• Title/Summary/Keyword: Asset distribution

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Information Distribution of Sport Social Networking Sites: Their Use in Promoting Psychological Well-Being

  • Seung Hwan PARK;Min Soo KIM;Miok KIM;Seungmin LEE;Taeyeon OH;Sun Ju KIM;Won Jae SEO
    • Journal of Distribution Science
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    • v.22 no.3
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    • pp.83-92
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    • 2024
  • Purpose: With the rapid information distribution of sport-related SNS, sport industry has utilized SNS as technical solution to distribute sport and health-related information. The current study examined the effect of SNS information use for running-specific content on running engagement and psychological well-being. Research design, data and methodology: Data were collected via online survey of participants in marathon events of United States. Descriptive statistics and Chi-square test were conducted to compare demographics and psycho-behavioral outcomes among SNS information users and non-users for running-specific contents. Multivariate hierarchical regression was next employed to examine research hypotheses. Results: A mass-participant running event was used to test seven hypotheses related to the potential role of SNS for running content in promoting running engagement and life satisfaction. In general, findings revealed that use of SNS for running content along with frequency of use can perhaps facilitate running intensity and influence participation in running-related outdoor activities. Furthermore, while overall life satisfaction did not appear to be influenced by use of SNS for running content, there was a demonstrated influence on the individual satisfaction domains. Conclusions: The findings of current study suggest that sport SNS is information distribution media enhancing users' engagement and their six life satisfaction domains. Further implications were discussed.

An Improved Spatial Electric Load Forecasting Algorithm (개선된 지역수요예측 알고리즘)

  • Nam, Bong-Woo;Song, Kyung-Bin
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2007.05a
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    • pp.397-399
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    • 2007
  • This paper presents multiple regression analysis and data update to improve present spatial electric load forecasting algorithm of the DISPLAN. Spatial electric load forecasting considers a local economy, the number of local population and load characteristics. A Case study is performed for Jeon-Ju and analyzes a trend of the spatial load for the future 20 years. The forecasted information can contribute to an asset management of distribution systems.

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Noninformative Priors for the Common Shape Parameter in the Gamma Distributions

  • Kang, Sang-Gil;Kim, Dal-Ho;Lee, Woo-Dong
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.1
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    • pp.247-257
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    • 2007
  • In this paper, we develop the noninformative priors for the common shape parameter in the gamma distributions. We develop the matching priors and reveal that the second order matching prior does not exist. It turns out that the one-at-a-time reference prior and the two group reference prior satisfy a first order probability matching criterion. Some simulation study is peformed.

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OBJECTIVE BAYESIAN APPROACH TO STEP STRESS ACCELERATED LIFE TESTS

  • Kim Dal-Ho;Lee Woo-Dong;Kang Sang-Gil
    • Journal of the Korean Statistical Society
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    • v.35 no.3
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    • pp.225-238
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    • 2006
  • This paper considers noninformative priors for the scale parameter of exponential distribution when the data are collected in step stress accelerated life tests. We find the Jeffreys' and reference priors for this model and show that the reference prior satisfies first order matching criterion. Also, we show that there exists no second order matching prior in this problem. Some simulation results are given and we perform Bayesian analysis for proposed priors using some data.

Bayesian Multiple Comparison of Binomial Populations based on Fractional Bayes Factor

  • Kim, Dal-Ho;Kang, Sang-Gil;Lee, Woo-Dong
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.1
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    • pp.233-244
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    • 2006
  • In this paper, we develop the Bayesian multiple comparisons procedure for the binomial distribution. We suggest the Bayesian procedure based on fractional Bayes factor when noninformative priors are applied for the parameters. An example is illustrated for the proposed method. For this example, the suggested method is straightforward for specifying distributionally and to implement computationally, with output readily adapted for required comparison. Also, some simulation was performed.

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Design of an Avatar Assembly System based on a Commercial Game Engine (상용 게임엔진 기반의 아바타 조립 시스템의 설계)

  • Kim, Byung-Cheol;Roh, Chang Hyun
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.489-494
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    • 2016
  • Developing 3D games of quality is getting easier as commercial game engines have significantly evolved. It is still difficult, however, for entry-level developers to create various avatars which could affect the entire game because it requires expertise in 3D design and programming. We propose a design of an avatar assembly system based on a commercial game engine, Unity. It includes the assembly, customization, and management of avatars. It also provides an avatar update mechanism via the World Wide Web(WWW) provided by Unity's asset system so that various avatars can be supplied after the initial game distribution.

The Effect of R&D Expenditures on Market Value of the Firm: Focusing on Distribution Industry (연구개발투자 지출이 기업의 시장가치에 미치는 영향: 유통산업을 중심으로)

  • Kim, Jin-Hoe
    • Journal of Distribution Science
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    • v.17 no.1
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    • pp.89-94
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    • 2019
  • Purpose - In recent digital information society, the most important factor of to increase the firm value of the distribution company is not the activity to increase the sales through the general advertisement of the unspecified majority by purchasing the finished product, but to grasp the needs of the consumers and to develop a new distribution platform that connects producers and consumers directly through consumer-tailored advertisements centering on e-commerce. Therefore each company in the distribution industry is spending a lot on research and development investment to innovate the distribution technology and distribution system, and the research and development investment expenditures can affect firm value. The purpose of this study is to analyze the impact of research and development investment expenditures in the distribution industry on market value of the firm. Research design, data, and methodology - As a research method, the sample firms are those which are listed on korea stock exchange market from 2011 to 2017 and the research model is Ohlson(1995) model, which is a representative valuation model using accounting information. This study analyzes the effect of distribution company's research and development investment expenditures and advertising expenditures on market value of the firm Results - The results of empirical analysis show that research and development investment expenditures for developing new distribution technology and advertising expenditures for promoting sales in the distribution company are all positively related to the market value of firm. Therefore, in describing market value of the distribution company, it is shown that the research and development investment expenditures and advertising expenditures together with the net asset and net profit are the important accounting information that explains the market value of firm. This result show that investment expenditures on research and development for the innovation of distribution technology of distribution company creates intangible intellectual assets and increases market value of the firm. Conclusions - The result of this study shows that research and development investment expenditures for the new distribution technology as well as the spending for the advertisement in the future is a very important investment expenditures that can increase the market value of the distribution company.

Can the Skewed Student-t Distribution Assumption Provide Accurate Estimates of Value-at-Risk?

  • Kang, Sang-Hoon;Yoon, Seong-Min
    • The Korean Journal of Financial Management
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    • v.24 no.3
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    • pp.153-186
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    • 2007
  • It is well known that the distributional properties of financial asset returns exhibit fatter-tails and skewer-mean than the assumption of normal distribution. The correct assumption of return distribution might improve the estimated performance of the Value-at-Risk(VaR) models in financial markets. In this paper, we estimate and compare the VaR performance using the RiskMetrics, GARCH and FIGARCH models based on the normal and skewed-Student-t distributions in two daily returns of the Korean Composite Stock Index(KOSPI) and Korean Won-US Dollar(KRW-USD) exchange rate. We also perform the expected shortfall to assess the size of expected loss in terms of the estimation of the empirical failure rate. From the results of empirical VaR analysis, it is found that the presence of long memory in the volatility of sample returns is not an important in estimating an accurate VaR performance. However, it is more important to consider a model with skewed-Student-t distribution innovation in determining better VaR. In short, the appropriate assumption of return distribution provides more accurate VaR models for the portfolio managers and investors.

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Distribution of the Tax Burden across Companies in Vietnam: The Issue of Corporate Tax Avoidance

  • Kien Trung TRAN
    • Journal of Distribution Science
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    • v.21 no.6
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    • pp.83-89
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    • 2023
  • Purpose: This paper considers the issue of corporate tax avoidance (CTA) in the distribution of the tax burden across companies in Vietnam because the high level of CTA leads to unfairness in taxation. In particular, we aim for discussing the way to measure the extent of CTA and explore the determinants of CTA that reflect the features of high-tax risk-taking companies. Research design, data and methodology: The study investigates factors influencing the CTA behavior of legal entities listed on the Vietnam stock market between 2012 and 2018 to fill the empirical research vacuum in the country. we employ the dynamic GMM estimate method. Interestingly, CTA is considered through three approaches, including two effective-tax-rate-based methods and especially accrual earnings Results: The results highlight tax - accounting book disparities have significant effects on CTA. In addition, firm size, net asset value, debt leverage, and tax-accounting books are related to CTA. Conclusions: Tax avoidance is shown to have a positive correlation with financial distress in this case. The higher a company's capital adequacy ratio, the fewer tax avoidance opportunities it has. The paper draws some recommendations to deal with tax avoidance that improves the fairness in the distribution of the tax burden among corporations.