• Korean Journal of Occupational Health Nursing
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• v.13 no.2
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• pp.89-103
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• 2004

One of the major health problems of working women is job stress according to many studies. However, existing job stress questionnaires are suitable for men and men's job environments only, and do not reflect emotional labor for sales people. The aim of this research is to find women's job stress factors. The subjects of this investigation are married working women in sales since they experience emotional labor in addition to physical and psychological labor and the work-family conflict is very important job stressor for them. The job stressor of married sales women was analyzed through qualitative research. After I had in-depth interviews with 20 married sales women, I identified 49 new concepts, 3 main categories and 17 sub categories. The results are like the following. 1. 3 main categories are job factor, aggravate factor, and compensate factor. 2. Job factor has 5 sub-categories including 'increasing of selling', 'emotional labor' and 'physical burden'. 3. Aggrabate factor has 6 sub-categories including 'work/family conflict', 'relationship with higher office' and 'relationship with a fellow worker' 4. Compensate factor has 6 sub-categories including 'opportunity of employment', 'discrimination', and 'prestige' Consequently this study newly found some major job stressors for married working women in sales department.

• Korean Journal of Construction Engineering and Management
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• v.12 no.5
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• pp.127-136
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• 2011

The purpose of this study is analyzed the importance ratio factors of sales price for apartment building construction projects. For this Study, Nine apartment buildings that sold in Seoul, Gyenggi, Chuncheong is selected. The study suggested eight influence factors through interview with experts, research related references, and analysis of cases. Based on those factors, Importance analysis is performed by using AHP method. The result of this study are as follows: 1) Influence factors of sales price are drawn as cost, site, housing, transportation, region, ground, policy, investment factor. 2) In the case of Seoul, The priority order of price influence factors consist of investment factor(16.0%), policy factor(14.6%), and cost factor(13.9%). In the case of Gyenggi, The priority order of sales price influence factors consist of region factor(15.9%), transportation factor(13.8%), and investment factor(13.4%). In the case of Chungcheong, The priority order of sales price influence factors consist of region factor(17.1%), transportation factor(16.4%), and housing factor(14.9%).

• Culinary science and hospitality research
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• v.7 no.3
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• pp.211-239
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• 2001

A study is on the coupon which is one of the sales promotion methods for family restaurant. The factor of family restaurant coupon use in the study was analyzed based on theoretical study. In addition, difference of food service manners by behavior and demographic factor, and so by means of this factor was analyzed and was done t-Test and anova. As a result of this study, eight factors were found. This eight factors were named by researcher. Eight factors are as follows There are 1. factor taste, 2. factor choice, 3. factor expectation, 4. factor satisfaction, 5. factor durability, 6. factor convenience, 7. factor safety, 8. factor preference. These factors influence family restaurant coupon used by customer. And so we know that between demographic factor and food service manners are different. In the conclusion, the factor of family restaurant coupon use, by valuable sides and typical sides was presented as the sales promotion methods for coupon. First, valuable side endows coupon with value and so lead persistent purchase. Second, typical side cause interest and so leads repurchase. But in the future, continuous study should be go on for satisfaction of customer and effective marketing strategy of family restaurant.

• The Research Journal of the Costume Culture
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• v.25 no.2
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• pp.117-129
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• 2017

The purpose of this study was to investigate meteorological factors' effects on clothing sales based on empirical data from a leading apparel company. The daily sales data were aggregated from "A" company's store records for the Fall/Winter season from 2012 to 2015. Daily weather data corresponding to sales volume data were collected from the Korea Meteorological Administration. The weekend effect and meteorological factors including temperature, wind, humidity, rainfall, fine dust, sea level pressure, and sunshine hours were selected as independent variables to calculate their effects on A company's apparel sales volume. The analysis used a SAS program including correlation analysis, t-test, and multiple-regression analysis. The study results were: First, the weekend effect was the most influential factor affecting sales volume, followed by fine dust and temperature. Second, there were significant differences in the independent variables'effects on sales volume according to the garments' classification. Third, temperature significantly affected outer garments'sales volume, while top garments' sales volume was not influenced significantly. Fourth, humidity, sea level pressure and sunshine affected sales volume partly according to the garments' item. This study can provide proof of significant relationships between meteorological factors and the sales volume of garments, which will serve well to establish better inventory strategies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.1
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• pp.137-146
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• 2009

Researches on after-sales quality have centered on home electric appliances, figuring out how factors influencing after-sales service quality are causally related to customer's behavioral intentions, via consumer satisfaction as an intermediary parameter In most cases of after-sales service in home electric appliances, upon customer's request, service agents make a visit to where the appliance is installed, and check the product and do repairs. However, in case of a small portable device such as a cell phone, which people carry around at all times, most of the times customers themselves show up at the after-sales center, and demand a check-up and repairs. The main difference here is that the after-sales services are provided when a product can no longer perform its basic function and customer dissatisfaction is already up. In this case, the basic function of a product corresponds to must-be factor according to Kano model. The goal of our research is to identify critical factors for effective and efficient after-sales service, and how to monitor them on a routine basis. In our research, the quality after-sales service consists of three dimensions, interactive quality, result quality, and physical environment quality. We set up variables for each dimension, which would measure from customer's perspective key determining factors in service delivery process. Instead of focusing on customer satisfaction aspect, we focused on how after-sales service factors contribute to addressing customer complaints. Additionally, our future research would aim to verify how customer's behavioral intentions are affected, as the resolution of consumer complaints becomes more successful when adjustment of relevant quality factors improves after-sales service quality.

• Journal of Distribution Science
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• v.20 no.1
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• pp.99-108
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• 2022

Purpose: This study aims to identify the core competency of sellers on their sales performance in the context of e-commerce, and to verify the mediating effect of innovative sales activities. Research design, data, methodology: A questionnaire survey was carried out to 200 sellers in e-commerce. Exploratory factor analysis and reliability analysis for Cronbach's Alpha were performed to verify the validity and reliability of the and the regression analyses of 5,000 bootstrap samples were carried out to test hypotheses. Results: Based on the analysis, the elements of competencies of sellers in e-commerce such as self-control, trust-building, social interaction skills were positively related to the innovative sales activities and sales performances. Innovative sales activities also affected sales performances. Indirect effects of competencies of sellers on sales performance via innovative sales activities were partially effective depending on variables that brought practical implications. From a practical perspective, the valid competencies found in this study may be applied for the recruitment and selection of sellers. Conclusion: This study shed light on theories of e-commerce sales and sales practices by examining the competencies of sellers in e-commerce compared to those of traditional sellers and by revealing innovative sales activities as the effective mediator for sales performance.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.6
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• pp.1053-1069
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• 2020

This study examined the sales pattern relationship with respect to product attributes to propose sales forecasting for fashion products. We analyzed 537 SKU sales data of T-shirts in the domestic sports brand using SAS program. The sales pattern of fashion products fluctuated and were influenced by exogenous factors; therefore, we removed the influence of exogenous factors found to be price discounts and holiday effects as a result of regression analysis. In addition, it was difficult to predict sales using the sales patterns of the same product since fashion products were released as new products every year. Therefore, the forecasting model was proposed using sales patterns of related product attributes when attributes were considered descriptive variables. We classified sales patterns using K-means clustering in order to explain the relationship between sales patterns and product attributes along with creating a decision tree classifier using attributes as input and sales patterns as output. As a result, the sales patterns of T-shirts were clustered into six types that featured the characteristic shape of peak and slope. It was also associated with the combination of product attributes and their values in regards to the proposed sales pattern prediction model.

• Architectural research
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• v.12 no.2
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• pp.53-62
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• 2010

The purpose of this study is to examine design preferences for the sales spaces of duty-free shops (DFSs) by conducting image evaluations. The results will help improve quality by influencing designs for the construction, extension or remodeling of these shops. An image measurement method, the semantic differential method, was used to measure cognitive structure using photos of shops. Photos were collected of the DFS at Jeju Island, as well as photos of brand stores designed by architects. Two sets of 16 photos (32 different photos in all) were selected according to photo classification standards and design concepts, both decided by reviewing previous studies and related materials. The evaluation and survey were done by two sets of subjects: sales employees, who have experience and special knowledge of the evaluation of sales space; and students majoring in architecture. To strengthen the evaluation results, I conducted a preliminary survey and a main survey, verifying and complementing findings. 116 surveys were conducted, of which 14 were of poor quality and rejected, leaving and 102 to be analyzed. The collected surveys were statistically analyzed, using SPSS 12.0 for Windows. Reliability, image profile, factor and multi-dimensional scaling analyses were conducted. As a result, image evaluation structure and characteristics were obtained for sales spaces of DFSs, confirming the difference between them and other spaces.

• Culinary science and hospitality research
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• v.13 no.1 s.32
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• pp.179-191
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• 2007

This paper aims to improve management and make the bakery business stable by investigating the difficulties in bakery management and the current management conditions of bakery businesses. Using Windows SPSS 11.0, the bottleneck in bakery management and its influence on sales and job satisfaction were analyzed. Besides, a regression analysis was conducted to investigate the effect of difficulties in bakery management on sales and job satisfaction. According to the analysis, a total of 44 variables were observed as the difficulties in bakery management. Among them, 34 variables were caused by 7 factors: facility, product, employee, finance, production, external advertisement. In the regression analysis, it has turned out that the difficulties in management had influence on sales dissatisfaction in facility, product, employee, finance, production, and external factors. Especially, employee factor turned out the most influential one on sales dissatisfaction. Furthermore, it has turned out that the bottleneck in management had influence on job dissatisfaction in all 7 factors. Above all, the external factor turned out the most influential one.

• Fashion & Textile Research Journal
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• v.2 no.2
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• pp.159-168
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• 2000

The purpose of this study was to identify and to compare the fashion show effectiveness between consumers and sponsors. The data were analyzed by using frequency, factor analysis, cross-tab, t-test and Kruskal Wallis with utilizing SPSS for Windows. The results of this study were as follow: 1. There was a favorable attitude towards fashion show itself but negative attitude towards possibility of purchasing clothes through fashion show. 2. Possibility of purchasing clothes through fashion show was very rare. Only 7.3% of consumers showed the experience of purchasing clothes through the show. 3. There were significant differences in the perception of watching fashion show purpose between consumers and sponsors. Consumers considered fashion show as more entertaining factor but sponsors considered show as more informative and sales promotion factor. 4. There was different recognition about purpose of having fashion show between consumers and sponsors. Sponsors utilized fashion show for the sales promotion medium but consumers recognized the fashion show as publicity for the company. 5. Sponsors showed more favorable attitude towards fashion show than consumers group.