DOCSLIB.ORG

Chapter Vi: Results and Finding

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Chapter Vi: Results and Finding CHAPTER VI: RESULTS AND FINDING: VI Chapter Six: Results, Findings In this chapter, fourth, fifth and sixth oBjectives o f study are analysed, interpreted, and discussed By using DEA method with the efficiency tools. Already, methodology o f analysis has Been discussed in chapter three with detailed scope. Also variaBles that have Been used in this chapter are discussed. In this study, non-parametric Data Envelopment Analysis (DEA) has Been used to examine various Bank specific technical efficiencies. There are numBer o f advantages o f this method are given By economists and Banking analysts. Firstly, the DEA does not require imposition of restrictions of specific functional forms on the production relationship Between inputs and outputs. Secondly, the DEA models simultaneously accommodate multiple inputs and outputs, thereBy serving as a useful tool of efficiency analysis where service sector industries or firms such as banks, financial institutions etc. are involved. DEA techniques have Been also proved to Be particularly suitaBle in working with limited sample sizes (Evanoff and Israilevich, 1991). Following Charnes et al. (1978) and assuming CRS, strong disposaBility o f inputs and outputs and convexity o f the set o f feasible input-output comBinations; the DEA can Be presented w ith a simpler analytical framework where firms or DM Us' are faced with their respective input-output vectors and a measure o f the ratio o f all outputs over inputs is oBtained. Among others, the DEA technique provides particular advantage where firms (e.g. banks and other service sectors firms) are known to produce multiple outputs. Also, under the variaBle returns to scale (VRS) technologies, as assumed in this study, the DEA allows decomposing technical efficiency (TE) into pure technical efficiency (PTE) and scale efficiency (SE). This provides an insight into the sources o f inefficiencies and helps determine whether Banks have Been operating at most productive scale size (MPSS). The estimates o f pure technical and scale efficiencies are also expected to provide opportunity to assess the impact o f the suBstantial changes from consolidation, diversification and rationalization o f the Banking sector, on efficiency o f Islamic Banking Operations. ^ Decision Mal<ing Units 255 In this thesis, Data Envelopment Analysis (DEA) is used due to its aBility to capture multiple outputs and to overcome the proBlems regarding the misspecification of the frontier. Input orientated approach o f D EA under Constant Return to Scale (CRS) and VariaBle Return to Scale (VRS) is used for the Technical Efficiency measurement o f the commercial and specialised banks. In this study, scale efficiency and Return to Scale which commercial and specialised banks operate is also estimated. The input and output oriented measures o f technical efficiency yield the same estimates when CRS technology is applied in DEA models, whereas the estimates are different under VRS technologies. However, the issue of whether to use input or output oriented measures is essentially trivial. Since ‘linear programming does not suffer from such statistical proBlems as simultaneous equation bias, the choice o f an appropriate orientation is not as crucial as it is in the case o f econometric estimation’ (Coelli, 1998: 158). In this study, we adopt an output-oriented approach, which could Be somewhat consistent with the current environment in Islamic Banking industry in Iran where many banks have been competing for providing improved services and Better incentives to their customers. 1. Period of Data and Analysis In this thesis, the period o f data is used from 1995 to 2004, because the some banks data for the year 2005 and onwards are not availaBle, therefore the Windeap 2.1 software cannot generate the efficiency indices results. The earlier plan was to take data for the year 1995 to 2005, But in this chapter as mentioned above analysis restricted till 2004. Ten Banks efficiency indices are calculated, interpreted, and discussed, which covers the Post- Revolution, after the country passed the political instaBility during Revolution( 1975-1980), eight year war with Iraq (1980-1989) and reconstruction (1989- onward) in the Islamic Banking industry in I.R.Iran. This study analysis is Based on originally collected data with detail items. The secondary data from financial statements (balance sheet and profit/loss statement) o f 10 government owned banks, including 4 specialized banks (Keshavarzi bank, San’ at o M a’adan Bank, Maskan bank, and Tosaeh Saderat Bank), and 6 commercial banks (Saderat bank, Sepah Bank, Terjarat bank, M elli Bank o f Iran, Mellat Bank, Refah Bank) which cover more than 85% o f the Banking business in country, are collected, interpreted and discussed. In DEA method, technical efficiency o f commercial banks is calculated under 256 Constant Returns to Scale (CRS) and VariaBle Return to Scale (VRS). For each year, efficiency frontier o f the commercial and specialized banks is estimated By using that year’s output-input variaBles data o f particular banks throughout the research period. While collecting data, more than 90% percent o f Banking system assets in the respective period have Been covered. This period represents reforms policy period along with macroeconomic staBility, after long period of political instaBility, war, and reconstruction in the country. This period can also represent the performance o f Banking sector Based on management efficiency in the more liBeralized economic and marketization policy in economic atmosphere o f the country. When the decision was made to open the markets for national and international competitiveness with oBjective o f strengthening the banks efficiency and soundness to enter the WTO, By privatization policies and open the entry o f private as well as foreign banks to market. Therefore, respective period will cover the feedBack of reforms policy in Banking sector of country. Data Envelopment Analysis Program (DEAP 2.1 Computer Program) developed By Coelli^ (1996) and extended version to run By the windows operating system^ is used to estimate the efficiency of commercial and specialized banks under different specifications. 2. Selection of Input and Output Variables In the respective efficiency specification (Technical Efficiency), efficiency of a commercial bank is defined as its aBility to produce given set of outputs with minimum use of inputs. ‘ReliaBle’ efficiency prediction requires appropriate definitions and certain assumptions regarding the measurement of input, output. The exclusion of certain important Bank inputs and/or outputs might bias the final efficiency measures By distorting construction o f the frontier (the locus of the efficient comBination of inputs and outputs). To determine what constitutes inputs and outputs o f banks, one should first decide on the nature o f Banking technology. In literature on the theory o f Banking, there are two main approaches competing with each other in this regard: the production and the intermediation approaches (Sealey and Lindley, 1977). Like many studies on Banking efficiency (e.g., A ly et al., 1990; Zaim, 1995; ^ DEAP refers to Prof. T. Coelli's programme DEAP.EXE, his help file A Guide to DEAD Version 2.1: A Data Analysis (Computer) Program, CEPA Working Pager 96/08, Department of Econometrics, University of New England and his example files and any other material distributed in DEAP. ^ in the currently file named WINDEAP110.EXE or in the file currently named WINDEAP110.ZIP) is copyrighted by Michel Deslierres. 257 DeYoung and Nolle, 1998; Berger and Mester, 1997; Resti, 1997; DeYoung and Hasan, 1998), we adopt the intermediation approach in this paper. Accordingly, we model commercial banks as multi-product firms, producing 3 outputs and employing 4 inputs. All variaBles except for the input factor o f laBor are measured in millions Rials. In this study, the inputs and outputs have Been defined following the intermediation approach, which is appropriate for measuring the entire Bank level efficiency since it is inclusive o f the variaBle equivalent to interest expense, which often accounts for one-half to two-thirds o f total costs (Berger and Humphry, 1997). Since Islamic Banking is Based on interest-free principles, the variaBles adopted are Based on the Banking system operation whereas four input variaBles and three output variaBles which followed By review o f many studies on Banking efficiency and their variaBle selection.'* The input vector includes: (1) laBour [LABOR], the numBer of full-time employees; (2) physical capital [P H Y C A P IT ] the Book value o f premises and fixed assets; (3) total deposits [T O T A LD E P ], the sum o f demand deposits and term-investment deposits (4) numBer of Branches [BRANCHES] The output vector includes: (1) total loans [loans] including all type o f loans and mode o f financing which outstanding Based on Islamic modes (2) investment securities [IN VSECU R], including investment on government securities and central Bank securities, (3) gross profit [P R O FIT] the Bank profit Before tax reduction. While our definition of Bank inputs and outputs is not free from short-comings, we Believe that it might Be a reasonable challenge to improve the way to present Bank production in I.R.Iran. 3. Results and Discussion Results o f the study are organised for each year. The indices are compared and discussed for each table. The overall mean efficiency index o f Banking system during the respective period are reviewed. In respective specification, technical efficiency o f commercial and specialized banks is estimated under constant returns to scale (CRS). Under constant returns to scale (CRS) specification of DEA, estimated technical efficiency scores of commercial and * The table of input/output variables of bank efficiency studies has been derived and designed in chapter three as methodology of research 258 specialized puBlic Banks for year 1996 on input-orientated DEA model are Briefly reported in taBles 6-1, and 6-2 while the correspondent efficiency score on output-orientated DEA model reported in taBle 6-3.
Load more

Recommended publications
  • The Study and Prioritization of Job Satisfaction Dimensions in Zanjan-Based Refah Bank Employees
    International Journal of Finance & Banking Studies IJFBS Vol.1 No.1, 2012 ISSN: 2147-4486 available online at www.ssbfnet.com The study and prioritization of job satisfaction dimensions in zanjan-based Refah Bank employees Siavash Rashidia*, Hashem Kozechiab, Akbar Heidaryc a,c Islamic Azad University Zanjan Branch ,Iran bTarbait Modares University, Iran Abstract Theories associated with job satisfaction are based on the principle that all environmental elements could shape entire career satisfaction. In literature, major studies illustrate that positive and negative emotions are largely associated with job satisfaction. Job satisfaction source is not only job position but also other factors such as the physical and social work environment, relationships with supervisors and colleagues, group culture and management style of the managers. In this study, it is aimed to evaluate and prioritize the five dimensions of job satisfaction in Zanjan Refah Bank employees: (i) the nature of the job (ii) supervisor, (iii) peer, (iv) promotion and (v) payment. In this study a field research was applied with a survey study. To testify the hypothesis, the Pearson parametric and Friedman test was conducted. The major findings of this study are (i) there is a negative correlation exists between level of education and nature of the job (ii) job promotion and payment, (iii) there is not any significant differences in job satisfaction between men and women. Keywords: Refah Bank, Zanjan, job satisfaction © 2012 Published by SSBF. 1. Introduction Banking industry today is faced with numerous challenges, For example, increased competition, tighter regulations, customers are more intelligent and sensitive to price and discrimination in assessing of banks are challenges that banks face (Hoffmann et al., 2012).
    [Show full text]
  • The Effect of IT on Organizational Structure (Case Study: Refah Bank in Guilan)
    The Effect of IT on Organizational Structure (Case study: Refah bank in Guilan) Received 17 March 2012, Accepted 20 May 2012 Afshin Mirmasoudi Yaghob Farjami Alireza Pourebrahimi M.A of Information Technology Manage- Assistant Prof. Faculty of Engineering, Assistant Prof. of Islamic Azad University, ment, Islamic Azad University, E-Campus University of Ghom, Ghom, Iran E-Campus Refah Bank, Emam Khomeini St., Rasht, Iran P.O.Box: 37161-46611 No. 166, Zafar St., Tehran, Iran +98 911 1343929 +98 912 7472685 +98 21 22221632 [email protected] [email protected] [email protected] ABSTRACT 140 managers and heads of branches and experts of ‘Refah’ Undoubtedly, information technology (IT) has undergone Bank in Guilan. The collected data was subsequently ana- extensive developments in various social and economic lyzed by using software SPSS 18 the propounded hypothe- spheres; its effect on human society is in such a way that sis based on research model were duly analyzed with t-test, the world today is referred as information society. Besides, which confirmed significant relationship in the impact of information technology, attributed as the main agent of IT on organizational structure. The obtained results pin- global change, is to achieve meta- organization purposes. It pointed the importance of IT in easing the complexity and also pertains to appropriate information formulated in the Centralization and reducing bureaucracy (Formalization) strategic policy of a given organization to achieve its ulti- in organizational structure of the ‘Refah’ Bank in Guilan. mate organizational goals. Extensive research from differ- ent aspects is conducted on the impact of IT on organiza- Keywords tional structure over the past three decades.
    [Show full text]
  • Pdf 478.72 K
    Int. J. Nonlinear Anal. Appl. Volume 11, Special Issue, Winter and Spring 2020, 299-309 ISSN: 2008-6822 (electronic) http://dx.doi.org/10.22075/ijnaa.2020.4604 Evaluating the Effectiveness of Data Mining Techniques in Credit Scoring of Bank Customers Using Mathematical Models: A Case Study of Individual Borrowers of Refah Kargaran Bank in Zanjan Province, Iran Abdollah Nazaria∗, Mohammadreza Mehreganb, Reza Tehranib aPhD Student of Industrial Management, Alborz Faculty, University of Tehran, Tehran, Iran. bProfessor, Faculty of Management, University of Tehran, Tehran, Iran. Abstract Loan deferment is a negative consequence of the activities of financial institutions. Increase in the amount of deferred loans can diminish productivity in the banking sector. The purpose of the present research is to cluster bank customers in order to prevent loan deferment and identify and classify customers with varying levels of loan repayment risk. In the proposed method, k-means, two-step, and Kohonen techniques are used for clustering and determining the behavior of each cluster. The results indicate that the k-means model with five clusters has the highest clustering accuracy. Clustering is also used to determine underlying feauture. loan term, loan value, and collateral value are respectively identified as the most influential feauture . Customers are clustered after removing non-significant feautures. Eight different machine learning techniques are usedfor clustering. These techniques are ranked in terms of efficiency based on certain evaluation criteria and using data envelopment analysis. The results indicated that support vector machine (SVM) and artificial neural networks (ANN) are the most efficient of the examined techniques. Keywords: Credit Scoring, Clustering, Data Mining, Data Envelopment Analysis (DEA).
    [Show full text]
  • Iran-Related Designation Updates; Issuance of Iran-Related General License; Publication of Iran-Related Frequently Asked Questions
    Iran-related Designation Updates; Issuance of Iran-related General License; Publication of Iran-related Frequently Asked Questions The following changes have been made to OFAC's SDN List: AMIN INVESTMENT BANK (a.k.a. AMINIB), No. 51 Ghobadiyan Street, Valiasr Street, Tehran 1968917173, Iran; Website http://www.aminib.com [IRAN]. -to- AMIN INVESTMENT BANK (a.k.a. AMINIB; a.k.a. "AMIN 1B"), No. 51 Ghobadiyan Street, Valiasr Street, Tehran 1968917173, Iran; Website http://www.aminib.com; Additional Sanctions Information - Subject to Secondary Sanctions [IRAN] [IRAN-E013902]. BANK KESHAVARZI IRAN (a.k.a. AGRICULTURAL BANK OF IRAN; a.k.a. BANK KESHAVARZI), PO Box 14155-6395, 129 Patrice Lumumba St, Jalal-al-Ahmad Expressway, Tehran 14454, Iran; all offices worldwide [IRAN]. -to- BANK KESHAVARZI IRAN (a.k.a. AGRICULTURAL BANK OF IRAN; a.k.a. BANK KESHAVARZI), PO Box 14155-6395, 129 Patrice Lumumba St, Jalal-al-Ahmad Expressway, Tehran 14454, Iran; Website www.agri- bank.com; alt. Website www.bki.ir; Additional Sanctions Information - Subject to Secondary Sanctions; all offices worldwide [IRAN] [IRAN-E013902]. BANK MASKAN (a.k.a. HOUSING BANK (OF IRAN)), PO Box 11365/5699, No 247 3rd Floor Fedowsi Ave, Cross Sarhang Sakhaei St, Tehran, Iran; all offices worldwide [IRAN]. -to- BANK MASKAN (a.k.a. HOUSING BANK - OF IRAN), PO Box 11365/5699, No 247 3rd Floor Fedowsi Ave, Cross Sarhang Sakhaei St, Tehran, Iran; P.O. Box 11365-3499, Ferdowsi Ave, Cross Sarhang Sakhaie St, Tehran, Iran; Website www.bank-maskan.ir; Additional Sanctions Information - Subject to Secondary Sanctions; all offices worldwide [IRAN] [IRAN-E013902].
    [Show full text]
  • The Study of the Effect of 5C Factors on the Credit Risk of Natural Customer of Refah E Kargaran Bank and Credit Assessment
    European Online Journal of Natural and Social Sciences 2015; www.european-science.com Vol.4, No.1 Special Issue on New Dimensions in Economics, Accounting and Management ISSN 1805-3602 The Study of the Effect of 5C Factors on the Credit Risk of Natural Customer of Refah e Kargaran Bank and Credit assessment Farideh Mohammadi1*, Zadollah Fathi2 1Department of Business Management ,Central Tehran Branch, Islamic Azad University, Tehran, Iran; 2Assistant Professor, Faculty of Management, Central Tehran branch, Islamic Azad University, Tehran, Iran *E-mail: [email protected] Abstract The subject of rating and recognition of banking customer risk is a profound subject that includes the most qualitative indicators to most quantitative cases. Many studies, by determining effective reasons and causes in this domain, have tried to tag well or badly on the customers and be sure of their choice before entering the customer to the bank. This study tries to recognize standards with priority by using three integrated approaches: qualitative based on Decision theory, quantitative based on statistics, and quantitative based on artificial intelligence. This study investigates some banking customers and adjusts its parameters and shows that this integrated approach, which in first step, studies the expected characteristics and recognizes them in a qualitative usage and then uses the artificial intelligence to identify behaviors, has a great value and can perform it with little error percentage. Keywords: Customer Risk, Artificial Intelligence, Multi-Standard Decision, Integrated Approach Introduction Assessment decisions of credit risk are very important for financial institutions because of risks related to inappropriate credit decisions. Credit scoring attracts much attention because the credit industry benefits from money current improvement, credit collections, and reduce the possible risk.
    [Show full text]
  • The EU Council Tightens Iran Sanctions
    Alert Memo BRUSSELS AND LONDON AUGUST 5, 2010 The EU Council Tightens Iran Sanctions On July 26, 2010, the Council of the European Union (the “Council”) adopted a Decision (the “Decision”)1 implementing UN Security Council Resolution 19292 and imposing accompanying measures, with a view to providing a robust and comprehensive package of trade and financial sanctions against Iran. The Council also adopted Council Implementing Regulation 668/2010 (the “Implementing Regulation”),3 adding 74 persons and entities to the list of persons and entities subject to Council Regulation 423/2007 (the “2007 Regulation”),4 which imposed sanctions on specified persons and entities identified as being engaged in or associated with Iran’s proliferation-sensitive nuclear activities or development of nuclear weapons delivery systems, as well as entities acting on behalf of or controlled by such a person or entity. The new measures are effective from July 27, 2010. To become enforceable against natural and legal persons, however, the Decision must be supplemented by implementing measures. By contrast, the Implementing Regulation is binding immediately, but it implements the Decision only in part. Among other things, the new restrictions target: • The financial sector, imposing new restrictions on banking and insurance activities; and • The oil and gas industry, prohibiting new investment, technical assistance and transfers of technologies, equipment and services. The new measures build on existing EU trade sanctions in relation to Iran, which prohibit or restrict the export to and import from Iran of certain technologies relating to nuclear weapons and missiles, where they appear as controlled items in the 2007 Regulation or are dual-use items as listed in Regulation (EC) 429/2009, and freeze the funds and economic entities of specified persons and entities.
    [Show full text]
  • Billing Code 4810-Al Department
    This document is scheduled to be published in the Federal Register on 10/14/2020 and available online at federalregister.gov/d/2020-22723, and on govinfo.gov BILLING CODE 4810-AL DEPARTMENT OF THE TREASURY Office of Foreign Assets Control Notice of OFAC Sanctions Actions AGENCY: Office of Foreign Assets Control, Treasury. ACTION: Notice. SUMMARY: The U.S. Department of the Treasury’s Office of Foreign Assets Control (OFAC) is publishing the names of one or more persons that have been placed on OFAC’s list of Specially Designated Nationals and Blocked Persons (SDN List) based on OFAC’s determination that one or more applicable legal criteria were satisfied. All property and interests in property subject to U.S. jurisdiction of these persons are blocked, and U.S. persons are generally prohibited from engaging in transactions with them. DATES: See Supplementary Information section for applicable date(s). FOR FURTHER INFORMATION CONTACT: OFAC: Associate Director for Global Targeting, tel.: 202-622-2420; Assistant Director for Sanctions Compliance & Evaluation, tel.: 202-622-2490; or Assistant Director for Licensing, tel.: 202-622-2480. SUPPLEMENTARY INFORMATION: Electronic Availability The SDN List and additional information concerning OFAC sanctions programs are available on OFAC’s Web site (www.treas.gov/ofac). Notice of OFAC Actions On October 8, 2020, OFAC determined that the property and interests in property subject to U.S. jurisdiction of the following persons are blocked under the relevant sanctions authorities listed below. Entities 1. AMIN INVESTMENT BANK (a.k.a. AMINIB; a.k.a. “AMIN IB”), No. 51 Ghobadiyan Street, Valiasr Street, Tehran 1968917173, Iran; Website http://www.aminib.com; Additional Sanctions Information - Subject to Secondary Sanctions [IRAN] [IRAN-EO13902].
    [Show full text]
  • The Effect of Organizational Neuroticism on Job Attachment of Refah Bank’S Employees (Case Study: Refah Bank’S Employees of the South of West Azerbaijan Province)
    Volume 2 Issue 3 INTERNATIONAL JOURNAL OF HUMANITIES AND December 2015 CULTURAL STUDIES ISSN 2356-5926 The Effect of Organizational Neuroticism on Job Attachment of Refah Bank’s Employees (Case Study: Refah Bank’s Employees of the South of West Azerbaijan Province) Saleh Yasamani Department of Public Administration, Mahabad Branch, Islamic Azad University, Mahabad, Iran Mehdi Imani* Department of Public Administration, Mahabad Branch, Islamic Azad University, Mahabad, Iran Abstract The aim of this study is to evaluate the effect of organizational neuroticism on job attachment of branches in the Refah bank of the southern west of Azerbaijan province. The population of staff welfare bank branches was 170 people. The research methodology applied is descriptive- correlation. Also, a standard questionnaire was used to collect data. Validity, approved by supervisors and a number of professors of management and reliability, was confirmed by Cronbach's alpha. To analyze the data, the Kolmogorov-Smirnov test and linear regression were used. The results showed that 95% level of organizational neuroticism (anxious, depressed, dramatic, obsessive, paranoid and schizoid) is positive. The branches of Refah bank have significant effect on job involvement. Keywords: Neurotic Organization, Job Involvement, Bank. http://www.ijhcs.com/index.php/ijhcs/index Page 866 Volume 2 Issue 3 INTERNATIONAL JOURNAL OF HUMANITIES AND December 2015 CULTURAL STUDIES ISSN 2356-5926 Introduction Evidence of organizational studies shows that as humans can experience mental health disorders, the risk of these diseases. Organizations with mental disorders and neurotic conditions return many contradictions and conflicts (Fasl, 1990), which represents a serious threat to organizational health and effectiveness of managers over time for burnout, sabotage and organizational problems (Abdullahi, 2009).
    [Show full text]
  • Discussing the Influence of Pos Devices on Attraction
    Indian Journal of Fundamental and Applied Life Sciences ISSN: 2231– 6345 (Online) An Open Access, Online International Journal Available at www.cibtech.org/sp.ed/jls/2015/01/jls.htm 2015 Vol.5 (S1), pp. 5586-5591/Hashemi and Tavrah Research Article DISCUSSING THE INFLUENCE OF POS DEVICES ON ATTRACTION OF REFAH BANK'S RESOURCES FOR INCREASING THE SHARE FROM THE COMPETITIVE MARKET BETWEEN BANKS Ebrahim Hashemi1 and Naser Tavrah2* 1Department of Public Administration, Mahabad Branch, Islamic Azad University, Mahabad, Iran 2Department of Public Administration, Payame Noor University (PNU), P.O. Box, 19395-3697, Tehran, Iran *Author for Correspondence ABSTRACT The purpose of the present research is to investigate the influence of POS devices on attraction of Refah bank's resources for increasing the share from the competitive market between banks in Refah bank branches of West Azerbaijan province. The research is of survey and comparative type. The population includes every store which uses Refah bank's POS device which was announced as13405 individuals by the central branch of Refah bank. Through the Cochran's formula, the sample size was calculated as 374 individuals based on a simple random sampling method. Data collection was undertaken through researcher made questionnaires with reliability of 0.882. Also for the purpose of data analysis via SPSS software relative to measurement at descriptive level the descriptive statistics were used and in terms of explanatory level, the one sample t-test was performed. Test results of the main hypothesis indicates that ease of use and facilitation of accessing Refah bank's POS devices are important elements of banking resources tooling.
    [Show full text]
  • Evaluating the Efficiency and Productivity of Private And
    Indian Journal of Fundamental and Applied Life Sciences ISSN: 2231– 6345 (Online) An Open Access, Online International Journal Available at www.cibtech.org/sp.ed/jls/2015/03/jls.htm 2015 Vol. 5 (S3), pp. 2171-2187/Ardekani and Yazdi Research Article EVALUATING THE EFFICIENCY AND PRODUCTIVITY OF PRIVATE AND STATE BANKS OF IRAN USING A COMBINATION OF DATA ENVELOPMENT ANALYSIS AND MALMQUIST INDEX OF PRODUCTIVITY Ali Sarafraz Ardekani1 and *Ali Fazel Yazdi2 1Department of Accounting, Payame Noor University, PO BOX 19395-3697 Tehran, I.R of Iran 2Young Researchers and Elite Club, Yazd Branch, Islamic Azad University, Yazd, Iran *Author for Correspondence ABSTRACT In this world, improving efficiency and productivity has become a competitive necessity. The present study seeks to examine the efficiency and productivity of private and state banks of Iran using a combination of data envelopment analysis and Malmquist index of productivity. The number of issued cards, the total number of domestic and foreign branches and total assets are considered as the inputs; the outputs include net profit and loss, balance of granted loans and claims and total deposits of 19 private and state banks of Iran over the years from 2007 to 2011. The results of efficiency analysis reveal that Sina Bank, Pasargad Bank, Karafarin Bank, Parsian Bank and Bank of Industry and Mine have the best operations over the years. Furthermore, productivity analysis showed that the average productivity rate for most banks is negative excluding Melli Bank, Mellat Bank, Bank of Industry and Mine, Export Development Bank of Iran, Eghtesad-e-Novin Bank and Pasargad Bank.
    [Show full text]
  • BIC Statement CORRESPONDENT BANK's NAME ALL BR. COUNTRY
    BIC Statement CORRESPONDENT BANK'S NAME ALL BR. COUNTRY 1 AFABAFKA ARIAN BANK,KABUL 2005/11/30 AFGHANISTAN 2 BKMTAM22 EUR BANK MELLAT CJSC YEREVAN, YEREVAN ARMENIA 3 OBKLAT2L OBERBANK AG, LINZ AUSTRIA 4 GIBAATWW ERSTE BANK DER OESTERREICHISCHEN SPARKASSEN AG, VIENNA AUSTRIA 5 SCHOATWW SCHOELLERBANK AG,VIENNA 2005/05/05 AUSTRIA 6 BKAUATWW EUR UNICREDIT BANK AUSTRIA AG, VIENNA(Bank Austria) 2009/02/17 AUSTRIA 7 CAPNAZ22 AZERBAIJAN INDUSTRY BANK JSC, BAKU 2007/10/02 AZERBAIJAN 8 MELIAZ22 BANK MELLI IRAN, BAKU BRANCH, BAKU 2005/04/20 AZERBAIJAN 9 ABCOBHBM ARAB BANKING CORPORATION (B.S.C.), MANAMA BAHRAIN 10 BMEABHBM BAHRAIN MIDDLE EAST BANK B.S.C.,MANAMA 2010/07/14 BAHRAIN 11 FUBBBHBM EUR,AED FUTURE BANK (B.S.C.) C , MANAMA 2005/12/04 BAHRAIN 12 GULFBHBM GULF INTERNATIONAL BANK, MANAMA BAHRAIN 13 SCBLBDDX STANDARD CHARTERED BANK, DHAKA BANGLADESH 14 SBINBDDH STATE BANK OF INDIA, DHAKA 2006/07/10 BANGLADESH 15 BCBLBDDH BANGLADESH COMMERCE BANK BANGLADESH 16 AKBBBY2X BELARUSBANK , MINSK 2009/02/17 BELARUS 17 BELBBY2X BELVNESHECONOMBANK OJSC , MINSK 2005/05/05 BELARUS 18 HNRBBY2X HONOR BANK,MINSK 2010/07/14 BELARUS 19 BPSBBY2X JSC BPS-BANK (FORMERLY BELPROMSTROIBANK), MINSK 2007/10/02 BELARUS 20 BBTKBY2X TC BANK , MINSK 2009/09/29 BELARUS 21 FBHLBE22 CREDIT EUROPE BANK N.V. ANTWERP BRANCH , ANTWERPEN 2008/02/07 BELGIUM 22 BYBBBEBB BYBLOS BANK EUROPE S.A., BRUSSELS BELGIUM (ALL BR.IN 23 GEBABEBB FORTIS BANK S.A./N.V. BRUSSELS, BRUSSELS BELGIUM) BELGIUM (ALL WORLD 24 KREDBEBB KBC BANK NV , BRUSSELS BR.) BELGIUM 25 DEUTBRSP DEUTSCHE BANK S.A.
    [Show full text]
  • "Challenges in Trust and Security by Implementation of E-CRM Among Banks and Financial Institution: a Case Study of E-Banking in Iran”
    International Journal of Information Science and Management "Challenges in Trust and Security by Implementation of E-CRM Among Banks and Financial Institution: A Case Study of E-Banking in Iran” Dr. A. R. Miremadi S. Ghalamakri Assistant Professor& MBA Director MBA from Sharif University of Technology at Sharif University of Technology Member of ITM Research Group International Campus email: [email protected] email: [email protected] A. A. Ramezani MBA & Branch Manager from Sharif University of Technology Branch manager at Saman Bank. email: [email protected] Abstract The advancement in technology, information and communication has forced banks and financial institutions into hard competition. In this new era technology, people and customer are the elements which the banks are concentrating on them to manage customer relationship and success of banking in customer satisfaction. Electronic customer relationship management (e-CRM) is seen to arise from the consolidation of traditional CRM with the e-business applications marketplace and has created a flurry of activity among companies. The purpose of this study is to examine the competitive advantages on e-CRM in financial institutions and banks and obtain better understanding of the e-CRM benefits. A qualitative research approach was used for this study. Empirical data was collected through interviews were conducted with twenty six banks which just sixteen of them are participated. Our findings indicate Accessibility, Convenience, Services quality, Timeliness, and Trust are the most important benefits of E-CRM. We found that implementation of E-CRM bring about the following competitive advantages: Up to date of banks, Preparation of up to date technology, Proliferation of channels, Marketing and Strategic Factors and Fragmentation of customer segment.
    [Show full text]