• Title/Summary/Keyword: Price Strategy

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Situations of GAP certified ginseng and 4P's strategies (GAP 인증인삼 현황과 4P 전략)

  • Hong, Seung-Jee;Kim, Kwan-Hoo
    • Korean Journal of Agricultural Science
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    • v.38 no.2
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    • pp.369-381
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    • 2011
  • Ginseng in Korea has not only the big production value but also till a good reputation from overseas in the name of 'Korea Ginseng'. Having spread rapidly nationwide from 2000 year, its production keeps on increasing but its consumption becomes lazy and its price is also falling down because of comsumer's concern about mainly overusing pesticide for ginseng. In order to cope with this problem, the government introduced the GAP certification system to ginseng in 2006 to reflect consumer's needs for food safety. This system will be a good opportunity to promote ginseng consumption dramatically. In this aspect it is very important to know how well this system is established and how ginseng farmers build marketing strategies to draw new wind in the market. This study was carried out to look over the GAP certified ginseng system and show its marketing strategies using 4P's(product, place, promotion and price). The main results are as follows. GAP ginseng system currently has some weaknesses such as lack of systematic certification management and after-service, nonrealistic certification fee and poor linkage from production to consumption. In the marketing mix strategies, product strategy suggests that the most desirable appearance be transplanted ginseng filled with branch roots and 4 to 5 year-ginseng, and it is necessary to choose multi-brand strategy divided for present into for self-sufficiency and family brand strategy by use if its brand enlarges to processed products in the future. In the place strategy, 3 stages like 'producer group' - 'GAP certified facility' - 'sales shop' are based as the physical marketing channel according to traceability, and connected with giant retail market and environment friendly stand, and if its sales volume enlarges, it should be considered the GAP ginseng specialized marketplace which is a type of chain store. In the promotion strategy, the promotion of government level is necessary at first and producer alliances require the promotion targeting at the group of women under 40 with differentiation from price, quality, and safety. In the price strategy, the early stage-high price strategy which sets 20~25% higher for self-sufficiency and 30~35% for present is desirable.

Competitive Bidding Model with Reserve Price (최저입찰가와 참가비가 있는 경쟁입찰모형)

  • 김여근;박순달
    • Journal of the Korean Operations Research and Management Science Society
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    • v.9 no.2
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    • pp.9-14
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    • 1984
  • The competitive bidding model with the reserve price has been studied by Riley and Samuelson. We extend their studies to the competitive model with the reserve price and the entry fee. First we present the bidder's optimal strategy, the winner's expected profit, the auctioner's expected revenue in the first-price sealed bidding model, and next those in the second-price sealed bidding model.

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A Strategy Bayesian Model to Predict Profit of Construction Projects

  • Park, Sung-Hyuk;Kim, Sang-Yong
    • Architectural research
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    • v.13 no.3
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    • pp.49-56
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    • 2011
  • Competitive bidding in construction is concerned with contractors making strategic decisions in respect of determination of bid price if contractors opt to bid. This study presents a strategy model for deciding optimum tender price with reflecting appropriate profit in competitive bidding using Bayesian regression analysis (BRA). The purpose of the developed model is to help contractors to secure suitable profitability by predicting the actual profit based on key variables. They may affect construction cost at bidding phase, ultimately which help contractors to secure high quality output. The model was tested empirically by application to a bidding dataset collected from a large South Korea contractor. BRA allows contractors to estimate more accurate actual profit by reflecting not only objective information but also subjective experiences and judgments. Consequently, the model can contribute to improvement of decision-making process for setting an optimum tender price.

Analysis of Consumption of Homemade Organically Processed Food (국산 유기가공식품 소비의향 분석)

  • Jeong, Hak-Kyun;Jang, Jeong-Kyung
    • Korean Journal of Organic Agriculture
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    • v.20 no.1
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    • pp.1-19
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    • 2012
  • The purpose of this study is to analyze consumption of homemade organically processed food (HOPF), and to derive directions for consumption promotion of HOPF. A survey was conducted for quantitative analysis regarding consumption. This study used an Ordinal Logistic Regression Model to derive more significant results in analyzing factors of consumption. The findings was that younger consumers with high income are more likely to purchase HOPF. And those consumers with high price and quality contentment are more likely to purchase HOPF. And contentment with certification institutions and improvement of health have a significant positive relationship with consumption. Consumers were found to pay 51 percent more for HOPF than for non-HOPF products. This level show that the current level of price premium for HOPF is 51 percent higher than their desired level. In order to reduce the price premium for HOPF, effective policy programs should be developed. A targeted market strategy to sell HOPF to younger consumers with high income is needed to boost consumption. A strict certification management system should be established to enhance consumer reliability in HOPF.

Study on the Relationship between Brand Characteristics and Localization Strategy of Imported Brands in Korean Market (국내 수입브랜드의 특성과 현지화전략과의 관계연구)

  • Han, Jee-Hee;Ko, Eun-Ju
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.8
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    • pp.1180-1189
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    • 2007
  • The purpose of this study is to search the level of localization strategy of imported brands in Korean Market, to investigate relationship between the brand characteristics and localization strategy, and to study the case about localization strategy of the brand selected according to the type of brand. The survey research was employed and for the data analysis, descriptive statistics, one-way ANOVA, and multiple-regression were used. For the case study, interview with the person who works in the each kind of company was used. The results of this study were as follows: Firstly, the level of localization strategy is found in order price, place, promotion and product. Secondly among the brand characteristics, type of brand, proportion of garments, price zone, launching time, number of shop are related with localization strategy, but turnover and number of the staff are not. Thirdly, license brand has the characteristics like as national brands and the differences between the branch and the agent is confidence and communication that are the basic elements of localization. This study can help national brands to refer the localization strategy and provide the understanding of localization strategy of imported brands in Korean fashion market.

Marketing to Competitors' Customers using Agent based Modelling and Simulation Driven Strategy

  • Beyari, Hasan
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.297-304
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    • 2021
  • In a duopoly situation, one firm can gain competitive advantage by attracting the price-sensitive customers from its competitor leading to higher profits through higher sale revenue for the competing company. A simulation study in which there are two electric car manufacturers with agent based modelling was conducted in order to verify this contention. The first step consisted of defining the baseline. Simulations of 1000 times and agent-based modelling were conducted with the assumption that company 1 reduced its price to the maximum of 20% thereby contributing to the switch-over of a maximum of 40% of the price sensitive customers of company 2. The results of 1000 simulations and agent-based modelling highlighted that price reduction by company 1 resulted in a significant increase in the number of customers, presumably due to switch-over from company 2 and there was a corresponding increase in revenues from both of the sales avenues. Thus, Company 1 achieved competitive advantage by marketing its cars to the customers of Company 2 using price reduction strategy to attract them. This study has ramifications for companies that aim to sway the price sensitive customers from a competitor.

The Effect of Reference Price Advertisements of Service on Consumers' Perception (서비스의 준거가격광고가 소비자 지각에 미치는 영향에 관한 연구)

  • Kim, Young-Man;Kim, In-Sub
    • Journal of Global Scholars of Marketing Science
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    • v.10
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    • pp.91-110
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    • 2002
  • The purpose of this research is as follows; First, the reference price ads are to investigate how the price cues and prior knowledge of service products have an effect on consumers' perception by the type of information. Second, this study suggests some marketing strategy guides to service marketing managers for price promotion strategy. To achieve these research goals, the hypothesis was established through reviewing the previous studies and the data collected from the experimental design. The experiment of this study was a 2$\times$2$\times$2 among the subject factorial design in which the factors were present in price cue presentation (presentation/non- presentation), the level of prior knowledge(high/low), and the type of information(positive/negative). The major findings of this research can be summarized as follows; First, there are some significant statistical differences in the consumers' perception value by level of price cues(hypothesis 1). Second, there are some significant statistical differences in the consumers' price-quality perception by level of price cues(hypothesis 2). Third, there are some significant statistical differences in the price-quality perception by the level of prior knowledge and the type of information(hypothesis 3).

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An Analysison Consumer Member's Awareness to Green Marketing Strategies of a Consumer's Cooperative Shop for Environmentally Friendly Agri-product (생활협동조합 매장의 그린마케팅 전략에 대한 소비자회원의 인지도 분석 -한살림천안아산생협 매장을 중심으로-)

  • Kim, Ho;Lee, Na-Ra
    • Korean Journal of Organic Agriculture
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    • v.19 no.3
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    • pp.309-327
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    • 2011
  • The paper analyzed on the level of consumer member's awareness to green marketing strategies (4P's; product, price, place and promotion strategies) of Hansalim specialty shops for environmentally friendly agri-products. For the study, Hansalim-Cheonanasan members had been surveyed. Consumers purchase environmentally friendly agri-products because quality and freshness of those is good. The difference in amount of the average monthly purchase between loyal customers and disloyal customers is about 130,000 won. And customer's awareness is that the first is promotion strategy, the second product strategy, the third place strategy, the last price strategy. The average monthly purchase is related with product strategy in correlations between the 4P's each other. If Hansalim maintains a product strategy, promotes extensively and keeps their product standard, more consumers will purchase Hansalim products because the most important one of effect of green marketing strategies on consumer behavior is products. Hansalim needs to go into action to increase recognition. Some of consumers have misconcepts or don't know about the 4P's well. If Hansalim promotes positively considering interrelationship about 4P's strategies or other strategies, the consumers awareness will be changed more effectively. This study shows that balanced 4P's is better than only one superior strategy because of the correlation amomg green marketing strategies.

“Left Shoulder”Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network and Sign Variables (자기연상 학습 신경망과 부호 입력 변수를 이용한 종합주가지수 "왼쪽어깨" 패턴 검출)

  • 백진우;조성준
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2000.10a
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    • pp.29-32
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    • 2000
  • We proposed a neural network based “left shoulder”detector. The auto-associative neural network was trained with the “left shoulder”patterns obtained from the Korea Composite Stock Price Index, and then tested out-of-sample with a reasonably good result. A hypothetical investment strategy based on the detector achieved a return of 132% in comparison with 39% return from a buy and hold strategy

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An Empirical Study on the Cryptocurrency Investment Methodology Combining Deep Learning and Short-term Trading Strategies (딥러닝과 단기매매전략을 결합한 암호화폐 투자 방법론 실증 연구)

  • Yumin Lee;Minhyuk Lee
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.377-396
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    • 2023
  • As the cryptocurrency market continues to grow, it has developed into a new financial market. The need for investment strategy research on the cryptocurrency market is also emerging. This study aims to conduct an empirical analysis on an investment methodology of cryptocurrency that combines short-term trading strategy and deep learning. Daily price data of the Ethereum was collected through the API of Upbit, the Korean cryptocurrency exchange. The investment performance of the experimental model was analyzed by finding the optimal parameters based on past data. The experimental model is a volatility breakout strategy(VBS), a Long Short Term Memory(LSTM) model, moving average cross strategy and a combined model. VBS is a short-term trading strategy that buys when volatility rises significantly on a daily basis and sells at the closing price of the day. LSTM is suitable for time series data among deep learning models, and the predicted closing price obtained through the prediction model was applied to the simple trading rule. The moving average cross strategy determines whether to buy or sell when the moving average crosses. The combined model is a trading rule made by using derived variables of the VBS and LSTM model using AND/OR for the buy conditions. The result shows that combined model is better investment performance than the single model. This study has academic significance in that it goes beyond simple deep learning-based cryptocurrency price prediction and improves investment performance by combining deep learning and short-term trading strategies, and has practical significance in that it shows the applicability in actual investment.