SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Classification of m-payment users’ behavior using machine learning models · Study

ArticleShelves

ArticleClassification of m-payment users’ behavior using machine learning models

Faheem Aslam2021

Article2021

Classification of m-payment users’ behavior using machine learning models

Faheem Aslam · Tahir Mumtaz Awan · Tayyba Fatima

12 citations·0/0 files stored·Journal of Financial Services Marketing

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Customer churn and segmentation Health, Technology, Consumer Behavior

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 12 citations exist upstream.

References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling 2019Diffusion of Innovations 1 1988Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 1955Construct validity in psychological tests.2001Consumer perceived value: The development of a multiple item scale

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2023Mobile banking usage in the postpandemic era: Demystifying the disparities among divergent user segments in a majority-Muslim countryarticle · 8 shared references 2023Factors affecting the adoption of mobile payment services during the COVID-19 pandemic: an application of extended UTAUT2 modelarticle · 8 shared references 2019Factors Influencing the Intention to Use the Common Ticketing System (Spider Card) in Thailandarticle · 8 shared references 2018The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived valuearticle · 7 shared references 2020Digital payment and banking adoption research in Gulf countries: A systematic literature reviewreview · 7 shared references 2021The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysisarticle · 7 shared references

Details

Year2021

Typearticle

Published2021-09-07

VenueJournal of Financial Services Marketing

ISSN-L1363-0539

Languageen

Citations12

Files0 public / 0

ShelfTechnology Adoption and User Behaviour

Identifiers

doi10.1057/s41264-021-00114-z

openalex_workW3198653517

Links

Imported from OpenAlex (CC0) — nothing here is generated.