• Journal of Distribution Science
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• v.13 no.10
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• pp.101-108
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• 2015

Purpose - The convenience store business sector in South Korea has contributed to economic growth and job creation, and the growth potential of this market segment remains very high. In addition, service value is a more important factor than price in determining purchase intention. Research in the convenience store market is relatively very low compared to other retail sectors. In particular, research on service quality for the convenience of retailers who examine and analyze customer behavior and service quality factors used in the convenience store side of the situation is very inadequate. We have investigated the relationship of store service quality, service satisfaction, and store loyalty. In addition, we have examined the way service value moderates the relationship among these variables. Research design, data, and methodology - The questionnaire was developed using modified and supplementary questions based on the KD-SQS and RSQS models. The study suggested a theoretical model composed of 15 hypotheses on the relations between theoretic variables, and surveys conducted with consumers in discount stores in the Seoul and Gyunggi Metropolitan area in order to verify the hypotheses. We used the SPSS/PC statistical packages to analyze the results. The number of surveys used was 227. Moreover, a structural equating model was also used to analyze the reliability and validity of the composing elements and to verify the suggested hypotheses. Results - The overall results of this study are as follows. First, all service quality elements have a significant effect on service satisfaction. Second, all service quality elements have a significant effect on store loyalty. Third, service satisfaction has a significant effect on store loyalty. Finally, when the participants were divided into high and low service value the results of the multiple regression analyses showed that only the relationship between policy of service quality and satisfaction, and human interaction and policy of service quality and loyalty were significant. The implications are discussed based on the findings of the study. Conclusions - First, through direct hypotheses testing, we confirmed that the convenience service quality positively impacts the service satisfaction and loyalty of buyers. In particular, the reliability, origin benefit, and promotion were found to have more influence on satisfaction and loyalty of consumers of a convenience store. Further, for the service quality of the convenience for the consumer loyalty, greater human interaction was a high-value and statistically significantly higher than the degree of improvement in consumer loyalty. This underscores the importance of education and human services management of employees working in a convenience store. In particular, frequent changes in personnel generate results that negatively impact loyalty with customers. These results may lead to a serious problem in the economics of the store. Therefore, it should enhance the value of services through the establishment of training and compensation for employees. In addition, a certain educational level is required as well as a basis for compensation and retention.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.163-174
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• 2020

The market for electric vehicles is growing due to the public's interest in the environment and the expansion of electric vehicle support projects in terms of government policy. This study surveyed 2,332 people in Jeju, one of the nation's representative areas of electric vehicles, and the higher the perceived value in terms of the total cost of automobile ownership for electric vehicles, the higher the intention to purchase electric vehicles. The higher the level of knowledge and attachment, the higher the intention to purchase electric vehicles. While many previous studies considered economic value mainly as price, the study was conducted to approach economic value in terms of total cost of ownership. Marketing practitioners also look for practical contributions in that they can propose price framing so that customers can judge the economic value of the electric vehicle as a strategic way to increase the intention to purchase the electric vehicle, rather than just the purchase price. can see. In addition, the same research should be conducted in various regions besides Jeju, so that the research results can be generalized.

• International Commerce and Information Review
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• v.13 no.1
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• pp.245-270
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• 2011

It is known that weak competitiveness of micro enterprises can be overcome when they are organized with enterprise associations, franchise systems, and joint affiliation. In this paper, we empirically analyze the determinants of organization of micro enterprises, and propose the policy implementations to enhance the competitiveness of micro enterprises as a measure to reduce trade conflict due to SSM entry restrictions. Logit estimation results based on survey data consisted of 467 samples, show that insufficient labor force and high material costs had negative effects on organization. The unexpected findings generally support the rationale that organization is not helpful to solve insufficient labor force and high material costs. However, the decrease in sales due to the economic recession and the decreasing number of customers due to customer transition to large enterprises had a more positive effect on organization than usually expected. There are differences in estimation results between two types of business(restaurants and retail). In case of the restaurant business, insufficient labor force, high material costs and a decreasing of number of customers are important factors for organization, while the sales decrease is a relatively important factor in the case of retail businesses.

• International Commerce and Information Review
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• v.18 no.1
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• pp.55-78
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• 2016

This paper discusses on Electronic Payment System between U.S.A. and Canada. In particular, I focused on ACSS compare with FedACH(Fed Automated Clearing House) to advance a research effects. Because both of them is a low-value, high-volume retail payment system which their countries represent. The ACSS(Automated Clearing Settlement System) is the system through which the vast majority of CPA payment items are cleared, through various payment streams. In 2014, ACSS system cleared approximately 6.8billion payments worth a total value of $ 44.9 trillion. While, The FedACH Network are the center of America Commerce, moving more than $40 trillion each year. That's made up of almost 23 billion electronic financial transaction, including direct deposit via ACH, social security and government benefits, electronic bill payments such as utility and mortgage payments. Thus in this article, first of all, I considered features of payment system and the types of payment items between ACSS and FedAch. Second, I analyzed the status of central bank and legal background. Third, I focused on the operational policy and risk aversion policy. Lastly, I suggested that their payment and banking system have to assume, with good reason, more efficiently accurately and securely operation to protect their customer from credit risk and financial fraud.

• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.173-185
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• 2019

Causal questions are prevalent in scientific research, for example, how effective a treatment was for preventing an infectious disease, how much a policy increased utility, or which advertisement would give the highest click rate for a given customer. Causal inference theory in statistics interprets those questions as inferring the effect of a given intervention (treatment or policy) in the data generating process. Causal inference has been used in medicine, public health, and economics; in addition, it has received recent attention as a tool for data-driven decision making processes. Many recent datasets are observational, rather than experimental, which makes the causal inference theory more complex. This review introduces key concepts and recent trends of statistical causal inference in observational studies. We first introduce the Neyman-Rubin's potential outcome framework to formularize from causal questions to average treatment effects as well as discuss popular methods to estimate treatment effects such as propensity score approaches and regression approaches. For recent trends, we briefly discuss (1) conditional (heterogeneous) treatment effects and machine learning-based approaches, (2) curse of dimensionality on the estimation of treatment effect and its remedies, and (3) Pearl's structural causal model to deal with more complex causal relationships and its connection to the Neyman-Rubin's potential outcome model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.151-161
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• 2021

The purpose of this study was to identify citizens' needs and what they perceive the health-related problems are so public opinion can be reflected in the Daegu Community Health Plan. A citizen participation group was organized, and two roundtable discussions were held in June and July 2018. The number of participants in the first and second round was 40 and 44, respectively. Customer itinerary guidance, DVDM (Definition, Value, Difficulty, and Method) Map, and Persona-based scenario method were used for the roundtable discussions. The measures to improve the health status proposed by the citizens included expanding access to health services, establishing health services centered on small-living areas, expanding mental health services, creating health-friendly environments, resolving environmental problems, and improving social health. In addition, enhancing communication and creating harmonized environments, improving access to healthcare, generating pleasant physical environments, and assigning socials roles for vulnerable individuals were brought up as the means to resolve health disparities. The strength of the present study lies in the fact that, unlike survey methods, the citizens' exact needs were identified by sharing their thoughts. Moreover, it was proven that practical measures would be needed to implement citizen participation in planning health-related projects.

• Journal of Digital Policy
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• v.3 no.2
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• pp.1-14
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• 2024

The purpose of this study was to analyze the effect of SNS marketing characteristics on hair shop image formation and visit intention in the hair beauty industry. SNS marketing is a strategy to carry out marketing activities through interaction with customers, information provision, information trust, and playfulness using modern social media platforms. It was intended to analyze how these characteristics of SNS marketing affect the formation of hair shop images and visit intention to customers in the hair beauty industry. For the study, a total of 307 customers with experience using hair-related SNS were surveyed. The questionnaire included items related to SNS marketing characteristics, hair shop images, and visit intention, and the collected data was statistically analyzed using SPSS 26.0. The results of the research problem were derived by applying analysis methods such as frequency analysis, factor analysis, reliability analysis, correlation analysis, simple regression analysis, multiple regression analysis, and mediated regression analysis. As a result of the study, it was found that information provision, information reliability, playfulness, and interaction, which are characteristics of SNS marketing, have a positive effect on the formation of hair shop images. In addition, it was confirmed that the hair shop image had a positive effect on the intention to visit. In addition, it was found that the hair shop image plays a mediating role between the SNS marketing characteristics and the intention to visit. This provides important insights that can improve image formation and customer visit intention in the hair beauty industry through SNS marketing.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.187-204
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• 2016

Document classification based on emotional polarity has become a welcomed emerging task owing to the great explosion of data on the Web. In the big data age, there are too many information sources to refer to when making decisions. For example, when considering travel to a city, a person may search reviews from a search engine such as Google or social networking services (SNSs) such as blogs, Twitter, and Facebook. The emotional polarity of positive and negative reviews helps a user decide on whether or not to make a trip. Sentiment analysis of customer reviews has become an important research topic as datamining technology is widely accepted for text mining of the Web. Sentiment analysis has been used to classify documents through machine learning techniques, such as the decision tree, neural networks, and support vector machines (SVMs). is used to determine the attitude, position, and sensibility of people who write articles about various topics that are published on the Web. Regardless of the polarity of customer reviews, emotional reviews are very helpful materials for analyzing the opinions of customers through their reviews. Sentiment analysis helps with understanding what customers really want instantly through the help of automated text mining techniques. Sensitivity analysis utilizes text mining techniques on text on the Web to extract subjective information in the text for text analysis. Sensitivity analysis is utilized to determine the attitudes or positions of the person who wrote the article and presented their opinion about a particular topic. In this study, we developed a model that selects a hot topic from user posts at China's online stock forum by using the k-means algorithm and self-organizing map (SOM). In addition, we developed a detecting model to predict a hot topic by using machine learning techniques such as logit, the decision tree, and SVM. We employed sensitivity analysis to develop our model for the selection and detection of hot topics from China's online stock forum. The sensitivity analysis calculates a sentimental value from a document based on contrast and classification according to the polarity sentimental dictionary (positive or negative). The online stock forum was an attractive site because of its information about stock investment. Users post numerous texts about stock movement by analyzing the market according to government policy announcements, market reports, reports from research institutes on the economy, and even rumors. We divided the online forum's topics into 21 categories to utilize sentiment analysis. One hundred forty-four topics were selected among 21 categories at online forums about stock. The posts were crawled to build a positive and negative text database. We ultimately obtained 21,141 posts on 88 topics by preprocessing the text from March 2013 to February 2015. The interest index was defined to select the hot topics, and the k-means algorithm and SOM presented equivalent results with this data. We developed a decision tree model to detect hot topics with three algorithms: CHAID, CART, and C4.5. The results of CHAID were subpar compared to the others. We also employed SVM to detect the hot topics from negative data. The SVM models were trained with the radial basis function (RBF) kernel function by a grid search to detect the hot topics. The detection of hot topics by using sentiment analysis provides the latest trends and hot topics in the stock forum for investors so that they no longer need to search the vast amounts of information on the Web. Our proposed model is also helpful to rapidly determine customers' signals or attitudes towards government policy and firms' products and services.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.95-105
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• 2013

Recently, SME's Collaboration activities have become one of a vital factor for sustaining competitive edge. This is because of the rapidly changing and competitive market environment, and also to leverage performance by overcoming obstacles of having limited internal resources. Discussing about the effects and relationships of the firm's collaboration activities and its outputs are not new. However, as ICT and various technologies have been diffused into the traditional industries, boundaries and practice capabilities within the industries are becoming ambiguous. Thus contents of the products/services and their development methods are also go and come over the industries. Although many researchers suggested the relations of SME's collaboration activities and innovation performances, most of the previous literatures are focusing on broad perspectives of firm's environmental factors rather than considering various SME's idiosyncrasy factors such as their major product and customer types at once. Therefore, the purpose of this paper is to analyze how SME(Small Medium Enterprise)'s external collaboration activities by their idiosyncrasy act as an input to types of innovation performance. In order to analyze collaboration effects in detail, we defined factors that can represent the SME's business environment - Perceived importance of using external resources, Perceived importance of external partnership, Collaboration and Collaboration levels of Major Product types, Customer types and lastly the Firm Sizes. We have also specifically divided the performance of innovation types as product innovation and process innovation based on existing research. In this study, the empirical analysis is based on Probit Regression Model to observe the correlations with the impact of each SME's business environment and their activities. For the empirical data, 497 samples were collected which, this sample data was extracted from the 'Korean Open Innovation Survey' performed by ETRI(Korean Electronics Telecommunications Research Institute) in 2010. As a result, empirical test results indicated that the impact of collaboration varies depend on the innovation types (Product and Process Innovation). The Impact of the collaboration level for the product innovation tend to be more effective when SMEs are developing for a final product, targeting on for individual customers (B2C). But on the other hand, the analysis result of the Process innovation tend to be higher than the product innovation, when SMEs are developing raw materials for their partners or to other firms targeting on for manufacturing industries(B2B). Also perceived importance of using external resources has effected to both product and process innovation performance. But Perceived importance of external partnership was statistically insignificant. Interesting finding was that the service product has negative effects on for the process innovation performance. And Relationship between size of the firms and their external collaboration activities with their performance of the innovations indicated that the bigger firms(over 100 of employees) tend to have better for both product and process innovations. Finally, implications of the results can be suggested as performance of innovation can be varied depends on firm's unique business idiosyncrasy as well as levels of external collaboration activities. The Implication of this research can be considered for firms in selecting an appropriate strategy as well as for policy makers.

• Quality Improvement in Health Care
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• v.7 no.1
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• pp.118-131
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• 2000

Background : A continuous healthcare quality improvement is needed to provide high quality healthcare service as well as to maintain trust in terms of satisfying the needs of the patients. Recently it also became an essential issue. in hospital management, recognized for it's competitive potentiality among healthcare organization groups. This study was conducted to analyze patient complaints and issues received by the Quality Improvement Department. Its purpose is to improve healthcare qualities within the hospital, as well as establish policies and appropriate strategies in hospital management. Method : From July 1st to September 30th of the year 1999, we analyzed all complaints and issues made by various patients and their families, which were received through 24 hour phone consultation, numerous suggestion boxes, letters and E-mails, The issues were classified into 16 different categories based on a Patient Satisfaction Assessment Tool. All data were segregated according to the departmental frequencies and their contents. To come up with for environmental and patient satisfaction improvement, all complaints or issues were communicated with hospital administrators, medical and nursing staff and employees. Comprehensive customer satisfaction activities including improving phone etiquette were discussed in Customer Satisfaction Team, CQI Team and each Department. All opportunities for improvement were implemented. Feedback actions were discussed. Results : A total of 317 cases were collected. Issues regarding parking and other accommodation facilities were most common complaints that were 14.5% of total. Issues regarding admission rooms (10.7%), admission procedures (10.7%), waiting room environment (8.8%), nurses and nurse assistants (7.6%), physicians (6.6%) and others (23%) followed. Thirteen of 45 departments received more than 8 complaints. The Nursing Department had the most complaint, receiving 9.8% of total complaints. Complaints regarding the Nursing Department were predominantly related to the environment of patient rooms. The Department of Psychiatry for phone etiquette (4.7%), Department of Otolaryngology for the nursing staff's attitude and phone etiquette (4.4%), and the Admission Department followed. As a part of efforts to improve patient satisfaction, a new parking structure was built and reallocation of the parking space was done. Renovation of other accommodation facilities were carried out by hospital administration, Monthly phone call and answering attitude survey was done by QI Department. Based on this survey we made a phone etiquette manual and distributed throughout the hospital. Compare to the last year, Patient Satisfaction Index measured by Korea Productivity Center using National Customer Satisfaction Index was improved 7 points. According to our organization's own study, we confirmed the phone etiquette was improved 11% than last year. Conclusions : Issues related to parking and other accommodation facilities ranked first followed by complaints made regarding the patient care area, the admission and cashier process, and nurses' and doctors' attitude. The Nursing and Psychiatry Departments need improvement regarding phone etiquette. Results were shared and played a vital role in policymaking and strategic planning of the hospital. It is imperative that we keep our database updated by listening to and solving the needs of each patient. The CQI activities can be achieved only by full commitment of the hospital top management supported by related personal.