• Journal of Distribution Science
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• v.12 no.6
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• pp.49-57
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• 2014

Purpose - The world now recognizes environmental disruption as a serious issue when regarding growth-oriented strategies; therefore, environmental preservation issues become pertinent. Consequently, green distribution is continuously emphasized. However, studying the prediction and association of distribution and the environment is insufficient. Most existing studies about green distribution are about its necessity, detailed operation methods, and political suggestions; it is necessary to study the distribution service industry and environmental service industry together, for green distribution. Research design, data, and methodology - ARIMA (auto-regressive moving average model) was used to predict the environmental service and distribution service industries, and the Granger Causality Test based on VAR (vector auto regressive) was used to analyze the causal relationship. This study used 48 quarters of time-series data, from the 4th quarter in 2001 to the 3rd quarter in 2013, about each business type's production index, and used an unchangeable index. The production index about the business type is classified into the current index and the unchangeable index. The unchangeable index divides the current index into deflators to remove fluctuation. Therefore, it is easy to analyze the actual production index. This study used the unchangeable index. Results - The production index of the distribution service industry and the production index of the environmental service industry consider the autocorrelation coefficient and partial autocorrelation coefficient; therefore, ARIMA(0,0,2)(0,1,1)4 and ARIMA(3,1,0)(0,1,1)4 were established as final prediction models, resulting in the gradual improvement in every production index of both types of business. Regarding the distribution service industry's production index, it is predicted that the 4th quarter in 2014 is 114.35, and the 4th quarter in 2015 is 123.48. Moreover, regarding the environmental service industry's production index, it is predicted that the 4th quarter in 2014 is 110.95, and the 4th quarter in 2015 is 111.67. In a causal relationship analysis, the environmental service industry impacts the distribution service industry, but the distribution service industry does not impact the environmental service industry. Conclusions - This study predicted the distribution service industry and environmental service industry with the ARIMA model, and examined the causal relationship between them through the Granger causality test based on the VAR Model. Prediction reveals the seasonality and gradual increase in the two industries. Moreover, the environmental service industry impacts the distribution service industry, but the distribution service industry does not impact the environmental service industry. This study contributed academically by offering base line data needed in the establishment of a future style of management and policy directions for the two industries through the prediction of the distribution service industry and the environmental service industry, and tested a causal relationship between them, which is insufficient in existing studies. The limitations of this study are that deeper considerations of advanced studies are deficient, and the effect of causality between the two types of industries on the actual industry was not established.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.10
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• pp.500-506
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• 2005

With the advent of electric power systems moving to a deregulated retail electricity market environment, calculating distribution service tariffs has become a challenging theme for distribution industries and tariff regulators. As distribution business remains as a monopoly, it is necessary to be regulated. And as multiple distribution companies compete with each other, it would be efficient to adopt competition to the determination of distribution service tariffs. This paper proposes a method to calculate distribution service tariffs using yardstick regulation, which can lead to competition among multiple distribution companies. The proposed method takes into account not only recovering revenue requirements but also the advantages of the yardstick regulation based on long-term marginal costs of distribution network expansion algorithms. A computer simulation is carried out to illustrate effectiveness of the proposed method and it is estimated that the algorithm can be applied to compute the distribution service tariffs under retail electricity markets.

• Journal of Distribution Science
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• v.17 no.4
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• pp.33-39
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• 2019

Purpose - This paper examines whether product market competition in distribution and service industries is related to audit quality. This paper investigates, specifically, the relationship in distribution and service industries by using Herfindahl-Hirschman Index and audit quality measured by audit fee and audit hour. Research design, data, and methodology - Using 1,011 firm-year observations of listed companies from 2002 to 2016 in distribution and service industries, this study examines whether product market competition in distribution and service industries is related to audit quality. Results - This study finds that market competition in distribution and service industries is negatively related to audit quality and this negative relation is pronounced for the firms with high outside director groups. Further analysis suggests that the relationship between market competition and audit hours is no longer significant. Conclusions - This study extended the existing scope of the audit quality study by systematically analyzing the impact of industrial-level characteristics (i.e. market competition) in the distribution service industries on audit quality. This study, in other words, suggests the regulatory body consider the industrial-level characteristics of each industry in order to enhance audit quality.

• Journal of Distribution Science
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• v.21 no.1
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• pp.65-72
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• 2023

Purpose: The purpose of this study was to determine the effect of Service Quality on Brand Performance through Satisfaction at an aviation campus in the Special Region of Yogyakarta, Indonesia. Research design, data, and methodology: This research design was hypothesis testing using primary data obtained by distributing questionnaires directly to 200 respondents who were active students at an aviation campus in the Special Region of Yogyakarta, Indonesia. The analytical method used was the Structure Equation Model (SEM). Results: The results of this study show that: (1) there was a significant and positive relationship between Service Quality and Satisfaction, (2) there was a significant and positive relationship between Satisfaction with Brand Performance, and (3) there was a significant and positive relationship between Service Quality and Brand Performance. Conclusion: This study concludes that for the dimension of Academic service quality distribution from the service quality variable, it is suggested to improve detailed recording by academic teaching staff. For the dimensions of Administrative Service Quality distribution from the Service Quality variable, it is recommended to increase the hospitality in the campus environment. For the dimensions of Facility Service Quality distribution from the Service Quality variable, it is recommended to increase satisfaction in terms of facilities on campus. For the Satisfaction variable, it is suggested to improve the performance of the staff and the academic community.

• Journal of Distribution Science
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• v.21 no.9
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• pp.13-22
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• 2023

Purpose: This study investigates the direct effect of service innovation and corporate image on distribution of behavioral intention and the mediating effect of customer satisfaction on these relationships. Research design, and methodology: The study was conducted through using a questionnaire as a research tool. The data were collected from 444 banking customers who used mobile banking services in Thailand. The data were analyzed through using the structural equation model (SEM). Results: The results demonstrated that service innovation and corporate image had a statistically significant effect on distribution of behavioral intention. Customer satisfaction did not mediate the relationship between service innovation and distribution of behavioral intention. On the other hand, it was found to mediate the link between corporate image and distribution of behavioral intention partially. Conclusions: These results emphasize the significance of strategic marketing practices in shaping customers' perceptions of organizational image, which can subsequently influence their satisfaction with the services. Furthermore, this study highlights the role of service innovation in creating perceived values for customers, leading to a positive attitude toward the services and a higher intention to use them.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.42
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• pp.31-38
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• 1997

The main objective of this research is to develop a model to select the optimal input service level for a distribution center - multi branch inventory distribution system. With the continuous review policy, the distribution center places an order for specific order quantity to an outside supplier, and the order quantity is replenished after a certain lead time. Also, each branch places an order for particular order quantity to the distribution center to satisfy the customer demands, and receives the replenishment after a lead time. When an out of stock condition occurs during an order cycle, a backorder is placed to the upper level to fill the unfilled demands. With these situation, variable demand and variable lead time are used for better industrial practice. Further, actual lead times with a generic lead time distribution are used in developing the control model. Under the actual lead time model, the customer service measures actually attained for the distribution center and each branch are explained as the effective customer service measures. Thus, throughout the optimal control (using computer search procedures), we can select the optimal input service levels for the distribution center and each branch to attain the effective service level for each branch which is consistent with the goal level of service for each branch. At the same time, the entire distribution system keeps minimum inventories.

• Journal of the Korea Safety Management & Science
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• v.3 no.3
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• pp.55-64
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• 2001

The main objective of this research is to develop a model to select the optimal input service level for a distribution center-multi branch inventory distribution system. With the continuous review policy, the distribution center places an order for specific order quantity to an outside supplier, and the order quantity is replenished after a certain lead time Also, each branch places an order for particular order quantity to the distribution center to satisfy the customer demands, and receives the replenishment after a lead time. When an out of stock condition occurs during an order cycle, a backorder is placed to the upper level to fill the unfilled demands. With these situation, variable demand and variable lead time are used for better industrial practice. Further, actual lead times with a generic lead time distribution are used in developing the control model. Under the actual lead time model, the customer service measures actually attained for the distribution center and each branch are explained as the effective customer service measures. Thus, throughout the optimal control (using computer search procedures), we can select the optimal input service levels for the distribution center and each branch to attain the effective service levels for each branch which is consistent with the goal level of service for each branch. At the same time, the entire distribution system keeps minimum inventories.

• Journal of Distribution Science
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• v.21 no.4
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• pp.21-33
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• 2023

Purpose: To study, analyze, and investigate how to improve the service quality distribution and perceived value of passenger loyalty in low-cost airlines in Thailand. Research Design, data, and methodology: The data was collected from low-cost airline passengers who had used low-cost airlines within Thailand more than twice in the last 12 months. In total, 632 questionnaires were received, representing 97.32%, and in-depth interviews were done using the semi-structured technique. The key informants were either executives or representatives from 4 low-cost airlines operating in Thailand. We utilized structural modeling techniques to examine the data relevant to the investigation. Results: The results show that low-cost airline passengers in Thailand have strong opinions about the perceived value of the passenger loyalty of low-cost airlines within this sector of the Thai air travel industry. The variables were sorted in order of importance and included passenger loyalty, satisfaction, trust, perceived value, and service quality distribution. The relationship between the service quality distribution variables and the significance in relation to passenger loyalty according to low-cost airlines in Thailand showed that service quality distribution had a positive effect on perceived value and that passenger satisfaction has a direct positive effect on passenger loyalty. Conclusions: The 8 QPSTL strategy is successful in terms of service quality distribution and passenger satisfaction, therefore it is an important aspect of low-cost airlines in Thailand.

• Journal of Distribution Science
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• v.11 no.5
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• pp.5-15
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• 2013

Purpose - The purpose of this study is to investigate the impact of the service quality of a university-based convenience store on consumer satisfaction, service value, and customer loyalty. Research design, data, and methodology - The questionnaire was developed by using the modified and supplementary questions based on the KD-SQS model. We used the SPSS/PC 18.0 and AMOS 18.0 statistical packages to analyze the results. For validating the research hypothesis and the structural relationship of the research model, path analysis was used. Results - The overall results of this study are as follows. We found that benefits, promotion, and convenience had a significant impact on two variables: customer satisfaction and service value. Conclusions - The basic benefits, promotions, and convenient facilities in the university-based convenience store have already received favorable reviews. Therefore, for improving customer satisfaction, it is important to improve the reliability of service, quality of human interaction, and customer service.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.241-250
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• 2016

This research aimed to analyze that there are main causes influencing the quality of trade distribution service. It means that the study was conducted to prove how the quality on trade distribution service affects customer satisfaction and loyalty with managers or higher who are responsible for trade distribution service overall. In accordance with analysis results, main causes (Reliability, Responsiveness, Support System) have a good implication for the quality of trade distribution, and Tangible has little influence. Moreover, customer satisfaction with the quality on trade distribution service has a positive impact on loyalty. Subject to the results, quality components of trade distribution service was ultimately verified that it has a positive relationship with loyalty via customer satisfaction. On the basis of this research, it is confidently expected to help improve the quality on trade distribution service.