• 유통과학연구
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• 제20권8호
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• pp.9-20
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• 2022

Purpose: Distribution competence plays a key role in supply chain management. A successful distribution system will bring high values and profit for company. Omni-channel is a modern type of distribution which is used by many companies to access customers more effectively. This research is about the influence of distribution competence on customer value creation, competitive advantage and business performance of retailers in omni-channel. Research design, data and methodology: Questionnaires were issued to 200 managers who have experiences in using an Omni-channel to provide consumer goods. PLS-SEM is used to check the relationship among these above factors in omni-channel in Vietnam context. Results: Distribution competence has positive direct effect on business performance. At the same time, it has positive indirect effect on business performance through the mediating role of customer value creation and competitive advantage. Moreover, the role of mediating variables make contribution to strengthen the relationship of distribution competence and business performance in omni-channel. Conclusions: Through distribution competence, retailers can get competitive advantage, create more values for customers and increase business performance in omni channel in Vietnam.

• Asia pacific journal of information systems
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• 제14권1호
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• pp.185-209
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• 2004

The purpose of this study is to propose and test a model of customer retention in Internet shopping malls when switching barriers and comprehensive customer value exist in terms of economic and experiential aspects. The literature about customer retention propose that switching barriers are important factors other than satisfaction influencing customers' intention to remain with a specific supplier. The switching barriers mean anything that makes customers' defection difficult or costly and are consisted of perceived switching costs, attractiveness of alternatives and virtual relationships. The Customer Value Scale by Mathwick(2001) is applied to this study as economic value, shopping efficiency, service excellence, aesthetic appeal and playfulness(Zeithaml, 1988; Holbrook, 1994). The analyses showed partial support for the affirmative effect of customer values and switching costs and full support for the affirmative Influence of satisfaction on repurchase intention in the Internet shopping mall environment. But the attractiveness of alternatives and virtual relationship did not have a significant Influence like the result of Jones(1998)'s study of the service industry.

• Journal of Information Technology Applications and Management
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• 제23권1호
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• pp.97-117
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• 2016

Drawing on the theoretical framework of customer value-satisfaction-loyalty, this study examines how scarcity message influences customers' value, satisfaction, and loyalty in the context of group-buying social commerce. Previous studies have argued that scarcity message limiting the avilability of products and service is a source of enhancing customer value. In this regard, this study posits scarcity message as a predictor of customer value. Furthermore, this study classifies customer value into two forms (i.e., utilitarian value and hedonic value) and verfies how scarcity message is associated with them. To test the proposed research model and hypotheses, this study performed structural equation modeling (SEM) analyses, using a total of 292 data collected on users who have experience in purchasing products and service through group-buying social commerce sites such as Coupang, Timon, and WeMakePrice. The key results are as follows : First, scarcity message increases utilitarian and hedonic values and further customer satisfaction. Second, utilitarian value increases customer satisfaction and repurchase intention while hedonic value has nothing to do with them. The findings imply that customers seek to maximize utilitarian value through group-buying social commerce. Finally, this study indicates that repuchase intention depends greatly on customer satisfaction.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2005년도 춘계학술대회
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• pp.443-461
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• 2005

The internet has been giving new business opportunities due to the unlimited and convenience of using it. So, A lot of companies confront many challenges to hold customer. In this situation, The holding many customers of online car insurance company could have very significant meanings, Therefore, this study could be meaningful to analyze the factor of building customer loyalty. The main results of the paper are as follows : Firstly, The attributes and recent situation of online car insurance have been researched. Secondly, The Customer brand relation quality(BRQ) has been shown a important role of building loyalty. Finally, Conceptual criteria for the study, which was modified considering cultural values of Korean customer from Fournier's seminal study, have shown very significant means.

• Asian Journal of Innovation and Policy
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• 제3권2호
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• pp.245-261
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• 2014

Knowledge, technology and information have special characteristics different from the ones of normal consumer products and services. Especially the value of such information varies according to external elements such as the provided environment, their method of utilization, and the level and purpose, etc. of the user. In this study, the indicators of information customer value are developed and measured to enhance customer-based values with efforts for making new customers and maintaining existing customers. The result is as follows: 14 customer value indicators were developed. Among the indicators, value gained versus effort, reduced time for research idea investigation and savings in time searching for equipment, and tools and materials got the highest score, which means that time-saving effects were the most important. The field study of this paper was conducted from information users in the field of national R&D, and thus future studies could be conducted in various industries in many countries to attain generalized results.

• 디지털산업정보학회논문지
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• 제19권4호
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• pp.1-11
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• 2023

Clustering analysis is used in various fields including customer segmentation and clustering methods such as k-means are actively applied in the credit card customer segmentation. In this paper, we summarized the input features selection method of k-means clustering for the case of the credit card customer segmentation problem, and evaluated its feasibility through the analysis results. By using the label values of k-means clustering results as target features of a decision tree classification, we composed a method for prioritizing input features using the information gain of the branch. It is not easy to determine effectiveness with the clustering effectiveness index, but in the case of the CH index, cluster effectiveness is improved evidently in the method presented in this paper compared to the case of randomly determining priorities. The suggested method can be used for effectiveness of actively used clustering analysis including k-means method.

• 한국IT서비스학회지
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• 제17권2호
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• pp.191-205
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• 2018

With the advancement of artificial intelligence (AI) techniques, many consumer products have adopted AI features for providing proactive and personalized services to customers. One of the most prominent products featuring AI techniques is a smart speaker. The fundamental of smart speaker is a portable wireless Internet connecting speaker which already have existed in a consumer market. By applying AI techniques, smart speakers can recognize human voices and communicate with them. In addition, they can control other connecting devices and provide offline services. The goal of this study is to identify the impact of AI techniques for customer rating to the products. We compared customer reviews of other portable speakers without AI features and those of a smart speaker. Amazon echo is used for a smart speaker and JBL Flip 4 Bluetooth Speaker and Ultimate Ears BOOM 2 Panther Limited Edition are used for the comparison. These products are in the same price range ($50~100) and selected as featured products in Amazon.com. All reviews for the products were collected and common words for all products and unique words of the smart speaker were identified. Information gain values were calculated to identify the influences of words to be rated as positive or negative. Positive and negative words in all the products or in Amazon echo were identified, too. Topic modeling was applied to the customer reviews on Amazon echo and the importance of each topic were measured by summating information gain values of each topic. This study provides a way of identifying customer responses on the AI feature and measuring the importance of the feature among diverse features of the products.

• 농업생명과학연구
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• 제45권5호
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• pp.127-143
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• 2011

DEA모형에 의한 운영효율성 분석결과로부터 얻을 수 있는 시사점은 다음과 같다. 정부의 "산지유통종합평가" 제도의 개선을 통해 사업실적 위주의 규모화 전문화 조직화에 초점을 맞춰 이루어져온 것을 경영효율성 위주로 전환해야 할 것이다. 산지유통센터의 목적도 농산물의 부가가치를 높이는 것이고 이를 평가할 수 있는 지표를 개발하여 평가함으로써 농산물 산지유통센터 구성원들에게 실질적인 인센티브와 다양한 양질의 서비스를 제공할 수 있도록 해야 할 것이다. 그리고 농산물 산지유통센터가 종합평가에 경영의 중점을 두고 있기 때문에 이를 개선, 보완하기 위해 유통부가가치를 평가할 수 있는 지표의 개발, 평가에 대한 고객만족도 지표의 개발, CRM(Customer Relationship Management)시스템 도입을 통한 고객관계 유지 실적을 평가할 수 있는 지표의 개발 등도 추진되어야 할 것이다.

• 한국경영과학회지
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• 제33권3호
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• pp.59-76
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• 한국의상디자인학회지
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• 제15권4호
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• pp.83-99
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• 2013

This research is a follow-up study about analysis on the many different customer groups and their various culture trend, which intends to realize diverse values depending on the sense. The purpose of this study was to develop direction forecast for the future fashion industry through consideration about the characteristics of contemporary fashion industry by the change of different customer's culture trend. And also try to find solution to survival strategy of fashion fields able to evolve with customer. Change of the customer's cultural trend draws a shift in policy in the 21st fashion industry as follows : 1) mash-up 2) complexation through decentering and blurring 3) invisible and immaterial value oriented 4) expansion of minor small market. Moreover, this shows sociocultural meaning as follows. First is spread of flexible and horizontal relationship through collaborative consumption and collaboration. Second is concentration on floating and indeterminate chance through dismantling of various different fashion categories. Third is formation of the permanent difference by selection and focus. Last is expansion of understanding about cultural-ecology. Customer cultural trend is 'meme' of cultural gene in fashion field, so it intends to co-evolute with customer by continuous change.