• Journal of Information Technology Applications and Management
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• 제25권2호
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• pp.117-132
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• 2018

This study examines the reason why consumers try to use the online shopping cart more, and especially analyzes the influence of personal psychological factor such as regulatory focus. Hypotheses are tested with a two-way ANOVA model using experimental data collected from 210 undergraduate students at a business school in South Korea. We found that prevention focused consumers try to use online shopping cart more than promotion focused consumers. It is possible that prevention focused consumers try to consider as many alternatives as possible to ensure safety as they focus on negative results or losses during shopping online. However, we also found out when the buying purpose is utilitarian, promotion focused consumers are not different from the promotion in terms of the usage intention of online shopping carts. Marketing managers can provide different messages customized for their consumers by leading them to use the online shopping cart in a more effective way.

• International journal of advanced smart convergence
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• 제6권1호
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• pp.44-49
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• 2017

In the modern technology era, it is possible to connect objects and the internet anytime and anywhere through IoT of hyper-connected society. Accordingly, a smart shopping cart was designed and realized by applying IoT. Therefore, this paper builds the IoT shopping cart system according to the trend of IoT environment.. When RFID is installed in the Arduino and the tagged item is inserted into the IoT shopping cart, the product information and price are displayed on the Arduino linked Raspberry Pi. We built a web server on the Raspberry Pi to handle this data, and built an App on the smartphone to implement the IoT shopping cart environment. Consumers can receive pricing and product information through smartphone apps through raspberry pie, can make quick calculations through smartphone, and provide various information to consumers through apps.

• 한국의류학회지
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• 제43권6호
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• pp.910-929
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• 2019

This study identifies the effects of the characteristics of an online shopping cart based on the theory of psychological ownership. This study created experimental stimuli similar to the actual fashion website in order to derive the exact emotional and behavioral responses of participants. To test the hypotheses, four experimental groups of 2 (personalization: high / low) × 2 (accessibility: high / low) were formed with between-subject design. We selected 201 women in 20-30s as participants and they responded to an online survey after experiencing website stimuli. The collected data were analyzed using SPSS 25.0 and SPSS PROCESS Macro program. The results show that the effects of personalization of an online shopping cart on the purchase intention of the fashion product in the cart is significant; in addition, the main effect of personalization of cart on consumer's psychological ownership was confirmed. It was also found that the path of personalization of the online shopping cart to purchase intention through psychological ownership was significant. The findings of this study contributes to the extension of online shopping cart research and provide suggestions to recognize the important role of psychological ownership in increasing the purchase conversion rate.

• 한국컴퓨터정보학회논문지
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• 제20권5호
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• pp.83-89
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• 2015

본 논문에서는 휠체어 장애인이 마트에서 손쉽게 장을 볼 수 있도록 도와줄 수 있는 자율주행 쇼핑카트 시스템의 개발 방법을 제안한다. 이 시스템은 휠체어 장애인이 직접 쇼핑카트를 끌지 않아도 휠체어 장애인의 움직임 인식하고 자동으로 따라올 수 있도록 개발되었다. 이 시스템은 휠체어 장애인의 움직임을 인식하기 위해 키넥트를 활용하며, 이를 통해 직진, 우회전, 좌회전을 판단하고, 그 결과에 따라 RC-car를 이용하여 쇼핑카트 주행을 제어한다. 이 시스템을 이용함으로써 휠체어 장애인의 쇼핑 불편함을 해소시킬 수 있을 것이다.

• 한국산학기술학회논문지
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• 제21권7호
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• pp.262-269
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• 2020

최근 다양한 쇼핑 환경에서 결제에 소요되는 시간을 줄이기 위한 많은 시도들이 이루어지고 있다. 또한 4차 산업혁명시대에 들어서면서 인공지능 기술이 고도화되고 있으며, IoT 장비들은 더욱 소형화되고 저렴해져서 이 두 가지 기술을 융합시킴으로써 사용자의 시간을 절약할, 인간을 대신하는 무인 환경을 구축하는 것에 대한 접근이 용이해졌다. 본 논문에서는 저가 IoT 장비들과 딥러닝 객체 탐지 기술을 기반으로 하는 스마트 쇼핑카트 시스템을 제안한다. 제안된 스마트 카트 시스템은 실시간 상품 인식을 위한 카메라와 라즈베리파이, 트리거 역할을 하는 초음파 센서, 상품이 쇼핑카트에 들어온 것인지 나간 것인지를 판단하기 위한 무게 센서, 가상의 장바구니에 대한 UI를 제공하는 스마트폰 어플리케이션, 학습된 데이터가 저장되는 딥러닝 서버로 구성된다. 각 모듈 간의 통신은 TCP/IP 네트워크 및 HTTP 네트워크로 이루어지며, 서버의 상품 인식을 위해서는 객체탐지 기술이 구현된 YOLO darknet 라이브러리를 사용한다. 사용자는 스마트폰의 앱을 통하여 스마트 카트에 넣은 물건들의 목록을 점검하고 자동으로 결제할 수 있다. 본 논문에서 제안된 스마트 카트 시스템은 가성비가 높은 무인 상점을 구현하는데 응용될 수 있다.

• Asia pacific journal of information systems
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• 제30권2호
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• pp.252-283
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• 2020

Online retail is a growing opportunity for retailers and consumers. Cross-buying provides companies with an opportunity to increase their revenue contributions from existing consumers. In many fields, especially in the service sector, cross-selling is an easier strategy to use relative to increasing revenue rather than acquiring new consumers. Website personalization has been a powerful indispensable tool for web-based companies and end users. Using the Mehrabian and Russell's Stimulus-Organism-Response framework, we experimentally examined how an online retailing merchant's environmental stimuli (S) arouses internal affective and cognitive states (O), that affect consumers' approach-avoidance behavior (R) in cross-buying and shopping cart abandonment in online transactions.

• 복식문화연구
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• 제26권1호
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• pp.1-18
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• 2018

In this study, the effects of anticipated regret and perceived uncertainty on price sensitivity or purchase hesitation in overseas purchasing are analyzed along with the effects of price sensitivity on purchase hesitation. The survey was conducted among internet fashion consumers with experience in overseas purchasing and 480 responses were used in the data analysis. The results showed the psychosocial anticipated regret positively influenced the price importance, and the service, product and psychosocial anticipated regret positively influenced the price search. The preference and psychology uncertainty positively influenced the price importance, and the information and psychology uncertainty positively influenced the price search. The price importance positively influenced payment stage hesitation and shopping cart abandonment, and the price search positively influenced purchase hesitation in overseas purchasing. The functional, service and psychosocial anticipated regret positively influenced payment stage hesitation, and the service and psychosocial anticipated regret positively influenced shopping cart abandonment and overall purchase hesitation. In addition, the perceived uncertainty positively influenced the payment stage hesitation, and the information and psychology uncertainty positively influenced the shopping cart abandonment and overall purchase hesitation. The results of this study will be helpful for developing the marketing strategy for customer relationship management for overseas internet shopping web-sites.

• 한국IT서비스학회지
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• 제1권1호
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• pp.17-27
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• 2002

Buyer-carts to support the purchasing process in the B2B EC platform, can be categorized as s-cart, i-cart, and b-cart depending upon its residing sites : seller, intermediary, and buyer sites. In this paper, after proposing the desired features of buyer-carts in B2B EC as identification, collection, trashing, ordering, payment, tracking, recording, purchasing decision support, and transmission of records to e-procurement systems, we try to analyze each buyer-cart qualitatively from such viewpoints. Moreover, we propose an efficiency evaluation model for quantitative analysis. By setting variables from interview of employees in 30 listed companies In Korea, we try to evaluate the efficiency of buyer-carts in B2B EC. From this paper, we show that the b-cart platform is more efficient than other buyer-carts especially in B2B EC.

• 한국IT서비스학회지
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• 제11권sup호
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• pp.61-74
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• 2012

As the retail industry has been challenged by stiff competition, the retailer becomes more interested in better understanding consumers' in-store behavior to gain and sustain competitive advantage. Consumers' shopping paths provide valuable clues to understanding customers' in-store behavior, which has been a long standing research issue in business. This study is to explore the shopping path patterns in a grocery using RFID technology and clustering method. To this end, we designed the RFID systems, affixing active RFID tags to the bottom of grocery carts. The tag emit signal that is received by receptors installed at various location throughout the store. The RFID systems provide the time and location of the cart while consumers shop around the store. The point of sale data are matched with the cart movement records to provide a complete picture of each shopping path. To find the distinctive patterns of consumers' shopping paths, we proposed the distance-index matrix using dijkstra method and normalization method to conduct the clustering in order to handle the problem in measuring the similarity among shopping paths, which is raised by the spatial nature of consumer movement in a grocery. After analyzing the RFID data obtained in one of the groceries in a major Korean retailer, we could successfully identify several distinctive patterns of shopping paths, which prove to provide the valuable implications for store management.

• 대한안전경영과학회지
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• 제9권6호
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• pp.155-162
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• 2007

Recently, retail store automation appliance market is changed with traditional POS systems techniques and RFID, radio POS system, and self checkout system, etc. in the foreign advanced distribution industry. Retailers and consumers require convenient POS system which can provide more functions and fast service. These requests bring to rapid evolution of various H/W and S/W corresponding with POS system. In this study with the POS systems and the RFID technology we develop core technology of movable u-POS system based on RFID that can use in large store. So we propose u-Cart system that can alternate the current shopping cart and POS terminal and that provide value added services to customer. As the result we present the configuration of u-Cart terminal device(WMDT : Wireless Mobile Data Terminal) including RFID reader module that can provide various information to consumer and some convenient client applications that are running in WMDT and u-POS administration service module.