TY - JOUR AU - Shim, H. TI - Nash Equilibrium Analysis of the Public Supercomputing Duopoly Ecosystem JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 58 PY - 2024 IS - 2 SP - 314 EP - 326 PG - 13 SN - 0424-267X DO - 10.24818/18423264/58.2.24.19 UR - https://m2.mtmt.hu/api/publication/35164599 ID - 35164599 N1 - Export Date: 9 August 2024 Correspondence Address: Shim, H.; National Supercomputer Center, South Korea; email: shw@kisti.re.kr AB - The supercomputing industry has been leveraging individual supercomputers owned by many countries and organisations in communal systems in response to the rapid influx of AI computing demand. Using Korea as a case study, we conducted a Nash equilibrium analysis to develop an effective promotion strategy for the industry, which has transitioned from a single national centre system to a dual system that includes specialised centres. The analysis resulted in the derivation of the demand function for the duopoly market and the calculation of the Nash equilibrium points of the response curve for each centre. In the duopoly market, it was discovered that for effective operation of each centre, the total demand, usage fees, new inflow demand, and demand-sharing ratio for each centre must be taken into consideration. © 2024 The Authors. LA - English DB - MTMT ER - TY - JOUR AU - Kim, Hongjoong AU - Moon, Kyoung-Sook TI - Optimal Data Construction in Supervised Machine Learning for Financial Prediction JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 58 PY - 2024 IS - 1 SP - 5 EP - 20 PG - 16 SN - 0424-267X DO - 10.24818/18423264/58.1.24.01 UR - https://m2.mtmt.hu/api/publication/34988305 ID - 34988305 LA - English DB - MTMT ER - TY - JOUR AU - Martina, PAVLAČKOVÁ AU - Ondřej, PAVLAČKA AU - Tereza, HORČIČKOVÁ TI - A FUZZY GROUP DECISION-MAKING MODEL FOR MEASUREMENT OF COMPANIES' PERFORMANCE JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 2 PY - 2023 IS - 57 SP - 119 EP - 134 PG - 16 SN - 0424-267X UR - https://m2.mtmt.hu/api/publication/34037156 ID - 34037156 LA - English DB - MTMT ER - TY - JOUR AU - Constatinescu, Mihaela AU - Florescu, Margareta Stela AU - Caescu, Stefan-Claudiu AU - Acatrinei, Carmen AU - Orindaru, Andree AU - Ciuca, Andrei Relu TI - FACTORS INFLUENCING THE PERCEPTION OF ACADEMIC RESEARCHERS ON ETHICS IN MARKETING RESEARCH AND ITS IMPACT ON OPEN SCIENCE ACCEPTANCE JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 57 PY - 2023 IS - 4 SP - 57 EP - 74 PG - 18 SN - 0424-267X UR - https://m2.mtmt.hu/api/publication/34666541 ID - 34666541 LA - English DB - MTMT ER - TY - JOUR AU - Grigore, George-Eduard AU - Musetescu, Radu-Cristian AU - Nicolae, Simona AU - Vladut, Oana AU - Ionescu, Adriana-Mihaela TI - THE INTERPLAY BETWEEN NATURAL GAS CONSUMPTION, OIL CONSUMPTION, AND ECONOMIC GROWTH: AN EMPIRICAL EVIDENCE JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 57 PY - 2023 IS - 4 PG - 18 SN - 0424-267X UR - https://m2.mtmt.hu/api/publication/34650076 ID - 34650076 LA - English DB - MTMT ER - TY - JOUR AU - Dumitru, MIRON AU - Ion, PANESCU TI - Inflation and Main Determining Factors in Non-Euro CEE Countries during the Period 2020-2022. An Empirical Analysis JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 57 PY - 2023 IS - 3/2023 SP - 235 EP - 250 PG - 16 SN - 0424-267X DO - 10.24818/18423264/57.3.23.14 UR - https://m2.mtmt.hu/api/publication/34153500 ID - 34153500 LA - English DB - MTMT ER - TY - JOUR AU - Chanpa, R. AU - Jamali, M.A.J. AU - Hatamlou, A. AU - Anari, B. TI - CLUSTER HEAD SELECTION ALGORITHM ON THE BASIS OF MASS DEFENSE OF BEES IN IOT JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 57 PY - 2023 IS - 3 SP - 187 EP - 202 PG - 16 SN - 0424-267X DO - 10.24818/18423264/57.3.23.11 UR - https://m2.mtmt.hu/api/publication/34181133 ID - 34181133 N1 - Department of Computer Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran Department of Computer Engineering, Khoy Branch, Islamic Azad University, Khoy, Iran Export Date: 8 October 2023 Correspondence Address: Jamali, M.A.J.; Department of Computer Engineering, Iran; email: m_jamali@itrc.ac.ir AB - Clustering is one of the methods which bring about efficiency boost, energy reduction, and longevity in Internet of Things (IoT). One of the key challenges in IoT clustering is optimal cluster head selection. Unintelligent selection and improper distribution of cluster head selection are critical problems rooted in the random nature of classical methods. Thereupon, meta-heuristic methods are used to solve such problems. The present study presents a new clustering method as well as an optimal cluster head selection applying the Mass Defense of Bees algorithm. This method simulates honey bees’ behaviour in fighting against the red bee invader, defending a hive, detecting the invader, resistance against the invader and displaying coordination performance. The proposed method achieves the optimal head selection through fitness function introduction. Compared to PSO and leach methods, the proposed simulation method demonstrates the IoT network clustering, around 9.45% energy improvement and 13.2% residual energy development, respectively. © 2023, Bucharest University of Economic Studies. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Xu, Guangye AU - Weng, Xinlan AU - Dan, Bin AU - Duan, Huawei TI - HEDGING STRATEGIES OF SUPPLY CHAIN UNDER RISK AVERSION JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 57 PY - 2023 IS - 1 SP - 73 EP - 88 PG - 16 SN - 0424-267X DO - 10.24818/18423264/57.1.23.05 UR - https://m2.mtmt.hu/api/publication/33954942 ID - 33954942 AB - This study investigates the effects of risk aversion factors and opportunity cost on the hedging decisions of supply chain members. We develop a two-stage model consisting of a risk-averse manufacturer and an equally risk -averse retailer. We consider four strategies from the perspective of the supply chain as a whole, where neither side hedges (NN), only the supplier hedges (HN), only the manufacturer hedges (NH), and both sides hedge (HH). Then, we applied the mean-variance model and solved and compared the four strategies using the inverse solving method. The results show that the hedging strategies among the supply chain members are consistent. When both parties have high-risk aversion and opportunity cost, both parties choose to hedge the risk; when both parties have a low-risk aversion, the party with lower opportunity cost should choose to hedge. LA - English DB - MTMT ER - TY - JOUR AU - Strat, V.A. AU - Grosu, F.S. AU - Murafa, C. AU - Chicu, N. AU - Zgura, I.D. TI - IS CORPORATE ENVIRONMENTAL RESPONSIBILITY A MEANINGFUL FACTOR FOR ROMANIAN CONSUMERS? JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 56 PY - 2022 IS - 4 SP - 55 EP - 70 PG - 16 SN - 0424-267X DO - 10.24818/18423264/56.4.22.04 UR - https://m2.mtmt.hu/api/publication/33789812 ID - 33789812 N1 - Department of Statistics and Econometrics, The Bucharest University of Economic Studies, Romania The Bucharest University of Economic Studies, Romania Export Date: 3 May 2023 AB - The article explores Romanian customers' perceptions and behavior regarding enterprises' involvement in sustainability-related processes and actions geared towards climate action. Based on the 2 hypotheses outlined by the authors, the study uses a hierarchical clustering methodology having a sample of 1002 consumer data points collected at the national level. The authors grouped Romanian counties into 5 clusters by addressing 4 dimensions and 11 individual items on socio-economic characteristics such as: Economic development, education and culture, health and infrastructure. The main results showed that companies are being perceived by citizens from all development clusters as bearing the highest responsibility for the wellbeing of the planet, yet their green messages have the highest appeal in clusters with higher general development levels. However, surprisingly, from a double materiality viewpoint, corporations' good influence on the environment and society appears to be rewarded the most by customers with relatively little socio-economic capital - the biggest number of consumers who use their wallets to reward corporate sustainability are the ones with low socioeconomic development. © 2022, Bucharest University of Economic Studies. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - WENJIE, LU AU - JIAZHENG, LI AU - JINGYANG, WANG AU - SHAOWEN, WU TI - A Novel Model for Stock Closing Price Prediction Using CNN-Attention-GRU-Attention JF - ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH J2 - ECON COMPUT ECON CYB VL - 56 PY - 2022 IS - 3/2022 SP - 251 EP - 264 PG - 14 SN - 0424-267X DO - 10.24818/18423264/56.3.22.16 UR - https://m2.mtmt.hu/api/publication/33253496 ID - 33253496 LA - English DB - MTMT ER -