• Journal of Internet Computing and Services
• /
• v.18 no.5
• /
• pp.133-141
• /
• 2017

Recently, the regulation issues for the zero-rating began to be proliferated. The corresponding regulators in charge of Internet services of all the countries of the world illustrated the various spectrums, rather than the similar policy line. In contrast, the oversee regulators not only recognized that zero-rating might be somethings to do with the net neutrality regulation, and but also actively debated regarding the validity for the regulation. However, any domestic study examining the issue has not endeavored yet. Therefore, the purpose of the study is to identify the validity of net neutrality regulation of zero-rating. Specifically, the study provided the features of zero-rating, the relationship with this new regulation and traditional regulations, and the various arguments and policies in major countries. The results of the study would be utilized as a reference in planning the regulation and countermeasure, from the corresponding policy makers and business operators.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.40 no.2
• /
• pp.41-50
• /
• 2017

The purpose of this paper is to improve the service tree analysis introduced recently by Geum et al. [15]. Service tree analysis structures the service based on the customer participation perspective and provides a qualitative analysis method categorizing the service elements on the basis of its impact to top service. This paper attempts to apply the concept of reliability importance to the service tree analysis as a perspective of quantitative analysis, which is considered little in Geum et al. [15]. Reliability importance is a measure of the structural impact of the components that make up the system on the system lifetime in reliability engineering field and often used in fault tree analysis. We transform the reliability importance into service importance in accordance with service tree analysis, so that the influence of service elements on the service can be judged and compared. The service importance is defined as the amount of change of the service according to the change of the service element, therefore, it can be utilized as an index for determining a service element for service improvement. In addition, as an index for paired service elements, the relationship between the two service components can be measured by joint service importance. This paper introduces conceptual changes in the process of applying reliability importance to service analysis, and shows how to use the service importance for identifying the priority of service element for the final service and improving customer satisfaction through an example. By using the service importance and joint service importance in service tree analysis, it is possible to make efficient decision making in the process of determining the service elements for analyzing and improving the service.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.40 no.2
• /
• pp.1-12
• /
• 2017

The competition to acquire customers with repurchase intention is getting more and more intense in the saturated smartphone market. That is why the aim of this study is to investigate the difference in purchasing determinants between various age groups and gender. Furthermore we aimed to analyze which of the purchasing determinants influence repurchase intention. In order to gather information we conducted a survey on 252 respondents. We selected 5 purchasing determinants (A/S, H/W, switching cost, network effect and design) by conducting factor analysis and validity analysis. Then we analyzed how respondents of different age groups and gender perceived different purchasing determinants and analyzed the influence purchasing determinants have on repurchase intention. As for analyzing the difference of purchasing determinants throughout various age groups, the H/W, A/S, network effect showed a notable difference. The older respondents tended to consider H/W, A/S, network effect more importantly than younger respondents. When it came to comparing the results depending on the gender, male respondents tended to consider H/W factor more importantly compared to female respondents and the opposite was true for other factors such as A/S, switching cost, design, and network effect but there weren't any significant differences. Finally, out of various determinant factors, network effect and design turned out to have a considerable influence on repurchase intention. That is why it would be highly appropriate to say that if a company intends to boost repurchase intention, enhancing network effect and developing an effective design would be crucial. This study differs from other existing researches in that we analyzed respondents from different age groups and gender separately. Also unlike other researches we directly analyzed the influence purchasing determinants have on repurchase intention not customer satisfaction. This study is expected to serve as basic information that can be used to establish strategies both in an academic and practical level, allowing companies to boost the repurchase intention of the smartphone market.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.1
• /
• pp.70-83
• /
• 2018

Korea's five leading industries-chemical, automobile, shipbuilding, metal and electronics-have been the growth engines of the Korean economy for the last 30 years. However, with their performance weakening in the past few years, Korea's annual growth rate has dropped to less than 2%. Just as the Japanese economy struggled through the lost decades, Korea's leading industries have been facing signals of arriving at a Strategic Inflection Point ("SIP") since the mid-2000s. The objective of this study is to present an appropriate value strategy for Korean firms in leading industries to gain sustainable competitive advantages. This paper examines the following issues : First, it diagnoses the signs and timing of SIP for the five leading industries. Second, this study examines 78 Korean and Japanese firms in order to understand the adaptation strategies of the highest and lowest performing firms from a value strategy point of view. Third, it empirically analyzes the correlation between the indicators of value strategy and the accounting performances of the Korean and Japanese firms. The data set used in the cluster analysis were collected from KISLINE database of NICE Information Service and annual reports. The findings in the case analyses of high and low performing companies show that high value-added specialty chemical materials and electronic component manufacturers that had a strong focus on value creation were defined as high performing companies. And in the cosmetic and automobile industries, companies with a strong emphasis on value appropriation gained high performance. Furthermore, the study conducted a cluster analysis based on two indicators R&D and advertisement expense. The analysis shows that a significant gap exists in the operating incomes among three groups classified under the value strategy. The study recommends that Korean firms are requested to increase R&D expenditure, conduct M&A and collaborate with companies that own source technologies to narrow the technology gap and improve their segment portfolio from commodity to value-added products.

• Journal of Digital Convergence
• /
• v.12 no.11
• /
• pp.159-169
• /
• 2014

I Bank, which is domestic one, has implemented a performance management system based on the balanced scorecards (BSC). The purpose of this study is to understand the status and seek improvements of the performance management system of the bank. To achieve the purpose, this paper makes study about the earlier researches and does empirical study based on the questionnaire survey analysis. After figuring out issues, this paper proposes improvements to operate the performance management system using BSC more properly. The Journal of Digital Policy & Management. This space is for the abstract of your study in English.

• Korean Journal of Computational Design and Engineering
• /
• v.13 no.2
• /
• pp.139-152
• /
• 2008

In order to survive worldwide competition, today's industries are experiencing strong pressure to introduce higher quality products with lower cost and shorter lead-time. Therefore, the role of design in the process of product development is increasing in significance. In this research, two methods for improving the design capability are proposed: construction of design environment and design automation using 3D CAD system. The designers and design process are the core of product design using 3D CAD system. In order to maximize the design performance, construction of the design environment including selection of a suitable system, designer training for best use of the system, establishment of an efficient design process, and stabilization of the environment are required. A method is suggested to construct design environment by systematizing the contents of the projects and consulting experiences carried out for various categories of business such as electronic devices, motorcycles, electricity parts, sanitary wares, injection molds, and die casing molds. Design automation helps reduce tedious and time-consuming jobs, simplify complicated and error-prone modeling and drawing works to shorten the lead time and improve the product quality. To develop a design automation system, understanding the process and the related knowledge on design are very important before implementing the system using API provided by 3D CAD system. In this research, an eight-step procedure is proposed for the development of a design automation system. These eight steps are analysis of needs, determination of specification, verification of specification using 3D CAD system, inspection of related API functions, programming, field test, application in practice, and maintenance. A case study in which five design automation systems in the design of turbine generators using the proposed method is introduced in detail. These systems play important roles in the generation of various output items including 3D models, drafts, material information, and NC data. The case study shows how effectively the design time is reduced and the quality improved using those systems.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.2
• /
• pp.65-73
• /
• 2018

The dynamic capabilities of sensing market signals, creating new opportunities and reconfiguring resources and capabilities to new opportunities in a rapidly changing economic environment determines the competitiveness of the enterprise to create added value and survival. This study conceptualized a two-stage performance measurement framework based on the casual model of resource (input)-process-performance (output). We have developed a 'Process capability index' that reflect the dynamic capabilities factors as a key intermediary product linking resource inputs and performance outputs in enterprise performance measurement. The process capability index consists of four elements : manpower (level of human resource), operation productivity, structure and risk management. The DEA (Data Envelopment Analysis) model was applied to the developed performance indicators to analyze the branch office performance of a telecom company. Process capability efficiency (stage 1) uses resource inputs to reach a certain level of process capabilities. In performance result efficiency (stage 2), the process capabilities are used to generate sales revenues and subscribers. The two-stage DEA model derives intermediate output values that optimize the individual stages simultaneously. Some branch offices in the telecom company have focused on process capability efficiency or some other branch offices focused on performance result efficiency. Positioning map using two-stage efficiency decomposition and benchmarking can help identify the sources of inefficiencies and visualize strategic directions for performance optimization. Applications of two-stage DEA in conjunction with the case study that are meaningfully used in performance measurement areas have been scarce. In particular, this paper has the contribution to present a new performance measurement model considering the organization theory, the dynamic capabilities.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.3
• /
• pp.29-40
• /
• 2020

Korean firms have been vigorously searching and exploring overseas market opportunities through export and overseas investment. As of end of 2019, there were more than 80,000 Korean overseas subsidiaries all over the world. With Korean overseas direct investment increasing recently, it became one of the important issues for overseas investors to be successful in the global market. There are a lot of studies on factors influencing the performance of overseas subsidiaries such as 'firm' and 'country' factors. This study empirically examines subsidiary performance determinants with 'industry architectures' by using a sample of 292 overseas Korean firm subsidiaries. Industry architectures are the stable but evolving sets of rules and roles through which labor is divided within a sector. This article considers how industry architectures shape success in international expansion. Industry architectures differ between countries, are not necessarily technologically determined, shape firms' capabilities and their competitive environment, and constitute a distinct level of analysis. We extract antecedents of related theory and empirically test its impact with a survey of Korean firms expanding in emerging economies. We would say this is the first study which tries to focus on industry architectures with the performance of Korean overseas subsidiaries. We find that separability and similarity of industry architectures across countries and localization of subsidiaries are robust and important predictors of success in international expansion. Our results suggest that industry architectures should be added to firm and country as an intermediate level of analysis that helps explain success in international expansion. While we established a pattern, much more remains to be done. We focus on the success of foreign operations, but we do not consider the broader benefits of going abroad, such as the learning or network effects that accrue at the level of the entire firm. The next obvious question is whether the results would differ in the developed market context. These we leave for future research to consider.

• Journal of Digital Convergence
• /
• v.14 no.7
• /
• pp.167-174
• /
• 2016

The university and college turn into the field of job readiness to get a good job and students build a lot of job specification than others and are constantly studying for employment. Then since employment, some people are fortunate to keep the job for lifetime, but for many people work in the workplace did not meet his aptitude with patience and some people move for work several times without perseverance. One of the reasons for job dissatisfaction is that the job does not fit his aptitude. Meantime many organizations conducted the aptitude(Psychology) test. There are limits, however, to find a suitable job. This study was presented as a model of a platform that is a rational and scientific alternative to search course and job. This model is to better understand the individual characteristics using Big data and artificial intelligence, offers several jobs to meet the characteristics among the various professions selectively and supports to select and design an appropriate job based on the field experience, consulting and mentoring.

• Journal of Digital Convergence
• /
• v.18 no.4
• /
• pp.177-191
• /
• 2020

This study examines the effect of the self-overviewing attributes derived from agency problem on the cost behavior in franchise industry. To solve the research problem, we developed the proxies for self-overviewing attributes of domestic franchise CEO and used Anderson et al. (2003)'s cost behavior model to test hypothesis. Moreover, we grouped the self-overviewing variables for additional test. We find that operating costs are more sticky for firms which present higher CEO's self-overviewing attributes in franchise industry. Second, we find that the greater the self-overviewing tendency, more strengthened cost stickiness when sales decrease. This study is meaningful in that we developed proxies for self-overviewing propensity, such as the hypodermic behaviors of franchise CEO, which have not been performed in previous studies, to enhance future studies of franchise CEO. Futhermore, we empirically provide the effects of CEO's self-overviewing attributes on the operating costs behaviors, suggesting useful information to franchise stakeholders such as prospective start-ups, franchisee and investors.