• Journal of Information Technology Services
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• v.22 no.5
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• pp.17-30
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• 2023

A company's sustainable growth is a very important goal, and for this purpose, the company's business model is changing into a convergence of products and services. The purpose of PS-Offering is to maintain a long-term relationship with customers, and customer experience management is necessary for this. This study presents a service design methodology that can support customer experience management of the PS-Offering business model. The experience management portfolio analysis methodology consists of four steps: 1. Deriving service encounter through customer journey maps; 2. Identify the service structure of each service encounter in three forms (FFC, FSC, FSE). 3. Analyze the customer's emotional variables, that is, customer experience, at each service encounter, Finally, 4. After plotting the level of customer experience at the service encounter, the analysis is conducted with a customer experience management portfolio that seeks future strategic plans for this. The methodology presented in this study will help in the service design of the service encounter unit centered on customer experience. And it will improve the financial performance of the company by raising the service level of the business model.

• Information Systems Review
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• v.10 no.2
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• pp.291-308
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• 2008

This study is to review the main concepts of BSC(Balance Scorecard) and compare the BSCs applied in the private and the public sectors. This comparison suggests a few important aspects that must be attended when BSC is put to use in the public organization. First, the BSC used in the public sector must put the top priority to customer perspective over financial one. The primary mission of a public organization must be the "better service" for the people. Secondly, each of BSC's four main perspectives should be modified and re prioritized according to the goals and objectives of the public organization. Finally, CSFs(Critical Success Factors) and KPIs(Key Performance Indicators) must be integrated into the framework of BSC which also incorporates already existing performance management systems. This case study shows how the redundant and unrelated performance management systems(evaluation management, government task evaluation, job performance appraisal, and customer satisfaction evaluation) are merged into the BSC performance management system in the public organization.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.127-139
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• 2023

Compensation and pay dispersion has been rigorously scrutinized to investigate their impacts on productivity and organizational performance. However, it is difficult to find a systematic study on the systematic dynamics of compensation and pay dispersion effects specifically in the context of Korean venture companies. Venture companies should manage their organizational resources efficiently to maximize their organizational performance through pay structure by efficiently managing the inherent resources. However, we acknowledge that empirical studies on how compensation and pay dispersion affect organizational productivity and performance are rare to find in the Korean context. To overcome this supplement limitation, this study hypothesized that (1) pay and members' productivity are positively related, (2) pay dispersion and organizational productivity have U shaped relationship, and (3) organizational productivity mediates the positive relationship between compensation and organizational performance. Venture companies and professional sports teams share manifold common characteristics such as size, financial circumstances, and operational objectives. We collect 9 seasons (2013~2014 - 2021~2022) of 10 teams' data of Korean Basketball League teams to test our hypotheses. Methodologically, the assessment of our analysis is rendered with PROCESS macro model 58. The statistical results showed that all hypotheses are statistically supported. This study explains how compensation and pay dispersion affect organizational productivity and performance of venture companies in Korea.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.121-139
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• 2014

Predicting corporate failure has been an important topic in accounting and finance. The costs associated with bankruptcy are high, so the accuracy of bankruptcy prediction is greatly important for financial institutions. Lots of researchers have dealt with the topic associated with bankruptcy prediction in the past three decades. The current research attempts to use ensemble models for improving the performance of bankruptcy prediction. Ensemble classification is to combine individually trained classifiers in order to gain more accurate prediction than individual models. Ensemble techniques are shown to be very useful for improving the generalization ability of the classifier. Bagging is the most commonly used methods for constructing ensemble classifiers. In bagging, the different training data subsets are randomly drawn with replacement from the original training dataset. Base classifiers are trained on the different bootstrap samples. Instance selection is to select critical instances while deleting and removing irrelevant and harmful instances from the original set. Instance selection and bagging are quite well known in data mining. However, few studies have dealt with the integration of instance selection and bagging. This study proposes an improved bagging ensemble based on instance selection using genetic algorithms (GA) for improving the performance of SVM. GA is an efficient optimization procedure based on the theory of natural selection and evolution. GA uses the idea of survival of the fittest by progressively accepting better solutions to the problems. GA searches by maintaining a population of solutions from which better solutions are created rather than making incremental changes to a single solution to the problem. The initial solution population is generated randomly and evolves into the next generation by genetic operators such as selection, crossover and mutation. The solutions coded by strings are evaluated by the fitness function. The proposed model consists of two phases: GA based Instance Selection and Instance based Bagging. In the first phase, GA is used to select optimal instance subset that is used as input data of bagging model. In this study, the chromosome is encoded as a form of binary string for the instance subset. In this phase, the population size was set to 100 while maximum number of generations was set to 150. We set the crossover rate and mutation rate to 0.7 and 0.1 respectively. We used the prediction accuracy of model as the fitness function of GA. SVM model is trained on training data set using the selected instance subset. The prediction accuracy of SVM model over test data set is used as fitness value in order to avoid overfitting. In the second phase, we used the optimal instance subset selected in the first phase as input data of bagging model. We used SVM model as base classifier for bagging ensemble. The majority voting scheme was used as a combining method in this study. This study applies the proposed model to the bankruptcy prediction problem using a real data set from Korean companies. The research data used in this study contains 1832 externally non-audited firms which filed for bankruptcy (916 cases) and non-bankruptcy (916 cases). Financial ratios categorized as stability, profitability, growth, activity and cash flow were investigated through literature review and basic statistical methods and we selected 8 financial ratios as the final input variables. We separated the whole data into three subsets as training, test and validation data set. In this study, we compared the proposed model with several comparative models including the simple individual SVM model, the simple bagging model and the instance selection based SVM model. The McNemar tests were used to examine whether the proposed model significantly outperforms the other models. The experimental results show that the proposed model outperforms the other models.

• Land and Housing Review
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• v.14 no.4
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• pp.63-76
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• 2023

Investors should understand and actively consider factors like location, future value, policies, pricing, market trends, and their income, as these elements can shift with changing local, social, economic, and policy environments. This study seeks to clarify the impact of investment factors on the performance and reinvestment intentions of Sejong City investors by surveying those who have invested in real estate. This study employs a structural equation model with confirmatory factor analysis, focusing on four aspects: value, economic and policy, psychological, and financial. We find that the investment value factor has the largest impact on investment performance, indicating that investors prioritize the investment value of real estate in Sejong City. In addition, factors increasing asset value and expected satisfaction were significant, indicating that real estate investment in Sejong City yields high returns and investor satisfaction. with a positive outlook for future reinvestment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.391-401
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• 2018

This study was conducted to investigate the effects of implementation of the healthcare accreditation system on patient safety, quality of medical care, organization culture and management performance of convalescent hospitals. Ten hospitals were selected at random from among 36 convalescent hospitals in Daegu that had obtained accreditation until September 2015. To accomplish this, hospital staff were surveyed from 15 February to 25 March, 2016 using a questionnaire with 253 objects. We investigated how the healthcare accreditation system has influenced patient safety, service quality, organization culture and performance of hospital management. The change in the treatment support system showed the highest score of 3.93 among quality change and medical service items, while that of personnel source culture showed the highest score of 3.78 points among organization culture items, and that of internal process view, study and growth view showed the highest score of 3.71 among management performance items. Multiple regression analysis revealed that factors positively changing hospital management performance were nurses, employees and managers, basic value systems, organization culture, personnel source culture, open system culture, hierarchical culture, and production oriented culture. The quality of patient safety and medical care was positively influenced by changes in the quality of convalescent hospitals after implementation of the healthcare accreditation system. However, among the four types of organizational culture, the financial perspective was relatively low compared to other perspectives.

• Korea Journal of Hospital Management
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• v.6 no.1
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• pp.120-146
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• 2001

This study was carried out to provide the essential information in improving the graduate medical education in Korea. For the study, a survey targeting the directors of GME of nationwide teaching hospitals was performed with a questionnaire asking the questions such as the director's perception on the quality of GME, trainees' salary level, trainees' specialty selection tendency, training system and its duration. The collected data were analyzed using t-test, ANOVA, and $x^2$-test. The results were as follows: 1. The survey were executed on 240 teaching hospitals in Korea and the response rate was 66.2% (159 hospitals replied). 2. The bigger a hospitals is the better in Quality of education. Larger hospitals tend to have better status in all items including medical specialists' experience, contents of medical curriculum, general environment for medical education and medical trainees's salary level. The result supported the general perception on the positive relationship between hospital size and Quality of GMA. 3. Providing convenience for medical trainees who prepares for the medical specialist Qualifying examination didn't affect the results of the examination. 4. The directions of GME have a perception that the trainees give positive impact on financial performance of their hospitals. This seems to be one of the reasons that hospitals try to retain as many trainees as possible. 5. The directors of GME considered medical trainees as an educate, and most of them responded positively on the need of governmental supports for the education cost and the trainee's salary. Considering above results, it seems that GME would get more social attention and the trainees' impact on hospitals operation would be increased more than before. In response to these trends, hospitals would find out the ways to lower dependency on trainees, and this change of attitude of hospitals on the GME would cause problems in operation of hospitals and GME itself. In order to prevent these problems the policy on GME should be directed in following ways. 1. The contents of Qualifying examination for specialist should be improved. 2. The curriculum of GME should be strictly followed. 3. The status of trainee in a hospital has to be defined as eductee. 4. Government has to support a half of the education cost and salary of trainee. 5. The distribution of the trainee among the hospital group have to be based on total available. 6. The financial support and welfare of trainee should be improved gradually and systematically.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.4
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• pp.319-326
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• 2015

Recently in the fields o f stochastic optimal control ( SOC) and reinforcemnet l earning (RL), there have been a great deal of research efforts for the problem of finding data-based sub-optimal control policies. The conventional theory for finding optimal controllers via the value-function-based dynamic programming was established for solving the stochastic optimal control problems with solid theoretical background. However, they can be successfully applied only to extremely simple cases. Hence, the data-based modern approach, which tries to find sub-optimal solutions utilizing relevant data such as the state-transition and reward signals instead of rigorous mathematical analyses, is particularly attractive to practical applications. In this paper, we consider a couple of methods combining the modern SOC strategies and approximate inference together with machine-learning-based data treatment methods. Also, we apply the resultant methods to a variety of application domains including financial engineering, and observe their performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.3
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• pp.85-98
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• 2018

This study aims to investigate the effects of venture & inno-biz companies' technological innovation competences on technological performances and economic competitive advantage, using VRIO framework. The empirical data for this study were based on the technology assessment results of Korea Technology Finance Corporation (KOTEC) on 3,462 venture & inno-biz companies and the following 2 years' financial data. Sample companies with technological innovation resources, such as technology management strategy(Value), differentiation of technology(Rarity), imitation difficulty of technology(Imitability) and technical organization capability(Organization), made efforts to expand their intellectual property rights, technological development and commercialization of new products, thereby ensuring technological competitive advantage. Furthermore, technological competitive advantage were proved to improve sales growth, increase in operating revenue, and financial soundness. Compared with four VRIO factors' influence on business performance, imitation difficulty of technology(Imitability) and organization technological capability(Organization) had much more influence than any other internal resources or capabilities respectively.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.113-132
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• 2021

This study is about the factors affecting organizational effectiveness and to suggest implications for encouraging organizational effectiveness. The conditional process model was analyzed with transformational leadership as an independent variable, educational service quality as a mediator, organizational effectiveness as a dependent variable, and trust as a moderator. The data collected from the financial institutions were analyzed using SPSS v22.0 and PROCESS macro v3.4. As a result, transformational leadership has a (+) effect on educational service quality, and educational service quality has a (+) effect on organizational effectiveness. Except for the relationship between charisma and innovative behavior, transformational leadership affect organizational effectiveness. Excluding the relationship between charisma and innovative behavior, educational service quality mediate between transformational leadership and organizational effectiveness. Trust only moderates between educational service quality and innovative behavior. Trust moderated the mediating effect of educational service quality between transformational leadership and innovative behavior. The results suggest the importance of education service quality management in a non-face-to-face working environment and the importance of individual consideration in innovative actions.