• Title/Summary/Keyword: customer space

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Improvement of Item-Based Collaborative Filtering by Applying Each Customer's Purchase Patterns in Offline Shopping Malls (오프라인 쇼핑몰에서 고객의 과거 구매 패턴을 활용한 아이템 기반 협업필터링 성능 개선에 관한 연구)

  • Jeong, Seok Bong
    • Journal of Information Technology Applications and Management
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    • v.24 no.4
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    • pp.1-12
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    • 2017
  • Item-based collaborative filtering (IBCF) is an important technology that is widely used in recommender system of online shopping malls. It uses historical information to compute item-item similarity and make predictions. However, in offline shopping each customer's purchasing pattern can be occurred continuously and repeatedly due to time and space constraints contrast to online shopping. Those facts can make IBCF to have limitations from being applied to offline shopping malls directly. In order to improve the quality of recommendations made by IBCF in offline shopping mall, we propose an ensemble approach that considers both item-item similarity of IBCF and each customer's purchasing patterns which are modeled by item networks. Our experimental results show that this approach produces recommendation results superior to those of existing works such as pure IBCF or bestseller approaches.

Development of Web-based Intelligent Recommender Systems using Advanced Data Mining Techniques (개선된 데이터 마이닝 기술에 의한 웹 기반 지능형 추천시스템 구축)

  • Kim Kyoung-Jae;Ahn Hyunchul
    • Journal of Information Technology Applications and Management
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    • v.12 no.3
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    • pp.41-56
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    • 2005
  • Product recommender system is one of the most popular techniques for customer relationship management. In addition, collaborative filtering (CF) has been known to be one of the most successful recommendation techniques in product recommender systems. However, CF has some limitations such as sparsity and scalability problems. This study proposes hybrid cluster analysis and case-based reasoning (CBR) to address these problems. CBR may relieve the sparsity problem because it recommends products using customer profile and transaction data, but it may still give rise to scalability problem. Thus, this study uses cluster analysis to reduce search space prior to CBR for scalability Problem. For cluster analysis, this study employs hybrid genetic and K-Means algorithms to avoid possibility of convergence in local minima of typical cluster analyses. This study also develops a Web-based prototype system to test the superiority of the proposed model.

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The Impact of Social Network Service, Trust and Cognition on Customer Loyalty in Internet Shopping

  • Sun, Han-Gil
    • Journal of Information Management
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    • v.42 no.2
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    • pp.211-234
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    • 2011
  • The development of information technology improves the globalization of the world economy. This change was able to expand the cyber space, and the online community known as the cyber community is made within the existing offline community. From the cyber community's activity, the concept of social network services created, and recently developed social computing. Social computing is the current situation and the next step in the online community. Currently, most CIOs are using social computing for workplace empowerment. As online transactions become more active, the strategy to increase customer loyalty in Internet shopping is an effective tool to increase profit for the company, and as a method to maintain competitive. With the growth of electronic commerce, through insurance of customer loyalty on the Internet, a company can establish a long-term relationship with customers, so for this, it is important to have reliable relationship with customers. Also, through advertisement and commercial information, the cognition of Internet shopping looks can be effective in retaining customers. In this study, it explores how social computing and trust and cognition of Internet shopping are effective in maintaining customer loyalty. As the result of study, the trust and cognition of Internet shopping are significantly effective on customer loyalty, but the sense of social computing. Still, social computing has not matured enough to be as effective in retaining customer loyalty. However, it does indicate that social computing has significantly increased the trust and cognition in Internet shopping. In this study, as the concepts of the social network service and social computing are applied in Internet shopping, which are actively discussed by scholars, it is expected that the basis of the study could improve and present the idea of social shopping.

The effect of emotional experience on customer response in the Metaverse: Focusing on medical tourism services (메타버스에서의 정서적 경험이 고객반응에 미치는 효과: 의료관광서비스를 중심으로)

  • Yoon Yong Hwang;Mi Ra Kim
    • Smart Media Journal
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    • v.13 no.2
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    • pp.156-164
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    • 2024
  • The Metaverse as a combination of physical and digital space, provides many consumers with a different process of search, evaluation, consumption, and disposal than before, based on hyper-connected and hyper-realistic services. Therefore, it is necessary to examine what kind of sensory experiences customers feel when performing various activities in the Metaverse and how these experiences affect customers' behavioral responses. This study measured the temporal and emotional experience of the Metaverse service environment felt during the Metaverse experience journey of customers experiencing medical tourism services. The results of the study showed that the emotional experience through Metaverse had a more positive impact on customer satisfaction and customer loyalty as the intensity of the Metaverse experience deepened. In particular, it was confirmed that the emotional experience at the end of the Metaverse service had a positive influence on repurchase behavior. These results show that, just as in the real world, customer experience in the Metaverse can provide important insight into understanding customers' post purchase behavior and how service providers can develop and implement effective customer experience strategies in the Metaverse environment.

The Factors and Effects of Metaverse Service Authenticity: Focusing on the Metaverse Education Service (메타버스 서비스 진정성 구성 요인과 효과에 관한 연구: 메타버스 교육 서비스를 중심으로)

  • Daebong Choi;Sangyeon Song;Junsu Bae
    • Journal of Information Technology Applications and Management
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    • v.30 no.6
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    • pp.53-68
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    • 2023
  • Through the COVID-19 pandemic, the demand for non-face-to-face communication systems has surged, leading to an increased prevalence of virtual interactions across various domains, such as tasks, meetings, orders and deliveries, and even student education. Against this backdrop, interest in the metaverse platform has been on the rise, with metaverse services like Zepeto, Roblox, and Minecraft expanding beyond gaming to encompass educational fields as well. This study aims to identify authenticity factors influencing metaverse platform-based educational services and examine their impact. The authenticity components are defined as integrity, empathy, interactivity, presence, and uniqueness. The study investigates the effects of these authenticity components on both service value and service satisfaction. To achieve this, a survey involving 320 metaverse users was conducted, and the model was subjected to statistical validation. The findings of this research underscore that perceiving metaverse education services, still in the early stages of introduction, as authentic educational methods for learners positively influences satisfaction with the educational service.This study holds significance as it lays the theoretical groundwork for enhancing the authenticity of educational services in virtual space. It defines and proposes authenticity elements for customer satisfaction in metaverse educational services, which are still in their nascent stages. Moving forward, it is anticipated that various studies will be conducted to enhance the value of metaverse education services and achieve higher customer satisfaction as customer experiences evolve and deepen.

A Study on the Pedestrian Path Choice in Clothing Outlets - Focused on the Three Sample Outlet Customer Circulation System - (대형 의류매장의 경로선택에 관한 분석적 연구 - 3개 매장 고객동선의 사례를 중심으로 -)

  • 박순주;정성욱;임채진
    • Korean Institute of Interior Design Journal
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    • no.28
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    • pp.140-148
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    • 2001
  • The purpose of this thesis is to provide basic information of efficient flow line arrangement, which results from examining the factors of route choice with a focus on the store' space elements and pedestrian activity patterns in the outlets. The route tracking is applied to grasp pedestrian activity patterns, therefore, a concrete analysis into influential factors of the space structure arrangement and forms on route choice. The route tracking is a means to understand pedestrian activity patterns by establishing an unrecognizable space and examining every route in the investigating area for pedestrian activity pattern research. Three sample stores have different systems in the ground plan structures, the escalator location and the directions. The analysis focuses on the booth arrangement and shopping patterns. In conclusion, route choice of the customers and the structure of the space are quite closely related and affect the quality of shopping. This can suggest evidence for the need of the space structure to meet the pedestrian activity patterns.

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The Effects of Service Qualities on Customer Satisfaction and Behavioral Intention in Coffee Shops (커피전문점의 서비스품질이 고객만족과 행동의도에 미치는 영향)

  • Kim, Ho-Sik;Shim, Jae-Hyun
    • The Journal of Industrial Distribution & Business
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    • v.8 no.5
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    • pp.95-109
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    • 2017
  • Purpose - The purpose of this study is to classify the quality factors of coffee shop customers with the service quality based on the SERVQUAL, selection attributes, and service qualities used in previous studies. The path structure of coffee shops' quality factors → customer satisfaction → trust → behavioral intention was analyzed in order to confirm the system of coffee shops' quality factors. Research design, data, and methodology - The survey of was conducted with college students of Kangwon University. A total of 250 questionnaires were distributed, with 232 collected. Of them, Excluding 36 respondents' because of incomplete answers and missing values, 196 responses were used in the final analysis. Empirical analysis was made through factor analysis, correlation analysis, multiple regression analysis, simple regression analysis and mediating regression analysis by using Statistics Package SPSS 19.0. Results - The results are as follows: Firstly, coffee shops' quality factors were classified into seven categories like service encounter quality, product quality, cleanliness, overall interior, purchase quality, convenience, and aesthetics. Secondly, service encounter quality, product quality, purchase quality, and aesthetics had a positive effect on customer satisfaction, respectively. Thirdly, it showed that service encounter quality, product quality, overall interior, purchase quality, and aesthetics had a positive effect on trust, respectively. Fourthly, customer satisfaction had a positive effect on behavioral intention. Lastly, after verifying the effect relations of trust between customer satisfaction about coffee shop and behavioral intention, customer satisfaction has a positive effect on trust and trust has a positive effect on behavioral intention. On the other hand, trust did not have a mediating effect between customer satisfaction and behavioral intention. But, cleanliness, convenience, and overall interior did not have a positive effect on customer satisfaction. Conclusions - Coffee shop consumers put importance on price, discount systems, taste, and freshness, but more on courteous and kind services of coffee shop staff or comfortable and calming atmosphere of inner space. Thereby, coffee shop marketers need to take factors like service encounter quality and aesthetics into more consideration. In addition, customer satisfaction has an effect on trust, while trust on behavioral intention, even though trust is not mediated between customer satisfaction and behavior intention.

The Impact of Servicescapes of Global Coffee Franchise Store on Customer Satisfaction and Loyalty: The Case Study of 'C' Franchising Company in Mongolia (글로벌 커피 프랜차이즈 전문점의 서비스스케이프가 고객만족과 충성도에 미치는 영향 : 몽골의 'C' 기업의 사례 연구)

  • Samdan, Davaasuren;Han, Young-Wee;An, Dae-Sun
    • The Korean Journal of Franchise Management
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    • v.9 no.3
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    • pp.19-29
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    • 2018
  • Purpose - Due to the increase in coffee consumption and competition, domestic coffee franchise companies are currently entering the overseas market. Therefore, coffee franchise companies are pursuing a variety of marketing strategies to meet customer needs and gain competitive advantage in overseas markets. From this perspective, overseas franchise companies need to ensure that their servicescapes meet the needs of their overseas customers. For these purposes, the study is to identify the impact servicescapes on customer satisfaction and customer loyalty focused on Global Coffee Franchise Company "C", which extended its business worldwide in Mongolia. Research design, data, and methodology - The data were collected from customers who had visited the stores of 'C' company in Ulaanbaatar, Mongolia. 435 valid questionnaires collected through online survey coded and analyzed using frequency, confirmatory factor analysis, correlations analysis, and structural equation modeling with SPSS 24 and SmartPLS 3.0. Result - Firstly, seating comfort, facility aesthetics, and cleanliness, ambient conditions among servicescapes influenced customer satisfaction. Secondly, servicescapes didn't affect the loyalty directly. Third, customer satisfaction had positive effect on loyalty. Fourthly, cleanliness which was ranked lower in Korea had a great effect on customer satisfaction in Mongolia. Fifthly, IPMA(Importance-performance map analysis) shows that the importance of servicescapes is higher for women than for men, and facility aesthetics for female and cleanliness is the most important for male. Conclusions - The results of this study show that there is a positive (+) effect on customer satisfaction in order of cleanliness, ambient conditions, aesthetics, and seating comfort. Therefore, franchise companies considering or advancing into Mongolia should consider importance in order of cleanliness, ambient conditions and aesthetics when entering Mongolia market. For example, franchise managers should select Monday as a "clean day," and all merchants should spend all of their open hours and keep their stores clean in accordance with the head office manual. In addition, franchise managers need to hire a VMD (visual merchandising) experts to build up a physical environment that will effectively highlight the space-specific display of the store so that Mongolian local customers can have a satisfactory climate and aesthetics. And, the IMPA analysis between servicescapes and customer satisfaction shows that women are more susceptible to servicescapes than men. Especially, in the case of women, the importance of esthetics is high, but the performance is low. Thus, if the aesthetics are actively improved, customer satisfaction can be effectively increased.

The Effects of Servicescapes of the Korean Restaurants on Perceived Value and Customer Satisfaction (한식당의 서비스스케이프가 지각된 가치 및 고객만족에 미치는 영향)

  • Seo, Dong-Hwan;Yoo, Young-Jin
    • The Journal of the Korea Contents Association
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    • v.17 no.2
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    • pp.183-197
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    • 2017
  • The purpose of this study is to examine the effects of servicescapes of the Korean restaurants on perceived value and customer satisfaction. Collected data were analyzed by frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis and covariance structure analysis using SPSS 22.0 and AMOS 22.0 programs. The results of this study are as follows: First, among factors of servicescape, space, aesthetics, cleanliness, convenience and comfort had a significant influence on perceived value. Second, among factors of servicescape, aesthetics, cleanliness and comfort had a significant influence on customer satisfaction. Third, perceived value had a significant influence on customer satisfaction. Finally, the conclusion section suggested strategic implications to induce perceived value and customer satisfaction based on the findings.

Customer Satisfaction in Secondhand Market : Case Study of SELL-IT (중고시장의 고객만족경영: 셀잇(Sell-it) 사례를 중심으로)

  • Kim, Young Suk;Jeon, Da Young;Oh, Ju Seon;Kim, Na Yeon;Jeon, Won Gil;Cho, Jieun
    • Journal of Service Research and Studies
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    • v.6 no.3
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    • pp.123-139
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    • 2016
  • As competition continues to increase, it becomes even more important for companies to improve customer satisfaction to survive. Many companies have tried to improve customer satisfaction in their own ways. This case study focuses on the market for used products, and introduces the case of the start-up company, SELL-IT, a company that has made great efforts to solve the problems commonly facing their customers and has been rewarded by improved customer satisfaction. Focusing on improving communications between buyers and sellers, the root of many problems in any market, SELL-IT has introduced a number of new systems to solve the problems that plague the secondhand market. This case study provides marketers with practical implications to improve customer satisfaction in the secondhand market.