• Title/Summary/Keyword: Sales Size

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The Synergy Effect of a Corporate-Level Loyalty Program Integration on Customer Equity

  • Park, Dae-Yun;Yoo, Shijin
    • Asia Marketing Journal
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    • v.20 no.4
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    • pp.21-47
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    • 2019
  • This study empirically examines the synergy effect of a corporate-level loyalty program on customer equity (CE) known as the lifetime value of current and future customers (Blattberg et al. 2009). A corporate-level loyalty program refers to a company-wide integration loyalty program at the corporate-level in which subsidiaries (multi-divisions) participate as program members. It does not merely examine whether there is an integration effect of a corporate-level loyalty program from the CE perspective, but it provides practical implications for a firm's strategic focus by identifying which value creation channels (i.e., acquisition, retention, and cross-selling), brand characteristics (i.e., size of the customer base before integration, diversity of products, and sales channel type), and consumer characteristics (i.e., customer relationship stage, transaction amount before integration, transaction period, and number of purchased brands) are affected the most by the synergy effect.

A Study on Measurement of TFP and Determinant factor (IT제조업의 총요소생산성 추정 및 결정요인 분석)

  • Lee, Young-Soo;Kim, Jung-Un;Jung, Hyun-Joon
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.1
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    • pp.76-86
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    • 2008
  • This paper estimates the TFP in IT manufacturing (total factor productivity) by employment size of establishment and analyses the determinants of it. And the panel data is consisted of time series and cross section data of 4 employment size of establishment over $1990{\sim}2004$. During the period from 1991 to 1997 TFP increased positively irrespective of the employment size of establishment, but from 1998 to 2004 TFP increase rate turned negative except large size(more than 300) of establishment. TFP assume macro variables and policy variables as the determinants of IT manufacturing TFP. The analysis of whole size of establishment shows that sales growth rate is significantly positive, which makes us conclude that there is a teaming by doing effect and economy of scale. But some variables(i.e. IT capital stock, policy financing, and openness etc.) are significant in only a few models. So there may be different effect by employment size of establishment. In TFP determinants analysis by employment size of establishment, we find that coefficients of policy financing and openness variables are significantly positive. The larger employment size of establishment is, the larger scale economy is. And for large size(more than 300) establishment, IT capital stock helps propel the increase of the productivity.

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Analysis of the Efficiency of the Traditional Market's CRM Activities (전통시장의 고객관계관리 전략(CRM)에 대한 효율성 분석)

  • Kim, Soon-Hong;Yoo, Byoung-Kook
    • Journal of Distribution Science
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    • v.11 no.5
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    • pp.43-53
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    • 2013
  • Purpose - The purpose of this study is to analyze the effectiveness of customer relationship management (CRM) support policies for facilitating traditional markets, especially with respect to customer acquisition and maintenance, and to investigate the factors affecting CRM. Research design, data, and methodology - We analyzed the CRM efficiency of traditional markets in 16 cities and provinces in Korea on the basis of DEA analysis and Malmquist productivity analysis. The DEA model calculates a ratio of the weighted mean of various inputs to the weighted mean of various outputs and measures the efficiency of a specific decision making unit (DMU), which is compared to the reference group that has a similar input-output structure. The input variables are coupon, event, parcel service, premiums, while is the number of customers per day. Further, through regression analysis, we analyzed CRM-related factors affecting traditional markets' customer appeal and revenue growth. Results - We obtained the results of the efficiency of traditional markets in 16 provinces. The traditional markets in Seoul, Busan, and Jeju were found to be efficient in a model CCR that used the number of customers per day as an output variable, while Chungbuk, Jeonbuk Province, and According to the results of the DEA analysis and Malmquist productivity analysis, large cities such as Seoul, Busan, and Jeju showed efficiency in CRM-related investment businesses in traditional markets for attracting customers. The Malmquist analysis results confirmed that the productivity of traditional markets increased from 2008 to 2010. The results of the regression analysis revealed that the "customer acquisition/maintenance factor" and the "offering of customer convenience facility factor" were significant to the daily average number of customers, which is a dependent variable. The results of the test with the mediating variable, "number of customers," and the final dependent variable, "sales revenue," were rejected. However, the variable "customer acquisition /maintenance" was found to affect sales revenue positively. Conclusions - It is necessary to enhance the business not only for promotional activities to attract customers, but also to strengthen customer relationships among CRM businesses, such as through the management of key customers. The regression analysis results showed that CRM businesses have yet to produce an increase in sales revenues in traditional markets. Therefore, to help customers who visit traditional markets to keep buying products, it is necessary to prepare various investment methods and provide support to improve "customer loyalty." This study has a limitation in terms of CRM-related statistics. Therefore, in the future, it is necessary to conduct a survey of customers who use traditional markets to analyze the markets by type and size as well as the CRM-related factors. Based on the analysis, we will try to perform a variety of statistical analyses, including structural equations.

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A Study on Affordability of Bogeumzari Housing in Metropolitan Area: Focused on Public Sales Housing, 10-Year Rental Housing, and Shared-ownership Housing (수도권 보금자리주택 대상계층의 지불가능성 분석: 공공분양, 10년임대, 분납임대주택을 중심으로)

  • Choi, Eun-Hee;Kim, Ok-Yeon;Lee, Jong-Kwon
    • Land and Housing Review
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    • v.4 no.4
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    • pp.361-370
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    • 2013
  • The purpose of this paper is to appraise Bogeumzari Housing Program(BHP) which is providing public housing of different types for the target brackets on a matching system basis. Especially, on government's announcing BHP plan with the designation of several Bogeumzari districts in Seoul Metropolitan area, they raised a question about target groups' receiving the benefits of BHP plan and this paper focuses on the question. We tried to analyze two topics. First one is about the exorbitant windfall profits to the future potential residents derived from low price or rental cost of Bogeumzari Housing in comparison with neighborhood's market price. Second one is the low possibility of low-moderate income household's access to absolutely high price Bogeumzari Housing that is because the market price is so high in some area. BHP includes not only long-term public rental hosing(Permeant rental housing, National rental housing) for low income households but also other types of public rental housing(10-year rental housing, shared-ownership rental housing) for moderate income households. So, in this study we tried to find out the affordability of each bracket in three public housing types, which are public sales housing(condominium), 10-year rental housing and shared-ownership rental housing. Through analyzing the housing affordability by types, regions, size, we tried to seek the answer to the controversy and propose policy implications related to the future public housing programs.

Analysis of Management Efficiency for Abalone Seed Producer based on DEA Approach (DEA를 이용한 전복종자 생산업체의 경영효율성 분석)

  • Oh, Ye-Jin;Lee, Nam-Su;Kim, Dae-Young
    • The Journal of Fisheries Business Administration
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    • v.51 no.1
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    • pp.37-52
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    • 2020
  • The production of abalone seed has grown and been specialized since the 2000s with the growth of the abalone farming industry. Despite the increase in the production of abalone seeds, the sales volume of abalone seeds remained flat and competition among producers increased. This paper will analyze the management efficiency of abalone seed production fishery to diagnose the management status and improve the abalone seed production efficiency. In addition, this study is the result of the basic research on the abalone seed industry and it is meaningful to prepare a platform for further research since the management status survey and the management efficiency survey of abalone seed production fishery have not been conducted until now. The data on the farmed fish prices of abalone seeds were collected from surveys of sample fish as part of the fish seed observation project conducted by the Fisheries Outlook Center (FOC) of Korea Maritime and Fisheries Development Institute (KMI). Management efficiency analysis utilizes DEA (Data Envelopment Analysis) model. The DEA model was analyzed by classifying into CCR (Super-CCR), BCC, and SBM (Super-SBM) models according to the assumptions taking into account the characteristics of the industry. The slack considered in the SBM model was judged as possible decreases in input variables and increase in output variables. The average efficiency from the CCR model was analyzed to be 69%. The BCC model was classified into input and output orientations, and the average efficiency was 79% and 75%, respectively. There were seven production fisheries with an SE value of 1 or more, which remained unchanged in terms of size and could be benchmarked. The average efficiency of the SBM model was 59% for CRS and 66% for VRS. Under the VRS assumptions, the variable increase/decrease efficiency analysis shows that labor costs can be reduced by 37.3%, facility capacity by 18.8%, and operating costs by 8.5%. In order to improve management efficiency, Wando needs to reduce labor and management costs. In Jindo region, sales increase as well as labor cost reduction is urgent. In other regions, reduced facilities and increased sales are recommended.

A Study On the Clusters In the Electronic Industry Using Social Network Analysis (사회적 네트워크 분석을 이용한 전자산업 클러스터 연구)

  • Jung, Jaeheon
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.48-63
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    • 2019
  • We tried new analysis including social network analysis(SNA) on the transaction network centered on electronic companies using more than 50 thousand company transaction data obtained from Korean enterprise data (KED) for the year of 2015. We found 97 clusters having more than 10 firms and remarkable 13 clusters having more than 90% sales of the electronic industry in Korea. Clusters are the groups of companies having most of their transactions in the clusters they belong to. We found 5 clusters have 83% of sales in the electronic industry. Most of clusters have main single firms having most of the sales in each clusters except a few clusters. However, we found a few firms to have high rear production linkage effect and found the firms with high linkage effect specially for the small and medium size enterprise (SME). The companies with high production linkage (specially on SMEs) should be managed in terms of (SME) growth policy. The last firm group consisting of the small clusters with less than 10 firms has high employment coefficients. The clusters or company having high production linkage effect on this last firm group should be noted in the terms of employment policy. We also note that there exist the firms with the high value of betweenness coefficients meaning high potential of technology development. They should be managed carefully in terms of technology development policy.

Ensemble Learning-Based Prediction of Good Sellers in Overseas Sales of Domestic Books and Keyword Analysis of Reviews of the Good Sellers (앙상블 학습 기반 국내 도서의 해외 판매 굿셀러 예측 및 굿셀러 리뷰 키워드 분석)

  • Do Young Kim;Na Yeon Kim;Hyon Hee Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.4
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    • pp.173-178
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    • 2023
  • As Korean literature spreads around the world, its position in the overseas publishing market has become important. As demand in the overseas publishing market continues to grow, it is essential to predict future book sales and analyze the characteristics of books that have been highly favored by overseas readers in the past. In this study, we proposed ensemble learning based prediction model and analyzed characteristics of the cumulative sales of more than 5,000 copies classified as good sellers published overseas over the past 5 years. We applied the five ensemble learning models, i.e., XGBoost, Gradient Boosting, Adaboost, LightGBM, and Random Forest, and compared them with other machine learning algorithms, i.e., Support Vector Machine, Logistic Regression, and Deep Learning. Our experimental results showed that the ensemble algorithm outperforms other approaches in troubleshooting imbalanced data. In particular, the LightGBM model obtained an AUC value of 99.86% which is the best prediction performance. Among the features used for prediction, the most important feature is the author's number of overseas publications, and the second important feature is publication in countries with the largest publication market size. The number of evaluation participants is also an important feature. In addition, text mining was performed on the four book reviews that sold the most among good-selling books. Many reviews were interested in stories, characters, and writers and it seems that support for translation is needed as many of the keywords of "translation" appear in low-rated reviews.

A Research on the Actual Condition of Silver Apparel Brands (실버의류 기성복업체의 실태조사 연구)

  • Chung Sham-Ho;Kim Soo-A
    • Journal of the Korean Society of Costume
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    • v.56 no.4 s.103
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    • pp.15-32
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    • 2006
  • The purpose of this study is to research on the actual condition of production and selling in silver apparel market. For the questionnaire, 19 women's wear brands which were in higher ranking of sales in boutiques and madame-zone of department stores were selected. Pattern makers of each brand were questioned about 40 items for this research. The results of the questionnaire were as follows: 1) According to the result of the survey on the made-to-wear production of 19 ready-to-wear manufacturers, there was the gap was in ages between the target and the real consumer. Consumers of these brands were older and aged more broadly than their target ages. 2) Most of the consumers of silver-zone has thick waists, common heights, fat shapes. Custom-made clothes are ordered in many cases because of the big abdomen(50.0%) and H-shape(58.3%) of a somatotype. The body size variation of user population is needed for a good fit. 3) All brands(100%) of this research are using KS standards in the label of clothing, but they don't use these data in their production by reason of unawareness and distrust about these data. These inconsistency between the label and the real size of products may cause a confusion when consumers buy ready-to-wear. 4) Silver apparel manufacturers have need of anthropometry information and dummy(78.6%) suitable for their target consumers to increase their satisfaction about their apparel fit.

Antecedent Variables that Influence Personalization in Apparel Products Shopping - Clothing Involvement, Monthly Clothing Expenditures, Additional Expenses - (개인화된 의류상품과 서비스에 대한 소비자 태도에 영향을 미치는 요인)

  • Kim, Yeon-Hee;Lee, Kyu-Hye
    • Journal of the Korean Society of Costume
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    • v.58 no.4
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    • pp.58-71
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    • 2008
  • The demand for personalized products and service of apparel product has increased dramatically. In order to acquire a personalized apparel product, consumers may have to sacrifice more expense or time. The purpose of this study was to investigate various personalization strategies in apparel business and to identify antecedents that influence the process. Clothing involvement and two price related variables (clothing expense and willingness to pay more) were included in the study as antecedents. Four personalization strategies were included in the study: design selection, size customization, in-store service and promotion personalization. For an empirical study, a conceptual model was designed and research questionnaire was developed. A measure of personalization of apparel shopping was developed based on existing scale items of prior research and a pilot study. Data from 766 men and women in their twenties to forties were used for statistical analysis. Structural Equation Modeling was used for the data analysis. Results indicated that the conceptual model was a good fit to data. Structural paths indicated that there was significant influence of clothing involvement on design selection and sales promotion personalization strategies. Involved consumers spent more on chothing products and were likely to pay more on personalized products and services. Monthly clothing expense influenced size customization significantly. It also had negative influence on service related personalization strategies. Consumers were willing to pay more when it comes to product related personalization strategies such as design and size but not necessarily to service related strategies. This study was an attempt to provide an in-depth and synthesized approach on consumer attitudes toward personalization of apparel products.

A Study on Using the Interior Finishing Material using Regulation at Multiple-using Businesses (다중이용업소 실내마감재료 사용기준에 관한 연구)

  • Kim, Yong-Sung;Cho, Sung-O
    • Korean Institute of Interior Design Journal
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    • v.22 no.5
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    • pp.216-224
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    • 2013
  • There are the relevant provisions that apply to building regulations about the Building codes, Fire Protection laws, and more Multi-using interior finish materials businesses etc. The differences between these regulations are as follows: The Building codes is defined the main use of the building according to facilities to used to set the scale by the use of the floor space, On the other hand, Fire Protection laws are the basic purpose and the act of using the architectural space(or sales) by separating object by fire. And Multiple-using Businesses Facilities consist of two regulations engaged in the kind of law and the size of the floor area. One building can not be based on operating facilities and together in Multiple use businesses Law. As such, the Buildings are applied to the Building codes, Fire Protection laws, such as Multi-using Businesses Facilities interior construction industry due to the structural differences in the position of the designer feeling a lot of difficulties and confusion. The Multi-use businesses Facilities engage in the kind of law, the size of the floor area and seating capacity. These can not be based on operating facilities, and consists of two regulations together in one building. This study is purposed to help improving the finish of the interior architecture that is related to the Building code regulations, Fire Protection laws, Multi-using Facilities interior finishing material relevant with the provisions from the law through analyze the case of developed countries, and the current Multiple use Businesses Facilities research range from the law of multiple-using facilities, interior finishing, interior architecture for supervision reasonably and compensation for the interior design. So, Result is as follows: First, interior decorations can be separated the fixed material and the moveable things. second, It should be included multi-using Business though small size business space at the basement floor. third, It should be established statute law that design and construction responsibility. forth, re-testing fire resist performance after some period. and finally, it need to mitigate regulation where be installed sprinkler.