Analysis of Satisfaction with ‘Rebuild Clinic’ Program

This study aimed to analyze the subjective satisfaction of both customers and service providers involved in the Rebuild Clinic Program, with the goal of exploring ways to optimize hair beauty services and develop marketing approaches to increase revenue. To achieve this, the study used SPSS 24.0 to conduct exploratory factor analysis for validity testing, reliability analysis with Cronbach's alpha, and frequency analysis of demographic characteristics and satisfaction with the Rebuild Clinic. Exploratory factor analysis was performed using orthogonal Varimax rotation, and Pearson correlation analysis was used to identify significant relationships between the factors. The findings are as follows: Regarding satisfaction with the Rebuild Clinic services, customers reported significantly higher satisfaction with the color service program compared to service providers. When analyzing satisfaction by gender, education, and age among all respondents and customers, there were some statistically significant differences. However, the correlations were weak, and satisfaction levels remained high regardless of demographic characteristics. For customers, only satisfaction with the Rebuild Clinic services showed a meaningful correlation with education level. These results suggest that both customers and service providers reported high satisfaction with the Rebuild Clinic Program. Therefore, improving the program’s structure and enhancing customer satisfaction with its effectiveness are likely to have a positive impact on repeat visits to beauty salons and contribute to increased sales.

Authors

Publication Details

Journal
Journal of Health and Beauty
Published
2024-12-30
DOI
https://doi.org/10.35131/ishb.2024.18.3_1.73
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Satisfaction with ‘Rebuild Clinic’ Program

Tae Young Kim, Chu Yeon Suh
Journal of Health and Beauty
Diverse Approaches in Healthcare and Education Studies
article

Analysis of Satisfaction with ‘Rebuild Clinic’ Program

Tae Young Kim, Chu Yeon Suh
article en

Abstract

This study aimed to analyze the subjective satisfaction of both customers and service providers involved in the Rebuild Clinic Program, with the goal of exploring ways to optimize hair beauty services and develop marketing approaches to increase revenue. To achieve this, the study used SPSS 24.0 to conduct exploratory factor analysis for validity testing, reliability analysis with Cronbach's alpha, and frequency analysis of demographic characteristics and satisfaction with the Rebuild Clinic. Exploratory factor analysis was performed using orthogonal Varimax rotation, and Pearson correlation analysis was used to identify significant relationships between the factors. The findings are as follows: Regarding satisfaction with the Rebuild Clinic services, customers reported significantly higher satisfaction with the color service program compared to service providers. When analyzing satisfaction by gender, education, and age among all respondents and customers, there were some statistically significant differences. However, the correlations were weak, and satisfaction levels remained high regardless of demographic characteristics. For customers, only satisfaction with the Rebuild Clinic services showed a meaningful correlation with education level. These results suggest that both customers and service providers reported high satisfaction with the Rebuild Clinic Program. Therefore, improving the program’s structure and enhancing customer satisfaction with its effectiveness are likely to have a positive impact on repeat visits to beauty salons and contribute to increased sales.

Journal of Health and BeautyVol. 18(3_1)
Openalex Percentile: Top 61%
Diverse Approaches in Healthcare and Education Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.