• Title/Summary/Keyword: Distribute justice

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The Effectiveness Organizaitonal Commitment, Job Satisfaction by Clinical Nurse's Compensation Justice (임상간호사의 보상공정성 지각의 조직몰입 및 직무만족에 미치는 영향)

  • Woo, Jin-Hee;Koh, Myung-Suk
    • Journal of Korean Academy of Nursing Administration
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    • v.9 no.4
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    • pp.585-597
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    • 2003
  • Purpose: The purpose of this research is to find out how clinical nurse's recognition is effected to nursing organization through compensation justice, and then will support important basic data to management of nursing organization. Methods: Data collection was held through April 1st to 30th in 2003, The Subjects were 375 who were working at 5 hospitals in Seoul and has experiences at least over one year. Result: The average score of nurses' organizational commitment was 3.95 on a 7 point scale, and job satisfaction was 2.80 on a 5 point scale, and distribute justice was 2 on a 5 point scale, and procedural justice was 2.32 on a 5 point scale. We realize the distribute justice of compensation justice showed outstanding difference by age, education back-ground, experience, status of job, religious and types of hospital foundation, comparing the procedural justice only showed the difference by marriage status and type of hospital foundation, Through the study of how compensation-justice effect to organizational commitment, distribute justice never effect instead of procedural justice made effect 30.4% overall transition, as well as procedural justice explain 31.5% of job satisfaction. Conclusion: Finally we have data on the clinical nurse's recognition of compensation justice distribute justice and procedural justice are generally low, job satisfaction and organizational commitment are average. Job satisfaction and organizational commitment are depend upon age and educational level seriously.

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The Conceptualization of Caring Justice and an Evaluation of Long-Term Care Policy in Korea (돌봄정의(Caring Justice) 개념구성과 한국 장기요양정책의 평가)

  • Seok, Jae-Eun
    • 한국사회정책
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    • v.25 no.2
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    • pp.57-91
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    • 2018
  • Despite the rapid growth of social care, understanding of care is segmental and caring is still marginalizing. The socialization of caring is actually a 'half-socialization' that is the result of injustice surrounding caring. Therefore, it is necessary to approach the problem of caring in terms of justice. In this paper, I discuss the limitations of social justice based on John Rawls 's social contract theory in the discussion of caring justice through feminists'writings on caring ethics. And then applying Nancy Fraser' s three scales of Justice-redistribution, recognition, and representation, the concept of caring justice has been newly constructed. The concept of caring is defined as a unified concept of caring including the aspect of the social rights of the care recipient as well as the labor rights of the care provider. Based on the analysis of care justice, we derive the ideal types of care policy and then evaluate the long-term care policy for the elderly, which is the central axis of Korean care policy. The results of this study are as follows: First, it is necessary to strengthen the labor rights of care providers especially for the socialization of care responsibilities and the proper allocation of social resources. Second, a service delivery system and care culture are needed to ensure the relational autonomy of care-receivers and care-givers for caring ethics and individualization of care. Third, the issue of care should be treated as the central agenda of politics in order to distribute care responsibility democratically and to distribute legitimate resources. This requires a paradigm shift from marginalization of care to mainstreaming of care. Ultimately, we should aim for a Caring Society.

A Study on the Information Security Related Organizational Citizenship Behavior: From Prospect Theory and Goal Orientation Theory Perspective (정보보안 관련 조직시민행동에 대한 연구: 개인 전망, 조직 목표지향성 관점을 중심으로)

  • Hwang, In-ho;Hu, Sung-ho
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.89-97
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    • 2021
  • The purpose of this study is to verify the influence of the cognitive process related to the organizational citizenship behavior. The research method consisted of the cross-design of the prospect dimension and goal orientation dimension, and information security factors consisted of distributive justice, response efficacy, self efficacy, and organizational citizenship behavior. As a result of the study, the dimension of prospect had a significant effect on response efficacy and self efficacy, and it was found that the influence of the gain condition was greater than that of the loss condition. The goal orientation dimension had a significant effect on response efficacy and self efficacy, and it was found that the influence of the growth condition was greater than that of the validation condition. The research model that explained the relationship between information security factors appeared as a partial mediating model between distributive justice, response efficacy, and organizational citizenship behavior. The implications of this study suggest that it is necessary to establish an information security strategy in combination with individual decision-making factors and organizational culture factors.

Does Artificial Intelligence Algorithm Discriminate Certain Groups of Humans? (인공지능 알고리즘은 사람을 차별하는가?)

  • Oh, Yoehan;Hong, Sungook
    • Journal of Science and Technology Studies
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    • v.18 no.3
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    • pp.153-216
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    • 2018
  • The contemporary practices of Big-Data based automated decision making algorithms are widely deployed not just because we expect algorithmic decision making might distribute social resources in a more efficient way but also because we hope algorithms might make fairer decisions than the ones humans make with their prejudice, bias, and arbitrary judgment. However, there are increasingly more claims that algorithmic decision making does not do justice to those who are affected by the outcome. These unfair examples bring about new important questions such as how decision making was translated into processes and which factors should be considered to constitute to fair decision making. This paper attempts to delve into a bunch of research which addressed three areas of algorithmic application: criminal justice, law enforcement, and national security. By doing so, it will address some questions about whether artificial intelligence algorithm discriminates certain groups of humans and what are the criteria of a fair decision making process. Prior to the review, factors in each stage of data mining that could, either deliberately or unintentionally, lead to discriminatory results will be discussed. This paper will conclude with implications of this theoretical and practical analysis for the contemporary Korean society.