• The Journal of Fisheries Business Administration
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• v.55 no.2
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• pp.17-37
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• 2024

In this study, the effect of Distribution efficiency through the fishery production base distribution center (FPC) on the production site board facility was studied. FPC is a new distribution system for Korean fishery products that has been promoted in earnest since 2012, and in this study, the effect before and after the introduction of FPC was analyzed using the DID (Difference in Difference) model for the effect of FPC in the fishery industry. The results of analysis shows that in the case of Wando Geumil FPC, the volume and unit price of consignment sales decreased during the analysis period, which was statistically significant. In the case of Sokcho FPC, the volume of consignment sales decreased during the analysis period, which was statistically insignificant. But the unit price of consignment sales rose during the analysis period, which was statistically significant. In the case of Gyeongju FPC, the volume of consignment sales increased during the analysis period, which was statistically significant at the 90% confidence level. But the unit price of consignment sales fell during the analysis period, which was statistically significant.

• Journal of applied mathematics & informatics
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• v.42 no.5
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• pp.1195-1210
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• 2024

This research aims to determine an optimal (best) solution for transporting the logistics at a minimum cost from various sources to various destinations. We proposed a new algorithm for the initial basic feasible solution (IBFS). Developing a new IBFS is the first step towards finding the optimal solution. A new approach for the initial basic feasible solution that reduces iterations and produces the best answer in the initial process of the transportation issue. Different IBFS approaches have been generated in the literature review. Some statistical fundamentals, such as normal distribution and the root mean square technique, are employed to find new IBFS. A TP is transformed into a normal distribution, and penalties are determined using the root mean square method. Excel Solver is used to calculate normal distribution values. The second step involves using a stepping-stone approach to compute the optimum solution. The results of our study were calculated using numerical examples and contrasted with a few other methodologies, such as Vogel's approximation, the Continuous Allocation Method (CAM), the Supply Demand Repair Method (SDRM), and the Karagul-Sahin Approximation Method (KSAM). The conclusion of our proposed method gives more accurate results than the existing approach.

• Journal of Distribution Science
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• v.22 no.10
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• pp.1-12
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• 2024

Purpose: Despite significant commitments between corporations and the government on green supply chain, green logistics and sustainable production, the adoption of green and sustainable trading innovation in Vietnam continues to face many obstacles. The objective of this study is to approach the decision to adopt green and sustainable trading innovation from the perspective of the enterprise. Research Design, Methodology and Approach: A cross-sectional study with the participation of 651 employees and managers at distribution enterprises such as logistics, supply, and delivery enterprises in southern Vietnam was conducted to assess business innovation decisions through innovation awareness. Partial least squares structural equation modelling (PLS-SEM) was proposed to evaluate the structural relationships of the model. Results: The research results show that the decision to innovate an enterprise is directly positively affected by the perception of marketing innovation, process innovation and organizational innovation; in which process innovation and organizational innovation are mediators for the perception of marketing innovation. Conclusions: This study makes a significant contribution by demonstrating the impact of marketing innovation awareness on the entire process that leads to enterprise innovation decisions to fulfil customer expectations and competitive pressure in the context of the green supply chain, green logistics and sustainable production.

• Journal of Distribution Science
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• v.22 no.10
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• pp.43-54
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• 2024

Purpose: Market competition in the fashion industry is intensifying, pushing brands to strive for consumer preference and market leadership. Mobile fashion applications have emerged as key distribution channels, with live streaming being a common feature for product distribution and consumer loyalty. Therefore, this study will analyze the loyalty model in live streaming on mobile fashion applications by integrating the quality loyalty model, parasocial relationships, and uses and gratifications (U&G) theory. Research design, data and methodology: Data were collected from a survey of 427 respondents who are customers of a fashion product that had been purchased through live streaming on a mobile fashion application and processed using the PLS-SEM method Results: The results of the study show that the live streamer and product quality significantly influence satisfaction and loyalty. Conversely, AR content and live streaming content do not directly influence loyalty but have an indirect effect through satisfaction Conclusions: this study is the first to model loyalty in mobile fashion applications by integrating the quality loyalty model, parasocial relationship, and U&G theory. Practically, fashion companies are advised to conduct live streaming by considering aspects of content, live streamer, and product quality to enhance satisfaction and loyalty.

• Journal of Distribution Science
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• v.22 no.10
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• pp.65-77
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• 2024

Purpose: This research analyzes consumer behavior by examining how augmented reality virtual try-on features and product information distribution affect consumer satisfaction through enhanced brand experience. The focus is on Maybelline's Shopee Official Account, as implementing these strategies can strengthen customer relationship management by improving the online shopping experience for cosmetic products. Research design, data and methodology: Employing a quantitative method, this study utilized a survey technique distributed to 100 respondents who are followers of Maybelline's Shopee Official Account. The data were analyzed using Structural Equation Modeling (SEM), supported by SmartPLS. Results: This study provides evidence that augmented reality does not significantly affect brand experience or customer happiness. The research findings indicate that while this technology enables customers to test cosmetics digitally, its impact on customer satisfaction is minimal. Augmented reality does not appear to influence consumer behavior, as reflected in customer satisfaction. Conclusions: This research underscores the importance of understanding contextual factors and product characteristics when incorporating augmented reality in marketing to harness its potential benefits and influence consumer behavior. The study focused exclusively on the identified variables and Maybelline's cosmetic products available on the Shopee platform. Further research is required to explore more complex variables.

• Journal of Distribution Science
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• v.22 no.10
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• pp.91-102
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• 2024

Purpose: This study exploresthe impact of e-service quality (e-SQ) on satisfaction, trust, and loyalty within Chinese online travel retail distribution agencies (OTRDAs) using the SOR (stimulus-organism-response) model. In addition, this research examines the mediating roles of satisfaction and trust in the relationship between e-SQ and loyalty. In the model, e-SQ encompasses four sub-dimensions, such as information, efficiency, reliability, and security. Research design, data, and methodology: Data were collected from 401 respondents through an online survey. The data were analyzed using SPSS 25.0 and SmartPLS 4.1 to test the relationships among the variables. Results: The findings reveal that information, efficiency, reliability, and security positively influence satisfaction and trust. Both satisfaction and trust, in turn, significantly enhance loyalty. Mediation analysisindicatesthat satisfaction and trust partially mediate the relationship between e-SQ and loyalty. Conclusions: The study highlights the direct effects of e-SQ components on satisfaction and trust, as well as their indirect effects on loyalty within the OTRDA framework. Notably, trust exerts a stronger influence on loyalty than satisfaction, underscoring the importance of trust as a mediator in the satisfaction-loyalty relationship. Consequently, customer loyalty programs for OTRDAs should prioritize trust evaluations alongside satisfaction measures.

• Journal of the Society of Naval Architects of Korea
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• v.61 no.5
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• pp.352-358
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• 2024

The susceptibility of warships denotes the hit probability by anti-ship missiles in a hostile environment. The distribution characteristics of the hit location directly influence the vulnerability. This paper proposes a simulation method to determine the hit location of radar-homing anti-ship missiles by their approach direction. The method uses high-frequency analysis theory to calculate electromagnetic scatterers and determines the equivalent scattering center position corresponding to the hit location. The proposed method was implemented to an in-house software called SCTracer/RCS, which follows the process: importing numerical analysis model, defining calculation condition, calculating electromagnetic wave scattering centers, storing to database, calling scattering center data, estimating equivalent scattering center, and analyzing hit-point distribution. To validate the feasibility and practical applicability of this software, the hit-point distribution is examined for a 90-meter-class virtual warship.

• Environmental Engineering Research
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• v.7 no.3
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• pp.159-167
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• 2002

• Water Engineering Research
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• v.3 no.1
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• pp.63-74
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• 2002

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5153-5158
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• 2015

Infection with high-risk human papillomavirus (HR-HPV) is an essential cause of cervical cancer. Because of substantial geographical variation in the HPV genotype distribution, data regarding HPV type-specific prevalence for a particular country are mandatory for providing baseline information to estimate effectiveness of currently implemented HPV-based cervical cancer prevention. Accordingly, this review was conducted to evaluate the HR-HPV genotype distribution among Thai women with precancerous cervical lesions i.e. cervical intraepithelial neoplasia grade 2-3 (CIN 2-3), adenocarcinoma in situ (AIS), and invasive cervical cancer by reviewing the available literature. The prevalence of HR-HPV infection among Thai women with CIN 2-3 ranged from 64.8% to 90.1% and the three most common genotypes were HPV 16 (38.5%), HPV 58 (20.0%), and HPV 18 (5.5%). There were high squamous cell carcinoma/CIN 2-3 prevalence ratios in women with CIN 2-3 infected with HPV 33 and HPV 58 (1.40 and 1.38, respectively), emphasizing the importance of these subtypes in the risk of progression to invasive cancer among Thai women. Data regarding the prevalence and genotype distribution of HR-HPV in Thai women with AIS remain unavailable. Interesting findings about the distribution of HPV genotype in cervical cancer among Thai women include: (1) a relatively high prevalence of HPV 52 and HPV 58 in invasive squamous cell carcinoma; (2) the prevalence of HPV 18-related adenocarcinoma is almost double thepreviously reported prevalence, and (3) 75% of neuroendocrine carcinomas are HPV18-positive when taking into account both single and multiple infections.