• Asia Marketing Journal
• /
• v.14 no.3
• /
• pp.185-197
• /
• 2012

Caffe Bene, one of the most notable coffeehouse chain brands in Republic of Korea, gives us some thought-provoking issues in terms of sustainable success. Despite harsh competition among various coffeehouse brands, Caffe Bene has been accomplished astonishing outcomes in domestic market and now ranked 2^nd place in sales among the global coffeehouse franchise in 2010 and 2011. These achievements were possible mainly because Caffe Bene adopted distinctive shop design, maintained aggressive marketing strategy, developed new menu, and combined the unique Korean culture with ordinary concept of café to make its place attractive. However, since Korean coffeehouse market is getting saturated and consumers are becoming savvy about coffee, Caffe Bene needs to find a new solution to overcome growth stagnation. Besides, many experts pointed out that irrational increase in the number of stores might hurt its business in the aspect of managing distribution channel and providing consistent services. Also, customers of Caffe Bene have shown that it has to complement its critical weaknesses: inferior coffee taste and relatively high price for a cup of coffee. Especially, some people view that the company is shifting its high rental fee, interior cost and PPL marketing cost to consumers by charging high price for coffee. To get over the problems, Caffe Bene is currently using C/S Consumer Management System though experts are questioning about the efficacy because of the conflict between purpose of the system and the headquarters' plan. Present CEO Kim also announced that the company will complete its logistics system in the latter half of 2012 to provide stores with more high quality coffee beans to improve taste of coffee. Thus, in this case, we describe how Caffe Bene succeeded in Korean market and enumerate its key success factors. Also, we specify the long-term goals of Caffe Bene and introduce the current policies and strategies to show how the company is working on to achieve its ultimate goal. By reading and analyzing this business case, students could get useful insights regarding franchise management and think about issues on competing in a saturated market. Also, it would be worthwhile to generate creative solutions for the problems that Caffe Bene is now facing to broaden the practical perspective.

• International conference on construction engineering and project management
• /
• 2020.12a
• /
• pp.463-481
• /
• 2020

Cutter suction dredgers (CSDs) are widely used in various dredging constructions such as channel excavation, wharf construction, and reef construction. During a CSD construction, the main operation is to control the swing speed of cutter to keep the slurry concentration in a proper range. However, the slurry concentration cannot be monitored in real-time, i.e., there is a "time-lag effect" in the log of slurry concentration, making it difficult for operators to make the optimal decision on controlling. Concerning this issue, a solution scheme that using real-time monitored indicators to predict current slurry concentration is proposed in this research. The characteristics of the CSD monitoring data are first studied, and a set of preprocessing methods are presented. Then we put forward the concept of "index class" to select the important indices. Finally, an ensemble learning algorithm is set up to fit the relationship between the slurry concentration and the indices of the index classes. In the experiment, log data over seven days of a practical dredging construction is collected. For comparison, the Deep Neural Network (DNN), Long Short Time Memory (LSTM), Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and the Bayesian Ridge algorithm are tried. The results show that our method has the best performance with an R² of 0.886 and a mean square error (MSE) of 5.538. This research provides an effective way for real-time predicting the slurry concentration of CSDs and can help to improve the stationarity and production efficiency of dredging construction.

• Korea Journal of Hospital Management
• /
• v.28 no.3
• /
• pp.1-14
• /
• 2023

Purposes: It is very important to establish a clinical data warehouse based on a common data model to offset the different data characteristics of each medical institution and for drug surveillance. This study attempted to establish a clinical data warehouse for Dankook university hospital for drug surveillance, and to derive the main items necessary for development. Methodology/Approach: This study extracted the electronic medical record data of Dankook university hospital tracked for 9 years from 2013 (2013.01.01. to 2021.12.31) to build a clinical data warehouse. The extracted data was converted into the Observational Medical Outcomes Partnership Common Data Model (Version 5.4). Data term mapping was performed using the electronic medical record data of Dankook university hospital and the standard term mapping guide. To verify the clinical data warehouse, the use of angiotensin receptor blockers and the incidence of liver toxicity were analyzed, and the results were compared with the analysis of hospital raw data. Findings: This study used a total of 670,933 data from electronic medical records for the Dankook university clinical data warehouse. Excluding the number of overlapping cases among the total number of cases, the target data was mapped into standard terms. Diagnosis (100% of total cases), drug (92.1%), and measurement (94.5%) were standardized. For treatment and surgery, the insurance EDI (electronic data interchange) code was used as it is. Extraction, conversion and loading were completed. R language-based conversion and loading software for the process was developed, and clinical data warehouse construction was completed through data verification. Practical Implications: In this study, a clinical data warehouse for Dankook university hospitals based on a common data model supporting drug surveillance research was established and verified. The results of this study provide guidelines for institutions that want to build a clinical data warehouse in the future by deriving key points necessary for building a clinical data warehouse.

• Korea Journal of Hospital Management
• /
• v.28 no.3
• /
• pp.47-57
• /
• 2023

Purpose: Health expenditure and utilization of Korean medicine are increasing every year. Since Chuna Manual Therapy was covered by National Health Insurance in 2019, it is predicted that the usage of Chuna Manual Therapy would be also increasing. However, there are few studies about Chuna Manual Therapy using Korean National Health Insurance claims database. Therefore, we will investigate the utilization trend of outpatient's Chuna Manual Therapy using Korean National Health Insurance database and suggest political implications. Methodology: The Korean National Health Insurance claims database was used to identify outpatient's Chuna Manual Therapy usage spanning 4 years from 2019-2023 and the number of Chuna Manual Therapy claims were approximately 18.61 million. Findings: The number of Chuna Manual Therapy claims and patients, health expenditure of Chuna Manual Therapy have been increasing spanning 4 years among over 65 aged. In the case of female patients, the number of Chuna Manual Therapy claims was more than male patients and health spending related to Chuna Manual Therapy was also higher than male patients. Most patients visited Korean medicine clinics due to musculoskeletal diseases, and most claims were from rural regions. Practical Implication: Since Chuna Manual Therapy was covered by National Health Insurance in 2019, Utilization of Chuna Manual Therapy has been increased overall. In particular, Chuna Manual Therapy is mostly implemented in the elderly, Korean medicine clinics, and local areas, thus policy managers will need to consider this.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.3
• /
• pp.186-197
• /
• 2023

In this study, we focus on the improvement of data quality transmitted from a weather buoy that guides a route of ships. The buoy has an Internet-of-Thing (IoT) including sensors to collect meteorological data and the buoy's status, and it also has a wireless communication device to send them to the central database in a ground control center and ships nearby. The time interval of data collected by the sensor is irregular, and fault data is often detected. Therefore, this study provides a framework to improve data quality using machine learning models. The normal data pattern is trained by machine learning models, and the trained models detect the fault data from the collected data set of the sensor and adjust them. For determining fault data, interquartile range (IQR) removes the value outside the outlier, and an NGBoost algorithm removes the data above the upper bound and below the lower bound. The removed data is interpolated using NGBoost or long-short term memory (LSTM) algorithm. The performance of the suggested process is evaluated by actual weather buoy data from Korea to improve the quality of 'AIR_TEMPERATURE' data by using other data from the same buoy. The performance of our proposed framework has been validated through computational experiments based on real-world data, confirming its suitability for practical applications in real-world scenarios.

• Korea Journal of Hospital Management
• /
• v.28 no.3
• /
• pp.68-86
• /
• 2023

Purpose: The purpose of this study is to explore the relationship between corporate entrepreneurship and organizational effectiveness among employees of medical institutions. In addition, we aim to investigate the mediating effect of motivation to participate in the In-house Innovation & Start-up Contest and the moderating effect of support from a dedicated organization. Methodology/Approach: A survey was conducted on participants in the 3rd in-house contest held in 2023 at Granum Sinapis Center of Seoul St. Mary's Hospital. A total of 122 people responded to the survey. The collected data were analyzed PLS-SEM(Partial Least Squares-Structural Equation Model) using SmartPLS 4.0 program. Findings: First, 'Corporate entrepreneurship' had an effect on 'Participation motivation in in-house contest'. Second, 'Corporate entrepreneurship' had an effect on 'Organizational Effectiveness'. Third, 'Participation motivation in in-house contest' mediated the relationship between 'Corporate entrepreneurship' and 'Organizational Effectiveness'. And last, 'Support from a dedicated organization' had no moderating effect on the relationship between 'Corporate entrepreneurship' and 'Organizational Effectiveness'. Practical Implications: Since the dedicated organization is in the early stages of operation, there may be no moderating effect on organizational effectiveness. If follow-up research is conducted after the dedicated organization's system has been supplemented, the moderating effect may appear differently.

• Korean Journal of Culture and Social Issue
• /
• v.14 no.1_spc
• /
• pp.135-152
• /
• 2008

The purpose of this study is to research psychological and social devices to foster self-regulated learning of Korean adolescents. This study investigated metacognitive, motivational, and behavioral factors of self-regulated learning through current research. In terms of metacognitive factors, we reviewed the importance of cognitive and metacognitive learning strategies of adolescents for better self-regulated learning. Especially we gave a great emphasis on the role of comprehension monitoring metacognitive strategy for the learning to read in this review. For motivational factors, recent research of self-regulated learning has tended to focus on self-efficacy and goal orientation. The current research examining behavioral factors of self-regulated learning has tended to focus on time management and academic procrastination. Research findings in the motivational aspect suggest that we need to develop the program to improve adolescents' self-efficacy and recognize new re-conceptualization of the goal theory. Research findings in the behavioral aspect recommend practical tips and strategies to improve time management skills and to overcome academic procrastination. Finally, future directions for research are discussed.

• Journal of Internet Computing and Services
• /
• v.24 no.6
• /
• pp.49-55
• /
• 2023

In this study, models for predicting the popularity of mukbang content on YouTube were proposed, and factors influencing the popularity of mukbang content were identified through post-analysis. To accomplish this, information on 22,223 pieces of content was collected from top mukbang channels in terms of subscribers using APIs and Pretty Scale. Machine learning algorithms such as Random Forest, XGBoost, and LGBM were used to build models for predicting views and likes. The results of SHAP analysis showed that subscriber count had the most significant impact on view prediction models, while the attractiveness of a creator emerged as the most important variable in the likes prediction model. This confirmed that the precursor factors for content views and likes reactions differ. This study holds academic significance in analyzing a large amount of online content and conducting empirical analysis. It also has practical significance as it informs mukbang creators about viewer content consumption trends and provides guidance for producing high-quality, marketable content.

• Korea Trade Review
• /
• v.45 no.6
• /
• pp.157-179
• /
• 2020

This study presented the results of meta-analysis through topic modeling among the papers published in the Journal of the International Trade Association for the purpose of presenting academic research trends in the field of trade insurance and future research directions. Among the total 2,010 papers included in the Journal of the Korea International Trade Association, the analyzed paper covers the subject of trade-related insurance. According to detailed topics, 33 marine insurance (42.31%), 16 export insurance (20.51%), 11 hull insurance (14.10%), and 18 others (23.08%), and 4 other products liability insurance. According to the empirical analysis results, Topic 1 was classified as marine insurance, airworthiness, notice obligation, and collateral, and Topic 2 was derived as a representative topic for loading insurance, emergency risk, and immunity as export insurance. And Topic 3 was classified as vessel, sinking and container in relation to ship insurance, and Topic 4 was analyzed as an important topic such as manufacture and British marine insurance. Through the analysis results, we selected the representative topic used for the trade insurance topic and looked at the status of major research. Trade insurance is an area that requires the development of more theoretical and practical research subjects as an optimal risk management means in international trade transactions. To this end, first, support from the Korea International Trade Association is needed to establish a continuous research subject sharing system for the development of research subjects in the field of trade insurance. Second, academic journal operation management must be continuously managed in which academic research papers can be submitted and published.

• Asia-Pacific Journal of Business
• /
• v.14 no.2
• /
• pp.85-100
• /
• 2023

Purpose - The purpose of this study is to identify the factors of shocking events in the career aspect experienced by Korean workers in the context of the Covid-19 pandemic, and to find out whether these career shocks affect individual perceptions of the importance of subjective career success. Design/methodology/approach - In the survey of 146 respondents, the career shock events experienced in the context of the Covid-19 pandemic were largely divided into three categories; 'work change', 'employment anxiety', and 'life anxiety'. For the subjective career success, seven dimensions - 'financial security', 'financial achievement', 'entrepreneurship', 'positive relationship', 'positive impact', 'learning and development', 'work-life balance' - were used. Findings - As a result, there was no difference in the perception of subjective career success due to the experience of 'work change' during the Covid-19 period. However, the respondents who experienced 'employment anxiety' came to recognize that 'financial security' and 'financial achievement' were more increasing in terms of the degree of difference of importance. And respondents who experienced 'lifetime anxiety' perceived that the degree of difference of importance was increasing in the six dimensions except for 'social influence'. Particularly, the increase in the importance of 'work-life balance' and 'positive relationship' was found to be the greatest among the career success dimensions. Research implications or Originality - Finally, it was concluded that changes in the external environment such as Covid-19 pandemic influence as a career shock and affect the level of importance in subjective career success perception. Based on the results, the theoretical implication on current career study and some practical implications for organizational career management were suggested.