• 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.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.95-108
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• 2011

TThis is a study of the personalization method that intelligently adapts the level of clustering considering purchasing index of a customer. In the e-biz era, many companies gather customers' demographic and transactional information such as age, gender, purchasing date and product category. They use this information to predict customer's preferences or purchasing patterns so that they can provide more customized services to their customers. The previous Customer-Segmentation method provides customized services for each customer group. This method clusters a whole customer set into different groups based on their similarity and builds predictive models for the resulting groups. Thus, it can manage the number of predictive models and also provide more data for the customers who do not have enough data to build a good predictive model by using the data of other similar customers. However, this method often fails to provide highly personalized services to each customer, which is especially important to VIP customers. Furthermore, it clusters the customers who already have a considerable amount of data as well as the customers who only have small amount of data, which causes to increase computational cost unnecessarily without significant performance improvement. The other conventional method called 1-to-1 method provides more customized services than the Customer-Segmentation method for each individual customer since the predictive model are built using only the data for the individual customer. This method not only provides highly personalized services but also builds a relatively simple and less costly model that satisfies with each customer. However, the 1-to-1 method has a limitation that it does not produce a good predictive model when a customer has only a few numbers of data. In other words, if a customer has insufficient number of transactional data then the performance rate of this method deteriorate. In order to overcome the limitations of these two conventional methods, we suggested the new method called Intelligent Customer Segmentation method that provides adaptive personalized services according to the customer's purchasing index. The suggested method clusters customers according to their purchasing index, so that the prediction for the less purchasing customers are based on the data in more intensively clustered groups, and for the VIP customers, who already have a considerable amount of data, clustered to a much lesser extent or not clustered at all. The main idea of this method is that applying clustering technique when the number of transactional data of the target customer is less than the predefined criterion data size. In order to find this criterion number, we suggest the algorithm called sliding window correlation analysis in this study. The algorithm purposes to find the transactional data size that the performance of the 1-to-1 method is radically decreased due to the data sparity. After finding this criterion data size, we apply the conventional 1-to-1 method for the customers who have more data than the criterion and apply clustering technique who have less than this amount until they can use at least the predefined criterion amount of data for model building processes. We apply the two conventional methods and the newly suggested method to Neilsen's beverage purchasing data to predict the purchasing amounts of the customers and the purchasing categories. We use two data mining techniques (Support Vector Machine and Linear Regression) and two types of performance measures (MAE and RMSE) in order to predict two dependent variables as aforementioned. The results show that the suggested Intelligent Customer Segmentation method can outperform the conventional 1-to-1 method in many cases and produces the same level of performances compare with the Customer-Segmentation method spending much less computational cost.

• Journal of the Korean Society of Costume
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• v.51 no.1
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• pp.119-128
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• 2001

This study gives information for the enterprise to map out a positive marketing strategy and facilitate a new product development by researching and analyzing the specific character of the high income woman-brackets. In order to do that, based upon the materials of the National Statistical office, I made a selection of the high income brackets, subdividing their scholastic ability into four serfs. The subject of the study was the women from twenties to sixties among customers of a high class dress shop in Taejeon. I made up 600 questionnaires for them. using 441 of these for the statistical analysis and making available the correlation analysis, the primary factor analysis, and $X^2$-test. This study is classified into the type of women customers purchasing clothes who are the high-income brackets. Intended to study a special quality of purchasing according to income. 1. The purchasing manner of the high-income brackets customers is exposed the luxurious vain purchasing manner, the rational reasonable manner, and idiosyncrasy individual manner in order 1) The consumer of the high-income brackets in general prefer to a high class clothes. In the contrast, low-income brackets prefer to rational reasonable consumption in spending money on clothes. 2) The favorite consumption manner of the high income brackets is the luxurious vain purchasing manner. This consumption values the more symbolic means the things show than owing the goods. 2. The higher standard of education and younger tends to be high in the luxurious, vain purchasing. 3. The unreasonable purchasing show an high irrelation at the impulse buying arid self-satisfaction. 4. Self-satisfaction shows the highest interrelation than any other variations in the concern of clothes. 5. The symbolic images which exerts an influence upon purchasing manner are the notable elements of constituting as growing older. 6. The high standard of education prefers to the rational resonable purchasing, but on the other hand shows a high rate at the unreasonable individual purchasing manner.

• The KIPS Transactions:PartB
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• v.8B no.6
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• pp.617-624
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• 2001

With the proliferation of E-Commerce, product informations and services are provided to customers diversely. Thus customers want a software agent that can retrieve and recommend goods satisfying various purchase conditions as well as price. In this paper, we present a MAS (multi-agent system) for book information retrieval and recommendation in E-Commerce. User's preference is reflected in the MAS using the profile which is taken by user. The proposed MAS is composed of individual agents that support information retrieval, information recommendation, user interface, and web robots and a coordination agent which performs information sharing and job management between individual agents. Our goal is to design and implement this multi-agent system on a Windows NT server. Owing to the workflow management of the coordination agent, we can remove redundant information retrievals of web robots. From the results, we could provide customers various purchase conditions for several online bookstores in real-time.

• Culinary science and hospitality research
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• v.14 no.2
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• pp.46-60
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• 2008

In the hotel industry, there are the production and consumption of services at the same time, considering direct contact between employees and customers. In this respect, this study was conducted based on more practical factors to grasp employees' feelings and conflicts. The results of this research are as follows. First, individual conflicts among hotel banquet employees influence devotion to the organization which has a direct effect on performance of management. Second, such devotion is closely correlated with the factors of the performance of management. Finally, managing employees' conflicts is the key factor to promote the performance of management. Under these circumstances, there should be more concern in solving problems among employees and special pro-grams for promoting job satisfaction and devotion which bring about more profits as well as a sense of achievement.

• Journal of Distribution Science
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• v.14 no.4
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• pp.81-92
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• 2016

Purpose - In recent years, management scholars have expressed growing interest in the concept of person-Job fit because of having many benefits for employees' attitudes and behaviors. The related research is needed to determine what specific types of fit are related to each other, and to get important individual outcomes. Person-job fit of employees in service organization plays an important role in company as well as person in service industry. Person-job fit, representing the consistency between person (service provider) and job (service provided to the customers), gives significant and positive effects on the attitude and behavior of service provider. On the basis of the study background, the purpose of this study is as follows. First, we would like to examine the effects of person-job fit of service provider on their emotional intelligence. Emotional intelligence is divided into four sub-factors such as self-understanding, understanding others, emotional utilization, and emotional regulation. Second, we would like to identify the relationships between job satisfaction and sub-factors such as self-understanding, understanding others, emotional utilization, and emotional regulation. Research design, data, and methodology - We performed structural equation model using Spss 18.0 and Amos 20.0 in order to verify the hypotheses. Subjects were golf service assistants who were high-touching service with high degree in interaction and long contact time with customers. 178 out of the total 200 surveys were used in evaluation from helpers of golf service working as full-time service provider after selecting two locations of golf course located near Busan. From the evaluation of reliability and validity with variables used in this research, they satisfied and confirmed certain standard. Results - The results are as follows. First, as the results of identifying the relationships between person-job fit and emotional intelligence of service provider, person-job fit did not have positive and significant effect on self-understanding. On the other hand, it affected positively and significantly other factors in emotional intelligence such as emotion to others, emotional utilization, and emotional regulation. Second, as the results of identifying the relationship between emotional intelligence and job satisfaction, sub-factors in emotional intelligence such as emotion to others, emotional utilization, and emotional regulation except self-emotion affected significantly and positively job satisfaction. However, self-emotion did not have significant and positive effects on job satisfaction. Conclusion - These results will be valuable and used for service providers. In addition, many service providers will recognize that person-job fit is very important to get a job. This research has a purpose on the assumption that appropriateness between individual and task in service industry shall act as major influence in emotional intelligence of service provider. Recognitive ability of service provider is also very important per characteristics of service, but emotional intelligence that interacts and connected directly with most customers can be a very meaningful factor as well. Emotional intelligence allows people to recognize, understand, and empathize the emotion of customers shall be a positive reinforcement for customers to evaluate the service ultimately.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.23-37
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• 2012

Illegal game players' hacking and propagation of malignant code in online game exposes privacy of online game customers. So, online game companies have to support the standardized systems and operations of customers' privacies. Since online game companies implement authentication of information protection, which focuses on assets or physical, systemic security, they need a more professional system that is related to protection of individual privacy. We analyzed the individual information protection system, which includes ISO27001, ISMS of KISA, GMITS, ePrivacy, online game privacy protection guide, and BS10012. Using the suggested systems, we proposed the systemic tools that measure the level of individual information protection, which includes process and check items of each phase.

• Journal of Distribution Research
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• v.11 no.4
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• pp.97-124
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• 2006

This study investigates the relationship between the relationship marketing factors, relationship quality and store loyalty in retail specialty stores. The customization of a retail specialty store was found to be having a larger effect on relationship quality than other factors such as expertise, bonding and communication and the moderating effects of customer characteristic was found be having a larger effect on relationship quality all factors except to communication. The result of this study has some practical implications. First of all, the customization strategy for individual customers is needed because customers trusted employees who provide a customized service more. Second, the employees' expertise is important to obtain the trust of customers. Third, the findings of the study showed that the communication with employees did not affect the trust. Rather, customers more often want price discounts, useful information, other benefits related to transactions. The communication is also necessary to bond a strong relationship with customers, as well as to respond customer's requests immediately Fourth, the marketing managers of the store have to effectively manage the customer relationship with the special consideration to the customer's gender, transaction experience, and variety seeking disposition.

• The Journal of Information Systems
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• v.26 no.2
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• pp.63-83
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• 2017

Purpose: In Korea, market size of social commerce has been increased steadily and highly, but profits of social commerce companies have been decreased because of excessive marketing cost. To overcome this stagnant market environment, new marketing strategy that could attract customers and make customers continue to use social commerce is required instead of cost consuming marketing strategy. The purpose of this study is to investigate the relationship among characteristics of social commerce - that is, economic value and information quality - usefulness, enjoyment, satisfaction and repurchase intention by applying motivation theory to the area of social commerce. Design/Methodology/Approach: Previous researches have been studied by applying Expectation-Confirmation Model (ECM), Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and Stimulus-Organism-Response (S-O-R) Model, although there are many studies related with customer acceptance model in the field of e-commerce. However, there is not so many studies in applying motivation theory. So this study adopts new approach to examine why customers use social commerce based on motivation theory. Thus, this study adopts economic value and information quality as antecedents, and then customers will perceive extrinsic and intrinsic motivation; usefulness is extrinsic and enjoyment is intrinsic, and adopts satisfaction and repurchase intention as a dependent variable. The data of questionnaire were collected from customers who have experience to buy something in social commerce. 228 questionnaires as data unit of individual level were collected using random sampling. Findings: This study proved empirically that the relationship between antecedents and motivation factors has a positive influence, and motivation factors also have a positive influence on repurchase intention through satisfaction. This study provides the managers an insight that social commerce companies should pay more attention to improve customer satisfaction in order to increase higher performance in repurchase intention of social commerce.

• Journal of the Korean Society of Costume
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• v.66 no.4
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• pp.1-17
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• 2016

Fashion stores have to change to fit such the taste of individual customers taste and try to give unique experiences to the customers. They need to develop a special space that entertains customers, and entices them to visit and revitalize the off-line stores. This paper aims to analyze the experimental factors of stores, and how each of the factors impact customer experience in order to find out its effect on store satisfaction and store loyalty. Data was analyzed by using SPSS 18.0 and AMOS 18.0. Results of this study are as follows. First, Visual, Tactile, and Gustatory are the main senses that influence the emotional experience of the customers on a store visit. Second, three factors that influenced customer experience in experimental fashion stores are 'Causing Interest', 'Causing Concern', and 'Causing Relationship.' Third, the 'Causing Interest' factor and the 'Causing Concern' factor showed positive correlation with store satisfaction, while the 'Causing Relationship' factor did not impact store satisfaction, which affected store loyalty. Fourth, each experimental fashion stores can have different effect to consumer satisfaction and loyalty. Also, fashion store brands without an experimental store can cause various effects to consumers when a flagship store with an array of product information is formed. The conclusion drawn from this study will provide a guideline for fashion stores attract faithful customers by improving their store environment.