Article
Mathematics
Iwan Bos
Summary: This note proposes a novel industry concentration measure that takes into account the heterogeneity of buyers in their ability or willingness to switch supplier. The index increases with the share of captive sales, coincides with the Hirschman-Herfindahl Index when none of the buyers are captive, and takes the maximum value of 1 when all buyers are captive.
Article
Computer Science, Interdisciplinary Applications
Viviana Fernandez
Summary: This article examines the cross-country distribution of mining patent families from 1970 to 2018 and analyzes the concentration and influencing factors of mining patent families. It is found that only a few countries contribute to the majority of mining inventions, and the composition of these countries remains relatively stable. Additionally, countries specializing in mining technologies may not necessarily have a high share of mining inventions.
Article
Education & Educational Research
Dawn Richards Elliott, Zackary B. Hawley, Jonathan C. Rork
Summary: This article discusses the efforts of higher education institutions in promoting racial diversity and proposes an expected diversity measure to better monitor progress towards achieving racial diversity goals.
JOURNAL OF DIVERSITY IN HIGHER EDUCATION
(2022)
Article
Management
P. Dorian Owen, Caitlin A. Owen
Summary: This paper examines the effects of changes in season length on competitive balance measures and proposes a more robust measurement method.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Letter
Computer Science, Interdisciplinary Applications
Frode Eika Sandnes
Summary: Research productivity metrics designed for international and national comparison may not be suitable for young universities with short research traditions. Instead, a ratio of participation is proposed as a more effective evaluation metric for smaller groups of researchers, such as departments. This metric, exemplified using publication data from Norway, is simple and understandable, making it potentially valuable for young universities strategically improving their research capabilities.
Article
Economics
Faris Alshubiri
Summary: This study measured the impact of financial competition and concentration on the structure of financial performance indicators in the financial sector of Oman, finding that LRI, PRM, and HHI all have significant effects. The results can assist decision makers in developing a regulatory framework tailored to creating an incentive-compatible environment and fine-tuning market concentration and competition levels.
ECONOMIC CHANGE AND RESTRUCTURING
(2022)
Article
Mathematics
Nurun Najwa Bahari, Paul Expert, Fatimah Abdul Razak
Summary: This article utilizes social network analysis and genre diversity measure to assess the quality and capability of actors in the Malay language film industry. A dataset of 180 Malay films released from 2015 to 2020 was collected to build an actor network. The quality of actors was quantified using measures such as number of films, centrality, and genre diversity. The findings suggest that actors with high film numbers and centrality are popular, while those with high betweenness centrality serve as important connectors between different genres in the network. The genre diversity measure highlights an actor's versatility. The article also calculated the average shortest path in the network to identify the "Kevin Bacon" of the Malay language film actor network. The overall importance of genre diversity for actors is emphasized. Evaluation: 8 out of 10.
Article
Physics, Multidisciplinary
Peng Chen, Mingze Qi, Xin Lu, Xiaojun Duan, Jurgen Kurths
Summary: The study developed a risk indicator of epidemic outbreaks, the generalized Herfindahl-Hirschman index (GHI), and an immunization approach based on minimizing GHI to reduce infection risk. The results showed that this strategy effectively decreased infection's prevalence, especially against diseases with higher infection rates or lower recovery rates.
NEW JOURNAL OF PHYSICS
(2021)
Article
Operations Research & Management Science
Emilios Galariotis, Kyriaki Kosmidou, Dimitrios Kousenidis, Eirini Lazaridou, Trifon Papapanagiotou
Summary: This paper examines the effects of M&As on European banking efficiency levels, finding that the capital adequacy ratio and non-performing loans significantly impact DEA scores, and revealing past effects on performance. It also highlights how technical efficiency levels are positively influenced by the growth perspective of the origin countries, regardless of the number of M&As involved.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Hospitality, Leisure, Sport & Tourism
Yi-Ting Peng, Behnaz Saboori, Omid Ranjbar, Muhlis Can
Summary: This study investigates the impact of tourism market diversification on CO2 emissions for the first time and finds that it has a pro-emissions effect in the long run for Australia.
CURRENT ISSUES IN TOURISM
(2023)
Article
Economics
Eun Kang, Ryumi Kim
Summary: This study examines the impact of product market competition on firms' dividend policies by dividing them into high dividend and low dividend groups. It found that in more competitive markets, high dividend firms pay more dividends, while low dividend firms pay less. Furthermore, the importance of dividend reputation is emphasized, with firms having a reputation paying higher dividends.
Article
Economics
Iichiro Uesugi, Kazuki Hiraga, Masashi Manabe, Naoyuki Yoshino
Summary: This study is the first to comprehensively calculate the concentration level in regional banking markets in Japan using the loan and deposit balances of financial institutions. The study reveals differences in concentration levels across regions and how they have changed over time. It also analyzes the factors contributing to concentration levels, including the number of financial institutions and the variation in their market shares. The study further investigates the impact of financial institution mergers on concentration levels and their duration. The main findings suggest that concentration levels have increased over time, particularly in large metropolitan areas. The increase is attributed not only to the reduction in the number of financial institutions but also to the growing variation in their market shares. Additionally, the duration of concentration level increases resulting from mergers tends to be shorter in regions with low market concentration.
JAPAN AND THE WORLD ECONOMY
(2022)
Article
Thermodynamics
Mattia De Rosa, Kenneth Gainsford, Fabiano Pallonetto, Donal P. Finn
Summary: Energy security assessment is an important aspect of national security, economic stability, and prosperity, which quantifies the energy supply and the risk of energy disruption or shortage. This paper investigates the energy supply diversification in Europe and analyzes import dependence, market concentration, and renewable energy deployment. The results show a stable evolution of fuel mix diversity and a relatively low market concentration. However, high import dependency reduces energy security, and there is an increasing trend in renewable electricity production share.
Article
Management
Antonio Avila-Cano, P. Dorian Owen, Francisco Triguero-Ruiz
Summary: This research examines the impact of scoring methods on within-season competitive balance in rugby matches, finding that the introduction of bonus points has improved competitive balance. However, due to limited data on bonus points, it is not possible to establish a causal link between concentration index and bonus points.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Statistics & Probability
Atif Evren, Elif Tuna, Erhan Ustaoglu, Busra Sahin
Summary: This study proposes two new dominance indices and formulates the limiting distributions of these indices, analyzing their asymptotic behaviors through simulations. By applying the study to Turkish car sales in 2019, it is determined that one of the dominance indices has a significant advantage.
JOURNAL OF APPLIED STATISTICS
(2021)
Article
Computer Science, Information Systems
Naveen Amblee, Rahat Ullah, Wonjoon Kim
JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE
(2017)
Review
Green & Sustainable Science & Technology
Daehyun Kim, Namil Kim, Wonjoon Kim
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2018)
Article
Computer Science, Information Systems
Kibae Kim, Jorn Altmann, Wonjoon Kim
INFORMATION & MANAGEMENT
(2019)
Correction
Computer Science, Information Systems
Kibae Kim, Jorn Altmann, Wonjoon Kim
INFORMATION & MANAGEMENT
(2020)
Article
Economics
Junyoung Hong, Wonjoon Kim
Summary: The private value of patents varies across countries due to different patent protection systems and business environments. A new approach is suggested to estimate the perceived private value of patents by considering trade scales in various countries. Regardless of the level of patent protection, changes in the strategic business value of patents play a key role in determining the value of patents in different countries.
APPLIED ECONOMICS LETTERS
(2022)
Article
Economics
Taekyun Kim, Wonjoon Kim
Summary: The study shows that there is a mutual learning relationship between early and late entrants during technological shifts. Late entrants learn basic technology from early entrants, while early entrants learn applied technology from late entrants.
APPLIED ECONOMICS LETTERS
(2023)
Article
Economics
Jeongbong Han, Daehyun Kim, Wonjoon Kim, Sunghyun Cho
Summary: This study explores the connection between a founder's occupational background and the survival rate of technology-based startups, with a focus on founders who have previous experience in research positions. By utilizing a unique database of tech-based startups, the study finds that startups founded by researchers have a lower survival rate compared to those led by founders from other backgrounds. However, prior entrepreneurial experience positively affects the relationship between a founder's research experience and startup survival rate, indicating that practical business knowledge can compensate for the lack of business expertise in a researcher's background. Additionally, the study reveals that startups established by researchers from large companies have an even lower survival rate due to constraints in acquiring essential management skills within the specialization of large organizations. These findings highlight the significance of cultivating a diverse skill set for startup success.
APPLIED ECONOMICS LETTERS
(2023)
Article
Public Administration
Yoonjung Jung, Euiseok Kim, Wonjoon Kim
Summary: This study investigates the development of interdisciplinary research (IDR) in various scientific disciplines and its relationship with R&D performance using network analysis of papers and patents from government research institutes in South Korea's Daedeok Innopolis. The findings show that IDR has increased over time across disciplines and research institutes, and higher interdisciplinarity in scientific publications and patents is significantly correlated with higher R&D performance.
Article
Economics
Jikyoung Kim, Wonjoon Kim
APPLIED ECONOMICS LETTERS
(2020)
Article
Business
Wonjoon Kim, Sungjin Min
ASIAN JOURNAL OF TECHNOLOGY INNOVATION
(2020)
Article
Economics
Sukwoong Choi, Namil Kim, Wonjoon Kim
APPLIED ECONOMICS LETTERS
(2019)
Article
Business
Kiho Kwak, Wonjoon Kim, Kyungbae Park
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2018)
Article
Information Science & Library Science
Namil Kim, Wonjoon Kim
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2018)
Article
Economics
Jaewon Yoo, Hyunsik Park, Wonjoon Kim
APPLIED ECONOMICS LETTERS
(2018)
Article
Business
Kiho Kwak, Wonjoon Kim, Karpsoo Kim
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2018)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.