• Asia Marketing Journal
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• v.25 no.3
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• pp.148-159
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• 2023

As Major League Baseball (MLB)'s continuous decline in popularity has caused its game attendance to drop gradually, the league makes a desperate attempt such as game rule changes to remain relevant. Along with the introduction of new rules to make games more dynamic such as the pitch clock, bigger bases, and defensive shift limitations, it is important for MLB franchises to understand drivers for game attendance. We focus on the effect of accumulated winning performance of the two teams on game attendance, one of the key drivers of game attendance, and investigate how it is influenced by consumer and industry factors such as online search and game rule changes. We find that game attendance increases as the prior winning performance of the home (away) team increases (decreases). We also find that online search and rule changes for more dynamic games moderate the effect of winning performance on game attendance.

• Strategy21
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• s.41
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• pp.174-207
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• 2017

Human history shows diverse strategies for survival and prosperity. This study introduces the concept of the expansion of wealth as a key to explain choice and behavior of political entities. American scholar, -Bruce Bueno de Mesquita-, offers theoretical grounds for this concept in that the cores of selectorate theory is settled. The political entity consists of two groups, -the winning coalition that has power to replace leader and non-winning coalition that has not. Leaders implement policies serving for the welfare of winning coalition in return for their loyalty. Both internal problems caused by demographic changes and external ones of climate changes, epidemic disease, or invasion compel leader and winning coalition to adopt policies of expansion that they believe may lead to the acquisition of wealth needed to counter those problems. The process starts by occupying one spot where other entities reside and then connecting it to its own. The line between spots functions as a foothold to form a new line to other spots. By repeating this process, a space is created in which new laws and orders are instated. In the early stage of expansion, war is hardly avoidable. Once finished successfully, the political circumstance tilts to encourage economic activities in order to generate national revenues to strengthen political power of winning coalition. However, as scale of economic activities grows, so does political power of civic classes in production and trade. To gain financial support required to run the political entity, delegation of power or bestowing autonomy to non-winning coalition is inevitable. Thus, expansion is not the ultimate solution, only to prolong the political survival if succeed. Maritime power came to attractive option when overland expansion had become obstructed. It offered much greater advantages in terms of political risks and financial burdens in exploring new regions of precious commodities than overland expansion. Each political entity around world have been, for the first time in human history, connected by maritime means since 15th century. It is worthy of noting that land conditions propelled people out to sea. Political and economic situations created opportunities to exploit geographical position in pursuit of wealth. In the 21st century, we witness the operation of international winning coalition that presides over the rules of expansion. Competing for market is synonymous to the expansion in this era, the cause and aim of it has not been changed though. Energy and dollars are key factors of expansion since the end of the 2nd world war. No matter what the forms and conditions change, naval power is still the most relevant means for expansion as it retains unique characters of maneuver, flexibility, continuity, display and projection of power. The strategy for using naval power should be in line with two different approaches for expansion: Approaches to the international winning coalition by making contribution to world order, and approaches to the non-international winning coalition by enhancing military diplomatic activities. The former will serve our share of winning coalition while the latter will open chances to acquire further prosperity.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.101-107
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• 2015

Modern football has transformed into a scientific football based on data. With this trend, various methods for tactics studies and outcome prediction have been developed on the perspective of data analysis. In this paper, we propose a structural equation model for football game. We analyze critical factors that affect to the winning of game except psychological parts and the causal relationship between latent variables and observed variables is statistically verified through the proposed structural equation model. The results show that the Passing ability and the Ball possession affect to the Attack ability, and consequently it has a positive impact on the winning of game.

• Journal of Arbitration Studies
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• v.7 no.1
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• pp.411-446
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• 1997

This paper reports the results of an experimental companson of the winning rates in arbitral awards between the Korean Commercial Arbitration Board and the Japan Commercial Arbitration Association, and analyzed the comparative advantages of KCAB in international arbitration compared with ICC. There are so many factors to analyze the level of internationalizaton and competitiveness in the arbitration. From the recent lituratures, arbitration experts reported and debated tremendous elements which is vital to have a competition in the international arbitration market. Arbitration factors such as fairness, reliability, awareness, extension, enforcement, inexpensiveness, closed and expedited proceedings, arbitrators, expert knowledge, service, arbitral award, etc. are very important to appraise the level of the globalization and competitiveness of arbitration organizations Using these factors, I appraised current level of the globalization and competitiveness of the Korean Commercial Arbitration Board, unique arbitration organization in South Korea. Next, we are able to compare the level of fairness using the concept of 'winning rate' All over the world, only several arbitration organizations published and opened their own arbitral awards even In anonymity. The Japanese arbitration institutions published it regularly as well as the Korean When compared with these two institutions' "winning rates". there is similiar tendency in favor of domestic corporations That is to say, the winning rates in domestic arbitration cases are greater than those in international arbitration cases. This embarks an implication of unequality, a part of unfairness, in these two countries' arbitration. Finally, an analysis was conducted between the statistics of KCAB and ICC, especially to the focus on the number of arbitration cases, arbitration tribunals, arbitration places, parties' nationalities. the types of contents, the amount of arbitration, arbitration costs. There are two meanings to keep in mind for advancement of Korean arbitration. One is to establish new strategy specializing in small amount arbitration less than US$200,000. The other is to rearrange the panel of arbitration, especially in increasing field of arbitration cases such as the disputes of license, technology transfer, patent, etc.

• 한국체육학회지인문사회과학편
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• v.57 no.4
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• pp.387-394
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• 2018

The purpose of this study is to provide information regarding the strategies by identifying the main variables that determines the winning team based on the records of all games of the 2017 IIHF World Championship Top league. 64 matches were analyzed for the study. 6 variables were analyzed which included ratio of saves, shots on goal, penalties in minutes, time for power play, power play goals, and face off wins. Logistic regression analysis (LRA), multiple regression analysis (MRA), and principal component analysis (PCA) were implemented to examine the relationship between win and loss. In case of LRA, shots on goal (p<.001), face-off wins (p<.001) had significantly positive relation to winning of game whereas, penalties in minutes (p<.01) and time on power play (p<.01) had significantly negative. Using MRA, win percentage was calculated which had significant positive correlation to ratio of saves (p<.01) and face-off wins (p<.001) whereas, a significant negative with penalties in minutes (p<.001). For PCA, the winning team consisted of penalty, attack, and defense factors whereas, losing teams consisted only the attack and defense factors.

• Journal of the Korea Society of Computer and Information
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• v.22 no.7
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• pp.31-37
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• 2017

There are lots of combined battlefield elements which complete the war. It looks problematic when collecting and analyzing these elements and then predicting the situation of war. Commander's experience and military power assessment have widely been used to come up with these problems, then simulated combat training program recently supplements the war-game models through recording real-time simulated combat data. Nevertheless, there are challenges to assess winning factors of combat. In this paper, we characterize the combat element (ce) by clustering simulated combat data, and then suggest multi-layered artificial neural network (ANN) model, which can comprehend non-linear, cross-connected effects among ces to assess mission completion degree (MCD). Through our ANN model, we have the chance of analyzing and predicting winning factors. Experimental results show that our ANN model can explain MCDs through networking ces which overperform multiple linear regression model. Moreover, sensitivity analysis of ces will be the basis of predicting combat situation.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.18-24
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• 2022

State highway agencies (SHAs) typically apply a competitive procurement procedure to select contractors for their design-bid-build projects. Since the level of competition affects construction bid prices and project outcomes, the Federal Highway Agency (FHWA) suggests SHAs seek ways to improve competition among contractors continuously. However, they rarely conduct an empirical assessment of the current competition level necessary to identify room for improvement. Besides the number of bidders on a project, other factors such as winning or losing rates among the contractors in previous projects can also indicate the degree of competition; only a few contractors may have won the majority of the projects in a specific region. However, few studies have investigated such factors. This paper proposes a network analysis-based approach to evaluating contractor competition levels of highway projects using historical bid tabulation data. The proposed method provides insights into overall competition levels, the determination of competitive contractors, and winning rate distribution among contractors.

• Journal of the Korean Home Economics Association
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• v.40 no.12
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• pp.85-108
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• 2002

The objectives of this study were to investigate the trend of the attitude and the behavior about consumer's internet premium advertisement and its application and the factors which influence on the attitude and the behavior about consumer's premium advertisement and its application; the demographic variables, internet communication-environment variables and variables in relation to consumer's premium advertisement application. For these purpose, the data collected two way: internet survey and questionnaire survey. The data used in this study included people who have looked an internet Premium Advertisement more than once during internet use. Major findings were as following: (1) The attitude of internet premium advertisement and its application could be described as the mean 34.16 md 24.61 separately(3.11 and 2.73 point on 5.00 points scale). The behavior of application about internet premium advertisement was measured as a behavior of application whether or not; application 18.7% and unapplication 81.3%. (2) The attitude of application about internet premium advertisement was significantly different according to age, joining frequency on internet, past experience of winning a premium, purchasing information search, interesting connection on the internet, the risk about the money loss and negative evaluation of other persons, the economical values of premiums, winning possibility, and preferable premiums. The behavior of application about internet premium advertisement, the behavior of application whether or not was significantly different according to sex, age, school career, a circuit speed, a period of using, joining frequency and a using place, past experience of winning a premium, purchasing information search, interesting connection on the internet, the risk about the negative evaluation of other persons, the economical values of premiums, winning possibility, and preferable premiums. (3) When looking at the influence of variables about the attitude of application about internet premium advertisement, the most influence variables was the past experience of winning a premium, and next was winning possibility, sex, the interest about the premiums which made the consumer want to apply, the economical values of premiums, the purpose of purchase information search and the using time. The explanation of those variables were 22.6%. As the result of the Logistic analysis, it was found that the frequency of the internet connection, the past experience of winning premiums, the risk about the outflow of credit information, interesting premiums, and premium advertisement were the most important variables to affect the possibility of the behavior of application about internet premium advertisement critically.

• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.159-170
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• 2011

In procurement auctions, auction frequency and transaction volume per auction have been analyzed as important factors in determining auction performance. However, there is no empirical study on the effect of auction frequency and transaction volume in procurement auction. Current studies mainly focus on bidder behavior analysis and new system design in procurement auction. In the study, we analyze the effect of two factors on relative winning price empirically by using real auction data from MRO procurement outsourcing company in Korea. From the results, we find the winning price is lower when the frequency of auction with same item category is lower. The low frequency of auctions means participating bidders have limited information of previous auctions and they bid their best price to win the current auction due to less opportunity of reopening the auction in near future. The larger purchase amounts of MRO items didn’t results in lower winning price, contrary to our hypothesis. The possible reason is that the price of MRO items already reflects the economy of scales and the increased volume per auction do not cause the further discount of MRO items from the auction.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.8-17
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• 2014

In this research, we employed various data mining techniques to build predictive models for win-loss prediction in Korean professional baseball games. The historical data containing information about players and teams was obtained from the official materials that are provided by the KBO website. Using the collected raw data, we additionally prepared two more types of dataset, which are in ratio and binary format respectively. Dividing away-team's records by the records of the corresponding home-team generated the ratio dataset, while the binary dataset was obtained by comparing the record values. We applied seven classification techniques to three (raw, ratio, and binary) datasets. The employed data mining techniques are decision tree, random forest, logistic regression, neural network, support vector machine, linear discriminant analysis, and quadratic discriminant analysis. Among 21(= 3 datasets${\times}$7 techniques) prediction scenarios, the most accurate model was obtained from the random forest technique based on the binary dataset, which prediction accuracy was 84.14%. It was also observed that using the ratio and the binary dataset helped to build better prediction models than using the raw data. From the capability of variable selection in decision tree, random forest, and stepwise logistic regression, we found that annual salary, earned run, strikeout, pitcher's winning percentage, and four balls are important winning factors of a game. This research is distinct from existing studies in that we used three different types of data and various data mining techniques for win-loss prediction in Korean professional baseball games.