Factors affecting the acceptance of mobile banking, A study of the villagers of Juibar

Document Type : Original Research

Authors

1 Assistant Prof., Department of Economic Sciences, Payame Noor University, Tehran, Iran

2 - Assistant Prof., Iran Banking Institute , Tehran, Iran.

3 - MSc. of Banking, Bank Mellat, Iran

Abstract
Mobile banking has many advantages, including reducing banking costs, social costs and environmental pollution, etc. and by increasing the acceptance and orientation of the people, especially the villagers, it can play a significant role in the sustainable development of the regional and national economy. Juibar city is one of the cities of Mazandaran province, where about 60% of its population are rural residents. The purpose of this research is to investigate the factors affecting the acceptance of mobile banking among the villagers of Juibar. In the summer of 2023, a sample of 384 people was selected from among the villagers who referred to 15 active bank branches in the city and after distributing the questionnaire, the PLS structural equation model was extracted. The results showed that the perceived usefulness with a relatively strong path coefficient (β=0.312 ,t=6.179), ease of use with a strong path (β=0.421 ,t=11.367), and price with a weak path coefficient (β=0.104 ,t=2.489)had a significant effect on the use of mobile banking among rural customers of banks in Juibar city. Trust (β=0.046 ,t=0.906)and social influence (β=-0.043 ,t=0.983)on the use of mobile banking had no significant effect. From the point of view of the research subjects, according to Likert's five-point spectrum, the current state of ease of use variable is significant and 10% more than the average, the perceived usefulness variable is significant and 13.6% less than the average, the trust variable is significant and 5% less than the average. Average, social influence variable was significant and 6.5% lower than average. In rural areas, considering the distance from the village to the city and the problems of villagers accessing bank branches, the expansion of mobile bank services and the provision of incentives for mobile bank users in villages can have a significant impact on their willingness and acceptance of mobile banking and by reducing Economic and social cost, will increase the physical presence of customers in banks, the welfare of the society.

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بانک مرکزی جمهوری اسلامی ایران(الف، 1401). خلاصه تحولات اقتصادی کشور . https://cbi.ir/ page/27955.aspx
بانک مرکزی جمهوری اسلامی ایران(ب، 1401). خلاصه تحولات اقتصادی کشور. https://cbi.ir/ page/23356.aspx
جمشیدی, ع.ر. ، جمینی, د. و جمشیدی, م. (1402). واکاوی ارتباط شاخص‌های کارآفرینی و توسعه پایدار روستایی با استفاده از تحلیل کانونی، مورد مطالعه: سکونتگاه‌های روستایی غرب دریاچه ارومیه. راهبردهای توسعه روستایی, 10(4), 429-446. https://doi.org/10.22048/rdsj.2023.360063.2050
رستگاری پور, ف. , مساحی, ف. و اربابی, ع. ا. (1400). بررسی تأثیر عوامل اقتصادی و اجتماعی بر مصرف خانوارهای روستایی و شهری. راهبردهای توسعه روستایی, 8(4), 447-459. https://doi.org/10.22048/rdsj.2021.244091.1869
    رسولیان, ع. , حکیم پور, ح. و محمودزاده, م. (1401). نقش آمیخته‌های بازاریابی در جذب سرمایه گذاری خارجی در راستای توسعه اقتصاد روستایی (مطالعه موردی: خراسان رضوی). راهبردهای توسعه روستایی, 9(4)،541-554.                                                             https://doi.org/10.22048/rdsj.2022.325305.1999
سلطانی, ل.، تقیلو, ع. ا. (1401). تحلیل ظرفیت پایداری نظام اقتصاد روستایی (مطالعه موردی: بخش مرکزی شهرستان ارومیه). راهبردهای توسعه روستایی, 9(3), 291-311. https://doi.org/10.22048/rdsj.2022.300781.1974
عنابستانی, ع.ا. و جوانشیری, م. (1402). تحلیل اثرگذاری فناوری دیجیتالی بر زیرساخت‌های شگل‌گیری روستای خلاق در سکونتگاه‌های پیراشهری (مورد: کلانشهرمشهد). راهبردهای توسعه روستایی, 10(2), 137-164. https://doi.org/10.22048/rdsj.2022.338764.2013
 Abdennebi, H.B. (2023).M-banking adoption from the developing countries perspective: A mediated model. Digital Business, 3,1-16. https://doi.org/10.1016/j.digbus.2023.100065
Afshan, S., & Sharif, A. (2016). Acceptance of M-banking framework in Pakistan. Telematics and Informatics, 33(2), 370–387. https://doi.org/10.1016/j.tele.2015.09.005.
Abbad, M. M. (2013). E-banking in Jordan. Behaviour & Information Technology, 32(7), 681–694.   https://doi.org/10.1080/0144929X.2011.586725.
Akhtar, S., Irfan, M., Sarwar, A. & Asma, A. (2019). Factors influencing individuals' intention to adopt mobile banking in China and Pakistan: The moderating role of cultural values, Journal of Public Affairs, 19(1), e1884.          . http://dx.doi.org/10.1002/pa.1884.
Akturan, U., & Tezcan, N. (2012). M-banking adoption of the youth market: Perceptions and intentions. Marketing Intelligence & Planning, 30(4), 444–459. https://doi.org/ 10.1108/02634501211231928.
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of M-banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j. ijinfomgt.2017.01.002.
Ashraf, M. (2018). Use of bounded rationality theory to understand participation of women in Islamic microfinance. Enterprise Development and Microfinance. 29. 186-208. https://doi.org/10.3362/1755-1986.18-00005.
Ashraf, M. A., Joarder, M. H. R., & Ratan, S. R. A. (2019). Consumers’ anti-consumption behavior toward organic food purchase: An analysis using SEM. British Food Journal, 121(1), 104–122. https://doi.org/10.1108/BFJ-02-2018-0072.
Awad, T. A., &Dessouki, Y. S. A. (2017). M-banking roll-out in Egypt: Antecedences of M-banking adoption. International Journal of E-Services and Mobile Applications, 9(2), 1–22. https://doi.org/10.4018/IJESMA.2017040101.
Baber, H. (2019). E-SERVQUAL and its impact on the performance of Islamic banks in Malaysia from the customer’s perspective. The Journal of Asian Finance, Economics and Business, 6(1), 169–175.
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.
Ching, M.C., Aik, C.T., Jia, J.S., & Kam, H.O. (2011). "Factors Affecting Malaysian Mobile Banking Adoption: An Empirical Analysis", International journal of network and mobile technologies, 2 (3).142-165.
Choudrie, J., Junior, C.-O., McKenna, B., & Richter, S. (2018). Understanding and conceptualising the adoption, use and diffusion of M-banking in older adults: A research agenda and conceptual framework. Journal of Business Research, 88(449), 465. https://doi.org/10.1016/j.jbusres.2017.11.029
CRA, 2022. Open data, Mobile phone field:  https://opendata.cra.ir /Dashboard /72571e4b-bd7d-4fd2-bfc2a0e497dd5a34?e=false&vo=viewonly.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
 Davis, F. D., Bagozzi, R. P., &Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
George, J. F. (2004). The theory of planned behavior and Internet purchasing. Internet Research, 14(3), 198–212. https://doi.org/10.1108/10662240410542634.
Grimes, S. (2003). The digital economy challenge facing peripheral rural areas. Progress in Human Geography, 27(2), 174-193. DOI: 10.1191/0309132503ph421oa
Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to M-banking. Expert Systems with Applications, 36(9), 11605–11616. https://doi.org/ 10.1016/j.eswa.2009.03.024
Govender, I. & Sihlali, W. (2014). A Study of Mobile Banking Adoption among University Students Using an Extended TAM. Mediterranean Journal of Social Sciences. 5. 451-459. https://doi.org/10.5901/mjss.2014.v5n7p451.
Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to M-banking. Expert Systems with Applications, 36(9), 11605–11616. https://doi.org/ 10.1016/j.eswa.2009.03.024
Heryani, I. I. P., Simanjuntak, M., & Maulana, A. (2020). Behavioral usage of internet banking as financial transaction tool. Jurnal Aplikasi Bisnis dan Manajemen (JABM), 6 (1), 12-19. https://doi.org/10.17358/jabm.6.1.86, 86-86.
Ho, J. C., Wu, C.-G., Lee, C.-S., & Pham, T.-T. T. (2020). Factors affecting the behavioral intention to adopt M-banking: An international comparison. Technology in Society, 63, Article 101360. https://doi.org/10.1016/j.techsoc.2020.101360.
Ho, S & Ko, Y. (2008). Effects of self-service technology on customer value and customer readiness: the case of Internet banking, Internet Res. 18 (4), 427–446. https://doi.org/10.1108/ 10662240810897826. 
Jahanyan, S. & Upadhyay, P.(2016).Analyzing user perspective on the factors affecting use intention of mobile based transfer payment, Internet Res., 26 (1),38–56, https://doi.org/10.1108/IntR-05-2014-0143.
Jeong, B.& Yoon, T. (2013). An Empirical Investigation on Consumer Acceptance of Mobile Banking Services. Business and Management Research. 2. https://doi.org/10.5430/bmr.v2n1p31.
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. http://dx.doi.org/10.21511/im.15(2).2019.04
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
 Koksal, M.H. (2016). The intentions of Lebanese consumers to adopt mobile banking, Int. J.Bank Market. 34 (3), 327–346, https://doi.org/10.1108/IJBM-03-2015-0025.
La Barbera, F.&Ajzen, I. (2020). Control Interactions in the Theory of Planned Behavior: Rethinking the Role of Subjective Norm. Europe’s Journal of Psychology. 16. 401-417. https://doi.org/10.5964/ejop.v16i3.2056.
Laukkanen, T., Sinkkonen, S., Kivijärvi, M., & Laukkanen, P. (2007). Innovation resistance among mature consumers. Journal of Consumer Marketing, 24(7), 419–427. https://doi.org/10.1108/07363760710834834
 Le, H.B.H., Ngo, C.T.,Trinh,T.T.H. & Nguyen, T.T.P.(2020). Factor Affecting Customers’ Decision to Use Mobile Banking Service: A Case of Thanh Hoa Province, Vietnam .Journal of Asian Finance, Economics and Business, 7(2), 205-212. DOI:10.13106/jafeb.2020.vol7.no2.205
  Li´ebana-Cabanillas, F., Marinkovic, V., Ramos de Luna, I., &Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117–130. https://doi.org/10.1016/j.techfore.2017.12.015.
Malaquias, R. F., & Silva, A. F. (2020). Understanding the use of M-banking in rural areas of Brazil. Technology in Society, 62, Article 101260. https://doi.org/10.1016/j. techsoc.2020.101260
  Mortimer, G., Neale, L., Hasan, S. F. E., & Dunphy, B. (2015). Investigating the factors influencing the adoption of m-banking: A cross cultural study. International Journal of Bank Marketing, 33(4), 545–570. https://doi.org/10.1108/IJBM-07-2014-0100
  Mostafa, A. A. N., & Eneizan, B. (2018). Factors Affecting Acceptance of Mobile Banking in Developing Countries. International Journal of Academic Research in Business and Social Sciences, 8(1), 340–351.  https://doi.org/10.6007/IJARBSS/v8-i1/3812
   Nair, S., Ong, C., Tabianan, K., Perumal, I & Ahmad, S.(2024). Factors affecting Behavioral Intention to Use Mobile Banking Among Malaysian Rural Residents. Journal of Southwest Jiatong University, 59(1), 283-298. https://doi.org/10.35741/issn.0258-2724.59.1.24.
Nguyen, V. A., & Nguyen, T. P. T. (2020). An integrated model of CSR perception and TAM on intention to adopt M-banking. The Journal of Asian Finance, Economics and Business, 7(12), 1073–1087. https://doi.org/10.13106/jafeb.2020.vol7.no12.1073
Nistor, N. (2014). When technology acceptance models won’t work: Non-significant intention-behavior effects. Computers in Human Behavior, 34:299-300. http://dx.doi.org/10.1016/j.chb.2014.02.052
Owusu Kwateng, K., Osei Atiemo, K.A. & Appiah, C.(2019). Acceptance and use of mobile banking: an application of UTAUT2, J. Enterprise Inf. Manag. 32 (1)118–151, https://doi.org/10.1108/JEIM-03-2018-0055.
Priya, R., Gandhi, A. V., & Shaikh, A. (2018). M-banking adoption in an emerging economy: An empirical analysis of young Indian consumers. Benchmarking: An International Journal, 25(2), 743–762. https://doi.org/10.1108/BIJ-01-2016-0009
Purnamasari V., Kinanti, S.A. & Wahyuningsih,R.D. (2024), “How Far Do Mobile Banking Apps Support Digital Finance Inclusion?” in The 6th International Research Conference on Economics and Business, KnE Social Sciences, pages 256–267. https://DOI.org/10.18502/kss.v9i4.15073.
  Shaikh, A. A., &Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129– 142. https://doi.org/10.1016/J.TELE.2014.05.003
Shaikh, A. A., Glavee-Geo, R., & Karjaluoto, H. (2018). How relevant are risk perceptions, effort, and performance expectancy in M-banking adoption? International Journal of E-Business Research, 14(2), 39–60. https://doi.org/10.4018/ IJEBR.2018040103
  Sheng, M., Wang, L., & Yu, Y. (2011). An empirical model of individual mobile banking acceptance in China. In 2011 International Conference on Computational and Information Sciences 434–437. https://doi.org/10.1109/ICCIS.2011.75
Scherer, R., Siddiq, F., &Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
Scherer, R., & Teo, T. (2019). Unpacking teachers’ intentions to integrate technology: A meta-analysis.Educational Research Review, 27, 90–109.https://doi.org/10.1016/j. edurev.2019.03.001.
Singh, N., & Sinha, N. (2020). How perceived trust mediates merchant’s intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52, Article 101894. https://doi.org/10.1016/j.jretconser.2019.101894
Siyal, A. W., Ding, D., &Siyal, S. (2019). M-banking barriers in Pakistan: A customer perspective of adoption and continuity intention. Data Technologies and Applications, 53(1), 58–84. https://doi.org/10.1108/DTA-04-2018-0022
Somville, V. &Vandewalle, L. (2023). Access to banking, savings and consumption smoothing in rural India, Journal of Public Economics,223 , 104900, https://doi.org/10.1016/j.jpubeco.2023.104900.
Vukovi´c, M., Pivac, S., &Kundid, D. (2019). Technology acceptance model for the internet banking acceptance in split. Business Systems Research: International journal of the Society for Advancing Innovation and Research in Economy, 10(2), 124–140. https://doi.org/10.2478/bsrj-2019-022
 (The) World Bank 2007. Agriculture & Rural Development Department, Providing Financial Services in Rural Areas,A Fresh Look at Financial Cooperatives. Washington, D.C. 20433. https://openknowledge.worldbank.org/server/api/core/bitstreams/eb142b32-c637-56b9-863b-238972de6c1e/content
   Yang, S., Lu, Y., Gupta, S., & Cao, Y. (2012). Does context matter? The impact of use context on mobile internet adoption.International Journal of Human-Computer Interaction, 28(8), 530–541. https://doi.org/10.1080/10447318.2011.627299
  Yıldırım, İ. & Ayar, İ. (2024). Consumers' Intention to Use Mobile Banking Applications as a Marketing Tool, an Integrated Tpb and Tam Model, International Journal of Eurasia Social Sciences (IJOESS), 15(55), 123-140. DOI:http://dx.doi.org/10.35826/ijoess.4415.