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Factors Affecting Blockchain Adoption In Indonesia Gaguk Dwi Prasetyo Atmoko; Dewi Tamara; David Yuwono; Sarah Fauziah
Syntax Idea Vol 3 No 11 (2021): Syntax Idea
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntax-idea.v3i11.1568

Abstract

Two cognitive beliefs in the Technology Acceptance Model (TAM), namely perceived usefulness and perceived ease of use, have been considered central in determining acceptance of information technology in recent decades. These two cognitive beliefs are not necessarily able to fully explain user behavior towards new information technologies such as blockchain technology, so this study will explore the factors that influence the acceptance of blockchain technology in Indonesia by integrating the TAM model with aspects of perceived security, perceived risk, trust, perceived strategic value, and cost-saving to develop a comprehensive TAM. Based on a survey conducted on 250 people who work in the banking, telecommunications, and government sectors as well as the research design using quantitative, the model was tested using a structural equation modeling which resulted in empirical findings stating that there was a significant effect given by perceived security, perceived risk, trust, perceived strategic value, and cost-saving, to the acceptance of blockchain technology
Analysis of Abnormal Return and Volume Activity of Telecommunications Sector Shares in Indonesia Before and After Covid-19 Sumadi Sumadi; Dewi Tamara; Purba Yudha Tama; William William
Syntax Idea Vol 3 No 11 (2021): Syntax Idea
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntax-idea.v3i11.1575

Abstract

The study intends to investigate if there are significant differences in the abnormal return and volume activity of telecommunication companies 90 exchange days before and 90 exchange days after the announcement of the first Covid-19 infection in Indonesia with the Event Study method. The strategies used in this study are quantitative methods with statistical description analysis using different t-test with paired samples. The samples used in this study are EXCL, ISAT, and TLKM companies included in the telecommunications infrastructure sector and listed on the Indonesia Stock Exchange (IDX). The research test results showed that there was no significant difference in the abnormal return and trading volume activity of telecommunication companies in Indonesia. It proves that telecommunication companies' performance in Indonesia is not affected by the Covid-19 pandemic, because the demand for internet and telecommunication services has become the basic need for people to be able to maintain their productivity at home
P2p Lending: Complement or Substitute to Small Bank Dewi Tamara; Asnan Furinto; Andreas Hakim; Djury Santosa
Syntax Idea Vol 3 No 11 (2021): Syntax Idea
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntax-idea.v3i11.1567

Abstract

Rapid P2P lending growth in Indonesia is expected to bring new opportunities as well as risk to the traditional financial sector. Meanwhile, covid-19 pandemic have also brought many changes to the financial landscapes. In this current pandemic situations, not many studies have been conducted about the impact of P2P especially on small bank loans, which is the type of bank that will be the first to feel the disruption in performance, if any, as well as comparing the impact between pre pandemic and during the pandemic period. Thus, this paper aims to analyze and compare the effect of P2P lending growth on the growth of small bank loans, which consists of 56 banks as of June 2021, both before (January 2019-March 2020) and during the pandemic (April 2020-June 2021). We believe focusing the research on small banks is important because these are the incumbent players in the financial sector that are expected to be the most impacted by the arrival of the P2P lending business and the pandemic situation. This research used the quantitative approach. The analysis was carried out in stages using monthly secondary panel data obtained from OJK and BPS with multiple regression analysis. The variables we used are small bank loan growth as the dependent variable, and P2P loan growth, inflation, and money supply as the dependent variables. First we analyzed the data before the pandemic, then we analyzed after the pandemic data and compared both results. Results of this study showed that P2P lending did not have a significant impact on small bank’s ability to disburse loans before the pandemic. However, our subsequent analysis regarding data during the pandemic showed that P2P lending has a significant positive impact on small bank loans growth, and gave evidence of P2P complementary effect to small banks. Both results suggest that initially before the pandemic P2P main customer is the unbanked population that cannot have access to banks, then when the pandemic occurs, borrowers that have access to small banks also consider to use P2P as their additional financing source