• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.4
• /
• pp.56-64
• /
• 2020

Service quality research is being conducted actively to improve customer satisfaction in various fields, but no research has been done on the service quality of small arms in the national defense. To enhance the user satisfaction and quality of small arms, this study aimed to derive the main quality attributes, measure the current level of satisfaction, and explore the elements requiring improvement. For this, a questionnaire survey based on the Kano model and SERVQUAL model was conducted on the identified service quality factors through discussions of experts involved in the production, quality assurance, and operation. All service quality factors were classified as one-dimensional elements, and an analysis of the Kano-SERVQUAL integrated approach showed that the user's expectation and dissatisfaction coefficient had a strong positive correlation with a 1% significance level, and user's perception value and satisfaction coefficient had a negative correlation with the 1% significance level. Using the Kano-SERVQUAL integrated approach, the priority service quality attributes for small arms requiring improvement among the many areas of service quality could be identified. Overall, it is expected that service-quality-level measurements can be used to improve the quality level of munitions as well as user satisfaction.

• Korean journal of food and cookery science
• /
• v.31 no.6
• /
• pp.749-755
• /
• 2015

The objectives of this study were to evaluate the gap between perceived importance and performance of foreign Chinese students' off-campus restaurants selection attributes and to analyze the factors affecting their satisfaction with off-campus restaurants. All statistical analyses were conducted using the SPSS package program (ver. 20.0). In summary, Importance-Performance Analysis results indicated that 'price propriety', 'ventilation of dining room' and 'friendliness of employees' were key aspects that should be reinforced by off-campus restaurant managers. Additionally, exploratory factor analysis on the validity of the 23 attributes of off-campus restaurant selection resulted in the identification of 5 factors including 'food quality and price', 'physical environment and value', 'service environment', 'service quality', and 'convenience and cleanness'. According to the results of multiple regression analysis, 'service quality', 'service environment', 'food quality and price', and 'physical environment and value' had significantly positive effects on overall satisfaction. In conclusion, in order to increase customer satisfaction among Chinese students, off-campus restaurant managers should improve not only the quality of service and food, but also the physical and service environment.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.6
• /
• pp.163-172
• /
• 2012

Collaborative filtering which is used explicit method in a existing recommedation system, can not only reflect exact attributes of item but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. This paper proposes the personalized recommendation system using RFM method and k-means clustering in u-commerce which is required by real time accessablity and agility. In this paper, using a implicit method which is is not used complicated query processing of the request and the response for rating, it is necessary for us to keep the analysis of RFM method and k-means clustering to be able to reflect attributes of the item in order to find the items with high purchasablity. The proposed makes the task of clustering to apply the variable of featured vector for the customer's information and calculating of the preference by each item category based on purchase history data, is able to recommend the items with efficiency. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.

• The Journal of the Korea Contents Association
• /
• v.22 no.2
• /
• pp.487-500
• /
• 2022

This study aims to examine visitors' usage intention of the mobile AR(Augmented reality) application for tourism in Korea. For this purpose, the study analyzed how three attributes of AR tourguide app such as interactivity, vividness, and novelty have influenced on the tourist in terms of three realms of their flow, their experience (education, entertainment, esthetics, and escapism), and their usage intention for the future. It conducted an online survey from 20 to 30 year-old 291 participants and used a structural equation modeling. Survey findings show that first, novelty has a positive influence on the state of flow in AR application after vividness; Interactivity does not any significant effect on the tourists' flow. Second, when tourists explore the flow in the AR tourguide app, it affects all realms of experience economy of education, entertainment, esthetics, and escapism. Third, when using AR tour guide app in the context of historical heritage site, the two dimensions of entertainment and education influence the usage intention but the other two of esthetics and escapism does not. This study has presented a theoretical contribution that it focuses on historical sites as one type of tourist attractions and suggests a new modeling integrating AR attributes, flow, experience, and usage intention. In addition, it can be used to become a practical reference for revising an user-oriented AR application and customer-tailored AR tourism.

• Information Systems Review
• /
• v.24 no.3
• /
• pp.43-68
• /
• 2022

With the growing demand for online food delivery (OFD) services via Online to Offline (O2O) platforms, it is required for academic researchers to identify the success factors of OFD businesses. In line with this, this research examines the impact of the core service attributes of a restaurant (hygiene, interactivity, trust,and popularity) on business success in the OFD platform context from the perspective of information asymmetry. Furthermore, the moderating effects of hygiene factor between the core service attributes and the success of restaurants are evaluated. We utilize 1,146 restaurants registered on the largest OFD platform in Korea. The results of this study demonstrate that hygiene (certification), trust (franchise), popularity (favorite) factors have positive impacts on the success of OFD businesses. Moreover, we find that franchise restaurants with high response rates to customer reviews and inquiries achieve higher sales when they have hygiene certifications than those without the certification do. The key findings bear significant contributions to prior literature by empirically substantiating the pivotal role of service quality signals in fostering restaurant success on the OFD platforms. In addition, this study provides business implications for restaurants in O2O platform.

• Culinary science and hospitality research
• /
• v.20 no.2
• /
• pp.199-213
• /
• 2014

Japanese restaurant owners seek to secure their competitive advantage by implementing a unique competition strategy that may overcome hostile environment. Brand power, aggressive expansion and the partnership strategy with other businesses may be suggested. The present study is to find out the competitive advantages of Japanese restaurants, to compare the importance and satisfaction by different customer factors of choices and then, to identify what kinds of factors affect customer satisfaction. Total 205 copies of questionnaire, out of 230 distributed, were used for analyses. Cronbarch's alpha coefficient of all 20 items was 0.911. In terms of importance, Cronbarch's alpha coefficients were 0.887(food), 0.796(menu), 0.851(employee), 0.815(service), and 0.730(physical environment). For satisfaction, the coefficients were 0.876(food), 0.860(menu), 0.880(employee), 0.851(service), 0.730(physical environment). In addition, the exploratory factor analysis showed an acceptable factor loading, supporting 20 items' validity. The result showed that customers' perceptions of the importance of Japanese restaurant service quality was higher than their level of satisfaction in general. In particular, IPA analysis revealed that food and service factors were well operated as located in the first quadrant. However, service factor located in the second quadrant was perceived to be important yet perceived as being satisfied poorly. So this study suggests that Japanese restaurant owners should concentrate on the attributes included in this quadrant to improve the quality of foodservice. Lastly, menu and physical environment factors were located in the third quadrant showing low level of importance and satisfaction. On the basic of the IPA analysis, Japanese restaurant owners should identify their strengths and weaknesses and draw up a plan to improve service quality and to maximize their profits.

• Journal of Distribution Science
• /
• v.14 no.5
• /
• pp.97-106
• /
• 2016

Purpose - Social commerce is a certain way of how people buy some products together with others through the internet sites with mutual interactions among customers with the benefits of SNS when buying some products. At present, China market has some problems due to its rapid growing. However, empirical research or academic approach to social commerce has not been made enough. So, it is important for Chinese social market to develop and enlarge the customers with stability under the reliability and satisfaction. Also it is important for them to have repurchase intention. Nowadays, it is necessary to find the factors on customer satisfaction and trust, whereas consumers' dissatisfaction and unreliability are increasing on social commerce recently. In addition, researches on social commerce have been actively pursued by a variety of domestic and foreign scholars. However, researches on social commerce and Chinese market are short of, and they have some limitations because of the rapid growth of the market even though it is the early stage. The current situation requires researches on consumers' repurchase intention for continuing growth in the future according to the growth of Chinese social commerce. Research design, data, and methodology - The literature and the empirical studies are combined in order to achieve the purpose of the study. Deriving social commerce features and consumer properties as factors affecting the repurchase intention through the literature, and these factors have modeled a series of assumptions about the impact on satisfaction and trust, and have established hypotheses to verify them. The survey which is conducted to test the hypothesis and questionnaires are derived based on the variables discussed in the previous study. Appropriate measures were developed and tested on 227 respondents in China with a cross-sectional questionnaire survey. The path relationships of the research model were analyzed by SPSS 23.0 and Amos 23.0. Results - Research results about social commerce characteristics and factors affecting the repurchase intention are presented to Chinese market companies that adopt business models and consumer characteristics. In addition, this study focuses on the characteristics of social commerce, from two-dimensional characteristics of the consumer satisfaction, trust and the impact on the repurchase. Therefore, social commerce features and consumer properties based on the results of this study may lead the strategic implications that may increase the repurchase intention. Conclusions - The classification reviewing the previous findings related to social commerce and social commerce features affects social commerce repurchase (price discount, interactivity) and consumer characteristics (impulsivity, innovation, collectivism). It affects repurchase on factors and analyzes empirically. The empirical results identify major characteristics (social commerce characteristics, attributes) that affect the repurchase intention, and give the practical implications as well as the business strategies that are able to enhance social commerce repurchase consumers. Social commerce is a certain way of how people buy some products together with others through the internet sites with mutual interactions among customers with the benefits of SNS when buying some products.

• The Journal of Society for e-Business Studies
• /
• v.22 no.1
• /
• pp.123-146
• /
• 2017

The information that consumers share in the SNS (Social Networking Service) has a great influence on the purchase of consumers. Therefore, it is necessary to pay attention to new research methodology and advertising strategy using Social Big Data. In this context, the purpose of this study is to quantitatively analyze customer value through Social Big Data. In this study, we analyzed the value structure of consumers for the three smartphone brands through text mining and positive/negative image analysis. Analysis result, it was possible to distinguish the emotional aspects (sensitivity) and rational aspects (rationality) for customer value per brand. In the case of the Galaxy S7 and iPhone 6S, emotional aspects were important before the launch, but the rational aspects was important after release date. On the other hand, in the case of the LG G5, emotional aspects were important before and after launch. We can propose two core advertising strategies based on analyzed consumer value. When developing advertising strategy in the case of the Galaxy S7, there is a need to emphasize the rational aspects of product attributes and differentiated functions. In the case of the LG G5, it is necessary to consider the emotional aspects of happiness, excitement, pleasure, and fun that are felt by using products in advertising strategy. As a result, this study will provide a good standard for actual advertising strategy through consumer value analysis. Advertising strategies are primarily driven by intuition or experience. Therefore, it is important to develop advertising strategies by analyzing consumer value through social big data analysis.

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

• CRM연구
• /
• v.2 no.2
• /
• pp.53-70
• /
• 2009

Understanding consumer behavior based on the analysis of the customer data is one essential part of analytic CRM. To do this, the analytic skills for data extraction and data processing are required to users. As a user has various kinds of questions for the consumer data analysis, the user should use database language such as SQL. However, for the firm's user, to generate SQL statements is not easy because the accuracy of the query result is hugely influenced by the knowledge of work-site operation and the firm's database. This paper proposes a natural language based database search framework finding relevant database elements. Specifically, we describe how our TableRank method can understand the user's natural query language and provide proper relations and attributes of data records to the user. Through several experiments, it is supported that the TableRank provides accurate database elements related to the user's natural query. We also show that the close distance among relations in the database represents the high data connectivity which guarantees matching with a search query from a user.