• Korea Journal of Hospital Management
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• v.21 no.4
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• pp.1-12
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• 2016

The purpose of this study are suggest to performance measurement model of Electronic Medical Record(EMR) and Key Performance Index(KPI). For data collection, 665 questionnaires were distributed to medical record administrators and insurance reviewers at 31 hospitals, and 580 questionnaires were collected(collection rate: 87.2%). Regarding methodology, Critical Success Factor(CSF) and index of the information system were derived based on previous studies, and these were set as performance measurement factors of EMR system. The performance measurement factors were constructed by perspective using BSC, and analysis on causal relationship between factors was conducted. A model of causal relationship was established, and performance measurement model of EMR system was proposed through model validation. Analysis on causal relationship between performance management factors revealed that utility cognition of the learning & growth perspective factor had causal relationship with job efficiency(${\beta}=0.20$) and decision support(${\beta}=0.66$) of the internal process perspective factors, and security had causal relationship with system satisfaction(${\beta}=0.31$) of the customer perspective factor. System quality had causal relationship with job efficiency(${\beta}=0.66$) and decision support(${\beta}=0.76$) of the internal process perspective factors, all of which were statistically significant(P<0.01). Job efficiency of the internal process perspective had causal relationship with system satisfaction(${\beta}=0.43$), and decision support had causal relationship with decision support satisfaction(${\beta}=0.91$) and job satisfaction (${\beta}=0.74$), all of which were statistically significant(P<0.01). System satisfaction of the customer perspective had causal relationship with job satisfaction(${\beta}=0.12$), job satisfaction had causal relationship with cost reduction(${\beta}=0.53$) of the financial perspective, and decision support satisfaction had causal relationship with productivity improvement(${\beta}=0.40$)of the financial perspective(P<0.01). Also, cost reduction of the financial perspective had causal relationship with productivity improvement(${\beta}=0.37$), all which were statistically significant(P<0.05). Suitability index verification of the performance measurement model whose causal relationship was found to be statistically significant revealed that $X^2/df=2.875$, RMR=0.036, GFI=0.831, AGFI=0.810, CFI=0.887, NFI=0.838, IFI=0.888, RMSEA=0.057, PNFI=0.781, and PCFI=0.827, all of which were in suitable levels. In conclusion, the performance measurement indices of EMR system include utility cognition, security, and system quality of the learning & growth perspective, decision support and job efficiency of the internal process perspective, system satisfaction, decision support satisfaction, and job satisfaction of the customer perspective, and productivity improvement and cost reduction of the financial perspective. In this study, it is expected that the performance measurement indices and model of EMR system which are suggested by the author, will be a measurement tool available for system performance measurement of EMR system in medical institutions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.

• Journal of Agricultural Extension & Community Development
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• v.26 no.4
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• pp.193-203
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• 2019

Tourism has been widely regarded as a mentally and physically healthy pursuit. Emotional experience can increase the restoration effect of tourism. Thus, recent studies in tourism have paid more attention to the benefits of emotional experiences. This study provides and tests a model that examines the relationship emotional experience as mediating variable between perceived service quality and two outcomes (behavioral intention, subjective well-being). The results of a study with rural healing tourists provide support for the proposed model. Specifically, the results indicate that emotional experience partially mediate the relationship between perceived service quality and satisfaction. The results of this study suggest that emotional experience should be considered as important in rural healing tourism services. The study provides empirical validation that customers do, indeed, identify with service providers, and this, in-turn, provides positive consequences for both the service provider (i.e., behavioral intention) and the customer (i.e., subjective well-being).

• Proceedings of the Korean Reliability Society Conference
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• 2001.06a
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• pp.269-269
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• 2001

Maintainability refers to the ease with which maintenance work can be done. It involves the process of ensuring that products can be easily and safely maintained and that the maintenance support requirement is minimized. When a product has a reasonably long life, the cost of operation and support during that life can greatly exceed the initial capital cost. The value to the customer of optimizing maintainability should be evident. Some effort and expense applied to achieving a product which can be easily and cheaply maintained will make very significant savings in the life cycle costs. In this paper, the International Standard IEC 60300-3-10, which is the application guide for maintainability, is considered. This standard can be used to implement a maintainability program covering the initiation, development and in-service phases of a product. It provides guidance on how the maintenance aspects of the tasks should be considered in order to achieve optimum maintainability. The elements of a maintainability program, which are maintenance policy and concept, maintainability studies, project management, design for maintainability, analysis and prediction methods, maintenance verification and validation, analysis of life cycle cost, maintenance support planning, and collection and analysis of maintenance data, are fully discussed in this paper.

• Asia pacific journal of information systems
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• v.16 no.4
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• pp.239-254
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• 2006

Location-based advertising or application has been one of the drivers of third-generation mobile operators' marketing efforts in the past few years. As a result, many studies on location-based marketing or advertising have been proposed for recent several years. However, these approaches have two common shortcomings. First. most of them just suggested the theoretical architectures, which were too abstract to apply it to the real-world cases. Second, many of these approaches only consider service provider (seller) rather than customers (buyers). Thus, the prior approaches fit to the automated sales or advertising rather than the implementation of CRM. To mitigate these limitations, this study presents a novel advertisement recommendation model for mobile users. We call our model MAR-CF (Mobile Advertisement Recommender using Collaborative Filtering). Our proposed model is based on traditional CF algorithm, but we adopt the multi-dimensional personalization model to conventional CF for enabling location-based advertising for mobile users. Thus, MAR-CF is designed to make recommendation results for mobile users by considering location, time, and needs type. To validate the usefulness of our recommendation model. we collect the real-world data for mobile advertisements, and perform an empirical validation. Experimental results show that MAR-CF generates more accurate prediction results than other comparative models.

• Journal of the Ergonomics Society of Korea
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• v.29 no.4
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• pp.647-654
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• 2010

In a service environment, the spatial layout is an important factor that has a great impact on customers' behavioral characteristics including wayfinding and purchasing. Previous studies have shown a gap between marketing, focusing solely on profitability and satisfaction, and architecture, looking only into efficiency of pedestrian flow. To balance such disparity, this study suggests an integrated approach for assessing behavioral patterns in complex service environments. With the objective that complex service environments should aim to increase its profitability and efficiency while guaranteeing customer satisfaction, quantitative metrics was developed for evaluation. The metrics was defined to use data from behavior observation including path tracking, population counting, and gaze analysis, while previous studies have relied on abstract survey methods that were prone to sampling errors and loss of data. For validation of the metrics in a real world setting, a case study was conducted at 4 train stations in Korea. In the case study, experiments were conducted to gather the required data in all 4 train stations, while their physical layouts were also analyzed. With the results from the case study, comparative evaluation of the 4 train stations in terms of behavioral efficiency was possible, together with a discussion on the effect of their physical settings.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.3
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• pp.203-209
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• 2014

The rear center-hinge bracket is designed for supporting and folding the rear-seat backrest. This bracket needs to be strong enough to be able to rigidly hold the rear-seat backrest and to withstand luggage loads from the car trunk that are generated when a vehicle is driving on the roads. Particularly, current accident studies report that many serious occupant injuries occurred when the rear-seat back easily folded inward toward the car interior, driven by the luggage loads in the trunk. Given this fact, the robust design of the rear center-hinge bracket that mainly supports the rear backrest has become more important for providing customer safety and preventing high warranty and durability problems. However, none of the studies have emphasized its significant role and considered its robust optimization. Therefore, this paper presents how the hinge-bracket design is optimized based on an application of the finite-element method coupled with the parameter design using Taguchi's design experiment. Finally, Taguchi method's application optimizes a robust center-hinge bracket that shows more rigid performance although it has lighter weight and thinner thickness.

• The Research Journal of the Costume Culture
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• v.26 no.2
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• pp.217-232
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• 2018

As the types of wedding ceremonies become diversified, and consumers' needs become more selective, greater importance is given to wedding planners' roles in the wedding industry, and consumers require differentiated types of wedding service. As a preliminary qualitative study in this field, an ethnographic study was conducted to identify factors valued by consumers when selecting a wedding planner in the wedding planner market, which has rapidly grown in recent years. An in-depth interview was performed with eight participants in terms of wedding planner utilization type and consumers' understanding of wedding preparation with a wedding planner. The collected data were analyzed through taxonomy, component analysis and decision table analysis; for validation, professional wedding planners were asked to review the items valued by consumers in selecting a wedding planner. Four factors - expense characteristic, wedding planners, wedding consulting companies, and customer characteristics - were identified, along with eight sub-factors (capability, service attitude, technical communication, personal factors, wedding planner encounter paths, spouse's satisfaction status, and companies). Out of these, price (within budget), wedding planners' capability, wedding planners' service attitude are expected to be meaningful in further research because they were found to be attributes commonly valued by every respondent. This study is significant in that it has made a new approach to understanding wedding planner selection attributes through ethnographic research and identified new wedding planner selection attributes.

• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.120-128
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• 2014

Due to prolonged recession and limited spending of the consumers, domestic fashion brands are putting their efforts in pursuing competitiveness in order to survive in an intense competition, and because of this reason, VMD is being considered significant as a strategy for store environment improvement. An empirical research regarding analysis for systematic strategic VMD configuration factors of fashion retail store and relationship of repurchase intention that have effects on increase in sales was conducted. Thus, this study considers importance and spatial interrelation of VMD configuration factors of fashion retail store through theoretical consideration, and based on this, VMD configuration factors were restructured into reconcilability, attractiveness and epidemicity. An empirical validation through theoretical hypotheses and survey for relationships among VMD configuration factors, brand preference and repurchase intention was conducted. As a result of path analysis, VMD configuration factors reconcilability, attractiveness and epidemicity have effects on repurchase intention, and it was analyzed that epidemicity has the biggest effect on consumers. Also, it was found that brand preference has effects on repurchase intention and through this, as favorability and customer satisfaction for brand has effects on repurchase intention, it is judged that creating a strong brand image and brand image building is important the most for improving brand preference.

• Journal of the Korea Society of Computer and Information
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• v.7 no.1
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• pp.94-102
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• 2002

In this paper, we present a forecasting model for the spectrum demand which will be used for the mid/long-term spectrum forecasting in Korea. In specific, we present the bottom-up model with considering the customer not the previous top-down method. The Proposed model consists of service definition. classification of service characteristics, drawing representative service characteristic , forecasting of service demand, mapping with spectrum resource, verification and spectrum forecasting. The carried actions in each step is described in detail. For the validation of the model an example for the PCS environments is shown. traverse stepping stones for a variety of legitimate reasons.