scholarly journals Fuzzy performance Evaluation in Romanian Banking Industry.

2018 ◽  
Keyword(s):  
Performance Evaluation ◽  
Banking Industry

A hybrid MCDM approach for performance evaluation in the banking industry

Kybernetes ◽  
2017 ◽  
Vol 46 (8) ◽  
pp. 1386-1407 ◽  
Author(s):  
Mohammad Ali Beheshtinia ◽  
Sedighe Omidi
Keyword(s):  
Performance Evaluation ◽  
Balanced Scorecard ◽  
Banking Industry ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Environmental Care ◽  
Hybrid Approaches ◽  
Copeland Method

Purpose This paper aims to propose a hybrid multiple criteria decision-making (MCDM) technique for performance evaluation of banks in which the banks are assessed and ranked according to the criteria of the balanced scorecard (BSC) methodology and corporate social responsibility (CSR) views. Design/methodology/approach To clarify the performance of the proposed model, the MCDM technique was implemented in four banks in Iran as a pilot. First, proper criteria for banking industry are identified considering BSC and CSR. Consequently, analytic hierarchy process (AHP) and modified digital logic (MDL) techniques are used to determine the weights of criteria. The banks are ranked by fuzzy TOPSIS (FTOPSIS) and fuzzy VIKOR (FVIKOR). Using a combination of these techniques, four methods, namely, AHP-FTOPSIS, AHP-FVIKOR, MDL-FTOPSIS and MDL-FVIKOR, are obtained, each of which provides a different set of rankings for banks. Eventually, the obtained ranks are integrated using the Copeland method. Findings The results showed that the return on investment, debt ratio and lower energy consumption criteria are the most important, and enhancement of brand value, increasing customer loyalty and environmental care criteria have the lowest percentage of importance. Also, the final bank ranking is determined by the proposed method. Originality/value This paper identifies 6 criteria and 25 sub-criteria for evaluating the banks considering BSC and CSR viewpoints including some new sub-criteria that has not been considered before. Moreover, these hybrid approaches and especially MDL techniques have not been used by previous researchers.

scholarly journals Determinants of economic value added (EVA) in Chinese listed banks

2019 ◽  
Vol 27 (4) ◽  
pp. 595-613
Author(s):  
Jie Zhang ◽  
Ahmed Aboud
Keyword(s):  
Performance Evaluation ◽  
Banking Industry ◽  
Evaluation Model ◽  
Value Added ◽  
Measurement Tool ◽  
Content Type ◽  
Performance Evaluation Model ◽  
Chinese Banking Industry ◽  
The Impact ◽  
Chinese Banking

Purpose The purpose of this paper is to examine the determinants of the EVA performance evaluation model for the Chinese banking industry. The authors investigate the impact of six bank-specific factors and corporate governance factors on financial performance. Design/methodology/approach The authors use the ordinary least square regression to examine the determinants of the EVA performance evaluation model for the Chinese banking industry. The findings are generally robust to alternative proxies of performance. Findings The empirical results indicate that credit risk, operational efficiency and the degree of innovation are positively related to banks’ EVA while capital management has a negative impact on it. In addition, although board size and independent directors are not related to the bank’s EVA, from the perspective of the traditional performance evaluation indicators, executive compensation has a positive impact on the bank’s profitability. Research limitations/implications This paper has some limitations. First, due to the large number of adjustments to accounting items are required in the application of EVA when evaluating business performance, some items of the EVA model in this paper have been simplified, which may cause the bank’s EVA value to deviate slightly from the actual situation. Moreover, the sample includes only listed banks, so our results cannot generalize to non-listed banks, such as some small- and medium-sized commercial banks. Originality/value This paper contributes to the limited body of literature concerning the use and the determinants of EVA in emerging markets. The authors construct an EVA model which is suitable for China’s banks and reports comprehensive evidence on the drivers of EVA as a measurement tool.

scholarly journals Performance Evaluation and Application of Banking Industry Based on Equator Principles

2020 ◽  
Vol 214 ◽  
pp. 02055
Author(s):  
Yutong Tang ◽  
Yan Zhou
Keyword(s):  
Performance Evaluation ◽  
Social Responsibility ◽  
Evaluation System ◽  
Banking Industry ◽  
Performance Evaluation System ◽  
Evaluation Systems ◽  
Equator Principles ◽  
Set Up ◽  
Corporate Social ◽  
Bank Performance Evaluation

With the deterioration of the global natural and social environment, people have begun to pay attention to the fulfillment of corporate social responsibility, and banks as special financial institutions are no exception. In 2003, the emergence of the Equator Principle became the basic criterion for the banking industry to fulfill its social responsibility. Under such a social trend, China’s banking industry proposed a “green credit” policy in 2007, but it is still far from the equatorial principles introduced internationally. Therefore, how to accelerate the pace of China’s banking industry entering the Equator Bank is a question worth considering. We need to set up a bank performance evaluation system based on the equator principle to promote the development of the equator principle in China’s banking industry, which is also the focus of this article. In this paper, through the study of the practice of the Equator Principles at home and abroad, a set of performance evaluation systems for the banking industry based on the Equator Principles is established. The Industrial Bank is used as an example to apply this evaluation system.

scholarly journals Performance Evaluation of Iranian Banking Industry through CAMELS Framework

2017 ◽  
Vol 06 (02) ◽  
Author(s):  
Mohammad Khodaei Weleh Zagherd ◽  
Mehrdad Barghi
Keyword(s):  
Performance Evaluation ◽  
Banking Industry

Understanding and Assessing the Implications of Co-Creation in the Banking Industry

2019 ◽  
Vol 69 (3) ◽  
pp. 179-203
Author(s):  
Anna Feldmann ◽  
Frank Teuteberg
Keyword(s):  
Performance Evaluation ◽  
Banking Industry ◽  
Current Knowledge ◽  
Business Environment ◽  
Knowledge Gap ◽  
And Performance ◽  
Business To Business

AbstractIn the B2B (business-to-business) environment, increasing digitalisation and new technological possibilities also entail substantial changes for working methods in banking. In this context, the concept of co-creation and collaboration in teams comes to the fore. Many studies currently exist on teamwork, but none is directly related to co-creation activities. The present study aims to bridge the current knowledge gap by investigating teamwork in co-creation projects. By using of a case study and a quantitative questionnaire, the study makes two contributions: a) It uses the example of the GENOhackathon format to demonstrate how co-creation is already being used in the B2B environment, and b) it sheds light on perceived team reflexivity, and performance evaluation.

scholarly journals Performance Evaluation for Competency of Bank Telemarketing Prediction using Data Mining Techniques

2019 ◽  
Vol 8 (2) ◽  
pp. 5766-5774
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Performance Evaluation ◽  
Banking Industry ◽  
Decision Making Process ◽  
Helpful Tool ◽  
Data Mining Approach ◽  
Mining Methods ◽  
Using Data ◽  
Sensitivity Specificity

In today's market there is cut throat competition in the banks and struggling hard to gain competitive advantage over each other. The banking industry has undergone tremendous changes in the way business conducted. They realizes the needs and techniques of data mining which is helpful tool to gather, store, capture data and convert into knowledge. The application of data mining enhances the performance of telemarketing process in banking industry. It also provide an insight how these techniques effectively used in banking industry to make the decision making process easier and productive. This work describes a data mining approach to extract valuable knowledge and information from a bank telemarketing campaign data. At this time, the potential of five data mining methods was explored for forecasting of term deposit subscription. The presentation of these techniques was evaluated on fourteen different classifier parameters. The overall better performance achieved by J48 decision tree which reported 91.2% correctly classified with sensitivity, specificity and lowest error rate of 53.8, 95.9 and 8.8 % respectively

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