Abstract
Understanding usage of behavior of emerging technologies in banking industry is of great value and importance to both academicians and professionals. M-banking, which is overtaking online banking as per industry reports, appears to be a good example and hence, worthy to investigate. The purpose of this paper is to explore three stages of usage behavior of m-banking, namely, intention to use, system actual use, and continuance intention by employing IT acceptance models. Behavioral intention is examined to find non-linearity relationships in UTAUT using universal equation modeling. While system actual use is explored to disclose not only importance but also performance of IS success model's factors using important-performance map analysis and continuance intention is studied to reveal the impact of privacy and personalization in a m-banking context. Using an analytical approach to examine usage behavior of m-banking can reveal a strategic value to practice as well as can address a knowledge gap in theory.
| Original language | English |
|---|---|
| State | Published - 2020 |
Bibliographical note
Publisher Copyright:© Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved.
Keywords
- Analytical approach
- IT acceptance models
- M-banking
- Usage behavior
ASJC Scopus subject areas
- Information Systems