• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.1015-1024
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• 2020

This inductive study seeks to establish a conceptual background for theoretical development regarding talent misuse in the context of small and medium-sized enterprises (SME). The two objectives for the goal were (1) to explore and build a list of unethical treatment practiced on young talents; (2) to establish new framework for the special context or refining the existing framework on employee mistreatment. For the first goal, an attempt was made to develop a list of mistreating behavior by collecting and analyzing cases of ethical disputes. Analyses on 64 cases of talent mistreatment, namely 'passion pay', was conducted to present a conceptual ground for further investigation. Then, for the second objective, this study has proposed an integrative approach for assessing these ethical elements. The ethical implications were discussed based on an assessment conducted using three theories of ethics. Finally, a cluster analysis further shows the emergence of three groups based on the mistreating behaviors. We observed seven different mistreatment behaviors under four categories of mistreatment practices. Additionally, the cluster analysis results imply that talent mistreatment may be rooted in work characteristics. Organizational size may provide some contextual reasoning, but the extent to which this factor interacts with work characteristics left unclear.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.91-105
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• 2019

The paper aims to combine balance sheet analysis at the firm level with the International Monetary Fund's public debt sustainability assessment framework to assess state-owned enterprises' (SOE) leverage as a contingent liability to the public sector. Based on company data and the interest coverage ratio as a measure of debt at risk, aggregate baseline scenarios are projected to gauge the magnitude of SOE debt as a contingency. SOE's financial and debt ratios are first bootstrapped to generate firm-level distributions and then averaged into a fan chart of the economy-wide SOE contingent liability. Applied to the People's Republic of China as an example, the study finds that by the end of 2015 SOE leverage had grown to a substantial liability. However arbitrary the assumptions underlying these projections, it would appear that even if authorities had to mop up as much as 20% of SOE debt at risk gone bad, this would have been manageable at roughly 2.7% of the gross domestic product in 2016 or 5.5% by 2021. This projection framework is fully amenable to alternative assumptions and settings, which makes it a useful analytical tool to monitor contingent liabilities from non-financial corporate debt that have been building in emerging and advanced economies alike.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.931-941
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• 2021

The study focuses on the relationship between SB, corporate social responsibility (CSR), and the emerging economy. Thereafter it highlights the types, principles, and funding cycle of SB with the evidence from Grameen Bank, which is a globally well-recognized microfinance venture in Bangladesh established by the Nobel Laureate Dr. Muhammad Yunus. This study employs qualitative analysis to illustrate an architectural overview of the SB model by collecting secondary data from various publications related to the topic and published data of Grameen Bank. Finally, this paper illustrates the SB model along with specified characteristics, systematic framework, and main approaches for sustainable context, which could be applied as a conceptual framework for SB in any context of the emerging economy. The findings of this study suggest that the SB model is the workflow having a hierarchy of five phases namely need identification, goal setting, solution-based business plan, business plan assessment, and business plan execution. Analyzing a range of social business interventions in a developing country, Bangladesh, through the lens of five key aspects demonstrates that social business is the most efficient way to sustainably maximize the social benefits and minimize specific social issues poverty of the people affected.

• Journal of The Korean Association For Science Education
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• v.36 no.4
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• pp.607-616
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• 2016

In the 2009 revised science curriculum, comprehensive verbs such as 'know (38%)' and 'understand (46%)' are used in more than 80% of the achievement standard. Many readers, such as teachers, textbook makers, etc. have difficulties in interpreting the meaning of achievement standard sentences with these comprehensive verbs. On the other hand, 'Trends in International Mathematics and Science Study (TIMSS)' uses more various and specific verbs to express the cognitive domain. In this study, we analyzed the 2009 revised science curriculum achievement standard focusing on the TIMSS cognitive domain assessment framework. We divided achievement standard to 228 sentences and three teachers analyzed the meaning of verbs in achievement standard. There were two main results of this study. First, the verb 'Know' was analyzed into different kinds of meanings, such as 'Describe (27%)', 'Recall/Recognize (25%)' and 'Relate (17%)', etc; and the verb 'Understand' was analyzed into 'Explain (37%)', 'Relate (27%)' and 'Describe (21%)', etc. Second, there appeared to have a disagreement among the three analysts during the process of interpreting the achievement standards when the level and scope of the contents of each grade is not clear. This study concludes that there's a need for continuous discussion on the use of verbs in achievement standard to promote clearer expressions for better understanding.

• Journal of Science and Technology Studies
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• v.15 no.2
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• pp.99-133
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• 2015

Responsible Research and Innovation (RRI) is a concept emerging rapidly as a theoretical and methodological framework to shape science for better society, instead of merely for economic growth. While the responsibility of science usually means ethics of researchers in the process of research, RRI extends the concept of the responsibility by claiming that researchers should be responsible for the purpose and outcome of research as well. In addition, RRI proposes four interconnected concepts of anticipation, reflectivity, deliberativeness/inclusiveness, and responsibility as a methodological framework to achieve these tasks. However, RRI is not merely a theoretical concept but has been already practiced at many levels in real world. We discuss how RRI has been practiced and played important roles in reflecting on research and innovation policies in the past and guiding new policies by examining two research projects, STIR and SPICE, and three national R&D programs, EPSRC's embracement of RRI in the Britain, MVI in the Netherlands, and R&D for social problem-solving in Korea.

• Journal of dental hygiene science
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• v.11 no.3
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• pp.135-154
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• 2011

Dental hygiene was originated from dentistry and dental hygiene knowledge was a component of dental knowledge body. Since the late 1980s dental hygiene theory was began to develop. Nursing theories such as metaparadigm, nursing process and human need theory affected theory development as dental hygiene process. Dental hygiene process provides a framework for high quality dental hygiene care. Dental hygiene process include five phases; assessment, dental hygiene diagnosis, dental hygiene planning, implementation, evaluation. Dental hygiene process of care is recognized as standard for dental hygiene education and clinical dental hygiene practice. Dental hygiene practice has moved from auxiliary model to professional model. Critical thinking skill and disposition are necessary to provide evidence-based dental hygiene care using dental hygiene process as clinical process and critical thinking process. Critical thinking, problem solving and evidence-based practice must be integrated into dental hygiene process for quality dental hygiene care.

• Journal of the Korea Safety Management & Science
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• v.17 no.4
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• pp.13-22
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• 2015

Total accident rate in the construction industry is a very meaningful reduction to establish a comprehensive disaster reduction measures, including through the Survey, the disaster prevention projects whilst driving status and problem analysis in order to reduce the mature workers in the construction industry is growing rapidly in all disaster disasters (share) The days. It is urgent to establish a framework and measures that can identify the specific cause for this than for the middle-aged workers and disaster reduction in disaster reduction efforts, which continue to increase. Used as measures of information and data presented in the basic requirements of mature workers also been.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.3
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• pp.43-59
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• 1995

This paper presents a method for estimating the population variability distribution of the failure parameter (failure rate or failure probability) for each failure mode considered in PSA (Probabilistic Safety Assessment). We focus on the utilization of generic estimates from various industry compendia for the estimation. The estimates are complicated statistics of failure data from plants. When the failure data referred in two or more sources are overlapped, dependency occurs among the estimates provided by the sources. This type of problem is first addressed in this paper. We propose methods based on ML-II estimation in Bayesian framework and discuss the characteristics of the proposed estimators. The proposed methods are easy to apply in real field. Numerical examples are also provided.

• Journal of the Korea Safety Management & Science
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• v.4 no.4
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• pp.97-108
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• 2002

This study deals with the application of knowledge-based engineering and a methodology for the assessment & measurement of reliability, availability, maintainability, and safety of industrial systems using fault-tree representation. A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach. To improve the quality of results, the membership functions must be approximated based on heuristic considerations. Conventionally, it is not always easy to obtain a system reliability for components with different individual failure probability density functions(p.d.f.), We utilize fuzzy set theory to solve the adequacy of the conventional probability in accounting and processing of built-in uncertainties in the probabilistic data. The purpose of this study is to propose the framework of knowledge-based engineering through integrating the various sources of knowledge involved in a FTA.