Cited by 205Technology Adoption and User BehaviourDigital Innovation in IndustriesE-commerce and Technology Innovations

E‐commerce usage and business performance in the Malaysian tourism sector: empirical analysis

Intan Salwani, Mohamed, Marthandan, Govindan, Daud Norzaidi, Mohd, Choy Chong, Siong·2009·Information Management & Computer Security

Abstract

Purpose Based upon the E‐VALUE model developed, this paper aims to investigate the impact of e‐commerce usage on business performance in the tourism sector. Design/methodology/approach A cross‐sectional survey is carried out on 165 Malaysian firms involved in the tourism sector (hotels, resorts, and hospitals engaged in health tourism) through the use of a structured questionnaire. Findings The structural equation modeling results indicate that technology competency, firm size, firm scope, web‐technology investment, pressure intensity, and back‐end usage have significant influence on e‐commerce usage. Among these variables, back‐end integration is found to function as a mediator. E‐commerce experience (in years) is found to moderate the relationship between e‐commerce usage and business performance. Research limitations/implications The paper focuses on the tourism sector in Malaysia and concentrates only on the management perspective of e‐commerce adoption. Practical implications The results provide insights to the Malaysian tourism sector and other organizations of similar structures of how they could improve upon their e‐commerce adoption and/or usage for improved business performance. Originality/value This paper is perhaps one of the first to investigate e‐commerce usage in the tourism sector using a comprehensive set of variables through an interactive, comprehensive and multi‐dimensional theoretical model (the E‐VALUE model) in investigating their influences on busines…

Integrity signals

Registry

Crossref · 10.1108/09685220910964027

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Davis proposed TAM in which user motivation can be driven by three factors: perceived ease of use, perceived usefulness, and attitude towards using the system.

    “Davis, who counted on preceding work done by [3] continue amend his model and propose the Technology Acceptance Model in which he advises that user motivation can be driven by three factors:”
  • TOE is a popular framework for three stimuli that influence organizational adoption: technology, organization, and environment.

    “Likewise, the T-O-E framework is a popular framework for three stimuli that influence organizational adoption namely technology, organization, and environment.”
  • Organizational adoption is based on technology, organisation, and environment.

    “Upon decision making three key elements environmental, organisational and technological needs to be factored in, and organizational adoption is based on technology, organisation, and environment [4].”
  • The strength of an organisation is determined by both internal and external elements: environment, organisation size, and organisation strategy.

    “According to [3] the strength of a organisation is determined by both internal and external elements which can be described as environment, organisation size, and organisation strategy.”
  • There are few investigations at the individual level on IT appropriation.

    “Broad literature on Information Technology (IT) appropriation demonstrates that there are a few investigations at the individual level [4].”

Cites

Flagged first, then by citations

2 of the 78 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Intan Salwani, M., Marthandan, G., Daud Norzaidi, M., & Choy Chong, S.
Affiliations
Multimedia University (MY)
Venue
Information Management & Computer Security
Publisher
Emerald
Published
2009-06-05
Volume
17
Issue
2
Pages
166-185
ISSN
0968-5227 (ISSN-L)
OpenAlex
W2163084508
Cited by
202
References
78
Citations by year
2026: 3 · 2025: 11 · 2024: 11 · 2023: 20 · 2022: 20 · 2021: 17 · 2020: 21 · 2019: 14 · 2018: 9 · 2017: 14 · 2016: 15 · 2015: 12 · 2014: 13 · 2013: 4 · 2012: 8
FWCI
13.06
Type
journal article
Language
en
Open access
closed
Locations
Information Management & Computer Security (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
  • Social Sciences › Business, Management and Accounting › Business and International Management › E-commerce and Technology Innovations
Keywords
e-commerce adoption, firm performance, tourism industry, technological competence, firm size, firm scope, pressure intensity, hotels, medical tourism

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