• 한국콘텐츠학회논문지
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• 제18권6호
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• pp.608-616
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• 2018

다양한 여가생활이 늘어나면서 그 중에서도 접근성이 좋은 스포츠 관람이 인기가 많다. 2008년 베이징 올림픽 금메달의 쾌거를 기록한 프로야구는 4대 구기 종목 중 단연 인기가 높다. 최근엔 중계권 수익과 더불어 구단에서는 다양한 판매 상품을 개발하여 수익을 얻고자 한다. 하지만 스포츠 상품 관련은 한국보다 일본의 프로야구단들이 더 앞서 있고 상품판매로 얻는 수익도 많다. 어떤 차이가 있어 양국의 상품판매가 차이가 나는 것인지 비교해보고자 한다. 국내 프로구단 최초로 흑자를 기록한 '롯데 자이언츠'와 일본 프로구단 중에서 40년 이상 흑자를 기록하고 있는 '히로시마 도요 카프'를 선정하였다. 구단의 매출액부터 오프라인, 온라인 숍, 그리고 상품 구성과 그 상품 구성에 영향을 끼친 요인을 비교하여 두 구단의 상품 구성의 차이점을 분석해보고자 한다. 분석 요인에는 총 3가지 요인을 선정해 분석하였다. 가격에 따른 요인에는 프로야구참여 관련특성 지출비용 변인과 각 구단의 상품가격대를 이용해 분석하였고, 대상에 따른 요인은 여성대상의 상품과 영 유아 대상의 상품을 이용해 분석하였다. 캐릭터 디자인에 따른 요인에서는 공식 캐릭터와 판매용 캐릭터의 비교를 통해 분석하였다.

• 한국조리학회지
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• 제15권2호
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• pp.231-242
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• 2009

호텔 연회에서 가장 중요한 정보 중 하나는 매출액 자료이다. 매출액 예측은 비용을 절감시키고 인력 배분의 효율성을 증가시키고 급변하는 환경에서 경쟁하는 능력을 향상시키는 데 도움이 되는 정보를 제공한다. 본 연구는 국내외 연구에서 적합한 예측모형으로 평가되고 있는 ARIMA 모형을 이용하여 호텔 연회장의 매출액을 예측하였다. 분석을 위해서 사용한 자료는 서울 소재 GI 호텔 연회장의 월별 매출액 자료를 사용하였으며, 분석 결과 SARIMA(2,1,3)(0,1,1)가 최종적으로 추정되었다. 본 연구의 시사점은 국내외 연구에서 적합한 예측모형으로 평가되고 있는 ARIMA 모델을 호텔 연회장의 월별 매출액 자료에 적용하였다는 점과 호텔 연회 실무자들에게 참고자료로 사용할 수 있는 유용한 정보를 제공하였다는 점을 들 수 있다.

• 유통과학연구
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• 제15권8호
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• pp.5-14
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• 2017

Purpose - This study empirically analyses the sale changes in large retail stores directly resulting from increased controls on those stores. More specifically, we discuss the economic impacts on Korean regulations that restrict trading hours and mandate statutory store closure 'holidays' twice per month. Research design, data and methodology - we attempt to empirically analyse the economic effects of trading hours regulations through quantitative analysis of the sales revenue data of large retail stores. We introduce the data and methods of empirical analysis used to analyse the economic effects of trading-hour regulations on large retail stores. We use a panel regression to analyse the sales losses of large retail stores caused by the new constraints on business hours. Results - The results of this study show that the sales of large retail stores fell by the average of 3.4% per month during the regulation periods. However, regulations affecting large retail stores have various economic impacts, including variations in sales, changes in consumption patterns, and influences on consumer welfare and national economy. Conclusions - Such changes may also be captured by other metrics: accordingly, further researches are needed to measure the impact of regulations on economic indicators such as employment and GDP.

• 한국컴퓨터정보학회논문지
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• 제23권4호
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• pp.155-165
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• 2018

In this paper, We conducted to find out what factors may affect the development of franchise businesses by reviewing the success factors of the domestic franchise business. The research was conducted by the CEOs of Gwangju and Jeonnam Franchise Business and a total of 137 items were used in the empirical analysis. Factors influencing success of the franchise business were designed in five areas : ability of the franchise CEO, franchise system, brand management, capacity of the parent store, and product differentiation. We conducted multiple regression analysis and simple regression analysis for the research assumptions, Validation of the relationship between variables revealed that the ability of the franchise CEOs, franchise systems, brand management, and product differentiation did not significantly affect the increase in member sales, so the ability of the shareholders to increase their sales was important. However, the impact on revenue growth at franchise headquarters has all been significant, The increase in sales of franchises has a significant influence on the increase in profits of franchise headquarters, the report said. It was also found that an increase in the sales of franchises has a significant influence on the success of franchises. Finally, it was revealed that increasing profits at franchise headquarters significantly affects the success of the franchise business.

• 한국콘텐츠학회논문지
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• 제19권4호
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• pp.432-445
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• 2019

산업과 기술은 상호작용을 통해 발전하고 있기 때문에 기술의 대용지표로 활용되고 있는 지식재산권은 산업과 밀접한 관계를 맺고 있다. 본 연구에서는 재난안전산업 기업의 규모 업종별 지식재산권 현황을 파악하고 지식재산권 보유여부에 따른 매출액의 차이를 분석하고자 하였다. 분석결과, 재난안전산업 49,538개 기업 중 2.66%만 지식재산권을 보유하고 있어 대부분의 기업이 지식재산권을 보유하지 않은 것으로 나타났다. 지식재산권 보유여부에 따른 매출액 규모의 비교결과, 중견기업, 중기업, 소기업 모두 지식재산권 보유기업이 지식재산권 미보유기업보다 각각의 평균매출액이 높았고 특히, 중기업과 소기업은 매출액의 차이가 통계적으로도 유의미한 것으로 나타났다. 또한 재난안전산업 특수분류 21개 업종 중 17개 업종에서 지식재산권 보유기업이 지식재산권 미보유기업보다 평균매출액이 높았고, 이 중 10개 업종은 통계적으로도 유의미한 것으로 나타났다. 결론적으로 소규모 기업의 비율이 높고, 다양한 분야가 혼재되어 있는 국내 재난안전산업은 지식재산권 보유여부가 기업의 매출액 차이와 연관되어 있는 요소임을 발견하였다.

• 디지털융복합연구
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• 제19권8호
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• pp.337-343
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• 2021

본 연구는 디자인을 공부하는 학생 사용자, 혹은 디자이너로 일하고 있는 사용자를 중심으로 월간 <디자인> 잡지 구독 서비스의 사용자 경험에 관한 연구이다. 잡지 산업의 매출액은 2012년 이후 지속적으로 감소하고 있으며, 국내에서 발행되는 일부 잡지는 폐간 혹은 영구 휴간 절차를 밟았다. 이 연구는 잡지 매출액의 가장 큰 부분을 차지하는 잡지 판매 수입을 증대하기 위해 월간 <디자인>을 중점으로 잡지 구독 서비스의 사용자 경험을 측정하였다. 이를 위해 구독자와 비구독자 대상으로 설문조사 및 심층 인터뷰를 실시하여 개선사항을 제안하였다. 이 연구는 사용자 경험에 초점을 두었으며, 향후 잡지 구독 서비스 연구에 참고자료로 활용할 것으로 기대한다.

• 유통과학연구
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• 제10권12호
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• pp.5-11
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• 2012

Purpose - This paper proposes measurement models to evaluate the management performance of small and medium-sized retail businesses on the basis of a trading area analysis that compares their proposed revenue to actual revenue in the trading area. Research design, data, methodology - The study proposes measurement models consisting of five stages, namely: (1) district background survey, (2) customer survey, (3) competitor survey, (4) business district survey, and (5) business performance analysis. Results - To identify business districts easily, this study preferred a minor-adjusted method based on the Euclidean distance, as it is simple to employ for the small and medium-sized businesses. This model was applied to select coffee shops in Daejeon. Results indicated that although the targeted shop was not located in an appropriate location, actual sales were higher than expected. Conclusions - Small- or medium-sized retail businesses face difficulties regarding the economies of scale and brand recognition and must choose an appropriate location to ensure management stability. However, such businesses will find it difficult to evaluate their competitive edge accurately using a trading area analysis.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 A
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• pp.661-663
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• 2003

Electric generation cost in district Heating CHP system has close relationship with the level of heating price. So far, the calculation of CHP generation cost has been based on cost recovery system in which revenue requirement deducted the revenue from heating-sales. The restructuring of electricity industry determines the market-clearing price every hour and made it impossible that the loss due to the above market cost can be attributed to the generation cost. Hence, the loss is compensated by energy subsidy program in public benefit charge. This analysis derives an efficient action plan for future subsidy program.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.904-913
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• 2005

This paper deals with an integrated problem of inventory control and dynamic pricing strategies for a commodity with price and sales-period dependent demand pattern, where a seller and customers have complete information of each other. The problem consists of two parts; one is each buyer's benefit problem which makes the best decision on price and time for buyer to purchase items, and the other one is a seller's profit problem which decides an optimal sales strategy concerned with inventory control and discount schedule. The seller's profit function consists of sales revenue and inventory holding cost functions. The two parts are closely related into each other with some related variables, so that any existing general solution methods can not be applied. Therefore, a simplified model with single seller and two customers in considered first, where demand for multiple units is allowed to each customer within a time limit. Therewith, the model is generalized for a n-customer-classes problem. To solve the proposed n-customer-set problem, a dynamic programming algorithm is derived. In the proposed dynamic programming algorithm, an intermediate profit function is used, which is computed in case of a fixed initial inventory level and then adjusted in searching for an optimal inventory level. This leads to an optimal sales strategy for a seller, which can derive an optimal decision on both an initial inventory level and a discount schedule, in $O(n^2)$ time. This result can be used for some extended problems with a small customer set and a short selling period, including sales strategy for department stores, Dutch auction for items with heavy holding cost, open tender of materials, quantity-limited sales, and cooperative buying in the on/off markets.

• 유통과학연구
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• 제11권5호
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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.