Presenting a Model of Customer Experience Management in Mobile Banking Industry for Commercial Banks Customers in Dubai

Authors

1 Department of Management, UAE Branch, Islamic Azad University, Dubai, United Arab Emirates

2 Department of Business Management, North Tehran Branch, Islamic Azad University, Tehran, Iran.

3 Department of Educational Management, School of Management, Islamic Azad University, Islamshahr Branch, Tehran, Iran.

10.22094/joie.2021.678825

Abstract

The current research has been conducted to provide a model for customer experience management in the mobile banking industry for customers of commercial banks in Dubai. An explorative mixed methods research (qualitative and quantitative) was used in the research. Data were gathered in both qualitative phase (based on grounded theory) and quantitative phase (based on cross-sectional survey method). In the qualitative phase, population consisted of academic specialists and experts (university professors in the field of management) selected by judgmental sampling method of snowball sampling type. Data were gathered using a semi-structured interview. Data gathering reached theoretical data saturation in the twenty-fifth interview, so interviews were stopped at this point. The results of coding based on grounded theory led to the identification of 170 open codes, 24 axial codes, and 7 selective codes including value, cognitive, motivational, sensory, physical, behavioral, and communicative ones. In the quantitative phase, population consisted of 100,000 users (equal numbers of men and women) of mobile banking services. Given that the community variance was not available, Morgan and Krejcie table were used to determine the sample size that was calculated at 384 individuals. Data analysis in the quantitative phase confirmed the findings of qualitative research according to chi-square (x2), goodness of fit (GFI), adjusted goodness of fit (AGFI), and root mean squared error of approximation (RMSEA) indices.

Keywords


Abbasinejad, H. & Mehrnoosh, M. (2006). Electronic banking (1st edition). Tehran, Iran: Samt Publication.
Andrews, J.G. & et al.,  (2015) What will 5G be? IEEE J. Sel. Areas Commun. 32 (6) (2014) 1065–1082.
Belinda L. Del Gaudio, Claudio Porzio, Gabriele Sampagnaro, Vincenzo Verdoliva, (2020) How do mobile, internet and ICT diffusion affect the banking industry? An empirical analysis, European Management Journal, 2020,In press
Baochun, L. & Hong, X. (2013). Resource allocation with flexible channel cooperation in cognitive radio networks, IEEE Trans. Mob. Comput. 12 (5) (2013) 957–970.
Cisco, (2015). Visual Networking Index.  February 03, white paper at Cisco.com.
Fathian, M., Shafia, M. & Shahrestani, M. (2009).  The impact of research about electronic banking on increasing customer satisfaction in Banks (case study: Bank Melli Iran). The First Conference on the Executive Management, Tehran. 127-135
Farrokhi Ostad, M., Pudineh, M., Sancholi, H. & Keyvani, Sh. (2013). Study the effect of e-banking service quality on customer satisfaction using Kano hybrid model and gap analysis. Conference on Management, Challenges, and Strategies, Shiraz.
Fettweis, G., Krondorf, M.& Bittner, S. (2009). FDM—generalized frequency division multiplexing, in: 69th Vehicular Technology Conference, IEEE, 2009, 1–4.
Gilaninia, SH. & Mousavian, S. (2009). Identifying the factors affecting customer tendency to use e-banking services. Journal of Beyond Management,  6(3),103-133.
Ghaffari, F., Jafari, P. & Amir Madhi, A. (2012). Study the relationship between dimensions of service quality and customer satisfaction in the banking industry: Comparative model of traditional and electronic services. Iranian Journal of Management Sciences, 24, 41-67.
Haotong, C., Yue Hu, Longxiang Yang, (2020).Towards intelligent virtual resource allocation in UAVs-assisted 5G networks, Computer Networks, Inpress.
Hassani, F. (2007). Study the status of electronic banking in Iran, Etemad Melli Journal, 7(1)16-30.
Hosseini Hashemzadeh, d. (2009). Study the factors affecting customer satisfaction in Industrial and Mining Bank. Journal of Business Management, 2 (3) 63-82.
HSBC. (2006). HSBC to offer mobile banking services. Retrieved 10 27, 2007, from HSBC: http://www.computing.co.uk/computing/news/2153768/hsbc-offer-mobile-banking.
Hassanzadeh, A. (2012). Mobile Banking. Information Technology Age, Journal of Business Management,   4(1) 25-38.
Haghighi, M.,  Akbari, M. & Lalian P. (2010). Factors affecting insurer loyalty (case study: Iran Insurance Company). Journal of Insurance Industry, 25(1), 75-95.
ICBC. (2004, 8 22). Mobile Banking (Short Message). Retrieved 12-14, 2007, from ICBC.
 Jacoby, J.W. and Chestnut, R.W. (1978), Brand Loyalty, New York: John Wiley and Sons.
Jia, S. & et al.  (2014). Analyzing and relieving the impact of FCD traffic in LTE-VANET heterogeneous network, in: IEEE Int. Conference on Telecommunications, 88–92.
 Joby,J.(2003). Fundamentals of Customer-Focused Management: Competing Through Service, Westport, Conn. Praeger.                                         
Jafarpour, M., Ghafoor, Fayazi, M. (2010). Study factors affecting the acceptance of mobile banking services in Parsian Bank. International Conference on Electronic Citizen and Mobile Phone, Tehran, September 12 and 13.
Bae, J.S. &  et al. (2018). Architecture and performance evaluation of MmWave based 5G mobile communication system, in: IEEE ICTC,  847–851.
Jafari Taheri, H. (2016). Customer experience management in banks: Choice or obligation. Financial Market Group, Financial Institutions. Banking System Expert, 7 (6) 56-70
Kahzadi, N. (2003). E-banking in Iran and the world. Proceedings of the Trade Conference. Electronic, Iran,Tehran: Bazargani Publishing Company.
Konjkav Monfared, A. & Mirhosseini, M. (2013). Study the factors affecting the acceptance of mobile bank by customers of Bank Saderat Iran branches in Yazd. Journal of Marketing Management, 18 (3) 107-120.
Levanen, T. & et al. (2014). Radio interface design for ultra-low latency millimeterwave communications in 5G era, in: Globecom Workshop - Ultra-Low Latency and Ultra-High Reliability in Wireless Communications, 1420–1426.
Mukherjee, M. & et al. (2015). Reduced out-of-band radiation-based filter optimization for UFMC systems in 5G, in:Wireless Communications and Mobile Computing Conference, IWCMC, 1150–1155.
Pekka Pirinen, A brief overview of 5G  esearch activities, in: IEEE International Conference on 5G for Ubiquitous  onnectivity, 17–22.
Punniyamoorthy, M, & Prasanna M.R, (2007), an empirical model for brand loyalty measurement, Journal of Targeting, Measurement and Analysis for Marketing, 15, (4), 222-233.     
Rössler,B(2005), The Value of Privacy. Cambridge: Polity Press.                                         
Royal Bank. (2007). Mobile Banking. Retrieved 11 19, 2007, from Royal Bank Web site:  http://www.rbs.co.uk/business/banking/g4/mobile.ashx?referrer=hpb                                                    
Royal Bank. (2007). Mobile Banking. Retrieved 11 19, 2007, from Royal Bank Web site: http://www.rbs.co.uk/business/banking/g4/mobile.ashx?referrer=hpb                                                    
Ravand, M . (2010). Identifying and prioritizing the factors of customer resistance in accepting and using banking in Sepah Bank of Iran. First International Conference on Management, Innovation, and Entrepreneurship, Shiraz.
Ranjbarian, B., Rashid Kaboli, M., Sanaye, A. & Hadadian, A. (2012). Analyzing the relationship between perceived value, perceived quality, customer satisfaction, and repurchase intention in Tehran chain stores. Journal of Business Management, 11, 55-70.
Saghtachi, M. & Seyed Javadin, R. (2006). Electronic banking and its history development in Iran, Tadbir Journal, No.170, pp. 30-36.
Schaich, F. , Wild, T. (2015). Waveform contenders for 5G—OFDM vs. FBMC vs. UFMC, in: 6th International Symposium on Communications, Control and Signal Processing, ISCCSP, 457–460.
Seyed Javadin, R. & Yazdani, SH. (2004). Study the factors affecting customer intention to use Internet banking services. Knowledge Management, 70, 45-61.
Salminen A, Ikol-Norrbacka R(2010). Trust, Good Governance Unethical Actions in Finish Public Administration. International Journal of Public Sector Management 2010; 23(7): 647-668.             
Schwaig, K., Segars,A., Grover,V., & Fiedler,K(2013), A model of consumers’ perceptions of the invasion of information privacy, Information & Management,1-12.                     
ScreenTonic. (2007). Crédit Agricole to partner ScreenTonic. Retrieved 12( 8). 27-41
Stanisław Szopiński, T. (2015). Factors affecting the adoption of online banking in Poland. Journal of Business Research, 69(11), 4763-4768.9
Tao, S. (2020) Mining and Utilization of Special Information for Archives Management asedon 5G Network and Internet of Things Microprocessors and Microsystems,  In press.
The Banker. (2007). Top 1000 World Banks. London: The Banker.                                               
The Banker. (2007). Top 1000 World Banks. London: The Banker.                                               
Taghavifard, M., Zahedi Adib, M. & Torabi, M. (2012). Factors affecting the use of Internet banking services by customers (case study: Mellat Bank). Journal of Iranian Research Institute of Information Science and Technology Research, 3, 539-559.
Van der Neut, N. & et al. (2014). PAPR reduction in FBMC systems using a smart gradient-project active constellation extension method, in:21st International Conference on Telecommunications, ICT, 134–139.
Wang, Y-S. Wang, Y-M, Lin H-H, & Tang, T-I. (2003). Determinants of user acceptance of internet banking: An empirical study. [Electronic Version]. International Journal of Service Industry Management, 14(5), 501-520.                                 
Wendy W.N. Wan, Chung-Leung Luk, Cheris W.C. Chow.(2005) «Customers' Adoption Of Banking Channels In Hong Kong», Nternational Journal Of Bank Marketing,  23(3), 255-272.                                                                          
Wunder, G. , Gorgani, S.A. & Ahmed, S.S.(2015) Waveform optimization using trapezoidal pulses for 5G random access with short message support, in: IEEE 16th  InternationalWorkshop on Signal Proc.: Advances inWireless Comm., 76–80.
Zhang, S. & et al. (2014) 5G: towards energy-efficient, low-latency and highreliable communications networks, in: Proceedings of the IEEE ICCS, 197–201.
Zivyar, F., Ziaei, M. & Nargesian, J. (2012). Study factors affecting customer satisfaction using Servqual Model. Journal of Modern Marketing Research, 3, 173-186.