• Journal of Information Technology Applications and Management
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• 제20권4호
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• pp.221-234
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• 2013

In this paper, we report bankruptcy risk level forecasting result for automobile parts manufacturing industry. With the premise that upstream supply risk and downstream demand risk could impact on automobile parts industry bankruptcy level in advance, we draw upon industry input-output table to use the economic indicators which could reflect the extent of supply and demand risk of the automobile parts industry. To verify the validity of each economic indicator, we applied simple linear regression for each indicators by varying the time lag from one month (t-1) to 12 months (t-12). Finally, with the valid indicators obtained through the simple regressions, the composition of valid economic indicators are derived using stepwise linear regression. Using the monthly automobile parts industry bankruptcy frequency data accumulated during the 5 years, R-square values of the stepwise linear regression results are 68.7%, 91.5%, 85.3% for the 3, 6, 9 months time lag cases each respectively. The computational testing results verifies the effectiveness of our approach in forecasting bankruptcy risk forecasting of the automobile parts industry.

• 한국IT서비스학회지
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• 제21권6호
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• pp.117-125
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• 2022

In respond to climate change caused by global environmental problems, countries around the world are actively promoting the advancement of new electricity industries. The new energy business is being applied to energy storage systems (ESS), electric vehicle charging business, and power demand response using cutting edge technologies. In 2022, the Korean government is also establishing a policy stance to foster new energy industries and making efforts to improve its responsiveness to power demand response with the innovative technologies. In Korea, attempts to commercialize energy power are also being made in the private and public sectors to control energy power in houses, buildings, and industries. For example, private companies, local governments, and central government are making all-out efforts to develop new energy industry models through joint investment. There are forms such as establishing energy-independent facilities by region, establishing an electric vehicle charging system, controlling urban lighting systems with Information technologies, and managing demand between power suppliers and power consumers. This study examined the business model applied with energy storage system, electric vehicle charging business, smart lighting, and power demand response based on information communication technology to examine the site where smart energy system was introduced. According to this study, company missions and government tasks are suggested to apply new energy business technologies as economical energy solutions that meet the purpose of use by region, industry, and company.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.425-432
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• 2009

The construction industry has been a main pillar and serves as a regulator of the Hong Kong economy. Subsequently, the fluctuations in the level of construction output can induce significant rippling effects to the economy. The Asian Financial Crisis started in 1997 and the SARS outbreak in 2003 both introduced major challenges and impacts to the Hong Kong economy and consequently the construction sector. Such decline in the importance of construction has suggested a possible structural change in the sector. It is worth investigating the driving forces behind the construction demand and see if they have changed after the heavy impacts in the past decade. The above considerations have, therefore, been the motivation of the present study to model the Hong Kong residential construction demand through multiple regression technique which can identify the significant influencing factors to the residential demand. The residential construction is studied as it constitutes a significant portion of the total construction volume. The residential sector has great influence to the general economy of Hong Kong. It is found that the underlying market structure and the driving factors for Hong Kong residential demand before and after the Asian Economic Crisis and SARS outbreak are different, suggesting that the residential construction sector or even the larger construction industry may have undergone a major structural change as Hong Kong's economy approaches maturity. It is also observed that the past literatures on construction demand are mostly focusing on predicting demand under a stable economic environment. Hence, it is worth examining if it is possible to model during economic hardship when the residential sector fluctuate dramatically under different external impacts, such as the recent global financial tsunami.

• Journal of Korea Trade
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• 제25권6호
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• pp.34-56
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• 2021

Purpose - This study presents strategies to overcome the COVID-19-induced crisis in Korea's meetings, incentives, conferences, and exhibitions (MICE) industry. It aims to quantitatively identify the environmental factors affecting the industry and their degree of influence, and derive optimal countermeasures. Design/methodology - The study applied the SWOT-AHP-TOWS framework. An AHP analysis was first performed within the SWOT frame, and then a TOWS analysis was conducted using the results of the SWOT-AHP analysis. In the AHP analysis, the number of pairwise comparison questions was limited to four for each SWOT factor to increase the consistency of responses by reducing the burden on respondents. Findings - The plunge in demand (threats factor) has had an overwhelming impact on the MICE industry, more than any other environmental factor. To overcome the crisis, the ST alternative that takes advantage of dynamic pop culture to minimize the business damage caused by the plunge in demand was the top priority measure. Based on the results, this study presents suggestions for overcoming the crisis in the MICE industry. First, the industry should develop profitable business models to supplement scarce financial resources by exploiting Korea's success with quarantine management. Second, the government must provide emergency relief funds or bailout support to protect MICE facilities and employees. Originality/value - Unlike previous work on the MICE industry, this study utilized the SWOT-AHPTOWS framework to derive quick research results in an abnormal situation. This approach can be expanded to other countries with different industrial environments and situations. Additionally, when applying this method to MICE sub-sectors, countermeasures should be tailored to each field.

• 한국공간정보시스템학회 논문지
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• 제7권1호
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• pp.3-11
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• 2005

본 과제는 정통부가 839 IT 신 성장 동력으로 추진 중인 텔레매틱스를 주 대상으로 한 무선공간정보서비스 기술 개발 사업을 성공적으로 수행하기 위해 필요한 최적의 인력을 예측하는 기법을 제시하고 2004년부터 2008년까지의 중기 인력 수요를 예측하는데 그 목적이 있다. 텔레매틱스 인력수요 예측을 위하여 한국의 현실에 적합한 인력 수요예측 모델을 제시하였다. 인력 수요 예측은 국내외 전문 기관들이 조사한 텔레매틱스 산업 추정치와 1인당 노동생산성을 감안하여 분야별 전체 인력수요 전망 구하였다. 또한 실태조사에서 도출된 분야별 직종별 취업구조 등을 적용하여 분야별 직종별 인력 수요를 도출한 후 이에 평균 탈락율을 감안하여 연도별 신규 인력 수요를 도출하였다.

• 토지주택연구
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• 제9권2호
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• pp.33-40
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• 2018

Korea seems to have introduced the legal basis for supporting and revitalizing the 6th industry since about 2010. Problems such as lack of systematic support system, inadequacy of cooperation and cooperation between ministries, and poor efficiency have been raised. Also, there is a lack of information on the designation, development method, participant, and management plan of the 6th industrial complex. In this study, we review prior researches and cases related to the 6th industry and examine how to efficiently create the 6th industry-specific complex by analyzing the requirements of customers for the enterprises, residents, professionals and officials of the metropolitan area and non-metropolitan areas. As a result of the questionnaire survey, some suggestions for the establishment of the 6th industry specialization complex were drawn. First, 77.5% of the total requires a combination of public and mixed use, which can be expected to have positive effects such as sharing development gains with local residents and improving resettlement of local residents. Second, the 6th industrial complex should be harmonized with the 1st, 2nd and 3rd industries. However, unlike the standardized land use plan of existing industrial complex, it is necessary to expand the distribution and sales space to reflect the demand for tertiary industry. It is also necessary to consider measures for securing primary industrial sites or securing primary industrial sites through external procurement. Third, it is necessary to establish and operate a plan reflecting rent and rental demand after leasing for a certain period.

• 한국건설관리학회논문집
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• 제23권2호
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• pp.24-32
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• 2022

우리나라 건설업의 생산성은 매우 낮은 수준으로 평가되고 있으며, 제4차 산업혁명의 요소 기술 활용도도 다른 산업에 비해 매우 낮은 실정이다. 이러한 문제점을 해결하기 위해 시공단계에서 직접적으로 시공을 담당하는 전문건설업의 기술 개선 수요를 파악할 필요가 있다. 따라서, 본 연구에서는 우리나라 전문건설업의 기술개선 수요를 조사, 분석하여 시공경쟁력을 향상시키기 위한 시사점을 제시하고자 한다. 이를 위해 국내 전문건설업종의 분류 개념과 현황을 파악하고 이를 기반으로 설문조사지를 구성하였다. 그리고 전문건설업 종사자를 제외한 전문가를 대상으로 조사를 실시하였으며, AHP와 클러스터링 기법을 활용하여 전문건설 업종별 기술 개선 수요에 대해서 도출하였다. 본 연구의 성과는 향후에 시공 경쟁력을 높이기 위한 정책개발과 R&D 투자방향, 그리고 기술개발 로드맵의 실질적인 참고자료가 될 것이며, 국내 건설산업의 시공 경쟁력을 향상시키기 위한 방향성을 제시하는데 도움이 될 것이다.

• 전기학회논문지
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• 제63권8호
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• pp.1111-1115
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• 2014

With the increasing interest of a demand side management using a Smart Grid infrastructure, the demand resources and energy usage data management becomes an important factor in energy industry. In addition, with the help of Advanced Measuring Infrastructure(AMI), energy usage data becomes a Big Data System. Therefore, it becomes difficult to store and manage the demand resources big data using a traditional relational database management system. Furthermore, not many researches have been done to analyze the big energy data collected using AMI. In this paper, we are proposing a Hadoop based Big Data system to manage the demand resources energy data and we will also show how the demand side management systems can be used to improve energy efficiency.

• 한국항공운항학회지
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• 제28권4호
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• pp.147-153
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• 2020

This study analyzed the outlook for aviation demand for the recovery of the aviation industry, focusing on airlines facing difficulties in management due to the Covid-19 crisis. Although the timing of the recovery in aviation demand is uncertain at the moment, this study is based on prior research related to Covid-19 and forecasts by aviation specialists, and analyzed by SWOT technique to a group of aviation experts to derive and suggest implications for the prospects of aviation demand. Looking at the implications based on the analysis results, first, customer trust to prevent infection should be considered a top priority for recovering aviation demand. Second, promote reasonable air price policy. Finally, it seeks to try various research and analysis techniques to predict long-term aviation demand to overcome Covid-19.

• 한국IT서비스학회지
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• 제7권2호
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• pp.41-57
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• 2008

The development of service-based software and web-based application aims for providing user-demand service. On-demand software is emerging for same reason. Software delivery models like on-demand software is expected to change the software industry as an important technical revolution with the firm's strategy. Few research, however, has been done on the on-demand software. While much research on ASP and SaaS focused on firm' use, this study intends to examine the intention of using on-demand software targeting personal user. The intention to use of on-demand software was empirically examined in terms of quality, user characteristics, usefulness, easy of use, and security. Results shows that usefulness and easy of use are most significantly related to the intention of using on-demand software. Other factors are also found to affect the intention to use of on-demand software. This study contributes to improve the understanding and interest in on-demand software and it is expected to spread widely for individual user.