Accounting for Climate Risk: AI Simulation of Financial Implications from Corporate Environmental Initiatives

SSRN Electronic Journal · 2025-01-01

Designing Efficient and Equitable Freight Services Markets for Sustainable Economic Performance

American Business Review · 2024-05-01

Despite the indispensability of freight trucking services and truckers’ role as critical stakeholders in supply chains, relatively little attention has been paid to analyzing small independent truckers’ roles. Shippers often prefer working with larger trucking companies to the detriment of smaller independent truckers, who must grapple with an inherently disadvantageous job market. Furthermore, in the presence of uncertainty or peak demand periods, trucker shortages can pose significant economic challenges for shippers and downstream customers. In this paper, we propose an analytical framework to address these challenges in efforts to enhance the sustainability of the freight service industry. We formulate and solve a weighted bi-objective optimization model that simultaneously maximizes the total profits of both shippers and truckers to design a sustainable freight services market. Further, we leverage Monte Carlo simulation trials to examine how all players in this market can achieve a better solution under uncertainty. Ultimately, after evaluating multiple scenarios, we find that shippers and truckers yield the highest economic benefits under a balanced design that leverages principles of supply chain coordination, while satisfying all demand from shippers. This framework can serve as a decision support tool for policymakers who aim to ensure all stakeholders in the market can become and remain profitable. Based on our findings, this study suggests practical implications on how to consider humanitarian policies aimed at promoting equity for truckers and ensuring the timely shipment of essential products for both shippers and truckers.

The determinants of online matching platforms for freight services

Transportation Research Part E Logistics and Transportation Review · 2023-09-28 · 23 citations

Multi-armed Bandit-Based Rate Control with Logarithmic Rates in CSMA/CA Wireless Networks

Lecture notes in electrical engineering · 2023-01-01 · 2 citations

Use of Logarithmic Rates in Multi-Armed Bandit-Based Transmission Rate Control Embracing Frame Aggregations in Wireless Networks

Applied Sciences · 2023-07-22 · 3 citations

Herein, we propose the use of the logarithmic values of data transmission rates for multi-armed bandit (MAB) algorithms that adjust the modulation and coding scheme (MCS) levels of data packets in carrier-sensing multiple access/collision avoidance (CSMA/CA) wireless networks. We argue that the utilities of the data transmission rates of the MCS levels may not be proportional to their nominal values and suggest using their logarithmic values instead of directly using their data transmission rates when MAB algorithms compute the expected throughputs of the MCS levels. To demonstrate the effectiveness of the proposal, we introduce two MAB algorithms that adopt the logarithmic rates of the transmission rates. The proposed MAB algorithms also support frame aggregations available in wireless network standards that aim for a high throughput. In addition, the proposed MAB algorithms use a sliding window over time to adapt to rapidly changing wireless channel environments. To evaluate the performance of the proposed MAB algorithms, we used the event-driven network simulator, ns-3. We evaluated their performance using various scenarios of stationary and non-stationary wireless network environments including multiple spatial streams and frame aggregations. The experiment results show that the proposed MAB algorithms outperform the MAB algorithms that do not adopt the logarithmic transmission rates in both the stationary and non-stationary scenarios.

Explainable Artificial Intelligence (XAI) in auditing

International Journal of Accounting Information Systems · 2022 · 140 citations

• Computer Science
• Artificial Intelligence
• Computer Science

The moderating role of approach-avoidance motivation in a relationship between school-belonging and college adaptation of university students who experienced the online-semester with COVID-19

Korean Association For Learner-Centered Curriculum And Instruction · 2021-12-15 · 1 citations

목적 본 연구에서는 COVID-19 상황에서 비대면 학기를 경험하는 대학생의 학교소속감과 대학생활적응의 관계에서 접근-회피동기의 조절효과를 알아보고자 하였다. 방법 이를 위하여 비대면 학기를 경험한 대학생 189명을 대상으로 2020년 7월 28일부터 8월 6일까지 온라인 설문조사를 실시한 뒤, Pearson 적률상관분석과 위계적 다중회귀분석, F검증을 실시하여 변인 간 관계 파악 및 접근-회피동기의 조절효과를 분석하였다. t-검증을 통해 수업운영형태에 따른 변인 간 차이를 살펴보았다. 결과 첫째, 접근 동기는 학교소속감과 대학생활적응의 각 하위변인 모두와 정적상관, 학교거부감과는 부적상관이 있는 것으로 나타났다. 회피 동기는 학교거부감과는 정적상관이 있는 것으로 나타났으나 학업적응, 사회적응, 개인정서적응과는 부적상관이 있는 것으로 나타났다. 둘째, 대학생의 접근 동기는 학교거부감과 학업적응간의 관계를 부적으로 조절해주는 것으로 확인되었으나, 학교소속감과 사회적응, 개인정서적응, 대학환경적응 간의 관계에서는 정적으로 조절해주는 것으로 확인되었다. 셋째, 수업운영형태에 따라 연구 변인별 평균 비교를 실시한 결과 대학환경적응에서 비대면 수업집단이 혼합집단에 비해 통계적으로 유의하게 높은 평균을 나타냈다. 결론 이를 바탕으로 대학생이 지각하는 학교소속감 및 대학생활적응 어려움과 관련하여 개인의 대인동기양상을 살펴볼 수 있는 상담적 개입방안의 필요성을 제시하고, 개인이 지각하는 소속감 혹은 거부감에 따른 접근 동기의 양면적 특성을 고려하는 상담적 개입방안의 필요성을 논의하였다.

Reinforcement Learning for Rate Adaptation in CSMA/CA Wireless Networks

Lecture notes in electrical engineering · 2021 · 15 citations

• Computer Science
• Computer Science
• Computer network

Explainable Artificial Intelligence (XAI) in Auditing: A Framework and Research Needs

SSRN Electronic Journal · 2021-01-01 · 3 citations

Identifying Informative Audit Quality Indicators (IAQI) Using Machine Learning

SSRN Electronic Journal · 2021-01-01 · 1 citations