Authors Statistics from 2 Countries
| Country | Count of Articles |
|---|---|
| Cambodia | 1 |
| Indonesia | 4 |
Articles
The Middle-Income Trap: Will Cambodia Be Able to Escape It?
Abstract
Cambodia has enjoyed peace, political stability, and steady economic growth for the past two decades. These achievements enabled the country to attain lower-middle-income status in 2015, inspiring the Royal Government of Cambodia to set an ambitious goal of transforming Cambodia into an upper-income economy by 2030 and a high-income economy by 2050. Within this context, the present article examines the issue of the middle-income trap in Cambodia, assessing whether and when the country can escape the middle-income trap, a phenomenon where countries stall in economic growth and struggle to adopt more advanced technology. Drawing on secondary data, particularly from the World Bank and the United Nations Development Programme, this analysis shows that Cambodia could become an upper-middle-income economy by 2033 if it can sustain an average annual growth rate of 6.36%. The analysis also indicates that to become a high-income economy, Cambodia will need to boost its annual growth rate of 8.42% for 18 years before it can achieve the high-income status by 2051. The article argues that to achieve these development goals, Cambodia must adopt a catch-up growth model, substantially invest in education, especially industry-oriented education, and establish stronger institutions. The article concludes with suggestions for future research into strategies that can enable Cambodia to escape the middle-income trap.
Read full articleExploration Students’ Perceptions of Artificial Intelligence as a Tool for Everyday Decision-Making
Abstract
This study explores students’ perceptions of the use of artificial intelligence (AI) in everyday decision-making, focusing on its perceived effectiveness, limitations, trustworthiness, and influence on independent thinking. The study employed a descriptive qualitative approach involving nine university students selected through purposive sampling. Data were collected through in-depth interviews supported by a structured open-ended questionnaire. The data were analyzed thematically to identify patterns in students’ experiences, levels of trust, critical evaluation practices, and reliance on AI-generated recommendations. The results reveal that students use AI for both academic activities and personal decisions, including financial management, product selection, clothing choices, and career considerations. While AI is perceived as a useful decision-support tool that helps organize information, compare alternatives, and reduce uncertainty, students demonstrate only moderate trust in its recommendations because of its contextual limitations, generic responses, and potential to generate inaccurate information. The findings also show that students retain control over their final decisions by verifying AI-generated information through additional sources, comparing recommendations with real-world circumstances, and consulting peers. However, some students acknowledge a tendency to rely on AI when facing minor cognitive difficulties, indicating a potential risk of cognitive dependency. Overall, AI functions primarily as a supplementary cognitive resource rather than a substitute for students’ independent judgement, although the balance between convenience and cognitive autonomy remains an important feature of their everyday decision-making experiences.
Read full articleEthics and Fraud Prevention in Public Sector Accounting: A Systematic Literature Review on the Role of Whistleblowing Systems and Internal Auditing
Abstract
This study aims to conduct a systematic literature review to analyze the effectiveness of ethics implementation, whistleblowing systems, and the role of internal auditing in fraud prevention within the public sector. This study employs a Systematic Literature Review (SLR) method adopting the PRISMA protocol to identify, select, and synthesize reputable scholarly journal articles published within the last five years (2021–2026). The literature synthesis reveals that compliance with professional ethics, the optimization of the internal audit function as an organizational defense line, and the establishment of a secure and credible whistleblowing system significantly contribute to detecting and deterring fraudulent activities in government agencies. The major findings of this study indicate that strengthening the synergy between independent internal oversight and an effective reporting mechanism is a crucial instrument in fostering clean and accountable public sector governance.
Read full articleUnmasking The Working Capital Paradox Amidst Indonesian Consumer Boycotts
Abstract
This study examines the impact of global consumer boycott sentiment on the fundamental financial performance of multinational retail companies in Indonesia. It employs quarterly secondary data from three IDX-listed food and beverage retailers (PT Fast Food Indonesia Tbk, PT Sarimelati Kencana Tbk, and PT Mitra Adiperkasa Tbk) for 2021–2024, producing 48 firm-quarter observations divided into pre-boycott and post-boycott periods. Liquidity (current ratio), profitability (return on assets), and operating cash flow are compared using the Shapiro-Wilk normality test, Paired Sample t-Tests, and Cohen’s D effect sizes. The results show that liquidity declined highly significantly (p < 0.01) for the two concentrated fast-food franchises, while the diversified conglomerate showed no significant change. Profitability fell on average in all three firms, but the decline was statistically significant only for one franchise. Average operating cash flow rose in all three firms, yet none of the increases was statistically significant. The findings of this study suggest that the boycott eroded liquidity and profitability in concentrated franchises, that portfolio diversification buffered the conglomerate, and that the apparent cash flow increases, attributed to inventory liquidation and other survival tactics, form a “Working Capital Paradox” that masks operational distress.
Read full articleListed but Not Traded: Concentration, Dormancy, and the Fading Liquidity of New Listings on the Indonesia Stock Exchange
Abstract
This study maps how trading is distributed across the listed universe of the Indonesia Stock Exchange and asks whether new listings stay tradable. Daily records for every listed stock are collected for the 474 trading days between October 2024 and September 2026, covering 908 stocks, 20,696 stock-months and IDR 7,435.6 trillion of trading value. Trading is extremely concentrated. The Gini coefficient of trading value across stocks is 0.8777, nineteen stocks account for half of all turnover, and the 200 most traded stocks account for 92.96 percent. At the other end, 385 stocks, or 42.40 percent of the list, together account for 0.78 percent of trading value, and 91 stocks trade less than IDR 100 million a day. Concentration does not ease over the period. The study then follows the 40 companies that listed inside the observation window. Their mean daily trading value falls from IDR 60.16 billion in the first quarter after listing to IDR 11.91 billion after eighteen months, and their quoted spread widens from 0.727 to 0.953 percent. Within the same stock, and controlling for market capitalisation and market conditions, trading value declines by 10.15 percent a month, which compounds to 72.31 percent over a year. Adding listings has expanded the count of the market without expanding its tradable depth.
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