• Title/Summary/Keyword: retail price

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A Study on the Consumer Dissatisfaction in the Purchase and Use of Clothing (기성복의 구매 및 사용시 불만족 요인에 관한 연구)

  • Min Dong-Won;Rhee Eun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.14 no.1 s.33
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    • pp.3-12
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    • 1990
  • The purposes of this study were to determine the consumer dissatisfaction factors in the process of purchase and use of clothing, and to investigate the relationships between the dissatisfaction factors and selected variables-clothing importance, evaluative attributes, price, shopping stores. The research questionnaires selected from the pilot study were administered to 547 female subjects in the age of twenties. The dissatisfaction factors identified as a result of the factor analysis were as follows: (1) 'price' factor ($21.6\%$ of the total explained variance), (2) 'product assortment' factor ($21.5\%$), (3) 'purchase decision-making' factor ($19.9\%$), (4) 'quality' factor ($18.6\%$), (5) 'informa­tion and service' factor ($18.4\%$). By these five factors, the $34.7\%$ of the total variance were explained. The factors were validated by the multiple regression analysis. The purchase decision­making factor has the greatest explanatory power suggests that psychological aspects are more important to clothing dissatisfaction than any other objective aspects. The relationships between the dissatisfaction factors and the selected variables were found to be as follows: 1) The higher clothing importance scores, the higher product assortment related dissatisfac­tion score. 2) The higher the purchase price, the lower the price related dissatisfaction, but the higher the product assortment related dissatisfaction scores. 3) The department store and the national brand chain store shoppers had higher product assortment related dissatisfaction compared to the small retail store and discount store shoppers.

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An Influence of Private Brand′s Perceived Cues on It′s Proneness (유통업체 상표의 지각된 정보단서가 이의 지각품질, 지각희생 및 선호에 미치는 영향)

  • 김성배;전인수
    • Journal of Distribution Research
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    • v.6 no.2
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    • pp.19-40
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    • 2002
  • According to the secondary data, private brand(PB)'s share of retail sales is 25-30% in the USA, but about 45 in Korea. In Korea PB's average price is 23.3% less than manufacturer brand. It is very interest that PB's price advantage doesn't have a good effect on it's share of retail sales. This research's objective is to study why Korean consumers don't purchase private brand cheaper than manufacturer brand. A theoretical reasoning depends on information cue theory and means-ends model of perceived value. A unit of analysis is consumers who purchase private brand at E-mart in Pusan city, one of largest discount store in Korea. Hypothesis tested by Lisrel's structural equation model and interesting results as follows: First, favorable brand image among extrinsic cues is most positively correlated with perceived quality/sacrifice and intrinsic cues is also statistically significant. This fact imply that intrinsic cues; package, logo, country of origin are very important in the adoption of private brand in Korea. Second, compared with manufacturer's brand, PB's perceived price is positively correlated with perceived quality/sacrifice. This fact imply a assimilation effect between manufacturer's brand and private brand. Finally, a correlation between perceived sacrifice and PB proneness is satistically insignificant, but perceived quality has a significant effect on its proneness. this fact imply that innovators(about 4% of potential consumer) are risk-taker.

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Tobacco Control Policies in Vietnam: Review on MPOWER Implementation Progress and Challenges

  • Hoang, Van Minh;Tran, Thu Ngan;Vu, Quynh Mai;Nguyen, Thi Tuyet My;Le, Hong Chung;Vu, Duy Kien;Tran, Tuan Anh;Nguyen, Bao Ngoc;Vu, Van Giap;Nguyen, Manh Cuong;Pham, Duc Manh;Kim, Bao Giang
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.sup1
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    • pp.1-9
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    • 2016
  • In Vietnam, the WHO Framework Convention on Tobacco Control (WHO FCTC) took effect in March 2005 while MPOWER has been implemented since 2008. This paper describes the progress and challenges of implementation of the MPOWER package in Vietnam. We can report that, in term of monitoring, Vietnam is very active in the Global Tobacco Surveillance System, completing two rounds of the Global Adult Tobacco Survey (GATS) and three rounds of the Global Youth Tobacco Survey (GYTS). To protect people from tobacco smoke, Vietnam has issued and enforced a law requiring comprehensive smoking bans at workplaces and public places since 2013. Tobacco advertising and promotion are also prohibited with the exception of points of sale displays of tobacco products. Violations come in the form of promotion girls, corporate social responsibility activities from tobacco manufacturers and packages displayed by retail vendors. Vietnam is one of the 77 countries that require pictorial health warnings to be printed on cigarette packages to warn about the danger of tobacco and the warnings have been implemented effectively. Cigarette tax is 70% of factory price which is equal to less than 45% of retail price and much lower than the recommendation of WHO. However, Vietnam is one of the very few countries that require manufacturers and importers to make "compulsory contributions" at 1-2% of the factory price of cigarettes sold in Vietnam for the establishment of a Tobacco Control Fund (TCF). The TCF is being operated well. In 2015, 67 units of 63 provinces/cities, 22 ministries and political-social organizations and 6 hospitals received funding from TCF to implement a wide range of tobacco control activities. Cessation services have been starting with a a toll-free quit-line but need to be further strengthened. In conclusion, Vietnam has constantly put efforts into the tobacco control field with high commitment from the government, scientists and activists. Though several remarkable achievements have been gained, many challenges remain. To overcome those challenges, implementation strategies that take into account the contextual factors and social determinants of tobacco use in Vietnam are needed.

Process of Estimating Volatility Wholesale Price for Determining Optimal Electric Retail Price (적정 전기 소매 가격 책정을 위한 공급 도매 가격 변동성의 예측 방법)

  • Park, Joon-Hyung;Kim, Sun-Kyo;Choi, Nack-Hyun;Kwon, Sang-Hyoek;Yoon, YongTae;Lee, Sang-Seung
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.575_576
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    • 2009
  • 최근 전력산업의 구조적인 측면에서는 수직적 형태의 분리 및 경쟁 도입, 그리고 민영화를 통한 효율 증진 등 전력산업 개편이 전세계적으로 이루어지고 있다. 전력산업의 개편 과정에서 전력공급자(ESP)는 불완전한 시장으로 인한 재정적인 위험에 직면한다. ESP가 재정적인 위험에서 근본적으로 벗어나기 위해서는 합리적인 전기 소매 가격의 책정이 필요하다. 본 논문에서는 현재 적용되고 있는 고정 소매 가격제에 대한 문제점을 제시하고 이를 극복하기 위해서 전기 공급 도매 가격의 변동성을 예측함으로써 헤징을 통한 새로운 요금제의 도입의 필요성을 제안하는 것이 본 논문의 목적이다. 본 논문에서 소개될 새로운 요금제인 Critical Peak Pricing(CPP)에서 전기 공급 도매 가격의 변동성의 예측은 CPP 요금을 적용하는데 중요한 역할을 담당하는 지표로 활용된다. CPP 요금을 적용함으로써 ESP의 재정적인 위험을 최소화하고 수요 탄력성이 반영되어 전기 소비자들과의 관계 향상 또한 유도될 수 있다.[4],[6]

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Impact of Differentials in Gas Prices on Consumers' Shopping Behaviors (지역 간 휘발유 가격 차이가 고객의 휘발유 구매 행태에 미치는 영향)

  • Lee, Jeongeun;Jung, Hojin
    • The Journal of the Korea Contents Association
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    • v.15 no.9
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    • pp.445-453
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    • 2015
  • We empirically investigated how differentials in gasoline prices influenced consumers' shopping behaviors at the gas pump. Among dimensions of many gas shopping behaviors, we focused on consumer decisions of purchase quantity and locations and found that price differentials across regions had statistically significant and negative effects on two consumers' decisions. Our findings provide important implications for the future research on gasoline demand and make a substantial contribution to empirical knowledge about how consumers make purchases in the gasoline retail industry.

A Study on the Development of Direct Marketing Strategy for Organic Agricultural Products (유기농산물 직거래전략 개발에 관한 연구)

  • Yoo, Duck-Ki
    • Korean Journal of Organic Agriculture
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    • v.19 no.4
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    • pp.475-500
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    • 2011
  • One of the first important strategic decisions when a starting an organic marketing initiative (OMI) is to plan the right strategy for distributing products. This decision depends to a large extent on whether the OMI has chosen a quality-premium product strategy or a price-quantity strategy. All distribution decisions interact strongly with other aspects of the marketing mix. Where and how a product is distributed objectives, its chosen strategy and the availability of human and capital resources. To select a market channel, frequent contact and discussions with possible partner are important. Generally, a distribution is made between the direct and indirect physical distribution of organic products to consumers. The longer the supply chain, the lower the chances that an OMI can steer the market through its own marketing measures and convince consumers through its own promotion activities. Generally speaking, the shorter the chain between OMI products and the final consumer, the less dependent the OMI will be on the success of other market actors. Direct selling activities to the retail or food industries also requires an OMI to undertake additional processing and marketing activities. For example, retailers often expect products to have been packed and labelled ready for sale. To conclude, distribution channels should be chosen in accordance with the product and price policy as well as the management capacity of the OMI.

Determinants of Private Label's Purchase Intention in the Korean Market

  • NATALYA, Votchik;CHO, Jae-Wun;LEE, Jong-Woo
    • Journal of Distribution Science
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    • v.18 no.10
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    • pp.121-130
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    • 2020
  • Purpose: In this study we investigate the determinants of private label (PL) purchase intention in South Korea. Private labels are becoming more and more popular in America and European countries. However, there are not enough studies focusing on PL within the South Korean market. Therefore, the present study has been written in order to understand more about consumers' purchase intention of store brand in the South Korean market. Many characteristics and aspects of consumers and brand's behavior have been reviewed in order to bring relevant results. Research design, data and methodology: Data was collected using a quantitative survey of Korea retail store's consumer. We analyzed using multiple regression method to test the hypothesis. We analyzed how and why do consumers have a strong intention to purchase the PL. Results: a) Trust towards retailer influences the PL purchase intention of customers; b) brand awareness has an impact on the PL purchase intention of customers; c) perceived quality has an impact on the PL purchase intention; d) Price-quality relationship influences on the PL purchase intention. However, there is no direct effect of some of the factors of determinant. Conclusion: For private label products in the Korean market, trust in sellers and brand awareness influences the purchase of PL products.

Predicting Consumers' Repurchase Intention of Ready-to-Drink Coffee: A Supply Chain from Thai Producers to Retailers

  • PUTITHANARAK, Naruecha;KLONGTHONG, Worasak;THAVORN, Jakkrit;NGAMKROECKJOTI, Chittipa
    • Journal of Distribution Science
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    • v.20 no.5
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    • pp.105-117
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    • 2022
  • Purpose: This research investigates ready-to-drink (RTD) coffee. Although the RTD coffee market is growing competitively, few studies have examined behavioral re-intention or repurchase intention in the context of this industry. Therefore, the objective of this study was to explore factors affecting the behavioral re-intention to purchase RTD coffee. Research design, data and methodology: Using the theory of planned behavior (TPB) as the underpinning theoretical framework, this study hypothesized that behavioral re-intention to purchase RTD coffee is influenced by the variables of the TPB and additional variables. A mixed-method research design was applied, starting with qualitative in-depth interviews and followed by a quantitative method. Data were collected using an online survey of coffee lovers. Multiple linear regression (MLR) was used to assess the hypothesized relationships in the proposed conceptual framework. Results: The results reveal that content sensory attribute beliefs are the strongest positive predictor of behavioral re-intention in Thailand, followed by perceived utilitarian value. In contrast, price signaling was negatively related to behavioral re-intention. Conclusions: The findings can help food and beverage companies to develop new coffee product lines to gain more market share, create integrated marketing communications to build brand awareness, and manage distribution channels and the supply chain.

Performance Measurement of Local Credit Guarantee using Input-Output Analysis (투입산출분석을 이용한 보증지원 성과분석)

  • Lee, Young-Chan;Lee, Seung-Seok
    • Knowledge Management Research
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    • v.10 no.3
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    • pp.115-132
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    • 2009
  • This paper makes an analysis of economic spillover effects of credit guarantee by linking the remainder of guarantee according to industries from 2003 to 2006 in this study. Specifically, total remainder of guarantee in 2006 is approximately 3922 billion and 600 million won on the basis of unchangeable price in 2003, and each funds becomes the input of the last demand in 27 industries over the cow1try and, thereby, induces production, added value, and the effect of employment. The last demand according to industries shows that a lot of funds have been supported to the manufacturing industry for about 1200 billion won, the wholesale and retail for about 1299 billion and 500 million won, food and lodging industry for about 144 billion and 100 million won, education and health care industry for about 132 billion and 600 million won, and social and other service industry for about 339 billion and 300 million won. The spillover effect about the remainder of guarantee in 2006 classified by industries over the country on the basis of production shows the high effects on the manufacturing industry for 37.8%, 2625 billion and 90 million won, the wholesale and retail for 20.7%, 1439 billion and 290 million won, food and lodging industry for 9.4%, 654 billion and 570 million won, real estate and business service industry for 9.2%, 637 billion and 310 million won, social and other service industry for 5.3%, 369 billion and 90 million won, and education and health care industry for 2.9%, 199 billion and 300 million won of the effect causing production over the country, 6945 billion won in order. The effect causing added value shows high spillover effect on the wholesale and retail for 36.7%, 1186 billion and 830 million won, the manufacturing industry for 25.8%, 831 billion and 500 million won, food and lodging industry for 14.9%, 480 billion and 980 million won, social and other service industry for 9.3%. 300 billion and 160 million won, and real estate and business service industry for 4.2%, 135 billion and 36 million won of the effect causing added value over the country in order. Finally, the effect causing employment shows a lot of employment have occurred in the wholesale and retail for 37.4%, 23,060 people, the manufacturing industry for 18.9%, 11,637 people, food and lodging industry for 13.7%, 8,429 people, social and other service industry for 7.9%, 4,866 people, and real estate and business service industry for 5.6%, 3,429 people of 61,617 people in order.

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A Prediction Model for Agricultural Products Price with LSTM Network (LSTM 네트워크를 활용한 농산물 가격 예측 모델)

  • Shin, Sungho;Lee, Mikyoung;Song, Sa-kwang
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.416-429
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    • 2018
  • Typhoons and floods are natural disasters that occur frequently, and the damage resulting from these disasters must be in advance predicted to establish appropriate responses. Direct damages such as building collapse, human casualties, and loss of farms and fields have more attention from people than indirect damages such as increase of consumer prices. But indirect damages also need to be considered for living. The agricultural products are typical consumer items affected by typhoons and floods. Sudden, powerful typhoons are mostly accompanied by heavy rains and damage agricultural products; this increases the retail price of such products. This study analyzes the influence of natural disasters on the price of agricultural products by using a deep learning algorithm. We decided rice, onion, green onion, spinach, and zucchini as target agricultural products, and used data on variables that influence the price of agricultural products to create a model that predicts the price of agricultural products. The result shows that the model's accuracy was about 0.069 measured by RMSE, which means that it could explain the changes in agricultural product prices. The accurate prediction on the price of agricultural products can be utilized by the government to respond natural disasters by controling amount of supplying agricultural products.