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Journal : International Journal of Artificial Intelligence Research

Pandemics' Contagion And Spillover Effects On Global Financial Markets Faurani Santi Singagerda; Anggalia Wibasuri; Andi Desfiandi
International Journal of Artificial Intelligence Research Vol 6, No 1.2 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.2.878

Abstract

This study will examine at the relationships and influence of economy factors on another variable of the Covid-19 Pandemic effect on The Financial Market Index on The Indonesia Stock Exchange during the coronavirus pandemic. Considering daily Covid-19 confirmed cases from the United States and China, as well as the Stock Indexes of the United States, China, and Indonesia from January 1, 2020 to October 30, 2020. The results demonstrate that the total active instances of Covid-19 in the United States (USAC) have a positive impact on the Indonesian Financial Market Index (JKFINA). It is indicated by a decline in primary industry and its contribution to economic growth, which has impacted on China's raw material export to Indonesia. Many corporations have dropped, causing issues with the banking industry and, as a result, a negative influence on the Indonesian Financial Stock Index (JKFINA). Given these conditions, the Indonesian government must fully support the activities of small, medium, and large businesses in order to maintain and promote Indonesia's export activities, provide simplicity in export permits, accelerate the export licensing process, and pay more attention to the rules set by the US. Due to the restriction of raw material supply from China, Indonesia needs to be able to optimize its own resources
Exploring the Impact of Relevant Factors on the Acceptance of Cryptocurrency Mobile Apps: An Extended Technology Acceptance Model (TAM-3) Wibasuri, Anggalia; Purnomowati, Indah; Singagerda, Faurani Santi
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.1.971

Abstract

This study aimed to deepen the understanding of the decision-making process supporting the acceptance of Cryptocurrency mobile apps by integrating relevant factors into the Traditional Technology Acceptance Model (TAM). The impact of Antecedent System Characteristics (Relevance, Terminology, and Screen Design), Perceived Risk, and Trial ability on the existing TAM-3 constructs was investigated. A survey questionnaire was distributed among mobile cryptocurrency app users, resulting in 41 responses. The proposed framework was evaluated using the SEM-PLS method, including confirmatory factor analysis (CFA), and its construct validity was confirmed. Invariance tests were conducted on both the measurement and structural models. While most findings supported the suggested model, exceptions were found regarding Terminology and Perceived Risk of Cryptocurrency Mobile Application Adoption. The extended TAM factors, unlike the traditional TAM, accounted for 45% of the variance in the actual usage of cryptocurrency mobile apps. The revised model demonstrated improved predictive and explanatory power, particularly in explaining Perceived Ease of Use, which the traditional model could not. The study highlights the occurrence of inconsistencies between the original TAM model constructs and the added constructs when expanding the Technology Diffusion theory. Nonetheless, the model in this study enhances predictive capabilities and provides a comprehensive explanation of users' acceptance of mobile cryptocurrency applications.Keywords: TAM-3, Cryptocurrency, technology diffusion theory, integrating relevant factors, decision making process
A Model of Indonesian Consumers' Online Shopping Behavior, an Extension of TAM Wibasuri, Anggalia; Pratisti, Cahyani; Nurjanah, Indah Ike
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1115

Abstract

The aim of determining the online shopping behavior of Indonesian consumers was to create a model of online shopping behavior in Indonesia. The specific goal was to examine and develop a model of online shopping behavior in Indonesia using the Technology Acceptance Model, which is integrated with e-trust, security, and perceived risk as moderators. This research used a descriptive analysis method with a quantitative approach. Primary data were obtained by distributing questionnaires with 385 respondents as samples, using an online survey. The questionnaire was analyzed to determine the effect of the Technology Acceptance Model on Purchase Intention in online marketing through the moderating role of trust, security, and risk. The object of this research was online shopping users in Indonesia. The population of this study was all consumers who used the Internet to make online purchases (Blibli.com, Tokopedia.com, Bukalapak.com, Beribenka.com, Shopee.com, or other online product marketing sites) either through smartphone media or other media (PCs, and laptops). Samples were taken using the non-probability sampling technique with the purposive sampling method and analyzed using SEM. The results showed that perceived usefulness positively affected consumer attitudes, perceived ease of use positively affected consumer attitudes, perceived ease of use positively affected purchase intentions, perceived ease of use affected purchase intentions strengthened by perceived risk, consumer attitudes positively affected purchase intentions, attitudes affected purchase intentions strengthened by security, and attitudes affected purchase intentions strengthened by e-trust.