• Journal of Distribution Science
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• v.2 no.1
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• pp.17-38
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• 2004

우루과이 라운드(UR)의 협상이 체결된 후 한국의 유통시장에서는 편의점, 할인점, 쇼핑센터, 무점포판매 등 다양한 소매업태가 생성되었고, 그러한 소매업태의 발전은 매출액, 종업원수, 매장면적의 증가율에서도 괄목할 만한 성장을 보이고 있다. 본 논문에서는 이러한 소매업태의 생성과 발전 과정에서 존재하고 있는 법칙을 찾는데에 초점을 맞춰 기존의 소매업태의 발전 이론의 논리적 특징과 전개방향을 검토하였다. 기존의 연구 성과를 검토한 결과, 1960년부터 최근에 이르기까지 소매업태 발전의 다양한 패턴을 설명하는 포괄적 이론을 제시하고 있지만 그러한 연구 결과는 개념적인 틀의 제시에 머물고 있고, 경험적 연구로의 발전을 보이고 있지 않았다. 그 이유에 대해서는 두 가지를 들 수 있다. 첫 번째, 소매업태에 대한 정의의 불명확함이다. 두 번째, 소매업태의 격 올림을 촉진시키는 내부 요인에 대해서는 논의하고 있지만, 격 올림한 소매업태가 시장에서 수용될 것인지에 대해서는 고려하지 않고 있다는 점이다. 따라서, 이 두 가지 연구 과제를 해결하는 것이 앞으로 소매업태의 생성·발전 이론을 체계화하는 데 관건이 될 것으로 생각된다.

• Annual Conference of KIPS
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• 2012.11a
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• pp.1591-1594
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• 2012

본 논문에서 제시하는 시스템은 스마트 폰의 문자함을 읽어 이미 저장되어 있는 쿠폰을 효율적으로 관리하는 시스템으로, 사용자는 판매자에게 쿠폰을 제시할 때 문자함을 찾지 않아도 유효기간 순으로 잘 정렬된 쿠폰을 찾을 수 있고, 사용자가 제 때 쿠폰을 사용하지 못하고 버리는 일이 없도록 사용자의 쿠폰을 통합 관리한다. 본 논문의 제안 시스템을 이용하면 사람들이 쿠폰을 사용하도록 유도하여 추가 구매가 일어나도록 한다. 사용이 완료된 쿠폰은 폐기하지 않고 나중에 사용자의 소비/구매 패턴을 파악하고, 이 작업을 실시간으로 실행하여 사용자가 많이 사용하는 물품을 쿠폰으로 제공하여 회사의 매출을 증대시킨다.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.372-380
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• 2010

Generally, data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data mining is one of the fastest growing field in the computer industry. Because of According to computer technology has been improving, Massive customer data has stored in database. Using this massive data, decision maker can extract the useful information to make a valuable plan with data mining. Data mining offers service providers great opportunities to get closer to customer. Data mining doesn't always require the latest technology, but it does require a magic eye that looks beyond the obvious to find and use the hidden knowledge to drive marketing strategies. Automotive market face an explosion of data arising from customer but a rate of increasing customer is getting lower. therefore, we need to determine which customer are profitable clients whom you wish to hold. This paper builds model of customer loyalty detection and analyzes customer buying patterns in automotive market with data mining using decision tree as a quinlan C4.5 and basic statics methods.

• KDI Journal of Economic Policy
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• v.15 no.2
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• pp.121-160
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• 1993

본고(本稿) 1981~92년의 부당한 공동행위(共同行爲) 및 사업자단체금지행위(事業者團體禁止行爲) 심결례(審決例)들을 통해 우리나라 사업자들의 담합(談合)패턴과 특징(特徵)을 살펴보고 이를 바탕으로 담합규제법제(談合規制法制)와 그 운용상(運用上)의 문제(問題)들을 검토하여 담합규제(談合規制)의 실효성(實效性) 제고(提高)를 위한 경쟁정책적(競爭政策的) 대안(代案)들을 제시하고 있다. 우리의 담합규제법제(談合規制法制)와 법시행방법(法施行方法)은 은밀하고 지속적인 담합(談合)보다는 담합(談合)의 직접적 증거를 남길 가망이 많은 명시적(明示的) 공모행위(共謀行爲)의 적발(摘發)로 기울어져 있는 것으로 보인다. 사실, 담합사건(談合事件)들이 경쟁적(競爭的) 시장(市場)에 편재(偏在)되어 있고 사업자간(事業者間) 및 사업자단체(事業者團體) 공동행위(共同行爲)의 평균공모기간(平均共謀期間)이 각각 8개월과 10.7개월에 지나지 않는다는 것은 적발 시정조치된 행위(行爲)가 주로 담합(談合)의 시도(試圖)였음을 시사하는 것이다. 또한 가격고정공모(價格固定共謀)의 평균가격인상율(平均價格引上率)이 18%임을 감안할 때 담합실행기간(談合實行期間) 매출액(賣出額)의 1%라는 현재의 최고(最高) 과징금액(課徵金額)은 부당이득환수(不當利得還收)나 행정제재(行政制裁)의 어떤 측면에서도 그 실효성(實效性)이 극히 의심스러운 적은 금액이며, 거의 모든 위법행위(違法行爲)에 대하여 시정조치(是正措置)만이 취해지고 담합사업자(談合事業者)들에게 과징금(課徵金)이나 형사벌(刑事罰)이 부과되는 경우도 극히 드물어 담합억지효과(談合抑止效果)가 의문시되고 있다. 담합규제(談合規制)의 실효성(實效性) 제고(提高)를 위해서는 경쟁(競爭)의 실질적(實質的) 제한성(制限性)이 아니라 경쟁제한(競爭制限)의 부당성(不當性)을 위법성(違法性) 판단기준으로 하여 가격고정(價格固定), 입찰조작(入札操作), 시장분할(市場分割) 등 '적나라한' 담합(談合)에 대한 당연위법원칙(當然違法原則)을 확립하고, 과징금(課徵金)을 담합기간(談合期間) 매출액(賣出額)의 20% 정도로 상향조정(上向調整)하여 담합(談合)에 대한 핵심적 제재수단(制裁手段)으로 활용하여야 한다, 또한 담합(談合)의 적발(摘發) 입증노력(立證努力)에 경제적(經濟的) 분석(分析)과 증거(證據)를 이용하고, 특히 입찰조작(入札操作)의 감시(監視) 적발체제(摘發體制)를 확립하여 공공조달분야(公共調達分野)에 대한 경쟁정책(競爭政策)을 강화해야 하며, 묵시적(默示的) 담합(談合)을 가능케 하면서도 합의(合意)로 간주될 수 없는 담합촉진(談合促進) 기도행위(企圖行爲)를 금지할 법적(法的) 근거(根據)를 마련해야 할 것이다.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.79-85
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• 2022

In order to promote active sales growth in the rapidly changing modern society's makeup market, it is now time to analyze makeup colors closely in line with current trends. Therefore, in this study, professional women from Gwangju Metropolitan City and Jeollanam-do were treated and analyzed with the statistical SPSS 21.0 package program for colors such as makeup base, eyebrow, lip, and cheek, and the reasons for their preference. As a result of the study, yellow makeup base, black eyebrow, red lip, and red cheek color were preferred. This study will be provided as basic data for the development of various makeup patterns and novel makeup color items, and it is believed that it will contribute directly or indirectly to increased sales while gaining an edge in the modern makeup market.

• Information Systems Review
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• v.19 no.3
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• pp.127-154
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• 2017

This study aims to identify various service innovation patterns in the service industry and understand the main differences among them. We attempt to create a new typology of service innovation by analyzing its patterns based on the four major dimensions of service innovation (i.e., service concept, service delivery, customer interaction, and technology). We then investigate whether firms pursuing different service innovation patterns significantly differ from one another in terms of their performance (high and low performance). Based on empirical data collected from 198 Korean firms in the knowledge-intensive business service sector, four major clusters composed of different service innovation dimensions are identified. These four clusters can be interpreted as specific service innovation patterns, including "technology based high customer interaction," "high technology based high service delivery," "service delivery and high customer interaction-integrated," and "strongly balanced" innovators. High firm performance does not depend on the individual service innovation dimension but on the specific configurations of such service dimensions. Customer interaction also has an important role in achieving innovation success and improving firm performance, while technology has a key role in enhancing firm performance. This study sheds new light on service innovation research by developing a new typology of service innovation, identifying four major clusters as service innovation patterns, and exploring the relationship between service innovation patterns and firm performance.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.117-141
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• 2006

Daily sales volume in retailers seems to be changed because of five-days-work in a week resulting in growth of leisure time in Korea recently. The day of the week effect of sales volume that can not be theoretically explained, which sales pattern varies depending on days systematically and consistently, is so important. Especially the day of the week effect of sales volume exists in which retail branch and the extents of the day of the week effect from the perspective of marketing in retailing is very important. Thus, the purpose of this study was to investigate whether the day of the week effect of sales volume exists in men's clothing retailers and if so, there is difference in daily sales volume. There was insufficient researches in the field of anomaly such as the day of the week effect of sales volume in marketing. For this reason, this study has drawn upon research findings of finance, general demand theory, and previous studies of the day of the week effect in stock markets. In doing so, these works are referenced in theoretical background and applicability in retailing market of this study. This study empirically investigated the day of the week effect of sales volume through the revenues of a men's clothing retailers (P company) in past five years. As the result of this study, the day of the week effect of sales volume existed in men's clothing retailers and the day of the week effect showed positive from Monday to Sunday, which means Sunday, the biggest. Also, the day of the week effect by season was different. The result of this study is expected to provide some helpful evidence that offers effective operational strategies to retailers.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.79-87
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• 2011

Cost control is an exceedingly fundamental and important construction business function. Even though enormous research efforts have been exerted in this area, there has been no comprehensive and quantitative study exploring detailed cost control practice of construction companies in terms of practical patterns and trends. This paper identified the variables for practical cost control process first. A survey questionnaire was developed and used in order to collect data from Korean general contractors. Survey results analyzing responses from 45 companies show that engineering aspects of cost management has recently been strongly stressed in the construction industry. Applying various types of progress measurement method are getting popular, and the level of details in collecting job site cost data are prevalent. Cost forecasting are performed more frequently. These trends indicates the recent efforts by Korean general contractors to achieve competitive advantages in the globalized market.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.88-96
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• 2011

Schedule control is an exceedingly fundamental and important construction business function. Even though enormous research efforts have been exerted in this area, there has been no comprehensive and quantitative study exploring detailed cost control practice of construction companies in terms of practical patterns and trends. In this context, this paper surveyed the patterns and trends of schedule control practice of Korean general contractors. Schedule control process as compared to schedule reduction is focused in this paper. The variables for practical schedule control process were identified first. A survey questionnaire was then developed and used in order to collect data from Korean general contractors. Survey results analyzing responses from 45 companies show that scheduling processes in practice have been significantly enhanced in terms of software tools, manuals, and capabilities of engineers.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.13-21
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• 2021

This study aims to analyze tourist inflow trends and consumption patterns using a geographic information system and big data analysis system. Songdo Central Park and Chinatown were selected among the major tourist destinations in Incheon, and floating population analysis and card sales analysis were conducted for one month in June 2017. The number of tourists visiting Songdo Central Park from metropolitan cities across the country was highest in the order of Incheon Metropolitan City, Gyeonggi-do, and Seoul Metropolitan City, and the proportion of foreign tourists was the highest in China. The number of card consumption used by Chinatown tourists was 12.4% higher for men than for women, and the amount of card consumption was also higher for men by 18%. This study has implications for proposing a strategic plan for tourism policy by analyzing the inflow trend and consumption pattern of tourists and deriving major issues in the establishment of tourism policy. Based on this study, it is expected that it can be helpful in improving the construction of tourism infrastructure in the future.