• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.97-113
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• 2016

Due to the growth of internet data and the rapid development of internet technology, "big data" analysis is actively conducted to analyze enormous data for various purposes. Especially in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of existing structured data analysis. Various studies on sentiment analysis, the part of text mining techniques, are actively studied to score opinions based on the distribution of polarity of words in documents. Usually, the sentiment analysis uses sentiment dictionary contains positivity and negativity of vocabularies. As a part of such studies, this study tries to construct sentiment dictionary which is customized to specific data domain. Using a common sentiment dictionary for sentiment analysis without considering data domain characteristic cannot reflect contextual expression only used in the specific data domain. So, we can expect using a modified sentiment dictionary customized to data domain can lead the improvement of sentiment analysis efficiency. Therefore, this study aims to suggest a way to construct customized dictionary to reflect characteristics of data domain. Especially, in this study, movie review data are divided by genre and construct genre-customized dictionaries. The performance of customized dictionary in sentiment analysis is compared with a common sentiment dictionary. In this study, IMDb data are chosen as the subject of analysis, and movie reviews are categorized by genre. Six genres in IMDb, 'action', 'animation', 'comedy', 'drama', 'horror', and 'sci-fi' are selected. Five highest ranking movies and five lowest ranking movies per genre are selected as training data set and two years' movie data from 2012 September 2012 to June 2014 are collected as test data set. Using SO-PMI (Semantic Orientation from Point-wise Mutual Information) technique, we build customized sentiment dictionary per genre and compare prediction accuracy on review rating. As a result of the analysis, the prediction using customized dictionaries improves prediction accuracy. The performance improvement is 2.82% in overall and is statistical significant. Especially, the customized dictionary on 'sci-fi' leads the highest accuracy improvement among six genres. Even though this study shows the usefulness of customized dictionaries in sentiment analysis, further studies are required to generalize the results. In this study, we only consider adjectives as additional terms in customized sentiment dictionary. Other part of text such as verb and adverb can be considered to improve sentiment analysis performance. Also, we need to apply customized sentiment dictionary to other domain such as product reviews.

• Asia Marketing Journal
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• v.13 no.4
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• pp.159-189
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• 2012

What attracts consumers to bloggers' reviews? Consumers would be attracted both by the Bloggers' expertise (i.e., knowledge and experience) and by his/her unbiased manner of delivering information. Expertise and trustworthiness are both virtues of information sources, particularly when there is uncertainty in decision-making. Noting this point, we postulate that consumers' motives determine the relative weights they place on expertise and trustworthiness. In addition, our hypotheses assume that tie strength moderates consumers' expectation on bloggers' expertise and trustworthiness: with expectation on expertise enhanced for power-blog user-group (weak-ties), and an expectation on trustworthiness elevated for personal-blog user-group (strong-ties). Finally, we theorize that the effect of credibility on willingness to accept a review is moderated by tie strength; the predictive power of credibility is more prominent for the personal-blog user-groups than for the power-blog user groups. To support these assumptions, we conducted a field survey with blog users, collecting retrospective self-report data. The "gourmet shop" was chosen as a target product category, and obtained data analyzed by structural equations modeling. Findings from these data provide empirical support for our theoretical predictions. First, we found that the purposive motive aimed at satisfying instrumental information needs increases reliance on bloggers' expertise, but interpersonal connectivity value for alleviating loneliness elevates reliance on bloggers' trustworthiness. Second, expertise-based credibility is more prominent for power-blog user-groups than for personal-blog user-groups. While strong ties attract consumers with trustworthiness based on close emotional bonds, weak ties gain consumers' attention with new, non-redundant information (Levin & Cross, 2004). Thus, when the existing knowledge system, used in strong ties, does not work as smoothly for addressing an impending problem, the weak-tie source can be utilized as a handy reference. Thus, we can anticipate that power bloggers secure credibility by virtue of their expertise while personal bloggers trade off on their trustworthiness. Our analysis demonstrates that power bloggers appeal more strongly to consumers than do personal bloggers in the area of expertise-based credibility. Finally, the effect of review credibility on willingness to accept a review is higher for the personal-blog user-group than for the power-blog user-group. Actually, the inference that review credibility is a potent predictor of assessing willingness to accept a review is grounded on the analogy that attitude is an effective indicator of purchase intention. However, if memory about established attitudes is blocked, the predictive power of attitude on purchase intention is considerably diminished. Likewise, the effect of credibility on willingness to accept a review can be affected by certain moderators. Inspired by this analogy, we introduced tie strength as a possible moderator and demonstrated that tie strength moderated the effect of credibility on willingness to accept a review. Previously, Levin and Cross (2004) showed that credibility mediates strong-ties through receipt of knowledge, but this credibility mediation is not observed for weak-ties, where a direct path to it is activated. Thus, the predictive power of credibility on behavioral intention - that is, willingness to accept a review - is expected to be higher for strong-ties.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.113-120
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• 2016

Technology based would-be entrepreneurs have constantly increased as coming with increasing demands for technology based startup. However, technology based startup need to go through throne field in the preparation and launching process. This paper help technology based would be entrepreneurs recognizing and pivoting all potential fatal flaws covering entrepreneurs to BM with strategies by providing self check-up lists. This paper have developed all check list based upon the previous literature reviews about technology commercialization with carrying Focused Group Interview with mentor and investor involved in the early stage of venture growth. In particular, this paper have applied these tools over 104 participants(would-be entrepreneur and entrepreneurs in the early startup) attending in Hanbat Startup Item Validation Program and Startup Leading University program. This paper developed the mega categories of list as follows: Entrepreneurship, technology and patent, target customer and market, product, BM and strategy. It also developed 17 different concept of components and 58 specific sub-lists under maga list. The research results of paper will provide solid foundation of communication with participants about checking up their state of preparation for startup as applying to mentoring for would-be entrepreneurs and to entrepreneurship education.

• Journal of the Korea Society for Simulation
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• v.29 no.1
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• pp.57-69
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• 2020

Many researchers have recommended that DBR scheduling would be an efficient method to maintain the balance of their workload among many processes in the general flow shop. However, as product variety has increased in recent years, the process has become more complex and requires the re-entrance of raw materials and work in process. The re-entrant line has known for the complex manufacturing process that raw materials are repeatedly processed on the same machine. This study reviews the applicability of DBR against the re-entrant manufacturing line due to the distinguishing characteristics and the higher complexity caused by multiple visits of a job into the identical process. In order to apply the DBR method to the re-entrant process, the main idea is to reconstruct re-entrant process into a virtual flow process(loop) that has a single bottleneck. This study discusses the following two questions. First, DBR is also superior to traditional scheduling methods against re-entrant manufacturing line. And how we structure and detect the system bottleneck (or sub-bottleneck) through drum-buffer-rope concepts. To answer the above questions, we experimented and analyzed the effects of the applicability of DBR under the general re-entrant process model(TRC, Technology Research Center). As a result, we have identified a balance between loops for cycle time and work in process.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.3
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• pp.1-22
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• 2009

A firm's competitive capabilities become greater when the firm has a specific knowledge. There are many studies have been examined how to accumulate the firm specific knowledge and to get the competitive capability on the various perspectives. This study suggest that the conceptual framework on the absorptive capability through reviews on the knowledge management theory. And it also suggests that the proposition about the technological capability building process through the in depth case study on a small and medium sized company in a LCD industry. This study found the following major characteristics about the absorptive capability building and knowledge creating process. First, it is required to building an absorptive capability rapidly that the harmony of local capabilities, integrative capabilities, and intensity of effort. And the most important factor is the intensity of effort in a small and medium sized firm with a weak knowledge base. Second, it is required to develop an innovative new product that the utilization of expeditious learning mechanism based on the exploration and exploitation process. Finally, complementary assets are needed to proactive exploration and exploitation. Based on the findings, the theoretical and managerial implications are derives and the further research directions are proposed.

• Journal of the Korean Society of Food Science and Nutrition
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• v.24 no.5
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• pp.816-828
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• 1995

During the industrial preparation and the storage of foods, the side chain of some protein-bound amino acids can react chemically each other or with other molecules present in the food. The following reactions have been described : destruction of amino acids, racemization, protein-protein interactions, reactions of proteins with reducing sugars, oxidizing agents, or polyphenols. Apart from total destruction, the main reacitons are the forming of Maillard reactions products(e.g. fructoselysine) and the crosslinking with other amino acids in the same or in another protein molecule(e.g. lysinoalanine). The most often involved amino acid is lysine because of its free functional ${\varepsilon}-amino$ acid group. Generally derivatives of amino acids or crosslinks in polypeptides influence the bioavailability and the overall digestibility of the protein. This work reviews the technological, analytical, nutritional, and physiological problems related to the formation of fructoselysine and lysinolalnine in human foods, and evaluates the possible health risk for humans. A summary of the available information is of help in considering whether or not the presence of fructoselysine/lysinoalanine in foods represents a danger to man. The reduction in protein quality through these reactions is not a problem for the general population, but it is extremely important in infant foods, since infants are often nourished with a limited number of food product(e.g. formular foods) which are sensitive to the Mailard reaction.

• 한국벤처창업학회:학술대회논문집
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• 2009.08a
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• pp.67-88
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• 2009

A firm's competitive capabilities become greater when the firm has a specific knowledge. There are many studies have been examined how to accumulate the firm specific knowledge and to get the competitive capability on the various perspectives. This study suggest that the conceptual framework on the absorptive capability through reviews on the knowledge management theory. And it also suggests that the proposition about the technological capability building process through the in depth case study on a small and medium sized company in a LCD industry. This study found the following major characteristics about the absorptive capability building and knowledge creating process. First, it is required to building an absorptive capability rapidly that the harmony of local capabilities, integrative capabilities, and intensity of effort. And the most important factor is the intensity of effort in a small and medium sized firm with a weak knowledge base. Second, it is required to develop an innovative new product that the utilization of expeditious learning mechanism based on the exploration and exploitation process. Finally, complementary assets are needed to proactive exploration and exploitation. Based on the findings, the theoretical and managerial implications are derives and the further research directions are proposed.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.29-39
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• 2020

Online communities, such as Internet portal sites and social media, have become popular since they allow users to share opinions and to obtain information anytime, anywhere. Accordingly, an increasing number of opinions are manipulated to the advantage of particular groups or individuals, and these opinions include falsified product reviews and political propaganda. Existing detection systems are built upon the characteristics of manipulated opinions for one particular time period. However, manipulation tactics change over time to evade detection systems and to more efficiently spread information, so detection systems should also evolve according to the changes. We therefore propose a system that helps observe and trace changes in manipulation tactics. This system classifies opinions into clusters that represent different tactics, and changes in these clusters reveal evolving tactics. We evaluated the system with over a million opinions collected during three election campaigns and found various changes in (i) the times when manipulations frequently occur, (ii) the methods to manipulate recommendation counts, and (iii) the use of multiple user IDs. We suggest that the operators of online communities perform regular audits with the proposed system to identify evolutions and to adjust detection systems.

• Journal of Fashion Business
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• v.2 no.2
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• pp.85-96
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• 1998

This is a study on the revitalization of the fashion design studios (planning and production companies of clothing) in compliance with the request from the Small and Medium Business Administration. It's purpose is to strengthen the competence of the petty company and eventually frourish the Korean Fashion Business. The research method to conduct this study consists of two parts. First part is the research on the domestic industry mainly by questionaire, interviews and literature reviews. After making out the directory of the design studios (total of 700), 85 studios were selected for the questionaire. And by interviewing them, data with more depth was obtained. The second part is the research of the foreign cases. In the case of Japan, survey was done on the spot. However, in the case of Italy, literature review and interview with specialists were made. Also in order to higher the efficiency of the study an advisory committee and final explanatory meeting was carried into effect. This study has started first by looking into the significance and function of the fashion design studios. Then, a full scale examination was made centering around the questionarie of the present conditions of the companies. General conditions were first observed. Then the survey was done by grouping the industry by the industrial classifications such as woven, knit, leather mustang fur and fashion accesaries. The problems these companies face are that they are petty in scale and in lack of speciality, professional training, government support. Also, they are without an association or an organization that speaks for them and they face problems while doing business with others. Cases of Japan and Italy were surveyed as the example of the advanced nations. In the case of Japan, development of planning and management company, Fashion Soft House, was analyzed. Italy for instance, the function of the studios was looked into centering around the silk complex, Como, knit product complex, Capri. Also, precedent cases of brands and developing factor of the fashion industry was examined. Finally, on the basis of the result of the study, a plan to revitalize the fashion design studios was presented centering around the strategic planning, management, production, developing of talent, improvement of relationship between business acqaintance, and the support policy of the government.

• Information Systems Review
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• v.18 no.1
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• pp.125-140
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• 2016

Mobile applications (apps) play a significant role in the proliferation of smartphones. According to statistics from Apple, 100 million apps were downloaded in 2008. Since then, the number of cumulative app downloads have increased exponentially. By October 2014, 85 billion apps had been downloaded worldwide. Many studies have attempted to determine the factors that drive app downloads. However, unlike previous studies, we examine the effects of app updates on app rankings. To achieve this goal, we collected data on rankings (gross rankings and category rankings), update contents, reviewer ratings, and number of reviews on apps listed in the App Store. We then categorized app updates into functionality, reliability, and convenience updates following the buying hierarchy model. We found that functionality updates had a positive effect on app gross ranking whereas reliability updates had a positive effect on category ranking. Our study is the first to explore the effects of update content on app ranking. Moreover, our study provides a practical implication for mobile app developers, who should consider app updates in their product development strategy.