• Journal of Korean Society for Quality Management
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• v.26 no.2
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• pp.93-105
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• 1998

Many large scale discount stores try to enter the market in newly developed city areas. In order to sucessfully increase the market share, it is essential for them to understand customers' needs. In doing so, various forms of survey methods are often used and survey forms can influence respondents' decision. The main objective of this paper is to check consistency of different survey methods in terms of deriving the expected market share. In this paper, we a, pp.y two survey forms for both AHP and conjoint analyses using a randomized complete block design. Using AHP, we compare Kim's club, Carf, E-mart and Macro in terms of the following four customer attributes: parking facility, size of store, business hours, and special pricing policy. In conjoint analysis, we estimate the part-worth of each level of the customer's attribute so that one can design the best store which would optimizethe customer's attribute so that one can design the best store which would optimize the customer's utility. Empirical comparison results indicate very low consistency between the two methods. It implies the importance of verification methods of survey. We also analyze the impact of special pricing policy using a meta analysis. It turns out that older customers are a, pp.rently more sensitive to pricing policy.

• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.2
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• pp.1-17
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• 2017

Based on increased popularity and use of social network services as a marketing tool, social commerce became an emerging trend in e-commerce platforms. Social commerce involves sellers offering potential consumers the products and services at a lower price in a limited time period. Through comparison of the performances of domestic social commerce websites, we found that the buying environment such as price, number of available products, and the remaining time period for sale has a significant difference influencing on the purchase decisions of consumers. This study aims to analyze the interaction effects and preference levels of four characteristics (price, discount rate, number of purchases and purchase time) by conducting choice-based conjoint analysis. Survey experiment was performed using a sample of 146 undergraduate and graduate students. The results showed that consumers importantly consider purchase time, discount rate, price, number of purchases in the order of their preference. Also, discount effect is more significant on purchase decisions than price effect and consumers distinguish less the differences among the buying environment characteristics in the closing days of purchase period. Customer segmentation using the preference levels of characteristics indicates that the preference levels have different effects in the purchase utility of each segment. The proposed customer segmentation and differences in feature utilities are expected to be valuable in forming future sales promotion strategies in social commerce.

• Journal of Distribution Science
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• v.17 no.12
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• pp.13-21
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• 2019

Purpose - It is very important to examine customer's behavior about AR shopping either practically or academically. Thus, it will be worthwhile to discuss more in details about AR utility which is even in early stage of distribution industry now. Research design, data, and methodology - This study has designed in consideration of control effects of perceived complexity based on customer's flow as dependent variable, and on AR characteristics and technology readiness as independent variables. Study data has been collected from questionnaires after using AR shopping service directly by those who are 20-30 years old of male and female respondents, which has been analyzed with 167 questionnaires. Hypothesis is verified using by hierarchical regression analysis. Results - After results of hypothesis verified, positive influence has been shown in terms of sensory immersion, manipulation, and optimism, however, it is rejected in relation to navigation and innovativeness. Control effect of perceived complexity has not been appeared. Conclusions - Implications of this study are as follows. First, AR shopping service has to provide an informational value. Second, by providing AR service to customer group, marketing activities will be in effects. Third, recognized complexity is not connected with significant control effect in terms of customer's devotion of service.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.270-276
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• 2020

In this paper, we analyze the buyer's joint pricing and lot-sizing model in a two-stage supply chain consisting of the supplier, the buyer and the customer. It is assumed that the supplier will permit a certain fixed period for settling the amount the buyer owes to him for the items supplied in order to stimulate the demand for the product. Generally, credit transactions would have a positive effect to the buyer. The availability of credit transactions from the supplier effectively reduces the cost of holding stocks for the buyer and therefore, the buyer has a lot of price options to choose his sales price for a customer in anticipation of increased the customer's demand and, as a result, it will appear to increase the buyer's inventory levels. On the other hand, in the case of decaying products in which their utility decay over time, the decaying rate with time may be expected to reduce inventory levels. In this regard, we need to analyze how much the length of credit period and the decaying rate affect the buyer's pricing and lot-sizing policy. For the analysis, we consider the situation where the customer's demand is represented as a linearly decreasing function of the buyer's sales price. From this perspective, we formulate the buyer's annual net profit and analyze the effect of the length of credit period and decaying rate of the product on the buyer's inventory policy numerically.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.04a
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• pp.426-426
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• 1999

;There are many sources of uncertainty in a typical production and inventory system. There is uncertainty as to how many items customers will demand during the next day, week, month, or year. There is uncertainty about delivery times of the product. Uncertainty exacts a toll from management in a variety of ways. A spurt in a demand or a delay in production may lead to stockouts, with the potential for lost revenue and customer dissatisfaction. Firms typically hold inventory to provide protection against uncertainty. A cushion of inventory on hand allows management to face unexpected demands or delays in delivery with a reduced chance of incurring a stockout. The proposed strategies are used for the design of a probabilistic inventory system. In the traditional approach to the design of an inventory system, the goal is to find the best setting of various inventory control policy parameters such as the re-order level, review period, order quantity, etc. which would minimize the total inventory cost. The goals of the analysis need to be defined, so that robustness becomes an important design criterion. Moreover, one has to conceptualize and identify appropriate noise variables. There are two main goals for the inventory policy design. One is to minimize the average inventory cost and the stockouts. The other is to the variability for the average inventory cost and the stockouts The total average inventory cost is the sum of three components: the ordering cost, the holding cost, and the shortage costs. The shortage costs include the cost of the lost sales, cost of loss of goodwill, cost of customer dissatisfaction, etc. The noise factors for this design problem are identified to be: the mean demand rate and the mean lead time. Both the demand and the lead time are assumed to be normal random variables. Thus robustness for this inventory system is interpreted as insensitivity of the average inventory cost and the stockout to uncontrollable fluctuations in the mean demand rate and mean lead time. To make this inventory system for robustness, the concept of utility theory will be used. Utility theory is an analytical method for making a decision concerning an action to take, given a set of multiple criteria upon which the decision is to be based. Utility theory is appropriate for design having different scale such as demand rate and lead time since utility theory represents different scale across decision making attributes with zero to one ranks, higher preference modeled with a higher rank. Using utility theory, three design strategies, such as distance strategy, response strategy, and priority-based strategy. for the robust inventory system will be developed.loped.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.1
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• pp.149-158
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• 2010

The domestic specialized coffee branch market is growing both in size and sales, and the competition between different brands is increasing. The goal of this study was to divide the customer's consumption motivations into utility usage motivation, hedonic usage motivation, and ostentation usage motivation and to determine how each motivation influences the attitude, satisfaction and loyalty toward the brand. The results can be summarized as follows. (1) Hedonic motivation and ostentation motivation with the exception of utility motivation were shown to have an effect on brand attitude. (2) Brand attitude was shown to have an effect on satisfaction and loyalty. (3) Satisfaction had an effect on loyalty. However, if the satisfaction was low, the intentions for subsequent visits and positive oral transmissions decrease. The result of this study showed that establishing positive brand attitude, satisfaction and loyalty to customers with pleasure and ostentation motivations is effective. Moreover, marketing activities such as cultural and playful events should be emphasized for customers with hedonic motivations, while environments with better atmosphere and careful service should be provided to customers with ostentation motivation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.809-820
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• 2016

The smart grid, a new open platform, is a core application for facilitating a creative economy in the era of the Internet of Things (IoT). Advanced Metering Infrastructure (AMI) is one of the components of the smart grid and a two-way communications infrastructure between the main utility operator and customer. The smart meter records consumption of electrical energy and communicates that information back to the utility for monitoring and billing. This paper investigates the impact of a cybersecurity attack on the smart meter. We analyze the cost to the smart grid in the case of a smart meter attack by authorized users based on a high risk scenario from NESCOR. Our findings could be used by policy makers and utility operators to create investment decision-making models for smart grid security.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.418-419
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• 2011

Recently, the korea power quality standard has been established based on the IEC Std. By IEC Std., the power quality assessment point is measured in PCC. In this case, the utility has to construct PQM system in all customer PCC point and the PQ meter cost would be very high in order to acquire the suitable data. Accordingly the utilities could not apply to PQM system in the distribution power system by the cost and communication problem. In this paper, the proposed economical PQMS(Power quality monitoring system) of Utility.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.796-797
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• 2007

An important purpose of DSM(Demand Side Management) program screening is to determine which program or technologies seem to be most worthy of future development, given the characteristics of the particular utility system. complication found in screening DSM technologies is the consideration of cost and benefit from several perspectives : the utility, society, participants, free rider and non participant. we also consideration of spillover participant, non participant. Cost-effectiveness on these factors can be respectively specified based on net benefit analysis, and it can provide a precise description on the customer effects.

• Knowledge Management Research
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• v.24 no.3
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• pp.95-125
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• 2023

As the aviation industry has rapidly been grown, there are more factors for customers to consider when choosing an airline. In response, airlines are trying to increase customer value by providing high-quality services and differentiated experiential value. While early customer value research centered on utilitarian value, which is the trade-off between cost and benefit in terms of utility for products and services, the importance of experiential value has recently been emphasized. However, experiential value needs to be studied in a specific context that fully represents customer preferences because what constitutes customer value changes depending on the product or service context. In addition, customer value has an important influence on customers' decision-making, so it is necessary for airlines to accurately understand what constitutes customer value. In this study, we collected customer reviews and ratings from Skytrax, a website specializing in airlines, and utilized the BERTopic technique to derive factors of customer value. The results revealed nine factors that constitute customer value in airlines, and six of them are related to customer satisfaction. This study proposes a new methodology that enables a granular understanding of customer value and provides airlines with specific directions for improving service quality.