• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.332-337
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• 2023

The purpose of the study was to analyze consumers' perceptions of gamification. Based on the analyzed data, we would like to provide data by systematically organizing the concept, game elements, and mechanisms of gamification. Recently, gamification can be easily found around medical care, corporate marketing, and education. This study collected keywords from social media portal sites Naver, Daum, and Google from 2018 to 2023 using TEXTOM, a social media analysis tool. In this study, data were analyzed using text mining, semantic network analysis, and CONCOR analysis methods. Based on the collected data, we looked at the relevance and clusters related to gamification. The clusters were divided into a total of four clusters: 'Awareness of Gamification', 'Gamification Program', 'Future Technology of Gamification', and 'Use of Gamification'. Through social media analysis, we want to investigate and identify consumers' perceptions of gamification use, and check market and consumer perceptions to make up for the shortcomings. Through this, we intend to develop a plan to utilize gamification.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.1022-1034
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• 2023

Various aspects of artificial intelligence (AI) have become of significant interest to academia and industry in recent times. To satisfy these academic and industrial interests, it is necessary to comprehensively investigate trends in AI-related changes of diverse areas. In this study, we identified and predicted emerging convergences with the help of AI-associated research abstracts collected from the SCOPUS database. The bidirectional encoder representations obtained via the transformers-based topic discovery technique were subsequently deployed to identify emerging topics related to AI. The topics discovered concern edge computing, biomedical algorithms, predictive defect maintenance, medical applications, fake news detection with block chain, explainable AI and COVID-19 applications. Their convergences were further analyzed based on the shortest path between topics to predict emerging convergences. Our findings indicated emerging AI convergences towards healthcare, manufacturing, legal applications, and marketing. These findings are expected to have policy implications for facilitating the convergences in diverse industries. Potentially, this study could contribute to the exploitation and adoption of AI-enabled convergences from a practical perspective.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.456-463
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• 2023

We conducted this study to identify the components of H&B store app service quality and their effect on customer satisfaction. The survey was conducted through an online survey for teenagers or older with experience in using H&B store app. A total of 330 copies were distributed and a total of 282 copies were used for the final analysis. The results of this study are summarized as follows: First, eight factors such as ease of use & design, fulfillment, playfulness, responsiveness, personalization, security, contextual usefulness, interactivity were derived as service quality components of H&B store app. Second, as a result of regression analysis, the six service quality components, such as 'ease of use & design', 'fulfillment', 'playfulness', 'responsiveness', 'security', and 'interactivity' were found to have a significant positive (+) effect on customer satisfaction (p<0.05) and 'playfulness (β=.372)' had the greatest effect on customer satisfaction. Based on the results of this study, we should strive to establish effective marketing strategies in the H&B industry.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.15-24
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• 2024

This study is about the effect of chatbot service quality on customer satisfaction and continuous use intention. Data collection was conducted for 13 days from October 23 to November 5, 2023, and a survey was conducted on customers who have used chatbot services. A total of 572 questionnaires were targeted, of which 545 valid data were used for analysis, excluding those that responded insincerely or did not meet the purpose of the study. The analysis results of this study are as follows: First, chatbot service quality partially had a significant effect on satisfaction. Second, customer satisfaction had a significant effect on continuous use intention. Therefore, in order to have a positive impact on continuous use intention, it is necessary to focus on marketing strategies related to chatbot service quality. Also, research focusing on data analysis and performance evaluation is crucial for enhancing chatbot services, necessitating studies that address real-time changes. Through sophisticated data analysis and variable measurement, chatbot services can be effectively improved, leading to enhanced customer satisfaction.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.157-163
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• 2015

This study seeks to investigate the effect of a musical's reputation and online discounts on the consumer's willingness to re-watch a musical in the convergence industry. of service management As a resut, First, this study verified the moderating effect of on-line price discount. Second, on-line price discount was found to have an impact on reputation of a musical and consumer satisfaction. Third, consumer satisfaction was found to have a positive impact on word-of-mouth intention. Accordingly, it would also be imperative to provide information via on-line communities on a consistent basis so that viewers could create viral marketing. Also, those customers having received differentiated benefits would have a higher degree of satisfaction. Eventually, these customers will create positive viral marketing effect.

• Quality Improvement in Health Care
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• v.12 no.1
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• pp.78-90
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• 2006

Background : The concept of 'service' in a hospital is based on the quality of medical staffs who serve as customer-satisfying media, and this is what distinguishes general hospitals from other business corporations in which customer satisfaction is achieved through commercial products. Thus, the internal employee satisfaction is essential in the improvement of the 'service' and subsequent 'competitiveness' of a hospital. The purpose of this study is to establish internal marketing strategies for a general hospital through regular surveys on employee satisfaction. Method : Surveys on employee satisfaction in radiology department were conducted regularly twice a year in a university hospital with 800 beds 2001 in 2004. The subjects of this study were 35 employees who work in radiology department. The authors developed the questionnaires and the surveys were conducted initially during the first 6 months of the year. After necessary improvements were made by applying 6 Sigma techniques, subsequent surveys were conducted during the latter 6 months of the year and the degree of employee satisfaction was compared. Results : Overall satisfaction increased with a constant rate and the authors were able to assess that the hospital is being gradually stabilized. The degree of satisfaction assessed by multiple choices showed only minor changes. However, as a result of focusing on the demands put forth by the employees through the open questions, the degree of satisfaction increased gradually year after year. Conclusions : It is important to heighten the internal employee satisfaction systematically and harmoniously through the assessment on the demands of the internal customers and feedback-based communications between the management officers and the staffs. Continuous surveys on the internal employee satisfaction will serve to be valuable materials in the establishment of internal marketing strategies for a general hospital.

• Journal of Distribution Science
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• v.10 no.3
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• pp.7-13
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• 2012

Recently, with the success of Groupon in the USA using the new business model referred to as social commerce, which is a commercial transaction involving group purchases on social network service (SNS), social commerce business receives much attention. Social commerce is capable of effectively promoting additional purchasing by customers through unprecedented price discounts and limiting the number of purchasers and time allotted for purchases, and is able to achieve promotional effects over and above those of simple product promotion due to customers' voluntary word of mouth. Although social commerce is effective for short-term increase in the sales of products, there are numerous dissenting opinions on whether it can promote repurchasing by customers. In particular, social commerce in Korea focuses only on unprecedented discounted prices and does not have the marketing effect that SNS can produce over and above the sales promotion. The objective of this study is to find the factors that influence the repurchase intention on social commerce and to analyze factors that contribute the social commerce product. For this, this study extracts repurchase intention factors and computes a repurchase probability to assess the influence of factors other than price discount on social commerce customers at the time of repurchasing. In addition, the importance of factors toward sales revenue for each of the social commerce products (e.g., restaurant/café, beauty, tour/leisure, show/exhibition, and fashion/clothes) is estimated by using the computed repurchase probabilities. The repurchase probability through the analysis can be used for development of social commerce business in Korea.

• Korea Journal of Hospital Management
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• v.20 no.3
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• pp.13-23
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• 2015

This research is intended to inquire any discrepancy depending on the variables such as types, geography and size of hospitals of Korea in order to develop differentiated marketing strategy and to investigate how the aforementioned variables affect the management performance such as the increase in the number of foreign patients, their willingness to re-visit, the increase in profit and etc. The survey for this research was conducted for five weeks from July 10th 2014 to August 30th 2014 with 251 participants in charge of foreign patient attraction for 161 domestic hospitals. As the method of the research, a hypothesis was first established based on previous studies, followed by the incorporation of self-administered questionnaire to confirm the formulated hypothesis. Frequency analysis and ANOVA analysis were used to analyze the result of the survey. The outcome of the research and the implications are as follows. First, according to the demography of the persons-in-charge of foreign patient attraction, the proportion of female was superbly high by 76.5%. As for the age, those in their 30s were highest in proportion. Finally, for the education level, college graduates took up the largest portion by 46.5%. Second, in respect to the hypothesis assuming the difference in performance depending on the types of hospitals, national university-affiliated hospitals showed the highest level of the increase in foreign patients by the average of 3.25. Third, in respect to the hypothesis assuming the difference in performance based on geographical position, it was confirmed that hospitals in Ulsan City experienced the largest growth in the number in foreign patients. Fourth, in respect to the sizes of hospitals, those with 201 to 300 sickbeds showed the highest increase by the average of 3.45. The implication of the above research outcome indicates that while the number of foreign patients visiting Korea for medical purposes is on the rise, the number of professionals in place with necessary knowledge and capacity is insufficient and requires improvement.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.171-179
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• 2016

An online community serves as a communication hub among members who desire to share their opinions and emotions. Thus, it is often utilized as a corporate or brand marketing tool. While focusing on commercial online communities from the marketing perspective, however, researchers have barely discussed non-commercial online communities despite its popularity. This study examined the influence of flow on satisfaction in the context of the non-commercial online community as well as the role of social capital as a significant mediator between flow and satisfaction. The result also included the differences between employed mothers and non-employed mothers. This study has expanded the research scope of online communities and offered theoretical and practical implications based on the interdisciplinary discussion that involves one of the understudied populations, mothers.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.175-180
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• 2020

Through case studies for insurance service marketing using artificial intelligence(AI) in the insurtech industry, it investigated how innovative technologies(artificial intelligence, machine learning etc.) are being used in the insurance ecosystems. In particular, through domestic and international case studies, it was examined by Lemonade's service of insurance contracts and getting the indemnity and AI company's service of calculating the compensation through a medical certificate image based on OCR, which brought disruptive innovations using artificial intelligence. As a result of the case analysis, these services have drastically shortened the lead time of insurance contracts and payment through machine learning using numerous customer data based on artificial intelligence. And accurate and reasonable compensation was calculated in the estimation of indemnity, which has a lot of disputes between customers and insurance companies. It was able to increase customer satisfaction and customer value.