Financial Learning: Is It The Effective Way to Improve Financial Literacy among Accounting Students?

The aims of this study are to determine: the difference of financial literacy level between students who have had experience in financial learning and who have not had experience in financial learning. The data for this study was collected through financial literacy test and questionnaire which was distributed through randomized sampling method. A total of 173 completed and usable questionnaire have been collected. The result shows that the level of financial literacy among accounting students comes under below optimal standard category. Students who have had financial learning experience have a higher level of financial literacy than students who have not. This study provides means to improve financial learning for accounting students in preparation for creating a prosperous future.

Users' Acceptance of E-Government

The study seeks to highlight the key variables affecting usage of e-government by internal users of Indian Central Excise. An e-government acceptance model is developed and empirically tested using the 163 usable questionnaire responses from internal users of the Indian Central Excise. A priority of the variables is set by calculating the “total effect” of each variable on “intention to use e-government.” Further, the “total effect” is compared with “ratio of acceptance” and clear recommendations for the Central Excise are generated for increasing the usage of e-government among it users. The model developed here can be applied in other similar e-government projects to test the users’ intention to accept the system.

Users' Acceptance of E-Government

The study seeks to highlight the key variables affecting usage of e-government by internal users of Indian Central Excise. An e-government acceptance model is developed and empirically tested using the 163 usable questionnaire responses from internal users of the Indian Central Excise. A priority of the variables is set by calculating the “total effect” of each variable on “intention to use e-government.” Further, the “total effect” is compared with “ratio of acceptance” and clear recommendations for the Central Excise are generated for increasing the usage of e-government among it users. The model developed here can be applied in other similar e-government projects to test the users’ intention to accept the system.