"Challenges in Trust and Security by Implementation of E-CRM Among Banks and Financial Institution: a Case Study of E-Banking in Iran”

Total Page:16

File Type:pdf, Size:1020Kb

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. Keywords: E-CRM, Trust, Security, E-Banking, Banks, Financial institutions Relationship, Marketing, Iran 100 "Challenges in Trust and security by implementation of E-CRM … Intruduction Background RM (Relationship Marketing) Relationships are the foundation to the effective development and adaptation of new business philosophy, although businesses have taken care of relationships with their customers for many centuries (Gronross C., 1994) Relationship marketing got popular in 1990s but it has a long history under different names. In its beginning, one-to-one marketing appeared in the mid-1990s, which changed into CRM Customer Relationship Management) as the number one business buzzword at the turn of the millennium (Gronross C., 1994) During the last decade of the 20 th century, relationship marketing has been seen as the mainstream of though in planning a marketing strategy both in industrial marketing and Consumer marketing (Tseng, 2007). According to Morgan and Hunt relationship marketing was defined as all the marketing activities that are designed to establishing, developing, and maintaining successful relational relationship with customers. (Morgan, July 1994) CRM (customer relationship management) With a strengthened focus upon RM, the CRM linkage becomes clear: “CRM provides management with the opportunity to implement relationship marketing on a companywide basis” (Ryals & Knox, 2001, p. 535). At the end of 1999 many practitioners used the term RM to describe customer relationship management (CRM) (Egan, 2001). Customer relationship management (CRM) came into the spotlight when markets were getting more and more competitive. Today the marketing model is changing from product-centered approach to a more customer-centered approach (Gilbert, 2003). The focus of CRM helped financial institutions to understand the customers’ current needs, what they have done in the past, and what they plan to do in the future to meet their own goals (Xu, 2002). The overall goal of CRM is to create the maximum customer lifetime value, by creating trust, customer loyalty and long term relationships. Admittedly CRM has various definitions, for instance Gooding has defined CRM, as “interactive process for achieving the optimum balance between corporate investments and the satisfaction of customer needs to generate the maximum profit. CRM involves: Measuring both inputs across all functions including marketing, sales and service costs and outputs in terms of customer revenue, profit and value, Acquiring and continuously updating knowledge about customer needs, motivation and behavior over the lifetime of the relationship, Applying customer knowledge to continuously improve performance through a process of learning from successes and failures, Integrating the activities of marketing, sales and service to achieve a common goal, The implementation of appropriate systems to IJISM, Special Issue (ECDC 2012) 9-10 May 2012 Dr. A. R. Miremadi / S. Ghalamakri / A. A. Ramezani 101 support customer knowledge acquisition, sharing and the measurement of CRM effectiveness, Constantly flexing the balance between marketing, sales and service inputs against changing customer needs to maximize profits.” (Gooding, 2003) E-CRM (Electronic Customer relationship management) 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. E-CRM is the proverbial double-edged sword, presenting both opportunities and challenges for companies considering its adoption and implementation . E-CRM refers to the set of activities that enable a firm to utilize the power of the Internet and the electronic medium to implement CRM. Banks all around the world have realized the potential of the Internet as a medium for CRM and have been actively pursuing e-CRM strategies. Vital and important key point is that e-CRM takes into different forms, relying on the objectives of the organizations. It is about arranging in a line business process with strategies of customers provided back up of software’s (Rigby, 2002). According to Rosen, e-CRM is about people, process and technology and these are key paramount to success (Rosen, 2001). Traditional definition of e-CRM according to Stanton is to include attitude for entire business. Like identifying and defining the prime goal to everyone in the organization and creating a sustainable competitive advantage. (Stanton, 1994) Organizations want to increase return on investment (ROI), customer loyalty, effective marketing, improved customer service & support and cost reduction, with the successful implementation of e-CRM (Scullin, 2002). An e-CRM system provides financial institutions with the opportunity to establish individual and need oriented customer relationships. E- CRM enables the financial institutions to provide the right financial product at the right time (Sascha, 2003). Literature review According to” Benefits of e-CRM for Banks and their Customers: Case studies of two Swedish banks” Bank customers form expectations derived from many sources Boulding proposed that customers form expectations of what will happen in their next encounters based on what they “deserve”. (Boulding, 1993). Zeithaml & Bitner identify two levels of expectations, desired service and adequate service. Desired service represents the “wished for” level of performance and adequate service reflects showing more basic service expectations.(Zeithaml, 2000). The model permits exploration of the perceived difference between expected service and the experienced service, particularly the zone of tolerance IJISM, Special Issue (ECDC 2012) 9-10 May 2012 102 "Challenges in Trust and security by implementation of E-CRM … developed by Parasuraman ,they’re by customer specific benefits are: Customer interaction and satisfaction, Convenience, Speed of processing the transaction through e-Response, Trust, Service quality.(Parasuraman, 1991) To justify their purpose, two research questions have been considered: How can the benefits of e-CRM for banks are described and how can the benefits of e-CRM for bank customers be described. They used a qualitative research approach Empirical data was collected through in-depth interviews were conducted with two Swedish banks and a group of their customers. Their findings indicate that Swedish banks are well aware of the benefits and applications of the e-CRM and use the system to maintain good relationships with their customers. Moreover, they found out with the implementation of e-CRM and the latest technologies. The Swedish banks seem to have same description about the benefits of e- CRM and have maintained good relationships with customers due to the usage of e-CRM. Furthermore their finding indicates that with the implementation of e-CRM and the latest technologies banks have ensured full security for the transactions of their customer’s. Consequently, E- CRM facilitates the organizations to provide one to one services and also maintain the transaction security of the customers. Benefits of E -CRM Scullin believes that increased customer loyalty, information accumulated by e- CRM system helps organizations to identify the actual input cost of wining and retaining long lasting relationships with customers (Scullin, 2002). The benefits of having an e-CRM solution implementation are many that we classify them into four classifications. General Benefits of E-CRM According to Jelassi and Ender, the aim of E-CRM is to: Create long-term relationship with customers with minimum cost, Reduce the customer defection rate, Increase the profitability from low-profit customers and
Recommended publications
  • Iranian Psps Among Global Acquirers
    !"#$ % & ' ( # Login $ Register Search ... % & SUBSCRIBE TUESDAY October, 08 2019 " NATIONAL ENERGY ECONOMY BUSINESS & MARKETS AUTO Time TRAVEL SCI-TECH ! Business And Markets ! October 07, 2019 19:21 11 Iranian PSPs Among Global Acquirers The 11 acquirers from Iran handled only debit card payments for the domestic market. Credit cards are not issued in Iran and are very rare Today`s Top Stories 11 Iranian PSPs Among Global Acquirers !. ". #. $ '.. leven Iranian payment service provider companies are among the world’s top 150 E acquirers, according to the latest report by Nilson Report Magazine, a journal specializing in $ payment industry news and statistics. SCI Report: Behpardakht Mellat, affiliated to Bank Mellat, ranked Spendin 1 15th on the list with over 4.3 billion transactions in g 2018. The company improved one notch over its 16th Inequali place in 2017. ty With 3.6 billion transactions, Saman Bank’s E-Payment Widens Company ranked 19th in 2018, improving 4 places over Between its position in 2017. Rich and Asan Pardakht Persian ranked 22th, rising 3 places Poor compared with its previous standing at 25 in 2017. Parsian E-Commerce Company, an affiliate of Parsian 11 Iranian PSPs Bank, currently on 27th position rose from 28th in Among Global 2 Acquirers 2018. The payment company processed 2.9 billion transactions in the year. $ Iran's Q2 Iran Kish Credit Card Company handled 1.8 billion Unemploymen 3 t Drops 1.8% to transactions and took 33th spot in the new ranking. The 10.5% company registered a dramatic improvement, up 9 slots from 42 in 2017.
    [Show full text]
  • Biden, Congress Should Defend Terrorism Sanctions Imposed on Iran
    Research memo Biden, Congress Should Defend Terrorism Sanctions Imposed on Iran By Richard Goldberg, Saeed Ghasseminejad, Behnam Ben Taleblu, Matthew Zweig, and Mark Dubowitz January 25, 2021 During a Senate Foreign Relations Committee hearing to consider Antony Blinken’s nomination for secretary of state, Blinken was asked whether he believed it is in America’s national security interest to lift terrorism sanctions currently imposed on Iran, including sanctions targeting Iran’s central bank, national oil company, financial sector, and energy sector. “I do not,” Blinken responded. “And I think there is nothing, as I see it, inconsistent with making sure that we are doing everything possible – including the toughest possible sanctions, to deal with Iranian support for terrorism.”1 Bipartisan support for terrorism sanctions targeting Iran goes back to 1984, when the United States first designated the Islamic Republic as a State Sponsor of Terrorism. Since then, every U.S. president2 – Republican or Democrat – and Congress have taken steps to reaffirm U.S. policy opposing Iran’s sponsorship of terrorism and tying sanctions relief to Iran’s cessation of terror-related activities. President Joe Biden has pledged to rejoin the 2015 Iran nuclear deal, formally known as the Joint Comprehensive Plan of Action (JCPOA), if Iran returns to “strict compliance” with the agreement.3 Terrorism sanctions on Iran, however, should not be lifted, even if the Biden administration opts to return to the deal, unless and until Iran verifiably halts its sponsorship of terrorism. This memorandum provides an overview of Iran’s past and ongoing involvement in terrorism-related activities, a review of longstanding bipartisan congressional support for terrorism sanctions on Iran, and a list of terrorism sanctions currently imposed on Iran that should not be lifted.
    [Show full text]
  • 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]
  • Department of the Treasury
    Vol. 76 Thursday, No. 126 June 30, 2011 Part IV Department of the Treasury Office of Foreign Assets Control 31 CFR Chapter V Alphabetical Listings: Specially Designated Nationals and Blocked Persons; Blocked Vessels; Persons Determined To Be the Government of Iran; Final Rule VerDate Mar<15>2010 18:07 Jun 29, 2011 Jkt 223001 PO 00000 Frm 00001 Fmt 4717 Sfmt 4717 E:\FR\FM\30JNR3.SGM 30JNR3 srobinson on DSK4SPTVN1PROD with RULES3 38534 Federal Register / Vol. 76, No. 126 / Thursday, June 30, 2011 / Rules and Regulations DEPARTMENT OF THE TREASURY Background additions and deletions of names, as The Department of the Treasury’s well as changes in identifying Office of Foreign Assets Control Office of Foreign Assets Control information, it provides more up-to-date (‘‘OFAC’’) maintains a list of blocked information than the list of persons 31 CFR Chapter V persons, blocked vessels, specially previously published on an annual basis designated nationals, specially at Appendix A. Alphabetical Listings: Specially Persons engaging in regulated Designated Nationals and Blocked designated terrorists, specially designated global terrorists, foreign activities are advised to check the Persons; Blocked Vessels; Persons Federal Register and the most recent Determined To Be the Government of terrorist organizations, and specially designated narcotics traffickers whose version of the SDN List posted on Iran OFAC’s Web site for updated property and interests in property are information on blocking, designation, blocked pursuant to the various AGENCY: Office of Foreign Assets identification, and delisting actions economic sanctions programs Control, Treasury. before engaging in transactions that may administered by OFAC. OFAC be prohibited by the economic sanctions ACTION: Final rule.
    [Show full text]
  • Bank Saderat Iran
    Sanction catalogue 170.106.202.226 28.09.2021 02:45:14 BANK SADERAT IRAN See company profile List Type Entity List name SDN (OFAC) Programs (3) IFSR IRAN SDGT Remark all offices worldwide Names (2) Last name/Name BANK SADERAT IRAN Full name/Name BANK SADERAT IRAN Type Name Last name/Name IRAN EXPORT BANK Full name/Name IRAN EXPORT BANK Type Alias Quality Strong Addresses (27) Street 3rd Floor, Aliktisad Bldg, Ras El Ein Street Baalbak City Baalbak Country Lebanon Full address 3rd Floor, Aliktisad Bldg, Ras El Ein Street Baalbak, Baalbak, Lebanon Street PO Box 4308, 25-29 Venizelou St City Athens Country Greece Postal code GR 105 64 Region Attica Full address PO Box 4308, 25-29 Venizelou St, Athens, GR 105 64, Attica, Greece Street 16 rue de la Paix City Paris Country France Postal code 75002 Full address 16 rue de la Paix, Paris, 75002, France Street 3rd Floor, Mteco Centre, Mar Elias, Facing Al Hellow Barrak, POB 5126 City Beirut Country Lebanon Full address 3rd Floor, Mteco Centre, Mar Elias, Facing Al Hellow Barrak, POB 5126, Beirut, Lebanon Street Postfach 160151, Friedenstr 4, D-60311 City Frankfurt am Main Country Germany Full address Postfach 160151, Friedenstr 4, D-60311, Frankfurt am Main, Germany Street PO Box 5126 City Beirut Country Lebanon Full address PO Box 5126, Beirut, Lebanon Street Alghobeiri Branch - Aljawhara Bldg, Ghobeiry Blvd City Beirut Country Lebanon Full address Alghobeiri Branch - Aljawhara Bldg, Ghobeiry Blvd, Beirut, Lebanon Street PO Box 1269 City Muscat Country Oman Postal code 112 Full address PO Box 1269,
    [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]
  • Secondary Sanctions on the Iranian Financial Sector Create De Facto Embargo with Lasting Implications for the Biden Administration
    Secondary Sanctions on the Iranian Financial Sector Create De Facto Embargo with Lasting Implications for the Biden Administration Abigail Eineman IRAN WATCH REPORT John P. Caves III January 2021 1 Introduction During their confirmation hearings last week in the U.S. Senate, President Joe Biden's key national security nominees noted that the new administration was prepared to return to the nuclear accord with Iran, but warned that such a return would not be swift. First, Iran would have to resume compliance with the accord's nuclear restrictions in a verifiable manner, according to Secretary of State designate Antony Blinken, at which point the United States would resume compliance as well. President Biden’s choice for director of national intelligence, Avril Haines, estimated during her confirmation hearing that “we are a long ways from that.”1 Compliance for the United States would mean reversing at least part of the Trump administration's “maximum pressure” campaign—a set of overlapping trade and financial restrictions on almost every part of Iran's economy. The outgoing administration made such a reversal more challenging, particularly as a result of the sanctions imposed on Iran's financial sector in the administration's final months. On October 8, 2020, the United States designated Iran’s financial sector pursuant to Executive Order (E.O.) 13902 and sanctioned eighteen Iranian banks.2 In doing so, the U.S. Treasury Department applied secondary sanctions to Iran's entire financial sector for the first time, potentially barring foreign entities from the U.S. financial system should they do business with Iranian banks.
    [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]
  • Department of the Treasury
    DEPARTMENT OF THE TREASURY Office of Foreign Assets Control 31 CFR Part 560 Iranian Transactions Regulations AGENCY: Office of Foreign Assets Control, Treasury. ACTION: Final rule. ----------------- SUMMARY: The Department of the Treasury’s Office of Foreign Assets Control (“OFAC”) is amending the Iranian Transactions Regulations in the Code of Federal Regulations to expand the scope of Appendix A to Part 560 to encompass any person determined by OFAC to be the Government of Iran, as that term is defined in those regulations. OFAC also is adding to the appendix 22 persons it has determined to be the Government of Iran. In addition, OFAC is updating the current list of entities in appendix A, removing an entity, and consolidating and amending other listings. Finally, OFAC is reformatting and republishing in alphabetical order the entire list of persons in the expanded appendix. DATES: Effective Date: [INSERT DATE OF FILING FOR PUBLIC INSPECTION]. FOR FURTHER INFORMATION CONTACT: Assistant Director for Compliance, Outreach & Implementation, tel.: 202/622–2490, Assistant Director for Licensing, tel.: 202/622-2480, Assistant Director for Policy, tel.: 202/622-4855, Office of Foreign Assets Control, or Chief Counsel (Foreign Assets Control), tel.: 202/622-2410, Office of the General Counsel, Department of the Treasury, Washington, DC 20220 (not toll free numbers). SUPPLEMENTARY INFORMATION: Electronic and Facsimile Availability This document and additional information concerning OFAC are available from OFAC’s Web site (www.treas.gov/ofac). Certain general information pertaining to OFAC’s sanctions programs also is available via facsimile through a 24-hour fax- on-demand service, tel.: 202/622–0077.
    [Show full text]
  • Annual Report-2015
    2 PARSIAN BANK | Financial Highlights 2015 2014 2013 A) Financial figures for the year $('000) Total income 2,730,233.37 2,488,763.88 1,982,475.96 Total incomes of Parsian financial group (consolidated) 7,831,854.61 4,171,085.88 3,639,416.77 Operating profit 34,830.64 244,312.85 322,284.49 Net profit - Profit after tax 34,830.64 191,404.66 284,507.22 B) Financial figures - year end Total assets 19,726,503.18 16,619,899.48 13,199,592.59 Total liabilities 18,733,834.43 15,571,761.70 12,220,424.63 Registered capital 471,529.61 471,529.61 471,529.61 Shareholders' equity 992,668.75 1,048,137.78 979,167.93 C) Return (%) Return on assets (1) 0.19 1.28 2.33 Return on equity (2) 3.41 18.88 30.70 D) Per share figures ($) Number of shares as at the date of AGM (million shares) 15,840 13,200 13,200 Primary earnings per share forecast 0.02 0.02 0.02 Final earnings per share forecast 0.01 0.02 0.02 Earnings per share (IRR) 62 622 603 Dividends per share (IRR) 6 250 400 Final price of share as at confirmation date of reports (3) 0.06 0.13 0.09 Book value per share 0.08 0.08 0.07 P/E 8.8 5.8 4.4 E) Other information Number of employees 4,486 4,477 4,492 1) Return on assets=Net profit to Average assets 2) Return on equity=Net profit to Average assets 3) Approval date of financial statements: June 29, 2015 PARSIAN BANK Shareholders’ Equity$('000) Net Profit$('000) 992,669 34,831 1,048,138 191,404 979,168 284,507 Growth in Recent Years | inRecentYears Growth 3 Total Income$('000) Total Total Assets $(' Total 19,726,503 2,730,233 16,619,899 2,488,764 13,199,593
    [Show full text]