• Journal of Distribution Science
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• v.21 no.5
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• pp.19-29
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• 2023

Purpose: The study's primary objective was to pinpoint the variables impacting consumers' impulsive purchasing decisions in the distribution centers in Kathmandu, the capital city of Nepal. Research design, data, and methodology: The independent variables used to identify consumer impulse buying behavior were the in-store displays, store employee behavior, reference groups, and promotional activities. A 6-point Likert scale questionnaire was employed for collecting the primary data from customers at the retail center of Kathmandu. The study's sample size was 396, employing a convenient sampling method. Statistical Package for the Social Sciences (SPSS) and Analysis of a Moment Structures (AMOS) have been used to show the relationships between dependent and independent variables. Results: The outcome of the path analysis using structural equation modeling demonstrates that in-store displays, reference groups, and store employees' behavior significantly influence the customers' impulse buying decisions in the distribution center. Additionally, it has been discovered that promotional activities have no significant impact on consumers' impulsive purchasing decisions made at the retail center of Kathmandu. Conclusions and Implications: The study's findings indicate that the actions of store personnel, reference groups, and in-store displays significantly contribute to the acceleration of impulsive purchases. Such findings provide researchers and business executives with a road map for the future.

• Journal of Distribution Science
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• v.21 no.9
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• pp.55-66
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• 2023

Purpose: Specialized marketing strategies are needed by limited resources, such as Entrepreneurial Marketing (EM), a marketing activity based on specific conditions characterizing village-owned enterprises (VOEs). Therefore, this research aimed to examine the effect of EM on the financial and non-financial performance of VOEs in Indonesia. Research design, data and methodology: Data were collected by distributing questions on a 5-point Likert scale to 153 VOEs directors in Rokan Hulu District, Indonesia. The collected data were analyzed using the partial least squares structural equation model with SmartPLS 3.0. Results: The results showed that EM positively and significantly affected the financial and non-financial performance of VOEs, as well as on operational performance. Conclusions: EM played an important role in the improvement of many aspects of the performance of VOEs. The Indonesian government also need to consider EM various characteristics when recruiting directors. It is important to note that this research is the first to examine the impact of EM on VOEs.

• Journal of Distribution Science
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• v.19 no.9
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• pp.41-52
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• 2021

Purpose: Virtual reality is a unique technology to distribute data and demonstrates user's understanding towards complex products. The objective of this research is to investigate the impact of virtual reality on real world purchase intention of automotive cutting tools in Thailand's exhibitions. Hence, the research framework was constructed by telepresence, perception narrative, authenticity, trustworthiness, functional value, aesthetics, and purchase intention. Research design, data and methodology: Samples were collected from 500 visitors who participated in the selected top two metalworking exhibitions. Mix sampling approach is applied by using non-probability sampling methods of purposive or judgmental sampling, quota sampling, and convenience sampling method, respectively to reach target samples. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used to analyze and confirm goodness-of-fit of the model and hypothesis testing. Results: The results indicate that authenticity, functional value, and trustworthiness induced higher experiential value towards purchase intention. Those variables are stimulated by telepresence and perception narrative towards VR experience. Conclusions: Consumer's purchase intention towards VR experience on engineering cutting tools rely on consumer's sense of authenticity, trustworthiness, and functional value. Hence, marketing practitioners in automotive companies are encouraged to develop VR which focusing on significant factors to enhance consumers purchase intention.

• The Korean Journal of Franchise Management
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• v.13 no.3
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• pp.17-30
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• 2022

Purpose: Recent emergence of diverse businesses in the distribution industry has led small and medium-sized retailers and their distribution logistics centers to face difficulties. Transactions between companies are connected within a supply chain, and the companies have relationships in the form of a supplier and a buyer. Therefore, it is important to identify causes of problems among companies through supply chain and strategic partnerships, thus developing optimal management plans and maximizing performances of companies. This study proposes that sustainable supply chain management consists of product quality, price quality, distribution quality, and promotion quality based on stakeholder theory and resource-based view. This study examined the impacts of sustainable chain management factors on satisfaction and win-win cooperation. Research design, data, and methodology: In the proposed model, satisfaction plays a mediating role in the relationship between sustainable chain management and win-win cooperation. The data were collected from 245 owners who use small and medium-sized distribution logistics center and analyzed using 2SLS (two-stage least square) with SPSS 28.0. Exploratory factor analysis and correlation analysis were used to assess the validity and reliability of constructs. Results: The findings are as follows. In the case of the total and Nadeulgage samples, product, price, and distribution quality had a significant positive effect on satisfaction, but in the case of Neighborhood super, product and price quality have a significant positive effect on satisfaction. Satisfaction has a significant positive effect on win-win cooperation in the overall, Nadeulgage, and Neighborhood super. Satisfaction plays a partial or full mediating role in the case of total, Nadeulgage, Neighborhood super. Conclusions: This study emphasized the need for sustainable supply chain management of small and medium-sized distribution logistics centers by examining the relationship between small and medium-sized distribution logistics centers and chain stores. It was found that store satisfaction plays an important role in the win-win cooperation between small and medium-sized distribution logistics centers and chain stores. Small and medium-sized distribution logistics centers can maximize product quality, price quality, distribution quality, and promotion quality by understanding the effect of chain store-related satisfaction and win-win cooperation on chain stores.

• Journal of Advanced Navigation Technology
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• v.28 no.2
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• pp.210-215
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• 2024

With increasing automation in ships and the development of autonomous ships, an IPMS (Integrated Platform Management System) in ship needs to integrate and process large amounts of real-time data from various equipment operating on different operating systems. A ship IPMS simulator based on data distribution service (DDS) was developed and its performance was evaluated to handle data processing similar in real ship environment. Errors were monitored while 1,000 topics/sec were asynchronously published and subscribed from data acquisitive units (DAUs) and an IPMS server operating on different operating systems. Except for the loss of some topics during the initial 4 seconds, topics were received without an error thereafter. The developed simulator demonstrates the feasibility of using DDS to integrate various control systems using different operating systems in actual ships.

• Journal of Distribution Science
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• v.15 no.12
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• pp.21-30
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• 2017

Purpose - This research approaches to the new niche market of medical tourism to investigate how factors of cultural similarity influence the international distribution management. This study also estimates the interaction effects of distribution channel on the relationships of facility attributes and customers' destination choice behavior. Research design, data, and methodology - We collected the sample of 881 potential customers from the more economically developed regions in China. Regression analysis is used to confirm the relationships in the research model. Results - The result shows that cultural similarity plays an important moderating role in the relationships of facility attributes and destination choice intention. For instance, power distance and masculinity interact with the distribution facility characteristics of medical quality and reputation to influence customers' selection of the destination country. Individualism, powder distance, and masculinity play moderating roles when social environment affects destination choice intention. Especially, all the elements of cultural similarity moderate the relationships between travel cost and destination choice intention. This research also proves that depending on distribution channel, determinants of distribution facility are the critical predictors of intention to select the medical service outside of China. Conclusions - The study enables managers to develop the more effective strategies reflecting the interaction effects of cultural similarity and distribution channel on customers' decision-making process.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.27 no.9
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• pp.83-89
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• 2013

Power distribution system has been changed from radial system to closed loop or mesh system due to connection of distributed generation growth. Data from distribution equipments which are installed at distribution line is required to be accurate for the performance of DMS(Distribution Management System). This paper analyzes the voltage measurement data from distribution equipment. However, the results of the analysis are confirmed to have some errors in voltage measurement data from distribution equipment. These errors come from aging of voltage sensor in distribution equipment and inaccurate data transfer to FRTU(feeder remote terminal unit) through the controller. The main problem is that the voltage measurement data of distribution equipment can not be assessed after it's first installation at the distribution line. The voltage measurement accuracy assessment system is to assess the voltage measurement data from distribution equipment on hot-line. This study had a field test to verify the performance of system.

• Journal of Distribution Science
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• v.20 no.4
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• pp.95-100
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• 2022

Purpose: This study aimed to investigate whether distribution and service companies maintained their accounting information quality and provided reliable information despite the economic changes occurring after the outbreak of the COVID-19 pandemic in Korea. The distribution industry has enjoyed increased demand as many companies expanded their untact distribution channels, including to online sales. However, as the pandemic drags on, their future prospects remain uncertain. Research design, data, and methodology: In this study, we define 2018-2019 as the "pre COVID-19 period" and 2020 as the "post COVID-19 period." An empirical analysis was performed using a regression model that includes POST, the independent variable, indicating the post COVID-19 period, and discretionary accruals(DA), a proxy for earnings management, as a dependent variable. Results: The analysis shows that the coefficient of POST is significantly positive (+) for the dependent variable DA. This finding suggests that distribution and service companies engaged in more earnings management during the post COVID-19 period than during the pre COVID-19 period, indicating their awareness of the uncertainty of future business performance as the pandemic persists. An additional analysis confirmed that smaller companies with fewer stakeholders and higher information asymmetry tend to engage more in earnings management than larger companies.

• Journal of Industrial Convergence
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• v.20 no.3
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• pp.41-46
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• 2022

This paper proposes a consumer-tailored solution to prevent the forgery and falsification of data by incorporating blockchain technology in the online and offline distribution of agricultural produce. The solution provides customized services to consumers based on an analysis of the data generated from the sales, distribution, and consumption of quality of the produce. It can also ensure the safety and credibility of the produce, and allow producers to identify consumption intent and the flow of distribution. Producers will be able to determine the flow of produce based on the data collected and thus tailor promotional efforts. This is expected to be the fourth industrial revolution in the agricultural produce distribution sector. Utilizing blockchain and big data technology to create integrated record management systems that combine multiple solutions will shape future technology trends. In addition, if eco-friendly certification is acknowledged as a valuable service and can be incorporated into the distribution process, this solution could become a one-stop distribution solution for agricultural produce.

• Korean Management Science Review
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• v.11 no.2
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• pp.1-27
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• 1994

A reliability data processing MPRDP (Multi-Purpose Reliability Data Processor) has been developed in FORTRAN language since Jan. 1992 at KAERI (Korean Atomic Energy Research Institute). The purpose of the research is to construct a reliability database(plant-specific as well as generic) by processing various kinds of reliability data in most objective and systematic fashion. To account for generic estimates in various compendia as well as generic plants' operating experience, we developed a 'three-stage' Bayesian procedure[1] by logically combining the 'two-stage' procedure[2] and the idea for processing generic estimates[3]. The first stage manipulates generic plant data to determine a set of estimates for generic parameters,e.g. the mean and the error factor, which accordingly defines a generic failure rate distribution. Then the second stage combines these estimates with the other ones proposed by various generic compendia (we call these generic book type data). This stage adopts another Bayesian procedure to determine the final generic failure rate distribution which is to be used as a priori distribution in the third stage. Then the third stage updates the generic distribution by plant-specific data resulting in a posterior failure rate distribution. Both running failure and demand failure data can be handled in this code. In accordance with the growing needs for a consistent and well-structured reliability database, we constructed a generic reliability database by the MPRDP code[4]. About 30 generic data sources were reviewed and available data were collected and screened from them. We processed reliability data for about 100 safety related components frequently modeled in PSA. The underlying distribution for the failure rate was assumed to be lognormal or gamma, according to the PSA convention. The dependencies among the generic sources were not considered at this time. This problem will be approached in further study.