• 제목/요약/키워드: competition model

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모바일 퍼즐 SNG 순위경쟁상황에서 플레이어의 사회비교가 경쟁심과 도전감에 미치는 영향 - 자기평가유지모형을 중심으로 - (A Study on How Social Comparison Between Players on Mobile Puzzle SNG When Competeing on leaderboard, Affect the Competition and Chllenge - Focused on Self-Evaluation maintenance model -)

  • 김재현;최서윤;김현석
    • 한국HCI학회논문지
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    • 제13권3호
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    • pp.5-15
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    • 2018
  • 소셜네트워크게임(Social Network Game, 이하 SNG)의 가장 큰 특징은 SNS의 사회관계망을 바탕으로 실제로 알고 있는 지인들과의 경쟁과 협력을 통해 게임플레이가 진행된다는 점에 있다. 그러나 기존 게임분야 연구에서 경쟁과 도전감이 게임 몰입 등에 영향을 미치는 선행요인으로써 중요하게 다루어져 왔음에도 불구하고 SNG에서 이루어지는 지인 간 순위경쟁의 특성을 고려한 깊이 있는 연구는 부족한 실정이다. 더불어 SNG에서는 지인들이 경쟁의 대상인 동시에 도전의 대상이 될 수 있다는 점을 고려하지 못하였다. 따라서 본 연구에서는 SNS의 사회관계망을 기반으로 하는 모바일 퍼즐 SNG의 지인 간 순위경쟁 특성을 사회비교이론의 자기평가유지모형 선행연구를 통해 분석하여 경쟁심과 도전감에 영향을 미치는 요인으로써 비교대상의 성취정도 (큰 순위차이, 작은 순위차이), 비교대상과의 친밀감 (강한 유대관계, 약한 유대관계)의 두 요인을 규명하고 이러한 요인 및 요인 간 상호작용이 순위경쟁상황에서 플레이어의 경쟁심과 도전감에 어떠한 영향을 미치는지를 실증적으로 분석하였다. 결과적으로 순위차이가 큰 경쟁대상보다 순위차이가 비교적 작은 경쟁대상을 우선적으로 노출시킬 때, 더불어 유대관계가 약한 경쟁대상보다 유대관계가 강한 경쟁대상을 우선적으로 노출시킬 때 플레이어의 경쟁심을 자극하여 도전감을 향상시킬 수 있음을 알 수 있었다. 이와 같은 연구결과는 SNG 순위표 콘텐츠 디자인의 실무에 있어 그 활용 가치가 클 것으로 기대할 수 있다.

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게임이론을 이용한 전력시장 발전입찰에서의 거래가격 결정에 관한 연구 (A Study on Transaction Pricing of Generation Bidding in Electricity Market by Using Game Theory)

  • 이광호
    • 대한전기학회논문지:전력기술부문A
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    • 제52권6호
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    • pp.333-339
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    • 2003
  • Competition among electric generation companies is a major goal of restructuring in the electricity industry. In electricity market, a huge volume of commodities will be traded through competitive bidding. The choice between uniform and pay-as-bid pricing for electricity auction has been one of most important issues in deregulated electricity market. This paper proposes a constrained Bertrand model for analyzing the electricity auction market of price competition model. The issue of the two pricing rules of uniform and pay-as-bid is studied from the viewpoint of consumer's benefit. This paper also shows that transmission congestion depends on the pricing mechanism. Pay-as-bid pricing gives less possibility of transmission congestion by price competition, and less burden to consumers in the simulation results.

What L2 Learners' Processing Strategy Reveals about the Modal System in Japanese: A Cue-based Analytical Perspective

  • Tamaji, Mizuho;Horie, Kaoru
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2007년도 정기학술대회
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    • pp.471-480
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    • 2007
  • Japanese does not exhibit deontic-epistemic polysemy which is recognized among typologically different languages. Hence, in Japanese linguistics, it has been debated which of the two types of modality is more prototypical. This study brings Chinese learner's acquisition data of Japanese modality to bear on the question of which of the two types of modality is more prototypical, using the Competition Model (Bates and MacWhinney 1981). The Competition Model notion of 'cues' as processing strategy adopted by learners reveals the continuity/discontinuity between these two modality domains.

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Competitive Analysis among Multi-product Firms

  • Kim, Jun B.
    • Asia Marketing Journal
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    • 제21권3호
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    • pp.47-64
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    • 2019
  • We analyze and study competition in differentiated product market using public data source. Understanding competitive market structure is critical for firms to assess how their products compete against other firms in a given market. In this paper, we estimate consumer demand, extend clout and vulnerability framework, and study competition among multi-product manufacturers in differentiated product market. For our empirical analysis, we adopt choice-based aggregate demand model and estimate consumer demand while accounting for unobserved product characteristics. Once we estimate consumer demand, we compute full price elasticity matrix and investigate intra- and inter- manufacturer substitutions among consumers. This research offers a framework for marketers to analyze and understand market structures, leading them to informed decisions.

Assessing the Value of Research and Exploratory Development Stage of an R&D project under Duopoly and Oligopolistic Competition

  • 최돈호;김지수
    • 기술혁신연구
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    • 제4권1호
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    • pp.165-183
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    • 1996
  • In acquiring and transferring a superior knowledge assesing the intermediate result value of a competitive R&D project is very important for a firm engaging in R&D. Most existing literatures on R&D evaluation are concerned with project selection and resource allocation. In this paper the stage of an R&D project is classified into research, exploratory development, and development. And a model is suggested which evaluates the intermediate result value before completion of development stage under duopoly and oligopolistic competition. Assessed value of the intermediate result transferred to the next tier company can be used as a minimum acceptable price to the inventor when more advanced knowledge acquired through R&D is transferred to the next tier one. The model suggested is composed of structural variables including research cost, success rates, potential profits, discount rate degree of competition. By using exponential distribution for invertion process time in each stage, we derive a formula that can assess the value of the intermediate result, and we demonstrate how the model can be applied to a competitive R&D situation through an example.

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A study on analysis of 7-Eleven's competition structure and competitiveness using Porter's 5 Force model

  • Kwang-Keun LEE
    • International Journal of Advanced Culture Technology
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    • 제12권1호
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    • pp.202-208
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    • 2024
  • Objective: The purpose of this study is to examine the competitive environment of 7-Eleven using Porter's 5 Force model to analyze the specific competitiveness of 7-Eleven that has maintained continuous growth as a competitive company. Methods: This study is a case study of 7-Eleven. Results: As a result of the analysis, 7-Eleven has reinforced its competitiveness with existing competitors by raising entry barriers by expanding domestic stores and developing overseas convenience store business, focusing on North America, based on economy of scale. In addition, 7-Eleven seeks to differentiate itself from other convenience stores by developing a "private brand" and strengthens its bargaining power with suppliers through the development of new products by gathering information and know-how of experts in product development based on customer needs. The bargaining power with customers has been strengthened by building loyalty and trust in the brand by allowing consumers to purchase the same products at the same price no matter which store they visit. As a threat to potential competitors, 7-Eleven has secured a competition advantage by raising the barrier to entry by concentrating stores in specific areas through a dominant franchise development strategy and increasing awareness of 7-Eleven among consumers. In the case of threats from substitute products, it was confirmed that 7-Eleven has overcome the threat from substitute products by opening 24 hours a day and providing various services such as ATMs and copiers.

Application of deep convolutional neural network for short-term precipitation forecasting using weather radar-based images

  • Le, Xuan-Hien;Jung, Sungho;Lee, Giha
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2021년도 학술발표회
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    • pp.136-136
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    • 2021
  • In this study, a deep convolutional neural network (DCNN) model is proposed for short-term precipitation forecasting using weather radar-based images. The DCNN model is a combination of convolutional neural networks, autoencoder neural networks, and U-net architecture. The weather radar-based image data used here are retrieved from competition for rainfall forecasting in Korea (AI Contest for Rainfall Prediction of Hydroelectric Dam Using Public Data), organized by Dacon under the sponsorship of the Korean Water Resources Association in October 2020. This data is collected from rainy events during the rainy season (April - October) from 2010 to 2017. These images have undergone a preprocessing step to convert from weather radar data to grayscale image data before they are exploited for the competition. Accordingly, each of these gray images covers a spatial dimension of 120×120 pixels and has a corresponding temporal resolution of 10 minutes. Here, each pixel corresponds to a grid of size 4km×4km. The DCNN model is designed in this study to provide 10-minute predictive images in advance. Then, precipitation information can be obtained from these forecast images through empirical conversion formulas. Model performance is assessed by comparing the Score index, which is defined based on the ratio of MAE (mean absolute error) to CSI (critical success index) values. The competition results have demonstrated the impressive performance of the DCNN model, where the Score value is 0.530 compared to the best value from the competition of 0.500, ranking 16th out of 463 participating teams. This study's findings exhibit the potential of applying the DCNN model to short-term rainfall prediction using weather radar-based images. As a result, this model can be applied to other areas with different spatiotemporal resolutions.

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Competition of Islamic Bank in Indonesia

  • Humairoh, Syafaqatul;Usman, Hardius
    • 유통과학연구
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    • 제14권6호
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    • pp.39-44
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    • 2016
  • Purpose - This paper aims to study the competition that occurs in the Islamic Banking industry and to analyze the variables that affect the total revenue of Islamic Banking in Indonesia. Research Design, Data and Methodology - This study observed 10Islamic banks for the period 2010-2013. The annual data are taken from Direktori Perbankan Indonesia, published by Bank Indonesia, and annual report of the observed banks. In analyzing data, Panzar Rosse Approach was applied to analyze the type of Islamic Bank Market and Panel Regression Model for the estimated co-efficients has been used in the Panzar Rosse Approach. Results - Estimation model shows that all the banking cost elements such as the price of capital, unit price of labor, and unit prices of funds have significant positive correlation to Revenue as a dependent variable. The estimated value of H-statistic for the period 2010-2013 is 0.69. It can be interpreted that Islamic banking market in Indonesia shows monopolistic competition. Price of capital and funds has statistically significant effect on Bank's Revenue. Conclusions - The study revealed that the Islamic banking market competition in Indonesia is monopolistic and the major contribution to the H-statistic comes from mainly price of funds.

환적화물 유치를 위한 동북아 항만간 경쟁에 게임이론의 응용 (On the Application of Game Theory to the Competition among Major Ports in NE Asia for T/S Cargos)

  • 한욱;박계각;안태영
    • 한국지능시스템학회논문지
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    • 제22권2호
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    • pp.261-266
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    • 2012
  • 동북아시아 경제의 급성장으로 인한 지역 물동량 및 해운시장 환경 변화에 따라서 부산항과 상해항은 동북아 물류 중심 허브가 되기 위하여 항만개발 및 항만 경쟁력을 강화해 왔으며, 최근에는 환적 컨테이너 화물 유치경쟁이 더욱 심화되고 있다. 따라서 본 연구에서는 동북아 주요 컨테이너 항만중 경쟁관계에 있는 부산항과 상해항을 대상으로 이 두 항만이 피더항의 환적화물을 유치하기 위한 경쟁의 게임모형을 수립하여 경쟁상황을 분석하였다.

원격의료 확대가 의료산업 구조변화 및 경쟁 확대에 미치는 영향과 정책적 시사점 - 미국 아마존의 헬스케어 분야 진출 사례를 중심으로 (The Effect of Telemedicine Expansion on the Structural Change and the Competition Increase in the Health Care Industry and its Policy Implication- Focusing on the case of Amazon's foray on the health care industry)

  • 이재희
    • 문화기술의 융합
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    • 제8권3호
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    • pp.405-413
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    • 2022
  • COVID-19 이후 원격진료, 스마트 병원, AI 진단 등 ICT 기술과 데이터사이언스를 활용한 새로운 의료서비스모형의 활용이 크게 증가하고 있다. 본 연구에서는 최근 미국에서 원격진료와 대면진료의 혼합 모형 운영, 소비자 중심의 온라인의약품 배송, 가정용 진단기기 개발, 그리고 진료 및 처방, 의약품 배송, 진단기기의 활용이 통합적으로 제공되는 새로운 모형 제시 등 미국 헬스케어산업에서 파괴적 혁신을 선도하는 아마존의 헬스케어 사업 모형을 살펴보았다. 특히 아마존 기존 사업분야와의 시너지 효과 등으로 인해 적극적 시장 확대 및 소비자 가치 증대가 발생함을 다품목시장에서의 시장확대 모형을 통해 보였고, 또한 소비자 선택 유도 확대 시 의료서비스 시장에서의 경쟁이 활성화됨을 호텔링의 공간경쟁모형을 통해 보였다. 분석 결과 소비자 가치 증대의 장점과 함께 공급기반 감소에 따른 경쟁 약화의 부작용이 있을 수 있으므로 장기적으로 공정경쟁 관리 차원의 정책적 관심이 필요할 것으로 보인다.