Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 265

The DOI matches its Crossref record.

Adoption of Information Technology in U.S. Hotels: Strategically Driven Objectives

Siguaw, Judy A., Enz, Cathy A., Namasivayam, Karthik·2000·Journal of Travel Research

Abstract

Using two unique, independent samples of U.S. hotels, this study examines the utilization of information technology (IT) in all hotel sectors, from deluxe to budget, to reveal strategic differences and similarities. Overall, the findings suggest that the U.S. lodging industry has focused on employing technologies that improve employee productivity and enhance revenue but has not given strategic priority to technologies designed to improve guest services. The hotel sector, lodging type, size/complexity of the property, and independent versus chain affiliation influenced the number and type of technologies adopted. Luxury and upscale hotels adopted more IT than economy and budget hotels. Similarly, IT development was greatest for certain lodging types such as convention hotels, conference centers, and casinos, and lowest for other types, such as motels and bed-and-breakfasts. Chain-affiliated properties typically adopted more technologies than independent hotels.

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 · 10.1177/004728750003900209

Cites

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

Cited by

Metadata

Authors
Siguaw, J. A., Enz, C. A., & Namasivayam, K.
Venue
Journal of Travel Research
Published
2000-11
Volume
39
Issue
2
Pages
192-201
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W2172267593
Cited by
265
References
0
FWCI
12.09
Type
journal article
Language
en
Open access
closed

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

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.