• Journal of Distribution Science
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• v.12 no.6
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• pp.49-57
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• 2014

Purpose - The world now recognizes environmental disruption as a serious issue when regarding growth-oriented strategies; therefore, environmental preservation issues become pertinent. Consequently, green distribution is continuously emphasized. However, studying the prediction and association of distribution and the environment is insufficient. Most existing studies about green distribution are about its necessity, detailed operation methods, and political suggestions; it is necessary to study the distribution service industry and environmental service industry together, for green distribution. Research design, data, and methodology - ARIMA (auto-regressive moving average model) was used to predict the environmental service and distribution service industries, and the Granger Causality Test based on VAR (vector auto regressive) was used to analyze the causal relationship. This study used 48 quarters of time-series data, from the 4th quarter in 2001 to the 3rd quarter in 2013, about each business type's production index, and used an unchangeable index. The production index about the business type is classified into the current index and the unchangeable index. The unchangeable index divides the current index into deflators to remove fluctuation. Therefore, it is easy to analyze the actual production index. This study used the unchangeable index. Results - The production index of the distribution service industry and the production index of the environmental service industry consider the autocorrelation coefficient and partial autocorrelation coefficient; therefore, ARIMA(0,0,2)(0,1,1)4 and ARIMA(3,1,0)(0,1,1)4 were established as final prediction models, resulting in the gradual improvement in every production index of both types of business. Regarding the distribution service industry's production index, it is predicted that the 4th quarter in 2014 is 114.35, and the 4th quarter in 2015 is 123.48. Moreover, regarding the environmental service industry's production index, it is predicted that the 4th quarter in 2014 is 110.95, and the 4th quarter in 2015 is 111.67. In a causal relationship analysis, the environmental service industry impacts the distribution service industry, but the distribution service industry does not impact the environmental service industry. Conclusions - This study predicted the distribution service industry and environmental service industry with the ARIMA model, and examined the causal relationship between them through the Granger causality test based on the VAR Model. Prediction reveals the seasonality and gradual increase in the two industries. Moreover, the environmental service industry impacts the distribution service industry, but the distribution service industry does not impact the environmental service industry. This study contributed academically by offering base line data needed in the establishment of a future style of management and policy directions for the two industries through the prediction of the distribution service industry and the environmental service industry, and tested a causal relationship between them, which is insufficient in existing studies. The limitations of this study are that deeper considerations of advanced studies are deficient, and the effect of causality between the two types of industries on the actual industry was not established.

• Journal of Information Technology Services
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• v.9 no.1
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• pp.91-111
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• 2010

An efficient industry structure is essential for competitive IT Service industry in a global world. The purpose of this research is to derive a policy direction paradigm for strengthening IT service industry structure. To find an effective policy direction, an in-depth analysis on deep-rooted problems of IT service industry has been conducted. The root-causes of industry problems are found with new perspectives on IT service industry. Past and present policies on IT service industry have been reviewed based on desirable industry behavior. A new policy paradigm and a roadmap for efficient industry policy are suggested. To justify adequacy of new policy direction, global benchmarking has been performed. USA, Germany, and Japan's IT service industry has been reviewed based on global competitiveness and desirable eco-system. And an in-depth analysis has been performed for two big competitors, India and China, The adequacy of the new policy paradigm has been tested, and mostly approved. IT service industry policy needs to be transformed from manufacturing concepts to service concepts, from domestic focus to global focus, from zero-sum policy to positive-sum policy, from supplier focus to market focus, from internal industry itself to co-growth with main industries. etc. The results of this study can be used for policy adjusting and policy making to strengthen IT service industry's global competitiveness and to improve long-term performance of Korean economy. Further in-depth researches with quantitative analysis will be needed to fully justify the adequacy of the derived new policy directions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.142-149
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• 2022

This study attempts to analyze the economic impact of the service robot industry using Input-Output analysis, which is conducted based on Demand-driven model, the Leontief price model, the Backward and Forward Linkage Effects, and the Exogenous Methods. In a Demand-driven model analysis, we can conclude that the service robot industry contains characteristics of both the manufacturing industry and the service industry, which causes a positive impact on the overall industry by compensating for the weaknesses of the two industries. The Leontief price analysis indicates when wages in the service robot industry increase, prices related to robot manufacturing also increase. Also, when profits in the service robot industry increase, prices related to service provision increase, too. The Backward and Forward Linkage Effects analysis shows that the service robot industry is highly sensitive to the current economic condition and has a great influence on the service industry. The service robot industry can highlight the aspect of service characteristics when the manufacturing industry is in recession and vice versa. In addition, the service robot industry can be regarded as a value-adding and domestic economy promoting industry which utilizes knowledge of information and communication technologies. It is important to foster the service robot industry in South Korea, which is in economic recession to provide an opportunity to stimulate the growth of both service and robot industries.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.201-214
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• 2009

Today many corporations converge clients' needs and IT technology, and then they are developing new service model in order to survive global situation. The changes of manufacturing industry from simple manufacture to industry for focus on services is getting speeded up, because not only growth of service part but also enlargement in creating value in services is expected. And services through collaboration with knowledge based service and only manufacturing industry is important. In this situation, this thesis is willing to propose methodology for Inter-Industry Collaboration Service Model. The proposed methodology includes procedures which develops service model, plans for Inter-Industry Collaboration Service Model and evaluating framework. Also, this applied case studies. I look forward to offering useful guideline on the proposed methodology in this study to corporations that try to create new service model through Inter-Industry Collaboration Service Model.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.255-274
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• 2008

The purpose of this research is to develop an information technology (IT) usage level assessment model for service industry. It is necessary to develop an assessment model for service industry's IT usage to improve service productivity. However, it is not easy to develop assessment models due to service industry's diversity. In this paper a generic IT usage assessment model for service industry has been developed and validated through a descriptive approach. Key factors affecting service productivity have been identified and analysed. A pilot test on IT usage level has been performed to investigate the relevance and importance of IT usage indicators (factors). As a result, a set of effective IT usage indicators for service industry have been found. A short-cut model and a full scale model have been proposed for efficient and effective usage. The results of this study can be used for enhancement of service industry productivity through the increase of IT usage level.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.235-240
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• 2009

This study examines the competitive strategy of service quality in financial industry. Service quality has been suggested as the approach for service organizations to be service and customer oriented. Recently, the issue of internal service quality has been one of topics widely discussed in financial industry. The purpose of the current study is to examine the internal service quality which is believed to increase such organizational performances as customer satisfaction, retention and revenue. Internal service quality index is used to measure service quality in service industry. In this paper, the methodology for measuring the degree of service quality which has been adopted in service quality research area was used. This paper proposes internal service quality index in financial industry. In this paper, we show the application method of internal service quality index.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.3
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• pp.35-42
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• 2008

In the national economy, rate of service industry is going up to compare with manufacture industry. In spite of getting lots of results to be introduced 6 sigma methodology in Korea, many service companies is suffering with trial and errors. Also 6 sigma isn't settled perfect yet. The reason for that, 6 sigma have been applied to various service without considering. Therefore, this research shows to you right practice plans for service industrial classification to check structural features and difference. So this research seeks methods for revitalization of 6 sigma methodology in service industry after checking existed research, case study for companies to be applied by 6 sigma. As the result, service industry is forecasted to contribute greatly in economic growth and employment enlargement through enlargement of service role in manufacturing industry production as well as by itself.

• Journal of Information Technology Applications and Management
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• v.31 no.4
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• pp.75-97
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• 2024

This paper conducts the input-output structural decomposition analysis on the growth of ICT industry during year 2000~2019. The novel feature of this study is to dissect the economy-wide collective growth contributions into industry by industry contributions. The main results are as follows. First, the growth of ICT manufacturing industry has excessively depended on its own export and import-substitution of intermediate goods, while the growth of ICT service industry has heavily depended on its own domestic final goods demand. Second, for the growth of ICT manufacturing industry, its own contribution is about 79%, and the contributions of non-ICT service and manufacturing industries respectively are 11% and 9%, but the contribution of ICT service industry is only about 1%. For the growth of ICT service industry, its own contribution is about 61%, and the contributions of non-ICT service and non-manufacturing industries respectively are about 33% and 5%, but, surprisingly, the contribution of ICT manufacturing industry is less than 1%. Third, the contributions of non-ICT manufacturing and service industries to the growth of both ICT industries have been done mainly through increase in export and domestic final goods demand together with change in the structure of input technology.

• IE interfaces
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• v.20 no.3
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• pp.315-326
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• 2007

The service industry is becoming greater importance in the current economy. The service quality has become an important competitive factor in service industry. Until now, 6 sigma method has well accomplished in manufacturing industry. 6 sigma method has been applied to the service industry to improve service quality, but it has not been reported that 6 sigma method is a successful method for service industry to improve service quality. In this paper, we suggest a MAVIC model to improve service quality. It is a model which is combined with advantages of a SERVQUAL model and 6 sigma method. We has proved its effect with applying a MAVIC model to real service techniques.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.285-296
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• 2011

Recently world industry trends is moved from manufacturing to service. As a result product-market ideology is central to the service enabler of the service. And value creation and delivery of consumer-oriented services as the core design industry is gaining popularity abroad. But the Service design to dispose of the whole process from planning to be done systematically is not yet established a clear concept. This study suggested problems of the current service design industry, service plans and strategies for the development of service design through open questionnaire and FGI(Focus Group Interview) for using service model methodology which is presented by HyeogIn Kwon et al.(2010). And we also consider 27 kinds of developing challenges for service design industry innovation by 6 sectors, such as workforce, R&D, legal framework, lay the foundation, knowledge service and collaborative service.