The prenatal care is the preventive medical service to help the pregnant mother deliver the healthy baby. It's regular examines give some chances to check-up the healthy conditions. This thesis concentrates on the CRM system to support an effective prenatal care system and prove the effectiveness of it. As CRM is the adapted management related to the customer's own information, it is important to develop the CRM model classified by the patients characteristics. A general hospital in Busan operated the CRM system to carry out the effective prenatal care and there is an analysis to ensure the effectiveness of CRM system for the pregnant women in our maternity ward. The results can be summarized as follows: 1) According to the comparisons with the CRM system, we can conclude the system is desirable. (1) Maternal Age : In the age distribution, the prenatal visit frequency, triple marker freqency, oral GTT and targeted ultrasonography in the experimental group in 30 to 34 years old is higher on the whole. For over 35 years old group, the higher frequency comes out in the oral GTT and targeted ultrasonography and for 25 to 29 years old group the different figure shows just in the targeted ultrasonography. (2) Area of residence: There is a clear difference in all the items in Busan and near area but no sign of difference in prenatal visits and oral GTT in other residencial area. Especially in the targeted ultrasonography the higher figure shows in the experimental group located in the both areas. The targeted ultrasonography is known as the specific examination which should be examined by the specialists, on the contrary the other examinations can be operated in the small clinic. So the public information and seminars related with ultrasonography increases the check-up frequency. The clinic requests some ultrasonographical examinations to the specialists in general hospital. (3) Parity: The clear difference shows that the CRM system causes the prenatal visit frequency to become higher in experimental group. The figure is 9.7 times and 8.6 times each. This is opposite that the past study said multiparity reduced the average prenatal visits. But the result of CRM is considered as the method to help the multiparity understand the importance of the prenatal care. (4) Obstetrical history: In the experimental group of the spontaneous delivery group, the figure is higher in the prenatal visit frequency, triple marker, oral GTT and targeted ultrasonography but the Caesarean section delivery group has higher figure in targeted ultrasonography. (5) In the first check-up, the rate of targeted ultrasonography in under 16 week pregnancy, in the 16 week pregnancy to 32 week pregnancy and the over 32 week pregnancy in the experimental group is upper than the compared one. For the oral GTT, there is a difference in under 16 week pregnancy but no difference in prenatal visits and triple marker. 2) The analysis of characteristics of prenatal care through the decision tree resulted in the fact that the most important variable is the residential area. After the delivery frequency is following, the obstetrical history and maternal age are in order. It is the same result in the triple marker and oral GTT. Consequently it is the same order of important variables in CRM system. The effectiveness of CRM system is proved in this study. The CRM system is a marketing method to control and lead the customers through the segmentation of customer data. It increases the new customer aquisition, maintenance of loyal customers, augmentation of customers value, activation of potential customers and creation of life time customers. So eventually it can enlarge the customers value. The medical institution should make efforts to establish the data base enforced by the customer's information on the underlying ordinary data system to carry out the CRM system effectively. In addition, it should develop the a variety of marketing strategy in order to set up one to one marketing satisfying the needs of individual patients.
The container ports have been increasingly changed according to the industry structure and differentiated customer's needs. So it seems to need the differentiated service strategies to have their competitiveness. To assess the customer requirements objectively, this paper associated the service process of container ports with the service quality scale by using the Quality Function Development(QFD). This paper analysed the service process of Busan port and then compared it with those of Shanghai port and Tokyo port which are the typical port of the northeast asia. Also, after drawing the importance of the service process as well as its priorities by representing the relation between service quality scale and processes of the container ports, this paper proposed the House of Quality(HOQ) for service quality improvements.
This research was designed to figure out the perception and attitude of university students toward urban outdoor wear and to provide the guidelines for product quality improvement using Kano model. A total of 270 responses were analyzed by SPSS 20.0 through frequency and factor analysis. Respondents' levels for outdoor activity & outdoor products possession being still low, steady growth in urban outdoor wear market is expected. A total of eight quality factors were identified through factor analysis; suitability, production quality, functionality, ease of care, fabric performance, portability, fashionability, and symbolism. Based on Kano model, quality factors of urban outdoor wear were categorized into three groups: one-dimensional; indifferent; and must-be quality factor. It was found that consumers were satisfied with urban outdoor wear only when it meets the needs for suitability for body types and ease of care, meaning that manufactures should be cautious not to lose these features. Being must-be quality factor, production quality(form stability, quality of subsidiary materials), and fabric performance such as colorfastness should be basically satisfied. The relative importance of each quality feature on satisfaction/dissatisfaction was investigated using CSC(customer satisfaction coefficient). Based on the CSC, every item was classified again. Attractive quality features with large CSC were shown in suitability factor. Must-be quality features with small CSC were mainly shown in functionality and fabric performance factors. These findings imply that manufactures of urban outdoor wear should not only maintain the production quality but also focus on suitability features to differentiate their product with previous products.
The purpose of this study is to investigate the effects of selection factors which include accessibility, trade area, spatiality, convenience, reliability, assurance on satisfaction. Also, the relationship among satisfaction, conversion cost, and reuse intention was examined. The survey was conducted for college students who had used coffee shops in the last month and 247 copies were used for the analysis. The study model was analyzed by the basic statistical analysis, factor analysis, reliability analysis, and structural model analysis using SPSS 18.0 and AMOS 18.0. As a result of analysis, it was confirmed that customer satisfaction was influenced by factors in order of assurance, accessibility, commerciality, reliability, and spatiality. Also, satisfaction and conversion cost have a significant effect on reuse intention. The result shows that the satisfaction of selection factors increases student customer's behavioral intentions and ultimately contributes to the improvement of coffee shop performance. Therefore, a coffee shop targeting college students needs a lot of interest in the taste of coffee, price, various menus and accessibility, trade area, and large space.
The measurement and management of patient satisfaction has become one of the key issues in the last two decades. Hospitals must thoroughly understand the needs of their customers and design products and health services that meet and exceed their expectations. The importance-performance analysis(IPA) is a widely used analytical technique that yields strategies for managing customer satisfaction in a variety of applications. IP A is a two-dimensional grid based on customer-perceived importance of quality attributes and attribute performance. Depending on the interplay of these two dimensions, four strategies can be derived. The aim of this study is to develop the management strategies for improving patient satisfaction in university hospitals using the I-P analysis. The attributes on inpatient service quality in 4 university hospitals was investigated using the Martilla and James(l977)' s a mean adjusted I-P grid where the axes of the grid cross at the average rating point of all items. The patient satisfaction questionnaires were completed by 600 hospital inpatients. The main statistical methods are path analysis and IPA with SPSS 12.0 and AMOS 4.0 statistical softwares. The two attributes, physician and medical service, administrative staff kindness attributes position in first quadrant(Keep Up the Good domain). The nurse and nursing service attributes position in second quadrant(Possible Overkill domain). The two attributes, convenience of check-in service, facilities and physical environment position in third quadrant(Low Priority domain). Finally the quality of inpatient service(food etc.) attributes position in fourth quadrant(Concentrate Here domain). These findings show various implications on the development of strategies in university hospitals in the future. It was determined that quality of inpatient service(food etc.) need to concentrate more on investments. These investments include a taste, price, proper provision of food service and quick response of pain management. A low priority was given to investment in streamlining the check-in process of inpatient and hospital facilities and physical environment in the long run.
The Transactions of The Korean Institute of Electrical Engineers
/
v.65
no.5
/
pp.730-737
/
2016
Electric utilities may face new threats with increase in electric vehicles (EVs) in the personal automobile market. The peak demand will increase which may stress the distribution network equipment. The focus of this paper is on an adaptive control of smart household appliances by using an intelligent load management system (ILMS). The main objectives are to accomplish consumer needs and prevent overloading of power grid. The stress from the network is released by limiting the peak demand of a house when it exceeds a certain point. In the proposed strategy, for each smart appliance, the customers will set its order/rank according to their own preferences and then system will control the household loads intelligently for consumer reliability. The load order can be changed at any time by the customer. The difference between the set and actual value for each load's specific parameter will help the utility to estimate the acceptance of this intelligent load management system by the customers.
Journal of the Korea Society of Computer and Information
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v.26
no.8
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pp.229-237
/
2021
This paper aims to study the using motivation and influencing factors of Chinese users' participation in live stream shopping through theoretical and empirical analysis, so as to evaluate the change in users' needs and improve marketing strategies. In doing so, I conducted a questionnaire survey for Chinese live stream shopping users and collected the required data. For empirical analysis, I used SPSS and AMOS software to carry out descriptive analysis, reliability and validity analysis and structural equation model analysis (SEM) to test the hypothesis. The results of the analysis showed that core competency and brand personality of the short video industry have a significant impact on user and customer perceived value, thus influencing users' using motivation. That is, users do not blindly follow live stream shopping but make their active choice. Therefore, it is suggested that live stream shopping platform should strengthen the e-commerce attributes and eradicate "the sense of false satisfaction", in order to achieve the effective communication of information. On the other hand, to stimulate the purchase motivation of users, the brand should build up its personality, and enhance user and customer perceived value in cyber marketing.
It is a reality that office workers in modern society cannot overlook their appearance management for promotion in the workplace that does not fall behind in competition with others and smooth human relationships. According to this social trend, it is time to conduct an in-depth cosmetology study on the appearance management and perception of office workers, including hair styles. Therefore, this study analyzed the hair style type and preference closely by cross-analyzing the differences between groups by classifying the occupational persons of female airline crew, female soldiers, female sportsmen, female lawyers, and female nurses into age, marriage, academic background, and occupation. As result of study, it was found that different women in each occupational group had different results, such as their current hair style type and hair texture, the use of current hair styling products, and their personal preference for women's hairstyles and hair colors. This study will be used as basic data for developing new mode items that meet customer needs in the beauty marketing market and researching customer demand.
This study aims to provide basic information on how to secure competitiveness of companies from a practical point of view by examining how information sharing for companies' infection prevention and service quality improvement affects revisit intentions. In order to achieve the purpose of this study, 341 visitors over the age of 19 who visited offline stores located in Busan and Gyeongnam were selected as study subjects. As a result of this study, it was found that consumers' perceived health beliefs, perceived disease infection probability, and perceived disease infection severity had a significant effect on revisit intention. In addition, it was found that the company's infection prevention information sharing and infection prevention customer management had a significant mediating effect on the relationship between perceived health beliefs and revisit intention. Based on these research results, the conclusion suggested that a company needs a series of management activities that can contribute to the sharing of information on infection prevention and customer management among members of the organization and achievement of business performance.
Purpose: This study was performed to analyze customer needs for the operation of unmanned food stores on a university campus. Methods: A total of 329 responses were collected from customers who had purchased food at the stores. Statistical analyses were conducted using the SPSS program for frequency analysis, χ2-test, t-test, one-way analysis of variance, and Duncan's multiple range test. Results: On average, the overall satisfaction score for lunch and the eating location was 3.91 out of 5 points. Overall satisfaction was significantly higher for home cooking, and lower for eating at convenience stores (p < 0.001), and the score for eating with family was significantly higher than for eating alone or with friends (p < 0.001). On average, the intention to use an unmanned store received a score of 3.98 out of 5 points, while 'home cooking (3.76)' was significantly lower than other eating locations and eating at 'convenience stores (4.38)' was significantly higher than other eating locations (p < 0.05). The desired time of use for unmanned food stores was 'lunch (54.1%)', 'dinner (46.2%)', and 'afternoon snack (41.9%)', and the desired foods were 'doshirak (62.0%)', 'sandwich (56.2%)', 'fruit cup (54.4%)', 'salad (51.7%)', and 'kimbap (50.5%)'. There were significantly more opinions that single-person households would use unmanned food stores for dinner more than family households (p < 0.05), and significantly more willingness to purchase fruit cup (p < 0.05). The average prices (Korean won) that the subjects were willing to pay for the purchase of food were 4,991 for doshirak, 3,403 for salad, 2,745 for fruit cup, 2,609 for sandwich, and 2,235 for kimbap. Conclusion: For the successful operation of the unmanned food stores on the university campus, the store manager should grasp the customer's needs in real-time and establish an effective marketing strategy.
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