• Title/Summary/Keyword: Financial Difficulties

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Assessing the R&D Effectiveness and Business Performance: A Review of Their Mechanisms and Metrics

  • Cho, Yonghee
    • STI Policy Review
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    • v.9 no.1
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    • pp.1-29
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    • 2018
  • With the constant growth of R&D investment, it has been increasingly necessary to evaluate the effectiveness of R&D performance and there is a high emphasis on ensuring the accountability and effectiveness of R&D programs. The evaluation of performance of a firm is especially necessary in times of economic downturn to justify R&D investment. However, there is a marked shortage of clear guidelines as to where and how particular metrics are used to measure the output and outcome of R&D activity in firms. Many firms have difficulties in selecting appropriate indicators for their R&D and financial performances. To fill this gap, this article discusses and presents the findings from the literature in such a way that they become useful for researchers or managers who are in charge of measuring the R&D and business performances arising from innovation activities. Finally, based on the findings about metrics of R&D performance, this article proposes the hypothetical framework to investigate the relationship between technology forecasting, strategic technology planning, and business performance. The framework of this article will assist policy makers, universities, research institutes/national laboratories, and companies to enhance their decision making process in technology development.

Investigating Keynesian Theory in Reducing Unemployment and Poverty in Indonesia

  • PRASETYO, P. Eko;CAHYANI, E. Nur
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.10
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    • pp.39-48
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    • 2022
  • This research aims to investigate the application of Keynes's theory in Indonesia, particularly in solving unemployment and poverty problems through government spending, economic growth, and human resource capacity. The basic concepts of the Keynesian theory were used as a method, through which government spending was harnessed toward economic growth in reducing unemployment and poverty rate. The analytical materials used were panel data for the 2017-2021 period in Central Java, Indonesia. The analytical methodology used was a multiple regression experimental design in selecting the best model according to Keynes's theory, especially for overcoming formidable problems. The main results showed that large Government spending program is ineffective in encouraging pro-growth, pro-job, pro-poor, and pro-equity development policy strategies. The causes of this failure include the violation of Keynes' assumptions about rationality and the low quality of education investment, which do not encourage productive and innovative entrepreneurship, as well as self-employment opportunities. As a result, government spending, including subsidies and direct financial assistance, used to implement the macroeconomic monetary, unstructured, and fiscal policy system is insufficient to significantly reduce the enormous difficulties. The main research results confirm that human capital capacity is the key to mitigating and reducing unemployment and poverty.

New evaluation of ship mooring with friction effects on mooring rope and cost-benefit estimation to improve port safety

  • Lee, Sang-Won;Sasa, Kenji;Aoki, Shin-ich;Yamamoto, Kazusei;Chen, Chen
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.13 no.1
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    • pp.306-320
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    • 2021
  • To ensure safe port operations around the world, it is important to solve mooring problems. In particular, the many ports that face open seas have difficulties with long-period waves. As a countermeasure, the installation of a breakwater is proposed for mooring safety. However, this often cannot be put into practice because of financial issues. Instead, port terminals control berthing schedules with weather forecasting. However, mooring problems remain unsolved, because of inaccurate wave forecasting. To quantify the current situation, numerical simulations are presented with ship motions, fender deflections, and rope tensions. In addition, novel simulations for mooring ropes are proposed considering tension, friction, bending fatigue, and temperature. With this novel simulation, the optimal mooring method in terms of safety and economic efficiency was confirmed. In terms of safety, the optimal mooring method is verified to minimize dangerous mooring situations. Moreover, the optimal mooring method shows economic benefits and efficiency. It can help to reinforce the safety of port terminals and improve the efficiency of port operations.

Characteristic Analysis and Development Direction for Defense UAVs

  • Seong-Hoon, Lee;Dong-Woo, Lee
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.1
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    • pp.171-176
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    • 2023
  • What we have in common worldwide today is economic difficulties due to high inflation and uncertainty in the financial industry. The root cause of this is the war between Russia and Ukraine. The war between Russia and Ukraine is not simply a war between two countries. The United States and the European Union are providing military aid such as missiles to Ukraine, and Russia is attacking Ukraine by introducing UAVs (unmanned aerial vehicles) from Iran. A prominent weapon in this Russia-Ukraine war is the UAVs used in Russia. It is predicted that the form of war using UAVs will gradually expand in the future based on stealth. In addition, UAVs will continue to be used due to the fact that they can cause serious damage to the other country without harming their own lives, and because they have good cost-effectiveness. In this study, UAVs based on autonomous driving were studied. The target countries of the study include the United States, the European Union, China, and Iran, and the UAVs used in these countries have characteristics that can represent the world. In this study, the main specifications of major UAVs in use in major countries were investigated. In addition, the future technology and development direction were described through specifications and characteristics of UAVs currently in operation in major countries.

An Analysis of the Effects of Fintech on the Banking and Savings Banking Industries in Korea (핀테크 등장이 은행 및 저축은행 산업에 미치는 영향 분석)

  • Lee, Junhee;Song, Joonhyuk
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.271-282
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    • 2022
  • The paper analyzes the effects of the emergence of Fintech on the banking and savings banking industries in Korea. From the analysis, we find that net interest margin decreases and credit supply increases with the advent of Fintech in the banking industry. Similarly, in the savings banking industry, a profitability index decreases. This is interpreted as the result of reduced monopoly power and increased efficiency in the industries, inducing an increase in overall consumer benefits. Individual financial institutions may, however, experience difficulties such as reduced profitability and increased Fintech investment costs.

A qualitative research on the needs for oral care according to the subjective oral health status of the elderly (노인의 주관적인 구강건강상태에 따른 구강관리 요구도에 관한 질적연구)

  • Sang-Eun Moon;Sun-Hwa Hong;Bo-Ram Lee
    • Journal of Korean society of Dental Hygiene
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    • v.23 no.4
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    • pp.311-321
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    • 2023
  • Objectives: The purpose of this study was conducted an in-depth analysis of the subjective oral status and oral care needs according and problems of the elderly. Methods: A phenomenological research method was from April 13 to 30, 2023, 15 elderly people aged 65 or older in Gwangju and Jeolla regions were surveyed. Results: He was experiencing oral changes such as difficulty chewing, dry mouth and indigestion, sensitive teeth, smell of fear and feeling sensitive when eating sweet or cold food. They were burdened by the financial difficulties of dental treatment costs, the inconvenience caused by frequent visits, and the pain experienced during treatment. Realized the need for necessity of oral care education, and their confidence was restored through dental treatment. It was necessary the image recovery of dentistry, and they wanted to maintain oral health through the expansion of treatment health insurance. Conclusions: Consequently, it is necessary to develop a practical oral health management program for the elderly based on social communication regarding of the elderly and to expand health insurance coverage.

Causes of Delay in Tall Building Projects in GCC Countries

  • Sanni-Anibire, Muizz O.;Zin, Rosli Mohamad;Olatunji, Sunday Olusanya
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.50-59
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    • 2020
  • The 21st century is witnessing a rapid growth of tall buildings in urban centers globally to create more urban space for an anticipated urban population. Tall buildings, however suffer from incessant delays and sometimes total abandonment. Consequently, this study investigated and ranked the causes of delay in tall building projects, while focusing on the Gulf Cooperation Council (GCC) countries. Initially, 36 common delay causes investigated globally were categorized into 9 groups, and then further ranked utilizing the Relative Importance Index (RII) through a questionnaire survey. Tall building professionals in the GCC countries (Saudi Arabia, United Arab Emirates, Bahrain, Kuwait, Oman and Qatar) were contacted. The respondents' categories include Consultants, Contractors, and Clients' Representatives/Facility Managers. The results reveal that the top three causes include "client's cash flow problems/delays in contractor's payment", "contractor's financial difficulties", and "poor site organization and coordination between various parties". The findings from this study could help construction professionals develop guidelines and controls for delay mitigation, as well as support them in risk-based decision making in the planning of tall building projects.

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A Decision Support System for Small & Medium Construction Companies (SMCCs) at the early stages of international projects

  • Park, Chan Young;Jang, Woosik;Hwang, Geunouk;Lee, Kang-Wook;Han, Seung Heon
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.213-216
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    • 2015
  • Despite the significant increase of Korean contractors in the international construction market, many SMCCs (Small & Medium Construction Companies) have suffered in the global financial crisis, and some of them have been kicked out of the international market after experiencing huge losses on projects. SMCCs face obstacles in the international market, such as an insufficient ability to gather information and inappropriate management of associated risks, which lead to difficulties in establishing effective business strategies. In other words, making immature decisions without an effective business strategy may cause not only the failure of one project but also the bankruptcy of the SMCC. To overcome this, the research presented herein aims to propose a decision support system for SMCCs, which would screen projects and make a go/no-go decision at the early stages of international projects. The proposed system comprises a double axis: (1) a profit prediction model, which evaluates 10 project properties using an objective methodology based on a historical project performance database and roughly suggests expected profit rate, and (2) a feasibility assessment model, which evaluates 17 project environment factors in a subjective and quantitative methodology based on experience and supervision. Finally, a web-based system is established to enhance the practical usability, which is expected to be a good reference for inexperienced SMCCs to make proper decisions and establish effective business strategies.

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A Study on Detection of Abnormal Patterns Based on AI·IoT to Support Environmental Management of Architectural Spaces (건축공간 환경관리 지원을 위한 AI·IoT 기반 이상패턴 검출에 관한 연구)

  • Kang, Tae-Wook
    • Journal of KIBIM
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    • v.13 no.3
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    • pp.12-20
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    • 2023
  • Deep learning-based anomaly detection technology is used in various fields such as computer vision, speech recognition, and natural language processing. In particular, this technology is applied in various fields such as monitoring manufacturing equipment abnormalities, detecting financial fraud, detecting network hacking, and detecting anomalies in medical images. However, in the field of construction and architecture, research on deep learning-based data anomaly detection technology is difficult due to the lack of digitization of domain knowledge due to late digital conversion, lack of learning data, and difficulties in collecting and processing field data in real time. This study acquires necessary data through IoT (Internet of Things) from the viewpoint of monitoring for environmental management of architectural spaces, converts them into a database, learns deep learning, and then supports anomaly patterns using AI (Artificial Infelligence) deep learning-based anomaly detection. We propose an implementation process. The results of this study suggest an effective environmental anomaly pattern detection solution architecture for environmental management of architectural spaces, proving its feasibility. The proposed method enables quick response through real-time data processing and analysis collected from IoT. In order to confirm the effectiveness of the proposed method, performance analysis is performed through prototype implementation to derive the results.

A Research on Enhancing Aviation Safety Culture by Building the Level of Safety Awareness (안전의식 수준 확보를 통한 항공 안전문화 증진 방안 연구)

  • Jehwan Song;Je-Hyung Jeon;Geun-Hwa Jeong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.3
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    • pp.10-16
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    • 2023
  • Demand for air travel, which shrank sharply following the outbreak of the COVID-19, has recently recovered up to 80% before the spreading pandemic. As a result, the number of passengers are rapidly increasing again. However, financial difficulties and lack of skilled workers in the aftermath of a long-term recession and pandemic lead to a decrease in aviation safety awareness which is fundamental for safety culture. Consequently, this hazard can act as a potential risk factor for the global aviation industry preparing for a new leap forward in the post-pandemic era. Therefore, this study analyzed and defined the four key elements of aviation safety awareness; attitude, belief, perception, and value. Based on this analysis, this study combined the four key elements into the P-D-C-A cycle to derive what top management, middle managers, and workers should each do to continuously improve the positive safety culture.