Abstract
The recent advancement in internet technologies are providing better business opportunities for banking sectors together with its customers. The purpose of this paper is to explore the main determinants such as service quality, trust, perceived usefulness, perceived ease of use and attitude of internet banking customers on the basis of existing literature of technology acceptance model. Statistical models were applied to understand and predict internet banking adoption. The data were collected using google docs from eighty Omani banking customers. The results obtained from multiple linear regression model were compared with the results obtained from neural network model to predict internet banking adoption. The performance of neural network model was superior to multiple linear regression model. The findings of this study shows that service quality was the most important predictor of internet banking adoption, followed by trust, attitude, perceived ease of use, and perceived usefulness. This study will help banking professionals, service providers, academicians, and information systems researchers.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 24th International Business Information Management Association Conference - Crafting Global Competitive Economies |
| Subtitle of host publication | 2020 Vision Strategic Planning and Smart Implementation |
| Publisher | International Business Information Management Association, IBIMA |
| Pages | 30-41 |
| Number of pages | 12 |
| ISBN (Electronic) | 9780986041938 |
| Publication status | Published - 2014 |
| Event | 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation - Milan, Italy Duration: Nov 6 2014 → Nov 7 2014 |
Other
| Other | 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation |
|---|---|
| Country | Italy |
| City | Milan |
| Period | 11/6/14 → 11/7/14 |
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Keywords
- Internet banking
- Neural network
- Oman
- Service quality
ASJC Scopus subject areas
- Business and International Management
- Management of Technology and Innovation
- Strategy and Management
- Human-Computer Interaction
- Computer Science Applications
Cite this
Predicting internet banking adoption in Oman : A neural network approach. / Sharma, Sujeet Kumar; Govindaluri, Srikrishna M.; Al-Balushi, Shahid.
Proceedings of the 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation. International Business Information Management Association, IBIMA, 2014. p. 30-41.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Predicting internet banking adoption in Oman
T2 - A neural network approach
AU - Sharma, Sujeet Kumar
AU - Govindaluri, Srikrishna M.
AU - Al-Balushi, Shahid
PY - 2014
Y1 - 2014
N2 - The recent advancement in internet technologies are providing better business opportunities for banking sectors together with its customers. The purpose of this paper is to explore the main determinants such as service quality, trust, perceived usefulness, perceived ease of use and attitude of internet banking customers on the basis of existing literature of technology acceptance model. Statistical models were applied to understand and predict internet banking adoption. The data were collected using google docs from eighty Omani banking customers. The results obtained from multiple linear regression model were compared with the results obtained from neural network model to predict internet banking adoption. The performance of neural network model was superior to multiple linear regression model. The findings of this study shows that service quality was the most important predictor of internet banking adoption, followed by trust, attitude, perceived ease of use, and perceived usefulness. This study will help banking professionals, service providers, academicians, and information systems researchers.
AB - The recent advancement in internet technologies are providing better business opportunities for banking sectors together with its customers. The purpose of this paper is to explore the main determinants such as service quality, trust, perceived usefulness, perceived ease of use and attitude of internet banking customers on the basis of existing literature of technology acceptance model. Statistical models were applied to understand and predict internet banking adoption. The data were collected using google docs from eighty Omani banking customers. The results obtained from multiple linear regression model were compared with the results obtained from neural network model to predict internet banking adoption. The performance of neural network model was superior to multiple linear regression model. The findings of this study shows that service quality was the most important predictor of internet banking adoption, followed by trust, attitude, perceived ease of use, and perceived usefulness. This study will help banking professionals, service providers, academicians, and information systems researchers.
KW - Internet banking
KW - Neural network
KW - Oman
KW - Service quality
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M3 - Conference contribution
SP - 30
EP - 41
BT - Proceedings of the 24th International Business Information Management Association Conference - Crafting Global Competitive Economies
PB - International Business Information Management Association, IBIMA
ER -