• 한국정보시스템학회지:정보시스템연구
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• 제27권2호
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• pp.1-28
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• 2018

Purpose More than 7.6 million mobile apps could be approved on both Apple iTunes Store and Google Play. For managing those existed Apps, Apple Inc. established twenty-four primary categories, as well as Google Play had thirty-three primary categories. However, all of their categorizations have appeared more and more problems in managing and classifying numerous apps, such as app miscategorized, cross-attribution problems, lack of categorization keywords index, etc. The purpose of this study focused on introducing individual information cognitive processing as the classification criteria to update the current categorization on Apple iTunes Store. Meanwhile, we tried to observe the effectiveness of the new criteria from a classification process on Apple iTunes Store. Design/Methodology/Approach A research approach with four research stages were performed and a series of mixed methods was developed to identify the feasibility of adopting individual information cognitive processing as categorization criteria. By using machine-learning techniques with Term Frequency-Inverse Document Frequency and Singular Value Decomposition, keyword lists were extracted. By using the prior research results related to car app's categorization, we developed individual information cognitive processing. Further keywords extracting process from the extracted keyword lists was performed. Findings By TF-IDF and SVD, keyword lists from more than five thousand apps were extracted. Furthermore, we developed individual information cognitive processing that included a categorization teaching process and learning process. Three top three keywords for each category were extracted. By comparing the extracted results with prior studies, the inter-rater reliability for two different methods shows significant reliable, which proved the individual information cognitive processing to be reliable as criteria of categorization on Apple iTunes Store. The updating suggestions for Apple iTunes Store were discussed in this paper and the results of this paper may be useful for app store hosts to improve the current categorizations on app stores as well as increasing the efficiency of app discovering and locating process for both app developers and users.

• 한국의류학회지
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• 제44권1호
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• pp.13-32
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• 2020

This study investigates the multi-dimensional structure of fashion store window creativity and examines its effects on consumer responses. Through an expert evaluation survey, this study proposes that fashion store window creativity involves originality, relevance, and artistry. Two experiments are conducted to test the proposed hypotheses. Consumers' emotional responses to the level of window creativity are collected using psychophysiological and self-report methods. Fashion store window creativity has positive effects on psychophysiological affective responses. When the three dimensions of creativity are specified as explanatory factors of emotional responses, relevance and artistry show positive effects on arousal and pleasure, whereas originality has a negative effect on pleasure. Its effect on attitudes is mediated by arousal and pleasure; in addition, the effect on entering intentions is mediated by arousal. Attitudes toward window display also have a positive effect on entering intentions. This study extends existing research on creativity in marketing into the context of visual merchandising in fashion store windows. Findings provide meaningful implications in that the effects of fashion store window creativity on emotions affect consumer attitudes and behavioral intention. By adopting multiple approaches in the empirical phase of this study, the findings are built on strong reliability and validity.

• 유통과학연구
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• 제16권8호
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• pp.15-27
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• 2018

Purpose - The purpose of the study is to examine the relationships among the following retail operations variables: retail store operations (i.e., store management, sales personnel, promotion of merchandise), success of assortment planning, firm performance (i.e., market share, overall competitive position, profitability, product quality, consumer satisfaction), and retail buyer's demographics and firm's characteristics. Research design, data, and methodology - After conducting a pilot test, the survey was conducted in Seoul, South Korea. With using the listwise deletion method, 378 usable data sets were analyzed. For data analysis, descriptive statistics, factor analysis, and Structural Equation Modeling (SEM) methods were employed. Results - As evidenced from the path diagram, the relationship between retail store operations and the success of assortment planning is strong and significant. Retail store operations affect firm performance, though at a weaker significance than it affects the success of assortment planning. The relationship between the success of assortment planning and firm performance, is the strongest relationship observed by this research. Conclusions - The findings of this empirical study contribute to the retail/fashion buying/management field by confirming (a) the importance of assortment planning for retail firm performance and (b) the role of store operations for successful assortment planning and firm performance for fashion retailers.

• 품질경영학회지
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• 제26권2호
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• pp.93-105
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• 1998

Many large scale discount stores try to enter the market in newly developed city areas. In order to sucessfully increase the market share, it is essential for them to understand customers' needs. In doing so, various forms of survey methods are often used and survey forms can influence respondents' decision. The main objective of this paper is to check consistency of different survey methods in terms of deriving the expected market share. In this paper, we a, pp.y two survey forms for both AHP and conjoint analyses using a randomized complete block design. Using AHP, we compare Kim's club, Carf, E-mart and Macro in terms of the following four customer attributes: parking facility, size of store, business hours, and special pricing policy. In conjoint analysis, we estimate the part-worth of each level of the customer's attribute so that one can design the best store which would optimizethe customer's attribute so that one can design the best store which would optimize the customer's utility. Empirical comparison results indicate very low consistency between the two methods. It implies the importance of verification methods of survey. We also analyze the impact of special pricing policy using a meta analysis. It turns out that older customers are a, pp.rently more sensitive to pricing policy.

• 한국유통학회지:유통연구
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• 제13권4호
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• pp.1-19
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• 2008

본 논문에서는 학습조직이론을 바탕으로 소매 노하우의 국제이전을 사례연구를 통하여 검토하였다. 연구의 대상으로서는 세계적인 편의점 체인인 7-Eleven을 선정하여 그 노하우가 어떻게 일본에 성공적으로 이전되었는지를 정성적으로 분석하였다. 분석결과 편의점 노하우의 국제이전에 있어서는 본질학습과 적응학습이 대단히 중요한 역할을 하였다. 본질학습의 내용으로는 편의점의 기본컨셉트와 점포운영 기본3원칙, 최저이익보증제도, 이익배분방식이 있었으며 적응학습의 내용으로는 출점방식과 점포규모, 점포입지, 상품구성 등과 같은 소매믹스가 있었다. 또한 적응학습에는 가설검증방식이라는 학습방법론이 사용되었으며 이 방식을 계속적으로 적용한 결과 경쟁기업이 모방하기 힘든 혁신을 이룩하였다. 다만 본질학습에서 학습한 내용이 적응학습에 원칙과 방향을 제시해 주었다. 이처럼 본질학습과 적응학습이 서로 맞물려 잘 이루어져야 소매 노하우의 국제이전은 성공할 수 있는 것이다.

• 디지털산업정보학회논문지
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• 제4권3호
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• pp.115-126
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• 2008

This thesis is the research for methods to forecast of dynamic changes at retail stores in the ubiquitous era, and, through adopting RFID based technology, to minimize cost of operation of stores and bringing up better customer service. The core methods had been researched and studied are to build future-oriented stores by providing store system with better customer's convenience based on referring to case studies of future-oriented stores and efficient inventory management method enabling more profitable store, and adopting Smart Carts, Smart Shelf and e-POP and environment sensors as a method in order to provide more improved customer service.

• 한국IT서비스학회지
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• 제17권2호
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• pp.111-128
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• 2018

About 3.9 million apps and 24 primary categories can be approved on Apple iTunes Store. Making accurate categorization can potentially receive many benefits for developers, app stores, and users, such as improving discoverability and receiving long-term revenue. However, current categorization problems may cause usage inefficiency and confusion, especially for cross-attribution, etc. This study focused on evaluating the reliability of app categorization on Apple iTunes Store by using several rounds of inter-rater reliability statistics, locating categorization problems based on Machine Learning, and making more accurate suggestions about representative functionality stems for each primary category. A mixed methods research was performed and total 4905 popular apps were observed. The original categorization was proved to be substantial reliable but need further improvement. The representative functionality stems for each category were identified. This paper may provide some fusion research experience and methodological suggestions in categorization research field and improve app store's categorization in discoverability.

• 유통과학연구
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• 제12권7호
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• pp.53-61
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• 2014

Purpose - This study focuses on "large-scale marts," which is a typical discount-based retail channel (hereinafter, DRC), and provides practical managerial implications by applying the KD-SQS service quality factor based on customers' experiential perspective by developing and applying existing service measures. Research design, data, and methodology - The research subjects include adults who have experienced "large-scale marts." The research involved SPSS 20.0 and AMOS 19.0 packages; path analysis is used to analyze structural relationships. Results - First, physical aspects, human interaction, and additional convenience aspects of service quality have statistically significant influence on service value. Second, physical aspects, human interaction, and policy have statistically influence on store loyalty. Third, service value influences store loyalty. Fourth, service guarantee adjusts the relationship between service quality, service value, and store loyalty in terms of human interaction and policy. Conclusion - Among service quality measures, improving service value through personal service needs to be prioritized, while we need to develop different methods for the service guarantee system to effectively influence service value and store loyalty.

• 복식
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• 제54권5호
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• pp.139-153
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• 2004

The first purpose of this study was to compare the fashion zones and fashion brands on the floors in small and medium volume department store with those of big department stores within adjacent trading area. The second purpose was to find out similarity and differentiation of near-by department stores. The third one was to propose the future fashion marketing strategies of the department stores. The methods used were references, internet, field observation, and interview in 2002. Eight department stores within adjacent trading area were classified and analysed In "Gangnam division", "Seocho division＇. and "Youngdeungpo division". The results were as follows : Firstly, there was a low relationship between the degrees of brand equalization of each department store in the "Gangnam, Seocho. and Youngdeungpo division". Secondly, there was an alteration on the floor layout of each department store. It was layed out in a way that allowed for customers, who wanted to just purchase specific items, to go upstairs and look around several stores, which allowed for not only rise in the amount of sales but also offer the convenience of one stop shopping for the customers. Thirdly I proposed several marketing strategies such as lifestyle marketing, relationship marketing, and compile marketing which solves everyday life agenda. I also proposed the solution selling education to develop service education of salesperson. I finally proposed the overriding priority policy by sales record of each store.licy by sales record of each store.

• 품질경영학회지
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• 제32권2호
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• pp.109-131
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• 2004

This research tried to clarify the impact of service quality on the customer satisfaction, customer retention and switching barriers in the competitive structure between department store and discount store. We measured the level of service quality by using the methodology which had been adopted in the service quality research area. Using the internet survey method, we gathered data from 750 consumers of each industry. We used various analysis methods such as the regression analysis, t-test, and hierarchical regression analysis. The results reveal different patterns in the two sectors in the retail industry with respect to switching barriers. We conclude that switching barriers play an important role in consumer satisfaction and retention.