• 문화기술의 융합
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• 제4권3호
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• pp.127-132
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• 2018

본 연구는 부산시 아파트 분양광고의 내용분석을 통하여 광고 표현의 메시지 지향성에 관하여 조사하였다. 부산지역 신문광고를 대상으로, 아파트 분양광고의 광고소구 방식 및 메시지 유형을 분석하였다. 브랜드(전국기반 브랜드, 지역기반 브랜드)에 따라 광고소구 방식(이성적 소구, 감성적 소구)과 메시지 지향성(환경지향성, 감성지향성, 투자지향성, 기능지향성)으로 분류하여 조사하였다. 연구결과, 부산시 대부분의 아파트 분양 광고가 이성적 소구를 사용한 것으로 나타났다. 전국기반 브랜드는 이성적 소구와 감성적 소구가 비슷하게 사용된 것에 비해 지역기반 브랜드는 이성적 소구의 사용이 큰 비중을 차지하였다. 광고 메시지 지향성은 투자지향성과 감성지향성의 비중이 가장 높은 것으로 나타났다. 경제적 이익이나 프리미엄을 나타내는 투자지향성 메시지의 사용이 가장 많은 것으로 나타났으며 그 다음으로 자부심, 행복을 나타내는 감성지향성 메시지의 사용이 높은 것으로 나타났다. 이러한 결과는 광고 표현 전략의 차이가 브랜드 간에 존재하는 것으로 해석된다. 이와 같은 연구 결과들은 아파트 분양광고의 메시지 전략에 유용한 실무적 시사점을 제공할 것으로 기대한다.

• Journal of Information Technology Applications and Management
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• 제11권3호
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• pp.89-116
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• 2004

Insurance companies are in a fierce race to catch a new customer. In this situation. sales force automation technologies are often used to support customer relationship management strategies. This study sets out a research model predicting SFA(Sales Force Automation) usage through theoretical studies. Survey data were collected from 145 salespeople across 2 firms that had implemented sales force automation tools and hypotheses were tested empirically. Data were analyzed by path-analysis method of AMOS. The major findings of this study are as follows: Computer self-efficacy, user involvement and voluntariness have a statistically significant influence on the positive perceptions of SFA. These perceptions have a statistically significant influence on user satisfaction and usage of SFA. while user satisfaction has a statistically significant influence on SFA usage. This paper concludes with the discussion of these results and their implications for academic researchers and insurance company managers.

• Industrial Engineering and Management Systems
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• 제14권2호
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• pp.196-209
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• 2015

Retail sales forecast is a special area of forecasting. Its unique characteristics call for unique data models and treatment, and unique forecasting processes. In this paper, we will address lessons learned and challenges encountered in retail sales forecast from a practical and technical perspective. In particular, starting with the data models of retail sales data, we proceed to address issues existing in estimating and processing each component in the data model. We will discuss how to estimate the multi-seasonal cycles in retail sales data, and the limitations of the existing methodologies. In addition, we will talk about the distinction between business events and forecast events, the methodologies used in event detection and event effect estimation, and the difficulties in compound event detection and effect estimation. For each of the issues and challenges, we will present our solution strategy. Some of the solution strategies can be generalized and could be helpful in solving similar forecast problems in different areas.

• 한국의상디자인학회지
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• 제10권2호
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• pp.163-178
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• 2008

The purpose of this study is to search the characteristics and strategy of sales promotion in on-line fashion SOHO (Small Office Home Office) shopping malls. 87 of these shopping malls have been selected through a ranking service called 100HOT (http://www.100hot.co.kr), and 906 cases of sales promotion activities have been executed on web-sites of these shopping malls. The cases have been analyzed by descriptive statistics and chi-square analysis. The results are as follows: First, on-line fashion SOHO shopping malls have frequently used sales promotion tactics such as demonstration, display, viral marketing, sale, event, customer compensation, community marketing, experimental marketing, coupon, premium, reserve fund and delivery service. Second, there are significant differences between shopping malls for men and women in sales promotion tactics such as demonstration, viral marketing, sale, and community marketing, but there is no significant difference in tactics such as demonstration, event, and customer compensation. Third, the shopping malls have used various sales promotion strategies such as maximizing the sales, characterizing product features, procuring new customers, preserving existing customers, enhancing customer loyalty, improving customer relationship and controlling returns.

• 한국의류학회지
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• 제46권5호
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• pp.868-889
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• 2022

Fashion companies are using a big data approach as a key strategic analysis to predict and forecast sales. This study investigated the effectiveness of the past sales, web search volume, information amount, brand promotion, and the advertising endorser on the sales forecasting model. The study conducted the autoregressive distributed lag (ARDL) time series model using the internal and external social big data of a national fashion brand. Results indicated that the brand's past sales, search volume, promotion, and amount of advertising endorser information amount significantly affected the sales forecast, whereas the brand's advertising endorser search volume and information amount did not significantly influence the sales forecast. Moreover, the brand's promotion had the highest correlation with sales forecasting. This study adds to information-searching behavior theory by measuring consumers' brand involvement. Last, this study provides digital marketers with implications for developing profitable marketing strategies on the basis of consumers' interest in the brand and advertising endorser.

• 복식
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• 제51권5호
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• pp.29-43
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• 2001

Database marketing is a series of marketing activities based on the customer database for increasing the customer's life-time value. In this thesis. we applied database marketing to the sales promotional strategies of Casual Korean Traditional Clothes to activate wearing of Casual Korean Traditional Clothes. To achieve this goal, we surveyed the consciousness of wearing and purchases for Casual Korean Traditional Clothes. and extract information that can be utilized in the sales promotional strategies. According to the result, the proposed sales promotional strategies for Casual Korean Traditional Clothes are summarized as follows : (1) Useful information for the customer should be stored in the database and utilized in the marketing. (2) It is necessary to shorten the cycle of repeated purchases by emphasizing daily-life clothing of Casual Korean Traditional Clothes especially for the aged 20-40. (3) Since Casual Korean Traditional Clothes are usually weared as a ceremonial clothes in the fall, direct mail, fashion show, and advertising in the mass media should be concentrated on this season. (4) Value-added marketing should be derived by cross-selling of items harmonized with Casual Korean Traditional Clothes. (5) To guarantee fixed customers and increased usage of Casual Korean Traditional Clothes, - give point score, discount, or selling on an installment basis for the customers who use credit cards or department cards. - select privileged customers by analyzing purchase history and provide multiple services for these customers. - let the customers rent Casual Korean Traditional Clothes in an appropriate cost, and make customer cards for the construction of elaborated customer database. (6) To increase the acknowledgement of Casual Korean Traditional Clothes, not only Persistent publicity, but also fashion show, visual merchandising, and advertisement in mass media should be conducted as well.

• 복식문화학회:학술대회논문집
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• 복식문화학회 2004년도 International Conference
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• pp.39-43
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• 2004

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.555-558
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• 2002

분양률은 부동산의 대부분을 차지하고 있는 아파트 시장의 경기와 전망을 예측하거나 정부정책기관 및 관련기업 등에서 중${\cdot}$장기적인 정책이나 전략을 수립하는데 있어서 중요한 변수이다. 하지만, 이에 대한 확실한 개념과 분양률의 영향변수에 대한 관계성이 제대로 정립되지 않아서 체계적인 접근 및 분석방법의 기준을 제시하는 데에 어려움이 있다. 이러한 근거로 본 연구에서는 분양률에 영향을 미치는 변수를 요인별로 도출하여 이를 영향변수로 정의한 다음, 각 요인별 영향변수들 간의 상관관계를 분석하고 이를 전체적으로 파악할 수 있도록 모든 요인별 영향변수들에 대해서 도식화한 분석모델을 제시하고자 한다.

• 복식
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• 제59권1호
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• pp.146-158
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• 2009

The purpose of this study was to identify hair salon's implementation strategies and current service condition for mass customization. The questionnaire was composed of 82 questions. 115 hair salon's directors were subjects of this study. The results were as follows: Hair salon's mass customization strategies were categorized into 6 factors such as staff's technique, communication service, electronic products, monetary support, man-to-man service, and dissatisfaction removal service. Hair salons were categorized into 2 groups of a high implementation group and a low implementation group. A high implementation group had a higher monthly sales and more regular customers and staff. The hair salons were franchises and were more spacious in the high group. They were located at fashion street, department store, or outlet mall, and offered fashionable hair styles. However, a low implementation group had a lower monthly sales and less regular customers and staffs. The size of hair salon was small in the low group. They were located in residential areas and offered basic hair styles.

• Asian Journal of Business Environment
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• 제8권1호
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• pp.31-38
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• 2018

Purpose - This study aimed to verify some cues for invigorating sales of mobile social commerce companies by analyzing differences in consumers' perceptions on characteristics of mobile commerce, after applying the step 1 of strategy deduction approach using the differences in their perceptions. Research design, data, and methodology - Efficient questionnaires of a total of 365 respondents who answered the questions about the importance of and the satisfaction with 14 characteristics of social commerce were returned, and then, paired-samples t-test and IPA by all respondents, gender, age and incomes were conducted. Results - The analysis showed that a maintenance/reinforcement strategies planned by companies are required for some factors including discount rate at the first quadrant, while active improvement strategies are required for others including reliability and interactivity at the second quadrant. Conclusions - The findings show that different marketing strategies should be established for each consumer who often uses mobile social commerce, and that more effective and efficient performance of mobile social commerce may be acquired by establishing and operating active improvement strategies.