• Journal of Distribution Science
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• v.12 no.6
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• pp.15-20
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• 2014

Purpose - In general, researchers try to abide by the code of research ethics, but many of them are not fully aware of plagiarism, unintentionally committing the research misconduct when they write a research paper. This research aims to introduce researchers a clear and easy guideline at a conference, which helps researchers avoid accidental plagiarism by addressing the issue. This research is expected to contribute building a climate and encouraging creative research among scholars. Research design, data, methodology & Results - Plagiarism is considered a sort of research misconduct along with fabrication and falsification. It is defined as an improper usage of another author's ideas, language, process, or results without giving appropriate credit. Plagiarism has nothing to do with examining the truth or accessing value of research data, process, or results. Plagiarism is determined based on whether a research corresponds to widely-used research ethics, containing proper citations. Within academia, plagiarism goes beyond the legal boundary, encompassing any kind of intentional wrongful appropriation of a research, which was created by another researchers. In summary, the definition of plagiarism is to steal other people's creative idea, research model, hypotheses, methods, definition, variables, images, tables and graphs, and use them without reasonable attribution to their true sources. There are various types of plagiarism. Some people assort plagiarism into idea plagiarism, text plagiarism, mosaic plagiarism, and idea distortion. Others view that plagiarism includes uncredited usage of another person's work without appropriate citations, self-plagiarism (using a part of a researcher's own previous research without proper citations), duplicate publication (publishing a researcher's own previous work with a different title), unethical citation (using quoted parts of another person's research without proper citations as if the parts are being cited by the current author). When an author wants to cite a part that was previously drawn from another source the author is supposed to reveal that the part is re-cited. If it is hard to state all the sources the author is allowed to mention the original source only. Today, various disciplines are developing their own measures to address these plagiarism issues, especially duplicate publications, by requiring researchers to clearly reveal true sources when they refer to any other research. Conclusions - Research misconducts including plagiarism have broad and unclear boundaries which allow ambiguous definitions and diverse interpretations. It seems difficult for researchers to have clear understandings of ways to avoid plagiarism and how to cite other's works properly. However, if guidelines are developed to detect and avoid plagiarism considering characteristics of each discipline (For example, social science and natural sciences might be able to have different standards on plagiarism.) and shared among researchers they will likely have a consensus and understanding regarding the issue. Particularly, since duplicate publications has frequently appeared more than plagiarism, academic institutions will need to provide pre-warning and screening in evaluation processes in order to reduce mistakes of researchers and to prevent duplicate publications. What is critical for researchers is to clearly reveal the true sources based on the common citation rules and to only borrow necessary amounts of others' research.

• Atmosphere
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• v.23 no.3
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• pp.357-365
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• 2013

A public-academia cooperative research system is suggested to improve the level of national research on atmospheric science and to enable the National Institute of Meteorological Research (NIMR) to meet its overloaded demand for research and results. As a practical example of cooperative research the CIRES case was reviewed. CIRES, the Cooperative Institute for Research in Environmental Sciences, located at the University of Colorado Boulder, is one of NOAA's 18 cooperative research centers located at universities across the U.S. NOAA, the National Oceanic and Atmospheric Administration, as a part of government, gives clear guideline for research topics and supplies research funds to research centers and audits their research processes and accomplishments. NOAA Boulder Laboratories, as a large, well-established government research center managed by government scientists, supplies depth of experiences and major research infra-structure to CIRES. CIRES pursues innovative and challenging research with their younger and brand-new researchers who are university employees. This cooperative work between government research organizations and the university produces high level research efficiently. Not only does Boulder have a beautiful natural setting where researchers live and work but also the city is a home to many scientific agencies and research facilities. This robust scientific network provides rich opportunities for CIRES researchers to collaborate with others in their scientific fields.

• Journal of Research and Publication Ethics
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• v.1 no.2
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• pp.11-13
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• 2020

Purpose: The author wants to specify scope of research, identify without giving burden, prevent unfair identification of the author, admit of production of the outcome, enact rules of identification, and build up foundation of development. Also, this study defines scope of publication of outcome of research to prevent unfair identification of authors and admit of them. Research design, data and methodology: The study described literary research, standard research, phenomenon research, and empirical result without methodologies, statistical analysis and scientific test and investigated operation system of KODISA cases. Results: At publication of findings of the research, researchers shall identify the ones of production of the finding to allocate help of the research. Conclusions: Scientific journals shall be controlled to develop ability and to grow up and have a system. Researchers shall give direction of other scientific journals. The study made efforts to be a model. KODISA Edition Team shall make an effort to keep and develop. So far, no regulation of identification of authors has produced disturbance so terminologies should be uniformed. Researchers shall keep rules of identification of authors to uniform and regulate identification of authors, conditions of authors, and order and correspondent authors. KODISA enacted rules of identification of authors for the first time in Korea to develop science.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.423-431
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• 2021

This research (1) examines the effect of stock ownership structure on capital structure; (2) explains the effect of stock ownership structure on corporate value; and (3) investigates the influence of capital structure on corporate value. This research is categorized as a quantitative research, which is directed to test various theories. In this study, the population of all consumption companies listed on the Indonesia Stock Exchange (IDX) consist of 38 companies. Population data in this study are all consumption companies, which have gone public in the period from 2010 to 2015. In this study, given the objectives and problem formulation and hypothesis, the analysis method used is Generalized Structural Component Analysis (GSCA). Ownership structure has a significant effect on capital structure; ownership structure has no significant effect on corporate value; capital structure has a significant effect on corporate value; corporate value has a significant effect on capital structure. Previous research found different results. Some researchers found a positive relationship and other researchers found a negative relationship, and there are studies that found both significant and non-significant effects. The inconsistency of previous research results prompted the researchers to examine the effect of ownership structure on capital structure and corporate value.

• Journal of Information Science Theory and Practice
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• v.9 no.1
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• pp.54-67
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• 2021

This paper presents the ISRI (Information Systems Research Indicators) Web tool, publicly and freely available at isri.sciencesphere.org. Targeting Information Systems (IS) researchers, it compiles and organizes IS adoption and use theories/models, constructs, and indicators (measuring variables) available in the scientific literature. Aiming to support the IS theory development process, the purpose of ISRI is to gather and systematize information on research indicators to help researchers and practitioners' work. The tool currently covers eleven theories/models: DeLone and McLean's IS Success Model (D&M ISS); Diffusion of Innovations Theory (DOI); Motivational Model (MM); Social Cognitive Theory (SCT); Task-Technology Fit (TTF); Technology Acceptance Model (TAM); Technology-Organization-Environment Framework (TOE); Theory of Planned Behavior (TPB); Decomposed Theory of Planned Behavior (DTPB); Theory of Reasoned Action (TRA); and Unified Theory of Acceptance and Use of Technology (UTAUT). It also includes currently over 400 constructs, nearly 2,500 indicators, and about 60 application contexts related to the models. For the creation of the tool's database, nearly 580 references were used.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.5
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• pp.423-432
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• 2022

This paper analyzes a total of 10,599 papers related to COVID-19 from January 2020 to July 2022 collected from the KCI site using LDA topic modeling so that academic researchers can understand the overall research trend. The results of LDA topic modeling are analyzed by major research categories so that academic researchers can easily figure out topics in their research fields. Then, the detailed research category information in which a lot of research is done by topic is analyzed. It is very important for academic researchers to understand the trend of research topics over time. Therefore, in this paper, the trend of topics is analyzed and presented using time series decomposition.

• Journal of the Korean Society for information Management
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• v.25 no.2
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• pp.127-141
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• 2008

In this study, we investigated the information users' needs and information seeking behavior in the field of science and technology. We found that the science and technology researchers most frequently needed information while conducting the research & development related tasks and drafting research papers. The researchers attributed the main sources of research ideas to be the communication among colleagues and the literature review. The researchers's most preferred information sources were digital libraries, web search engines, and academic information portal. In conclusion, the science and technology researchers regarded the online use of electronic materials as the primary source of information. We hope that this investigation reported herein to be the foundation for developing user-centered information services for the science and technology discipline.

• Journal of Internet Computing and Services
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• v.20 no.4
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• pp.73-79
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• 2019

Selecting a proper journal to submit a research paper is a difficult task for researchers since there are many journals and various decision factors to consider during the decision process. For this reason, journal recommendation services are exist as a kind of intelligent research assistant which recommend potential journals. The existing services are executing a recommendation based on topic similarity and numerical filtering. However, it is impossible to calculate topic similarity when a researcher does not input paper data, and difficult to input clear numerical values for researchers. Therefore, the journal recommendation method which consider the importance of decision factors is proposed by constructing the preference matrix based on the paper publication history of a researcher. The proposed method was evaluated by using the actual publication history of researchers. The experiment results showed that the proposed method outperformed the compared methods.

• Journal of Labour Economics
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• v.43 no.3
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• pp.101-121
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• 2020

The purpose of this study, reflecting the characteristics of recent R&D activities, where knowledge convergence and exchange and the growth of researchers are becoming more important, is to promote the growth of outstanding researchers by establishing a support system for researcher career development (intensifying expertise) and career fluidity (change in core research topics). Using the results of a survey of 548 researchers from government-funded research institutes, this study analyze environmental factors of research that promotes career development suitable for the growth of researchers after quantitatively verifying the effects of career development and career mobility on research outcomes. As a result of the analysis, it is more desirable to strengthen career liquidity after stable career development, but the human resources and career development support systems of research institutes are insufficient. Therefore, in this study, policy measures to support researcher career development and liquidity were proposed in four stages.

• Spatial Information Research
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• v.22 no.6
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• pp.1-11
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• 2014

It is possible to design a strategy for expanding the applications of GIS by identifying why social science researchers use GIS. This study analyses motivating factors for the researchers to utilize GIS and their satisfying factors towards the result. It is based on survey results which was answered by social science researchers at national research institutes and local governmental research institutes in South Korea in the perspective of merits of applying GIS, level of GIS usability and experienced effectiveness of applying GIS. Analysis result reveals that motivating factors to researchers applying GIS are correlated with efficiency in their research and satisfying factors are correlated to the usability. Then, we induced a fact that motivative factors for applying GIS is not related to the satisfaction of that. It may be a reason which researchers use GIS less applying in social science fields. As a result, it is necessary to connect the motivating and satisfying factors to further expand GIS applications.