Abstrak : Faktor – Faktor yang Mempengaruhi Minat Penggunaan Electronic Money : Integrasi Model TAM – TPB dengan Perceived Risk. Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi minat penggunaan e-money. Jenis penelitian ini merupakan penelitian kuantitatif. Sampel penelitian ini adalah 260 responden mahasiswa Universitas Negeri Yogyakarta. Sampel diambil menggunakan teknik convinience sampling. Metode analisis yang digunakan yaitu Structural Equation Modeling (SEM) dengan menggunakan Partial Least Square (PLS). Hasil penelitian ini menunjukkan bahwa sikap, persepsi manfaat, persepsi kemudahan penggunaan, norma subjektif, dan persepsi kontrol perilaku mempengaruhi minat penggunaan e-money, sementara persepsi risiko kinerja, risiko sosial, risiko waktu, risiko keuangan, dan risiko keamanan tidak menunjukkan adanya pengaruh terhadap minat penggunaan e-money.Kata kunci: Model Penerimaan Teknologi (TAM), Teori Perilaku Rencanaan (TPB), Uang Elektronik, Persepsi Risiko
This study aims to obtain empirical evidence of the absence of an average abnormal return, average volume trading activity, and bid-ask spread of stocks in the period around the event of the COVID-19 announcement as a global pandemic. The statement of the COVID-19 as the global pandemic of the World Health Organization (WHO) made the Indonesian capital market touch the lowest point at the level of 4,929.56.
This study used the event study with the windows period for 11 days, which was five days before the announcement, the day of the announcement, and five days after the announcement. This type of research was a quantitative research using secondary data of the stock daily data obtained from the official website of the Indonesia Stock Exchange at www.idx.co.id and also some other sites that support such as Yahoo Finance. Sampling techniques used were purposive sampling and as many as 44 companies that meet data completeness criteria. The data analysis technique used was a non-parametric t-test using the Wilcoxon Signed-Rank test.
The results of this study show that there is a difference in Average Abnormal Return in the period t-5 & t+5, t-4 & t+4, t-2 & t+2, and t-1 & t+1. The Average Trading Volume Activity indicates there is no significant difference in all periods of observation between before and after the announcement. Meanwhile, the Bid-Ask Spread shows a significant difference before and after the announcement in all periods for 11 days of observation.
This research aims to develop a valuation model for early startup companies based on an Android mobile application (Valuasi app). This application aims to help early startups to evaluate their company performance. This research method uses the research development method. The first stage is to develop a startup valuation model by determining the criteria using the multi-criteria decision making (MCDM) method and weighting the criteria using the simple additive weighting (SAW) method. The instrument and the weight determination of the valuation model have been validated from the perspective of angel investors, practitioners, and academics. The second stage is developing an Android-based startup valuation model application. The third stage is an evaluation by the users of the application. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the results show that a potential user's intent to use the application is affected by the performance expectancy and social influence toward the application. This valuation model is expected to help early startup companies conduct business valuations, so they can attract investors, especially angel investors. In addition, the results showed that there was a positive response from users in using the 'Valuasi app', which was indicated by the positive and significant effect of performance expectations on usage intentions, and a positive and significant influence on social influence and behavioral intentions on user behavior. This research shows that 'Valuasi app' can be used to assess start up valuation. However, further improvements are needed to support application facilities so as to increase the ease of using the "Start Up Valuation App" application
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