Bridging the dichotomous gap between expectations and perceptions in quantifying hospice care quality.

Clicks: 371
ID: 4494
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.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #2 of 11 articles by views in health marketing quarterly

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create 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
This study uses a fuzzy logic and neural network to ascertain how service quality dimensions of the SERVQUAL model (reliability, assurance, empathy, responsiveness, and tangibility) affect overall customer satisfaction. Using a threshold logic unit to produce observation outcomes, the algorithm indicated that while reliability was the crux of the service outcome, peripheral variables (e.g., assurance, empathy, responsiveness, and tangibility) integrated emotions and feelings into the hospice service process which equated to an increased quality of life, a positive disconfirmation of expectations (service expectations were met or exceeded) and a good death experience equating to a positive perception of quality.
Reference Key
matthewsbridginghealth Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Matthews, Brian L;Daigle, Jamie;
Journal health marketing quarterly
Year Year not found
DOI
10.1080/07359683.2019.1618010
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.