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Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective
Abstract
Purpose: The purpose of this paper is to examine the impact of key antecedents of unified theory of acceptance and use of technology model 2 on behavioral intention to accept and use mobile payment systems in National Capital Region, India. Design/methodology/approach: A sample of 267 mobile payment system users in National Capital Region was obtained through an online survey. A partial least squares method was used to find out whether key antecedents of UTAUT2 predict behavioral intention to accept mobile payment systems which further predicts use behavior toward mobile payment systems. Findings: The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention. Research limitations/implications: The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention. Originality/value: The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.
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Metadata
- Authors
- Gupta, K., & Arora, N.
- Affiliations
- Vivekananda Institute of Professional Studies (IN)
- ORCID
- Arora, Nupur
- Venue
- South Asian Journal of Business Studies
- Publisher
- Emerald
- Published
- 2019-11-29
- Volume
- 9
- Issue
- 1
- Pages
- 88-114
- ISSN
- 2398-628X (ISSN-L)
- OpenAlex
- W2999713194
- Cited by
- 208
- References
- 145
- Citations by year
- 2026: 16 · 2025: 42 · 2024: 40 · 2023: 51 · 2022: 35 · 2021: 18 · 2020: 5
- FWCI
- 17.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- South Asian Journal of Business Studies (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- mobile payment systems, behavioral intention, UTAUT2, Unified Theory of Acceptance and Use of Technology, performance expectancy, effort expectancy, habit, facilitating conditions, social influence, hedonic motivation, technology acceptance, use behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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