• Journal of Distribution Science
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• v.10 no.10
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• pp.5-9
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• 2012

Purpose - The purpose of this study is to explore, examine, and analyze Journal of Distribution Science and its articles based on five key factors of journal selection process by Thompson and to provide foundations for further knowledge creation and theory building in the areas of distribution and distribution science. Research design, data, methodology - This study used an exploratory case study method to engage article analysis and reviews of Journal of Distribution Science. Thompson's five journal selection factors were used as criteria for the journal and article analyses and review. Results - Journal of Distribution Science is currently meeting or at least in the progress of meeting the following factors: timeliness of publication, international editorial convention, international diversity, and citation analysis. However, JDS is short of meeting the factor of editorial content. The research topics were not new, emerging, and/or distinctive, and they were not directly associated with specific region or country other than Korea. Conclusions - The findings from this study could lead the field of distribution to reexamine the core knowledge, to reestablish the fundamental concepts and principles, to formulate and propose academically and practically sound research methods, and to develop and focus on unique research topics in the area of distribution.

• Journal of Distribution Science
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• v.22 no.10
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• pp.79-90
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• 2024

Purpose: This study examines the distribution of skincare products through digital channels, focusing on the role of brand awareness within the field of distribution science. As social media platforms like TikTok revolutionize distribution strategies, this research aims to identify the key factors influencing brand awareness in the distribution of skincare products on TikTok. Specifically, the study explores how influencer marketing, content marketing, and electronic word-of-mouth (E-WOM) affect the distribution process by enhancing brand awareness.. Research design, data, and methodology: Employing an explanatory quantitative method, the study surveyed 400 TikTok users exposed to NPURE skincare promotions. Data was collected via Google Forms using non-probability purposive sampling. The analysis was conducted using SmartPLS and Structural Equation Modeling (SEM) to examine the relationships between distribution factors and brand awareness. Results: The findings reveal significant relationships between (1) influencer marketing and brand awareness, (2) content marketing and brand awareness, and (3) electronic word-of-mouth (E-WOM) and brand awareness in the context of skincare product distribution on TikTok. Conclusion: This research contributes to the field of distribution science by demonstrating how digital marketing strategies on TikTok influence brand awareness, consequently impacting the distribution of skincare products. The findings offer insights for optimizing distribution strategies in the digital age, highlighting the significance of influencer partnerships, content creation, and promoting positive E-WOM in digital distribution channels.

• Journal of the Korean Data and Information Science Society
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• v.16 no.3
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• pp.581-589
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• 2005

The purpose of this thesis is to develop and introduce Add-in program which we can systematically, visually and dynamically study discrete probability distribution of binomial distribution, poisson distribution and hypergeometric distribution, and continuous probability distribution of normal distribution, exponential distribution, and the definition and characteristics of t distribution, F distribution and ${\chi}^2$ distribution to be driven from normal distribution, and graphs, the computation process of probability by using VBA which is the device of Excel.

• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.451-456
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• 2005

We introduce the standard two-sided power normal distribution and consider the relation between the probability in standard two-sided power distribution and the probability in standard two-sided power normal distribution and obtain the even moment of the special two-sided power normal distribution including the cases considered by Gupta and Nadarajah(2004)

• Journal of Distribution Science
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• v.20 no.2
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• pp.19-29
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• 2022

Purpose: Understanding the distribution channel is a foundational element of successful hotel revenue management. This study aims to assess hotel distribution network partnerships and develops a model that can be utilized to ensure hoteliers are not becoming increasingly reliant on a single channel, optimize their market exposure, and maximize their portion of the overall worth of the network. Research design, data and methodology: This study utilizes a grounded theory approach to form a theoretical model by analyzing and examining the current practice of hotel distribution management through interviews with 15 stakeholders in Indonesia, such as hoteliers, online travel agents, wholesalers, and connectivity managers. Results: Based on data analysis, we describe hotel distribution elements, revenue team, managed channels, and channel prioritization for a different type of hotel. Finally, we propose a distribution channel model that comprises hotel teams, customer types, indirect channels, and direct channels. Conclusions: The model contributes to the literature by exploring the options of distribution channels for various hotel types to support hotel revenue management practice. By utilizing our model, practitioners can have a complete picture regarding the strategic choice of the channel by considering their hotel capacity and market target.

• Journal of Distribution Science
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• v.21 no.9
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• pp.81-91
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• 2023

Purpose: The article aims to assess the possibilities and contribution of countries to the creation and distribution of knowledge circulating in the scientific and technological space of the EAEU. Research design, data, and methodology: To understand the conditions and possibilities for the distribution of knowledge, the methodology of the quality of economic space used. The space is considered through density, placement, connectedness, and asymmetry. Used bibliometric analysis, balance of payments analysis, and integration indicators. Results: The study showed that low barriers, including language, created visible advantages in the mutual distribution of knowledge. However, the geo-technological space of the EAEU is polarised and has differences in the density and distribution of scientific resources. Asymmetries are shown in the distance between countries in multidirectional trends. Cooperation between countries has a different level of interaction. Conclusions: The internal resources of the geo-technological space of the EAEU are limited, and most of the needs are covered by external sources. Some mechanisms of the scientific policy of countries in scientific careers act as «demotivates» for distributing knowledge within the EAEU. Countries need to improve the quality of services and trade data to better understand technology distribution processes through bilateral channels.

• International Journal of Reliability and Applications
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• v.10 no.2
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• pp.63-79
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• 2009

A new bivariate linear failure rate distribution is introduced through a shock model. It is proved that the marginal distributions of this new bivariate distribution are linear failure rate distributions. The joint moment generating function of the bivariate distribution is derived. Mixtures of bivariate linear failure rate distributions are also discussed. Application to a real data is given.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.459-465
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• 2009

For an inverse double Weibull distribution which is symmetric about zero, we obtain distribution and moment of ratio of independent inverse double Weibull variables, and also obtain the cumulative distribution function and moment of a skew-symmetric inverse double Weibull distribution. And we introduce a skew-symmetric inverse double Weibull generated by a double Weibull distribution.

• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.3910-3917
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• 2021

Reactor fuel's power distribution plays a vital role in designing the new generation thermionic Space Reactor Power Systems (SRPS). In this paper, the 1/12th SPACE-R's full reactor core was numerically analyzed with two kinds of different axial power distribution, to identify their impacts on thermal-hydraulic and thermoelectric characteristics. In the benchmark study, the maximum error between numerical results and existing data or design values ranged from 0.2 to 2.2%. Four main conclusions were obtained in the numerical analysis: a) The axial power distribution has less impact on coolant temperature. b) Axial power distribution influenced the emitter temperature distribution a lot, when the core power was cosine distributed, the maximum temperature of the emitter was 194 K higher than that of the uniform power distribution. c) Comparing to the cosine axial power distribution, the uniform axial power distribution would make the maximum temperature in each component of the reactor core much lower, reducing the requirements for core fuel material. d) Voltage and current distribution were similar to the axial electrode temperature distribution, and the axial power distribution has little effect on the output power.

• Food Science and Biotechnology
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• v.17 no.3
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• pp.659-663
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• 2008

Different statistical distribution functions were examined to find an adequate distribution function to describe the microbial contamination behavior of a Korean side dish product, seasoned soybean sprouts for different seasons and market groups. The triang distribution was the best for any market groups in winter, while the logistic distribution could describe the microbial contamination in log CFU/g for all the market groups in spring and summer. From parametric bootstrapping based on the fitted distributions, it was found that a normal distribution could describe the distribution of mean microbial count in log CFU/g for all the seasons and market groups. Statistical parameters for each season/market group are presented to estimate the confidence interval.