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4 Result(s) for 'Fu-Hsiang Kuo'
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1.
Evaluation of the Operational Efficiency of Selected Senior and Vocational High Schools in Taiwan with DEA Meta-Frontier Approach: A Managerial Perspective
Hsiang-Hsi Liu, Fu-Hsiang Kuo
Journal of Business and Management Sciences. 2020 8 (2). doi: 10.12691/jbms-8-2-5
Keywords: operational efficiency, technology gap ratio, Data Envelopment Analysis (DEA), DEA meta-frontier model, senior and vocational high school
Context: This study aims to evaluate and compare the operational efficiency and technology gap of selected senior and vocational high schools in Taiwan under different teaching and learning levels based on the DEA meta-frontier approach. The empirical results show that these two types of high schools have different technology gap ratios (TGRs) or meta-technology ratios (MTRs). We also perform a statistical test to examine the evidence that there is a significant difference in the operating performance of these two types of schools and result shows evidence that the different operational performance of senior and vocational high schools is due to different characteristics/attributes. Regarding TGRs or MTRs, senior high schools outperform vocational high schools. A relatively low average TGRs or MTRs of vocational high schools mean that the existing technology in vocational high schools are not near the frontier of meta-technology and that there is more room for improvement in management skills or operational processes. These findings can also provide a reference for educational agencies or high schools when formulating policies and strategies on the efficiency of school operations.
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2.
Assessing the Operational Performance of the Transformation AI Industry in Taiwan - Critical Factors for the Transition
Tsung-Chun Chen, Fu-Hsiang Kuo
Journal of Business and Management Sciences. 2021 9 (1). doi: 10.12691/jbms-9-1-6
Keywords: data envelopment analysis, artificial intelligence, operating efficiency, data mining methodology
Context: This research that by estimating the companies of the technical efficiency (TE) and the results of the data mining methodology (DMM), explaining find company efficiency and the companies characteristics. First, we will apply a Data Envelopment Analysis (DEA) analysis model to assess Taiwan companies' operational efficiency. Then, we will use a big data model to identify critical factors for a sustainability transition. (1) In this study, we found that a total of four companies—Hon hai, Ares, Yulon, and Micro-stra—successfully transformed steps (TE = 1). (2) According to the results of the above DMM model. Thus, were the companies able to make good on the promise of AI. We demonstrated the need for more AI talent to transform their steps and increase RD spending successfully. Due to reduced labor costs, the EFA was reduced, and NBR and EPS increased significantly after the transition. So, these critical factors will help the enterprise to transfer its AI industry operation type successfully. Further, we discover that AI can be applicable to save employment and increase its short-term profit.
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3.
Major Factors Affecting Shanghai Shipping Freight Rates during the Covid-19 Pandemic: Inspecting and Ranking by Grey Relational Analysis
Hsiang-Hsi Liu, Fu-Hsiang Kuo , Guan-Ting Liu
Journal of Finance and Economics. 2024 12 (2). doi: 10.12691/jfe-12-2-2
Keywords: COVID-19 epidemic, Shipping freight rates, Grey relational analysis (GRA)
Context: This study aims to GRA (Grey relational analysis) method to analyze the factors that affect Shanghai shipping rates(∆SCFI) and which factors will play a key role under the impact of COVID-19 epidemic outbreak. GRA method can analyze the weight relationship between factors and their attributes to explore the factors that affect the shipping rates. We find that the change rate of the main route's on-time rates of receiving and dispatching scheduled services (∆OTRADSCI) affects the change rate of Shanghai shipping freight rates the strongest, followed by the change rate of the main route's on-time arrival and departure service rates (∆OTRRSRCI) and the change rate of China export container freight rates (∆CCF). Subsequently, the change rate of China international seafarer salary (∆CISSI), the change rate of China senior seafarer salary (∆CSSSI) and the change rate of China ordinary seafarer salary (∆COSSI) gave the strong influence to the Shanghai shipping freight rates. While, the change rate of Shanghai port container handling volumes (or throughput) (∆SPCV) gave the least effect to the Shanghai shipping freight rates during the COVID-19 pandemic in 2019-2020. It is hoped that these findings can help policy makers in making decisions on port management/operations and future port development.
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4.
Adaptive Governance and Management of Telecom and Online Fraud: Evidence from Taiwan
Fu-Hsiang Kuo , Mei-Mei Lin
Journal of Business and Management Sciences. 2026 14 (2). doi: 10.12691/jbms-14-2-1
Keywords: Telecommunication fraud, online fraud, fraud networks, criminal role structure, anti-fraud strategies
Context: This study conducts a longitudinal analysis of telecommunication and online fraud in Taiwan from 2022 to 2025, examining the evolution of crime structure, the improvement of judicial efficiency, and the adaptability of governance strategies. The findings indicate a three-stage transformation in offender roles: initially relying on identity accounts as the operational foundation; shifting to direct perpetrators as account controls intensified; and, more recently, exhibiting a “displacement effect” toward cashiers and money laundering agents under enforcement pressure, reflecting the high adaptability of criminal networks. With respect to judicial efficiency, the study uses the average convictions per case (ACPC) as an indicator, revealing a sustained increase in conviction momentum, which reflects the enhanced effectiveness of the judicial system in investigating, prosecuting, and adjudicating complex cases. Finally, in alignment with the United Nations Sustainable Development Goals, this study proposes policy recommendations to strengthen financial integrity, enhance the resilience of digital infrastructure, and improve institutional governance capacity to address the continuously evolving nature of fraud.
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