SZodixStudyAcademic Library

Dashboard Shelves Open access My library Inbox Notes Write Learn Alerts

More

Ask your library Notifications Quick cite Review

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

Mobile payment and online to offline retail business models · Study

ArticleShelves

ArticleMobile payment and online to offline retail business models

Shu-Hsien Liao2020

Article2020

Mobile payment and online to offline retail business models

108 citations·0/0 files stored·Journal of Retailing and Consumer Services

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

Consumer Retail Behavior Studies Consumer Market Behavior and Pricing Digital Innovation in Industries

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 — 108 citations exist upstream.

References

2017Managing Multi- and Omni-Channel Distribution: Metrics and Research Directions 2017Understanding omni-channel shopping value: A mixed-method study 2019A multi-analytical approach to peer-to-peer mobile payment acceptance prediction 2019Easy come or easy go? Empirical evidence on switching behaviors in mobile payment applications 2017A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment 2015A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring 2019Multichannel integration quality: A systematic review and agenda for future research 2019Understanding the impact of financial incentives on NFC mobile payment adoption

Cited by

2021Investigating online social media users’ behaviors for social commerce recommendations 2022Mobile payment adoption in Latin America 2023Does M-payment service quality and perceived value co-creation participation magnify M-payment continuance usage intention? Moderation of usefulness and severity 2022The diffusion of mobile payments: Profiling the adopters and non-adopters, Roger's way

Related works

Explore the map →

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

2021Seamless experience in the context of omnichannel shopping： scale development and empirical validationarticle · 3 shared references 2021Mining the hidden seam of proximity m-payment adoption: A hybrid PLS-artificial neural network analytical approacharticle · 3 shared references 2021Understanding the Determinants of Wearable Payment Adoption: An Empirical Studyarticle · 3 shared references 2021At the source of integrated interactions across channelsarticle · 3 shared references 2020Contextual facilitators and barriers influencing the continued use of mobile payment services in a developing country: insights from adopters in Indiaarticle · 2 shared references 2019Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approacharticle · 2 shared references

Details

Year2020

Typearticle

Published2020-08-01

VenueJournal of Retailing and Consumer Services

ISSN-L0969-6989

Languageen

Citations108

Files0 public / 0

ShelfConsumer Retail Behavior Studies

Identifiers

doi10.1016/j.jretconser.2020.102230

openalex_workW3046359059

Links

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

2022

Factors influencing technology adoption amongst small retailers: insights from thematic analysis

2022Does mobile payment adoption really increase online shopping expenditure in China: A gender-differential analysis

2023Two decades of mobile payment research: A systematic review using the TCCM approach

2024Why do consumers return products? A qualitative exploration of online product return behaviour of young consumers