (2020). Do leadership orientation and proactive personality influence social entrepreneurial intention? International Journal of Management and Enterprise Development, 19(2), 109-125. https://doi.org/10.1504/ijmed.2020.107396
  17. Hossain, M. U., & Asheq, A. A. (2019). The Role of Entrepreneurial Orientation to SME Performance in Bangladesh. International Journal of Entrepreneurship, 23(1), 1-6.
  18. Islam, R., Ahmed, S., Rahman, M., & Asheq, A. A. (2020). Determinants of service quality and its effect on customer satisfaction and loyalty: an empirical study of private banking sector. The TQM Journal. https://doi.org/10.1108/TQM-05-2020-0119
  19. Jahan, N., Ali, M. J., & Al Asheq, A. (2020). Examining the Key Determinants of Customer Satisfaction Internet Banking Services in Bangladesh. Academy of Strategic Management Journal, 19(1), 1-6.
  20. Kaur, A., & Malik, G. (2019). Examining factors influencing Indian customers' intentions and adoption of Internet banking: Extending TAM with electronic service quality. Innovative Marketing, 15(2), 42-57. https://doi.org/10.21511/im.15(2).2019.04
  21. Kesharwani, A., & Tripathy, T. (2012). Dimensionality of perceived risk and its impact on Internet banking adoption: An empirical investigation. Services Marketing Quarterly, 33(2), 177-193. https://doi.org/10.1080/15332969.2012.662461
  22. Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327-346. https://doi.org/10.1108/IJBM-03-2015-0025
  23. Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006
  24. Liang, C. C., & Nguyen, N. L. (2018). Marketing strategy of internet-banking service based on perceptions of service quality in Vietnam. Electronic commerce research, 18(3), 629-646. https://doi.org/10.1007/s10660-017-9261-z
  25. Martins, C., Oliveira, T., & Popovic, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002
  26. Moghavvemi, S., Lee, S. T., & Lee, S. P. (2018). Perceived overall service quality and customer satisfaction: a comparative analysis between local and foreign banks in Malaysia. International Journal of Bank Marketing, 36(5), 908-930. https://doi.org/10.1108/IJBM-06-2017-0114
  27. Mutahar, A. M., Daud, N. M., Thurasamy, R., Isaac, O., & Abdulsalam, R. (2018). The Mediating of Perceived Usefulness and Perceived Ease of Use: The Case of Mobile Banking in Yemen. International Journal of Technology Diffusion (IJTD), 9(2), 21-40. https://doi.org/10.4018/IJTD.2018040102
  28. Oruc, O. E., & Tatar, C. (2017). An investigation of factors that affect internet banking usage based on structural equation modeling. Computers in Human Behavior, 66, 232-235. https://doi.org/10.1016/j.chb.2016.09.059
  29. Rahaman, M. A., Ali, M. J., Mamoon, Z. R., & Asheq, A. A. (2020a). Understanding the Entrepreneurial Intention in the Light of Contextual Factors: Gender Analysis. Journal of Asian Finance, Economics and Business, 7(9), 639-647. https://doi.org/10.13106/jafeb.2020.vol7.no9.639
  30. Rahaman, M. A., Ali, M. J., Wafik, H., Mamoon, Z. R., & Islam, M. M. (2020b). What Factors Do Motivate Employees at the Workplace? Evidence from Service Organizations. Journal of Asian Finance, Economics and Business, 7(12), 515-521. https://doi.org/10.13106/jafeb.2020.vol7.no12.515
  31. Rahaman, M. A., Ali, M. J., Kejing, Z., Taru, R. D., & Mamoon, Z. R. (2020c). Investigating the Effect of Service Quality on Bank Customers' Satisfaction in Bangladesh. Journal of Asian Finance, Economics and Business, 7(10), 823-829. https://doi.org/10.13106/jafeb.2020.vol7.n10.823
  32. Rahi, S., & Abd-Ghani, M. (2019). Integration of expectation confirmation theory and self-determination theory in Internet banking continuance intention. Journal of Science and Technology Policy Management, 10(3), 533-550. https://doi.org/10.1108/JSTPM-06-2018-0057
  33. Rahi, S., Othman Mansour, M. M., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411-435. https://doi.org/10.1108/JRIM-02-2018-0032
  34. Raza, S. A., Umer, A., Qureshi, M. A., & Dahri, A. S. (2020). Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model. The TQM Journal, 32(6), 1443-1466. https://doi.org/10.1108/TQM-02-2020-0019
  35. Sadeghi, T., & Heidarzadeh, H. K. (2010). Customer satisfaction factors (CSFs) with online banking services in an Islamic country. Journal of Islamic Marketing, 1(3), 249-267. https://doi.org/10.1108/17590831011082428
  36. Santouridis, I., Trivellas, P., & Reklitis, P. (2009). Internet service quality and customer satisfaction: examining internet banking in Greece. Total Quality Management, 20(2), 223-239. https://doi.org/10.1080/14783360802623084
  37. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
  38. Vukovic, M., Pivac, S., & Kundid, D. (2019). Technology acceptance model for the Internet banking acceptance in split. Business Systems Research, 10(2), 124-140. https://doi.org/10.2478/bsrj-2019-022