• Journal of the Korean Operations Research and Management Science Society
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• v.13 no.2
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• pp.66-71
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• 1988

Let B be present value of some sequence. This paper concerns the maximization of the expected utility of the present value B when the utility function is exponential.

• Journal of the Chungcheong Mathematical Society
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• v.24 no.3
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• pp.401-407
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• 2011

The paper deals with characterization of standard Gumbel distribution and standard $Fr{\acute{e}}chet$ distribution and was motivated by [4], where the Weibull distribution is characterized. We present criterions using the independence of some suitable functions of lower records in a sequence of independent identically distributed random variables $\{X_n,\;n{\geq}1\}$.

• Journal of Distribution Science
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• v.15 no.4
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• Journal of Electrical Engineering and Technology
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• v.9 no.5
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• pp.1501-1510
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• 2014

Low voltage direct current (LVDC) distribution system is a suitable techno-economic candidate which can create an innovative solution for distribution network development with respect to rural electrification. This research focuses on the use of LVDC distribution system to replace some of KEPCO's existing traditional medium voltage alternating current (MVAC) distribution network for rural electrification in South Korea. Considering the technical and economic risks and benefits involved in such project, a comparative techno-economic analysis on the LVDC and the MVAC distribution networks is conducted using economic assessment method such as the net present value (NPV) on a discounted cash flow (DCF) basis as well as the sensitivity analysis technique. Each would play a role in an economic performance indicator and a measure of uncertainty and risk involved in the project. In this work, a simulation model and a computational tool are concurrently developed and employed to aid the techno-economic analysis, evaluation, and estimation of the various systems efficiency and/or performance.

• The Journal of Fisheries Business Administration
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• v.34 no.1
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• pp.9-30
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• 2003

This paper tries to suggest a rational proposal for the distribution of compensation of common property fisheries damages caused by a large scale coastal reclamation. For the purpose the paper introduces the approach of alternative cost of the use of fishing ground. The background of the paper is the legal conflict between tenants and non-tenants, both of whom are common owners of seaweed cultivation ground, in the distribution of compensation for damages. In principal, so far as the seaweed cultivation right is a common property of the fishing association, the compensation is also a common property of it. Therefore the distribution method of the compensation entirely depends on the decision of the association. But in case that the numbers of non-tenants is larger than those of tenants, the distribution of the compensation is usually unfavorable to the tenants even though the latter is the key contributor to the realization of present value of the common property. The paper aims to show an appropriate distribution method based on the economic principle of optimal distribution. In others words, the value added to the economic value of alternative use of the fishing ground should be distributed to the tenants. the value amount of alternative use of the fishing ground should be equally distributed to the members of the association.

• Steel and Composite Structures
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• v.3 no.3
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• pp.185-198
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• 2003

The concept of performance based seismic design has been gradually accepted by the earthquake engineering profession recently, in which the cost-effectiveness criterion is one of the most important principles and more attention is paid to the structural performance at the inelastic stage. Since there are many uncertainties in seismic design, reliability analysis is a major task in performance based seismic design. However, structural reliability analysis may be very costly and time consuming because the limit state function is usually a highly nonlinear implicit function with respect to the basic design variables, especially for the complex large-scale structures for dynamic and nonlinear analysis. Understanding statistical properties of the structural inelastic deformation, which is the aim of the present paper, is helpful to develop an efficient approximate approach of reliability analysis. The present paper studies the statistical properties of the maximum elastoplastic story drift of steel frames subjected to earthquake load. The randomness of earthquake load, dead load, live load, steel elastic modulus, yield strength and structural member dimensions are considered. Possible probability distributions for the maximum story are evaluated using K-S test. The results show that the choice of the probability distribution for the maximum elastoplastic story drift of steel frames is related to the mean value of the maximum elastoplastic story drift. When the mean drift is small (less than 0.3%), an extreme value type I distribution is the best choice. However, for large drifts (more than 0.35%), an extreme value type II distribution is best.

• Journal of Distribution Science
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• v.12 no.9
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• pp.65-72
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• 2014

Purpose - This study aims to provide a brief understanding of usability and its extended models with TAM as well as identifying additional determinants that had been suggested in previous studies on mobile services. Research design, data, and methodology - Empirical data were collected by conducting a field survey of potential mobile application service users. The call for participation was also made in mobile related application issues, which were widely discussed. Result - The ease of use and usefulness had a significantly positive influence on attitude and intention. It also was revealed that added value services can offer practical value to customers. Thus, positive attitudes toward the adoption of services by customers are present when they perceive higher usefulness and ease of use of mobile application services. Conclusion - It was indicated that customers who are more inclined to try new products or who have a higher demand for new things tend to think about those functionalities and added value mobile application services from the perspective of usefulness and ease of use and operation.

• Journal of Distribution Science
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• v.19 no.5
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• pp.13-21
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• 2021

Purpose: The sports leadership theories are crucial in ensuring the success of corporations. This study shall discuss the various leadership theories employed in the sports industry and how they can be incorporated within the retailing sector to enhance the service quality and promote substantial customer value towards all the consumers visiting the retailing stores. Research design, data and methodology: The present researcher gathered textual data on potential solutions for coding of development through web searching method and coded and produced various topics as solution providers. Methods were then established to enhance quality on customer value by the leadership within their businesses, and the researcher subsequently presented the findings. Results: This study provides a total of nine solutions which are helpful systemically for practitioners in the retailer service sector. These numerous solutions can be incorporated within the retail industry through the sports leadership theories employed in the sports industry to help achieve a full and strong customer value. Conclusions: Finally, the present study concludes that the retail industry and management need to ensure that a substantial customer value is built through high-quality services rendered towards the clientele base, employing sports leadership theories such as path-goal, authentic leadership, transformation, situational and leader-member exchange theories.

• Journal of Distribution Science
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• v.19 no.10
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• pp.5-15
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• 2021

Purpose: This study aims to present individual motivation and channel characteristics affecting omnichannel service use, as well as the effect relationship of the brand factor on consumption value, service satisfaction, and continuous usability based on convenience store pickup service, one of online shopping customers' omnichannel use services. Primarily, this study divided consumption value into emotional value and functional value and examined the consumption value characteristics of omnichannel-based pickup service customers. Research design, data and methodology: A questionnaire survey was carried out targeting 324 consumers having the omnichannel-based pickup service user experience in online shopping in Korea. A confirmatory factor analysis and path analysis were carried out based on the structural equation to verify hypotheses. Results: According to the analysis result, individual motivation affected the emotional value, and the omnichannel characteristics affected functional value. The brand effect influenced both emotional and functional values. The emotional value affected continuous use intention, and the functional value affected service satisfaction. Conclusions: Therefore, consumers' emotional and functional values showed differences in consumption behavior. In online shopping companies' marketing strategy construction for omnichannel, it was confirmed that a differentiated approach is needed depending on the strategic goal of satisfaction improvement and continuous use intention consolidation.

• Computational Structural Engineering : An International Journal
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• v.2 no.1
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• pp.1-10
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• 2002

Information on the distribution of the basic random variables is essential for the accurate evaluation of structural reliability. The usual method for determining the distribution is to fit a candidate distribution to the histogram of available statistical data of the variable and perform appropriate goodness-of-fit tests. Generally, such candidate distributions would have two parameters that may be evaluated from the mean value and standard deviation of the statistical data. In the present paper, a-parameter Gamma distribution, whose parameters can be directly defined in terms of the mean value, standard deviation and skewness of available data, is suggested. The flexibility and advantages of the distribution in fitting statistical data and its significance in structural reliability evaluation are identified and discussed. Numerical examples are presented to demonstrate these advantages.