• Journal of Distribution Science
• /
• v.15 no.9
• /
• pp.17-26
• /
• 2017

Purpose - This study aims to present ways to secure capable employees by examining key factors of internal marketing applicable to the jewelry distribution business and analyzing the relations among organizational commitment, job satisfaction, and turnover intentions among employees who play important roles in jewelry distributors. Research Design, data, and methodology - To examine these research models, samples were collected from 210 individuals working in jewelry distribution companies. The analysis was conducted by the use of a questionnaire method among employees in jewelry distribution companies. SPSS 18.0 were utilized for data analysis. Results - Among internal marketing components of jewelry distribution companies, the two factors - management support and reward system - have positive (+) effect on organizational commitment and while internal communication and education/training have negative (-) effect on employees' turnover intention. Jewelry distribution company employees' job satisfaction and organizational commitment have negative (-) effect on their turnover intention. Conclusions - This is an exploratory study that aims to find out ways to prevent employee turnover in the perspective of jewelry distribution companies' organizational measure - internal marketing. The future study needs to present more sophisticated strategies of internal marketing based on in-depth analysis of specific causes that make employees at jewelry distribution companies leave the occupations.

• Journal of Distribution Science
• /
• v.22 no.1
• /
• pp.115-125
• /
• 2024

Purpose: This study is to analyze the purchasing process and distribution management requirements for teaching materials that have important meaning in the practical field of preschool education. Research design, data and methodology: A structured questionnaire was used to survey 103 childcare staffs regarding the purchasing process and distribution managements. The collected data underwent Likert's 5-point scale analysis and keyword grouping. Additionally, ANOVA was conducted to examine the distribution management demands based on demographic characteristics. Results: The purchasing of teaching materials involved more offline channels than online, and the purchase decisions were predominantly made by principals rather than teachers. Although the purchasing process is similar to that of general businesses, there are difficulties in purchasing due to the disorganized distribution channels and limited accessibility to product information. Additionally, the management of inventory for teaching materials is challenging due to limited personnel and storage. Childcare staffs have requirements for classification systems, evaluation criteria, environments and policies related to teaching materials distribution. The need to introduce a teaching material evaluation and certification system to ensure quality was not high. Conclusions: Most of the respondents recognized that strict management and measures should be taken for the distribution of teaching materials. There were differences in the demand of teaching material distribution depending on the respondents' status, age, education, and experience.

• Journal of Distribution Science
• /
• v.22 no.5
• /
• pp.27-37
• /
• 2024

Purpose: Evaluating hotel performance is crucial in the tourism industry, and expanding knowledge through value-centric innovation in distribution is approached from the service-dominant logic perspective. This study aims to explore and enhance understanding of efforts to improve hotel performance by introducing a new concept of significant value-centric innovation in distribution. A novel proposition is presented, synthesizing diverse marketing innovations through the lens of service-dominant logic to foster originality. Research Design, Data, and Methodology: Data from 166 respondents across various levels of hotel structural positions in Indonesia were analyzed using SEM-PLS. The relationship between market orientation and hotel performance was explored using the SEM-PLS technique. Results: The findings indicate that market orientation contributes to enhancing hotel performance. Additionally, value-centric innovation in distribution is crucial in addressing inconsistencies observed in previous studies and indicators related to variables significantly affecting hotel performance. Moreover, value-centric innovation in distribution directly improves performance indicators. Conclusions: The practical implication of this research is leveraging market orientation to enhance hotel performance. Hotel owners are encouraged to effectively implement value-centric innovation in distribution by fostering collaboratively generated shared value creation.

• Journal of the Korean Data and Information Science Society
• /
• v.9 no.2
• /
• pp.165-172
• /
• 1998

This paper considers a linear regression model with censored data where each error term follows a multivariate normal distribution. In this paper we consider the diffuse prior distribution for parameters of the linear regression model. With censored data we derive the full conditional densities for parameters of a multiple regression model in order to obtain the marginal posterior densities of the relevant parameters through the Gibbs Sampler, which was proposed by Geman and Geman(1984) and utilized by Gelfand and Smith(1990) with statistical viewpoint.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.5
• /
• pp.400-405
• /
• 2013

The purpose of this study is to develop a composite platform for knowledge extractions, visualizations, and inference. Generally, the big data sets were frequently used in the healthcare and medical area. To help the knowledge managers/users working in the field, this study is focused on knowledge management (KM) based on Data Mining (DM), Knowledge Distribution Map (KDM), Decision Tree (DT), RDBMS, and SQL-inference. The proposed mechanism is composed of five key processes. Firstly, in Knowledge Parsing, it extracts logical rules from a big data set by using DM technology. Then it transforms the rules into RDB tables. Secondly, through Knowledge Maintenance, it refines and manages the knowledge to be ready for the computing of knowledge distributions. Thirdly, in Knowledge Distribution process, we can see the knowledge distributions by using the DT mechanism.Fourthly, in Knowledge Hierarchy, the platform shows the hierarchy of the knowledge. Finally, in Inference, it deduce the conclusions by using the given facts and data.This approach presents the advantages of diversity in knowledge representations and inference to improve the quality of computer-based medical diagnosis.

• 한국방재학회:학술대회논문집
• /
• 2008.02a
• /
• pp.585-588
• /
• 2008

KICT has been carried out inventory research on the cut slopes of national roads. Inventory research results are basic data using cut slope management system. Inventory data are classified by general status, cut slope characteristics and inspector opinion. Inventory data are utilized to figure out dangerous slopes and decide survey ranking of detailed safety diagnostication. This paper drew the distribution area of dangerous cut slopes using inventory data in Chungcheongdo, and verified efficiency on distribution area of dangerous cut slopes by comparing occurrence frequency of real collapsed cut slopes.

• Journal of Distribution Science
• /
• v.16 no.6
• /
• pp.77-84
• /
• 2018

Purpose - The aim of this study was to analyze the educational needs of distribution company salespeople in core competencies for convergence and their general perception of convergence education. Furthermore, this study provides basic data on core competencies for convergence needed by them. Research design, data, and methodology - A survey was conducted on 104 distribution company salespeople who worked near Seoul, Korea to analyze the perceptions of their educational needs in core competencies for convergence education, according to their socio-demographic characteristics. The socio-demographic characteristics were gender, age, workplace size, education background, work experience and business category. The questionnaire consisted of demographic factors (7 questions), general perception of convergence education (5 questions), perception of importance of core competency for distribution company salespeople (9 questions), and current perception of distribution company salespeople on core competency of convergence workers (9 questions). Park et al.(2014)'s categorization of convergence core competencies was used: Cognitive convergence (creative thinking, critical thinking and understanding of convergence knowledge), convergence performance (problem solving, communications, collaboration and application of convergence tools) and attitude toward convergence (empathy and responsibility). Data was collected through an independent sample of t-tests and a one-way analysis of variance and the Borich Needs Assessment Model was used to identify the educational needs of distribution company salespeople in the core competencies of convergence education. Results- The results show that the subjects recognized the need for convergence education to be high among the general perceptions. The perception scores for workers of different backgrounds only varied according to the size of the business. Moreover, the results of the educational needs analysis and the ranks of the required core competencies of convergence workers by the subjects were as follows: 1. convergence knowledge understanding competency, 2. creative thinking competency, 3. convergence tool application competency, 3. communications competency, 4. problem solving competency, 5. collaboration competency, 6. critical thinking competency, 7. empathy competency, 8. responsibility competency. Conclusions - This study highlights the necessity of developing university curriculum that can nurture the core competencies of conversion education reflecting distribution company salespeople's requests as well as cultivating qualified convergence workers required by distribution company workers.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.10 no.4
• /
• pp.85-92
• /
• 2002

To investigate the safety of the in-use vehicles emission against the tail-pipe emission regulation, in-use vehicles emission trend according to vehicle mileage should be known. But it is impossible to collect all vehicles emission data In order to know that. Therefore, it is necessary to establish a statistically meaningful inference method that can be used generally to estimate in-use vehicles emissions distribution according to the vehicle mileage with relatively less in-use vehicles emission data. To do this, a linear regression model that solved the problems of data normality and common variance of error was studied. As a way that can secure the data normality, In(emission) instead of emission itself was used as a sampled data. And a reciprocal of mileage was suggested as a factor to secure common variance of error. As an example, 36 data of FTP-75 test were handled in this study. As a result, using average value and standard deviation at each mileage which were inferred from a linear regression model, probability density distribution and cumulative distribution of emissions according to the vehicle mileage were obtained and it was possible to predict the deterioration factor through full useful life mileage and also possible to decide whether those in-use vehicles will meet the tail-pipe emission regulations or not.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.132-132
• /
• 2021

Access to accurate spatial precipitation in many hydrological studies is necessary. Existence of many mountains with diverse topography in South Korea causes different spatial distribution of precipitation. Rain gauge stations show accurate precipitation information in points, but due to the limited use of rain gauge stations and the difficulty of accessing them, there is not enough accurate information in the whole area. Weather radars can provide an integrated precipitation information spatially. Despite this, weather radar data have some errors that can not provide accurate data, especially in heavy rainfall. In this study, some location-based variable like aspect, elevation, plan curvature, profile curvature, slope and distance from the sea which has most effect on rainfall was considered. Then Automatic Weather Station data was used for spatial training of variables in each event. According to this, K-fold cross-validation method was combined with Adaptive Neuro-Fuzzy Inference System. Based on this, 80% of Automatic Weather Station data was used for training and validation of model and 20% was used for testing and evaluation of model. Finally, spatial distribution of precipitation for 1×1 km resolution in Gwangdeoksan radar station was estimates. The results showed a significant decrease in RMSE and an increase in correlation with the observed amount of precipitation.

• Journal of Distribution Science
• /
• v.11 no.2
• /
• pp.45-55
• /
• 2013

Purpose - The development and implementation of OSS (Open Source Software) led to a dramatic change in corporate IT infrastructure, from system server to smart phone, because the performance, reliability, and security functions of OSS are comparable to those of commercial software. Today, OSS has become an indispensable tool to cope with the competitive business environment and the constantly-evolving IT environment. However, the use of OSS is insufficient in small and medium-sized companies and software houses. This study examines the need for OSS Intermediaries in the Software Distribution Channel. It is expected that the role of the OSS Intermediary will be reduced with the improvement of the distribution process. The purpose of this research is to prove that OSS Intermediaries increase the efficiency of the software distribution market. Research design, Data, and Methodology - This study presents the analysis of data gathered online to determine the extent of the impact of the intermediaries on the OSS market. Data was collected using an online survey, conducted by building a personal search robot (web crawler). The survey period lasted 9 days during which a total of 233,021 data points were gathered from sourceforge.net and Apple's App store, the two most popular software intermediaries in the world. The data collected was analyzed using Google's Motion Chart. Results - The study found that, beginning 2006, the production of OSS in the Sourceforge.net increased rapidly across the board, but in the second half of 2009, it dropped sharply. There are many events that can explain this causality; however, we found an appropriate event to explain the effect. It was seen that during the same period of time, the monthly production of OSS in the App store was increasing quickly. The App store showed a contrasting trend to software production. Our follow-up analysis suggests that appropriate intermediaries like App store can enlarge the OSS market. The increase was caused by the appearance of B2C software intermediaries like App store. The results imply that OSS intermediaries can accelerate OSS software distribution, while development of a better online market is critical for corporate users. Conclusion - In this study, we analyzed 233,021 data points on the online software marketplace at Sourceforge.net. It indicates that OSS Intermediaries are needed in the software distribution market for its vitality. It is also critical that OSS intermediaries should satisfy certain qualifications to play a key role as market makers. This study has several interesting implications. One implication of this research is that the OSS intermediary should make an effort to create a complementary relationship between OSS and Proprietary Software. The second implication is that the OSS intermediary must possess a business model that shares the benefits with all the participants (developer, intermediary, and users).The third implication is that the intermediary provides an OSS of high quality like proprietary software with a high level of complexity. Thus, it is worthwhile to examine this study, which proves that the open source software intermediaries are essential in the software distribution channel.