An Application of ISM and MIC-MAC Approach to Modelling Factors Influencing the Intention to Adopt Digital Wallets

Purpose: The present study ascertains the most influential determinants influencing the digital wallets’ intention and adoption among Delhi youths. This paper is carried out in assistance with the factors of the Technology Acceptance Model (TAM). Additional influencing factors such as user experience, government/ regulatory support, innovation, continuous digitalisation, ICT awareness, security, transparency, and trust are also considered. Design/Methodology/Approach: The determinants of adoption of digital wallets are collected using literature review analysis. ISM and MIC-MAC analysis identifies and analyse the influencers affecting intention or adoption of digital wallets. This integrated model depicts how the many influencers are related to one another. Findings: The crucial observation—which makes it abundantly evident that there are important aspects influencing the adoption of digital wallets—is highlighted by the suggested model. To explicitly state: user experience is observed as a significant factor, followed by security, government/ regulatory support and, perceived risk. Lastly, others are noticed as secondary factors to adopt digital wallets, i.e., perceived ease of use, innovation, perceived usefulness, social influence, continuous digitalisation, ICT awareness, transparency, and trust (Tang et al., 2022).

Authors

Publication Details

Journal
Journal of Commerce and Accounting Research
Published
2025-01-01
DOI
https://doi.org/10.21863/jcar/2025.14.2.010
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Application of ISM and MIC-MAC Approach to Modelling Factors Influencing the Intention to Adopt Digital Wallets

Sarmistha Sarma, Shilpa Narang, Mukesh Kumar Jain
Journal of Commerce and Accounting Research
Technology Adoption and User Behaviour
article

An Application of ISM and MIC-MAC Approach to Modelling Factors Influencing the Intention to Adopt Digital Wallets

Sarmistha Sarma, Shilpa Narang, Mukesh Kumar Jain
article en

Abstract

Purpose: The present study ascertains the most influential determinants influencing the digital wallets’ intention and adoption among Delhi youths. This paper is carried out in assistance with the factors of the Technology Acceptance Model (TAM). Additional influencing factors such as user experience, government/ regulatory support, innovation, continuous digitalisation, ICT awareness, security, transparency, and trust are also considered. Design/Methodology/Approach: The determinants of adoption of digital wallets are collected using literature review analysis. ISM and MIC-MAC analysis identifies and analyse the influencers affecting intention or adoption of digital wallets. This integrated model depicts how the many influencers are related to one another. Findings: The crucial observation—which makes it abundantly evident that there are important aspects influencing the adoption of digital wallets—is highlighted by the suggested model. To explicitly state: user experience is observed as a significant factor, followed by security, government/ regulatory support and, perceived risk. Lastly, others are noticed as secondary factors to adopt digital wallets, i.e., perceived ease of use, innovation, perceived usefulness, social influence, continuous digitalisation, ICT awareness, transparency, and trust (Tang et al., 2022).

Journal of Commerce and Accounting ResearchVol. 14(2)
Openalex Percentile: Top 94%
Technology Adoption and User Behaviour
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.