• Information Systems Review
• /
• v.20 no.2
• /
• pp.39-62
• /
• 2018

Thanks to the growth of computing power and the recent development of data analytics, researchers have started to work on the data produced by users through the Internet or social media. This study is in line with these recent research trends and attempts to adopt data analytical techniques. We focus on the impact of "internal marketing" factors on firm performance, which is typically studied through survey methodologies. We looked into the job review platform Jobplanet (www.jobplanet.co.kr), which is a website where employees and former employees anonymously review companies and their management. With web crawling processes, we collected over 40K data points and performed morphological analysis to classify employees' reviews for internal marketing data. We then implemented econometric analysis to see the relationship between internal marketing and market capitalization. Contrary to the findings of extant survey studies, internal marketing is positively related to a firm's market capitalization only within a limited area. In most of the areas, the relationships are negative. Particularly, female-friendly environment and human resource development (HRD) are the areas exhibiting positive relations with market capitalization in the manufacturing industry. In the service industry, most of the areas, such as employ welfare and work-life balance, are negatively related with market capitalization. When firm size is small (or the history is short), female-friendly environment positively affect firm performance. On the contrary, when firm size is big (or the history is long), most of the internal marketing factors are either negative or insignificant. We explain the theoretical contributions and managerial implications with these results.

• Journal of Digital Convergence
• /
• v.11 no.5
• /
• pp.245-256
• /
• 2013

The purpose of this study was to investigate the success factors of sports marketing companies in Korea. Four sport marketing companies were selected as research targets. Also, several data were collected through the books, articles, related literatures, and internet. In addiction, three in-depth interviews were conducted for the qualitative study. The results of this study was as follows. First, some sports marketing companies had been successful in business with big fund. Second, they used choice and focus strategies. Third, they had strategic and careful plans, and their own know-how for the blue ocean markets. Finally, they had expanded its business market by developing various strategies through the media.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.6
• /
• pp.1121-1126
• /
• 2017

Recently, the importance of smart gateways that link these with the big data and the development of the Internet of things is getting bigger. The smart gateway includes a network function such as a router and a router, and a sensor network function that links various objects such as a sensor. As the internet market has expanded, network stability and security problems have arisen and VPN technology has been proposed as one of the ways to solve these security problems. Efficient design is needed to implement VPN in low-end smart gateway and SOHO-level Internet environment with poor line quality. In this paper, we propose the concept and principle of VPN tunneling implementation and real - time traffic shaping method according to internet line condition in the Smart Gateway that supports IOT developed based on OpenWRT, the implementation and measured performance indicators are presented.

• Journal of Digital Contents Society
• /
• v.16 no.4
• /
• pp.605-613
• /
• 2015

This paper addresses the problem to make sparse the projection matrix in pattern recognition method. Recently, the size of computer program is often restricted in embedded systems. It is very often that developed programs include some constant data. For example, many pattern recognition programs use the projection matrix for dimension reduction. To improve the recognition performance, very high dimensional feature vectors are often extracted. In this case, the projection matrix can be very big. Recently, RSR(roated sparse regression) method[1] was proposed. This method has been proved one of the best algorithm that obtains the sparse matrix. We propose three methods to improve the RSR; outlier removal, sampling and elastic net RSR(E-RSR) in which the penalty term in RSR optimization function is replaced by that of the elastic net regression. The experimental results show that the proposed methods are very effective and improve the sparsity rate dramatically without sacrificing the recognition rate compared to the original RSR method.

• Journal of Internet Computing and Services
• /
• v.17 no.1
• /
• pp.55-64
• /
• 2016

Existing Android applications for streaming video in real time are dependent on the codec, which composes the encoding function, and the version of Android operating system. Also, for streaming video in real time, most applications should be connected with a separate desktop PC. To overcome these disadvantages, we propose a new application, which records and streams video in real time. Specifically, the proposed application uses the flash video file format, which is the common media file format supported by various versions of Android operating system. Through experiments, we show that it is possible for the proposed application to record the video screens more than 20 frames per second and to stream it in real time while using the existing video encoding methods.

• The Journal of the Korea Contents Association
• /
• v.18 no.9
• /
• pp.231-239
• /
• 2018

This study will analyze the meaning and the characteristic of advertising system in Facebook, one of the leading social platforms. This study focuses on finding the trend of mobile advertisement and observing Facebook users behavior. During 30seconds, the researcher observed the behaviors of 50 male and female university students which they access and use their own Facebook individually. After the observation, the researcher did an in-depth analysis based on offline discussion with tested participants. As a result, it can be classified in positive causes and negative causes of the advertisement. There are 3 positive causes; native advertisement effect, acquaintance effect, and big data effect and they help people watch the advertisement positively. 1.5-3 times per second high speed scroll behavior (Finger effect) is the main negative cause and it help users escape from the advertisement easily. These positive and negative causes have an interactive synergy which reduces user stress and makes people enjoy ad more than other media. Finally, both of them cause making Facebook a better environment for the advertisement.

• Cartoon and Animation Studies
• /
• s.34
• /
• pp.367-386
• /
• 2014

The development of science was crucial to recent advancements in design such as digital contents, UI, GUI, UX design. Not until the DOS evolved into Windows OS were many kinds of digital media design created, namely due to the invention of the computer mouse. A necessary element of mobile phones and Window OS is icons, since icons act as visual symbols, touch buttons and gateways into software content. Icons have undergone many stages of development simultaneously with developments in digital science. We can observe changes in mobile icon design from Skeuomorphism Design to Minimalism to Flat Design. These changes were caused by macro-level trends in design across all other industries. Apple iPhone's Skeuomorphism Design of 2013 evolved into IOS7's Minimalism and Flat Design of 2014. In the mobile world, flat design will again create big changes in design. This research aims to contribute to basic research data of GUI design that are used by creators of mobile apps to understand and anticipate future trends.

• Journal of the Korea Convergence Society
• /
• v.11 no.7
• /
• pp.9-18
• /
• 2020

The research objectives investigates main research topics and trends in the information and communication technology(ICT) field, Korea using LDA(Latent Dirichlet Allocation), one of the topic modeling techniques. The experimental dataset of ICT research and development(R&D) project of 5,200 was acquired through matching with the EZone system of IITP after downloading R&D project dataset from NTIS(National Science and Technology Information Service) during recent five years. Consequently, our finding was that the majority research topics were found as intelligent information technologies such as AI, big data, and IoT, and the main research trends was hyper realistic media. Finally, it is expected that the research results of topic modeling on the national R&D foundation dataset become the powerful information about establishment of planning and strategy of future's research and development in the ICT field.

• Journal of Broadcast Engineering
• /
• v.20 no.6
• /
• pp.848-861
• /
• 2015

In this paper, we introduce a new web-based PR video making service system. Many video editing tools have required tough editing skill or scenario planning stage for a just simple PR video making. Some users may prefer a simple and fast way than sophisticated and complex functionality. To solve this problem, it is important to provide easy user interface and intelligent classification and recommendation scheme. Therefore, we propose a new template classification and recommendation scheme using a topic modeling method. The proposed scheme has the big advantage of being able to handle the unstructured meta data as well as structured one.

• Asian Journal for Public Opinion Research
• /
• v.6 no.1
• /
• pp.31-38
• /
• 2018

Leading up to the 2019 presidential election in Indonesia, campaigns have emerged through social media, particularly Twitter, using various hashtags, such as #2019GantiPresiden (2019 Change President) and #TetapJokowi (Always Jokowi). This paper tries to understand the presidential candidates' power map in forming opinions and influencing voter behavior by analyzing Twitter from August 6, 2018 to September 15, 2018, just before the beginning of the official campaign period, by searching for the keyword "pemilihan presiden RI Tahun 2019" (RI presidential election in 2019). According to our NodeXL's analysis, there were 1,650 active Twitter users talking about the 2019 presidential election. The 1,650 Twitter users have formed a communication network of 46,750 relationships formed from messages in the form of tweets, comments, and retweets. Our analysis found that those mentioning "pilihan presiden 2019" form large communication networks around four clusters: one for each of the two candidates (Jokowi and Prabowo) and two for opinion leaders who are undecided about the election (Gus Mus and Mas Piyu). GusMus is a religious leader, as an official of the PBNU Rais Syuriah (an Islamic organization) and has a large following both on and off Twitter. "MasPiyu" is an unidentified Twitter user; he only has a large following on Twitter, but does not have support offline.