• Journal of Distribution Science
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• v.14 no.11
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• pp.83-90
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• 2016

Purpose - During the last two years, convenient stores (CS) are emerging as one of the most fast-growing retail trades in Korea. The goal of this work is to forecast and to analyze sales at CS using ARIMA-Intervention model (IM) and exponential smoothing method (ESM), together with sales at supermarkets in South Korea. Considering that two retail trades above are homogeneous and comparable in size and purchasing items on off-line distribution channel, individual behavior and characteristic can be detected and also relative superiority of future growth can be forecasted. In particular, the rapid growth of sales at CS is regarded as an everlasting external event, or step intervention, so that IM with season variation can be examined. At the same time, Winters ESM can be investigated as an alternative to seasonal ARIMA-IM, on the assumption that the underlying series shows exponentially decreasing weights over time. In case of sales at supermarkets, the marked intervention could not be found over the underlying periods, so that only Winters ESM is considered. Research Design, Data, and Methodology - The dataset of this research is obtained from Korean Statistical Information Service (1/2010~7/2016) and Survey of Service Trend of Korea Statistics Administration. This work is exploited time series analyses such as IM, ESM and model-fitting statistics by using TSPLOT, TSMODEL, EXSMOOTH, ARIMA and MODELFIT procedures in SPSS 23.0. Results - By applying seasonal ARIMA-Intervention model to sales at CS, the steep and persisting increase can be expected over the next one year. On the other hand, we expect the rate of sales growth of supermarkets to be lagging and tied up constantly in the next 2016 year. Conclusions - Based on 2017 one-year sales forecasts for CS and supermarkets, we can yield the useful information for the development of CS and also for all retail trades. Future study is needed to analyze sales of popular items individually such as tobacco, banana milk, soju and so on and to get segmented results. Furthermore, we can expand sales forecasts to other retail trades such as department stores, hypermarkets, non-store retailing, so that comprehensive diagnostics can be delivered in the future.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.209-224
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• 2019

When evaluating the performance of a NPD(New Product Development) project, it is common to evaluate the project performance according to the achievement of the planned goal in terms of time, quality and cost management, which are usually three main constraints of the project. The evaluation of the financial factors by which sales contributed to the return of the company is more influential. This is why companies need to increase sales and raise profits. Therefore, it is more reasonable to evaluate the sales performance of NPD projects over a certain period of time against the input costs. At this time, we can analyze the causes of inefficient projects and compare them with other projects and find out how to improve the sales performance to help the company increase its competitiveness. In this paper, we analyze the relative efficiency of the sales performance on the input of the projects by using the actual sales in the period of one year after mass production of the NPD projects of 'S' company in ICT industry. Input factors include developer resource and development cost for the NPD reported after the project has been completed, the delay weeks for the schedule targeted at the project planning stage, and the number of quality issues due to development design faults during initial mass-production. The sales figure and the contribution margin of the product after one year from the start of mass production are defined as the output factors. In this paper, we analyze the efficiency of the projects by using data envelope analysis (DEA). As a result, we found out the reason of the inefficient project of DMUs according to the differences in the characteristics of the efficient and inefficient B2B markets based on the result of DEA of NPD projects. Thus, the goal of this paper is to identify strategies for improving sales performance of NPD projects in inefficient markets.

• The Research Journal of the Costume Culture
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• v.31 no.4
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• pp.519-532
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• 2023

The online shopping market is expanding, with online shopping malls now subdivided into personal computer(PC) and mobile versions. Meanwhile, various efforts to promote online sales are being carried out in a bid to improve performance, and detailed research is required to inform such strategies. The purpose of this study was to classify online shopping mall types into PC fashion malls and mobile fashion malls with the aim of assessing sales promotion satisfaction and investigating the relationship between sales promotion satisfaction and consumers' behavioral intentions. Data were collected by a survey firm in June 2023, and 248 copies of the data were used for analysis. SPSS 28.0 was used to process the data, and frequency analysis, factor analysis, reliability analysis, and regression analysis were performed. The satisfaction factors for various sales promotions used by PC and mobile fashion shopping malls were empirically subdivided in consideration of consumer perspectives, and potentially effective marketing strategies were presented. Differences were observed in the type of satisfaction with sales promotion between PC fashion shopping malls and mobile fashion shopping malls and in the effect of sales promotion satisfaction on behavioral intention. Based on the study's findings, effective sales promotion strategies that can increase satisfaction and enhance behavioral intention may be developed and implemented through the use of various and different sales promotion strategies in PC and mobile fashion shopping malls.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.259-265
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• 2008

Domestic industry has a long history, but it has been suffering for a long time due to its poor competitiveness in management ability, supply of materials, technological development, sales marketing, and distribution networks. Moreover, the industry has not established its strong presence in the world market but is exposed to increasingly greater agonies because of inactive domestic demands, increase rate of import versus export, diversified government policies, and non-selective introduction of high-quality and low-priced foreign named brands of ceramics into the country. Theses factors have partly contributed to consumers' low or negative recognition.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.4
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• pp.422-431
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• 2012

The influence of a marketing mix on the consumer purchasing process is well documented in academic fields; however, studies of when consumers purchase fashion brands or products in terms of the day-of-the-week effect and 10-days-of-the-month effect on various channels to a given brand in practice are limited in the fashion industry. This study empirically describes the purchase timing behavior for athletic shoes using daily sales data from a domestic brand in Korea from January in 2006 to December in 2010. The results show that Saturday and Sunday have significantly higher sales than weekdays. In addition, the first and third 10-days-of-the-month yield a higher sales volume than the second 10-days-of-the-month. The department store's sales volume (compared with discount and franchised stores) was higher in the first 10-days-of-the-month; however, the discount and franchised stores have a higher sales volume in the second 10-days-of-the-month. Three store types have no significant differences in sales volume for the third 10-days-of-the-month. Based on the results, in practice, marketers for a specific domestic brand can develop a new marketing expenditure plan, store supply plan, and cash-in and cash-out plan to maximize profits. This research can introduce constructs such as purchase timing distribution, the day-of-the-week effect, and the ten-days-of-the-month effect for the fashion industry.

• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.358-369
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• 2021

This study aims to classify the dimensions of the sales information of secondhand clothing goods on the C2C secondhand trading platform and to systematically analyze the components of each dimension. To this end, the NVivo 12.0 qualitative data analysis software was used. The content analysis showed that the sales information of secondhand clothing goods was classified into four dimensions: detailed information of the sale goods, information specific to secondhand clothing goods, seller opinion information, and service information. The components of each dimension were as follows. The detailed information of the sale goods included size, sale price, item, design, brand name, material, color, wearing season, fit, gender, etc. The information specific to secondhand clothing goods included the number of times the item was worn, its purchase history, and product condition. Seller opinion information included product review, sales motivation, notes for the transaction, coordination proposal, and usage proposal. The service information included the transaction mode, exchange·return·refund, and promotion. The frequency analysis showed that the highest frequencies were sale goods(37.47%), information specific to secondhand clothing goods(24.63%), seller opinion information(20.54%), and service information(17.37%). This study will help C2C secondhand trading platform managers or sellers establish clear standards for presenting sales information and developing ideas toward constructing differentiated platform contents.

• Journal of Fashion Business
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• v.3 no.4
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• pp.41-54
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• 1999

The purposes of the study were to investigate the job content of fashion merchandisers. The study examined the differences in the job content according to the types of merchandisers and their demographic characteristics. A questionnaire was developed by the authors and distributed to 150 fashion merchandisers, and 130 questionnaires were used for the study. The questions were revised through the pilot study and interviews with fashion merchandisers. The results of the study were as follows: Planning merchandise was the most important job to the planning merchandisers, purchasing merchandise to the buying merchandisers, planning sales and sales promotion to sales merchandiers. All three types of merchandisers were involved very much in the information analysis work. This study, on the basis of the above results, was expected to contribute to make the fashion merchandisers and students who want to be fashion merchandisers recognize their job content more clearly.

• Asia Marketing Journal
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• v.18 no.1
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• pp.1-22
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• 2016

Studies in key account management (KAM) have identified the importance of cross-functional coordination in firms to effectively implement KAM. However, these studies have ignored how companies integrate KAM and other customer management (non-KAM). This paper explores coordination design between KAM units and non-KAM units by analyzing a case study through three dimensions: front-end coordination, back-end-coordination, and organizational translation at the beginning of research. The case study shows that non-KAM conditions can require a modification of the coordination design. This research performs an in-depth analysis of changes in the implementation of sales reforms for an IT-related machinery and system vendor in Japan. Data sources include interviews with KAM units and non-KAM sales units and an analysis of secondary data. This paper suggests that studying the coordination between KAM units and non-KAM units will further our understanding of internal coordination in KAM research.

• Journal of Distribution Science
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• v.21 no.8
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• pp.57-68
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• 2023

Purpose: The research aims to investigate the development of market distribution through digital marketing transformation trends with the support of universities. This development strategy is to maximize sales turnover of limited liability companies' typical traditional beverage products. Research design, data, and methodology: The research design uses descriptive qualitative methods. Data were obtained by participatory observation, in-depth interviews, FGDs, and documentation. Results: The result shows that the partner's traditional product market distribution strategy has been carried out by adopting science and technology and expertise possessed by partner universities. Universities that are Partners have benefited from the implementation of the Independent Campus program. Conclusions: The conclusion from the findings is that business actors must collaborate with universities through the Kedaireka Matchmaking Fund Program. The collaboration will create the right strategy development for the business. The government needs to provide more access to finance in the future. The hope is that the traditional beverage industry and higher education can realize the ease of synergy contributing to national development and the vision of the Indonesian Ministry of Education and Culture's independent campus.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.349-359
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• 2010

The purpose of this study is to design the On-line Insurance Sales Support System using Case-Based Reasoning(CBR). In on-line insurance subscription process, this system provides the personalized insurance payment cases and insurance statistics for customers to entice an insurance subscription. By measuring, specifically, similarities between the user profile and insurance payment cases, it suggests the best insurance payment case which has the highest similarity and reflects the latest in the insurance payment cases. In addition, it serves the insurance statistical information that matches with the attributes of the finally-selected case. These functions can be useful in on-line insurance sales.