Analysis of the Relationship of Marketing Mix with Hospital Image at the Poly Outpatient Clinic of Siloam Mampang Hospital

Competition in healthcare requires hospitals to not only provide quality medical services but also build a positive image in the eyes of the public. This study aims to analyze the relationship between the marketing mix (7Ps: product, price, place, promotion, people, process, and physical evidence) and the image of Siloam Mampang Hospital in 2025. The research method used a quantitative design with a cross-sectional approach. The study sample consisted of 95 outpatients selected incidentally. Analysis included univariate, bivariate (chi-square), and multivariate (logistic regression) tests. The results showed that all dimensions of the marketing mix had a significant relationship with hospital image (p<0.05). Multivariate analysis identified process variables (OR=24.319; p<0.001) and people (OR=8.636; p=0.002) as dominant factors. These findings are in line with service marketing theory, which emphasizes the importance of efficient service flow and healthcare worker interactions in building a positive image. The study recommends strengthening service digitalization, increasing information transparency, and developing healthcare worker communication competencies. An integrated marketing strategy is believed to be able to improve image, competitiveness, and patient loyalty in the future.

Authors

Institutions

Publication Details

Journal
International Journal of Business Law and Education
Published
2025-09-28
DOI
https://doi.org/10.56442/ijble.v6i2.1249
Primary Topic
Customer Service Quality and Loyalty
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the Relationship of Marketing Mix with Hospital Image at the Poly Outpatient Clinic of Siloam Mampang Hospital

Cicilia Windiyaningsih, Sonya Dewi Wulandari, Sang Ayu Kompiang Ekawati
International Journal of Business Law and Education
Customer Service Quality and Loyalty
article

Analysis of the Relationship of Marketing Mix with Hospital Image at the Poly Outpatient Clinic of Siloam Mampang Hospital

Cicilia Windiyaningsih, Sonya Dewi Wulandari, Sang Ayu Kompiang Ekawati
article en

Abstract

Competition in healthcare requires hospitals to not only provide quality medical services but also build a positive image in the eyes of the public. This study aims to analyze the relationship between the marketing mix (7Ps: product, price, place, promotion, people, process, and physical evidence) and the image of Siloam Mampang Hospital in 2025. The research method used a quantitative design with a cross-sectional approach. The study sample consisted of 95 outpatients selected incidentally. Analysis included univariate, bivariate (chi-square), and multivariate (logistic regression) tests. The results showed that all dimensions of the marketing mix had a significant relationship with hospital image (p<0.05). Multivariate analysis identified process variables (OR=24.319; p<0.001) and people (OR=8.636; p=0.002) as dominant factors. These findings are in line with service marketing theory, which emphasizes the importance of efficient service flow and healthcare worker interactions in building a positive image. The study recommends strengthening service digitalization, increasing information transparency, and developing healthcare worker communication competencies. An integrated marketing strategy is believed to be able to improve image, competitiveness, and patient loyalty in the future.

International Journal of Business Law and EducationVol. 6(2)
Universitas Respati Indonesia (ID)
Openalex Percentile: Top 69%
Customer Service Quality and Loyalty
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.