E-BUSINESS AND BANKING ORGANIZATIONS ABSTRACT This paper focuses on the significance of e-business for the banking organizations. Electronic business methods enable companies to link their internal and external data processing systems more efficiently and flexibly, to work more closely with customers to better satisfy the needs and expectations of their customers. E-business involves business processes spanning the entire value chain: electronic transaction of bank with its customers, processing request electronically, handling customer service, and cooperating with business partners. E-business can be conducted using the Web, the Internet, intranets, extranets, or some combination of these. A core component of successful ebusiness practice is assessing and redesigning how an organization provides value to its customers. Keywords: Intranet, Extranet, Data Processing System, Business process INTRODUCTION E business is the use of internet technologies to internet work and empower business processes electronic commerce and enterprise communication and collaboration within a company and with its customers, suppliers and business Stakeholders. Information technology helps various banks to design and structure the organization to increase the efficiency and quality through automated production processes to create tieups and partnership with support service providers to collect information, to adopt group decision support systems for workers, to eliminate physical documents for routine transactions. The benefits of e-business for banks is in increasing revenue, reducing cost, improving profit, improving quality, creating new opportunities and improving the overall structure of organization. Special technical standards for e-business facilitate the exchange of data between various banks. E-business software solutions allow the integration of intra and inter banks business processes. E-business success depends on how well bank executives make such decisions while crafting an e-business path. When crafting its e-business direction, management must pay careful attention to three interlocking layers: e-business design, e-business application infrastructure and e-business info structure E-business Design E-business Infrastructure CRM ERP Value Proposition Customer Segments Customer Priorities Organizational Capabilities E-Procurement Financial Control EAI Selling Chain Scalability Reliability Hosting Storage Security E-business Info structure Business Intelligence Supply Chain Management Web Servers Databases Middleware App Servers ASP The following tool devised by Professor Don Marchard shows different ways in which information can create value for the organization. C Cuussttoom meerr aanndd m maarrkkeett vvaalluuee M Maannaaggee rriisskkss R Reedduuccee ccoossttss C Crreeaattee nneew w rreeaalliittyy,, nneew w pprroodduuccttss,, nneew w sseerrvviicceess,, nneew w bbuussiinneesssseess The application of e-business for betterment of banking transaction is the basis of winning a competitive edge over others for any banking organization. LITERATURE REVIEW E business creates value. chaffey &wood (2004) have emphasized much of organization value created by e-business. The number of internet users is increasing which also signifies that online purchasing is increasing. (Joines, scherer & scheufele). The rapid increase is explained by the growth in the use of broadband technology combined with change in consumer behavior (Oppenheim & Ward, 2006). Evolution of e-commerce has been identified by Smith &Rupp (2003) as the significant contribution in information revolution. Customer satisfaction and customer retention are increasingly developing into key success factors in e-banking (Bauer et al, 2005). The following figure is rightly shown by Ali, Alawneh and Ezz, Hattab(2009) OBJECTIVE To explore the factors responsible for proper e-business functioning in the bank. To test the impact of e-business on bank’s functioning To explore the customer perception of e-business with respect to banks. To explore business value created by banks. METHODOLOGY The exploratory studies have been made from the primary viz Employees of Banks, customers of banks and secondary sources i.e. published sources, journals, company’s official websites etc. Sample size is of 200 out of which 100 is taken from customers and 100 are taken from bank executives of mix of large and small banks. The mode of research chosen is questionnaire. All 200 respondents have been served with questionnaire and their views have been analyzed thereon. The sampling method used in convenience sampling. (It is a type of non probability sampling which involves the sample being drawn from that part of the population which is close to hand. That is, a sample population selected because it is readily available and convenient) The reasons of using this sampling type are twofold. First, it offers an easy way to obtain the raw data for the further analysis. Second, it saves times and costs since the respondents can be randomly selected. The statistical technique used is “Hypothesis Testing” (i.e. Randomized block design) and non parametric statistical measure i.e. chi-square. DATA ANALYSIS The information are gathered from banks executives and customers under the study are analyzed so as to meet the requirements for objectives laid for the study. Table 1: Profile of respondents (Bank Executives & Customers) Demographics Items No. of respondents Percent Gender Male 125 1 .25 Female 75 .75 Age group 20-30 70 .7 31-40 54 .54 41-50 46 .46 > 50 30 .3 Education Secondary 10 .1 education Graduate 100 1.0 Post graduate 90 .9 Other 0 Occupation Public sector 70 .7 Private sector 100 1.0 Self employed 25 .25 Other 5 .05 Adequacy of IT professionals- In current scenario, experience counts when the fierce competition amongst banks are seen. Experience of handling IT resources effectively. Technology readiness- The skills are aptly being utilized in the bank’s internal operation which leads to better performance in banks. Bank Size- The size of bank matters when the value creation is important as ebusiness effective usage is possible when value is created. E-business is much more than electronic transactions. Financial Resources- This limits any bank’s effective functioning as far as e-business implementation is concerned. IT Strategy- IT strategy implementation leads to growth of bank’s routine as well as innovative transactions. Competition intensity- The pressures of other competitors make the banks to perform better. Regulatory support- The support from the environment is also one of the factor affecting smooth functioning of e-business. Online revenues- Online revenues generated can have the positive effect on the internal operations in banks. The eight factors which affect the banks functioning is further taken as NULL hypothesis for studying the impact of e-business on bank’s performance. NULL HYPOTHESIS- There is a no difference between various factors on e-business / or various sources which affect bank performance. Table 2: Factors of e-business and impact on e-business FACTORS/SOURCES OF E-BUSINESS Impacts Adequacy Bank Techno. Regulator Financial Competition IT Online Of Of IT Size readiness support Resources Intensity StrategyRevenue E-business Professionals Internal Operations 3 3 5 3 3 2 Coordination 10 and Communication Total 20 3 3 2 Sales, services And Marketing 5 9 9 2 6 5 3 5 4 3 10 20 4 3 9 Correction factor T ² / N = (100)²/24= 416.66 Sum of squares between impacts of e-business (20)²/3 + (9)²/3+ (9)²/3+ (6)²/3+ (20)²/3 + (9)²/3+ (12)²/3+ (15)²/3=C 400/3+81/3+81/3+36/3+400/3+81/3+144/3+225/3= 416.66 4 12 Total 5 30 5 30 5 15 40 100 133.33+27+27+12+133.33+27+48+75= 416.66 482.66-416.66= 66 Sum of squares between factors of e-business (30)²/8 + (30)² /8+ (40)²/8= C 900/8 +900/8+1600/8= 416.66 112.50+112.50+200-416.66= 8.34 Total sum of squares= (5)²+ (5)²+ (10)²+ (3)²+ (3)²+ (3)²+ (3)²+ (3)²+ (3)²+ (2)²+ (2)²+ (2)²+ (5)²+ (5)²+ (10)²+ (3)²+ (3)²+ (3)²+ (4)²+ (4)² +(4)²+ (5)²+ (5)²+ (5)²=416.66 25+25+100+9+9+9+9+9+9+4+4+4+25+25+100+9+9+9+16+16+16+25+25+25=416.66 516-416.66=99.34 Residual or Remainder= Total sum of squares –sum of squares between factors of ebusiness-sum of squares between impacts of e-business R=99.34-66-8.34 = 25 Degree of freedom for remainder (c-1)(r-1) (8-1)(3-1) 7x2=14 Table 3: Calculation of F value Sources of Sum of squares df Mean squares F variation Between 66 11 6 3.34 factors of ebusiness Between 8.34 6 1.39 .77 impacts of ebusiness Remainder 25 14 1.79 Total 99.34 31 As the critical value of F (14, 11) with a=.05 is 2.53 which is less than the calculated value of F=3.34, null hypothesis is rejected that there is no significant difference in the usage of sources/factors affecting e-business by various banks. In other words the factors have significant impact on e-business i.e. on internal operations, sales as well as marketing and coordination/communication. Banks use one or more sources to improve the e-business of the organization. The factors have a overall impact on bank’s internal operations, besides sales and marketing, as well as coordination and communication. The customer expectation and satisfaction plays a major role in the continuity of business value in a bank. The business value is created by the above sources1. Bank Size 2. Financial resources 3. Competition intensity 4. IT Strategy 5. Online revenue 6. Regulatory support 7. Technological readiness 8. Adequacy of technology professionals ‘E –business is the heart of every bank.’ Without this no bank can run successfully in modern information technology enabled economy. The same question has been asked to respondents whether e-business and bank performance are related or not Null hypothesis has been set that use of e-business and bank performances are related and alternate hypothesis is that use of e-business and bank performance are not related. No. of customers Using EBusiness completely Not using ebusiness completely Total No. of customers Using EBusiness completely Not using ebusiness completely Total Table 4: Use of e-business on bank’s performance Number of customers on improvement of Small bank’s Large bank’s Total performance performance 25 25 50 25 25 50 50 50 100 Table 5: Calculation of expected frequencies Number of customers on improvement of Small bank’s performance 25 ; 50 x 50/100=25 Large bank’s performance 25; 50 x 50/100=25 Total 25; 50 x 50/100=25 25; 50 x 50/100=25 50 50 50 100 50 X² =0 , the critical value of X² at 1 degree of freedom at 5% level of significance is 3.841. The calculated value is less than the critical value, null hypothesis is accepted and alternate hypothesis is rejected. FINDINGS The analysis elucidates that creating e-business application architecture is a continuous process of integration, encompassing the enterprise’s entire operating base applications & infrastructure to support the business. Although e business provides flexibility in performing financial transaction, fast and easy, however individuals are still reluctant to adopt the system because of several reasons. First, the security and privacy are two elements in the perceived risk. Without a proper knowledge of the system, individuals are not interested to test the system. The analysis using chi-square (Table 4&5) shows that the performance of bank and e-business are interrelated. The hypothesis testing (Table 2&3) used for the analysis of factors affecting ebusiness in banks indicates that there is no significant difference in the factors which affect the functioning of banks. Few customers see that usage of e-business improves the large and small bank’s performance completely and others are in the opinion that less usage of e-business in the banks can also lead to smooth functioning of banks. Our analysis of the paper has rightly concluded that e-business is closely related with bank’s performance. CONCLUSION The result of this study shows the important determinants of e-business in banks. We have focused our study on banks carrying out e-business that enabled transactions in which individual consumers were involved. They called “B-to-C” (business-toconsumer), which are firms that directly and exclusively engage in transactions with individual customers. This study meets the desired objective and concludes that majority of customers are accepting e-business because of many favorable factors. Analyses have concluded that e-business and bank’s performance are interrelated and factors have a strong and positive effect on customers to accept e-business completely. REFERENCES Kalakota, Ravi; Robinson, Marcia, “E-Business 2.0 Roadmap for Success” Chaffey, Dave, “E-Business and Ecommerce Management” Bauer, H.H., Hammerschmidt, M. and Falk, T. (2005),“ Measuring the quality of ebanking portals”, International Journal of Bank Marketing, Vol. 23, No. 2, pp. 153-75 European Management Journal, Vol. 18, No. 3, pp. 312–327. Perumal, V and Shanmugan. (2004). Internet Banking: Boone or Bane. Journal of Internet Banking and Commerce, Vol. 19, No. 3. 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