• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.51-69
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• 2021

Purpose - Based on literature studies of movie reviews and movie ratings, this study raised two research questions on the contents of online word of mouth and the number of movie screens as mediator variables. Research question 1 wanted to figure out which topics of word groups had a positive or negative impact on movie ratings. Research question 2 tried to identify the role of the number of movie screens between movie ratings and box office outcomes. Design/methodology/approach - Through R program, this study collected about 82,000 movie reviews and movie ratings posted on Naver's movie website to examine the role of online word of mouths and movie screen counts in 10 movies that were considered commercially unsuccessful with fewer than 2 million viewers despite securing about 1,000 movie screens. To confirm research question 1, topic modeling, a text mining technique, was conducted on movie reviews. In addition, this study linked the movie ratings posted on Naver with information of KOBIS by date, to identify the research question 2. Findings - Through topic modeling, 5 topics were identified. Topics found in this study were largely organized into two groups, the content of the movie (topic 1, 2, 3) and the evaluation of the movie (topics 4, 5). When analyzing the relationship between movie reviews and movie ratings with 5 mediators identified in topic modeling to probe research question 1, the topic word groups related to topic 2, 3 and 5 appeared having a negative effect on the netizen's movie ratings. In addition, by connecting two secondary data by date, analysis for research question 2 was implemented. The outcomes showed that the causal relationship between movie ratings and audience numbers was mediated by the number of movie screens. Research implications or Originality - The results suggested that the information presented in text format was harder to quantify than the information provided in scores, but if content information could be digitalized through text mining techniques, it could become variable and be analyzed to identify causality with other variables. The outcomes in research question 2 showed that movie ratings had a direct impact on the number of viewers, but also had indirect effects through changes in the number of movie screens. An interesting point is that the direct effect of movie ratings on the number of viewers is found in most American films released in Korea.

• Korea Journal of Hospital Management
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• v.12 no.1
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• pp.1-30
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• 2007

The study carried out a survey with employees of hospitals located in Daejeon, Chungnam, and Chungbuk from Sep. 12 to Sep. 30, 2005 in order to derive primary elements that affect the improvement of hospital's competitiveness. The study investigated and analyzed the employees' recognition on the change of competitive environment caused by the change of medical environment. The study also analyzed the elements that affect the hospital's competitiveness and the competitive strategies of the hospitals. The conclusion of this study can be summarized as follows. 1. Summary 1) Most of the employees responded that there is a rival in the competitive environment and the competitive is intense. Especially when the employees are married, live in urban areas, have an education level of university graduate or are managers, they tend to think the competitive is very intense. Also, they said that the competitive is based upon the quality of medical service. They mentioned the element that has the biggest effect on the competitiveness is the element of medical consumer and they recognized that the medical services in university and general hospitals have more competitiveness than the one-department hospitals. 2) It was investigated that the medical technique service has the most effect on the hospital's competitiveness. Also, the external service of medical techniques also has a large effect on the hospital's competitiveness. 3) When they were asked for the factors that affect the patients' decision on selecting a hospital, most of them responded "capability and technique of the medical staffs." Also, they said that "sufficient explanation from doctors" and "special center and clinic" are the factors that have big effects on the patients' decision. 4) In the SWOT analysis, most of them responded that the strength is the hospital's characteristics and the weakness is insufficient and obsolete equipment. They said the opportunity is the demands for professional medical service and the risk is the intense competitive among the hospitals. 5) In the SWOT strategy, they emphasized the strategy that uses the opportunity and the strength and the strategy that uses the opportunity while overcoming the weakness. 6) As for the basic competition strategy, most of them thought of the strategy of professionalizing the medical service most importantly. Next, they focused on the strategy of distinct service and the strategy of lower prime cost. 2. Conclusion 1) Because service competition between hospitals is happening seriously, need competitiveness security through right awareness transfer and satisfaction upgrade about medical consumer. 2) For medical technique service upgrade that equip Hospital's competitiveness but affects most, must solidify the countermeasure because professionalizing the medical service and newest medical technique induction should be achieved first, and compose task force for the external service of medical techniques improvement. 3) To improve SWOT of hospital, opportunity and the strength strategy choice that rescue hospital's characteristics heightening professionalizing the medical service level is fancied. 4) As for the basic competition strategy, will have to try in phase triangular position of hospital which is trusted medical level upgrade and excellent manpower security and finance independence through upgrade. The study was only done with hospitals in Daejeon, Chungnam and Chungbuk. Also, it is a study from the side of suppliers of medical service so there are limitations. However, the significance of the study is to present the basic data for improvement of hospital's competitiveness by examining the importance of medical techniques and external service of medical techniques that are the main effects on the improvement of hospital's competitiveness.

• Information Systems Review
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• v.17 no.1
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• pp.141-169
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• 2015

Electronic financial accidents are constantly happening and these accidents are taking place by a combination of several causes such as technique, human, and structure. Among electronic financial accidents, personal information disclosure is most frequently happening and becomes big problems, because secondary damage like voice phishing causes great loss to society. This research model is that financial information security compliance affects the crisis response of financial institutions and financial authorities and these crisis responses affect financial information security trust. Research target is people who experienced the disclosure of their own financial information. For empirical verification, survey questionnaires were distributed and total 103 questionnaires were collected and analyzed. As results of data analysis, all hypotheses were accepted. First, financial information security compliance influenced the crisis response of financial institutions and authorities. Second, the crisis response of financial institutions and authorities affect financial information security trust. Third, at the moderating effect analysis, the importance of personal financial information moderated the effect of the crisis response of financial institutions on financial information security trust. And the disclosure level of personal financial information moderated the effect of the crisis response of financial authorities on financial information security trust.

• Korean Journal of Remote Sensing
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• v.40 no.2
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• pp.229-241
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• 2024

With the advancement of big data processing technology using cloud platforms, access, processing, and analysis of large-volume data such as satellite imagery have recently been significantly improved. In this study, the Change Detection Method, a relatively simple technique for retrieving soil moisture, was applied to the backscattering coefficient values of pre-processed Sentinel-1 synthetic aperture radar (SAR) satellite imagery product based on Google Earth Engine (GEE), one of those platforms, to estimate the surface soil moisture for six observatories within the Yongdam Dam watershed in South Korea for the period of 2015 to 2023, as well as the watershed average. Subsequently, a correlation analysis was conducted between the estimated values and actual measurements, along with an examination of the applicability of GEE. The results revealed that the surface soil moisture estimated for small areas within the soil moisture observatories of the watershed exhibited low correlations ranging from 0.1 to 0.3 for both VH and VV polarizations, likely due to the inherent measurement accuracy of the SAR satellite imagery and variations in data characteristics. However, the surface soil moisture average, which was derived by extracting the average SAR backscattering coefficient values for the entire watershed area and applying moving averages to mitigate data uncertainties and variability, exhibited significantly improved results at the level of 0.5. The results obtained from estimating soil moisture using GEE demonstrate its utility despite limitations in directly conducting desired analyses due to preprocessed SAR data. However, the efficient processing of extensive satellite imagery data allows for the estimation and evaluation of soil moisture over broad ranges, such as long-term watershed averages. This highlights the effectiveness of GEE in handling vast satellite imagery datasets to assess soil moisture. Based on this, it is anticipated that GEE can be effectively utilized to assess long-term variations of soil moisture average in major dam watersheds, in conjunction with soil moisture observation data from various locations across the country in the future.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.6
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• pp.16-24
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• 2020

The purpose of this study is to analyze the usage behavior of Seoullo 7017, the first public garden in Korea, to understand the usage status by analyzing blogs, and to present usage behavior and improvement plans for Seoullo 7017. From June 2017 to May 2020, after Seoullo 7017 was open to citizens, character data containing 'Seoullo 7017' in the title and contents of NAVER and·DAUM blogs were converted to text mining and socialization, a Big Data technique. The analysis was conducted using social network analysis. The summary of the research results is as follows. First of all, the ratio of men and women searching for Seoullo 7017 online is similar, and the regions that searched most are in the order of Seoul and Gyeonggi, and those in their 40s and 50s were the most interested. In other words, it can be seen that there is a lack of interest in regions other than Seoul and Gyeonggi and among those in their 10s, 20s, and 30s. The main behaviors of Seoullo 7017 are' night view' and 'walking', and the factors that affect culture and art are elements related to culture and art. If various programs and festivals are opened and actively promoted, the main behavior will be more varied. On the other hand, the main behavior that the users of Seoullo 7017 want is 'sit', which is a static behavior, but the physical conditions are not sufficient for the behavior to occur. Therefore, facilities that can cause sitting behavior, such as shades and benches must be improved to meet the needs of visitors. The peculiarity of the change in the behavior of Seoullo 7017 is that it is recognized as a good place to travel alone and a good place to walk alone as a public multi-use facility and group activities are restricted due to COVID-19. Accordingly, in a situation like the COVD-19 pandemic, more diverse behaviors can be derived in facilities where people can take a walk, etc., and the increase of various attractions and the satisfaction of users can be increased. Seoullo 7017, as Korea's first public pedestrian area, was created for urban regeneration and the efficient use of urban resources in areas beyond the meaning of public spaces and is a place with various values such as history, nature, welfare, culture, and tourism. However, as a result of the use behavior analysis, various behaviors did not occur in Seoullo 7017 as expected, and elements that hinder those major behaviors were derived. Based on these research results, it is necessary to understand the usage behavior of Seoullo 7017 and to establish a plan for spatial system and facility improvement, so that Seoullo 7017 can be an important place for urban residents and a driving force to revitalize the city.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.95-110
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• 2013

Recently, the amount of unstructured data being generated through a variety of social media has been increasing rapidly, resulting in the increasing need to collect, store, search for, analyze, and visualize this data. This kind of data cannot be handled appropriately by using the traditional methodologies usually used for analyzing structured data because of its vast volume and unstructured nature. In this situation, many attempts are being made to analyze unstructured data such as text files and log files through various commercial or noncommercial analytical tools. Among the various contemporary issues dealt with in the literature of unstructured text data analysis, the concepts and techniques of opinion mining have been attracting much attention from pioneer researchers and business practitioners. Opinion mining or sentiment analysis refers to a series of processes that analyze participants' opinions, sentiments, evaluations, attitudes, and emotions about selected products, services, organizations, social issues, and so on. In other words, many attempts based on various opinion mining techniques are being made to resolve complicated issues that could not have otherwise been solved by existing traditional approaches. One of the most representative attempts using the opinion mining technique may be the recent research that proposed an intelligent model for predicting the direction of the stock index. This model works mainly on the basis of opinions extracted from an overwhelming number of economic news repots. News content published on various media is obviously a traditional example of unstructured text data. Every day, a large volume of new content is created, digitalized, and subsequently distributed to us via online or offline channels. Many studies have revealed that we make better decisions on political, economic, and social issues by analyzing news and other related information. In this sense, we expect to predict the fluctuation of stock markets partly by analyzing the relationship between economic news reports and the pattern of stock prices. So far, in the literature on opinion mining, most studies including ours have utilized a sentiment dictionary to elicit sentiment polarity or sentiment value from a large number of documents. A sentiment dictionary consists of pairs of selected words and their sentiment values. Sentiment classifiers refer to the dictionary to formulate the sentiment polarity of words, sentences in a document, and the whole document. However, most traditional approaches have common limitations in that they do not consider the flexibility of sentiment polarity, that is, the sentiment polarity or sentiment value of a word is fixed and cannot be changed in a traditional sentiment dictionary. In the real world, however, the sentiment polarity of a word can vary depending on the time, situation, and purpose of the analysis. It can also be contradictory in nature. The flexibility of sentiment polarity motivated us to conduct this study. In this paper, we have stated that sentiment polarity should be assigned, not merely on the basis of the inherent meaning of a word but on the basis of its ad hoc meaning within a particular context. To implement our idea, we presented an intelligent investment decision-support model based on opinion mining that performs the scrapping and parsing of massive volumes of economic news on the web, tags sentiment words, classifies sentiment polarity of the news, and finally predicts the direction of the next day's stock index. In addition, we applied a domain-specific sentiment dictionary instead of a general purpose one to classify each piece of news as either positive or negative. For the purpose of performance evaluation, we performed intensive experiments and investigated the prediction accuracy of our model. For the experiments to predict the direction of the stock index, we gathered and analyzed 1,072 articles about stock markets published by "M" and "E" media between July 2011 and September 2011.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.333-338
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• 2012

Human resource management is bringing the various changes with the IT technology. In particular, if HRM is non-scientific method such as group management, physical plant, working hours constraints, personal contacts, etc, the current enterprise human resources management(e-HRM) appeared in the individual dimension management, virtual workspace (for example: smart work center, home work, etc.), working time flexibility and elasticity, computer-based statistical data and the scientific method of analysis and management has been a big difference in the sense. Therefore, depending on changes in the environment, companies have introduced a variety of techniques as RFID card, fingerprint time & attendance systems in order to build more efficient and strategic human resource management system. In this paper, time and attendance, access control management system was developed using multi camera for 2D and 3D face recognition technology-based for efficient enterprise human resource management. We had an issue with existing 2D-style face-recognition technology for lighting and the attitude, and got more than 90% recognition rate against the poor readability. In addition, 3D face recognition has computational complexities, so we could improve hybrid video recognition and the speed using 3D and 2D in parallel.

• Korean Journal of Community Nutrition
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• v.15 no.3
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• pp.379-392
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• 2010

The purposes of this study were to investigate recipients' handling and consumption of home-delivered meals at home and to assess their perceptions on home-delivered meal services for older adults. A total of 312 elderly people who received home-delivered foodservice were surveyed using an individual interview technique. A statistical data analysis was completed using SPSS (ver. 14.0). It was found that 90.2% (n = 166) of the lunch box recipients received services for six days per week, and 76.6% (n = 95) of the side-dish recipients got services once per week. More than half of the clients reported that they cooked meals by themselves on days when meals were not delivered. The two hundred thirty-two (75.3%) ate their meals as soon as they were delivered. It was found that 66.8% of the lunch box recipients and 7.3% of the side-dish recipients left delivered meals on the counter (at room temperatures) before eating. Only 11.4% of the lunch box recipients and 48.4% of the side-dish recipients kept delivered meals in the refrigerator before eating. Less than half of the lunch box recipients consumed all foods they were served at once. The reasons the recipients did not eat their all meals delivered at once were "saving for next meals" and "big portion size" Of those clients who left delivered meals, 19% of the lunch box recipients and 9.7% of the side-dish recipients ate leftovers without reheating. An average score of quality of delivered meal services was 3.5 out of 5 points. The results suggest that the clients of the home-delivered meal service should be provided information on proper handling and consumption practices with delivered meals at home. The findings of the study will be used to develop nutrition and food safety management guidelines for senior foodservice.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.200-214
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• 2014

Technology planning is becoming increasingly important with the rapid development and decline of technology. Technology roadmapping is a tool used to select whether the specific technique of technology planning should pursue which technology and in which time. This technology is important to secure the uncertain future since it will provide a method that is able to share the goals and strategies between organizations. Therefore, technology tree in the planning stage of the problem would be a very useful tool. In this study, both domestic and international technology tree application cases were analyzed to be able to derive a plan for ensuring that the research performed and the requirements are met for the future development and implementation of a convergence portal system. The six major systems that aim at water hazard information platform are basic information providing system, analysis information providing system, water disaster theme providing system, national disaster information system, water disaster augmented reality system and open information platform system. General standardized core technologies corresponding to the needed functions in each target system are derived through brainstorming, and classified according to the technology field to derive the technology tree.

• The Korean Nurse
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• v.31 no.5
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• pp.39-52
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• 1992

As society has changed, the demand for improved health care has increased. To keep up with this type of social need, professional nursing care is seeking to efficiently satisfy the care needs of human beings. The goal of clinical nurse is to meet nursing care needs of patients. This study was designed to survey attitudes of nursing profession of clinical nurses. The following specific 5 objectives were investigated and the attitudes of clinical nurses were determined. 1. The social position of nursing as a profession. 2. Factors influencing the development of nursing. 3. The future of nursing. 4. Their work. 5. Job satisfaction. The subjects consisted of 120 nurses who are working at 5 general hospital over 150 beds Ill CHONG NAM. The nurses were surveyed by means of a questionnaire from May 24 to Jun 15, 1992. The tool used for this study was based on earlier work by Lee, Nam Hi(1978) and Kim, Myong Hee(1984). Computer was used for Data Analysis. Frequency and Percentage were used to examine the genera] characteristics of the subjects. ANOV A and t.test were used to test the relation in characteristics of the subjects and attitudes Loward nursing prfession. The finding of this study were as follows; 1. Social position of nursing as a profession; The response with the highest agreement was "The professional nursing organization is less power. ful than the other professional organization" 3.333 points, and the response with the lowest agreement was "Nursing get a big salary" 2.225 points. 2. Factors influencing the development of nursing; the response with the highest agreement was "Hospital environment should be improved" 4.267 points, and the response with the lowest agreement was "Nurses satisfaction with salary"2.175 points. 3. The future of nursing; the response with the highest agreement was "Along the deveiopmem of science technique will be elevated educational state and graduate to needed in nursing" 3.958 points, and showed generally positive response toward the future of nursing. 4. Their work; the response with the highest agreement was "Work loading due to nursing staff insufficient" 4. 308 points, the response with the lowest agreement was "Nurses are unkind to patient" 2.508 points. 5. The subject's view regarding job satisfaction;it showed that "Interpersonal nursing staffs" 3.508 points, showed generally unsatisfactory response toward job satisfaction. 6. The relationship between the subject's attitudes toward professional nursing and general characteristics showed a significant difference statistically in regard to the field of work(P<.05). 7. The relationship between general characteristics and the subject's attitudes toward factors influencing the development of nursing showed a significant difference statistically in regard to the age and the status of position(P<.05). The subject's attitude toward the future of nursing showed a significant difference statistically in regard to the age and the period of nursing career and the field of work(P<.05, P<.005). The subject's attitude toward the job satisfaction showed a significant difference statistically in regard to the age and the period of nursing career and the status of position and the field of work(P<.005).