• Journal of Korea Society of Industrial Information Systems
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• v.27 no.1
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• pp.49-62
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• 2022

Online customer review data can be easily collected on the Internet and also they describe sentimental evaluation of a product in different aspects. Previous sentiment analysis studies evaluate the degree of sentiment with review data, which may have multiple sentences describing different product aspects. Since different aspects of a product can be described in a sentence, the proposed method suggested analyzing a sentence to build a pair of a product aspect terms and sentimental terms. Bidirectional LSTM and CRF algorithms were used in this paper. A pair of aspect terms and sentimental terms are evaluated by pre-defined evaluation rules. The paper suggested using the result of evaulation as inputs of QFD, so that the quantified customer voices effect on the requirements of a new product. Online reviews for a hair dryer were used as an example showing that the proposed approach can derive reasonable sentiment analysis results.

• Management & Information Systems Review
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• v.4
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• pp.285-308
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• 2000

Marketing is a topic of growing interest to nonprofit organizational managers(for example, hospitals, museums, charities and, churches, universities and colleges) as their organizations confront new, complex marketplace problems. These organization heads(specially in university and college) are laking their first, tentative steps toward marketing, often confusing it with its advertising and selling subfunctions. A genuine marketing response has been undertaken by a relatively small number of college in america. Their approach is best described as market-oriented institutional planning. In these approach, marketing is recognized as much more then mere promotion, and indeed, the issue of promotion cannot be settled in principles until more fundamental issues are resolved. According to market-oriented institutional planning customer satisfaction is one of the most important concept in university(college) marketing. Therefore, this study reviews literatures about university(college) marketing and general customer satisfaction. The literature study suggests some research hypotheses about customer satisfaction in college. Next, these hypotheses are tested empirically using ${\chi}^2-test$, multiple linear regression analysis and t-test. The research results worth explorative study on the customer satisfaction in the college.

• Journal of Construction Engineering and Project Management
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• v.3 no.4
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• pp.26-34
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• 2013

Customer satisfaction and customer relationship are crucial aspect in any enterprises including housing construction projects. In general, the housing developers are facing a number of new challenges in different countries including Libya. The construction industries/housing developers need to continuously improve their products and services to meet customers' satisfaction desires and to remain in the current competitive market. This paper focuses on analysing the satisfaction factors of customers including qualityaspects of products and services in the construction projects. A framework was developed to evaluate the dynamics relationship between customer satisfaction and quality products or services, aiming to help companies' managers and policy makers to understand the needs and points of view of their customers. Apragmatic analysis was conducted to explore and analyse the customer satisfaction factors in construction industry considering different aspect of customer groups in Libya. Results indicate that there is a high demand of improvements in the contractor's performance in terms of cost, time and quality of products. It was also found that Libyan construction companies have been forced to transform their policies after on Libyan war 2011 to focus on client and customer satisfactory policies, or say centric for the purpose of improving client requirements and turn the business into more advantageous for any company.

• Korean Journal of Community Nutrition
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• v.11 no.3
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• pp.383-391
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• 2006

The purposes of this study were to examine the impacts of characteristics of bakery cafe customers and service quality on customer perceived value, customer satisfaction, intention to revisit, and intention to recommend, and to provide comprehensive understanding on attitudes and behaviors of bakery cafe customers. The questionnaire was developed through literature review and focus group interviews and was modified after pilot test. The questionnaires for the main survey were distributed to 320 males and females aged 20 and over in Seoul. A total of 275 questionnaires were used for analyses (85.9%) and the statistical analyses were completed using SPSS Win (12.0) for descriptive analyses, regression analyses, and correlation analysis. The main results were as follows. There were significant differences of intention to revisit between groups of different gender, age, and personal expenses. The service quality of product dimension affected all tested variables, and the service quality of services and price dimension had effects on customer perceived value and intention to recommend. Customer satisfaction was a unique variable that is affected by service quality of the interior environments dimension. Overall, researchers and managers of bakery cafes should understand customer attitudes and behaviors, and the results of this study would help to establish marketing strategies that meet target customers' needs.

• The Journal of Information Systems
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• v.26 no.4
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• pp.327-353
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• 2017

Purpose Social media such as social network services, online forums, and customer reviews have produced a plethora amount of information online. Yet, the information deluge has created both opportunities and challenges at the same time. This research particularly focuses on the challenges in order to discover and track the service defects over time derived by mining publicly available online customer reviews. Design/methodology/approach Synthesizing the streams of research from text analytics, we apply two stages of methods of sentiment analysis and structural topic model incorporating meta-information buried in review texts into the topics. Findings As a result, our study reveals that the research framework effectively leverages textual information to detect, prioritize, and categorize service defects by considering the moving trend over time. Our approach also highlights several implications theoretically and practically of how methods in computational linguistics can offer enriched insights by leveraging the online medium.

• Journal of Korea Port Economic Association
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• v.28 no.1
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• pp.203-227
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• 2012

Based on the review of the existing studies, this study built the conceptual framework describing the structural relationships among port service quality dimensions(port internal service quality, external service quality, interaction quality), customer satisfaction, customer trust and customer loyalty. In specific, switching barrier was included as moderator in customer satisfaction and customer loyalty relationships. The subjects are the customers who use the Busan New Port. A survey using 317 customers was conducted, Confirmatory factor analysis was conducted to test the validity of the measurement model, and AMOS analysis approach was used to gain important insights into how customer retention in the port business can be ensured. Results in this paper indicate that customer trust and satisfaction are identified as antecedents of the port service quality dimensions. Customer satisfaction positively influences trust. Customer trust and satisfaction positively influence loyalty. Switching barrier positively moderates the relationship of customer satisfaction and customer loyalty. Finally, this study suggests that the implications of these findings and offers directions for future research.

• Korean Management Science Review
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• v.17 no.3
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• Management & Information Systems Review
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• v.31 no.4
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• pp.309-337
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• 2012

This study aims to suggest theoretical models and background for the analysis of antecedent factors such as customer satisfaction and repurchasing decision by use of Technology-Based Self-Service (TBSS) delivery service. Specifically, the study have focused on the analysis that after the values of customer satisfaction and repurchasing decision were transformed into the values of Cost-Benefit analysis and then compared with the values of result benefits, process benefits, financial costs and non-financial costs. After analysis, it was found that ordering and delivery service by use of TBSS has a positive influence on customer satisfaction in terms of result benefits, process benefits, time savings and financial cost savings. In addition, it was confirmed that sub-category of customer satisfaction such as overall satisfaction, satisfaction for expectations, satisfaction for ideals has also a positive impact on repurchasing decision. It is expected that the results of this study will help analyze the customer satisfaction and repurchasing decision and provide a practical help for a business.

• Journal of Information Technology Services
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• v.22 no.5
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• pp.1-16
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• 2023

This study aimed to provide fundamental insights into the digital customer experience by identifying its components and analyzing their importance and satisfaction levels among youths. To achieve this objective, the components of digital customer experience were identified through a review of prior research and consultation with experts. Subsequently, a survey was conducted with 200 youths in Seoul and Gyeonggi-do. The main findings of the study are as follows: First, The components of the digital customer experience consisted of 12 items grouped into three categories. Second, an analysis of the disparity between the importance and satisfaction levels of digital customer experience revealed statistically significant differences across all items. Third, By utilizing IPA (Importance-Performance Analysis), the digital customer experience was categorized into four quadrant, each with its own characteristics and recommendations for management: The first quadrant, the "current level maintenance area," encompassed items related to "entertainment" and "recommended service." This area is currently functioning well but necessitates continuous attention and management. The second quadrant, the "area to be supported first," included items such as "personalization," "security," "inducing participation," "privacy," and "individuality expression." Intensive management and improvements are imperative in this quadrant. The third quadrant, the "long-term improvement area," consisted of items like 'consistency,' 'information quality,' and 'convenience.' These items require focus on long-term enhancement efforts. The fourth quadrant, the "areas where efforts have already been invested," encompassed items like 'accessibility' and 'deliberation.' It appears that excessive investment has been made in these areas relative to their importance, calling for selective investments while considering the specific issues associated with each factor. These research findings serve as essential data for managing the digital customer experiences of youths.

• International Commerce and Information Review
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• v.12 no.1
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• pp.353-373
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• 2010

This paper researched on countries effect of country-of origin product of the Korea customer. Also This study was analysis to purchase frequency and purchase place for products of the U.S.A, Japan, China, EU, and Chile in Korea market. That is to say, this study is reviewing on country image subject including country of origin. According to WTO rule, The rules of origin should be administered in a consistent, uniform, impartial and reasonable manner. The objective of this article is to explore the relationship between country of origin and consumer effect using empirical analysis. The country of origin was divided into country of design, assembly, and parts. A survey questionnaire was sent to 250 customer in Korea market, and 220 usable responses were obtained. The 213 samples are analyzed with the countries origin effect. Multiple regression results show that the U.S.A and Japan product are positively affected by the purchase effectiveness of Korea customer's. However, The EU, China and Chile products do not affect effectiveness in Korea market. This article contributes to a understanding of effects of country-or-origin. When the nation image has been made, marketing approaches considering both image of country of manufacture origin and motivational focus can be utilized simultaneously.