Predicting internet banking adoption in Oman: A neural network approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings of the 24th International Business Information Management Association Conference - Crafting Global Competitive Economies
Subtitle of host publication2020 Vision Strategic Planning and Smart Implementation
PublisherInternational Business Information Management Association, IBIMA
Pages30-41
Number of pages12
ISBN (Electronic)9780986041938
Publication statusPublished - 2014
Event24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation - Milan, Italy
Duration: Nov 6 2014Nov 7 2014

Other

Other24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation
CountryItaly
CityMilan
Period11/6/1411/7/14

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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

Sharma, S. K., Govindaluri, S. M., & Al-Balushi, S. (2014). Predicting internet banking adoption in Oman: A neural network approach. In Proceedings of the 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation (pp. 30-41). International Business Information Management Association, IBIMA.