The Influence of Emotional Design and Demographic Characteristics on Homestay Inn Satisfaction

Authors

  • Huanhuan Tian School of Architecture, Art, and Design, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand;School of Art, Dali university, Dali, 671003, China
  • Yanin Rugwongwan School of Architecture, Art, and Design, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand

Keywords:

Homestay Inn; Emotional Design; Social Stratification Theory.

Abstract

Objective The burgeoning homestay inn industry has diversified and personalized accommodation offerings. This study investigates the interplay between demographic variables (such as consumers' gender, age group, educational attainment, occupation type, and income level) and emotional needs (encompassing the utilitarian, visual-aesthetic, and reflective dimensions). The aim is to assist homestay inn in delivering more precisely tailored services and designs. Methods Employing a cross-sectional research approach, this study gathered data from a sample of 916 homestay inns consumers across the nation via online surveys. The data underwent analysis through SPSS, encompassing descriptive statistics, correlation analysis, and regression analysis. Initially, the research focused on delineating the basic characteristics of the respondents and their emotional needs. Subsequently, it probed the existence of correlations between demographic variables and emotional needs. Lastly, the robustness of the regression model was assessed. Results The findings reveal that the primary demographic of homestay inn patrons skews towards younger individuals aged 30-45, with a higher educational background (college degree and above) and higher income brackets (5001-10000 yuan), albeit with diverse occupational profiles. The average score for emotional needs hovered around 8 points, suggesting a generally positive reception towards emotional design among respondents. A statistically significant correlation was observed between demographic variables and emotional design. Nevertheless, the regression model's explanatory power proved limited, indicating the need for more in-depth exploration to unravel the complexities of these relationships.

Downloads

Published

2024-09-09

How to Cite

Huanhuan Tian, & Yanin Rugwongwan. (2024). The Influence of Emotional Design and Demographic Characteristics on Homestay Inn Satisfaction. International Journal of Communication Networks and Information Security (IJCNIS), 16(4), 262–274. Retrieved from https://ijcnis.org/index.php/ijcnis/article/view/6992

Issue

Section

Research Articles