Cited by 209Technology Adoption and User BehaviourHealth, Technology, Consumer BehaviorConsumer Behavior and Marketing Influence

The DOI matches its Crossref record; 140 of the 145 references it cites were found in a registry or an index.

Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective

Gupta, Kanishk, Arora, Nupur·2019·South Asian Journal of Business Studies

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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Crossref · 10.1108/sajbs-03-2019-0037

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Citations

Cites

Research works printed but not linked: 9

  1. 2017, A study on demonetization and its impact on cashless transactions, International Journal of Advanced Scientific Research & Development, 58
  2. 2018, A study on preference of consumers towards m-wallet in Surat city, Inspira – Journal of Modern Management & Entrepreneurship, 8, 6
  3. 1975, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research
  4. 2016, Demonetization: a step towards modified India, International Journal of Commerce and Management Research, 2, 35
  5. 1994, Psychometric Theory
  6. 2012, A critical look at the use of PLS-SEM in MIS quarterly
  7. 2017, Demonetisation and E-banking in India, Education, 30, 100
  8. 2015, Principles and Practice of Structural Equation Modeling
  9. 2017, Digital payments system and rural India: a review of transaction to cashless economy, International Journal of Commerce and Management Research, 3, 169

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Metadata

Authors
Gupta, K., & Arora, N.
Affiliations
Vivekananda Institute of Professional Studies (IN)
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

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