• Journal of Distribution Science
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• v.18 no.3
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• pp.87-97
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• 2020

Purpose: The aim of this study is to understand the internal and external responses that consumers experience when they are exposed to an innovative system in retail stores. This study considered the SST(Self-Service Technology) system in a retail setting as a type of functional environmental stimuli and selected a smart shopping cart as an example of SST system. The influences of functional environmental stimuli on consumers' emotional, cognitive, and behavioral responses were examined by applying S-O-R model. In addition, this study attempted to extend the traditional S-O-R model by (a) incorporating personal characteristics variables such as time pressure and perceived crowding and (b) considering not only emotional but also cognitive aspects of consumers' internal responses. Research Design, Data, and Methodology: This study used a video-scenario technique. Participants watched a video about grocery shopping situations using a smart shopping cart and responded to their emotional, cognitive, and behavioral responses. An online survey was conducted using Amazon's Mechanical Turk (N = 185). All participants were US consumers over 20 years old and had been shopping at the grocery store in the last month. Data were analyzed through structural equations modeling with AMOS 20. Results: Test results showed that consumers who perceived higher levels of time pressure and perceived crowding in usual shopping situations were more likely to evaluate the SST system favorably. The results showed that personal characteristics have a significant impact on consumers' evaluation of functional environmental stimuli in retail setting. As consumers evaluated the SST system favorably, they experienced more positive affect and less negative affect during their shopping behaviors. Positive affect led to good service quality inference, which further increased patronize intention. However, negative affect did not show a significant impact on service quality inference, but only on patronize intention. Conclusions: This study attempted to investigate the influence of SST system by extending the traditional S-O-R model. This study classified the SST system as functional environmental stimulus of retail stores and analyzed the effect of stimulus on consumers' internal and external responses. The results of this study showed that the introduction of innovative SST can serve as an effective store differentiation strategy in an increasingly competitive retail environment.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.39-56
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• 2012

Technological advancements in information technology including RFID and mobile technologies have made it feasible to track the customers travel path in a store. The customer travel paths provide valuable implications to understanding the customer behaviors in a store. In our research, we develop a shopping path analysis system to track and analyze the customer travel path. The proposed system consists of RFID systems for collecting the customer paths and analysis system. The analysis system conducts clustering for identifying the distinctive shopping patterns, and analyzes the profile of a grocery, such as congestion rate, visiting rate, and staying time, etc. We show the applicability of our proposed system using the actual data obtained at a grocery in Seoul as a case study.

• IE interfaces
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• v.24 no.4
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• pp.447-456
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• 2011

Identifying the major moving patterns of shoppers' movements in the selling floor has been a longstanding issue in the retailing industry. With the advent of RFID technology, it has been easier to collect the moving data for a individual shopper's movement. Most of the previous studies used the traditional clustering technique to identify the major moving pattern of customers. However, in using clustering technique, due to the spatial constraint (aisle layout or other physical obstructions in the store), standard clustering methods are not feasible for moving data like shopping path should be adjusted for the analysis in advance, which is time-consuming and causes data distortion. To alleviate this problems, we propose a new approach to spatial pattern clustering based on longest common subsequence (LCSS). Experimental results using the real data obtained from a grocery in Seoul show that the proposed method performs well in finding the hot spot and dead spot as well as in finding the major path patterns of customer movements.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.203-213
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• 2015

Recently, online grocery shopping has been increasing with the development of internet, mobile, and IT technology due to the proportion of consumers changes like increasing single households and double-income couples. Therefore, online sales from distributors with offline stores have also increased, and the offline retailers are facing their limits in dealing with store-based online channel they have carried out. Domestic offline retailers benchmarked overseas advanced retailers to solve this problem by reviewing about developing the online-only distribution center. However, much investment is needed in order to operate the distribution center with the new concept from abroad. In this study, we have reviewed the current online grocery market trend and the theory related to developing distribution system of the online mall. For offline retailers, we have reviewed the case which developed the distribution center applied to the nation's first online-only distribution center. The purpose of this study is reducing trial and error for local retailers in developing online-only distribution centers and suggesting ways to improve investment effect.

• Food Science and Preservation
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• v.18 no.5
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• pp.786-794
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• 2011

To investigate the sanitary-quality level of commercial kimchi in South Korea, the pH, acidity, and microbial-flora changes in the kimchi were determined. Samples of kimchi produced by three different manufacturers (a small grocery store, a small/medium-sized enterprise, and a large food company) were collected. Freshly made kimchi was purchased and fermented at $10^{\circ}C$ for 10 days. The pH of the commercial kimchi on the purchased day was approximately pH 5.8, and that on the $10^{th}$ day of fermentation was ${\simeq}pH$ 4.1. The kimchi purchased from a large company showed a more rapid decline in pH level during fermentation. The saltiness of the kimchi purchased from a medium-sized company was slightly higher than those of the other commercial kimchi samples. The saccharinity index of the kimchi produced by a small grocery store was higher than those of the other samples, and its value deviation was also higher than those of the other commercial kimchi samples. A higher total viable-cell count and a higher lactic-acid bacteria (LAB) count were detected in the kimchi from the large food company at the beginning of fermentation compared to the samples of the two other kimchi manufacturers. The highest cell numbers of gram-positive bacteria (except LAB) and coliform bacteria were detected from the small-grocery-store kimchi, but the coliform bacteria count gradually decreased during fermentation although such bacteria were still detected until the $10^{th}$ day of fermentation. In contrast, coliform bacteria were not detected in the samples from the medium-sized and large food companies. Yeast, which is detected in over-ripened kimchi, was detected in the unfermented kimchi from the small grocery store, which had a below-0.36% acidity level. The gram-positive bacteria (except LAB) that were detected in all the tested commercial kimchi samples were determined to be Bacillus spp., and the gram-negative bacteria were determined to be Escherichia coli, Enterobacter spp., Sphingomonase spp., and Strenophomonas spp. The proportions of all the aforementioned bacteria in the kimchi samples, however, were different depending on the samples that were taken. These results indicate that a more sanitary kimchi production process and a more systematic kimchi production manual should be developed to industrialize and globalize kimchi.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.68-86
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• 2016

This study confirmed structural causal relations among concepts such as characteristics of store, store image, affective satisfaction, affective commitment, and loyalty and surveyed mediating roles of affective commitment in grocery retailing. Analysis of structural equation modeling with SPSS18.0 and AMOS18.0 were performed to test the research hypothesis. The results are as follows. First, Perceived quality, product assortment and product price influenced satisfaction. Second, Store image influenced affective satisfaction, affective commitment and loyalty. Affective satisfaction influenced affective commitment but not loyalty directly. Third, affective commitment influenced loyalty through the powerful mediating role. The store characteristics was seen to have a positive impact on affective satisfaction through store image, and in turn related to affective commitment, ultimately leading to loyalty. Especially, It is meaningful result in this study which is confirmed affective commitment have a strong mediating role in between store image, affective satisfaction and loyalty. Finally, we discussed the role of affective commitment and the strategies of affective commitment development, and suggested future studies.

• Journal of the Korea Society for Simulation
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• v.4 no.1
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• pp.13-24
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• 1995

In general, simulation and analytic method are used for real system analysis. However, or date, there has been only the theoretical works on each approach. Therefore it is required that we study on the relationship between each approaches to obtain more reliable and correct system analysis results. In this paper, using SPN(Stochasitc Petri Net) formalism, we propose the method of output prediction of the DEVS(Discrete Event system Specification) simulation. For this we suggest a transformation algorithm which transform SPN form DEVS formalism based on the event scheduling world view and a verification algorithm for it. We then show an example to apply it to the real system, such that the Grocery Store System.

• Journal of Family Resource Management and Policy Review
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• v.6 no.2
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• pp.15-29
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• 2002

The purpose of this study explores the meaning of shopping and shopping behavior of consumer under the perception of time pressure. In this study, qualitative methods such as participation observation, depth interview, focus group interview were used. The major findings are as follows : First, consumer under the perception of time pressure defined shopping is mainly' grocery purchasing'. Second, they go shopping on weekend, in familiar store and buy the same kind of goods. Like this, their shopping patterns appear fixed type. Third, this study ascertained proposed time management strategies applied to shopping. Finally, a place of residence, driving or not, house helper, children and standard of family influence on consumer's shopping behavior additionally.

• International Journal of Costume and Fashion
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• v.15 no.2
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• pp.49-62
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• 2015

The purpose of the study was to investigate jean consumption among middle-aged Korean women and the characteristics of consumers as potential jean consumers. The data were collected from the survey of 238 Korean women aged 45 to 64 years old. The respondents prefer outlet store to other retail outlets and wear jeans mainly for travel, grocery shopping, and outing. The main reason for not wearing jeans is body change, which leads to poor fit in abdomen and waist area. The sample was clustered into two groups based on interest in jeans: high-interest and low-interest group. From the examination of group differences, the high-interest group rated conformity/brand reputation, scarcity, and attractiveness of appearance significantly higher compared to the low-interest group among the five clothing benefits pursued. No difference was found in obesity and body satisfaction. Group differences were found in recent purchase, price, number of jeans owned, and frequency of wearing jeans. The results suggest the characteristics of the potential jean market among middle-aged women in Korea. Implications are discussed.

• Food Science and Biotechnology
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• v.17 no.5
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• pp.1092-1096
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• 2008

Commercial food products from major cities of Coahuila, Mexico were screened to identify residues of transgenic deoxyribonucleic acid (DNA) and/or proteins. After performed, an inventory on all products that contained a soybean-based ingredient in a commercial grocery store in the city of Saltillo, Coahuila, Mexico, 245 food products were identified and grouped in 15 classes according to the soybean ingredient as well as the manufacturing process used for their elaboration. Similar sampling was made for the different food classes in the cities of Monclova, Piedras Negras, and Torreon. A total of 88 samples were analyzed and DNA was extracted by the hexadecyltrimethyl-ammonium bromide (CTAB) technique with slight modification to obtain better DNA quality (1). In addition, segments of the transgenic genes one that codifies for 5-enolpyruvylshikimate-3-phosphate synthase (epsps), cry 1A, and the cauliflower mosaic virus (CaMV) promoter were amplified using polymerase chain reaction (PCR). The transgenic proteins 5-enolpyruvylshikimate-3-phosphate synthase (CP4 EPSPS) and insecticidal crystal protein (Cry 1Ab/Ac) were identified using double antibody sandwich-enzymatic linked immunoassay analysis (DAS-ELISA). Presence of transgenic genes and/or proteins was identified in 35.3% of the commercial products samples.