• Journal of Digital Convergence
• /
• v.18 no.11
• /
• pp.195-205
• /
• 2020

As the use of the Internet has become more common worldwide, digital marketing has gained a great weight as an advertising medium. Low cost and effective digital marketing tools include websites, eyes, blogs, search advertisements, online banners, mailings, YouTube, etc., which most companies around the world use one or more of them for digital marketing. I have. In this environment, global companies with more than one overseas subsidiary have become very interested in how to establish and implement digital marketing strategies. However, many studies have been conducted on the necessity of digital marketing and its implementation strategy, but there are no studies on specific implementation methods that can be applied in practice. Therefore, in this study, we intend to define digital marketing suitable for global SMEs, establish a promotion strategy model, and present a specific implementation strategy establishment planl. Through this, we intend to contribute to establishing a general-purpose SME global digital marketing strategy.

• Korean Journal of Clinical Pharmacy
• /
• v.25 no.3
• /
• pp.138-144
• /
• 2015

Objective: It is to evaluate the drug interaction monitoring program as a pilot project to develop a pharmaceutical care model in a medical intensive care unit and to analyze the influencing factors of drug interactions. Method: Electronic medical records were retrospectively investigated for 116 patients who had been hospitalized in a medical intensive care unit from October to December in 2014. The prevalence of adverse reaction with risk rating higher than 'D' was investigated by Lexi-$Comp^{(R)}$ Online database. The factors related with potential drug interaction and with treatment outcomes were analyzed. Results: The number of patients with a potential interaction of drug combination was 92 (79.3%). Average ages, the length of stay in the intensive care unit and the numbers of prescription drugs showed significant differences between drug interaction group and non-drug interaction group. Opioids (14.4%), antibiotics (7.2%), and diuretics (7.2%) were most responsible drug classes for drug interactions and the individual medications included furosemide (6.4%), tramadol (4.9%), and remifentanil (4.5%). There were 950 cases with a risk rating of 'C' (84.6%), 142 cases with a risk rating of 'D' (12.6%), and 31 cases with a risk rating of 'X' (avoid combination) (2.8%). The factors affecting drug interactions were the number of drugs prescribed (p < 0.0001) and the length of stay at intensive care unit (p < 0.01). The patients in intensive care unit showed a high incidence of adverse reactions related to potential drug interaction. Therefore, drug interaction monitoring program as a one of pharmaceutical care services was successfully piloted and it showed to prevent adverse reaction and to improve therapeutic outcomes. Conclusion: Active participation of a pharmacist in the drug management at the intensive care unit should be considered.

• Journal of the Korea Convergence Society
• /
• v.11 no.11
• /
• pp.33-39
• /
• 2020

In the field of Natural Language Processing, Various research such as Translation, POS Tagging, Q&A, and Sentiment Analysis are globally being carried out. Sentiment Analysis shows high classification performance for English single-domain datasets by pretrained sentence embedding models. In this thesis, the classification performance is compared by Korean E-commerce online dataset with various domain attributes and 6 Neural-Net models are built as BOW (Bag Of Word), LSTM[1], Attention, CNN[2], ELMo[3], and BERT(KoBERT)[4]. It has been confirmed that the performance of pretrained sentence embedding models are higher than word embedding models. In addition, practical Neural-Net model composition is proposed after comparing classification performance on dataset with 17 categories. Furthermore, the way of compressing sentence embedding model is mentioned as future work, considering inference time against model capacity on real-time service.

• The Journal of Information Systems
• /
• v.26 no.4
• /
• pp.107-135
• /
• 2017

Purpose Along with the growth of smart phones and social networking service (SNS), social commerce continues to expand. Although online reviews have become an important source of the information that consumers use to make purchasing decisions, theoretical development and empirical testing in this area are still limited. Thus, there is a need to develop further understanding about the influence of electronic word-of-mouth (eWOM). Drawing upon the heuristic - systematic model (HSM) which is one of the dual-process theories, this study develops a research model that explains key factors influencing consumers' eWOM credibility. Furthermore, this study verifies that consumer's eWOM credibility is a key determinant of eWOM and purchase intentions. Design/methodology/approach The proposed model is empirically tested with 493 users who have experience in WeChat-based social commerce. The structural equation model (SEM) analysis is used to evaluate the research model and hypotheses. Findings The major findings are as follows. First, argument quality of eWOM (a systematic factor) has a positive effect on eWOM credibility. Second, source credibility and recommendation consistency of eWOM (heuristic factors) are positively associated with eWOM credibility. Finally, purchase and eWOM intentions greatly depend on eWOM credibility. These results confirm the effectiveness of HSM in explaining eWOM mechanisms in SNS-based social commerce. The details of findings and implications are presented.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.8
• /
• pp.1717-1724
• /
• 2012

Information of social relationship of users on online is useful information for other services such as recommend information of commercial activity. So, there is a lot of studies analysis with connection to visualization of social network. Most of the previous works of visualization focus on representing user's relationship on social network by a complex multi dimension graph. However, this method is difficult to identify the important of relationship to focus on personal user intuitively. In order to resolve above problem, this paper proposes a new visualization method using the user's correlation and user relationship of network node. The proposed method visualizes the hierarchy relationship of users using the internal relation of network reflecting user's message and external relation of network nodes.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.11
• /
• pp.2588-2594
• /
• 2013

Damage is increasing by (Smishing) hacking attack Smishing you use a smart phone after entering 2013. Takeover of personal information and direct financial damage in collaboration with graphics sewing machine hacking attack has occurred. Monetary damage that leads to Internet payment service (ISP) and secure payment system in conjunction with graphics sewing machine hacking attack on a smartphone has occurred. In this paper, I will study analysis in the laboratory examples of actual infringement vinegar sewing machine hacking attack. It is a major power security measures to prevent damage to the secure payment system that a case analysis and practical principle technical nest sewing machine hacking attack, using Smishing. In this paper, I will be to research to be able to through a smart phone, to the online payment safer and more convenient.

• Fashion & Textile Research Journal
• /
• v.18 no.1
• /
• pp.48-62
• /
• 2016

Consumers have come to demand high quality, affordable prices, and innovative product designs of the outdoor wear market due to their well-being and leisure oriented lifestyle. A new system of business in outdoor wear has emerged in the process through which corporations have endeavored to satisfy such consumer needs. Outdoor wear brands have utilized social network services (SNS) such as Facebook and Twitter as means of marketing and have built close relations with consumers based on communication through these media. Recently, explosively escalating SNS data are referred to as social big data, and now that every consumer online is a commentator, reviewer, and publisher, the outdoor wear market and all of its brands have to stop talking and start listening to how they are perceived. Therefore, this study employs Social $Metrics^{TM}$, a social big data analysis solution by Daumsoft, Inc., to verify changes in the allusions related to outdoor wear market found on SNS. This study aims to identify changes in consumer perceptions of outdoor wear based on changes in outdoor wear search words and trends in positive and negative public opinion found in SNS social big data. In addition, products of interest, the major brands mentioned, the attributes taken into consideration during purchases of products, and consumers' psychology were categorized and analyzed by means of keywords related to outdoor wear brands found on SNS. The results of this study will provide fundamental resources for outdoor wear brands' market entry and brand strategy implementation in the future.

• Journal of Advanced Marine Engineering and Technology
• /
• v.38 no.2
• /
• pp.208-216
• /
• 2014

In case of any coastal ocean near the mouth of huge rivers, low salinity water can be formed due to its large amount of freshwater discharge. For the acoustic analysis on the low salinity environment, some oceanographic data of the East China Sea and the Atlantic Ocean were collected through KODC (Korea Oceanographic Data Center) and NODC (National Oceanographic Data Center) online service. In this paper, the T-S gradient diagram is introduced to show a relation between the gradients of temperature and salinity in view of acoustic surface channel formation. Existence of haline channel, quantitative contribution of gradients of salinity and temperature, effectiveness of the channel formation can be known by the T-S gradient diagram. After applying the collected data into the diagram, tropical regions of the Atlantic Ocean show strong haline channel due to its nearly invariant temperature and drastic change of salinity with depth. The averaged transmission loss in the channel is about 5.7 ~ 7.5 dB less than that out of the channel by the results of acoustic propagation model (RAM: Range independent Acoustic Model). On the other hand, the East China Sea and temperate region of the Atlantic ocean have weaker haline channel with less difference of the averaged transmission loss between in and out of the channel as 3.2 ~ 6.0 dB. Although data samples used in this study have limitation to represent the general physical structures of the three ocean regions, the T-S gradient diagram is shown to be useful and acoustic field affected by low salinity environment is investigated in this study.

• Journal of the Korean Society for Library and Information Science
• /
• v.30 no.4
• /
• pp.13-38
• /
• 1996

This study focuses on investigating and analyzing overall information use behavior of the social science researchers. questionnaires were sent to 150 researchers in three major libraries or research institutes in the area of the social sciences, Five hypotheses were tested on the basis of the assumption that there would exist unique characteristics in the information seeking behavior of social science researchers The findings of the study shows that social science researchers prefer monographs and journals: they tend to use current material: the first information source for their research activities is the cited references in the book or journal article : they are likely to delegate literature searching to the librarian, but they tend to conduct direct searching in online setting: in general, they react positively for the rapid change in information environment caused by recent development of information technology, It is emphasized that to design an efficient information system and provide an effective information service in the social science related library or information center, it is essential to consider the major characteristics and attributes of social science researchers in terms of their information use behavior.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.29 no.5
• /
• pp.434-442
• /
• 2015

The purpose of this review was to survey the Korean Medicine related papers about women with primary dysmenorrhea in order to develop the clinical protocol of the diagnostic medical device. We searched the literature from 2000 through April 2015 using 5 online databases including Oriental Medicine Advanced Searching Integrated Sysptem (OASIS), Research Information Sharing Service (RISS), DataBase Periodical Information Academic (DBpia) and Korean Medical Database (KMBase). We selected papers to meet the following inclusion criteria: the papers involved dysmenorrhea (excluding secondary dysmenorrhea), published papers (excluding textbook, educational materials, conferences, etc.) and the papers matched search keywords or scope, but excluded papers to meet the following exclusion criteria: the duplicative papers, get out of the keywords and scope and not in english or korean language. Finally we found 17 papers and classified the papers according to the three search purposes which were diagnostic tools for evaluating the menstrual pain, dysmenorrhea' pattern identification and menstrual phase. Out of the 16 studies, 4 studies were focused on the diagnostic tools including Visual Analogue Scale (VAS), Measurement of Menstrual Pain (MMP) and etc. Other 5 studies were aimed at menstrual phase, and the other 7 studies were studied for pattern identification. The VAS has been widely used in research and in clinical practice for the detection of the menstrual pain. Treatments for patients with primary dysmenorrhea can be prescribed in consideration of their patterns of sasang constitution or body constitution as following: Qi stagnation-Blood deficiency, cold dampness, Qi deficiency-blood deficiency and liver-kidney deficiency etc. This results of research will be used as a useful material during plan a clinical study of primary dysmenorrhea and acquisition of good clinical data.