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Digital marketing is currently widely used and sought after by business people. The development of increasingly sophisticated technology makes the marketing process easier. The need for digital marketing continues to increase, resulting in hospital businesses using online marketing strategies. Especially during the Corona Virus Disease-2019 (COVID-19) pandemic, many people avoid visiting hospitals and prefer to use digital-based medical applications. This study is to determine the evaluation acceptance of the use of Digital Marketing on Instagram media using the Technology Acceptance Model (TAM) approach at Bunda Hospital Palembang. TAM is a model that explains the behavior of information technology users based on beliefs, attitudes, intentions, and user behavior relationships. This study is a quantitative study with a cross-sectional survey design. The dimension of Perceived usefulness had an impact of 31.1% on the acceptance of the use of digital marketing on Instagram media. Meanwhile, perceived ease of use had an impact of 13.1% on the acceptance of the use of digital marketing on Instagram media, the attitude toward using had given 17% impact on acceptance of digital marketing use on Instagram media. Meanwhile, behavioral intention to use had given 17.5% impact on acceptance of digital marketing use on Instagram media at Bunda Hospital Palembang. The evaluation by using Technology Acceptance Model (TAM) approach from various dimensions. Perceived usefulness dimension was found significantly affected on the acceptance of the use of digital marketing on Instagram media at Bunda Hospital Palembang.
Latar Belakang: Tingkat revisit intention pasien merupakan indikator penting yang mencerminkan kepuasan, kepercayaan, dan persepsi pasien terhadap mutu layanan rumah sakit. Dalam era digital, membangun loyalitas pasien tidak hanya bergantung pada pelayanan medis, tetapi juga pada persepsi terhadap rumah sakit secara keseluruhan. Faktor seperti electronic word of mouth (e-WOM), digital marketing, dan service quality menjadi elemen penting dalam membentuk hospital image, yang pada akhirnya memengaruhi keputusan pasien untuk kembali menggunakan layanan. Penelitian ini bertujuan untuk menganalisis hubungan ketiga variabel tersebut terhadap revisit intention, dengan hospital image sebagai variabel mediasi di Rumah Sakit X. Metode: Penelitian ini menggunakan pendekatan kuantitatif dengan desain potong lintang. Data primer diperoleh melalui kuesioner kepada 120 pasien yang telah mendapatkan layanan minimal satu kali dalam satu tahun terakhir. Analisis dilakukan dengan metode Partial Least Squares Structural Equation Modeling (PLS-SEM). Hasil: Hasil penelitian menunjukkan bahwa e-WOM, digital marketing, dan service quality berpengaruh positif dan signifikan terhadap hospital image. Hospital image juga berpengaruh signifikan terhadap revisit intention pasien dan memediasi hubungan antara ketiga variabel tersebut dengan niat pasien untuk kembali berkunjung. Penelitian ini memiliki keterbatasan pada ruang lingkup institusi tunggal dan keragaman karakteristik responden yang belum sepenuhnya mewakili populasi umum. Generalisasi temuan perlu dilakukan secara hati-hati. Kesimpulan: Hospital image terbukti sebagai faktor penting dalam meningkatkan loyalitas pasien. Peningkatan kualitas komunikasi digital dan konsistensi pelayanan sangat disarankan untuk memperkuat citra positif rumah sakit secara berkelanjutan.
Background: Patient revisit intention is a key indicator reflecting satisfaction, trust, and perception of service quality. In today’s digital era, building patient loyalty depends not only on clinical care, but also on overall hospital perception. Factors such as electronic word of mouth (e-WOM), digital marketing, and service quality play crucial roles in shaping hospital image, which in turn influences revisit intention. This study aims to analyze the relationship between e-WOM, digital marketing, and service quality on revisit intention, with hospital image as a mediating variable at Hospital X. Methods: A quantitative approach with a cross-sectional design was used. Primary data were collected through questionnaires from 120 patients who had received services at least once in the past year. Data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. Results: The findings indicate that e-WOM, digital marketing, and service quality have a positive and significant effect on hospital image. Furthermore, hospital image significantly influences revisit intention and mediates the relationship between the three variables and patient revisit behavior. Conclusion: Hospital image plays a key mediating role in enhancing revisit intention. Strengthening digital communication and maintaining consistent service quality are essential strategies to foster a positive and sustainable hospital image. The study is limited to a single institution with a relatively homogeneous respondent profile, and therefore, findings should be generalized with caution
