پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 610 |
| تعداد مقالات | 9,027 |
| تعداد مشاهده مقاله | 67,082,804 |
| تعداد دریافت فایل اصل مقاله | 7,656,333 |
Prioritizing the key factors for performance evaluation of Iran's banking system based on the balanced scorecard (BSC) approach and the fuzzy analytic network process (FANP) | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 13، دوره 15، شماره 1، فروردین 2024، صفحه 151-160 اصل مقاله (1.42 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.28322.3870 | ||
| نویسندگان | ||
| Kourosh Farahbakhsh1؛ Sina Kheradyar* 1؛ Kambiz Shahroodi2؛ Farzin Farahbod3 | ||
| 1Department of Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran | ||
| 2Department of Commercial, Rasht Branch, Islamic Azad University, Rasht, Iran | ||
| 3Department of Governmental Management, Rasht Branch, Islamic Azad University, Rasht, Iran | ||
| تاریخ دریافت: 18 اردیبهشت 1401، تاریخ بازنگری: 20 شهریور 1401، تاریخ پذیرش: 30 شهریور 1401 | ||
| چکیده | ||
| This paper determines the weights of the key factors for evaluating the performance of the banking system in Iran using the Balanced Scorecard (BSC) and Fuzzy Analytic Network Process (FANP) approaches. This paper first identifies key factors for the performance evaluation and then determines the cause-and-effect relationship between using the DEMATEL approach. The key factors were included in the BSC framework using the experts' opinions and following principles, including the need for all communication to lead to profitability, not considering the causal relationship from more tangible dimensions to intangible dimensions, and eliminating feedback causal relationships. The calculated weights show the maximum importance of the learning and growth dimensions and the minimum importance of the financial dimension. Among the key factors, on-time service is the maximum important, with customer retention being the minimum important. The extracted key factors can evaluate the performance of the country's banking system descriptively and based on the data obtained from declarations or official reports provided by different evaluators. | ||
| کلیدواژه‌ها | ||
| Performance Evaluation؛ Key Factors؛ Banking System؛ Balanced Scorecard (BSC)؛ Fuzzy Analytic Network Process (FANP) | ||
| مراجع | ||
|
[1] A.I. Al-Alawi, Using balanced scorecard in measuring the performance of online banking: Cultivating strategic model map in financial sector-case of Bahrain, J. Internet Bank. Commerce 23 (2018), no. 2. [2] R.Z. Al-Gamazia and T.A. Kaddumi, Balanced Score Card implementation and its effect on banks’ financial performance, Int. J. Innov. Creat. Change 13 (2020), no. 10. [3] H.H. Al-Mawali, Y. Zainuddin and N.N. Kader Ali, Balanced Score Card (BSC) usage and financial performance of branches in Jordanian banking industry, Int. J. Soc. Behav. Educat. Econ. Bus. Industr. Eng. 4 (2010), no. 6. [4] N. Alipour, M.S. Sangari and S. Nazari-Shirkouhi, Investigating green human resource practices in the healthcare sector: A joint application of balanced scorecard and SIR method, Proc. 15th Iran Int. Ind. Engin. Conf. (IIIEC), Yazd, Iran, 2019, pp. 283–288. [5] A. Atafar, M. Ameri Shahrabi and M.J. Esfahani, Evaluation of university performance using BSC and ANP, Decis. Sci. Lett. 2 (2013), 305–311. [6] D.Y. Chang, Application of the extent analysis method on fuzzy AHP, Eur. J. Oper. Res. 95 (1996), 649–655. [7] J.-T. Chiang, C.-C. Chiou, S.-C. Doong and I.-F. Chang, Research on the construction of performance indicators for the marketing alliance of catering industry and credit card issuing banks by using the balanced scorecard and fuzzy AHP, Sustainability 12 (2020), no. 21, 9005. [8] P. Durana, P. Kral, V. Stehel, G. Lazariou and W. Sroka, Quality culture of manufacturing enterprises: A possible way to adaption to Industry 4.0, Soc. Sci. 8 (2019), no. 4, 124. [9] A. Gautreau and B.H. Kleiner, Recent trends in performance measurement systems–the balanced scorecard approach, Manag. Res. News 24 (2001), no. 3/4, 153–156. [10] A.K. Gupta, M. Maheshwari and S. Sharma, A comparative study on performance measurement of HDFC bank and SBI using balanced scorecard, Pacific Bus. Rev. Int. 11 (2019), no. 8, 15–32. [11] G. Hwang, J.-H. Han and T.-W. Chang, An integrated key performance measurement for manufacturing operations management, Sustainability 12 (2020), no. 13, 5260. [12] R.S. Kaplan and D.P. Norton, The balanced scorecard: Measures that drive performance, Harv. Bus. Rev. 1 (1992), no. 70, 172. [13] R.S. Kaplan and D.P. Norton, The balanced scorecard: Translating strategy into action, Harv. Bus. School Press, Cambridge, MA, 1996. [14] R.S. Kaplan and D.P. Norton, Transforming the balanced scorecard from performance measurement to strategic management: Part I, Amer. Account. Assoc. 15 (2001), no. 1, 87–104. [15] I. Kefe, The determination of performance measures by using a balanced scorecard framework, Found. Manage. 11 (2019), no.1, 43–56. [16] C.H. Lawshe, A quantitative approach to content validity, Person. Psycho. 28 (1975), no. 4, 563–575. [17] A. Monavvarian, M.R. Fathi, M.K. Zarchi and A. Faghih, Combining ANP with TOPSIS in selecting knowledge management strategies (Case study: Pars Tire company), Eur. J. Sci. Res. 54 (2011), no. 4, 538–546. [18] I.M. Okwo and I.M. Marire, Performance measurement in business organisations: An empirical analysis of the financial performance of some breweries in Nigeria research, J. Finance Account. 3 (2012), no. 1, 48–57. [19] S. Panicker and V. Seshadri, Devising a balanced scorecard to determine standard chartered bank’s performance: A case study, Int. J. Bus. Res. Dev. 2 (2013), no. 2, 35–42. [20] M. Rostami, Determination of Camels model on bank’s performance, Int. J. Multidiscip. Res. Dev. 2 (2015), no. 10, 664–652. [21] C.F. Waltz and R.B. Bausell, Nursing research: Design, statistics, and computer analysis, Davis Fa, 1981. [22] Y. Zhang and L. Li, Study on balanced scorecard of commercial bank in performance management system, Proc. 2009 Int. Symp. Web Inf. Syst. Appl. (WISA, 09), China, 2009, pp. 206–209. [23] P. Zhou, P. Zhou, S. Yuksel, H. Dincer and G.S. Uluer, Balanced scorecard-based evaluation of sustainable energy investment projects with IT2 fuzzy hybrid decision making approach, Energies MDPI 13 (2019), no. 1, 1–20. | ||
|
آمار تعداد مشاهده مقاله: 25,907 تعداد دریافت فایل اصل مقاله: 458 |
||