Claim Missing Document
Check
Articles

Found 2 Documents
Search

IMPACT OF THE COVID-19 PANDEMIC ON INDONESIAN CAPITAL MARKET (IDX COMPOSITE) Irzameingindra Putri Radjamin
Journal of Economics, Business, and Government Challenges Vol. 6 No. 01 (2023): Journal of Economics, Business, and Government Challenges [JoEBGC]
Publisher : Faculty of Economics and Bussiness, UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ebgc.v6i01.247

Abstract

The COVID-19 pandemic has caused many problems globally. Various sectors have been affected by this pandemic. In this study, we aim to determine the impact of the COVID-19 pandemic on the Indonesian capital market (IDX Composite). The method used in this study is the quantitative method of collecting data on COVID-19 cases in Indonesia in 2020 and 2020 IDX Composite data from the government’s official website. We also use the Granger Causality Test to check the relationship between those two variables. The COVID-19 impact on Indonesian Capital Market can be seen from this study’s result, where the 2020 COVID-19 cases in Indonesia had a quite large impact on Indonesian Capital Market (IDX Composite). When the COVID-19 cases started in Indonesia in March 2020, the IDX Composite experienced a significant decline.
Marketing Magic or Just Hype? The AI Factor in Indonesia’s MSME Growth Johni Eka Putra; Lili Adi Wibowo; Siska Armawati Sufa; Nindi Aristi; Irzameingindra Putri Radjamin
Pena Justisia: Media Komunikasi dan Kajian Hukum Vol. 24 No. 1 (2025): Pena Justisia
Publisher : Faculty of Law, Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/pj.v24i2.6625

Abstract

This research investigates the strategic influence of artificial intelligence (AI) adoption on the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, emphasizing the mediating role of innovation diffusion. By synthesizing the Technology Acceptance Model (TAM), the Diffusion of Innovations (DOI) theory, and the Resource-Based View (RBV), the study analyzes how perceived usefulness and ease of use contribute to the attainment of sustained competitive advantage. Employing a quantitative methodology, the analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) on data collected from 160 MSMEs. The measurement model demonstrated strong reliability and validity. The findings reveal that technology adoption exerts a significant effect on both innovation and competitiveness, with innovation serving as a partial mediator. The R² and Q² values reflect moderate explanatory and predictive capacity. This study provides both theoretical contributions and practical recommendations for fostering digital transformation in the MSME sector through AI-driven innovation.