• The Science & Technology
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• s.477
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• pp.32-35
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• 2009

• Korea Petroleum Association Journal
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• s.272
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• pp.22-27
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• 2009

• The tire
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• s.230
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• pp.27-27
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• 2007

• Korea Petroleum Association Journal
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• s.289
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• pp.18-21
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• 2013

• Journal of Environmental Policy
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• v.14 no.4
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• pp.23-44
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• 2015

The policy aimed at introducing a Bonus-Malus system to reduce GHG and raise the market share of small cars is scheduled to go into effect in South Korea in 2020. Although the policy was originally planned to be enforced from 2015, the Ministry of Trade, Industry and Energy argued that the system brings low reduction effect and relative disadvantage to domestic small cars and brought arguments in 2014. As a result, the enforcement was pushed back. Related studies are mainly focused on offering statistical estimation of the policy's effect to support the arguments, and few theoretical studies were published given that there was not enough time until 2015 back then. The author approached the issue with mathematical modeling in order to give theoretical basis for sophisticated empirical studies. If car suppliers have market power and strategically set their prices, the impact of Bouns-Malus on car prices would be lower than what was originally intended. In case only a part of the car market loses its market power, the effect of the policy would be improved. Assume that the Bonus-Malus is currently at an optimal level and the car market structure is undergoing changes, then the direction of the new optimal level would depend on the elasticity of demand of each market and substitute elasticity. For example, if the car market becomes more monopolistic while the demand for big cars is elastic, demand for small cars is inelastic and substitution elasticity is low, then the new optimal level of Bonus-Malus should be higher.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.217-245
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• 2016

The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.

• Journal of the Korea Society for Simulation
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• v.20 no.2
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• pp.29-40
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• 2011

This paper focuses on the sensitivity analysis for the calibration of an agent-based simulation that analyzes the brand-level diffusion dynamics of competing products in the domestic premium mid-sized car market. In this paper, we employ a consumer-agent model that imitates the purchasing characteristics and behaviors of the consumers. The group of consumer agents that are socially interconnected represents a virtual market. By spreading the product information from previous adopters to potential consumer agents in the virtual market, the word-of-mouth phenomenon emerges like in the real market. The phenomenon influences the product choice of potential consumer agents that causes the variation of the product diffusion dynamics. In this simulation model, it is important to calibrate the virtual market parameters(e.g., ratio of innovators, social network structure, purchase time decision method) so that the virtual market can simulate the real market. However, it is difficult to measure these parameters directly from the real market. In this paper, we analyze the diffusion dynamics of simulations under various conditions in comparison with real sales data to calibrate the parameters.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.539-549
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• 2024

This study employed text mining techniques like frequency analysis, word clouds, and LDA topic modeling to assess consumer satisfaction and dissatisfaction with Hyundai Motor Company in the Chinese market, compared to brands such as Toyota, Volkswagen, Buick, and Geely. Focusing on compact vehicles from these brands between 2021 and 2023, this study analyzed customer reviews. The results indicated Hyundai Avante's positive factors, including a long wheelbase. However, it also highlighted dissatisfaction aspects like Manipulate, engine performance, trunk space, chassis and suspension, safety features, quantity and brand of audio speakers, music membership service, separation band, screen reflection, CarLife, and map services. Addressing these issues could significantly enhance Hyundai's competitiveness in the Chinese market. Previous studies mainly focused on literature research and surveys, which only revealed consumer perceptions limited to the variables set by the researchers. This study, through text mining and comparing various car brands, aims to gain a deeper understanding of market trends and consumer preferences, providing useful information for marketing strategies of Hyundai and other brands in the Chinese market.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2016.11a
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• pp.125.2-125.2
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• 2016

마그네슘 판재는 많은 연구자들에 의해 합금, 성형성, 표면처리성의 진보로 인해, IT 부품 및 자동차 부품화에 성공하고 있다. 그러나, 아직도, 자동차 부품으로의 양산화 실적은 매우 열약하고, 수만대급의 자동차 시장 진입을 위해서는, 개발해야할 기술이 많다. 본 연구 발표에서는, Mg 자동차 부품 양산화를 위해서 현재의 표면처리 상태를 되짚어보고, 앞으로 개발이 되어야할 기술들에 대해 소개함으로써, Mg 판재의 자동차 부품화에 있어서 표면처리 기술 개발의 중요성에 대해 소개하고자 한다.

• LOGISTICS
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• v.1 no.1 s.1
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• pp.35-44
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• 2003

전국화물자동차운송사업연합회는 지난 7월 30일 전경련회관 3층 대회의실에서 화물운송 관계전문가 250여명이 참석한 가운데 화물자동차운송산업의 선진화를 위한 토론회를 가졌다. 이날 토론회에서는 화물자동차운송산업의 선진화를 위해 현 화물운송업계의 시장진입제도를 개선하고 규모의 경제실현을 통한 생산성 향상을 위해서 규모화를 유도해야한다는 의견이 제시되는 등 다양한 논의가 이뤄졌다. 본지는 이날 주제 발표로 나선 전국화물자동차 공제조합 부설연구소 임종길 박사가 발표한 내용의 핵심인 ''화물자동차운송산업의 10대 선진화 전략''에 대해 요약 정리해 게재한다.