• Journal of Technology Innovation
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• v.15 no.1
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• pp.145-173
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• 2007

Using patent and firm-level panel data for 1982-2001, this study investigates spillover effects of patents and the strengthening of intellectual property rights on Productivity and Innovation. As well as we consider the effect of intra-industry spillovers, we extend the effect to inter-industry spillovers which implies the effects of IT industries on non-IT industries. The empirical results are summarized as follows. First, allowing for firm-level variables, market competition and technological spillovers, the strengthening of intellectual property rights does not play a significant role on innovative activities. Second, while innovative activities of domestic firms affect significantly firms' innovative activities, those of foreign firms do not. Third, innovative activities of IT industries as inter-industry spillovers play a significant role on innovative activities and labor productivities of domestic firms.

• IE interfaces
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• v.14 no.4
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• pp.421-428
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• 2001

The economic effects of informatization are differently occurred according to industry types. Thus an evaluation methodology which reflects the industry type characteristics of informatization is needed. In this paper, we develop and analyze the indices for evaluating economic effects through informatization according to industry types, such as manufacturing, construction, financial services and marketing services. The factors related to performance of enterprise informatization can be defined as cost factors, effect factors, risk factors and influence factors. Effect factors are defined as quantitative or qualitative performance of informatization and classified into operational effect factors and strategic effect factors. The influence factor is defined as characteristics of informatization for industry types, that is, value chain of business and business products or services. Economic effect indices are classified according to the activity of business value chain. Economic effects indices of this research can be expected to play a role of general and standardized factors for economic evaluation of industry informatization.

• Information Systems Review
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• v.19 no.4
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• pp.111-134
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• 2017

This study compares the linkage effects and competitive advantage between ICT and automobile industry in Korea from 1996 to 2011 using input-output tables. The ICT industry is classified according to the International Standard Industry Classification. Results show that (1) the ICT industry exhibits linkage effects similar to those of automobile industry. (2) Both ICT and automobile manufacturing sectors exert significant effects on the demand and supply. Additionally, (3) ICT service and automobile sectors show linkage effects on demand and supply, respectively. The present results present the classification criteria of the ICT industry discussed to date and suggest economic effects and policy implications.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.47-58
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• 2018

In this study, we define Fintech services as review previous literatures and identify the traditional Fintech service market for analysing the economic effects of the Fintech Industry by using the 2014 Input-Output Table. We can identify the current market of Fintech industry which consists of VAN, PG, financial SW, mobile banking and Fintech R&D and we conduct Input-Output analysis by using non-competitive import model. The Input-Output analysis results show that production inducement effect and front/rear chain effect of the Fintech Industry are below average of other industries. This is because the Fintech technology and industry were emerging in Korea at that time (2014), and thus the ripple effects are not significant. Especially, due to the existing white risk financial regulation, new business opportunities have not been open to adapt new ICT-financial technologies. Therefore, when the business ecosystem is build through deregulation and platforms of the financial sector, it is expected that the Fintech Industry will have a high ripple effect. In this study, we identify the current market of Fintech industry from ICT indusries and conduct Input-Output analysis. The economic effects of the Fintech industry are not remarkable, but it is significant to identify the emerging market and present the basic analysis of issued research field.

• Health Policy and Management
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• v.10 no.1
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• pp.126-147
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• 2000

This paper empirically explores the nature of the medical service industry and its various propagation effects on the economy in the input-output model, as revealed by a comparative analysis between Korea and Japan. The main findings of the paper are as follows; First, the growth of medical industry induces above-average effect on employment. Second, the industry is of the characteristics of weak both backward and forward linkage effects implying a 'final demand dependency industry'. When compared with public service sectors, however, the medical services industry shows stronger backward linkage effect than those sectors. Furthermore, it has strong repercussion effects on the goods industries. Third, in order to produce per unit of services, the medical services industry of Korea uses relatively more drugs and medical devices than that of Japan. In general, it has been shown that production structure of medical service industry in Korea is 'hardware-oriented' one; on the other hand, 'software-oriented' in Japan which means that, as intermediate inputs, outsourcing and informatization has been used than those of Korea. From the findings of the paper it could be emphasized that the medical organizations in Korea should put more efforts on shifting the current hardware-oriented production structure to strengthen core competence by enhancing productivity and by outsourcing to improve efficiency of production process. However, the medical organizations in Korea would not have enough incentives for high value-added production structure because they enjoy high operating surplus. Therefore, it would be necessary that government policy should be taken into account of these environments.

• The Korean Journal of Health Service Management
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• v.6 no.3
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• pp.219-229
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• 2012

In these days, the interest on medical industry is increasing around the world. This paper attempts to estimate the economic effects of the medical and measuring instrument industry through the Input-Output Analysis. Especially, 78*78 Sector Tables were used as the first analysis tool. So then, 79*79 Sector Tables adjusted were used for that industry. The main analysis tools of this study are comparing and analyzing backward and forward linkage effect, the induced effect of the self industry and other industries and the induced coefficients such as products, value-added, employee's pay, sales surplus, employment. According to the result of analysis, the medical and measuring instrument industry has great economic impacts which affects the major macroeconomic factors such as production and backward linkage effect. And the induced effects of the self medical and measuring instrument industry are significant compared to other industries in aspects of production, employee's pay and sales surplus.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1394-1400
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• 2008

This study investigates the Failure Modes, Effects and Criticality Analysis (FMECA) Method for the railroad vehicle. Recently, RAMS (Reliability, Availability, Maintainability and Safety) is one of the most important issues in the railroad industry. FMECA is prerequisite for the RAMS Analysis, and it is a procedure to identify the potential failure modes and their effects and to reduce or mitigate the critical effects on the system. FMECA is used in various industries and it is specialized in each industry. For instance, MIL-1629a and SAE-J1739 are specialized FMECA method for Military industry and Automotive industry, respectively. Although the railroad industry requires the high reliability system, it does not have a specialized FMECA yet. Thus, in this paper, an FMECA method specialized to the railroad vehicle was proposed through analyses and comparison of the MIL-1629a, SAE-J1739 and IEC-60812 standards.

• Korea Journal of Hospital Management
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• v.21 no.1
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• pp.32-42
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• 2016

This study is conducted to estimate economic ripple effects of subsidiary services of hospitals. Using the Input/Output Analysis, this study analyzes production inducement effect, added value inducement effect, and labor inducement effect. Also, it assesses potential economic effects of the subsidiary services of which the scope is expanded as the government's proposed in 2014. Data regarding hospital subsidiary services and economic effects are obtained from the hospitals' financial statements on the National Tax Services and the Bank of Korea. The major results of this study are summarized as follows; subsidiary service profits of hospitals are 466 billion won and rent profits of hospitals are 152 billion won. Of these, the rate of subsidiary service profits in tertiary hospitals is about 66% of total subsidiary service profits. Producement inducement effect of subsidiary services of hospitals is higher than that of total industry, service industry and medical service industry. Added value inducement effect of subsidiary services of hospitals is higher than that of total industry, manufacturing industry, service industry and medical service industry. Job position inducement effect of subsidiary service in hospitals is higher than that of total industry, service industry and medical service industry. Also, employment inducement effect of subsidiary service in hospitals is higher than that of total industry and medical service industry. The results may suggest that subsidiary services revenue in medical institutions contribute to improving operating profits. Facing with intense market competition and pressures to control health care costs, hospitals may need to determine whether subsidiary services help boost their profitability and improve customer satisfaction.

• Journal of Distribution Science
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• v.15 no.5
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• pp.65-73
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• 2017

Purpose - The Service Level Agreement which has been used in the IT information communication industry to maintain the level of service supplied by a vendor has been adopted in the service industry surrounding the airliners and airports. Considering that service quality is dependent on attitude of employees who are responsible to provide service, it is very important to understand what kinds of effects SLA(service level agreement) has on the attitude when SLA is applied to the service industry. SLA is an agreement between management authority and service providing contractor to make sure that certain level of service quality should be provided. For employees whose responsibilities are providing the service, SLA has both positive effects and negative effects. Negative side is that employees have to follow many irrigating complicated rules. On the other hand, the attribute of rules is that once one is become accustomed to them one may feel comfortable doing repeated same kinds of works, which is positive side for the workers. Research design, data, and methodology - We analyzed whether the SLA has moderating effects while service providers' job environment of outsourcing companies affects job satisfaction. Especially in the service industry, job satisfaction has great effects on productivity and efficiency. Results - The study results show the following. First, SLA has moderating effects while task performance environment affects treatment satisfaction. Second, SLA has moderating effects while task motivation environment affects treatment satisfaction. Third, SLA has moderating effects while physical work environment satisfaction affects treatment satisfaction. Fourth, on the other hand, the difficulties caused by SLA have moderating effects while the relationship among employees affects job dissatisfaction, which is negative side of SLA. From these results, we can tell that SLA has more positive moderating effects on treatment satisfaction on the whole. which results can be used to justify applying SLA to the service industry. Conclusions - In this study we analyzed the effects of SLA which have become more important in service industry nowadays on service providing employees. For managing side, the positive effects of SLA have to be emphasized while the negative effects should be avoided or minimized.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.49-67
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• 2018

This study compares economic impact between Software and Medical industry through Input Output Table by Bank of Korea. We classify Software and Medical industry by The ninth Korea Standard Industry Classification and use linkage effects, value added inducement coefficient, and labor inducement coefficient to analyze economic impact. First, software and medical industry have different linkage effects between backward and forward. Second, They have higher value added inducement coefficient than average of all industry. Third, They not only have higher labor inducement coefficient than average of all industry but also simillar effect on labor induction. According to the result of this study, software and medical industry have high economic impact on Korea economy, and therefore are intensively fostered by policy support.