• Journal of Digital Policy
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• v.2 no.2
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• pp.7-14
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• 2023

The purpose of this study is to emphasize the need for brand equity management to survive in a rapidly changing medical environment by identifying the impact of digital customer experience on brand equity and analyzing the influence of hospital brand equity on word-of-mouth (WOM) intention. The main findings are as follows. As a result of analyzing the effect of digital customer experience on brand equity, the relationship between aesthetic value and brand equity, functional value and brand equity, customer service value and brand equity all showed significant results. In addition, the relationship between brand equity and WOM intention also showed significant results. These findings have practical implications for revealing the importance of the digital service environment in building hospital brand equity, in strengthening relationships with customers and WOM activities, and suggesting the provision of customer services and benefits using digital technology.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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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.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.369-382
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• 2004

This study is to analyze the relationships between critical success factors of customer relationship management and performance of customer relationship management. To accomplish this purpose, this study performed an empirical analysis of 206 domestic companies which have introduced customer relationship management applications. The result of the study shows that most organizational factors except evaluation and compensation factor have a positively significant effect on the performance of customer relationship management, and that ease of system use and level of system integration influence on the performance of customer relationship management positively.

• Journal of Industrial Technology
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• v.37 no.1
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• pp.5-11
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• 2017

The purpose of this research is to propose an efficient loop line operation plan for customer transportation in a new theme park. Based on the expected customer arrivals, customer loading/unloading methods, and scheduled/non-scheduled departure schemes, movement time between stations etc., we have performed indepth analyses and derived the best optimal policy. Our results show that, over all, the operation with separate loading/unloading doors and scheduled departure is preferred to the other options. We then derived the optimal number of trains and cars meeting minimal customer unsatisfaction with low cost for each season.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.139-146
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• 2012

The emotional factor has not been focused in e-learning studies. But the emotions of student are very important in e-learning because it is a self-regulated learning. This study is focused on the emotional factor in e-learning. This study examines the effect of perceived customer orientation to emotional presence, commitment and customer satisfaction in e-learning. The results of this study showed that the perceived customer orientation effect to the commitment about the learning and the customer satisfaction in e-learning.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.497-510
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• 2018

This study aims to establish effects of service quality of the indoor golf practice facility on customer satisfaction, customer loyalty and intention to repurchase. Consumers using indoor golf practice facility were selected as the target population of this study, and 238 individuals were extracted by convenience sampling and administered a survey. The results are as follows. First, facility, process, instructor positively influence customer satisfaction. Second, facility, instructor positively influence customer loyalty. Third, facility, process, instructor positively influence intention to repurchase. Fourth, customer satisfaction positively influence intention to repurchase. Fifth, customer loyalty positively influence intention to repurchase. Sixth, customer satisfaction mediated service quality of indoor golf practice facility and intention to repurchase. Finally, customer loyalty partly mediated service quality of indoor golf practice facility and intention to repurchase.

• Transportation Technology and Policy
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• v.7 no.4
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• pp.57-65
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• 2010

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.4
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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.

• Journal of Distribution Science
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• v.20 no.10
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• pp.93-103
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• 2022

Purpose: This study aims to determine the relationship between disruptive factors and customer satisfaction at chain stores. Survey-based questionnaires were designed in the distribution technique to measure the findings in this study. Research design, data, and methodology: In terms of the sampling technique, the researchers adopted the simple random sampling technique with a total of 200 sample sizes. For the statistical method, the researchers applied multiple linear regression analysis to determine the potential factors that affect customer satisfaction at chain stores. The analysis of this study measured how product quality, pricing policies of chain stores, design and layout, responsiveness, and location of chain stores impart their roles in customer satisfaction. Results: This study found a significant relationship between the product quality and location of chain stores on customer satisfaction. In addition, the responsiveness, pricing policy, and physical design of chain stores impart an insignificant role in customer satisfaction. However, it is proven that the location of chain stores and product quality positively impact customer satisfaction. Conclusions: The study is geographically limited to the region of Karachi, Pakistan. Therefore, the findings may differ in the context of study implications in the other areas.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.1-12
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• 2016

In this paper, we consider a general discrete-time queueing system with D-BMAP(discrete-time batch Markovian arrival process) and D-policy. An idle single server becomes busy when the total service times of waiting customer group exceeds the predetermined workload threshold D. Once the server starts busy period, the server provides service until there is no customer in the system. The steady-state workload distribution is derived in the form of generating function. Mean workload is derived as a performance measure. Simulation is also performed for the purpose of verification and a simple numerical example is shown.