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The identification of factors influencing the adoption of virtual banking and its consequences | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 6، دوره 16، شماره 9، آذر 2025، صفحه 57-71 اصل مقاله (622.36 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.35407.5272 | ||
| نویسندگان | ||
| Monireh Akbari1؛ Mahdi Mahmoudzadeh Vashan* 2؛ Hossein Hakimpour1 | ||
| 1Department of Business Management, Birjand Branch, Islamic Azad University, Birjand, Iran | ||
| 2Department of Management, Faculty of Humanities, Islamic Azad University, Birjand, Iran | ||
| تاریخ دریافت: 02 خرداد 1403، تاریخ پذیرش: 08 شهریور 1403 | ||
| چکیده | ||
| In today's world, virtual services play a major role in commerce, including banking activities. Virtual banking is currently the most extensive and newest form of banking services, offering a wide range of services to customers. The present study was conducted to identify factors influencing the adoption of virtual banking and its consequences. This research is applied in terms of its purpose and is considered a descriptive survey study based on its type. It was conducted using a mixed-method approach (qualitative-quantitative). The statistical population of the qualitative section includes 14 academic and banking experts, consisting of experienced university professors and banking specialists from Tehran Province, selected through purposive sampling. In the quantitative section, 350 employees and 385 customers of Saderat Bank branches in Tehran Province were selected using cluster and convenience sampling, respectively. In this research, the tool for collecting qualitative data was semi-structured interviews, and the tool for collecting quantitative data was a researcher-designed questionnaire. Experts confirmed the questionnaire's face, construct, and content validity, and Cronbach's alpha coefficient was used to determine its reliability. This coefficient was calculated to be 0.976 for the research questionnaire, which is statistically acceptable. To validate the model in the quantitative section, structural equation modelling with a partial least squares (PLS) approach was used, through Smart PLS3 software. In the qualitative section, the data from the interviews, through open, axial, and selective coding, led to the development of a grounded theory in virtual banking adoption. The model designed in this study includes 36 subcategories within 6 main categories, demonstrating causal factors, contextual factors, intervening factors, core phenomena, strategies, and outcomes. In the quantitative section, the significance and standard coefficient of the model components were also confirmed for model validation. | ||
| کلیدواژهها | ||
| virtual banking؛ Iran's banking industry؛ grounded theory | ||
| مراجع | ||
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[1] I. Ajzen, The theory of planned behavior, Organ. Behav. Human Decis. Proces. 50 (1991), no. 2, 179–211. [2] I. Ajzen and M. Fishbein, Understanding Attitudes and Predicting Social Behavior, Prentice-Hall, Englewood Cliffs, NJ, 1980. [3] S. Ananda, S. Devesh, and A.M. Al Lawati, What factors drive the adoption of digital banking? An empirical study from the perspective of Omani retail banking, J. Financ. Serv. Market. 25 (2020), no. 1–2, 14–24. [4] P.Y. Arjunwadkar, FinTech: The Technology Driving Disruption in the Financial Services Industry, CRC Press, 2018. [5] I. Benbasat and H. Barki, Quo Vadis TAM?, J. Assoc. Inf. Syst. 8 (2007), no. 4, 7. [6] K. Charmaz, Constructing Grounded Theory: A Practical Guide Through Qualitative Research, Sage Publications Ltd, London, 2006. [7] A.Y.L. Chong, K.B. Ooi, B. Ooi, and B.I. Tan, Online banking adoption: an empirical analysis, Int. J. Bank Market. 28 (2010), no. 4, 267–287. [8] S. Cohen, D. Janicki-Deverts, and G.E. Miller, Psychological stress and disease, J. Amer. Med. Assoc. 298 (2007), 1685–1687. [9] J. Creswell and Ch.N. Poth, Qualitative Inquiry and Research Design: Choosing Among Five Approaches, Sage Publications, 2016. [10] F.D. Davis, R.P. Bagozzi, and P.R. Warshaw, User acceptance of computer technology: A comparison of two theoretical models, Manag. Sci. 35 (1989), no. 8, 982–1003. [11] D. Dhaggara, M. Goswami, and G. Kumar, Impact of trust and privacy concerns on technology acceptance in healthcare: an Indian perspective, Int. J. Med. Inf. 141 (2020), no. 4, 104–164. [12] P. Eriksson and A. Kovalainen, Qualitative Methods in Business Research, Sage, London, 2008. [13] M.D. Faruque and N. Kabir Biplob, Establishment of full-fledged virtual banking in Bangladesh: measures to overcome obstacles, Int. J. Econ. Finance Manag. Sci. 4 (2016), no. 1, 26–30. [14] B. Glaser and A. Strauss, The Discovery of Grounded Theory, Aldine Publishing Company, Hawthorne, NY, 2006. [15] P.J. Hanges, J. Aiken, and X. Chen, Diversity, organizational climate, and organizational culture: The role they play in influencing organizational effectiveness, Proc. Lib. Assess. Conf. Build. Effect. Sustain. Practic. Assess., Charlottesville, VA, 2006, pp. 359–368. [16] L. Harst, H. Lantzsch, and M. Scheibe, Theories predicting end-user acceptance of telemedicine use: systematic review, J. Med. Internet Res. 21 (2019), no. 5, 131–152. [17] A.A. Karakara and E.S. Osabuohien, Households’ ICT access and bank patronage in West Africa: Empirical insights from Burkina Faso and Ghana, Technol. Soc. 56 (2019), 116–125. [18] M. Keramati, Measuring the satisfaction of users of the electronic services of the official agencies of the Social Security Organization located in Tehran, Second Int. Conf. New Res. Solut. Manag. Account. Econ., Tehran, 2018. [19] J.M. Kolodinsky, J.M. Hogarth, and M.A. Hilgert, The adoption of electronic banking technologies by US consumers, Int. J. Bank Market. 22 (2004), no. 4, 238–259. [20] D.T.A. Kumari and B.B. Tharanga, Impact of e-service quality on customer adoption of virtual banking services in Sri Lanka, Sri Lanka J. Manag. Stud. 3 (2021), no. 1, 151–163. [21] M.C. Lee, Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit, Electr. Commerce Res. Appl. 8 (2009), no. 3, 113–128. [22] Y.-H. Lee, Y.-C. Hsieh, and C.-N. Hsu, Adding innovation diffusion theory to the technology acceptance model: Supporting employees’ intentions to use e-learning systems, Educat. Technol. Soc. 14 (2011), no. 4, 124–137. [23] Y. Lincoln and E. Guba, Naturalistic Inquiry, Beverly Hills. CA: Sage, 1985. [24] R. Mushtaq and C. Bruneau, Microfinance, financial inclusion and ICT: Implications for poverty and inequality, Technol. Soc. 59 (2019), 101–154. [25] P. Mwila, Assessing the attitudes of secondary school teachers towards the integration of ICT in the teaching process in Kilimanjaro, Tanzania, Int. J. Educat. Dev. Using Info. Commun. Technol. 14 (2018), no. 3, 223–238. [26] W. Nasri and L. Charfeddine, Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior, J. High Technol. Manag. Res. 23 (2012), no. 2, 1–14. [27] D. Neacsu, Virtual banking–new age banking system, Internet Res. 16 (2010), no. 3, 123–136. [28] M. Nouri Shamsabad, Getting to know the new banks of the world, The world of economics, https://donya-e[1]eqtesad.com/, 2021. [29] S. Ozdemir and P. Trott, Exploring the adoption of a service innovation: A study of internet banking adopters and non-adopters, J. Financ. Serv. Market. 13 (2009), no. 4, 284–290. [30] A. Parasuraman and C.L. Colby, An updated and streamlined technology readiness index: TRI 2.0, J. Serv. Res. 18 (2015), no. 1, 59–74. [31] K.J. Patel and H.J. Patel, Adoption of internet banking services in Gujarat, Int. J. Bank Market. 36 (2018), no. 1, 147–169. [32] H. Rezvani, A. Nik Mohammadi, L. Alirezaei, and R. Farhamandnasab, Investigating the relationship between electronic banking services and customer satisfaction during the outbreak of the Corona virus, a case study: Ansar Bank branches in West Tehran, 7th Int. Conf. Res. Manag. Econ. Dev., Georgia-Tbilisi, 201. [33] E.M. Rogers, The Diffusion of Innovations, (4th ed.), New York, N.Y.: Free Press, 1995. [34] A. Sanye’ei, A. Shahin, and H. Soleyman, Analysis of factors affecting the acceptance of virtual bank as a new generation of electronic banking with a case study on electronic citizens, Sci.-Res. Quart. Modern Market. Res. 3 (2012), no. 3. [35] V. Shamekhi and S. Babakhani, The Future Scenarios of the Virtual Bank in Iran, the Horizon of 2031, Farda Communication Electronic Trade Company, 2019. [36] H. Taherdoost, A review of technology acceptance and adoption models and theories, Proc. Manufactur. 22 (2018), 960–967. [37] V.S. Tchamyou, G. Erreygers, and D. Cassimon, Inequality, ICT and financial access in Africa, Technol. Forecast. Soc. Change 139 (2019), 169–184. [38] M. Tenenhaus, S. Amato, and V.E. Vinzi, A global goodness-of-fit index for PLS structural equation modelling, Proc. XLII SIS Sci. Meet., 2004, no. 2, pp. 739–742. [39] G. Worku, A. Tilahun, and M.A. Tafa, The impact of electronic banking on customers’ satisfaction in Ethiopian banking industry, J. Bus. Financ. Affairs 5 (2016), no. 2. [40] A. Yavaran Bakshayesh and A. Badpa, Investigating factors affecting the acceptance of virtual banking in the country’s banking system, Trend Quart. 23 (2015), no. 73. [41] D. Yuan, Z. Lin, R. Filieri, R. Liu, and M. Zheng, Managing the product-harm crisis in the digital era: The role of consumer online brand community engagement, J. Bus. Res. 115 (2020), 38–47. | ||
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