• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.109-120
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• 2021

Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.

• Journal of Distribution Science
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• v.11 no.2
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• pp.35-44
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• 2013

Purpose - Until recently, studies on customer values for restaurants recognized two path structures; the SERVQUAL model, that is, service quality? perceived value? customer satisfaction? behavioral intention, and the customer value? customer satisfaction? behavioral intention path that categorizes customer values into functional value and hedonic value. This study, instead, classifies the consumption values of fast-food restaurants based on the consumption value system provided by Sheth, Newman and Gross (1991) and illustrates the new path structure, consumption value? customer satisfaction? behavioral intention, targeting college students for a generalization of the consumption value system of fast-food restaurants. Research design, data, and methodology - This study establishes five hypotheses based on the relationship between each type of consumption value (functional, emotional, social, and epistemic) and customer satisfaction, and the relationship between customer satisfaction and behavioral intention. For this analysis, data was collected by conducting a pre-test and administering a survey to 213 college students who are regular customers at fast-food restaurants in Seoul, Korea. The data collected was then analyzed using SPSS 15.0 and AMOS 6.0 statistical packages. Results - The study showed that: First, the consumption values of fast-food restaurants are classified into the following four categories: functional value, emotional value, social value, and epistemic value while consumption value can be applied to customer value of fast-food restaurants. Second, the functional and epistemic values had a positive impact on customer satisfaction. The resulting satisfaction is attributed to the intrinsic characteristics of fast-food restaurants like the consistent quality of food, reasonable prices, fast service, and unique or new experiences on every visit. On the other hand, emotional and social values did not affect customer satisfaction. The results on emotional value differed from the general studies on restaurants while the results obtained for social value were not consistent with the studies on high-end restaurants. Third, customer satisfaction had a positive impact on behavioral intention. The survey showed that college students reflected behavioral intention - repurchase intention and word-of-mouth - if they were satisfied with the food quality and employee services provided. Simultaneously, it was seen that the impact of functional value on customer satisfaction of fast food restaurant goers was more than that of epistemic value. Conclusions - The consumption values of fast-food restaurant users could be classified into four categories, functional, emotional, social and epistemic values, based on the consumption value system provided by Sheth, Newman and Gross (1991). It proved that the customer values of restaurant goers can be extended to the path structure of consumption value? customer satisfaction? behavioral intention to confirm its generalization. The study also showed that marketing managers need to focus more on the factors that influence functional value as the fast-food restaurant users consider timely services with the consistent quality of food at a reasonable price and at a convenient place more important than the new experiences or uniqueness.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.120-125
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• 2006

This study attempts to investigate a general service sector model which aims to describe the extent to which customer repurchase intention is influenced by customer satisfaction, customer loyalty, switching cost. 195 consumers in service sector were used into data analysis. The data were analyzed by factor analysis and Structural Equation Model using SPSS and AMOS program. The results show that nearly all of the hypothesized relationships construct are supported. First, the direct effects of customer satisfaction on customer loyalty and switching cost were com firmed. The service company not only strengthens customer loyalty, but also strategically makes the most use of switching cost to satisfy customer satisfaction and create sustainable company advantages. Second, the interactive relationships among switching cost and customer loyalty were very significant. The proper management of these mediating variables plays key roles in connecting customer satisfaction with repurchase intention. Third, the effects of customer loyalty and brand preference on repurchase intention were supported but switching cost rejected in the path analysis. Implications of the results for path analysis are discussed and future research directions are offered.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.294-301
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• 2006

This study attempts to investigate a general service sector model which aims to describe the extent to which customer repurchase intention is influenced by customer satisfaction, Customer loyalty, switching cost. This study attempts to investigate different group. Brand group 1 is higher Brand loyalty than Brand group 2. Brand Group 1 is 276 and Brand Group 2 is 271 consumers in service sector that they were used into data analysis. The data were analyzed by factor analysis and Structural Equation Model using SPSS and AMOS program. The results show that nearly all of the hypothesized relationships construct are supported. First, the direct effects of customer satisfaction on customer loyalty and switching cost were confirmed. The service company not only strengthens customer loyalty, but also strategically makes the most use of switching cost to satisfy customer satisfaction and create sustainable company advantages. Second, the interactive relationships among switching cost and customer loyalty were very significant. The proper management of these mediating variables plays key roles in connecting customer satisfaction with repurchase intention. Third, the effects of customer loyalty and brand preference on repurchase intention were supported but switching cost rejected in the path analysis. Implications of the results for path analysis are discussed and future research directions are offered.

• Journal of Distribution Science
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• v.11 no.12
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• pp.51-62
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• 2013

Purpose - A pre-study on service quality-based customer value is conducted with the path structure (perceived value of service quality→customer satisfaction→behavior intention) based on the hierarchical model of service quality including interaction and outcome quality, physical environment quality and the SERVQUAL model of process quality, namely, reliability, responsiveness, assurance, empathy, and tangibles. In addition, customer value in the service industry is studied by dividing into the two-way structure of utilitarian and emotional values. This study classifies customer values of family restaurants through the customer value model based on the 4×4 matrix needs system of Jeon and Kim (2009). It illustrates the path structure of customer value→customer satisfaction→behavior intention targeting college students in order to generalize the customer value system of family restaurants. Research design, data, and methodology - This study established seven hypotheses based on the relationship between each type of customer value (food quality, convenience, social, emotional, interior quality, service encounter, and purchasing) and customer satisfaction, and the relationship between customer satisfaction and behavior intention. The study data were collected from students in the Department of Business and Tourism at Kimpo University. In all, 294 survey papers were returned of the 300 distributed: 253 pieces were used in the final analysis excluding 41 with insufficient and less effective answers. For statistical analysis, the statistics software package SPSS 15.0 was used. Results - The results of the analysis are as follows: first, the customer values of family restaurants are classified by seven customer values: goods quality value, emotional value, convenience value, social value, purchasing value, service encounter value, and inner quality value. Second, emotional value, purchasing value, service encounter value, and inner quality value had positive impact on customer satisfaction. In particular, purchasing value through being included in functional value was not classified in the previous study; however, this study could classify and generalize this value in a new way. Finally, customer satisfaction had a positive impact on behavior intention. This showed that college students had behavior intention - repurchase intention and word-of-mouth - because they could be content with the food items on the menu and the service provided by employees. Conclusions - The main points based on the above-mentioned results are as follows. This study with college students as study subjects could be classified into four dimensions, namely, generic value, usage value, purchasing value, and physical value and seven sub-dimensions on customer values of family restaurants based on a 4×4 matrix needs system. Then, to confirm its generalization, the path structure of customer value→customer satisfaction→behavior intention was verified. While existing pre-studies used simplified values by classifying restaurant values largely as utilitarian value and hedonic value, this study classified various forms of customer value, and that customer value especially could be expanded by adding purchasing value. As a result, it is shown that marketers need to diversify their customer services because this study proved that customer values can be classified in various ways based on customer needs.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.39-56
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• 2012

Technological advancements in information technology including RFID and mobile technologies have made it feasible to track the customers travel path in a store. The customer travel paths provide valuable implications to understanding the customer behaviors in a store. In our research, we develop a shopping path analysis system to track and analyze the customer travel path. The proposed system consists of RFID systems for collecting the customer paths and analysis system. The analysis system conducts clustering for identifying the distinctive shopping patterns, and analyzes the profile of a grocery, such as congestion rate, visiting rate, and staying time, etc. We show the applicability of our proposed system using the actual data obtained at a grocery in Seoul as a case study.

• Korean Management Science Review
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• v.23 no.2
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• pp.41-57
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• 2006

The purposes of this research are to identify causalities among flow and customer loyalty In Chinese online games, and to identify the factors by which flow are influenced. This research tests the model with Chinese on-line game users and compare this result with Korea and Japanese results which were conducted by Lee's research. These implications are thought to be helpful for Korean online game companies to understand the Chinese online game user and to develop the penetration strategies. The results indicated that significant Path coefficients to flow were the convenience of operator, the provision of information, the reality of design. The results indicated that significant path coefficients to customer loyalty were the involvement of virtual community and flow. The involvement of virtual community to flow was not significant but to customer loyalty was significant. The provision of information was negatively influenced on flow. The result of comparison indicated that the path coefficients were different among nations. Korea online game companies need to develop the indigenized online game and to Provide the information to their Chinese partner correctly and quickly.

• Knowledge Management Research
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• v.6 no.1
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• pp.1-17
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• 2005

Both knowledge management and BSC practices are in its inception in the tourism field, and the study explores the relationships between knowledge and BSC perspectives using correlations and path analysis. The purpose of this study was to explore the casual relationships among tourist destination knowledge and BSC performance perspectives. The study model added knowledge perspectives to the usual BSC model (with customer, growth and learning, internal process, and financial perspectives), in addition to the modification of the financial perspectives to economic, socio-cultual and physical impact. The study found out that knowledge supports learning and growth perspectives greatly, and less extent, internal processes and customer perspectives. Learning and growth affects internal processes and customer perspectives. Internal process supports customer perspectives. Both customer and, less extent, internal process have impact on the final results. The final analysis results were different by destination type. The study concludes with recommendations for further studies including rational BSC model for tourist destinations and relationships between BSC performance indicators.

• Journal of Fashion Business
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• v.18 no.1
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• pp.1-21
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• 2014

This study exceeds the view on the fragmentary fact-finding surveys related to the application of mobile commerce which further develops the evaluation model of fashion mobile commerce website and considers the validity of comprehensive fashion mobile commerce with quality evaluation factors according to the Task-Technology Fit. To fulfill the study objectives, a total of 433 questionnaires are being conducted to the customers with first-hand experience on fashion merchandises through mobile commerce. The judgement sampling method is employed according to the sample population ages from 20s to 30s during two months period. Based on the results of the above-mentioned path analysis, we have observed the following: First, the path relation analysis results show that the M-marketing (M-marketing) between perceived usabilities had effects to the perceived usability and the M-sales had effects to the perceived usability. Second, as seen from the fashion mobile shopping conformance (TTF), the perceived usability, customer satisfaction, and path pipe analysis result conformances between perceived values and immersions have effects of perceived usability, customer satisfaction and perceived value, and thus, indicate that the perceived usability had effects on the customer satisfaction and immersion. Third, the customer satisfaction, perceived value and immersion all have effects on the purchasing intention.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1574-1586
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• 2016

The aims of this research is to build Customer Delight index contents model for measuring the influential factors - Customer Delight and identify the relationship among Customer Delight, Customer Satisfaction and Customer Loyalty. Customer Delight hypothesis model was proposed by Catering Service Industry of Starbucks and validate the final questionnaire; 7 point Likert scale was used in the questionnaire, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) are used to analyze the reliability. And path analysis was used to evaluating the final hypothesis model. The results of this research was that the customer Self-involvement can lead to high awakening level and it also bring positive emotion to the customer. Awakening Level and positive emotion were the key factors for the Customer Delight. Instead of customer expectation, Customer Delight is based on customer awakening level and positive emotion which is different from Customer Satisfaction model. It is clearly to see the discrepancies between Customer Delight and Customer Satisfaction.