• International Journal of Costume and Fashion
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• v.18 no.2
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• pp.85-100
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• 2018

The purpose of this study is to research the level of emotional responses and corresponding behavioral responses of consumers who have experienced out-of-stock (OOS) shopping. Answers were gathered from 526 people in the 20-49 year age range, residing in a metropolitan area. SPSS 18.0 was used to perform factor analysis, reliability measures and regression analysis. The subordinate concept of emotional responses from consumers who experience an OOS event while at an on online shopping mall is the first subject of research for this study; this is tied in with three central factors; namely, anger/annoyance, anxiety and feeling regret. These can be further categorized into a positive emotional response and a negative emotional response. The experiment scrutinizes how emotional responses towards an OOS event experience affect behavioral responses. It then focuses on positive emotional responses as the second subject of this research: namely, how regret significantly affects the product substitution (S), and how anger/annoyance, anxiety and regret significantly influence a delayed purchase (D). Anger/annoyance, anxiety and regret significantly affect the incomplete store switch over (L1), and anger/annoyance and anxiety significantly influence the complete store switch over (L2).

• International Journal of Advanced Culture Technology
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• v.3 no.2
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• pp.1-14
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• 2015

The purpose of this paper is to reveal two problems in the existing inventory systems in retail market, and to suggest a Two-Bin System under Automatic Ordering System considering only base-stock. Large retailers already have a sophisticated inventory system based on an automatic ordering principle. However, why does the out-of-stock (OOS) happen in large discount stores in spite of having a good inventory system? This paper suggests two systems after finding the root causes concerning the previous question. For evaluating the performance of each system, the random 200 data set in each sample group was generated from MINITAB 16 and obeyed the Poisson distribution. The existing inventory system in retail market cannot help generating OOS due to indwelling contradiction in itself. The reasons are the ordering deadline and the relationship between ordering quantity and base stock. This paper also demonstrates that these previous studies on inventory fall into the closed loop. Also the paper shows that the performance of the replenishment policy was better than traditional methods dealing with ordering quantity and base stock.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.235-240
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• 2006

The existing inventory managements bear a relation to forecasting or assumptions. So these methods become more complicated and more expensive systems as time goes. This paper developed a practical inventory system which is called DCC(demand control chart). DCC does not 'forecast' but 'control' the trend of demand without assumptions. According to the trend of sales, DCC adjusts an order quantity considering the capacity of shelf in a store. Specially, DCC is a useful method under FRID system. Besides, this paper introduces EPFR(Every Period Full Replenishment) policy for reducing stocks.

• Journal of Distribution Research
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• v.16 no.4
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• pp.29-64
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• 2011

Overview of Research: Product availability is one of important competences of store to fulfill consumer needs. If stock-outs which means a product what consumer wants to buy is not available occurs, consumer will face decision-making uncertainty that leads to consumer's negative responses such as consumer dissatisfaction on store. Stockouts was much studied in the field of academia as well as practice in other countries. However, stock-outs has not been researched at all in Marketing and/or Distribution area in Korea. The main objectives of this study are to find out determinants of consumer responses such as Substitute, Delay, and Leave(SDL) when consumer encounters out-of-stock situation and then to examine the effects of these factors on consumer responses. Specifically, this study focuses on situational characteristics(e.g., purchase urgency and surprise), store characteristics (e.g., product assortment and store convenience), and consumer characteristics (e.g., brand loyalty and store loyalty). Then, this study empirically investigates relationships these factors with consumers behaviors such as product substitution, purchase delay, and store switching.