• 4차산업연구
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• 제1권1호
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• pp.23-29
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• 2021

Purpose - Faced with the great change of the 4th industrial revolution and the addition of the COVID-19 pandemic, great confusion and crises are occurring in the retail environment as well. The purpose of this study is to suggest the necessity of establishing a methodology for applying retail tech to offline distribution channels in crisis. Research design, data, and methodology - After examining the recent developments of representative fields to which retail technology is applied, it is rearranged through consideration through previous studies. Result - The retail industry must transform into digital commerce through digital transformation. According to the development of retail technology, the distribution industry is at a time of change from the stage of brokering product and service transactions to a structure that creates value based on information on production and consumption. The business model of the distribution industry must be converted to a platform business model in which both consumers and producers become users. Conclusion - In-depth analysis of the cases has not been conducted, and there are limitations in that the development is somewhat insufficient due to insufficient prior research data. However, it is meaningful to suggest the necessity of finding a methodology for applying retail technology to overcome the crisis of offline retailers through quantitative research on the retail technology area.

• 유통과학연구
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• 제18권3호
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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.

• 디지털융복합연구
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• 제19권1호
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• pp.187-198
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• 2021

본 연구는 소비자 관점에서 리테일 분야의 사물인터넷 기반 제품 및 서비스 활용 현황을 파악하고 각각 서비스의 역할과 소비가치에 대해 분석하고자 한다. 이를 위해 의사결정과정을 구매이전, 구매, 구매이후 단계로 나누고 사물인터넷 제품 및 서비스 사례를 단계별로 분류한 후, 각 재품 및 서비스의 특징 및 소비가치를 분석하였다. 연구결과에 따르면 의사결정과정에 이용되는 사물인터넷 제품 및 서비스는 구매 이전 단계에서 정보제공, 대안비교 기능을 수행하며 구매단계에서는 상호작용, 자동결제시스템에 활용되고 있다. 구매 이후 단계에서는 반복 구매를 유도하고 사후서비스를 제공한다. 의사결정 전반에서 스마트 리테일은 인식 가치, 기능적 가치를 제공하고 구매 이전 단계에서는 상황적 가치 및 사회적 가치를, 구매 이후 단계에서는 상황적 가치를 추가적으로 제공한다. 본 연구는 기존의 기술·산업중심으로 이루어졌던 사물인터넷 연구에서 나아가 소비자중심에서 소비가치를 고찰함으로써 소비자의 만족도 향상과 스마트 리테일의 발전을 위한 조언을 제공함에 있다.

• 마케팅과학연구
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• 제20권1호
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• pp.70-79
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• 2010

现在已有一些旨在解决韩国不道德消费行为的研究, 然而大部分研究把重心放在购买假冒伪劣产品或者入店行窃上. 服装的高额回报率和曾经的服装回扣被认为是时尚产业的问题领域. 然而, 很少研究者致力于这一问题的解决. 因此, 本研究目的在于, 通过使用一种混合的方法路径来探讨消费者零售借贷的经验. 实验一主要通过小组面谈的方式来探讨韩国消费者零售借贷的经验. 实验二通过在线调查的结果显示服装消费者对于零售借贷行为的态度. 调查结果促进了研究人员和从业人员对于零售借贷行为的理解, 同时也深入洞察了服装零售业中的零售借贷问题. 在研究1中, 我们把在过去一年中有零售借贷行为的人分成七组进行五次集中讨论. 参加了这次讨论的韩国消费者中, 有35个在大城市居住. 大部分消费者都是20来岁(21岁), 且以女性居多(24个). 大部分的参与者从一个零售商处购进一批服装, 然后对旧的衣物不是要求全额退款就是就是要求将旧的衣物更换成新的. 零售借贷行为的动机包括社会需要, 工作需要, 时尚需要和 "智能购物" 的理念. 与其他国家现有的研究的结论相似, 在分析时装商店的零售借贷现象时, 最经常被提到的原因是社会需要. 而消费者的道德价值观, 对大公司的态度, 以往的借贷消费经历, 也被认为是影响消费者的零售借贷行为的可能因素. 在研究2中, 收集数据的问卷是基于第一部分研究的成果和其他现有研究结果设计的. 问卷的问题主要关注消费者的道德信仰, 寻求刺激的倾向, 自我价值, 过去的零售工作经验, 零售贷款的经验, 以及他们的一些群体特征等等. 数据的收集是由首尔一家商业网络研究公司的在线调查小组来完成的. 为了保证样本的多样化和有效性, 该公司设计了这样的抽样配额(男: 女= 1:1, 20岁: 30岁: 40岁= 1:1:1, 零售经验: 没有零售经验= 1:3). 共有401个在前6个月有过购买服装经历的消费者参加了这次网上调查. 结果显示19.7%的受访者都表示他们曾经有过借贷购买时尚商品的经历. 在这些受访者中, 男性借贷人约占57%, 多于女性借贷人. 通过年龄的分布来看, x2 显示在拥有或者没有零售借贷经历的受访人之间存在着统计学上的差异: 有41.8%的受访者是在40岁的时候拥有零售借贷经历, 而那些没有零售借贷经历的受访者大约分布在20岁到40岁之间. 在收入方面, 拥有或者没有零售借贷经历的受访者之间也有很大的不同: 前者较于后者, 收入要高一些. T测试主要是在有或者没有零售借贷经验的受访者之间进行比较, 对比他们的时尚购物行为, 道德信念, 感觉寻求的倾向和对零售借贷行为的态度. 与那些没有借贷经验的受访者相比, 有经验者更趋向于频繁的购买时尚物品或者花费更多的钱用在购买时尚物品上. 有借贷购买经验的顾客往往比无经验者有更高的寻求新奇刺激的倾向. 一份回馈的分析表明对于时尚物品零售借贷购买的态度和顾客的道德信仰呈负相关, 但是与每月购买时尚物品的频率, 对新奇事物感觉趋向的走势以及过去的时尚物品零售借贷的经验呈正相关. 在这些变数之中, 过往的零售借贷经验是最重要的预测因素, 道德信念紧随其后. 本次研究作为初次尝试旨在了解零售借贷行为基础背后的动机和影响这些行为的要素. 这次研究的结果可以使我们对消费者零售借贷行为有更深一步的理解, 并为解决方法提供一个基础, 以帮助减少零售借贷行为和时装零售商店的不适当回扣. 这个结果也可以长期为消费者教育提供资料. 为了更好的理解时尚零售借贷行为, 未来还有更多的研究亟待进行.

• 복식문화연구
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• 제29권6호
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• pp.922-931
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• 2021

Recent developments in information and communication technologies (ICT) can be applied in stores, and the number of fashion stores that have introduced and utilized ICT are increasing. By applying a literature review and empirical research, the types of ICT service factors of fashion stores were identified and categorized. The effect of their importance on consumer behavioral intentions was analyzed. Next, using factor analysis on the ICT service factors, five factors were identified and named as follows: smart space services, smart payment services, virtual image services, product information services, and smart access services. The importance of these factors was then analyzed. The importance of each factor and detailed questions was rated above average. After examining the effect of ICT service on behavior intention, issues such as purchase intention, revisit intention, and word of mouth intention were found to have significant influence. This study is meaningful in that it derives the importance factors of ICT services that can be used in fashion stores in a situation where retail techniques become important and expand, and provides marketing strategies related to consumer behavior according to detailed factors. With retail tech becoming more important and expanding, it is necessary to provide various services that consumers value by utilizing ICT in fashion stores. Considering the results of this study, ICT technology and services of various fashion stores can be effectively utilized and retail tech utilization performance can be improved.

• 유통과학연구
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• 제22권7호
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• pp.107-117
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• 2024

Purpose: Consumers have become more interested in eating organic food in recent decades because of the effect of merchants' advertising. Eating organic food is also shown to strengthen immunity, especially during the recent COVID-19 pandemic. However, consumers may find it more difficult to choose organic food retailers than to purchase conventional goods. This is because of the uncertainty characterizing the process of selecting organic food retailers, despite the growing rivalry across supermarket chains that sell organic goods. This study explores how consumers' perceived image (social responsibility and ability image) of organic food stores affects consumer loyalty. Research design, data and methodology: The data for the analysis were collected using Macromill Embrain, an online research service agency. The data were analyzed using SPSS 26 and Smart PLS 4.0. Results: Based on structural equation modeling, the findings of the study demonstrate that store image positively impactsstore loyalty, and that the mediator (perceived value) affects the relationship between the two variables. Conclusions: Organic food stores must understand consumers to improve store loyalty. Efforts such as providing a user community that enables joint behavior by sharing experiences among customers or launching campaigns to improve consumers' perceived brand identity can increase store loyalty.

• 유통과학연구
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• 제15권6호
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• pp.77-96
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• 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.

• 산업과 과학
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• 제2권2호
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• pp.1-8
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• 2023

본 연구에서는 블록체인 기술의 지속 가능성을 달성하기 위해 소매 공급망을 개선할 수 있는 방법과 공급망 관리에 대한 잠재적인 블록체인 및 스마트 계약 애플리케이션에 대한 분석 결과를 제시하였다. 또한 블록체인 기술이 어떻게 다양한 소매점 운영에서 고객과 상인 모두에게 많은 이익을 줄 수 있을지 그 방법을 제안하였다. UTUAT 모델의 수정된 버전을 활용하여 소매점에서 공급망 관리를 위한 블록체인 사용의 실행 가능성을 추가적으로 검증하였다. 그리고 소매 산업의 공급망 관리에서 블록 네트워크 사용에 대한 행동 의도와 수용 사이에 통계적으로 중요하고 긍정적인 연관성이 있음이 확인되었다. 블록체인 기술을 채택하려는 행동 의도(BI)는 성능 기대치, 효과 기대치, 주관적 기준 및 활성화 변수에 의해 크게 영향을 받고 있고 성능 및 노력 기대치는 공급망 관리에서 블록체인을 채택하려는 행동 의도에 상당한 영향을 미치는 것으로 나타났다.

• Asia pacific journal of information systems
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• 제29권3호
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• pp.407-413
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• 2019

This editorial on 'Smart Services and Internet of Things (IoT)' focuses on the topics related to the applications of IoT to consumer products and services, which have become 'smarter' thanks to IoT. This special issue explores, in different ways, the phenomena of smart services and the role of IoT in business innovation across different contexts such as product-service system, car auction, tourism industry, communicating platform, online travel agency, self-service retail, and bike sharing. We hope that this special issue will provide a significant step forward in enabling researchers and practitioners to understand smart services and IoT.

• 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.