Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 533

The DOI matches its Crossref record; 192 of the 192 references it cites were found in a registry or an index.

Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading?

Open access
Lim, Weng Marc, Yap, Sheau-Fen, Makkar, Marian·2021·Journal of Business Research

Abstract

Highlights • Home sharing is touted as the future of marketing and tourism in the sharing economy.• Framework-based systematic review using the ADO and TCM frameworks is performed and state-of-the-art overview of home sharing in marketing and tourism is presented.• Antecedents, decisions, and outcomes of marketing exchange in home sharing are discussed.• Theories, contexts, and methods of home-sharing research in marketing and tourism are presented.• Pathways for theoretical novelty, contextual relevance, and methodological rigor are outlined.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jbusres.2020.08.051

Cites

192 of 192 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 192 references

Research works printed but not linked: 9

  1. Burton, 2020, Fostering collaborative research for customer experience–connecting academic and practitioner worlds, Journal of Business Research, 116, 351, 10.1016/j.jbusres.2020.04.058 · doi:10.1016/j.jbusres.2020.04.058
  2. Cooper, 2008, Japanese tourism and the SARS epidemic of 2003, Journal of Travel & Tourism Marketing, 19, 117
  3. Farmaki, 2019, Women in Airbnb: A neglected perspective, Current Issues in Tourism, 1
  4. Koh, 2019, Good fences make good revenue: An examination of revenue management practices at peer-to-peer accommodations, Tourism Economics, 1354816619867579
  5. Martins, 2020, A post-COVID-19 model of tourism and hospitality workforce resilience, SocArXiv
  6. Paul, 2020, Systematic reviews and theory building for Asia Pacific business and management: Directions for research, theory and practice, Asia Pacific Business Review, 26, 235, 10.1080/13602381.2019.1699319 · doi:10.1080/13602381.2019.1699319
  7. Xie, 2019, Locational strategy of professional hosts: Effect on perceived quality and revenue performance of Airbnb listings, Journal of Hospitality & Tourism Research, 43, 919, 10.1177/1096348019836277 · DOI
  8. Xie, 2019, Effects of host incentives on multiple listings in accommodation sharing, International Journal of Contemporary Hospitality Management, 31, 1995, 10.1108/IJCHM-02-2018-0145 · doi:10.1108/ijchm-02-2018-0145
  9. Zou, 2019, Chinese tourists’ sense of safety: Perceptions of expected and experienced destination safety, Current Issues in Tourism, 1

Cited by

See all 533

Metadata

Authors
Lim, W. M., Yap, S.-F., & Makkar, M.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2021-01
Volume
122
Pages
534-566
ISSN
0148-2963 (ISSN-L)
OpenAlex
W3089589649
Cited by
533
References
192
FWCI
53.40
Type
journal article
Language
en
Open access
green
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading? https://app.cochat.ai/papers/10.1016/j.jbusres.2020.08.051
The paper
Lim, W. M., Yap, S.-F., & Makkar, M. (2021). Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading? Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.08.051

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.