• 한국IT서비스학회지
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• 제19권4호
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• pp.85-107
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• 2020

The Internet of Things market, a technology that connects the Internet to various things, is growing day by day. Besides, various smart home services using IoT and AI (Artificial Intelligence) are being launched in homes. Related to this, existing smart home-related studies focus primarily on ICT technology, not on what service improvements should be made in customer positions. In this study, we will use smart home application customer review data to classify functional and design elements of smart home usability value and examine the ways customers think of service improvement. For this, LG Electronics and Samsung Electronics" Smart Home application, the main provider of Smart Home in Korea, customer reviews were crawled to conduct a comparative analysis between them. In this study, the review of IoT home-applications was analyzed to find service improvement insights from customer perspective, and related analysis of text mining, social network analysis and Doc2vec was used to efficiently analyze data equivalent to about 16,000 user reviews. Through this research, we hope that related companies effectively seek ways to improve smart home services that reflect customer needs and are expected to help them establish competitive strategies by identifying weaknesses and strengths among competitors.

• 한국정보시스템학회지:정보시스템연구
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• 제8권2호
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• pp.91-110
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• 1999

Recently, searching agent systems to help purchase of products between business and customer have been actively studied in Electronic Commerce(EC). However, the most of comparative searching agent systems are only provided customers with searching results by the keyword-based search, and is not support the efficient decision models to be selected products considering the customer's requirements. This paper proposes the decision agent system applied decision model as well as searching functions based on the keyword-input to be selected useful products in EC. The proposed decision agent system is consist of the user interface, provider interface, decision model. Especially, as the example of the decision model, this paper is designed and implemented the prototype of decision agent system which is normalized the searching data and value of customer's preference weight as to each attribute, and orderly provided customers with computed results. This agent system is also carried out sensitive analysis according to the reflection ratio of the each attribute.

• 대한교통학회지
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• 제25권5호
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• pp.7-14
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• 2007

본 연구의 목적은 기존의 연구와 달리 실증분석을 통해 3PL서비스 품질에 대한 서비스제공자와 이용자 사이의 인식차이를 연구하는데 있다. 조사결과 3PL 서비스 품질을 구성하는 신뢰성, 효율성, 유형성, 반응성, 적시성의 5개 요소가 확인되었다. 아울러 이들 5개 요소에 대하여 3PL업체와 고객 사이에 중요도와 만족도 면에서 모두 유의한 차이가 나타났다. 특히 중요도의 인지적 차이는 효율성에 대해 가장 크게 나타났다. 적시성에 대해서는 서비스제공자, 화주 모두 그 중요성을 가장 크게 인지하였다. 한편 만족도에 대한 인지적 차이는 반응성에 대해 가장 그 차이가 크게 나타났다. 아울러 화주의 만족도가 반응성, 효율성 면에서 특히 떨어짐이 주목된다. 이러한 인식의 차이들을 줄임으로써 고객만족을 향상시키는 것이 3PL 서비스 제공자의 전략적 과제일 수밖에 없다.

• 한국산학기술학회논문지
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• 제17권11호
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• pp.322-331
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• 2016

본 연구는 소셜커머스 서비스품질과 서비스제공 업체의 물리적환경이 소셜커머스 신뢰 및 서비스제공 업체 만족을 통한 소셜커머스 충성도에 미치는 영향에 관한연구로, 가설검증결과는 다음과 같다. 첫 번째, 소셜커머스 서비스품질과 소셜커머스 신뢰와의 관계는 정보성(가설 1-1), 상호작용성(1-3)이 소셜커머스 신뢰에 통계적으로 유의한 결과를 미치는 것으로 나타났으며, 거래성(가설 1-2), 웹디자인(가설 1-4), 보안성(가설 1-5)은 통계적으로 유의하지 않는 것으로 나타났다. 두 번째, 서비스제공 업체 물리적환경과 서비스제공 업체 만족과의 관계는 청결성(가설 2-2), 분위기(가설 2-3), 상호작용성(3-5)이 서비스제공업체 만족에 통계적으로 유의한 결과를 미치는 것으로 나타났으며, 편리성(가설 2-1), 유용성(가설 2-4)은 통계적으로 유의하지 않는 것으로 나타났다. 마지막으로 소셜커머스의 신뢰와 서비스제공업체 만족과 소셜커머스 충성도간의 관계(가설 3, 4, 5)는 모두 통계적으로 유의한 결과를 미치는 것으로 나타났다. 본 연구의 결과는 공동구매형 소셜커머스에 대한 종합적인 이해와 함께 공동구매형 소셜커머스 및 서비스제공 업체의 활성화를 위한 전략의 수립에도 중요한 시사점을 제공할 것으로 기대된다.

• 산학경영연구
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• 제19권1호
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• pp.193-221
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• 2006

서비스전달과정에서 고객과 서비스제공자 사이의 인적 상호작용으로 정의되는 고객접촉은 다차원적 구조물로, 서비스품질에 강한 영향을 미치는 것으로 인식되고 있다. 고객접촉의 구성차원을 탐색하고, 이들이 서비스품질평가에 미치는 영향을 검증하기 위하여 강원도 설악권 호텔고객으로부터 설문조사를 통해 수집된 자료 분석결과는 다음과 같다. 첫째, 고객접촉은 고객과 서비스종업원 사이에 이루어진 접촉의 질적 측면을 반영하는 접촉근접성과 물리적인 커뮤니케이션의 지속정도에 관련되는 커뮤니케이션시간 등 두 차원적 구조물로 나타났다. 둘째, 선행연구결과에서와 같이 고객접촉은 전반적인 서비스품질에 긍정적인 영향을 미치는 것으로 확인되었다. 셋째, 고객접촉 구성차원은 독립적으로 또 동시에 네 차원으로 밝혀진 서비스품질 차원에 전반적으로 유의한 영향을 미치는 것으로 나타났다.

• 대한지역사회영양학회지
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• 제4권3호
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• pp.466-478
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• 1999

A significant gap can exist between what customers expect in foodservice and what service providers deliver to customers. Reducing the gap and enhancing service quality plays a key role in increasing customer satisfaction and repurchase intentions. The purpose of this study was to investigate the personal and operational characteristics that affect the customer perceptions of service quality, to analyze the overall satisfaction and repurchase intention of customers, and to study the service quality gap between customer and foodservice provides. 427 customers and 278 foodservice providers in 82 fast food and family restaurants were surveyed. T-test, ANOVA, Correlation Analysis, and Multiple Regression were used for statistical analysis, The results of this study were as follows: 1) Among the personal characteristics of customers, sex affected the preception of 'General Management' and 'Reputation', and the expense per person showed a correlation with service quality. 2) Among the operational characteristics, the type of restaurant, months since opening, and the number of seats had a significant impact on service quality, while the seat turnover rate showed a negative correlation with service quality. 3) Among the human resource characteristics, the proportion of part-time employees had a negative correlation with service quality, and in general, the training program for full-time employees led to a higher degree of customer perception of service quality. 4) Six dimensions of service quality accounted for 38.39% of customer satisfaction in Multiple Regression. 5) The overall satisfaction of customers willing to repurchase was significantly higher than that of the non-repurchase customers. 6) The operational characteristics explained over 35% for the service quality gap among the customers and the service providers in Multiple Regression.

• 한국의류산업학회지
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• 제14권5호
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• pp.803-810
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• 2012

This study investigates the effect of nonverbal communication on trust, switching barrier, and repurchase intention. Sample subjects used in this study were customers of a fashion shop in Sunchon. The questionnaires were conveniently sampled from July 2010 to August 2010. Questionnaire data from 335 customers of a national brand were analyzed through a reliability analysis, factor analysis, and multiple regression analysis. The results of this study are as follows. First, nonverbal communication by the service provider was divided into 3 types, physical appearance and paralanguage, postures and proxemics, and facial expressions. Second, it was found that physical appearance and paralanguage, postures and proxemics, facial expression of nonverbal communication had a significant impact on customer trust. Third, given the relationship between nonverbal communication and switching barrier, it was represented that the postures and proxemics and facial expressions (except physical appearance and paralanguage) had a significantly positive influence on the switching barrier. Forth, physical appearance/paralanguage, postures/proxemics, and facial expressions (nonverbal communication) had a positive influence on repurchase intention. Fifth, given the relationship between trust and repurchase intention as well as switching barrier and repurchase intention, it was represented that trust and switching barrier have a significantly positive influence upon repurchase intention. According to the results of this study, the more positive nonverbal communication by the service provider then the higher the customer repurchase intention as well as trust and switching barrier. Fifth, given the relationship between trust and repurchase intention as well as switching barrier and repurchase intention, it was represented that trust and switching barrier have a significantly positive influence upon repurchase intentions.

• Asia pacific journal of information systems
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• 제20권2호
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• pp.157-180
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• 2010

Rapid development of information technology has generated a new industry and market. In particular, network technology such as the Internet and other computer networks made transaction activities switched from traditional offline commerce to e-commerce. Among them, digital content is bit-based object which is created and distributed through electronic environment. In particular, many entertainment contents such as the music, the movies, and the computer game softwares are main products. Although digital content commerce has high potential demand, it lacks the consideration about the factor related to maintaining existing customer such as customer loyalty and switching costs. There has been a number of research on customer loyalty and other factors affecting it in the traditional electronic commerce environment, but there is a lack of research which examines the characteristics of digital content. The study about the effect of switching costs on customer loyalty in digital content commerce is necessary because the customers of digital content commerce market are from those of other e-commerce market or traditional offline commerce market. In addition, customer loyalty and switching costs are important factors because they may build up greater customer retention. For that reason, this study focused on examining the relationships among switching costs, antecedents for switching costs, and customer loyalty in online digital music service industry. The study has three major purposes: (1) to find antecedents of switching costs on digital content commerce and examine effect of antecedents for switching costs; (2) to identify effect of switching costs on customer loyalty in digital content commerce and examine moderating effects of alternative attractiveness; (3) to identify the differences of antecedents for switching costs by contents transmission type(streaming service and downloading service). And, the online digital music service industry is selected in this study since there are many users and transactions incurring. To accomplish these purposes, a survey questionnaire was developed and distributed to 256 informants. Survey instrument was developed based on previous research and pre-established survey items. Total of 206 surveys are collected and used in the data analysis. Among the respondents, 56.8% is male and 43.2% is female. Also, 86 responses were streaming service user group and 120 responses were download service user group. These data was analyzed using regression analysis. Major findings of empirical analysis can be summarized as follows. First, switching costs have positive effect on customer loyalty in digital content commerce environment. Second, the influence of switching costs on customer loyalty increases under conditions of high alternative attractiveness. Third, DRM convenience and breadth of use have positive effect on switching costs. The findings imply that the digital content provider should pay more attention to switching costs in addition to customer satisfaction in order to attract customers. Also, increasing the convenience of DRM use by securing the convenience of user interface and expanding the support device and increasing the service use scope by providing diverse value-added service helps to create a switching barrier. The result of the study can become a practical use in marketing strategy for maintaining existing customer. In particular, switching barrier is very important under conditions of high competition in the online music service market. This study can be used as a basis for further studies about customer retention in digital content commerce.

• 지능정보연구
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• 제15권1호
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• pp.15-30
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• 2009

인터넷을 통한 지식의 유통이 텍스트 형태의 지식뿐만 아니라 동영상 형태의 지식 유통으로 진화하고 있는 상황에서, UCC 지식 동영상을 공유하는 서비스가 나타나왔다. 본 논문은 동영상 UCC를 중심으로 지식 공유를 하는 'H' 사이트의 비즈니스 모델 평가 과정에서 수행된 고객 모델 분석사례를 보고한다. UCC 지식 동영상 공유 서비스는, 텍스트 형태의 지식공유 형태를 벗어나 새로운 형태인 동영상으로 지식을 공유한다는 점에서 불연속적 혁신의 형태를 띠며, 컨텐트 제공자와 컨텐트 소비자가 상호 매개되므로 직간접적 네트워크 효과가 일어나는 Value Network라는 특성을 가진다. 이렇게 불연속적 혁신이 일어나는 Value Network의 고객 모델 분석을 위해 첨단기술수용주기 이론인 캐즘 이론과 이를 심화 발전시킨 테크노그래픽스, 그리고 블루오션 전략에서 소개된 비고객 분석을 적용하여, UCC 지식 동영상 공유 사이트인 'H'사이트의 To-Be 고객 모델을 제안한다.

• 지식경영연구
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• 제20권2호
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• pp.25-42
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• 2019

AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.