Listening to Customer Kansei for Restaurant Location Evaluation
Bibliographic Data
| ID | 21652645 |
|---|---|
| Authors | Yu‐Hsiang Hsiao (0000-0002-7524-7476, National Taipei University), Guan-Ting Chen (0000-0002-0414-1412, Formosa Plastics (Taiwan)) |
| Year | 2020 |
| Volume | 44 |
| Issue | 4 |
| Pages | 666-693 |
| Publication date | 2020-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Hospitality & Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 1096-3480 • E-ISSN: 1557-7554 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/1096348020919024 |
| OpenAlex | W3022718670 |
| Language | EN |
| Citations received | 1 |
| References cited | 56 |
Location plays a major role in outdoor atmospherics, which can provide an opportunity for the restaurant owner to create a strong first impression on consumers. This study investigated customer perspectives regarding the placement of cafés by employing a Kansei engineering–based approach. In this approach, the location-related features that are of concern to customers and Kansei words that are used by customers to express their impressions regarding a café’s outdoor atmospherics were identified through a customer survey and feature fatigue analysis. The associations between the location-related features and café impressions and their effects on customers’ visiting intention were also examined based on the stimulus–organism–response model. This approach achieved a customer Kansei–oriented location evaluation for cafés. The findings provide café proprietors a preliminary guideline for using location-related outdoor atmospherics as a strategy to produce the desired customer Kansei and reactions
Active listening · Advertising · Atmospherics · Business · Human–computer interaction · Kansei · Kansei Engineering · Color perception and design · Communication · Computer Science · Psychology · Marketing
Central places in southern Germany
The Roles of the Physical Environment, Price Perception, and Customer Satisfaction in Determining Customer Loyalty in the Restaurant Industry
Conjoint Analysis in Marketing
Customers’ cognitive, emotional, and actionable response to the servicescape
Feature Fatigue
Atmospheric Effects on Shopping Behavior
Servicescapes
Person, Process, Choice
Data mining framework based on rough set theory to improve location selection decisions
Stability in Competition
Travels Through Semantic Space
| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |