Increase The Total Profit Achievement of Priority Unit by Analyzing Determinants of Total Profit Case Study: PT Bank SMS Balikpapan Branch Office
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Banks, as providers of financial services, according to their function as public fund collectors, have customers with various characteristics of different financial needs. In providing the best service to customers, banks must be able to classify the types of customers or create customer segmentation so that the services offered are right on target in meeting customers' emotional and transactional needs. In the banking business, one form of segmentation is priority service. Certain customer segments are expected to have a significant contribution to achieving bank profits, although there is a possibility that customer segmentation does not contribute positively to profit. Therefore, banks need to evaluate the profit contribution of customer segmentation to ensure that this segment contributes positively to company profits continuously. This study aims to analyze and examine the factors of the customer portfolio that affect the achievement of priority unit performance profits, including ownership of bank products, CASA, total credit usage (outstanding loan), time deposit, and investments. This study collects the portfolio of 721 customers at the PT Bank SMS Balikpapan Branch Office period 2019 to 2022 from PT Bank SMS internal data. This study uses a quantitative approach, panel data regression, with the help of Stata 17 software, to determine the variables that impact achieving profit. The results show that the total ownership of bank products, CASA, credit usage (outstanding loan), and time deposits positively affect the achievement of priority performance profit. Increasing ownership of bank products, CASA, outstanding loan, and time deposit will increase the profitability of priority unit performance. On the contrary, investment has a non-significant relationship to the achievement of profit. Therefore, the priority unit must have a strategy focusing on these four things to achieve profit targets. Priority units are expected to know the needs of customers and be able to provide solutions to customer needs. This study provides practical implications for the company by creating a collaboration program to achieve profit on priority performance. Priority units need assistance from other units related to knowledge of credit products and establishing customer relationships. For further research, the scope of research can be expanded by adding several independent variables such as cost factors, bank product variables detailed in each product, credit facility differentiated by the type of credit (productive or consumptive loan), credit collectability, and reserve value for non-performing loans.
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References
-
Abdel-Razzaq, A. (2018). The Determinants of Islamic Banking Profitability. Thesis. Western Sydney University.
Google Scholar
1
-
Al-Harbi, A. (2019). The determinants of conventional banks profitability in developing and underdeveloped OIC countries. Journal of Economics, Finance and Administrative Science, 24(47), 4-28. DOI 10.1108/JEFAS-05-2018-0043.
Google Scholar
2
-
Al-Sadi, A.S., & Al-Mamouri, A. (2022). The Impact of Asset Management on Achieving Bank Profitability (Applied Study within Al-Khaleej Commercial Bank). Periodicals of Engineering and Natural Sciences 10(5), 5-13.
Google Scholar
3
-
Bikker, J., & Vervliet, T. (2017). Bank Profitability and Risk-Taking under Low Interest Rates. DOI:10.1002/ijfe.1595.
Google Scholar
4
-
Bose, T. K. (2012). Market Segmentations and Customer Focus Strategies and Their Contribution towards Effective Value Chain Management. International Journal of Marketing Studies, 4(3). http://dx.doi.org/10.5539/ijms.v4n3p113.
Google Scholar
5
-
Brannon, D., & Manshad, M. (2022). Personal Saving Orientation is Associated with Higher Likelihood of Paying with Cash Versus Credit: The Role of Financial Power Signaling.
Google Scholar
6
-
Collaku, B., & Aliu, M. (2021). Impact of Non-Performing Loan and Bank’s Profitability: Empirical Evidence from Commercial Banks in Kosovo.
Google Scholar
7
-
Deng, W., Gao, L., Xing, F., Yang, M. (2023). Economic policy uncertainty, bank deposits, and liability structure. Emerging Markets Review, 55(2023), 101024.
Google Scholar
8
-
Farkasdi, S., Septiawan, B., Alghifari, E. S. (2021). Determinants of Commercial Bank Profitability: Evidence from Germany. Jurnal Riset Akuntansi Kontemporer, 13(2), 82-88.
Google Scholar
9
-
Le, T.D., & Ngo, T. (2020). The determinants of bank profitability: A cross-country analysis. Central Bank Review, 20(2020) 65-73.
Google Scholar
10
-
Gitman, L. J., & Zutter, C. J. (2015). Principles of Managerial Finance. (14th edition). Pearson Education Limited.
Google Scholar
11
-
Gujarati, D., Porter, D. (2012). Dasar-dasar Ekonometrika (Edisi 5). Salemba Empat.
Google Scholar
12
-
Grassi, L., Figini, N. & Fedeli, L. (2022). How does a data strategy enable customer value? The case of FinTechs and traditional banks under the open finance framework. Financial Innovation, 8(75). https://doi.org/10.1186/s40854-022-00378-x.
Google Scholar
13
-
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. (2014). Multivariate Data Analysis. 7th ed. United States of America: Pearson Education Limited.
Google Scholar
14
-
Handarini, D. (2014). Pengaruh Manajemen Laba Akrual dan Manajemen Laba Riil terhadap Yield Spread Obligasi. Thesis. Depok: Universitas Indonesia.
Google Scholar
15
-
Hermansson, C., Song, H. (2015). Financial Advisory Services Meetings and Their Impact on Saving Behaviour – A difference-in-difference analysis. Journal of Retailing and Consumer Services, 20, 131-139.
Google Scholar
16
-
Ikatan Bankir Indonesia. (2013). Memahami Bisnis Bank Modul Sertifikasi Tingkat I. Jakarta Pusat: PT Gramedia Pustaka Utama.
Google Scholar
17
-
Jost, P., Ressi, A. (2020). What can I dofor You? Optimal Market Segmentationin Service Markets. DOI:10.1111/poms.13720.
Google Scholar
18
-
Karadzic, V., Dalovic, N. (2020). Profitability Determinants of Big European Banks. Journal of Central Banking Theory and Practice, 2, 39–56. DOI:10.2478/jcbtp-2021-0013.
Google Scholar
19
-
KIIKO, Y. (2022). Analysis and Evaluation by The Internal Audit of The Quality of The Bank’s Customer Portofolio. https://doi.org/10/3846/btp.2022.13833.
Google Scholar
20
-
Kohlscheen, E., Pabón, A. M., Contreras, J. (2018). Determinant of Bank Profitability in Emerging Markets. BIS Working Papers No 686.
Google Scholar
21
-
Kotler, P., Armstrong, G. (2021). Principles of Marketing (18th ed.). Pearson.
Google Scholar
22
-
Kumar, V., Reinartz, W. (2006). Customer Relationship Management: Concept, Strategy, and Tools (3rd ed.). John Wiley & Sons, Inc.
Google Scholar
23
-
Matkovskaya, Y. S., Vechkinzova, E., Biryukov, V. (2022). Banking Ecosystems: Identification Latent Innovation Opportunities Increasing Their Long-Term Competitiveness Based on a Model the Technological Increment. Journal of Open Innovation: Technology, Market, and Complexity, 8(3). https://doi.org/10.3390/joitmc8030143.
Google Scholar
24
-
Miroshnichenko, O., Iakovleva, E., & Voronova, N. (2022). Banking Sector Profitability: Does Household Income Matter? Sustainability, 14(6), 3345. MDPI AG. http://dx.doi.org/10.3390/su14063345.
Google Scholar
25
-
Nainggolan, E.P., & Abdullah, I. (2019). Pengaruh Dana Pihak Ketiga dan Likuiditas Terhadap Profitabilitas Bank Milik Pemerintah tahun 2015 – 2018. Jurnal Riset Akuntansi dan Bisnis, 19(2),151-158.
Google Scholar
26
-
Pena-Garcia, N., Losada-Otalora, M., Juliao-Rossi, J. (2022). What Type of Client do You Need? The Brand Value Co-Creation in The Banking Sector. Front Psychol, 13, 988985. https://doi.org/10.3389/fpsyg.2022.988985.
Google Scholar
27
-
Petria, N., Capraru, B., Ihnatov, I. (2015) Determinants of banks’ profitability: evidence from EU 27 banking systems. Procedia Economics and Finance, 20, 518-524. https://doi.org/10.1016/S2212-5671(15)00104-5.
Google Scholar
28
-
Sivaraks, P. Krairit, D., Tang, J. C. S. (2011). Effects of e-CRM on customer–bank relationship quality and outcomes: The case of Thailand. Journal of High Technology Management Research, 22(2011), 141-157. DOI:10.1016/j.hitech.2011.09.006.
Google Scholar
29
-
Tripathi, S., Bhardwaj, A., E, P. (2018). Approaches to Clustering in Customer Segmentation. International Journal of Engineering & Technology, 7(3.12) 802-807. www.sciencepubco.com/index.php/IJET.
Google Scholar
30
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