• Journal of Korean Society for Quality Management
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• 제40권1호
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• pp.1-14
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• 2012

This study investigates the impact of supplier involvement, customer involvement, and employee training on product quality and organizational performance. Based on literature review, this study develops hypotheses and tests them by employing a structural equations model. Using survey data of 193 firms from 22 manufacturing industries, this study empirically shows that the activities for supply chain quality management (SCQM) enhance the quality and organizational performance. Specifically, quality leadership is revealed to be an antecedent of other SCQM activities. The most contributable finding is, while the supplier involvement and employee training directly enhance the organizational performance, customer involvement indirectly improves it via quality performance.

• Korean Management Science Review
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• 제30권1호
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• pp.59-72
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• 2013

This research has seven factors such as top management leadership, belt system operation, implementation of systematic methods, adequate project performance measurement, customer focus performance, quality performance and business performance. Those are critical to correct implementation of Six Sigma. I set seven hypotheses which represented the relationships among the seven factors, gathered questionnaires and analyzed the data. Top management leadership affected positively the adequate project performance measurement and the belt system operation, The belt system operation affected the implementation of systematic methods positively and it also affected the adequate project performance measurement. It affected positively the customer focus performance, the quality performance and the business performance, respectively.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.176-180
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• 2023

Aim of this study to examine the mediating role of network service between perceived quality, retailer service and customer satisfaction during COVID-19. Primary data gathered through adopted questionnaire from previous studies and 200 university students were asked to fill online questionnaire during COVID-19 situation in country. Structural Equation Modelling technique applied in order to test the proposed hypothesis generated from existing literature review. Findings revealed full mediation effect of network service for both perceived quality and retailer service on customer satisfaction during COVID-19. New insights of this study are key role of network services is identified and university students' satisfaction is measured for online classes in developing country, Pakistan. In future serial mediation is suggested for validity of existing results in developed and developing countries.

• Management & Information Systems Review
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• 제25권
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• pp.1-34
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• 2008

This empirical research examined the effects of organizational service orientations on business performance since the service orientations had been considered very importantly for delivering excellent service quality in many studies. The purpose of this study was to investigate the relationships among service orientations, customer orientations, employees' job satisfactions and business performance in medical service organizations. A model and hypotheses on the basis of this model were developed. And data from employees in medical service organizations were collected using questionnaires. Respondents were asked to related variables of their organizations. A total of 217 questionnaires collected were used to test hypotheses. The results obtained were as follows; first, service orientation factors had a positive significant effect on customer orientations, employees' job satisfactions and business performances. Second, employees' job satisfaction had a positive significant effect on their customer orientations. Third, customer orientations and employees' job satisfactions had a positive significant effect on business performances. Thus, it is advisable for managers or operators to emphasize service orientations in medical service organizations. This study is specific to ambulatory service in a medical service organizations, so generalizing the results to other area may not be possible. Although this study may help to guide the roles of service orientations, customer orientations, employee satisfactions and business performances in medical service organizations, future studies should consider other relative variables.

• The Research Journal of the Costume Culture
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• 제10권6호
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• pp.680-696
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• 2002

The aim of this study was to identify the components of customer-based fashion brand equity which was built from customers´perception to equity. As a method, both literature review and empirical research were made. This study performed in three stages from May to November in 2001. In the exploratory step. focus-group interview was conducted 5 times for gathering responses related to fashion brand equity, and free association test of 17 respondents was additionally conducted. In pilot study, 40 university students were surveyed and the data were analyzed in order to identify the components of fashion brand equity and to develop questionnaire. In the main research, 905 university students evaluated fashion brand equity in order to analyze the components of fashion brand equity in customers´perception. Statistical analyses were performed with SAS program using factor analysis, cronbach´α, frequency, and mean. The results of this study was as fellows. First, fashion brand equity was defined in terms of four components; customer-brand resonance, brand imagery/customer feeling, brand performance/customer judgment and brand awareness. Second, fashion brand equity was multi-dimensional brand attitude, which could be measured by 29 variables that were different from uni-dimensional evaluation of previous studies.

• Journal of Distribution Science
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• 제20권11호
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• pp.47-59
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• 2022

Purpose: The study aims to synthesize research trends regarding the distribution of 'other customer perception' on 'brand experience'; concurrently, to identify the promising research directions and suggest useful for managers. Research design, data, and methodology: The paper deals with the distribution of 'other customer perception' on 'brand experience' through evaluating a systematic review combined with biological mapping analysis (VOS viewer) with 226 documents published in 142 journals from 1987 to 2021. Results: The study synthesizes and analyzes existing literature reviews on the distribution of 'other customer perception' on 'brand experience', which mainly highlights three research topic groups. Exploring the component of relationship should be considered in the brand experience scale when the research context is the social interactions surrounding the customer's purchasing process. Moreover, the presence of mindfulness in several publications has suggested a potential research direction in the consumer behavior field. Conclusions: The systematic reports can be a useful reference for managers towards building brand experience based on distribution of 'other customer perception' with moderating of mindfulness - a new finding of behavioral interaction that has just experienced the Covid-19 pandemic which is experienced directly at the store and lead to many changes in consumer psychology.

• Information Systems Review
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• 제10권2호
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• pp.137-158
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• 2008

Rapid development of various information technologies creates new opportunities in online and offline markets. In this changing market environment, customers have various demands on new products and services. Therefore, their power and influence on the markets grow stronger each year. Companies have paid great attention to customer relationship management. Especially, personalized product recommendation systems, which recommend products and services based on customer's private information or purchasing behaviors in stores, is an important asset to most companies. CRM is one of the important business processes where reliable information is mined from customer database. Data mining techniques such as artificial intelligence are popular tools used to extract useful information and knowledge from these customer databases. In this research, we propose a recommendation system that predicts customer's purchase intention. Then, customer's purchasing intention of specific product is predicted by using data mining techniques using receipt data set. The performance of this suggested method is compared with that of other data mining technologies.

• KIPS Transactions on Software and Data Engineering
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• 제9권9호
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• pp.259-266
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• 2020

In this paper, we propose a novel scheme for product effect analysis, termed PEM, to find out the effectiveness of products used for improving the current condition, such as health supplements and cosmetics, by utilizing online customer reviews. The proposed technique preprocesses online customer reviews to remove advertisements automatically, constructs the word dictionary composed of symptoms, effects, increases, and decreases, and measures products' effects from online customer reviews. Using Naver Shopping Review datasets collected through crawling, we evaluated the performance of PEM compared to those of two methods using traditional sentiment dictionary and an RNN model, respectively. Our experimental results shows that the proposed technique outperforms the other two methods. In addition, by applying the proposed technique to the online customer reviews of atopic dermatitis and acne, effective treatments for them were found appeared on online social media. The proposed product effect analysis technique presented in this paper can be applied to various products and social media because it can score the effect of products from reviews of various media including blogs.

• Information Systems Review
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• 제11권2호
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• pp.209-231
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• 2009

In recent, a general trend is observed towards more customized products and shorter product life cycles in manufacturing enterprises. In these enterprises, customers often wish to influence the product they order and to get a variant of product that meets their requirements. This is called as customer-oriented make-to-order manufacturing environment. This paper establishes a methodology of implementing information system for developing product data integration system (PDIS) which is suitable for customer-oriented make-to-order manufacturing enterprise, and also presents the case of implementing PDIS for a ship engine product in 'H' heavy industry using the established methodology. At present, the implemented PDIS is successfully operating. As a result, PDIS reduces delivery time and improves customer relationships. Moreover, the case shows that PDIS can be used as a tool for improving inter-department coordination within a company during product life cycle.

• Journal of Korea Society of Industrial Information Systems
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• 제27권1호
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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.