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BukuANALISIS MINAT BELI MEMBERSHIP PREMIUM SPOTIFY DENGAN MENGGUNAKAN INTEGRASI KANSEI ENGINEERING DAN ANALISIS FAKTOR
Bibliografi
Author: VALANTE, FEBIE ; Kristiana, Stefani Prima Dias (Advisor)
Topik: Purchasing Intention; Kansei Enginnering method and Factor Analysis method; Music Streaming Aplication
Bahasa: (ID )    
Penerbit: Program Studi Teknik Industri Fakultas Teknik Unika Atma Jaya     Tempat Terbit: Jakarta    Tahun Terbit: 2018    
Jenis: Theses - Undergraduate Thesis
Fulltext: 33-FebieValante-2014043049.pdf (4.13MB; 35 download)
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Abstract
In the era of globalization like nowdays, there’s a lot of technology oriented company. The same thing also happen in the music industry. Digital music era is happening rapidly and just like any other changes, there’s positive and negative side effect. The positive impact is there’s no boundaries for music access but at the same time this same thing cause music piracy often occur. For this reason Spotify present. One of the reason of spotify is to ease music movement and fight music piracy all at once. Spotify is classified as SBMS (Subsription Based Music Service) which mean Spotify provide access to music database for subscription member.As a company in technology fields, it’s only natural for Spotify to continiously make improvement to attract more consumers from all across the globe including Indonesia. Since it was founded in 2008 and legally introduces in Indonesia in 2016, Spotify continues to grow with various innovations in the digital music field. Although Spotify has succeeded in capturing many consumers among many similar apllications, it’s still not enough. Spotify still experiencing difficulties and loss every year and of course it’s such a bad news for the company. Losses are caused by the amount of company revenue from premium subscription fees and advertisements that are not proportional to the amount of money the company must pay to the record company every time the music is played. Therefore, research was conducted to see factors that have a correlation with the intention to purchase Spotify premium membership. The research was conducted using integration between the Kansei Enginnering method and Factor Analysis method. The Kansei Engineering method was chosen to determine the emotional factors that influence interest in buying Spotify premium membership based on consumers while the factor analysis method is used to determine improvement factors that need to be focused or prioritized by the company.
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