• Management & Information Systems Review
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• v.3
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• pp.99-131
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• 1999

The purpose of this study is to investigate relational benefits affecting the relationship quality and the existence of differences to which relational benefits are most important to the customers across the type of services that customer buys and customer's relationship orientation in how they orientate their relationships with service firms. The results of this study are summarized as follows: First, all relational benefits, economic, social, psychological, functional benefits, is related the relationship quality. Second, There is a difference in the perceived relative importance of relational benefits that customers will lead to the establishment of a long-term relationship across the type of service. The more service is customized, the less economic benefits affect relationship quality and the more psychological benefits affect relationship quality. however there isn't a difference in the effect of functional benefits on relationship quality across the types of service, functional benefits are a important benefits both situations. Third, There is a difference in the perceived relative importance of relational benefits that customer will lead to the establishment of a long-term relationship across customers. The more customers orientate their relationships with service firms, the more psychological benefits affect relationship quality. The less customers orientate their relationships with service firms, the more economic and functional benefits affect relationship quality. However there isn't a difference in the effect of social benefits on relationship quality across customers. In addition to, relationship orientation is related to demographic facets such as sex-type, age and income. Male is higher relationship orientation than female. The more customers are older, the more they orientate their relationships with service firms and the more customers have income, the more they orientate their relationships with service firms.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.66-75
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• 2017

Priority disciplines are an important scheme for service systems to differentiate their services for different classes of customers. (N, n)-preemptive priority disciplines enable system engineers to fine-tune the performances of different classes of customers arriving to the system. Due to this virtue of controllability, (N, n)-preemptive priority queueing models can be applied to various types of systems in which the service performances of different classes of customers need to be adjusted for a complex objective. In this paper, we extend the existing (N, n)-preemptive resume and (N, n)-preemptive repeat-identical priority queueing models to the (N, n)-preemptive repeat-different priority queueing model. We derive the queue-length distributions in the M/G/1 queueing model with two classes of customers, under the (N, n)-preemptive repeat-different priority discipline. In order to derive the queue-length distributions, we employ an analysis of the effective service time of a low-priority customer, a delay cycle analysis, and a joint transformation method. We then derive the first and second moments of the queue lengths of high- and low-priority customers. We also present a numerical example for the first and second moments of the queue length of high- and low-priority customers. Through doing this, we show that, under the (N, n)-preemptive repeat-different priority discipline, the first and second moments of customers with high priority are bounded by some upper bounds, regardless of the service characteristics of customers with low priority. This property may help system engineers design such service systems that guarantee the mean and variance of delay for primary users under a certain bounds, when preempted services have to be restarted with another service time resampled from the same service time distribution.

• Journal of Information Technology Services
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• v.9 no.2
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• pp.43-72
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• 2010

The Korean mobile telecommunication service market is faced with a tremendous competitive period, in which the market is entering into the maturity stage with launching of the 3rd generation service and with introduction of mobile number portability. In general, it is more important to sustain the old customers than to attracting new customers, as the life cycle of an industry is entering the maturity stage in which the growth rate of new customers is decreasing gradually or becoming stagnant. Until now, many researches had tested whether the customer satisfaction and loyalty were the core factors of sustaining customers or not. Also service quality and switching cost were given a remarkable attention for their possibility of exogenous factors, which could exercise effects to customer satisfaction and loyalty. In the same context, mobile telecommunication business has to seek a way to maintain the existing customers instead of promoting new customers. So this study investigates whether the service quality and switching barrier of mobile telecommunication could have effects on the customer satisfaction and loyalty, which are recognized as an efficient means to sustain the current customers. In order to test the hypothesis on the effects of service quality and switching barrier of mobile telecommunication to customer satisfaction and loyalty in Korean telecommunication industry, this study collected the questionnaire response data of students including middle and high school students and undergraduates, who are regarded as the major customers in that mobile telecommunication industry.

• Asia pacific journal of information systems
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• v.19 no.4
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• pp.29-45
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• 2009

In the information age, cheap price of information processing and advances in personalization technology have allowed companies to enhance the relationships with their existing customers and to expand their customer base by effectively attracting new customers. However, most customers are reluctant to provide their personal information to companies. This study explores the tension between companies' desire to collect personal information to offer personalized services and their customers' privacy concerns. The psychological reactance theory suggests that when individuals feel that their behavioral choice is threatened or restricted, they are motivated to restore their freedom. Therefore, despite the expected benefits from personalized services, customers may perceive the services to be restrictive of their freedom to choose. This adverse effect may undermine the relationships between companies and their customers. We conducted experiments to explore the dynamic roles of transactional and environmental factors in motivating customers to provide personal information. We revisited online privacy issues from the perspective of psychological reactance. For the experiments, we created an online shop and randomly assigned the participants to one of the two experimental conditions-high and low levels of information requirements. The results of the experiment indicate that threatening the free choice serves as a transactional cost in online profiling. On the other hand, the expected benefits of personalization services have positive correlations with customers' willingness to provide personal information. This study explains privacy based on transactional and environmental factors. Our findings also indicate that the environmental factors such as the Internet privacy risk and trust propensity do not significantly affect the willingness to provide personal information when firms required much personal information. Implications and contributions are discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.2
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• pp.69-77
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• 2019

As information technology advances, the penetration of smart devices connected to the Internet, such as smart phone and tablet PC, has rapidly expanded, and as sensor prices have fallen the Internet of Things has begun to be introduced in the industry. Today's industry is rapidly changing and evolving, requiring companies to respond to the new paradigm of business. In this situation, companies need to actively manage and maintain customer relationships in order to acquire loyal customers who bring them a high return. The purpose of this study is to suggest a method to manage customer relationship using real time IoT data including IoT product usage data, customer characteristics and transaction data. This study proposes a method of segmenting customers through RFM analysis and transition index analysis. In addition, a real-time monitoring through control charts is used to identify abnormalities in product use and suggest ways of differentiating marketing for each group. In the study, 44 samples were classified as 9 churn customers, 10 potential customers, and 25 active customers. This study suggested ways to induce active customers by providing after-sales benefit for product reuse to a group of churn customers and to promote the advantages or necessity of using the product by setting the goal of increasing the frequency of use to a group of potential customers. Finally, since the active customer group is a loyal customer, this study proposed an one-on-one marketing to improve product satisfaction.

• Journal of Fashion Business
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• v.26 no.1
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• pp.92-104
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• 2022

The nail service field, which has emerged as a new trend in the beauty industry, is showing rapid growth compared to other beauty fields. As nail beauty services become more common and popular, studies on related fields are also actively progressing, but most of the research has been focused on changes on self-esteem. In addition, most of the preceding studies are centered on female customers, thus, there is little data on male customers that are increasing recently. This research aims to provide customized marketing data to the nail beauty service industry by analyzing the psychological characteristics of the customers and their motives by selecting self-esteem and confidence as factors. First, the customers' confidence and self-esteem were classified into a group with high and low confidence and self-esteem, and as a result of analyzing the difference in service pursuit benefits and revisit intentions, there were significant differences in mood change, professionalism, health hygiene, aesthetics, and revisit. Second, as a result of analyzing the effect of the service pursuit benefits of male and female customers on the revisit intention, it was found that only health and hygiene had a significant effect on the revisit intention. Female customers also had a significant influence on their revisit intention, which is judged to have a significant effect on male customers' revisit intention because most of the main management is cuticle cleaning, callus management, and problematic nails.

• Journal of applied mathematics & informatics
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• v.25 no.1_2
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• pp.389-405
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• 2007

In this paper, we study a k-out-of-n system with single server who provides service to external customers also. The system consists of two parts:(i) a main queue consisting of customers (failed components of the k-out-of-n system) and (ii) a pool (of finite capacity M) of external customers together with an orbit for external customers who find the pool full. An external customer who finds the pool full on arrival, joins the orbit with probability ${\gamma}$ and with probability $1-{\gamma}$ leaves the system forever. An orbital customer, who finds the pool full, at an epoch of repeated attempt, returns to orbit with probability ${\delta}\;(<\;1)$ and with probability $1-{\delta}$ leaves the system forever. We compute the steady state system size probability. Several performance measures are computed, numerical illustrations are provided.

• Culinary science and hospitality research
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• v.22 no.6
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• pp.145-150
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• 2016

The Malaysian hotel industry is experiencing growth due to the increase of new hotels and hospitality-related service through inbound of business travelers and tourists to Malaysia. The influx of tourist is expected to increase and luxury hotels are beginning to be more popular. The interest of studying customer perception toward tourism facilities, especially in luxury hotels has also witnessed an increase. In this study, a qualitative approach on how customers perceive luxury hotels was conducted. This study covered customer satisfaction and service quality perceived by customers toward Sunway Resort Hotel and Spa. Ten individuals were involved in data collection, and data were analyzed thematically. Findings were themed based on positive and negative responses provided by both international and local customers.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.133-138
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• 2002

In this paper, we model a two-server queueing system with priority, to which we put a restriction of the number of servers for each customer class. A group of customers is divided into two different classes. The class 1 customers has non -preemptive priority over class 2 customers. We use the method of PGF depending on the state of server We find the PGF of the number of customers in queue, server utilization, mean queue length and mean waiting time for each class of customers.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.153-170
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• 2008

Customers' needs change every moment. Profitability of stores can't be increased anymore with an existing standardized chain store management. Accordingly, a personalized store management tool needs through prediction of customers' preference. In this study, we propose a recommending procedure using dynamic customers' preference by analyzing the transaction database. We utilize self-organizing map algorithm and association rule mining which are applied to cluster the chain stores and explore purchase sequence of customers. We demonstrate that the proposed methodology makes an effect on recommendation of products in the market which is characterized by a fast fashion and a short product life cycle.