• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.195-203
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• 2019

The study aims to identify Service Quality factors that affect purchase decision on Click and Collect service through the mediating variable of customer emotions at Mobile World stores in Ho Chi Minh City. This study employs a mixed methods research design. Data were collected through online self-completion questionnaire distributed to 316 customers who used to experience Click and Collect service at the Mobile World stores in Ho Chi Minh City, Vietnam. The theoretical model was tested through two-stage regression analysis (PATH model). The findings show that factors of service quality such as Reliability, Responsiveness, Assurance, Empathy, Tangibility, and Emotions affect the decision to purchase online and receive products directly at Mobile World stores in Ho Chi Minh City. Responsiveness and Assurance have a significant positive impact on the customer's emotions. Consequently, these factors should be considered and addressed when conducting multi-channel services. Obviously, employees must first be trained to be able to deliver the promise of the retailer to their customers. Based on the results of the study, the authors provide managerial implications for retailers in Vietnam in the multi-channel retail environment to develop Click and Collect at retail stores across the country and the world.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.528-533
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• 2008

Web page evaluation is important issue in the Internet. Web pages are increasing extremely fast. The web page evaluation based on frequency, like the count of the page view (PV), is not sufficient way even it is used variously. Because users never use the unnecessary or irrelevant web pages for a long time. We concentrated on user's visiting duration time for the evaluation web pages. And we can collect user actions. Users do some action when users using the web page in the web browser. The movements of mouse pointer, mouse button click, page scrolling and so on are produced in the web browser. JavaScript can collect user action and Ajax can send collected data to server when user using the web browser without no user notification.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.267-274
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• 2020

Click-through rate (CTR) prediction is an estimate of the probability that a user will click on a given item and plays an important role in determining strategies for maximizing online ad revenue. Recently, research has been performed to utilize CNN for CTR prediction. Since the CTR data does not have a meaningful order in terms of correlation, the CTR data may be arranged in any order. However, because CNN only learns local information limited by filter size, data arrays can have a significant impact on performance. In this paper, we propose a multi-array CNN model that generates a data array set that can extract all local feature information that CNN can collect, and learns features through individual CNN modules. Experimental results for large data sets show that the proposed model achieves a 22.6% synergy with RI in AUC compared to the existing CNN, and the proposed array generation method achieves 3.87% performance improvement over the random generation method.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.6
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• pp.1045-1061
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• 2016

This study clarifies differences in attitudes toward the Omni-Channel service (Pintech service, Beacon service, and Click and Collect service) and fashion consumption behavior among four clusters grouped by level of technology readiness. An online survey was conducted; 572 individuals between 20 and 30 years of age were collected, but only 539 were used. Factor analysis, cluster analysis, descriptive statistics, ANOVA, and frequency analysis were adopted to analyze data using SPSS 20.0. The results are as follows. Technology readiness was divided into four factors: optimism, innovativeness, discomfort, and insecurity. Participants were divided into four groups according to four sub-factors of technology readiness: brave adopters, optimistic laggards, indifferent adopters, and critical adopters. These groups showed significant differences in attitudes toward the Omni-Channel service and fashion consumption behavior. Critical adopters and brave adopters recognized the value of the Omni-Channel service and had more positive attitudes toward it than other groups. Critical adopters also better perceived the risk of service with new technology that showed higher fashion innovativeness and monthly consumption of fashion products than other groups. We inferred that the indifferent adopters did not use the Omni-Channel service or services offered by fashion retailers as much as other groups because indifferent adopters were less interested in both the Omni-Channel service and fashion consumption behavior than other groups. Optimistic laggards viewed the Omni-Channel service optimistically, despite perceptions of high risks to accompanying it and a low intent to use it. The results of this study assisted in the formation of a theoretical framework of consumer behavior associated with the Omni-Channel, which is an emerging issue in research related to distribution. The results can help fashion industries that operate consumer-oriented marketing based on Omni-Channel strategies.

• The KIPS Transactions:PartB
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• v.19B no.2
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• pp.149-154
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• 2012

The aim of this paper is to collect relevant keywords from clicklog data including user's keywords and URLs accessed using them. Our main hyphothesis is that two or more different keywords may be relevant if users access same URLs using them. Also, they should have higher relationship when the more same URLs are accessed using them. To validate our idea, we collect relevant keywords from clicklog data which is offered by a portal site. As a result, our experiment shows 89.32% precision when we define answer set to only semantically same words, and 99.03% when we define answer set to broader sense. Our approach has merits that it is independent on language and collects relevant words from real world data.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.917-928
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• 2021

This study is an empirical investigation of the effectiveness of guerrilla-marketing techniques in creating a positive brand image among generation Y (millennial) consumers. Five guerrilla techniques practiced by companies-such as viral marketing (EWOM), stealth marketing, ambush, graffiti, and clickbait ads-were studied, and hypotheses were proposed. This study adopted a quantitative approach and a questionnaire using the non-probability sampling technique was developed to collect data and self-administered to 248 millennial respondents on various university campuses. The data collected were analyzed through structured modeling on AMOS. The findings of this research revealed that guerrilla marketing affects symbolic and experiential brand image. Further, the results revealed that stealth marketing, graffiti, and click bait advertising were found to be influential on both symbolic and experiential brand images. As an exception, the hypotheses for ambush marketing were found to have no significant influence on the brand image (symbolic and experiential). Moreover, ambush technique in campaigns may have a negative impact on the brand image. Conversely, the study found that clickbait ads had a significantly negative influence on experiential brand image. Consequently, the results of this study strengthen past findings and concluded that guerrilla marketing techniques are beneficial communication tools in the limited marketing budgets.

• The Journal of Korean Association of Computer Education
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• v.15 no.6
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• pp.33-41
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• 2012

This paper presents the online assessment questions management system and method. The proposed system consists of a database to store learner information and zone-specific items grouped by difficulty and item bank. This database includes: an item selection department and authoring assessment to select questions about a particular learner or specific learning item. In this paper, we propose: an item bank database which stores online output assessments; and an online test department to collect and sort learner evaluation data and answer selection order for online tests, click statistics, response time, and analysis unit response patterns department by analyzing the data collected by the online learners' test assessment, learners' level and ability, the diagnosis and assessment of report propensity. The proposed system will diagnose and effectively evaluate the learner's learning levels and learning ability by: answer selection order, number of clicks, and response time reflected in the results of the learners' evaluations.