• The Korean Journal of Archival Studies
• /
• no.18
• /
• pp.3-36
• /
• 2008

Despite the institutional, organizational, and technological advances in the level of national records management that has occurred during the past several years, there has been no significant change in the condition of records management within individual public institutions, which may be an outset for records management. In order to begin the advance in national records management with overall innovation in records management by public institutions, it is necessary to distinctly set up the direction of innovation and a project to carry out. Also, a person in charge of records management, who is supposed to lead records management in each institution, should share the directions and projects. Against this backdrop, this study aims to define "the evaluation of records management" as a vehicle to establish a common goal for the innovation of records management and the role of a person in charge of records management as well as to develop evaluation indicators that might be applicable to all public institutions. With this aim, the study drew requirements of records management from domestic and overseas cases in the evaluation of records management conditions as well as the laws and standards of records management, and a roadmap for national records management innovation. Then, the study developed evaluation indicators by classifying the requirements according to three areas involving an organizational environment, records management job, and records management in the offices that create and file their own documents. The organizational environment area is concerned with the evaluation of the records management policy and the responsibility of an institution, and the evaluation of human resources and physical environment. The records management business area includes the measurement of the level of jobs, such as the records creation control conducted by the records management authority of each institution, the management of records schedules, the accession, preservation, and appraisal of records and their service, and the monitoring of records management. The area of records management in the offices is composed of the creation, registration, arrangement, and transfer of records as they are intended to be used during the monitoring of records management conditions. The study made it possible to measure all evaluation indicators with a quantitative evaluation method by clearly proposing the standard for objective and accurate evaluation.

• Journal of Intelligence and Information Systems
• /
• v.24 no.4
• /
• pp.197-217
• /
• 2018

Music is one of the most creative act that can express human sentiment with sound. Also, since music invoke people's sentiment to get empathized with it easily, it can either encourage or discourage people's sentiment with music what they are listening. Thus, sentiment is the primary factor when it comes to searching or recommending music to people. Regard to the music recommendation system, there are still lack of recommendation systems that are based on customer sentiment. An algorithm's that were used in previous music recommendation systems are mostly user based, for example, user's play history and playlists etc. Based on play history or playlists between multiple users, distance between music were calculated refer to basic information such as genre, singer, beat etc. It can filter out similar music to the users as a recommendation system. However those methodology have limitations like filter bubble. For example, if user listen to rock music only, it would be hard to get hip-hop or R&B music which have similar sentiment as a recommendation. In this study, we have focused on sentiment of music itself, and finally developed methodology of defining new index for music recommendation system. Concretely, we are proposing "SWEMS" index and using this index, we also extracted "Sentiment Pattern" for each music which was used for this research. Using this "SWEMS" index and "Sentiment Pattern", we expect that it can be used for a variety of purposes not only the music recommendation system but also as an algorithm which used for buildup predicting model etc. In this study, we had to develop the music recommendation system based on emotional adjectives which people generally feel when they listening to music. For that reason, it was necessary to collect a large amount of emotional adjectives as we can. Emotional adjectives were collected via previous study which is related to them. Also more emotional adjectives has collected via social metrics and qualitative interview. Finally, we could collect 134 individual adjectives. Through several steps, the collected adjectives were selected as the final 60 adjectives. Based on the final adjectives, music survey has taken as each item to evaluated the sentiment of a song. Surveys were taken by expert panels who like to listen to music. During the survey, all survey questions were based on emotional adjectives, no other information were collected. The music which evaluated from the previous step is divided into popular and unpopular songs, and the most relevant variables were derived from the popularity of music. The derived variables were reclassified through factor analysis and assigned a weight to the adjectives which belongs to the factor. We define the extracted factors as "SWEMS" index, which describes sentiment score of music in numeric value. In this study, we attempted to apply Case Based Reasoning method to implement an algorithm. Compare to other methodology, we used Case Based Reasoning because it shows similar problem solving method as what human do. Using "SWEMS" index of each music, an algorithm will be implemented based on the Euclidean distance to recommend a song similar to the emotion value which given by the factor for each music. Also, using "SWEMS" index, we can also draw "Sentiment Pattern" for each song. In this study, we found that the song which gives a similar emotion shows similar "Sentiment Pattern" each other. Through "Sentiment Pattern", we could also suggest a new group of music, which is different from the previous format of genre. This research would help people to quantify qualitative data. Also the algorithms can be used to quantify the content itself, which would help users to search the similar content more quickly.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.14 no.1
• /
• pp.47-58
• /
• 2019

This paper is brought to analyze an impact of coaching activities over entrepreneur with respect to entrepreneurs' personal characteristics on the performance of Startups focusing on entrepreneur's awareness conversion effect. In particular, the situation of falling focus of serious startup failure on uncoachable obstinate entrepreneur among the several causes of startup failures, this paper define the research mission of reducing this risk by inducing coaching types of cooperations between senior entrepreneur having serial successful startup experiences and beginning entrepreneur. This paper carry out literature reviews chiefly on startup coaching researches rather than mentoring studies because coaching stressing on self-oriented problem defining and solving by entrepreneur actively tend to be more effective than mentoring relying on mentor's guideline passively as solving startup's main upcoming problems. This paper implement four related researches. First, the impact analysis of entrepreneur's personal characteristics on coaching activities, second, influences of entrepreneurs environmental factors on them, Third, impact of coaching activities on entrepreneur's awareness conversion effect, Fourth, how strongly this conversion effect contributing on the performance of startup. As results of empirical research, first, this paper prove that entrepreneur's environmental factors impact positively on coaching activities over entrepreneur although failing on validating on significant impact of entrepreneur's personal characteristics on coaching activities. Second, this paper prove that coaching activities positively influence on entrepreneur's awareness conversion, hence ultimately positively on the performance of startups. As conclusion, this paper validate that coaching activities over entrepreneur through inducing on the conversion of entrepreneur's awareness lead entrepreneur to setting the bar high and accountable planning of business milestone. This paper contribute on delivering policy implication that government initiatin action-oriented training program for entrepreneurs should accept the module of coaching session to produce more effective results.

• Journal of Intelligence and Information Systems
• /
• v.24 no.4
• /
• pp.33-49
• /
• 2018

The impact of TV Drama success on TV Rating and the channel promotion effectiveness is very high. The cultural and business impact has been also demonstrated through the Korean Wave. Therefore, the early prediction of the blockbuster success of TV Drama is very important from the strategic perspective of the media industry. Previous studies have tried to predict the audience ratings and success of drama based on various methods. However, most of the studies have made simple predictions using intuitive methods such as the main actor and time zone. These studies have limitations in predicting. In this study, we propose a model for predicting the popularity of drama by analyzing the customer's viewing pattern based on various theories. This is not only a theoretical contribution but also has a contribution from the practical point of view that can be used in actual broadcasting companies. In this study, we collected data of 280 TV mini-series dramas, broadcasted over the terrestrial channels for 10 years from 2003 to 2012. From the data, we selected the most highly ranked and the least highly ranked 45 TV drama and analyzed the viewing patterns of them by 11-step. The various assumptions and conditions for modeling are based on existing studies, or by the opinions of actual broadcasters and by data mining techniques. Then, we developed a prediction model by measuring the viewing-time distance (difference) using Euclidean and Correlation method, which is termed in our study similarity (the sum of distance). Through the similarity measure, we predicted the success of dramas from the viewer's initial viewing-time pattern distribution using 1~5 episodes. In order to confirm that the model is shaken according to the measurement method, various distance measurement methods were applied and the model was checked for its dryness. And when the model was established, we could make a more predictive model using a grid search. Furthermore, we classified the viewers who had watched TV drama more than 70% of the total airtime as the "passionate viewer" when a new drama is broadcasted. Then we compared the drama's passionate viewer percentage the most highly ranked and the least highly ranked dramas. So that we can determine the possibility of blockbuster TV mini-series. We find that the initial viewing-time pattern is the key factor for the prediction of blockbuster dramas. From our model, block-buster dramas were correctly classified with the 75.47% accuracy with the initial viewing-time pattern analysis. This paper shows high prediction rate while suggesting audience rating method different from existing ones. Currently, broadcasters rely heavily on some famous actors called so-called star systems, so they are in more severe competition than ever due to rising production costs of broadcasting programs, long-term recession, aggressive investment in comprehensive programming channels and large corporations. Everyone is in a financially difficult situation. The basic revenue model of these broadcasters is advertising, and the execution of advertising is based on audience rating as a basic index. In the drama, there is uncertainty in the drama market that it is difficult to forecast the demand due to the nature of the commodity, while the drama market has a high financial contribution in the success of various contents of the broadcasting company. Therefore, to minimize the risk of failure. Thus, by analyzing the distribution of the first-time viewing time, it can be a practical help to establish a response strategy (organization/ marketing/story change, etc.) of the related company. Also, in this paper, we found that the behavior of the audience is crucial to the success of the program. In this paper, we define TV viewing as a measure of how enthusiastically watching TV is watched. We can predict the success of the program successfully by calculating the loyalty of the customer with the hot blood. This way of calculating loyalty can also be used to calculate loyalty to various platforms. It can also be used for marketing programs such as highlights, script previews, making movies, characters, games, and other marketing projects.

• Korean Journal of Heritage: History & Science
• /
• v.42 no.1
• /
• pp.100-121
• /
• 2009

This study is subjected to those gardens of the Korean Folk Village 'Oeam-Ri' designed in 1920s. - transitional period of traditional gardens - and define socio-cultural change's influences and through documents on garden design, descendant's testimony and measured drawings, to understand that period's garden culture's characteristics according to garden design elements. This study applied following analysis methods and procedures to derive out characteristics of transitional garden culture. Analysis on socio-cultural characteristics in 1920s. Analysis on actual condition of transitional garden's design. In this point Outline of the Garden, Space formation, Garden designing elements are (1) water landscape, (2) plant, (3) structures, (4) paving, to derive out characteristics of the transitional garden. The results follow as below; First, during the transitional period 1920s, the economical development, fueled by opening nation's door to foreign countries and indication of collapse of statue systems together with idea of practical science and Enlightenment Thought, was element of changes in garden style. Second, Garden Designers of transitional gardens in 'Oeam-Ri' were limited to upper class of the society. They were wealthy enough to maintain their high social statue in rapidly changing society. As results, tendency of returning to nature developed gardens located in a site of scenic beauty and development of geographical features arranging techniques, and also showed copying foreign styles. Third, arrangement of garden and space composition, in most cases, composed of buildings and yards. Changes in water landscape features and garden spaces are centered to main-yard. Major changes of the garden spaces are water landscapes and plants that showing foreign influences. Fifth, scenic appearance techniques appears with dense garden space and emphasizing visual scenic view. Sixth, the characteristics of transitional garden design techniques are development of geographical feature arranging techniques, changes and mixture of the materials and garden types, emphasizing garden's decorative beauty, change of concept of yard within house into garden, changes from 'borrowing of landscapes' to 'selecting landscapes', changes of front garden from emptiness to fullness, changes of attitudes of enjoying gardens from 'staying calm in the garden' to 'moving or walking in the garden', changes to inner-oriented view, and changes from 'just watching and enjoying the nature' to 'enjoying specific objects'. This study is one of the efforts to restore the identity of Korean Traditional Garden by approaching and observing modern era which function as bridge between tradition and present day, and we observed transitional aspects of changes of traditional garden into modern garden. Hereafter, more studies will be needed to Modern Garden Design be recognized as part of Korean Garden Design History and these would be author's next assignment.

• Journal of Intelligence and Information Systems
• /
• v.25 no.3
• /
• pp.1-17
• /
• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

• Korean Journal of Heritage: History & Science
• /
• v.36
• /
• pp.5-38
• /
• 2003

The history of Baekje Kingdom, one of the Three kingdoms, is divided into three periods to the change of sociopolitical center, including its capital as follows: Hanseong Period (18 BC ~ AD 475), Ungjin Period (AD 475~538), and Sabi Period (AD 538~660). Though the Hanseong Period of Baekje Kingdom covers more than two thirds of the whole history of Baekje Kingdom (493 years), history and archaeological culture of the Hanseong Period is still unclear and even ambiguous comparing to the Ungjin and Sabi periods. Most of all, it is because of quite limited historical records and archaeological data available. In addition, negative attitude of the Korean academic circles to the early records of Samguksaki(三國史記) has been a critical obstacle to the study of early history of the Three kingdoms, including the Hanseong Period of Baekje kingdom. Author, who has attempted to combine historical records and archaeological data in order to reconstruct the history and archaeological culture of the early Baekje, specifically the Hanseong Period, has held positive attitude to the early records of the Samguksaki as far as possible. He(Author) came to realize that comprehensive understanding of Mahan (馬韓) society, one of the Three Han (三韓) Society was more than essential in the study of Baekje. According to historical records and archaeological data, Mahan Society represented by Mojiguk(目支國) ruled by King Jin(辰王) has been located in the middle and/or southwestern parts of the Korean peninsula from the 3rd~2nd century BC through the end of the 5th century or early 6th century AD. Mahan already occupied central portion of the Korean Peninsula, including the Han River Valley when King Onjo(溫祖王) first set up the capital of Baekje Kingdom at Wiryeseong (慰 禮城) considered to be modern Jungrang~Songpa-gu area of Han River Valley. From the beginning of the Baekje history, there had been quite close interrelationships between Baekje and Mahan, and the interrelationships had lasted for around 500 years. In other words, it is impossible to attempt to understand and study Hanseong period of Baekje, without considering the historical and archaeological identity of Mahan. According to the Samguksaki, Baekje moved its capital three times during the Hanseong Period (18 BC ~ AD 475) within the Han River Valley as follows: Wiryeseong at Jungrang-gu area of the Han River (河北慰禮城, 18 ~ 5 BC), Wiryeseong at Songpa-gu area of the Han River(河南慰禮城, 5 BC ~ AD 371), Hansan at Iseongsan fortress site(Historical site No. 422, 漢山, AD 371~391), and Hanseong at Chungung-dong of Hanam city(漢城, AD 391~475). Before 1990s, archaeological data of the Hanseong Period was quite limited, and archaeological culture of Mahan was not well defined. Only a few burial and fortress sites were reported to be archaeological remains of the early Baekje, and a few settlement and jar burial sites were assumed to be those of Mahan without clear definition of the Mahan Culture. Since 1990s, fortunately, a number of new archaeological sites of Hanseong Baekje and Mahan have been reported and investigated. Thanks to the new discoveries, there has been significant progress in the study of early Baekje and Mahan. In particular, a number of excavations of Pungnap-dong Fortress site(Historical site NO. 11, 1996~2003), considered to be the Wiryeseong at south of the Han River, the second capital of the Hanseong Baekje, provided critical archaeological evidence in the study of Hanseong Period of Baekje. Since the end of the 1990s, a number of sites have been reported in Gyeonggi, Chungcheong, and Jeolla provinces, as well. From these sites, archaeological features and artifacts representing distinctive cultural tradition of Mahan have been identified such as unstamped fortresses, pit houses cut into the rock, houses with lifted floor(掘立柱 건물), and potteries decorated with toothed wheel and bird's footprint designs. These cultural traditions reflected in the archaeological remains played a critical role to define and understand archaeological identity of the Mahan society. Moreover, archaeological data from these new sites reported in the middle and southwestern parts of the Korean Peninsular made it possible to postulate a hypothesis that the history of Mahan could be divided into three periods to the change of its sociopolitical center in relation with the Baekje Kingdom's political Situation as follows: Cheonan (天安) Period, Iksan(益山) Period, and Naju(羅州) Period. The change of Mahan's sociopolitical center is closely related to the sociopolitical expansion of the Hanseong Baekje.

• Korean Journal of Remote Sensing
• /
• v.35 no.3
• /
• pp.347-358
• /
• 2019

Lambertian cloud model (Lambertian Cloud Model) is the simplified cloud model which is used to effectively retrieve the vertical ozone distribution of the atmosphere where the clouds exist. By using the Lambertian cloud model, the optical characteristics of clouds required for radiative transfer simulation are parametrized by Optical Centroid Cloud Pressure (OCCP) and Effective Cloud Fraction (ECF), and the accuracy of each parameter greatly affects the radiation simulation accuracy. However, it is very difficult to generalize the vertical ozone error due to the OCCP error because it varies depending on the radiation environment and algorithm setting. In addition, it is also difficult to analyze the effect of OCCP error because it is mixed with other errors that occur in the vertical ozone calculation process. This study analyzed the ozone retrieval error due to OCCP error using two methods. First, we simulated the impact of OCCP error on ozone retrieval based on Optimal Estimation. Using LIDORT radiation model, the radiation error due to the OCCP error is calculated. In order to convert the radiation error to the ozone calculation error, the radiation error is assigned to the conversion equation of the optimal estimation method. The results show that when the OCCP error occurs by 100 hPa, the total ozone is overestimated by 2.7%. Second, a case analysis is carried out to find the ozone retrieval error due to OCCP error. For the case analysis, the ozone retrieval error is simulated assuming OCCP error and compared with the ozone error in the case of PROFOZ 2005-2006, an OMI ozone profile product. In order to define the ozone error in the case, we assumed an ideal assumption. Considering albedo, and the horizontal change of ozone for satisfying the assumption, the 49 cases are selected. As a result, 27 out of 49 cases(about 55%)showed a correlation of 0.5 or more. This result show that the error of OCCP has a significant influence on the accuracy of ozone profile calculation.

• Journal of Astronomy and Space Sciences
• /
• v.36 no.1
• /
• pp.21-33
• /
• 2019

This paper focuses on the interpretation of radiation fluxes from active galactic nuclei. The advantage of positron annihilation spectroscopy over other methods of spectral diagnostics of active galactic nuclei (therefore AGN) is demonstrated. A relationship between regular and random components in both bolometric and spectral composition of fluxes of quanta and particles generated in AGN is found. We consider their diffuse component separately and also detect radiative feedback after the passage of high-velocity cosmic rays and hard quanta through gas-and-dust aggregates surrounding massive black holes in AGN. The motion of relativistic positrons and electrons in such complex systems produces secondary radiation throughout the whole investigated region of active galactic nuclei in form of cylinder with radius R= 400-1000 pc and height H=200-400 pc, thus causing their visible luminescence across all spectral bands. We obtain radiation and electron energy distribution functions depending on the spatial distribution of the investigated bulk of matter in AGN. Radiation luminescence of the non-central part of AGN is a response to the effects of particles and quanta falling from its center created by atoms, molecules and dust of its diffuse component. The cross-sections for the single-photon annihilation of positrons of different energies with atoms in these active galactic nuclei are determined. For the first time we use the data on the change in chemical composition due to spallation reactions induced by high-energy particles. We establish or define more accurately how the energies of the incident positron, emitted ${\gamma}-quantum$ and recoiling nucleus correlate with the atomic number and weight of the target nucleus. For light elements, we provide detailed tables of all indicated parameters. A new criterion is proposed, based on the use of the ratio of the fluxes of ${\gamma}-quanta$ formed in one- and two-photon annihilation of positrons in a diffuse medium. It is concluded that, as is the case in young supernova remnants, the two-photon annihilation tends to occur in solid-state grains as a result of active loss of kinetic energy of positrons due to ionisation down to thermal energy of free electrons. The single-photon annihilation of positrons manifests itself in the gas component of active galactic nuclei. Such annihilation occurs as interaction between positrons and K-shell electrons; hence, it is suitable for identification of the chemical state of substances comprising the gas component of the investigated media. Specific physical media producing high fluxes of positrons are discussed; it allowed a significant reduction in the number of reaction channels generating positrons. We estimate the brightness distribution in the ${\gamma}-ray$ spectra of the gas-and-dust media through which positron fluxes travel with the energy range similar to that recorded by the Payload for Antimatter Matter Exploration and Light-nuclei Astrophysics (PAMELA) research module. Based on the results of our calculations, we analyse the reasons for such a high power of positrons to penetrate through gas-and-dust aggregates. The energy loss of positrons by ionisation is compared to the production of secondary positrons by high-energy cosmic rays in order to determine the depth of their penetration into gas-and-dust aggregations clustered in active galactic nuclei. The relationship between the energy of ${\gamma}-quanta$ emitted upon the single-photon annihilation and the energy of incident electrons is established. The obtained cross sections for positron interactions with bound electrons of the diffuse component of the non-central, peripheral AGN regions allowed us to obtain new spectroscopic characteristics of the atoms involved in single-photon annihilation.

• Cross-Cultural Studies
• /
• v.43
• /
• pp.289-326
• /
• 2016

The strategy of "soft power" in the foreign and internal policies of modern Russia is one of the important factors in the implementation of public policies, and the influence of soft power is increasingly becoming stronger and gaining new forms and methods of implementation. The Russian government exerts efforts to form a positive image of Russia in the international arena, in order to strengthen the country's competitiveness, based on active use of "soft power." Currently, Russian cultural policy is developing in two main directions. In the internal policy sphere, the Russian government emphasizes national unity and civic solidarity, and fosters a sense of patriotism and national pride. In the sphere of foreign policy, the Russian government is attempting to regain its status as a great power and to create a new image of Russia that is different from that of the former Soviet Russia. In this article, we examine and analyze various aspects of the hidden political mechanisms involved in mega-sporting events, in particular the Sochi Olympics, from the viewpoint of Russian internal and foreign policy. We address the major functions of mega-sporting events and their influence in the political realm. The political impact of mega-sports projects can even compensate for economic losses incurred during the preparation and hosting of the Olympic games. In this respect, we can define mega-sporting events as one of the main components of soft power; such events reflect the basic directions of internal and foreign policy in post-Soviet Russia, which are to form and promote an image of Russia using national branding. In order to fairly and objectively analyze the recognition and perception held by Russians of the significance of mega-sporting events, in this work, we carefully studied the results of various surveys conducted by the Russian research organization VCIOM (Russian Public Opinion Research Center) before and after Russia hosted the Winter Olympic games in Sochi (2014) and the Summer Olympic games in Kazan (2013). Furthermore, on the basis of the ranking of national brands by Simon Anholt (Anholt Nation Brands Index - NBI), and on the basis of the ranking of 100 national brands conducted by the British consulting company "Brand Finance" (Brand Finance Nation Brands 100), we minutely trace the development and qualitative change in Russia's image and the role of the mega-sporting projects. This article also examines the Kremlin's internal and foreign policies that were successfully carried out in practical terms. This study contributes to the understanding of the value of mega-sporting events from the point of view of cultural policy of the current ruling party of Russia. This standpoint allows us to outline the main directions of Russian cultural policy and to suggest perspectives on the branding strategy of modern Russia, including strategies related to consolidating Russia's position in the international arena.