• The Journal of Industrial Distribution & Business
• /
• v.9 no.7
• /
• pp.7-18
• /
• 2018

Purpose - The purpose of this paper is to examine how clothing retail buyers (i.e., retail buyers, merchandisers, and storeowners), who are involved in assortment planning and retail buying use assortment criteria in their decisions. Comparisons are made between criteria used by men's wear and women's wear retail buyers as well as criteria used by male and female retail buyers. Research design, data, and methodology - A structured questionnaire was developed to collect data both in English and Korean. After conducting two pilot tests, the survey was conducted in Seoul, South Korea. Mantrala et al.'s 17 inputs of product assortment planning model with 23 assortment criteria from other previous studies were used. Results - Significant differences existed in consideration of assortment criteria between men's wear and women's wear retail buyers as well as between male and female retail buyers. Men's wear retail buyers rated the importance of sales history criteria (i.e., sales history, previous year's sales of same/similar styles) significantly lower than women's wear buyers did. Female retail buyers rated sales history criteria and weather criteria (i.e., unpredicted weather change, forecasting information of weather) significantly higher than male retail buyers did. Conclusions - This study provides guidelines for retail buyers regarding what criteria to use in what situations and how to organize assortment criteria from the most important criterion to the least one. In addition, the findings help them understand other retail buyers' buying behavior.

• Journal of Distribution Science
• /
• v.20 no.4
• /
• pp.111-119
• /
• 2022

Purpose: This study seeks to address the omission through examining the manner in which demographic similarity affects the responses of employees in the retail sector towards horizontal pay dispersion. Through doing so the study will be effective in bolstering the recent efforts of more careful exploration of conditions. Research design, data, and methodology: Scant past studies are available to guide for practitioners in retail sector which compensation strategy might lead adequate job performance for retail sales workers. To suggest possible solution, the present authors used variables of pay dispersion and obtained 317 US retail sale workers in distribution channels to measure the association between pay dispersion and employee job performance. Results: The statistical findings indicated both first and second hypothesis could be acceptable with favorable Beta and T values, resulting high degree of pay dispersion leads a low level of job performance, while a low degree of pay dispersion can motivate retail sales workers to improve their performance. Conclusions: The findings of this study raises an argument that processes of social comparison work in a more vigorous manner. This is thus a representation of the propensity of a retail sales worker to voluntarily resign from an organization when dispersion rates are higher.

• Industrial Engineering and Management Systems
• /
• v.14 no.2
• /
• pp.196-209
• /
• 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.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.27 no.6
• /
• pp.635-642
• /
• 2003

The purposes of this study were to explore the consumer attitude toward the retail sales, to examine the relationships between the sale attitude and the price-related variables(i.e., price consciousness, sales proneness, and value consciousness), and to examine the effects of the sale attitude and the price-related variables on the perceived price value during the retail sales. Data were collected from 790 undergraduate students using the two types of questionnaires representing the sale and non-sale situations, and 776 responses were analyzed. Factor analysis of the sale attitude extracted five dimensions including price benefit, limited product assortment, impulse buying, low service quality, and disordered store atmosphere. The price benefit and the impulse buying factors were related with all the 3 price-related variables, and all the sale attitude factors were related with the value consciousness. The price benefit and the impulse buying factors positively affected the perceived price value under the sale situation.

• Journal of Fashion Business
• /
• v.13 no.3
• /
• pp.62-76
• /
• 2009

The purpose of this study is to identify apparel consumers' immoral shopping behaviors from apparel retail sales associates' perspectives. As a first step to understand immoral consumer behaviors in apparel retail setting, the study took an exploratory approach using five focus-group interviews with 35 apparel salespeople. The immoral behavior of fashion (product) consumers was divided into two categories: one was the immoral behavior associated with the product, and the other was the immoral behavior relative to the consumer. The immoral behavior associated with the product was classified into three types: shoplifting, inappropriate returns, and damaging to merchandise. Immoral behavior relative to the consumer was classified into two types: abusive behavior by a consumer toward sales associates and excessive demand. Although, shoplifting was the primary immoral behavior mentioned by all interview participants, most sales associates failed to recognize shoplifting as a serious criminal behavior. Another commonly mentioned immoral consumer behaviors was retail borrowing, which may pose serious problems to the fashion industry. The findings of this study will provide a basis for approaches that may help decrease immoral consumer behavior at fashion retail stores and provide a basis for developing materials for consumer education over the long term.

• Journal of Distribution Science
• /
• v.15 no.6
• /
• pp.77-96
• /
• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• Korean Journal of Occupational Health Nursing
• /
• v.18 no.1
• /
• pp.22-32
• /
• 2009

Purpose: This study was conducted to measure job stress and to explore risk factors of female workers in the retail and sales industries in Seoul, Gyeonggi and Incheon. Methods: A total of 321 participants responded to a self-administered questionnaire that included 24 items of the KOSS(Korean Occupational Stress Scale) and sociodemographic characteristics. The 240 questionnaires were collected from January to March 2007 and analyzed. Results: The mean scores of female workers' job stress in the retail and sales industries ranged in Q50~74 compared with the average scores of female Koreans. The level of job insecurity was significantly high, and ranged in Q75~. However, the level of insufficient job control ranged in Q~24. Multiple regression analysis was used to explain the risk factors of female workers: monthly salary and insufficient sleep were of statistical significance. Conclusion: High level of job stress suggested that appropriate stress management programs be implemented for female workers in the retail and sales industries.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.17 no.4
• /
• pp.109-120
• /
• 2021

Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.17 no.2
• /
• pp.1-10
• /
• 2015

The purpose of the study was to analyze differences in importance of product selection criteria of retail buyers in Dongdaemum market according to price line of products, annual sales volume of the company, and work period as a retail buyer. The study defined a retail buyer as a buyer who buys apparel products in Dongdaemum market for their own stores. The questionnaire developed by the researchers was distributed to 200 retail buyers in Dongdaemun market. One hundred seventy two questionnaires were used in the final analysis. The data were analyzed by common factor analysis, ANOVA, and Tukey's test using SPSS 18.0/Windows. The results showed that product selection criteria were classified into 4 factors: fashion design, price, quality, and assortment. There were significant differences in importance of product selection criteria by retail buyers in Dongdaemum market according to price line of products and annual sales volume of the company, and work period as a retail buyer. The buyers of higher price products showed higher importance in all four factors of the product selection criteria. Also, the buyers of the company with lower annual sales volume considered price factors more important, but the buyers of the company with higher annual sales volume thought quality factor more important. Moreover, the buyer with work period of less than three years regarded price as a more important factor.

• Journal of Distribution Science
• /
• v.15 no.8
• /
• pp.5-14
• /
• 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.