• The Journal of Industrial Distribution & Business
• /
• v.13 no.7
• /
• pp.27-35
• /
• 2022

Purpose: To entice new customers, companies attach their products to sports. From a pastime enjoyed by many to a multi-billion-dollar enterprise, the sport has evolved due to the growth in sports marketing spending. The purpose of this study is to illustrate the notion of sports media marketing using the prior textual data. Research design, data and methodology: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was conducted to investigate previous literature to achieve the purpose of the study. This method includes searching for information sources, selection of articles, and results extraction relative to the objectives. Results: The findings from prior systematic review indicated that customers and the marketplace can be better understood with the help of well-executed marketing campaigns. Moreover, many different techniques are being utilized to describe sports marketing such as the use of media, advertisement, public relations, and direct sales. Conclusions: All in all, the present study concludes that the notion of associative competitiveness is one of the unique characteristics of the sports sector. As a result, sports leagues and federations must maintain a balance within the league and develop a shared marketing strategy to help promote their respective sports and competitions.

• The Journal of Industrial Distribution & Business
• /
• v.14 no.12
• /
• pp.23-31
• /
• 2023

Purpose: The primary objectives of this research are: (1) To examine the current situation of employee welfare in diverse workplace settings. (2) To explore and identify the different challenges that affect employees' overall well-being. (3) To examine and establish the importance of consultation as a strategic tool in addressing these challenges and enhancing employee welfare. Research design, data and methodology: The first step of the research design is the identification of databases, search terms, and filters. A thorough search will be conducted across respectable academic databases, journals, and pertinent sources using keywords and controlled vocabulary about consultation, employee welfare, and related concepts. The next step is full-text assessment, which verifies compliance with the research question and assesses the caliber of the methodology. Results: According to the previous evidence, the significant benefits of effective consultation for employee welfare have been highlighted: 1. positive impact on productivity in the workplace, 2. Effective consultation Improves employee's engagement, 3. Effective consultation Increases employee retention, and 4. Effective consultation facilitates trust in a corporate communication. Conclusions: The study has identified four main advantages: enhanced productivity, enhanced engagement, increased retention, and enhanced trustbuilding. These findings provide insightful information for practitioners looking to foster positive workplace cultures and improve organizational success.

• Journal of Korean Medical classics
• /
• v.30 no.3
• /
• pp.95-108
• /
• 2017

Objectives : The concept of hidden Yin in summer by Zhu Danxi deals with the relationship between summer heat disease and hidden yin inside of human body. This paper attempts to ponder upon the clinical issues around which the discussions regarding the topic unfolded, and upon the texts on which the doctors of the discussions based their opinions. Methods : First, Danxi's argument as discussed in $G{\acute{e}}zh{\grave{i}}y{\acute{u}}l{\grave{u}}n$ is analyzed to find out his understandings of clinical issues and his textual sources on which he based his new perspective. Moreover, the prescriptions that Danxi thought was problematic and the concept of hidden yin as it existed before the time of Danxi are reviewed, and these findings are used understand Zhangjingyue's ground of criticism against Danxi. Lastly, this paper contemplates how these opposing opinions may be helpful to the general principles of medical theories. Results & Conclusions : There was a trend before the time of Danxi of abusing drugs as prescription based on warm-heat, understanding that a human body has yin-cold during summer. However, Danxi brought forth a new concept of yin deficiency in order to correct people's misunderstanding. Despite his effort, Zhangjingyue and other doctors contemporary to Danxi emphasized on one hand that human body is placed on a state of external heat inside the cold, and on the another, criticized Danxi of failing to fully understand the principle of "Abandon the time and follow the symptoms", a principle which asserts that the cold and warm of medicine should be decided by the symptom itself and not by the season. The value of these contradicting assertions seems to hold true even to this day because it helps us understand that the principles of "Counting Season as a Treatment Factor" and "Abandon the time and follow the symptoms" could be applied with balance in conjunction with each other.

• Journal of Intelligence and Information Systems
• /
• v.22 no.1
• /
• pp.83-105
• /
• 2016

Measuring an individual's subjective wellbeing in an accurate, unobtrusive, and cost-effective manner is a core success factor of the wellbeing support system, which is a type of medical IT service. However, measurements with a self-report questionnaire and wearable sensors are cost-intensive and obtrusive when the wellbeing support system should be running in real-time, despite being very accurate. Recently, reasoning the state of subjective wellbeing with conventional sentiment analysis and unstructured data has been proposed as an alternative to resolve the drawbacks of the self-report questionnaire and wearable sensors. However, this approach does not consider contextual polarity, which results in lower measurement accuracy. Moreover, there is no sentimental word net or ontology for the subjective wellbeing area. Hence, this paper proposes a method to extract keywords and their contextual polarity representing the subjective wellbeing state from the unstructured text in online websites in order to improve the reasoning accuracy of the sentiment analysis. The proposed method is as follows. First, a set of general sentimental words is proposed. SentiWordNet was adopted; this is the most widely used dictionary and contains about 100,000 words such as nouns, verbs, adjectives, and adverbs with polarities from -1.0 (extremely negative) to 1.0 (extremely positive). Second, corpora on subjective wellbeing (SWB corpora) were obtained by crawling online text. A survey was conducted to prepare a learning dataset that includes an individual's opinion and the level of self-report wellness, such as stress and depression. The participants were asked to respond with their feelings about online news on two topics. Next, three data sources were extracted from the SWB corpora: demographic information, psychographic information, and the structural characteristics of the text (e.g., the number of words used in the text, simple statistics on the special characters used). These were considered to adjust the level of a specific SWB. Finally, a set of reasoning rules was generated for each wellbeing factor to estimate the SWB of an individual based on the text written by the individual. The experimental results suggested that using contextual polarity for each SWB factor (e.g., stress, depression) significantly improved the estimation accuracy compared to conventional sentiment analysis methods incorporating SentiWordNet. Even though literature is available on Korean sentiment analysis, such studies only used only a limited set of sentimental words. Due to the small number of words, many sentences are overlooked and ignored when estimating the level of sentiment. However, the proposed method can identify multiple sentiment-neutral words as sentiment words in the context of a specific SWB factor. The results also suggest that a specific type of senti-word dictionary containing contextual polarity needs to be constructed along with a dictionary based on common sense such as SenticNet. These efforts will enrich and enlarge the application area of sentic computing. The study is helpful to practitioners and managers of wellness services in that a couple of characteristics of unstructured text have been identified for improving SWB. Consistent with the literature, the results showed that the gender and age affect the SWB state when the individual is exposed to an identical queue from the online text. In addition, the length of the textual response and usage pattern of special characters were found to indicate the individual's SWB. These imply that better SWB measurement should involve collecting the textual structure and the individual's demographic conditions. In the future, the proposed method should be improved by automated identification of the contextual polarity in order to enlarge the vocabulary in a cost-effective manner.

• Journal of Intelligence and Information Systems
• /
• v.23 no.3
• /
• pp.1-27
• /
• 2017

It is known that the economic sentiment index and macroeconomic indicators are closely related because economic agent's judgment and forecast of the business conditions affect economic fluctuations. For this reason, consumer sentiment or confidence provides steady fodder for business and is treated as an important piece of economic information. In Korea, private consumption accounts and consumer sentiment index highly relevant for both, which is a very important economic indicator for evaluating and forecasting the domestic economic situation. However, despite offering relevant insights into private consumption and GDP, the traditional approach to measuring the consumer confidence based on the survey has several limits. One possible weakness is that it takes considerable time to research, collect, and aggregate the data. If certain urgent issues arise, timely information will not be announced until the end of each month. In addition, the survey only contains information derived from questionnaire items, which means it can be difficult to catch up to the direct effects of newly arising issues. The survey also faces potential declines in response rates and erroneous responses. Therefore, it is necessary to find a way to complement it. For this purpose, we construct and assess an index designed to measure consumer economic sentiment index using sentiment analysis. Unlike the survey-based measures, our index relies on textual analysis to extract sentiment from economic and financial news articles. In particular, text data such as news articles and SNS are timely and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. There exist two main approaches to the automatic extraction of sentiment from a text, we apply the lexicon-based approach, using sentiment lexicon dictionaries of words annotated with the semantic orientations. In creating the sentiment lexicon dictionaries, we enter the semantic orientation of individual words manually, though we do not attempt a full linguistic analysis (one that involves analysis of word senses or argument structure); this is the limitation of our research and further work in that direction remains possible. In this study, we generate a time series index of economic sentiment in the news. The construction of the index consists of three broad steps: (1) Collecting a large corpus of economic news articles on the web, (2) Applying lexicon-based methods for sentiment analysis of each article to score the article in terms of sentiment orientation (positive, negative and neutral), and (3) Constructing an economic sentiment index of consumers by aggregating monthly time series for each sentiment word. In line with existing scholarly assessments of the relationship between the consumer confidence index and macroeconomic indicators, any new index should be assessed for its usefulness. We examine the new index's usefulness by comparing other economic indicators to the CSI. To check the usefulness of the newly index based on sentiment analysis, trend and cross - correlation analysis are carried out to analyze the relations and lagged structure. Finally, we analyze the forecasting power using the one step ahead of out of sample prediction. As a result, the news sentiment index correlates strongly with related contemporaneous key indicators in almost all experiments. We also find that news sentiment shocks predict future economic activity in most cases. In almost all experiments, the news sentiment index strongly correlates with related contemporaneous key indicators. Furthermore, in most cases, news sentiment shocks predict future economic activity; in head-to-head comparisons, the news sentiment measures outperform survey-based sentiment index as CSI. Policy makers want to understand consumer or public opinions about existing or proposed policies. Such opinions enable relevant government decision-makers to respond quickly to monitor various web media, SNS, or news articles. Textual data, such as news articles and social networks (Twitter, Facebook and blogs) are generated at high-speeds and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. Although research using unstructured data in economic analysis is in its early stages, but the utilization of data is expected to greatly increase once its usefulness is confirmed.

• Journal of the Korean earth science society
• /
• v.29 no.4
• /
• pp.328-340
• /
• 2008

To discriminate the provenance of shelf sediments in the western part off Jeju Island, the textual and elemental compositions were analyzed and compared with the sediments originating from Changjiang and Huanghe Rivers of China and the Korean (Keum) River. The sediments in the study area are composed of coarse silt with a mean pain size of $3.6{\sim}8.5{\phi}$ and their $CaCO_3$ contents ranged from 0.92 to 9.75 wt.%. The ratios of TOC over total nitrogen (TN) showed that the study area sediments contained more organic matters of marine origin than those of terrigenous origin. The high concentration of Fe/Al, Ti/Al and Mn/Al figures were found in the southwestern part near the Changjiang esturay, indicating that it seemed to result from the influence of the Changjiang River. The discrimination diagrams including Sc/Al vs Cr/Th, Th/Sc vs Nb/Co and Ti/Nb vs Th/Sc were thus used as provenance indicators to identify the sediment origins of the western part off Jeju Island. Based on these discriminated diagrams it clearly showed that most of the sediment in the western part were originated from the Huanghe River, but the sediments in the southwestern part near the Changjiang esturay might come from the Changjiang River. In contrast, the sediment samples of the northeastern part showed the higher figures than those of the river sediments and other regions, suggesting that the sediments in the western part off Jeju Island must be originated from diverse sources.

• Cross-Cultural Studies
• /
• v.20
• /
• pp.241-274
• /
• 2010

Due to the remarkable changes in the early twentieth century, the new invention and technology impacted peoples' everyday lives and people started to use the word, modern, to apply specifically to what pertained to present times and to designate a movement in what was new and not old-fashioned-a condition of newness. In the present day, however, the fantastic cultural changes of a century ago have now become commonplace, and what was once considered radically new is no longer a reason to marvel. This paper considers what it mean to be modern, once the new is no longer new. This question seems to remain as complicated and inappropriate to ponder because the consideration and impact of modernity cannot simply end with the end of an era. This paper investigates how the interconnected nature of popular culture provides apt illustrations to reveal the ambivalent nature of modernity and postmodernity. In doing so, first of all, this paper pays attentions to the notion of modernity and popular culture which emerged together in the early twentieth century when technology and mass consumer culture were promoted over the world. Also, it examines how popular culture represents a complex of mutually-interdependent perspectives and values that influence society and its institutions in various ways as the image of modernity continues to build in a postmodern era. That is, popular culture is identified as a large amount of intertextuality or collective experiences due to its intermingling of complementary distribution sources and techonology. Thus, this paper explores that popular culture devotes itself other images or narratives instead of referring to the real world and its output revisits the contemporary or past times in other places, being a means to produce and reproduce the accumulated images of the modern which shapes ceaseless simulacra of modernity over complexities of modernity. In order to find a critical juncture of the complex networks of modernity and popular culture, this paper considers two places, Chicago and Gyeongsung in the 1920s and 1930s in which the rapid modern experience took place and the modern movement forced the two societies to join the mass consumer culture whether willingly or not. Next, this paper considers two movies released in 2002 and 2008 that exemplify the complexities of modernity in Chicago and Gyeongung of the 1920s and 30s: Chicago and Modern Boy. Both films have common themes of the 1920s and 30s such as violence, adultery, femme fatal, and criminal themes with the forms of musical, dance, drama, and romance. Through the textual analysis of both Chicago and Modern Boy, two films are compared in observing the similar and different ways in which two films deal with the theme of modernity when they are represented from the contemporary perspectives. More specifically, this paper questions how modernity is present in contemporary cultural forms such as commercial and hybrid genre films; and how these movies create a new image of modern by embodying the double coding. Ultimately, this paper aims at realizing the paradox of double edged modernity and its ongoing discourse that controls people's consciousness through the medium of popular culture.

• Korean Journal of Heritage: History & Science
• /
• v.33
• /
• pp.162-181
• /
• 2000

This paper investigates sixteen rock-cut arhat images of the Koryo period at Sungbul-sa (成佛寺) in Chunan (天安), South Chungchung Province. These images, together with a Buddha triad in the center, are carved in thin relief on the large granite wall ($375cm{\times}248cm$), and below them is engraved a huge lotus petal which looks to be supporting all the images above. According to extant textual sources, arhats were popularly worshipped in the Koryo period. The Painting of Five Hundred Arhat Images was brought to Koryo from Later Liang (後梁) of the Five Dynasties (五代) in 923. From that time on, the cult of arhat had become gradually known in Koryo. More than thirty ceremonies worshipping arhats (羅漢齊) were officially held in Koryo court. The Sixteen Arhat images (十六羅漢像) were enshrined in many temples. In Boje-sa (普濟寺), which kings and aristocrats often visited for ritual ceremonies, had its main hall dominated by the Five Hundred Arhats, called Nahan-pocheon (羅漢寶殿). However, a limited number of arhat images of the Koryo period, originally made as sets of sixteen or five hundred arhats, are now extant. The Sixteen Arhat images at Sungbul-sa are unique examples that show all sixteen images in situ. The Sixteen Arhat images, though some of them are abraded, show various postures and gesture. One of them sits with his knee bent, and one arhat is sitting on a chair with his hand held upward. Each image is carved in a niche, just as the arhat images of Northern Song China are normally represented in niches of a cave, and are quite similar in style to the arhat images of the Northern Song period at Qinglindong (靑林洞) cave, Feilaifeng (飛來峰), Zejiang province (浙江省). This similarity between the arhat images of Sungbul-sa and those of Qinglindong certifies the strong impact of Song Buddhist art on Koryo frequently mentioned in texts. The Sixteen Arhat images surround the central Buddha raising his hand up to his chest. This Buddha triad could be ascribed to be either the Maitreya Buddha triad or the Sakyamuni Buddha triad based on the Lotus Sutra (妙法蓮華經). Still, the Sakyamuni Buddha triad was more often represented with sixteen or five hundred arhats in the Koryo period, as was seen in the record of Boje-sa where the Sakyamuni triad was enshrined with five hundred arhat images. The Sixteen Arhat images of Sungbul-sa arc most likely to be a rare example of Koryo Arhat images showing the Sakyamuni Buddha triad and the Sixteen Arhats who were predicted to be Buddhas by Sakyamuni in the Lotus Sutra.

• Journal of Popular Narrative
• /
• v.25 no.1
• /
• pp.193-215
• /
• 2019

According to ethical literary criticism, every type of literature has its text. The original definition of oral literature refers to the literature disseminated orally. Before the dissemination, the text of oral literature is stored in the human brain, which is termed as "brain text". Brain text is the textual form used before the formation of writing symbols and its application to a recording of information, and it still exists after the creation of writing symbols. Other types of texts are written text and electronic text. Brain text consists of brain concepts, which, according to different sources, can be divided into objective concepts and abstractive concepts. Brain concepts are tools for thinking while thought comes from thinking with understanding and an application of brain concepts. Brain text is the carrier of thought. The termination of the synthesis of brain concepts signifies the completion of thinking, which produces thoughts to form brain text. Brain text determines thinking and behavioral patterns that not only communicate and spread information, but also decide our ideas, thoughts, judgments, choices, actions and emotions. Brain text is also a deciding factor for our lifestyle and moral behaviors. The nature of a person's brain text determines his thoughts and actions, and most importantly determines who he is.

• Journal of Intelligence and Information Systems
• /
• v.29 no.4
• /
• pp.31-49
• /
• 2023

With the growth of the food-catering industry, consumer preferences and the number of dine-in restaurants are gradually increasing. Thus, personalized recommendation services are required to select a restaurant suitable for consumer preferences. Previous studies have used questionnaires and star-rating approaches, which do not effectively depict consumer preferences. Online reviews are the most essential sources of information in this regard. However, previous studies have aggregated online reviews into long documents, and traditional machine-learning methods have been applied to these to extract semantic representations; however, such approaches fail to consider the surrounding word or context. Therefore, this study proposes a novel review textual-based restaurant recommendation model (RT-RRM) that uses deep learning to effectively extract consumer preferences from online reviews. The proposed model concatenates consumer-restaurant interactions with the extracted high-level semantic representations and predicts consumer preferences accurately and effectively. Experiments on real-world datasets show that the proposed model exhibits excellent recommendation performance compared with several baseline models.