Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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All Journal International Journal of Evaluation and Research in Education (IJERE) Applied Accounting and Management Review
Nguyen Thi Kim Lien
Asia Eastern University of Science and Technology
Decision Sciences, Operations Research & Management Education

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DO IDX30 INVESTMENT STOCKS OFFER OPTIMAL RISK–RETURN TRADEOFFS? A POST-COVID STUDY Kenneth Pinandhito; Nguyen Thi Kim Lien; Dina Yeni Martia; Alvianita Gunawan Putri; Junaedi Adi Prasetyo
Applied Accounting and Management Review (AAMAR) Vol. 5 No. 1 (2026): APPLIED ACCOUNTING AND MANAGEMENT REVIEW (AAMAR)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/aamar.v5i1.7578

Abstract

This study aims to analyze the formation of an optimal portfolio of stocks based on the Markowitz model in IDX Quality30 companies post covid from January 2021 to December 2022. The secondary data used are daily closing stock prices. The samples in this study were 19 companies. The analysis results show that ten stocks are optimal portfolio candidates: ASII, BBCA, BMRI, ITMG, KLBF, MIKA, PTBA, SIDO, TLKM, and UNTR. The optimal portfolio formation of the Markowitz model consists of 10 issuers with proportions, namely SIDO 30.81%, TLKM 15.61%, MIKA 12.09%, KLBF 11.90%, BBCA 8.64%, ASII 7.39%, PTBA 5.35%, UNTR 3.73%, ITMG 3.53%, BMRI 0.94%. The proportion of funds generated can provide an expected return value of 0.047% with a risk level (standard deviation) of 0.885%.
Assessing the impact of ChatGPT in education: perspectives from Vietnamese educators Nguyen Thi Thu Thuy; Nguyen Thi Kim Lien; Phan Thi Van; Hoang Phuong Lam; Nguyen Le Thanh Truc
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i1.33610

Abstract

ChatGPT is an AI-driven conversational model offering significant benefits for personalized learning, such as adaptability to individual learning styles and increased engagement. While prior research has largely explored student use, limited attention has been given to educators’ perspectives particularly in Vietnam, where access to ChatGPT remains inconsistent. This study examines how perceived information quality (IQ), system quality (SQ), and service quality (SRQ) influence Vietnamese educators’ satisfaction (SF) and intention to use (IU) ChatGPT for academic purposes. Data were gathered through an online survey of 96 educators from five public universities in southern Vietnam and analyzed using partial least squares structural equation modeling (PLS-SEM). Results show that all three quality dimensions significantly affect user SF, but only SQ directly impacts the IU. SF mediates the effects of information and SRQ on usage intentions, emphasizing the importance of user experience in fostering adoption. Policy recommendations include enhancing equitable access to AI tools, promoting AI literacy among educators, and conducting ongoing evaluations to support sustainable implementation. The study highlights how spatial and contextual factors shape AI adoption in education, offering practical insights for integrating ChatGPT and similar tools, especially in under-resourced or geographically remote educational settings.
Co-Authors Alvianita Gunawan Putri Dina Yeni Martia Hoang Phuong Lam Junaedi Adi Prasetyo Kenneth Pinandhito Nguyen Le Thanh Truc Nguyen Thi Thu Thuy Phan Thi Van