Electronic Business: Concepts, Methodologies, Tools, and Applications (4-Volumes) P125

Adoption of Internet Technology by the Banking Industry in Oman Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading: Addison-Wesley. Gefen, D. (2002). Customer loyalty in e-com-merce. Journal of the Association for Information Systems, 3(2), 27-51. Gefen, D., & Straub, D. (1997). Gender differ-ences in perception and adoption of e-mail: An extention to the technology acceptance model. MIS Quarterly, 21(4), 389-400. *HRUJH-,QÀXHQFHVRQWKHLQWHQW WR make Internet purchases. Internet Research: Electronic Networking Applications and Policy, 12(2), 165-180. Ghosh, S. (1998). Making business sense of the Internet.Harvard Business Review, March-April, 126-133. Gibson, A., & Frakes, A. (1997). Truth or conse-quences: A study of critical issues and decision making in accounting. Journal of Business Eth-ics, 16, 161-171. Goldenhar, L., & Connell, C. (1993). Understand-ing and predicting recycling behavior: An applica-tion of the theory of reasoned action. Journal of Environmental Systems, 22, 91-103. Harrell, G., & Bennett, P. (1974). An evaluation of the expectancy value model of attitude measure-ment for physician prescribing behavior. Journal of Marketing Research, 11(3), 269-278. Harrison, D., Mykytyn, P., & Riemenschneider, C. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information Systems Research, 8(2), 171-195. Held, J., & Bowers, J. (2001). Securing e-business applications and communications. Boca Raton, FL: Auerbach. Hendrickson, A., & Collins, M. (1996). An as-sessment of structure and causation of IS usage. The DATABASE for Advances in Information Systems, 27(2), 61-67. Igbaria, M., Guimaraes, T., & Davis, G. (1995). Determinants of microcomputer usage via a structural equation model. Journal of Manage-ment Information Systems, 11(4), 87-114. Julian, C., & Ramaseshan, B. (1994). The role of customer-contact personnel in the marketing of a retail bank’s services. International Journal of Retail and Distribution Management, 22(5), 29-34. Kalakota, R., & Whinston, A. (1997). Electronic commerce: A manager’s guide. Reading, Mass: Addison-Wesley. Karahanna, E., & Limayem, M. (2000). E-mail and v-mail usage: Generalizing across technolo-gies. Journal of Organizational Computing and Electronic Commerce, 10(1), 49-66. Karahanna, E., Straub, D., & Cherveny, N. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption believes. MIS Quarterly, 23(2), 192-213. Kettinger, W., Grover, V., Guha, S., & Segars, A. (1994). Strategic systems revisited: A study in sustainability and performance. MIS Quarterly, 18(1), 31-58. Khalfan, A. (2004). Information security consider-ations in IS/IT outsourcing projects: A descriptive case study of two sectors. International journal of Information Management, 24(1), 29-42. King, W., & Teo, T. (1996). Key dimensions of facilitators and inhibitors for the strategic use of information technology.Journal of Management Information Systems, 12(4), 35-53. Klobas, J., & Clyde, L. (2000). Adults learning to use the Internet: A longitudinal study of atti-tudes and other factors associated with intended 1174 Adoption of Internet Technology by the Banking Industry in Oman Internet use. Library and Information Science Research, 22(1), 5-34. Kurland, N. (1995). Ethical intentions and the theories of reasoned action and planned behav-ior. Journal of Applied Social Psychology, 25(4), 297-313. Lavender, M. (2004). Maximizing customer relationships and minimizing business risk. The International Journal of Bank Marketing, 22(4), 291-296. Lederer, A., Maupin, D., Sena, M., & Zhuang, Y. (2000). The role of ease of use, usefulness and attitude in the prediction of World Wide Web usage. Paper presented at the ACM SIGCPR Conference on Computer Personnel Research, Boston, MA. Lee, D. R. (2005). Agricultural sustainability and technology adoption: Issues and policies for developing countries American Journal of Agri-cultural Economics, 87(5), 1325-1334. Liao, S., Shao, Y., Wang, H., & Chen, A. (1999). The adoption of virtual banking: An empirical study.International Journal of Information Man-agement, 19(1), 63-74. Loch, K., & Conger, S. (1996). Evaluating ethical decision making and computer use.Communica-tions of the ACM, 39(7), 77-83. Locke, E., Fredrick, E., Lee, C., & Bobko, P. (IIHFWRIVHOIHI¿FDF\JRDOVDQGWDVN strategies on task performance. Journal of Ap-plied Psychology, 69(2), 241-251. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior.Information Systems Research, 2(3), 173-191. Michelsen, H., & Hartwich, F. (2004). Univer-sity-based agricultural research: A compara-tive study in Sub-Saharan Africa. Addis Ababa: International Service for National Agricultural Research Miles, M., & Huberman, A. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Thousand Oaks: Sage Publications. MISC. (2002). 6 million Internet user registration milestone reached, after 1st quarter, as banking usage (transactions) grow 15% in latest quarter. Retrieved December 17, 2004, from www.mar-ketintelligence.com.au Molla, A., & Licker, P. S. (2005). E-commerce adoption in developing countries : a model and instrument.Information and Management, 42(6), 877-899. Montealegre, R. (1999). A temporal model of institutional interventions for information tech-nology adoption in less-developed countries. Journal of Management Information Systems, 16(1), 207-232. Moore, G., & Benbasat, I. (1991). Development of an instrument to measure the perception of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. Mukherjee, A., & Neth, P. (2003). A model of trust in online relationship banking.International Journal of Bank Marketing, 21(1), 5-15. Mykytyn, P., & Harison, D. (1993). The applica-tion of the theory of reasoned action to senior management and strategic information systems. Information Resources Management Journal, 6(2), 15-25. Oman Ministry of Development. (1996). Vision for Oman economy (Qaboos bin Said speech, June 2, 1995). Muscat: Ministry of Development. Oman Telecommunication Company. (2002). Annual book 2002. Muscat: Oman Telecommu-nication Company. 1175 Adoption of Internet Technology by the Banking Industry in Oman Paarlberg, R. L. (2003). Technology adoption in developing countries: The case of genetically PRGL¿HGFURSV. Retrieved April 2007, from http:// www.au.af.mil/au/awc/awcgate/cia/nic2020/tech-nology_adoption_nov6.pdf Porter, M. (2001). Strategy and the Internet. Har-vard Business Review, March, 63-78. Raisinghani, M. (2000). Electronic commerce at the down of the third millennium—electronic com-merce: Opportunities and challenges. Thousand Oaks: Sage Publications. Rajapakse, J., & Seddon, P. B. (2007). ERP adop-tion in developing countries in Asia: A cultural PLV¿W8QSXEOLVKHG:RUNLQJ3DSHU8QLYHUVLW\ of Melbourne. Ramsey, J., & Smith, M. (1999). Managing cus-tomer channel usage in the Australian banking sector. Managerial Auditing Journal, 14(7), 329-338. Randall, D., & Gibson, A. (1991). Ethical decision making in the medical profession: An application of the theory of planned behavior. Journal of Business Ethics, 10(2), 111-122. Reichheld, F., & Schefter, P. (2000). E-loyalty: Your secret weapon on the Web. Harvard Busi-ness Review, 78(4), 105-113. Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: The Free Press. Sathye, M. (1999). Adoption of Internet banking by Australian consumers: An empirical investiga-tion. International Journal of Bank Marketing, 17(7), 324-334. Segars, A., & Grover, V. (1993). Re-examining SHUFHLYHGHDVHRIXVHDQGXVHIXOQHVV$FRQ¿U-matory factor analysis. MIS Quarterly, 17(4), 517-525. Shifter, D., & Ajzen, I. (1985). Intention, perceived control and weight loss: An application of the theory planned behaviour.Journal of Personality and Social Psychology, 49, 843-851. Shimp, T., & Kavas, A. (1984). The theory of reasoned action applied to coupon usage.Journal of Consumer Research, 11(Dec), 795-809. Sparks, P., & Shepherd, R. (1992). Self-identity and the theory of planned behaviour: Assessing WKHUROHRILGHQWL¿FDWLRQZLWKJUHHQFRQVXPHULVP Social Psychology Quarterly, 55(4), 388-399. Speier, C., Morris, M., & Bridggs, C. (1995). Attitudes toward computers: The impact of per-formance. Paper presented at the AIS, Pittsburgh, PA. Strauss, A., & Corbin, J. (1990). Basics of qualita-tive research: Grounded theory procedures and techniques. Newbury Park: Sage Publications. Szajna, B. (1994). Software evaluation and choice: Predictive validation of the technology acceptance instrument. MIS Quarterly, 18(3), 319-324. Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Manage-ment Science, 42(1), 85-94. Talukdar, D., Sudhir, K., & Ainslie, A. S. (2006). Investigating new product diffusion across prod-ucts and countries (Unpublished Working Paper-Yale SOM Working Paper No. MK-06). Taylor, S., & Todd, P. (1995a). Assessing IT us-age: The role of prior experience. MIS Quarterly, 19(4), 561-570. Taylor, S., & Todd, P. (1995b). Understanding information technology usage: A yest of com-peting models. Information Systems Research, 6(2), 144-176. Taylor, S., & Todd, P. (1997). Understanding the determinants of consumer composting behavior. Journal of Applied Social Psychology, 27(7), 602-628. 1176 Adoption of Internet Technology by the Banking Industry in Oman Thomson, K., Haziris, N., & Alekos, P. (1994). Attitudes and food consumption. British Food Journal, 96(11), 9-14. Vallerand, R., Pelletier, L., Deshaies, P., Cuerrier, J., & Mongeau, C. (1992). Ajzen and Fishbein’s theory of reasoned action as applied to moral EHKDYLRU$FRQ¿UPDWRU\DQDO\VLVJournal of Per-sonality and Social Psychology, 62(1), 98-109. Vatanasombut, B., Stylianou, A., & Igbaria, M. (2004). How to retain online customers. Com-munications of the ACM, 47(6), 65-69. Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic moti-vation. MIS Quarterly, 23(2), 239-260. Venkatesh, V., & Davis, F. (1996). A model of the antecedence of perceived ease of use: Develop-ment and test. Decision Science, 27(3), 451-481. Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: )RXU ORQJLWXGLQDO ¿HOG VWXGLHV Management Science, 46(2), 186-204. Wang, Y., Wang, Y., Lin, H., & Tang, T. (2003). Determinants of user acceptance of Internet bank-ing: An empirical study.International Journal of Service Industry Management, 14(5), 501-519. Warshaw, P., & Davis, F. (1985). Disentangling behavior intention and behavioral expectation. Journal of Experimental Social Psychology, 21, 213-218. Whitman, M. (2004). In defence of the realm: Understanding the threats to information security. International Journal of Information Manage-ment, 24, 43-57. Wright, A., & Ralston, D. (2002). The lagging development of small business Internet banking in Australia.Journal of Small Business Manage-ment, 40(1), 51-57. This work was previously published in the Journal of Electronic Commerce in Organizations, edited by M. Khosrow-Pour, Volume 6, Issue 3, pp. 20-36, copyright 2008 by IGI Publishing (an imprint of IGI Global). 1177 1178 Chapter 4.13 Application Integration: Pilot Project to Implement a Financial Portfolio System in a Korean Bank1 So-Jung Lee JLee Consulting, Singapore Wing Lam U21 Global, Singapore ABSTRACT This case describes a pilot project to implement a ¿QDQFLDOSRUWIROLRV\VWHP)36ZLWKLQ-ZRQ Bank. (The case is based on a real-life organisa-tion, although the identity of the organisation has been disguised at the organisation’s request.) A strategic IT review of Jwon Bank’s IT systems and architecture revealed that a lack of integration between IT systems was hampering the bank’s capability to meet its business vision. A key recom-mendation from the review was the development of an FPS that would enable customers to man-DJHDOOWKHLU¿QDQFLDODVVHWVDQGDFFHVV¿QDQFLDO services from a single place. However, creating an FPS meant that Jwon Bank had to develop a strategic solution to meet the integration needs across the entire bank. Jwon Bank examined en-terprise application integration (EAI) tools, and embarked on a pilot project to develop a prototype FPS and test the robustness of an EAI solution. The case highlights some of the management is-sues relating to integration projects of this nature, including strategic planning for integration, EAI tool selection and evaluation, and understanding RIEXVLQHVVSURFHVVÀRZDFURVVGLYLVLRQDOVLORV ORGANISATIONAL BACKGROUND Jwon Bank is one of the fastest growing providers RI¿QDQFLDOVHUYLFHVWRFRQVXPHUVLQSouth Korea. Out of all the banks in Korea, it is recognized as one of the most innovative and progressive. For H[DPSOHLWZDVRQHRIWKH¿UVWEDQNVWRRIIHU,Q-ternet banking and mobile banking services. The swiftness with which Jwon Bank has embraced technology to differentiate itself is acknowledged by industry analysts as one of the primary reasons IRUWKHVLJQL¿FDQWLQFUHDVHLQLWVFXVWRPHUEDVH Copyright © 2009, IGI Global, distributing in print or electronic forms without written permission of IGI Global is prohibited. ... - tailieumienphi.vn