Proposing a banking model in the customer service sector through social networks using the beyond-integrated approach and fuzzy AHP technique

Document Type : Research Paper

Authors

1 Department of Information Technology Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

2 Department of Communication Sciences, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

3 Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

Abstract

The main purpose of this study is to shape, design and present a model that can be used to develop the level of customer service through social networks in the banking system. For this purpose, a large part of the mentioned structures was extracted using the ultracomposite method. Therefore, in the first step, an extensive search was conducted among various sources (including books, book summaries, periodicals, case studies, doctoral dissertations, etc. based on keywords) and more than four hundred sources were collected. Then, by separating the categories, themes and coding, using qualitative data analysis software, the results will be extracted and finally, multiple structures will be extracted to compile the model. In the following, by using "content validity indices and content validity ratio", the validity of the desired measures was measured by the opinions of the experts and then with the limited use of questionnaire items, the reliability of the items that make up the functional structures, as well as the reliability of the questionnaire tool (alpha Cronbach's) calculation and the result was 0.89.

Keywords

[1] R. Abiodun, Development of mathematical models for predicting customers satisfaction in the banking system with a queuing model using regression method, Amer. J. Oper. Manag. Inf. Syst. 2 (2017), no. 2, 86–91.
[2] J.A. Barnes, Class and committees in a Norwegian Island Parrish, Human Rel. 7 (1954), 39–58.
[3] J.C. Bezdek, R. Ehrlich and W. Full, FCM: The fuzzy c-means clustering algorithm, Comput. Geosci. 10 (1984), no. 2–3, 191–203.
[4] H. Chae and E. Ko, Customer social participation in the social networking services and its impact upon the customer equity of global fashion brands, J. Bus. Res. 69 (2016), no. 9, 3804–3812
[5] B. Conlin, 10 tech trends that will influence your marketing strategies, https://www.businessnewsdaily.com/8564-future-of-marketing.html, 2023.
[6] C. Doman, 6 big social media opportunities for financial services (and one gap), https://www.spredfast.com/social-marketing-blog/6-big-social-media-opportunities-financial-services-and-onegap, 2015.
[7] J. Enda and H. Yanru, The importance of social networking in banking marketing, J. Theore. Appl. Inf. Technol. 9 (2014), no. 1.
[8] C. Fisher, What is the difference between a customer vs. a client?, https://smallbusiness.chron.com/differencebetween-customer-vs-client-56387.html, 2019.
[9] C.L. Goi, Factors influence development of E-banking in Malaysia, J. Internet Bank. Commerce 11 (1970), no. 2, 1–21.
[10] A. Kaffashpoor, F. Rahimnia, and F. Fanaei Jizabad, Investigating the impact of social media on customer purchases, 3rd Int. Conf. Media Manag., 2016.
[11] C. Kahraman, U. Cebeci, and Z. Ulukan, Multi-criteria supplier selection using fuzzy AHP, Logistics Inf. Manag. 16 (2003), no. 6, 382–394.
[12] F.M. Masuabi and L.D. Erasmus, Social media service innovation in South African retail banking: A case study, Portland Int. Conf. Manag. Engin. Technol., IEEE, 2016, pp. 1859–1866.
[13] I. Mohkamkar and M. Hallaj Mohammad, Virtual networks, dimensions, features and functions in the field of identity, focusing on virtual social networks, Marifat 201 (2014), no. 6, 63–82.
[14] A. Yee-Loong Chong, K.B. Ooi, B. Lin, and B.I. Tan, Online banking adoption: An empirical analysis, Int. J. Bank Market. 28 (2014), no.4, 267–287.
[15] T.S. Zabkowski, RFM approach for telecom in solvency modeling, Kybernetes 45 (2016), no. 5, 815–827.
Volume 15, Issue 9
September 2024
Pages 165-174
  • Receive Date: 27 February 2023
  • Revise Date: 30 May 2023
  • Accept Date: 03 June 2023