• Title/Summary/Keyword: Data Ethics

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Ethical Conducts in Qualitative Research Methodology :Participant Observation and Interview Process

  • KANG, Eungoo;HWANG, Hee-Joong
    • Journal of Research and Publication Ethics
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    • v.2 no.2
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    • pp.5-10
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    • 2021
  • Purpose: Ethical behaviors become more salient when researchers utilize face-to-face interviews and observation with vulnerable groups or communities, which may be unable to express their emotions during the sessions. The present research aims to investigate ethical behaviors while conducting research have resonance due to the deep nature of observation and interview data collection methods. Research design, data and methodology: The present research obtained non-numeric (Textual) data based on prior literature review to investigate Ethical Conducts in Qualitative Research. Non-numeric data differs from numeric data in how the data is collected, analyzed and presented. It is important to formulate written questions and adopt them what the method claims for the researcher to understand the studied phenomenon. Results: Our findings show that while conducting qualitative research, researchers must adhere to the following ethical conducts; upholding informed consent, confidentiality and privacy, adhering to beneficence's principle, practicing honesty and integrity. Each ethical conduct is discoursed in detail to realize more information on how it impacts the researcher and research participants. Conclusions: The current authors concludes that five ethical conducts are important for realizing extensive and rich information during qualitative research and may be exploited in implementing research policies for researchers utilizing observation and interviews methods of data collection.

Cases of Ethical Violation in Research Publications: Through Editorial Decision Making Process (편집심사업무 관점에서 학술지 윤리강화를 위한 표절 검증사례)

  • Hwang, Hee-Joong;Lee, Jung-Wan;Kim, Dong-Ho;Shin, Dong-Jin;Kim, Byoung-Goo;Kim, Tae-Joong;Lee, Yong-Ki;Kim, Wan-Ki;Youn, Myoung-Kil
    • Journal of Distribution Science
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    • v.15 no.5
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    • pp.49-52
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    • 2017
  • Purpose - To improve and strengthen existing publication and research ethics, KODISA has identified and presented various cases which have violated publication and research ethics and principles in recent years. The editorial office of KODISA has been providing and continues to provide advice and feedback on publication ethics to researchers during peer review and editorial decision making process. Providing advice and feedback on publication ethics will ensure researchers to have an opportunity to correct their mistakes or make appropriate decisions and avoid any violations in research ethics. The purpose of this paper is to identify different cases of ethical violation in research and inform and educate researchers to avoid any violations in publication and research ethics. Furthermore, this article will demonstrate how KODISA journals identify and penalize ethical violations and strengthens its publication ethics and practices. Research design, data and methodology - This paper examines different types of ethical violation in publication and research ethics. The paper identifies and analyzes all ethical violations in research and combines them into five general categories. Those five general types of ethical violations are thoroughly examined and discussed. Results - Ethical violations of research occur in various forms at regular intervals; in other words, unethical researchers tend to commit different types of ethical violations repeatedly at same time. The five categories of ethical violation in research are as follows: (1) Arbitrary changes or additions in author(s) happen frequently in thesis/dissertation related publications. (2) Self plagiarism, submitting same work or mixture of previous works with or without using proper citations, also occurs frequently, but the most common type of plagiarism is changing the statistical results and using them to present as the results of the empirical analysis; (3) Translation plagiarism, another ethical violation in publication, is difficult to detect but occurs frequently; (4) Fabrication of data or statistical analysis also occurs frequently. KODISA requires authors to submit the results of the empirical analysis of the paper (the output of the statistical program) to prevent this type of ethical violation; (5) Mashup or aggregator plagiarism, submitting a mix of several different works with or without proper citations without alterations, is very difficult to detect, and KODISA journals consider this type of plagiarism as the worst ethical violation. Conclusions - There are some individual cases of ethical violation in research and publication that could not be included in the five categories presented throughout the paper. KODISA and its editorial office should continue to develop, revise, and strengthen their publication ethics, to learn and share different ways to detect any ethical violations in research and publication, to train and educate its editorial members and researchers, and to analyze and share different cases of ethical violations with the scholarly community.

Innovative value chain creation research according to AI jobs

  • SEO, Dae-Sung;SEO, Byeong-Min
    • The Journal of Industrial Distribution & Business
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    • v.11 no.10
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    • pp.7-16
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    • 2020
  • Purpose: It suggests that making a policy and strategies in a way of AI and its impact of commercialization on economic efficiency, social custom ethics. Research design, data, and methodology: The paper has analyzed the data based on the proposed model when derived as AI vs. FI job, etc. It is very different for each professional evaluation, which is artificial intelligence or robot job. One concept case was selected as a substitute job, with a relatively low level of occupation ability, such as direct labors, easily replaced. By the induction data has resulted in modeling. Results: The paper suggests that AI at high level become something how to make real decisions on ethical value modeling. Through physical simulation with the deduction data, it can be tuned to design and control what has not been solved, from human senses to climate. Conclusion: For the exploiting of new AI decision-making jobs in markets, the deduction data is possible to prove to AI's Decision-making that the percentage who can easily have different leadership as is different for each person. what is generated by some information silos may be applied to occupation societies. The empirical results indicate the deduction data that if AI determines ethical decisions (VC) for that modifications, it may replace future jobs.

Analysis of Consumer Preference of Nonghyup by Ordered Logit Model in the Chungnam Province (순서화 로짓모형을 이용한 농협의 선호도 분석: 충남지역 주민을 대상으로)

  • Woo, Jae-Young
    • Journal of Agricultural Extension & Community Development
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    • v.16 no.2
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    • pp.405-438
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    • 2009
  • This study aims to analyse the consumer and regional dwellers preferences of nonghyup influenced by contributions of socio-economical using ordered logit model. The survey data were obtained from 225 adults in Chungnam province, cross sectional data in 2007. This paper especially estimates the impact of socio-economic characteristics, such as sex, occupation, school career, and emotional and subjective recognition of contributions of regional socio-economical and culture development, social welfare, It also examines the impact of recognition of cooperational level with local government's policy, customer satisfaction ratings, degree of business ethics. The main results are as follows; the consumer and regional dwellers preferences of nonghyup is not affected by sex, occupation, school career. But the consumer and regional dwellers preferences of nonghyup is influenced by emotional and subjective recognition of contributions of regional socio-economical and culture development, social welfare, It also influenced by emotional and subjective recognition of policy cooperation level with local government, customer satisfaction ratings, degree of business ethics.

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Factors Influencing on the Attitude toward withdrawal of life-sustaining treatment of Nursing College Students (간호대학생의 연명치료 중단에 대한 태도에 영향을 미치는 요인)

  • Kim, Kyoung-Nam;Kang, Eun-Hee;Kim, Mi-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.429-437
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    • 2019
  • This study was a descriptive study to investigate the factors influencing on attitude toward withdrawal of life-sustaining treatment of nursing students' consciousness of biomedical ethics, good death recognition and meaning of life. The subjects of this study were 293 nursing students attending college at P city. Data were collected for two weeks from May 1, 2018 to May 11, 2018. The statistical method was performed with SPSS WIN 22.0 using a complex sampling analysis, pearson's correlation coefficients, and a multiple regression analysis. The result of this study was significant positive correlation between attitude toward withdrawal of life-sustaining treatment and consciousness of biomedical ethics(r=.266, p<.001), good death recognition(r=.373, p<.001), meaning of life(r=.122, p=.037). The meaning of life was significant positive correlation consciousness of biomedical ethics(r=.294, p<.001), good death recognition(r=.230, p<.001). The good death recognition was significant positive correlation consciousness of biomedical ethics(r=.306, p<.001). Factors Influencing on the attitude toward withdrawal of life-sustaining treatment was good death recognition(${\beta}=.32$, p<.001) and consciousness of biomedical ethics(${\beta}=.16$, p=.004). These factors explained about 16% of the variance. Therefore it is necessary to develop an educational program to positively raise the attitude of consciousness of biomedical ethics and good death recognition.

A Study on the Ethical Issues and Sharing Behavior of User's Information in the Era of Big Data

  • Lee, Myung-Suk
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.10
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    • pp.43-48
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    • 2016
  • This study is to examine how big data collects user's information and is used; the status quo of exposures of user's information, and various measures of self-control by the user. This study is also to look their ethical issues and discuss problems of privacy concerning big data. As a way for users to self-control their information, they need to check the log-in state of web portal sites and set up their account so that customized advertisement and location information cannot be tracked. When posting a blog, the value of posting should be controlled. When becoming a member of a web site, users must check the access terms before agreement and beware of chained agreements and/or membership joins in order to control the exposure of their personal information. To prevent information abuse through big data through which user's information is collected and analyzed, all users must have the right to control, block or allow personal information. For an individual to have the right to control over his information, users must understand the concept of user's information and practice ethics accompanied by newly given roles in the Internet space, which will lead to the establishment of the sound and mature information society on the Internet.

The Recognition of Expertise According to the Infant Class's Teacher Sensitivity and Efficacy of Teaching Play (영아반 교사의 민감성과 놀이교수효능감에 따른 전문성 인식)

  • Jung, Hyejin;Park, Jaeok
    • Journal of Families and Better Life
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    • v.32 no.5
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    • pp.193-205
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    • 2014
  • The purpose of this research is to gather basic data to make nursery teachers' role clear and to suggest a way to improve their expertise by investigating their sensitivity and expertise. To fulfill this aim, this research was performed by targeting 180 nursery teachers responsible for infant classes in national, public, and private nursery schools. To measure the nursery teachers' sensitivity, Gerber's (2003) teacher sensitivity indicator is used. And to measure the efficacy of teaching play, the indicator, which was developed by E. Shin, Y. Yu and H. Park (2004), was used through modification and complement. Also for measuring the teacher's expertise, research data were collected by the generalized and modified questionnaire which was used in H. Yoon's (2010) research. The results of the analysis of collected data show that the teacher group with higher sensitivity in the infant class shows meaningfully higher professional ethics, higher performance, and higher recognition of expertise than the teacher group with lower sensitivity. And the teacher group with higher awareness of the efficacy of play shows higher professional ethics, higher performance, and higher recognition of expertise than the teacher group with lower sensitivity. too. Also, the results of the analysis of the correlation between the infant teacher's sensitivity, efficacy of teaching play, and recognition of expertise show that the teacher's sensitivity has a static correlation with the total points of social necessity, professional ethics, fairness, teacher's performance, and recognition of expertise. When we generalize the research results, we find that positive sensitivity and higher efficacy of teaching play make the infant class teacher's expertise recognition higher.

The Ethics of AI in Online Marketing: Examining the Impacts on Consumer privacyand Decision-making

  • Preeti Bharti;Byungjoo Park
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.227-239
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    • 2023
  • Online marketing is a rapidly growing industry that heavily depends on digital technologies and data analysis to effectively reach and engage consumers. For that, artificial intelligence (AI) has emerged as a crucial tool for online marketers, enabling marketers to analyze extensive consumer data and automate decision-making processes. The purpose of this study was to investigate the ethical implications of using AI in online marketing, focusing on its impact on consumer privacy and decision-making. AI has created new possibilities for personalized marketing but raises concerns about the collection and use of consumer data, transparency and accountability of decision-making, and the impact on consumer autonomy and privacy. In this study, we reviewed the relevant literature and case studies to assess the potential risks and make recommendations for improving consumer protection. The findings provide insights into ethical considerations and offer a roadmap for balancing the advantages of AI in online marketing with the protection of consumer rights. Companies should consider these ethical issues when implementing AI in their marketing strategies. In this study, we explored the concerns and provided insights into the challenges posed by AI in online marketing, such as the collection and use of consumer data, transparency, and accountability of decision-making, and the impact on consumer autonomy and privacy.

East Asian Journal of Business Economics and Strategy

  • KIM, Byoung-Goo;YOUN, Myoung-Kil
    • Journal of Research and Publication Ethics
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    • v.1 no.1
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    • pp.11-15
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    • 2020
  • Purpose: This study is to review and analyze orientation and strategy of the East Asian Journal of Business Economics and all of the published articles of 2013 to 2020 and to investigate the previous publication system and process in order to enhance the general quality of EAJBE. Research design, data and methodology: This paper applied a case study method and analyzed the previous published articles and system including homepage of East Asian Journal of Business Economics. Results: This journal strives to be the most globalized than other domestic journals in the field of management/economy, and since its inception in 2013, all the papers is written in English, and more than 40% of the contributors are overseas contributors, so it is developed by global strategies in a different direction from other domestic journals. Conclusions: The EAJBE provides the full text of the contributors' research ethics regulations to the online system, and mandates researchers to submit a pledge from the stage of the contribution. The journal provides clear criteria such as self-plagiarism and duplicates publication, and specifies the copyright agreement and submission application twice, and guides the contributors and the reviewers to use the system in advance.