• Journal of Distribution Science
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• v.22 no.3
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• pp.49-58
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• 2024

Purpose: Research on financial development plays a crucial role in guiding and implementing policies for both financial development and economic growth. This study aims to evaluate the impact of financial development on the economic growth of Southeast Asian countries. Research design, data and methodology: The research utilizes data from 11 Southeast Asian countries from 2015 to 2022. Financial development data is proxied by credit distribution in private sector. Results: Based on the analysis using the FGLS model, it indicates that financial development has a positive impact on the economic growth of Southeast Asian countries. In addition, the study also examines the impact of state investment costs and FDI investment on economic growth. The results also show that foreign direct investment flows still play an important role in Southeast Asian countries (FDI has a positive impact on economic growth). State investment costs also impact economic growth, showing that the development of public investment also brings good development to countries. Conclusions: These results suggest that credit policies for financial development in general, and the development of private credit in particular, play a significant role in these countries. Building a system to promote the activities of private sector economies will help stimulate the economic development of Southeast Asian countries.

• Journal of Distribution Science
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• v.22 no.3
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• pp.59-70
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• 2024

Purpose: This study aimed to develop a strategic business conceptual model for large state plantations in West Java Province and Banten Province, Indonesia. The model was built through causal relationships and interrelationships between marketing strategies and business strategies that affect business performance on large state plantations. The plantation sector provides the largest contribution to gross domestic product and is an important part of national food distribution efforts. Research design, data, and methodology: This study used a literature review adapted from Pret and Logan (2019), which followed the guidelines of Tranfield et al. (2003), derived from the Scopus website with Q1/Q2 quartiles and inclusion/exclusion criteria published from 2012 to 2021. Results: Based on a systematic literature review approach, we constructed the strategic business conceptual model for large state plantations based on a combination of four causal and interrelationship variables that affect business performance, namely, industry attractiveness, unique capabilities, innovation management, and collaboration strategy. Conclusions: This research explains the relationship between industry attractiveness variables and unique capability as independent variables that can affect business performance through collaboration strategy and innovation management as intervening variables in the plantation sector, especially large state plantations, which have not been found in previous studies.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.334-344
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• 2024

In Dangjin, Chungcheongnam-do, there are not only power plants and large steel complexes, but also small and medium-sized air pollutant emission facilities. The dust generated by these facilities has a very small particle size and a large surface area due to condensation and physical and chemical reactions, and is discharged containing various harmful substances. Therefore, this study analyzed the distribution of particulate matter and heavy metal concentrations by particle size in the vicinity of the steel complex, residential area, and reference point using an eight-stage Cascade Impactor. Overall, the direct impact sites with a short distance from the steel complex had the highest concentration, followed by the indirect impact sites, and the non-impact sites had the lowest concentration, indicating that they are directly affected by the steel complex. The atmospheric dust concentration distribution showed a bimodal distribution with a minimum value around the 1.1 to 2.1 ㎛ particle diameter. However, during the yellow dust event, the maximum concentration was biased toward coarse particles. The proportion of PM2.5 in the dust tended to be higher in winter, while the ratio between PM2.5 and PM10 was relatively higher in spring. Regardless of the location of the impact point, heavy metals in the dust were dominated by iron and aluminum, followed by zinc, lead, and manganese.

• Journal of the Korean Society of Safety
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• v.39 no.1
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• pp.96-103
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• 2024

The demand for mass calculation of offsite consequence analysis to conduct exhaustive single-unit or multi-unit Level 3 PSA is increasing. In order to perform efficient offsite consequence analyses, the Korea Atomic Energy Research Institute is conducting model optimization studies to minimize the analysis time while maintaining the accuracy of the results. A previous study developed a model optimization method using efficient plume segmentation and verified its effectiveness. In this study, we investigated the possibility of optimizing the model through particle size distribution setting by checking the reduction in analysis time and deviation of the results. Our findings indicate that particle size distribution setting affects the results, but its effect on analysis time is insignificant. Therefore, it is advantageous to set the particle size distribution as fine as possible. Furthermore, we evaluated the effect of multithreading and confirmed its efficiency. Future optimization studies should be conducted on various input factors of offsite consequence analysis, such as spatial grid settings.

• Journal of Distribution Science
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• v.22 no.7
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• pp.83-94
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• 2024

Purpose: This article aims to investigate the influence of pricing and distribution on the level of satisfaction and purchase decisions among consumers of pharmaceutical products in Kazakhstan. Research design, data, and methodology: A mixed-methods research design was utilized, incorporating primary and secondary data. Primary data were collected through a survey administered to customers across various pharmacy types, with 100 valid responses analyzed. Secondary data involved an extensive review of existing literature and analysis of national statistics concerning the pharmaceutical market trends from 2008 to 2022. Results: The results reveal a complex relationship between price perceptions and customer satisfaction. A significant segment of the population views current drug prices as high, which affects their satisfaction levels and purchase decisions. The study also highlights the importance of service quality in enhancing customer satisfaction, suggesting that service improvements could mitigate some of the negative perceptions of pricing. Conclusions: This research contributes to the limited but growing body of knowledge on the impact of pricing strategies on consumer satisfaction in the pharmaceutical sectors of developing countries like Kazakhstan. Focusing on economic and behavioral aspects, this study provides a more holistic understanding of the factors driving consumer satisfaction and purchase behaviors in this critical sector.

• Journal of Distribution Science
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• v.22 no.4
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• pp.115-126
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• 2024

Purpose: This study aims to explore the citizens' perceptions of the smart city distribution strategy and its impact on quality of life, classifying generations into two groups: Generation X with Baby Boomers, and Millennials with Generation Z. This study formulated research questionsto explore how both generational groups perceive the impact of smart city experience, government's role, technology development, economic, social, and environmental factors, and institutional improvement on quality of life. Additionally, this study explored the influence of quality of life on city evaluation, life satisfaction, and the expected growth of the city. Research design, data and methodology: This study employed an online survey conducted by well-known research organization. This study utilized factor and regression analysis for data analysis. Results: This study revealed that the impact of smart city experience, technology development and social value on quality of life demonstrated significance in both generational groups. Additionally, the study identified significant results regarding the influence of quality of life on city evaluation, life satisfaction, and the expected growth of the city. Conclusions: The findings suggest that, for the development of smart cities, stakeholders should particularly consider economic value and environment aspects, as these factors ultimately impact on quality of life.

• Journal of Distribution Science
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• v.22 no.8
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• pp.37-53
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• 2024

Purpose: Global warming is increasingly aggravated by environmental degradation, a challenge that can be mitigated through strategic logistic policies. This study introduces the dynamics of green trade in environmental goods for the Organisation of Islamic Cooperation (OIC) nations. It is a region known for its high environmental degradation, political risk and instability. This study examines how technological innovation and political factors influence the geographic distribution of green trade among OIC nations from 1994 to 2021 using the structural gravity model. The COVID-19 pandemic further emphasised the need for resilient and eco-friendly approaches. Research design, data and methodology: The main objective of the study is to analyse the impact of technological innovation along with scrutinising political determinants of green trade in the OIC region from 1994 to 2021 using the structural gravity model. Results: The results reveal geographic proximity, RTA, and innovation significantly boost green trade. Similarly, OIC's green trade performance has been impeded by high political risk and instability. Conclusions: The research recommends fostering political stability, and conducting further research using longitudinal studies and machine learning to strengthen the understanding of innovation and green trade in the OIC. This will inform policies for sustainable economic growth through green trade.

• Journal of Distribution Science
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• v.22 no.8
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• pp.55-63
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• 2024

Purpose: This study focuses on the golden banana (Kluai Hom Thong) from the Ban Khok Banana Community Enterprise Group in Sang Khom District, Udon Thani Province, Thailand. Despite its potential as an export crop and minimal disease or insect management issues, the group's products struggled to reach international markets due to lack of marketing opportunities, distribution channels, and proper packaging. The research aims to analyze and develop packaging and logos to test market potential for the group's products. Research design, data and methodology: Data was collected through questionnaires developed in conjunction with three printing and packaging design experts. Market testing involved 100 randomly sampled consumers of the group's products. Results: The new packaging design was perceived as more international, modern, and suitable as a souvenir for adults. Conclusions: Integrating ethnic elements and local materials into packaging design can enhance product appeal. For example, creating cloth bags from fabric scraps for carrying local woven products can impress consumers. This approach could help overcome market barriers and improve prospects for golden banana products in international markets while maintaining the intact ecosystem and environment of the production area. The study highlights the importance of effective packaging and branding in addressing market access challenges for local agricultural enterprises, potentially opening new opportunities for community-based businesses.

• Journal of Distribution Science
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• v.22 no.8
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• pp.99-107
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• 2024

Purpose: The aim of this study is to explore the psychological characteristics of users in mobile distribution channels (MDC) during mobile shopping. Research design, data and methodology: A conceptual framework based on shopping satisfaction theory was developed, leading to the proposal of a research model to examine the relationships between emotional control (EC), emotional practice (EP), prudential buying tendency (PBT), prudential buying urge (PBU), prudential buying behavior (PBB), and mobile shopping satisfaction (MSS) in MDC. To validate the research model, 125 survey responses were collected from mobile shoppers, and the relationships among EC, EP, PBT, PBU, PBB, and MSS were analyzed using the PLS structural equation model. Results: The empirical analysis revealed that EC did not have a significant impact on PBT, while EP had a significant effect on PBT. Moreover, PBT was found to influence both PBU and PBB, with PBU significantly affecting PBB. Finally, the study found that PBB significantly influences MSS. Conclusions: This study elucidates the relationships among EC, EP, PBT, PBU, PBB, and MSS, providing valuable insights for enhancing consumer shopping satisfaction in MDC. Practically, the study suggests various strategies for personalized and differentiated mobile customer management. Theoretically, it contributes to the field by stimulating further research on prudent purchasing behavior in mobile commerce.

• Journal of the Korea institute for structural maintenance and inspection
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• v.13 no.4 s.56
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• pp.148-158
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• 2009

Firstly the problems of existing foreign code concerning wheel load distribution factor for skew box girder bridges have been examined, and the main parameters which have effects on wheel load distribution factors are evaluated in this study. Further finite element analyses on various skew steel box girder bridges are carried out. Based on the analysis results, formulas to determine wheel load distribution factors are proposed using multiple regression analysis. It is found when using the proposed formulas in this study weak points of existing specifications could be improved and also time spent at structural analysis should be saved a lot, so that the validity and practicality could be verified.