• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.99-108
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• 2020

This study examines the relationship between service provider's authenticity, customer voice, and customer behavior in failure situation. This study employed questionnaire survey and collected 216 data. The structural equation modeling (SEM) method is used to test the hypotheses of the study. As a result, the service provider's authenticity has a significant positive effect on the constructive voice of the customer and a negative effect on the destructive voice in the failure situation. In addition, constructive voice had a significant positive effect on relationship retention intentions and destructive voice had no significant effect on relationship retention intentions. This study suggests the importance of customer voice as well as the factors to increase customer positive voice in the failure situation and provides an opportunity to be interested in customer voice.

• Journal of Service Research and Studies
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• v.8 no.2
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• pp.1-24
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• 2018

This study investigates the effects of casino servicescape and customer interaction on the emotions and loyalty of Chinese and Japanese customers. Data on casino servicescape, customer interaction, pleasure, arousal, and dominance (PAD) emotions, and loyalty were obtained from 275 Chinese and Japanese gamblers in Korea's foreigner-only casinos, and structural model analysis using AMOS 21.0 was conducted to verify the model. This study empirically confirmed the similarities and differences in PAD emotions between Chinese and Japanese customers on casino servicescape and on their interactions at casinos. By doing so, this study theoretically attempts to extend the existing research framework, and demonstrates the need for casinos to consider the role of culture/nationality in the context of international marketing when targeting international consumers.

• Korea Trade Review
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• v.48 no.4
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• pp.233-262
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• 2023

Recently, as customer demand for cold chain products increases, cold chain companies are constantly required to improve logistics service quality and seek new competitive advantages in order to improve customer satisfaction. This study aims to indentify the factors that impact customer satisfaction in cold chain logistics and to analyze the relationship between the factors. A research model was established through the investigation of the previous studies. A survey was conducted targeting customers with cold chain logistics service experience, and the hypotheses were tested through structural equation modeling using AMOS 26.0. As a result, cold chain capability, including resource, logistics infrastructure, and partnership, has a significant impact on logistics service quality. The improvement of logistics service quality has a significant impact on customer satisfaction. Resource and logistics infrastructure, excluding partnership, had a significant impact on customer satisfaction. Consequently, cold chain companies need to secure various types of resources, technology levels, and infrastructure to improve logistics service quality, which can meet customer expectations and needs.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.493-498
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• 2024

With the rapid advancement of generative artificial intelligence technology, there is growing interest in how to utilize it in practical applications. Additionally, the importance of prompt engineering to generate results that meet user demands is being newly highlighted. Exploring the new possibilities of generative AI can hold significant value. This study aims to utilize ChatGPT 4.0, a leading generative AI, to propose an effective method for evaluating user experience through the analysis of online customer review data. The user experience evaluation method was based on the six-layer elements of user experience: 'functionality', 'reliability', 'usability', 'convenience', 'emotion', and 'significance'. For this study, a literature review was conducted to enhance the understanding of prompt engineering and to grasp the clear concept of the user experience hierarchy. Based on this, prompts were crafted, and experiments for the user experience evaluation method were carried out using the analysis of collected online customer review data. In this study, we reveal that when provided with accurate definitions and descriptions of the classification processes for user experience factors, ChatGPT demonstrated excellent performance in evaluating user experience. However, it was also found that due to time constraints, there were limitations in analyzing large volumes of data. By introducing and proposing a method to utilize ChatGPT 4.0 for user experience evaluation, we expect to contribute to the advancement of the UX field.

• Information Systems Review
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• v.25 no.2
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• pp.181-203
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• 2023

With the fierce competition of companies for the attraction of outstanding individuals, job satisfaction of employees has been of importance. In this circumstance, many companies try to invest in job satisfaction improvement by finding employees' everyday experiences and difficulties. However, due to a lack of understanding of the employee experience, their investments are not paying off. This study examined the relationship between employee experience and job satisfaction using employee reviews and company ratings from Glassdoor, one of the largest employee communities worldwide. We use text mining techniques such as K-means clustering and LDA topic-based sentiment analysis to extract key experience factors by job level, and DistilBERT sentiment analysis to measure the sentiment score of each employee experience factor. The drawn employee experience factors and each sentiment score were analyzed quantitatively, and thereby relations between each employee experience factor and job satisfaction were analyzed. As a result, this study found that there is a significant difference between the workplace experiences of managers and general employees. In addition, employee experiences that affect job satisfaction also differed between positions, such as customer relationship and autonomy, which did not affect the satisfaction of managers. This study used text mining and quantitative modeling method based on theory of work adjustment so as to find and verify main factors of employee experience, and thus expanded research literature. In addition, the results of this study are applicable to the personnel management strategy for improving employees' job satisfaction, and are expected to improve corporate productivity ultimately.

• Journal of the Korean Society for Railway
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• v.19 no.3
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• pp.351-362
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• 2016

The purpose of this study is to investigate service factors and relationships affecting customer satisfaction by measuring indexes of the entire set of high-speed railway station facilities and train services. In this study, we collected data from 202 KTX passengers and analyzed the data using the structural equation model (SEM) method. Through exploratory factor analysis (EFA), we found five major service factors, including parking related service (PRS), station convenient facilities related service (SCS), ticketing services (TIS), service within the train (SWT), and inner environments (INE). As result of a hypothesis test, it was found that PRS does not influence SWT, whereas SCS and TIS positively affect train related service. Also, SWT and INE significantly affect the overall service satisfaction of customers. Thus, our findings provide that station facilities and train service experience are important factors that can enhance customer satisfaction.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.403-413
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• 2015

Social media has recently become one of the primary tools for viral marketing as an effective advertising channel, in order to maximize effects of world-of-mouth through social media, it is very important to obtain customer experience-centric differentiated contents in offline. However, viral marketing is still being implemented mainly based on online channels because of the lack of effective services and methods to support social medial marketing in conjunction with offline. On that account, this study proposes O2O(Online to Offline) based social media marketing method allowing customers to connect their personal experience conveniently and easily in offline in which they voluntarily participate. Furthermore, this study aims to verify the effectiveness of the proposed method by analyzing the empirical cases thereof. This study would eventually contribute to the vitalization of social media marketing market by enabling customers to obtain personalized posts as connecting online to offline organically and also by allowing corporations to get an ample amount of useful CRM information for planning marketing strategies.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.113-125
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• 2019

Mobile social commerce is one of the fastest growing distribution channels in recent years. Therefore, it is important to understand customer's buying behavior in mobile social commerce in order to continuously grow in the competitive mobile social commerce market. To achieve the purpose of this study is to investigate how impulsive buying behaviors are applied in mobile shopping and how factors affect impulse purchasing in online shopping. In order to verify the hypothesis, we surveyed the customers who have experiences of using mobile social commerce and analyzed 280 valid data by Smart PLS 3.0. As a result, it was confirmed that consumers' innovation and purchasing experience influenced impulse purchase in mobile social commerce, and scarcity messages among information attributes affect impulse buying. Through this study, impulsive buying behavior which is a frequently analyzed variable in an online shopping context will be extended to the mobile shopping context. and it will provide practical implications for customer strategy establishment in mobile social commerce market.

• Industry Promotion Research
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• v.6 no.1
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• pp.9-13
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• 2021

In order to suggest the factors to be managed for customer satisfaction management in the franchise hair salon industry, a survey was conducted on the customers' experiences toward consumers who have experience using domestic franchise hair shop service in Korea. An online survey was conducted for 1,000 consumers who had used the top five franchise hair salon services within 6 months of the survey. According to the result of research on service quality(SERVQUAL)'s 5 factors- tangibleness, responsiveness, assurance, reliability, and empathy, assurance has the greatest impact on satisfaction, followed by responsiveness, empathy, reliability, and tangibleness. The service quality satisfaction of the five companies surveyed was 3.77 out of 5, indicating that there is much room for future satisfaction. This study aims to provide information on which factors should be invested more with limited resources to improve customer satisfaction.

• Proceedings of the Korean DIstribution Association Conference
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• 2006.08a
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• pp.21-46
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• 2006

본 연구에서는 인터넷 쇼핑몰에서 불만족을 경험한 고객들의 불평요인 및 불평행동유형을 파악하고, 쇼핑몰 업체의 불평처리방법에 대한 평가를 바탕으로 효과적인 불평처리방안을 제시하였다. 연구 결과 불평행동을 하는 고객의 유형은 직접행동파, 사적행동파, 소극행동파, 적극행동파 등으로 구분되었다. 이 가운데 사적행동파가 가장 높게 나타나 인터넷 환경에서는 사적행동파에 대한 효과적인 불평처리 방안에 관한 노력이 가장 필요한 것으로 확인되었다. 직접행동파는 해당 쇼핑몰 업체에게 직접 문제해결을 요구하기 때문에 불평처리에 대한 공정성, 불평 후 만족과 충성도 측면에서 가장 효과적인 것으로 확인되었다. 그리고 고객의 모든 불평행동유형에서 가장 심각한 불만족 요인으로는 배송오류 및 지연과 제품결함인 것으로 확인되었지만, 사적행동파와 소극행동파는 부정확한 정보제공과 과장광고 등을 심각하게 생각하고 있었다. 인터넷 쇼핑몰 업체는 불평고객들의 불평해결을 위해 직접적인 접촉을 할 경우 가장 효과적인 불평처리를 할 수 있기 때문에 사적행동파와 소극행동파의 불평행동을 유발하기 위한 노력이 필요하다. 또한 쇼핑몰 관리자의 불친절 및 반응은 심각한 불만족 요인은 아니지만, 배송오류 및 지연과 제품결함과 같은 심각한 불만족요인에 대해서는 직접적인 사과 및 쇼핑몰 관리자의 친절한 태도를 포함하여 현금 환불 등 불평처리를 해야 한다. 그리고 고객의 관점에서 인터넷 쇼핑몰을 보다 편리하고 유용하게 설계할 필요가 있다.