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"Peer-to-peer accommodation (P2P) adalah model ekonomi berbagi yang telah merubah industri akomodasi dengan cara yang belum pernah terjadi sebelumnya. Namun, perbedaan akomodasi P2P yang ditandai oleh beragam jenis akomodasi dan kurangnya standar kualitas menyiratkan bahwa apa yang di rasakan para tamu akomodasi P2P berbeda dari hotel. Oleh karena itu, penting untuk menyelidiki atribut akomodasi P2P untuk memahami pengalaman para tamu. Studi ini mengeksplorasi pemahaman akomodasi P2P dengan mengidentifikasi topik dan atribut penting dari ulasan pelanggan melalui beberapa perspektif; kota, peringkat, dan waktu. Penelitian ini mengambil pendekatan penambangan teks pada dataset 55.377 ulasan pelanggan Airbnb dari daftar 10 kota paling banyak dikunjungi di Indonesia (berdasarkan jumlah kedatangan asing). Studi ini mengidentifikasi bahwa atribut yang terkait dengan lokasi, tuan rumah, kamar, fasilitas, kemudahan, harga, komunitas, dan keamanan, dapat dikaitkan dengan pengalaman para tamu di akomodasi P2P. Studi ini juga melihat bagaimana atribut-atribut ini digunakan dalam konteks berbagai kota, peringkat, dan waktu. Temuan ini dapat memperkuat definisi atribut akomodasi P2P yang ditetapkan dalam penelitian sebelumnya.

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Peer-to-peer accommodation (P2P) is a sharing economy model that has disrupted the accommodation industry in an unprecedented way. However, differences of P2P accommodation characterized by diverse accommodation types and a lack of quality standard implies that guests may perceive P2P accommodation differently from hotels. Hence, there is an increase in importance to investigate P2P accommodation attributes to understand guests' experience. This study explores how people perceive P2P accommodation by identifying important topics and attributes from customer reviews through several perspectives; city, ratings, and time. This study took a text-mining approach on a dataset of 55,377 Airbnb customer reviews from listings in the top 10 most visited cities in Indonesia (based on the number of foreign arrivals). This study identified that attributes related to location, host, room, facility, amenity, price, community, and security, are associated with guests' experience in P2P accommodation. This study also looks into how these attributes are used in the context of different cities, ratings, and time. These findings can strengthen the definition of P2P accommodation attributes established in prior research."

"ABSTRAKTujuan dari penelitian ini adalah untuk menganalisis hubungan satisfaction, trust, repurchase intention, dan switching intention pada situs reservasi hotel secara online. Adapun situs reservasi hotel online dibagi menjadi tiga kategori, yaitu: Online Travel Agency, Peer-to-Peer Accommodation, dan Virtual Hotel Operator. Satisfaction dibagi menjadi dua yaitu transaction-based satisfaction dan experience-based satisfaction. Trust juga dibagi menjadi dua, yaitu institution-based trust dan disposition to trust. Penelitian ini melibatkan 600 responden yang sudah pernah melakukan reservasi dan menggunakan jasa penginapan mulai dari awal hingga akhir transaksi. Metode pengambilan sampel menggunakan teknik purposive sampling dan analisis data dilakukan menggunakan metode SEM dengan perangkat lunak LISREL. Hasil analisis menunjukkan bahwa hubungan positif antar variabel yang signifikan pada ketiga jenis platform terdapat pada variabel experience-based satisfaction dengan disposition to trust, experience-based satisfaction dengan institution-based trust, transaction-based satisfaction dengan experience-based satisfaction, transaction-based satisfaction dengan institution-based trust, transaction-based satisfaction dengan repurchase intention, dan institution-based trust dengan disposition to trust.

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ABSTRACT

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The purpose of this research is to analyze the relationship between satisfaction, trust, repurchase intention, and switching intention in online-booking hotel platforms. The online-booking hotel platforms divided into three types: Online Travel Agency, Peer-to-Peer Accommodation, and Virtual Hotel Operator. Satisfaction divided into transaction-based satisfaction and experience-based satisfaction. Trust divided into institution-based trust and disposition to trust. The object of this research was 600 respondents who have ever used the service of online-booking hotel platform in all transaction process (from the start until the end of service). The sampling method using purposive sampling and the data analysis were conducted using SEM (LISREL). Results show there are similarities in positive relationship between variables in the three types of platform, those are experience-based satisfaction and disposition to trust, experience-based satisfaction and institution-based trust, transaction-based satisfaction and experience-based satisfaction, transaction-based satisfaction and institution-based trust, transaction-based satisfaction and repurchase intention, the last is institution-based trust and disposition to trust."