Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model

By Abdullah Mohammed Baabdullah, Ali Abdallah Alalwan, Nripendra P. Rana, Hatice Kizgin, Pushp P. Patil. International Journal of Information Management, 2019

545 citations recorded by the source corpus.

Abstract Mobile banking is one of the most promising technologies that has emerged in recent years and could prove to have considerable value to both banks and customers. Thus, this study recognises the need to test the main factors that could predict the use of mobile banking as well as how using such a system could contribute to both customer satisfaction and customer loyalty. The conceptual model of this study combines two models (i.e. UTAUT2 and the D&M IS Success Model). A questionnaire survey was conducted to collect the required data from convenience sampling of Saudi bank customers. The main factors – performance expectancy, price value, facilitating conditions, hedonic motivation, habit, system quality and service quality – were found to have a significant impact on actual use behaviour. This study was cross-sectional, therefore future studies should implement longitudinal studies in order to re-collect the findings. Further, this study adopted convenience sampling of Saudi M-Banking users. This may adversely impact the issue of generalisability to the whole population. The gap in the M-Banking literature in Saudi Arabia would be bridged by proposing a comprehensive conceptual model that scrupulously clarifies the use of M-Banking from the perspective of Saudi users. Furthermore, this study would consider the adoption of numeric data in order to inferentially analyse them using SEM. This in turn would assist in generalising the findings to the whole Saudi population.

Subfields: Artificial Intelligence, Information Systems and Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/74296b53b82643d3dfac9cfe925a8b7a27fd5ad5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Samuel Fosso Wamba
  2. Kuttimani Tamilmani
  3. Pushp P. Patil
  4. Nripendra P. Rana
  5. Ali Abdallah Alalwan

In Information Systems and Management

  1. Kuttimani Tamilmani
  2. Samuel Fosso Wamba
  3. Pushp P. Patil
  4. Nripendra P. Rana
  5. Rohita Dwivedi
  6. Vishnupriya Raghavan
  7. Yogesh Kumar Dwivedi
  8. Ali Abdallah Alalwan

In Organizational Behavior and Human Resource Management

  1. Kuttimani Tamilmani
  2. Samuel Fosso Wamba
  3. Pushp P. Patil
  4. Rohita Dwivedi
  5. Vishnupriya Raghavan
  6. Nripendra P. Rana
  7. Yogesh Kumar Dwivedi
  8. Ali Abdallah Alalwan

Citations in the corpus