attribute perception mapping services domestic airlines using correspondence analysis (59-67)
Clicks: 196
ID: 221635
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
196 views
20 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #9 of 11 articles by views in 2009 ieee 17th signal processing and communications applications conference, siu 2009
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Positioning analysis provides a better understanding of the position based on the perception of passenger flights to service these attributes attached to each airline. This study aims to perform positioning of the domestic airline services based attributes, which characterize the airline based on the perception of consumers. Correspondence Analysis (CA) is used to determine the positioning of the six commercial airlines in Indonesia. The results of correspondence analysis showed
that the airline Garuda, Lion Air, Citilink and Air Asia already has its own characteristics inherent in the minds of consumers, while the two other airlines, namely Batik Air and Sriwijaya Air has not had a special identifier.
Keywords:
Positioning, Correspondence Analysis, Full Service Airline (FSA), Low Fare Airline (LFA
that the airline Garuda, Lion Air, Citilink and Air Asia already has its own characteristics inherent in the minds of consumers, while the two other airlines, namely Batik Air and Sriwijaya Air has not had a special identifier.
Keywords:
Positioning, Correspondence Analysis, Full Service Airline (FSA), Low Fare Airline (LFA
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (119 words).
Try re-searching for a better abstract.
| Reference Key |
riandarini2016internationalattribute
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Reni Heviandri Riandarini;Ujang Sumarwan;Kirbrandoko Kirbrandoko;Lilik Noor |
| Journal | 2009 ieee 17th signal processing and communications applications conference, siu 2009 |
| Year | 2016 |
| DOI |
10.21632/irjbs.v8i1.1137
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.