Johnny Chandra
Sekolah Tinggi Ilmu Ekonomi Eka Prasetya, Indonesia

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The Impact of Perfect Competition Market Structure on Firm Performance in the Coffee Culinary Industry Johnny Chandra; Farah Fitria Ramadhani; Rahmat Dinul Paqi; Muh. Rafli Ramadhan
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 2 No 3 (2024): Volume 2, Issue 3, September 2024
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v2i3.373

Abstract

This study examines the influence of perfect competition market structure on firm performance within the coffee culinary industry. A qualitative approach was employed, utilizing data collection methods such as surveys, interviews, observations, and documentation involving key stakeholders in the culinary business. The findings reveal that the coffee industry in Makassar, specifically exemplified by Kopi Break, operates within a perfect competition market structure. In the short run, market equilibrium is demonstrated by the balance between supply and demand at Kopi Break. The study highlights that one effective method for analyzing short-term market equilibrium involves assessing the impact of shifts in the supply curve on market balance. Additionally, it was found that the market structure in the culinary industry is heavily influenced by the behavior and strategic decisions of firms. This research provides valuable insights into how perfect competition conditions affect business performance and decision-making within the coffee culinary industry, emphasizing the importance of firm behavior in maintaining market equilibrium.
The Role of Artificial Intelligence in Financial Risk Management in Fintech Companies Siska Yuli Anita; Irsyad Kamal; Loso Judijanto; Johnny Chandra; Rizal Perlambang C NAWP
Journal of Economic Education and Entrepreneurship Studies Vol. 6 No. 1 (2025)
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

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Abstract

This study aims to examine the impact of the application of Artificial Intelligence (AI) in financial risk management in FinTech companies. With the increasing reliance on technology, AI has great potential in managing various types of risks, such as credit, market and liquidity risks. This study uses a quai-experimental approach by comparing two groups of companies, namely companies that use that do not use AI. The data collected included the level of non-performing (NPLs), market value fluctuations, and liquidity stability, which were analyzed using t-test and ANOVA to identify significant differences between the two groups. The results showed that companies that implemented AI experienced a significant decrease in bad debt rates, more manageable market values fluctuations, and improved liquidity stability. However, the main challenges faced in implementing AI include limited quality data technological comnpetency, and regulatory compliance. Overall, this study reveals that the application of AI can improve the effetiveness of financial risk management in FinTech firms, but requires investment in employee training, technological infrastructure development, and attentionto regulatory aspects to maximize the benefits.