• Management & Information Systems Review
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• v.29 no.4
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• pp.305-332
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• 2010

This study was searching for elements affecting satisfaction of customers by comparing health management service businesses such as wellbeing care, yoga, and fitness. The discovered elements were analyzed and verified to find which elements are affecting what businesses through case studies. Multidirectional analysis was implemented for each service type using program, physical environment, and provided service drawn from the previous researches with SERVQUAL criteria and measured values on customer satisfactions. According to the analysis, physical environment in forest wellbeing care, program in yoga, and provided service in fitness were the most affecting elements. Thus, each health management service business must consider the lifestyle and trend of customers, and the specialized service corresponding to its uniqueness must be provided to customers. Surely, modernized exercise equipment, personalized program, and comfortable-luxurious settings are must have in order to be competitive. In addition, the business owners have to realize that customers are moving to quality from quantity. This means exercise must be brought up to the level of social value for relationship and links rather than left at the level of simple physical and mental trainings. To achieve these, other programs to support relationship among customers and circulating system with friendly environment must be considered at the same time.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.48-57
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• 2020

This study focuses on the development of simple qualitative indicators for evaluating and selecting innovation leading companies that challenge National Award. Another purpose of this study is to complement the aspect in which the innovative or value of the companies' products, technologies, and services is only quantitatively evaluated. Existing evaluation indicators of national award have too many evaluation items and were not suitable for innovation-based company evaluation. The research approach is to select category for developing qualitative indicators based on previous studies and TF discussion. From the input-process-output-outcome point of view, we have set up an indicator system as a series of flows. Finally, five categories such as creativity, system excellence, customer value, performance, and ripple effects are selected as qualitative indicator. For these selected indicators, conceptual definitions and the main points of evaluation are described. And the system level evaluation and the ADLI approach are presented for reference. The appendix also includes examples of qualitative and quantitative evaluation of real companies using these indicators. However, this study implies the possibility that the evaluation results may vary depending on the level and perspective of the evaluator. We hoped that detailed research on candidate indicators that can be used as qualitative indicators and research on the development of mixed indicators(qualitative and quantitative) will continue in the future.

• Journal of Digital Convergence
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• v.9 no.5
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• pp.141-156
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• 2011

Auditors' subjective opinions m audit activities weaken reliability in audit judgments. This paper suggests fixed quantity models through requirement priority for improving objective evaluation and priorities of requirements in information system audit. The value of requirements was evaluated based on customers' requirements with a premise that they are not in the same level. Furthermore, the audit objective judgments were enhanced to enable fixed quantity of subjective audit by subdividing detailed evaluation index of requirement priority standards into importance of service and function on orderers' perspective, and sectioning cost and schedule on contractors' perspective.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.431-436
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• 2022

이 연구는 MBTI의 심리 기능지표 조합인 ST, SF, NT, NF의 유형별 특징을 반영한 마케팅 문체 프레임워크를 정의하고 모델 학습을 통해 성격유형별 맞춤화 된 광고 메시지로 생성하는 것을 목적으로 한다. 활용되는 광고 메시지 자동 생성 기술은 BART 모델에 성격유형을 Prefix로 포함한 광고문을 학습시켜 성격유형에 따라 맞춤형 광고 메시지를 생성하는 방식이다. 학습된 모델은 Prefix 조작만으로 MBTI 성격유형별 문체 특징을 갖춘 광고 메시지로 변환되는 것을 실험을 통해 확인할 수 있었다. 본 연구는 성격유형의 특징을 문체 프레임워크로써 정의하고 이에 기반한 모델 학습을 통해 성격유형별 특징을 반영한 광고 메시지를 재현해 낼 수 있다는 점에서 의의가 있다. 또한 성격유형과 연관 feature를 함께 학습하여 유형별 문체 특징과 소구점을 포함한 광고 메시지를 생성했다는 기술적 가치가 있다. 이 연구 결과를 기반으로 차후 타겟 고객층의 성격유형과 광고 도메인을 고려한 효과적인 광고 콘텐츠를 생성해 내는 모델을 개발하여 타겟 마케팅 분야는 물론이고 지역별 또는 언어별 문체 간 차이를 구조화하거나 재현해야 하는 문제에서 기반이 되는 연구로 활용될 수 있을 것으로 기대된다.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.241-262
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• 2006

The University libraries need to develop the balanced scorecard concerning general management in order to measure the total performance of the organization that measure not only quantity measurement based on resources and quality measurement based on information services but also effectiveness of resource utilization, efficiency ability providing the services and potential capability of the members adopting the diverse changes flexibility as organic organization under the rapidly changing circumstances nowadays. This study developed the BSC model into the four perspectives such as customer, resource, internal process, learning and growing modifying BSC model developed by Kaplan and Norton to fit university libraries as nonprofit organization and developed the strategic map and performance measurement indicators on the strategy of each perspective. Ultimately, this study tried to provide an integrated strategic management indicators providing comprehensive picture of university libraries from strategic plan to performance applying the BSC linking strategic plan.

• Journal of Distribution Science
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• v.4 no.1
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• pp.5-26
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• 2006

As the capital of knowledge becomes more important than traditional capital like land or labor in the 21st century, the most competitive resource for corporations is knowledge. Furthermore, corporations may evaluate and improve latent knowledge of 'intellectual capital(IC)' within organizations, which will enhance their performance in the future. However, most Korea Distribution Companies have evaluated only tangible assets, ignoring latent capital. Since enterpreneurs have recognized that they cannot explain the difference between maret value and book value, the major advanced states lead to more sophisticated techniques to evaluate IC value. Although it is extremely important and urgent to evaluate IC value, the indexes of evaluating IC have never been examined and have been adopted by many corporations. Therfore, this study intends to develop a index for IC valuation. This study hopes to give some insights into the practical use of intellectual capital for the Korea Distribution Companies and help them develop a strategic perspective to enhance their competitiveness.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.245-256
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• 2021

The Fourth Industrial Revolution brought the quantitative value of data across the industry and entered the era of 'Big Data'. This is due to both the rapid development of information & communication technology and the diversity & complexity of customer purchasing tendencies. An enterprise's core competence in the Big Data Era is to analyze and utilize the data to make strategic decisions for enterprise. However, most of traditional studies on Big Data have focused on technical issues and future potential values. In addition, these studies lacked interest in managing the quality and utilization levels of internal & external customer Big Data held by the entity. To overcome these shortages, this study attempted to derive influential factors by recognizing the quality management information systems and quality management of the internal & external Big Data. First of all, we conducted a survey of 204 executives & employees to determine whether Big Data quality management, Big Data utilization, and level management have a significant impact on corporate work efficiency & corporate management performance. For the study for this purpose, hypotheses were established, and their verifications were carried out. As a result of these studies, we found that the reasons that significantly affect corporate management performance are support from the management class, individual innovation, changes in the management environment, Big Data quality utilization metrics, and Big Data governance system.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.139-161
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• 2019

The utilization of the e-commerce market has become a common life style in today. It has become important part to know where and how to make reasonable purchases of good quality products for customers. This change in purchase psychology tends to make it difficult for customers to make purchasing decisions in vast amounts of information. In this case, the recommendation system has the effect of reducing the cost of information retrieval and improving the satisfaction by analyzing the purchasing behavior of the customer. Amazon and Netflix are considered to be the well-known examples of sales marketing using the recommendation system. In the case of Amazon, 60% of the recommendation is made by purchasing goods, and 35% of the sales increase was achieved. Netflix, on the other hand, found that 75% of movie recommendations were made using services. This personalization technique is considered to be one of the key strategies for one-to-one marketing that can be useful in online markets where salespeople do not exist. Recommendation techniques that are mainly used in recommendation systems today include collaborative filtering and content-based filtering. Furthermore, hybrid techniques and association rules that use these techniques in combination are also being used in various fields. Of these, collaborative filtering recommendation techniques are the most popular today. Collaborative filtering is a method of recommending products preferred by neighbors who have similar preferences or purchasing behavior, based on the assumption that users who have exhibited similar tendencies in purchasing or evaluating products in the past will have a similar tendency to other products. However, most of the existed systems are recommended only within the same category of products such as books and movies. This is because the recommendation system estimates the purchase satisfaction about new item which have never been bought yet using customer's purchase rating points of a similar commodity based on the transaction data. In addition, there is a problem about the reliability of purchase ratings used in the recommendation system. Reliability of customer purchase ratings is causing serious problems. In particular, 'Compensatory Review' refers to the intentional manipulation of a customer purchase rating by a company intervention. In fact, Amazon has been hard-pressed for these "compassionate reviews" since 2016 and has worked hard to reduce false information and increase credibility. The survey showed that the average rating for products with 'Compensated Review' was higher than those without 'Compensation Review'. And it turns out that 'Compensatory Review' is about 12 times less likely to give the lowest rating, and about 4 times less likely to leave a critical opinion. As such, customer purchase ratings are full of various noises. This problem is directly related to the performance of recommendation systems aimed at maximizing profits by attracting highly satisfied customers in most e-commerce transactions. In this study, we propose the possibility of using new indicators that can objectively substitute existing customer 's purchase ratings by using RFM multi-dimensional analysis technique to solve a series of problems. RFM multi-dimensional analysis technique is the most widely used analytical method in customer relationship management marketing(CRM), and is a data analysis method for selecting customers who are likely to purchase goods. As a result of verifying the actual purchase history data using the relevant index, the accuracy was as high as about 55%. This is a result of recommending a total of 4,386 different types of products that have never been bought before, thus the verification result means relatively high accuracy and utilization value. And this study suggests the possibility of general recommendation system that can be applied to various offline product data. If additional data is acquired in the future, the accuracy of the proposed recommendation system can be improved.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.43-65
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• 2010

Facing a complex environment driven by a decade, many companies are adopting new strategic frameworks such as Customer Relationship Management system to achieve sustainable profitability as well as overcome serious competition for survival. In many business areas, CRM system advanced a great deal in a matter of continuous compensating the defect and overall integration. However, pharmaceutical companies in Korea were slow to accept them for usesince they still have a tendency of holding fast to traditional way of sales and marketing based on individual networks of sales representatives. In the circumstance, this article tried to empirically address current status of CRM system as well as the effects of the system on the performance of pharmaceutical companies by applying BSC method's four perspectives, from financial, customer, learning and growth and internal process. Survey by e-mail and post to employers and employees who were working in pharma firms were undergone for the purpose. Total 113 cases among collected 140 ones were used for the statistical analysis by SPSS ver. 15 package. Reliability, Factor analysis, regression were done. This study revealed that CRM system had a significant effect on improving financial and non-financial performance of pharmaceutical companies as expected. Proposed regression model fits well and among them, CRM marketing information system shed the light on substantial impact on companies' outcome given profitability, growth and investment. Useful analytical information by CRM marketing information system appears to enable pharmaceutical firms to set up effective marketing and sales strategies, these result in favorable financial performance by enhancing values for stakeholderseventually, not to mention short-term profit and/or mid-term potential to growth. CRM system depicted its influence on not only financial performance, but also non-financial fruit of pharmaceutical companies. Further analysis for each component showed that CRM marketing information system were able to demonstrate statistically significant effect on the performance like the result of financial outcome. CRM system is believed to provide the companies with efficient way of customers managing by valuable standardized business process prompt coping with specific customers' needs. It consequently induces customer satisfaction and retentionto improve performance for long period. That is, there is a virtuous circle for creating value as the cornerstone for sustainable growth. However, the research failed to put forward to evidence to support hypothesis regarding favorable influence of CRM sales representative's records assessment system and CRM customer analysis system on the management performance. The analysis is regarded to reflect the lack of understanding of sales people and respondents between actual work duties and far-sighted goal in strategic analysis framework. Ordinary salesmen seem to dedicate short-term goal for the purpose of meeting sales target, receiving incentive bonus in a manner-of-fact style, as such, they tend to avail themselves of personal network and sales and promotional expense rather than CRM system. The study finding proposed a link between CRM information system and performance. It empirically indicated that pharmaceutical companies had been implementing CRM system as an effective strategic business framework in order for more balanced achievements based on the grounded understanding of both CRM system and integrated performance. It suggests a positive impact of supportive CRM system on firm performance, especially for pharmaceutical industry through the initial empirical evidence. Also, it brings out unmet needs for more practical system design, improvement of employees' awareness, increase of system utilization in the field. On the basis of the insight from this exploratory study, confirmatory research by more appropriate measurement tool and increased sample size should be further examined.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.63-85
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• 2018

The "About Us" page on the website of a corporation provides information regarding the organization's vision, philosophy, and values. We examine the association between institutional information provided on corporate websites (i.e., the "About Us" section) with present and future financial performance. Utilizing a text mining technique, we analyze the institutional information of S&P500 firms in the year 2016. We conduct a factor analysis including words that are intentionally repeated in the introductory text of corporate websites. The results of the analysis reveal that keywords from this institutional information can be grouped into six factors. We then carry out an ordinary least squares regression analysis to determine the associations between these six factors and present financial performance. The results show that keywords in Factor 2 (those related to Purchasing experience) are positively associated with ROE, a variable representing present financial performance, while keywords in Factor 1 (those related to Note to customers) show a negative relationship with ROE. On the other hand, keywords in Factor 1 have a positive relationship with Tobin's Q, a variable representing future financial performance. These results indicate that there is some relationship between the words used in the institutional information in this section of corporate websites and firms' financial performance. Hence, the institutional information on a website may be a useful indicator of current firm performance and future firm value.