<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In its resolve for digital banking, the researchers have developed various models like TAM, UTAUT 1 and UTAUT 2 which aim to identify the key drivers of digital banking. This study primarily intends to comprehend the significance of different drivers of digital banking by developing a hierarchical model of key drivers of digital banking. The hierarchical model is done using Interpretive Structural Modeling (ISM. The study comprises of the drivers that could be directly impacting the adoption of digital banking. These constructs have been categorized and mapped using driving power-dependence diagram.</p>
</abstract>

In its resolve for digital banking, the researchers have developed various models like TAM, UTAUT 1 and UTAUT 2 which aim to identify the key drivers of digital banking. This study primarily intends to comprehend the significance of different drivers of digital banking by developing a hierarchical model of key drivers of digital banking. The hierarchical model is done using Interpretive Structural Modeling (ISM. The study comprises of the drivers that could be directly impacting the adoption of digital banking. These constructs have been categorized and mapped using driving power-dependence diagram.

Developing a Hierarchical Model for the Drivers of Digital Banking – an Interpretive Structural Modelling Approach

Zagreb International Review of Economics and Business

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In its resolve for digital banking, the researchers have developed various models like TAM, UTAUT 1 and UTAUT 2 which aim to identify the key drivers of...

Developing a Hierarchical Model for the Drivers of Digital Banking – an Interpretive Structural Modelling Approach

Publié en ligne: 20 nov. 2022

Pages: 85 - 96

DOI: https://doi.org/10.2478/zireb-2022-0016

Mots clés
TAM, UTAUT, MICMAC, Interpretive Structural Modeling

© 2022 Moteb Ayesh Albugami, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Developing a Hierarchical Model for the Drivers of Digital Banking – an Interpretive Structural Modelling Approach

Publié en ligne: 20 nov. 2022

Pages: 85 - 96

DOI: https://doi.org/10.2478/zireb-2022-0016

Mots clésTAM, UTAUT, MICMAC, Interpretive Structural Modeling

© 2022 Moteb Ayesh Albugami, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
TAM, UTAUT, MICMAC, Interpretive Structural Modeling