Name
Abstract | ||
|---|---|---|
Other research has investigated different aspects of e-learning, e.g. comparing the effectiveness of e-learning with traditional classroom training and on the success of IT or computer skills training. This study focused on how to ensure that individuals continue their usage of business and management e-learning courses for self-development in Hong Kong Corporations. A theoretical framework was developed based on Venkatesh's model of System Usage, Bhattacherjee's Expectation-Confirmation Model and Seddon's re-specification of DeLone and McLean's Information System Success Model. The proposed model was calibrated with 212 valid samples from five corporations in Hong Kong and was validated with 15 questionnaires from a small e-commerce company of 50 staff at a different time. The data supported the model and the model had a moderate explanatory power (R2=37%) for continued usage. The structural model was not affected by different collection periods (first collection batch vs last collection batch), sample (calibration vs validation), gender (mate vs female), position (manager vs non-manager), and computer usage experience (10 years or more vs less than 10 years). However, the model was different for groups of different ages (age 36 and above vs below 36) and educational levels (university graduates vs non-university graduates). Further research and the business implications for improving the continued usage of business e-learning courses are discussed. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-0-387-34731-8_26 | International Federation for Information Processing |
Keywords | Field | DocType |
e-learning,user satisfaction,continued IT usage,technology acceptance,survey research,consumer behavior | Information system,System usage,E learning,Consumer behaviour,Knowledge management,Psychology,Computer literacy,Survey research,Explanatory power,Computer usage | Conference |
Volume | ISSN | Citations |
210 | 1571-5736 | 2 |
PageRank | References | Authors |
0.39 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Yeung | 1 | 9 | 0.80 |
| Ernest Jordan | 2 | 40 | 8.38 |