• Title/Summary/Keyword: 구직 네트워크 가치

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Nepotism or Networking?: The Effectiveness of Social Networks in the Labor Market ('연줄'인가, '연결'인가?: 인적 네트워크의 노동시장 효과 분석)

  • KIM, Young Chul
    • KDI Journal of Economic Policy
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    • v.34 no.3
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    • pp.133-186
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    • 2012
  • This paper analyzes the effectiveness of social networks in finding jobs and estimates the value of job search network using the Korean Laber and Income Panel Study (KLIPS) dataset and utilizing the Difference-in-Difference Propensity Score Matching (PSM) methodology (Heckman et al., 1997). While the wide use of social networks in the Korean labor market is often perceived as 'nepotism,' this study confirms that social networks, by serving as an effective information transmitter between job search and recruitment, make a significant contribution to improving the adequacy of job matching in the domestic labor market. In order to verify the effectiveness of using social networks for getting jobs, this study looks into the cases of labor turnover using social networks and also not using it. In the aspect of individual satisfaction improvement relating to workplace and job duties, both cases of turnover turn out to experience an increased satisfaction by 2~3 points (on a 100-score scale). Meanwhile, as for the educational and technical adequacy improvement, no positive effects are found in the case of turnover without social networks, whereas the educational and technical adequacy improvement turns out to increase by 2.13 and 2.52 points, respectively, in the case of turnover using social networks. The effect of income increase through turnover using social networks registered 40,074 Korean won per month (as of 2010), which can be considered as the result from the improved educational and technical adequacy. Of all things being considered, the value of job search network per wage worker in the Korean society is estimated to be 18.72 million won in terms of life-cycle wage improvement, and 758.2 scores in terms of the improvement of working life satisfaction. Provided that the cash value of satisfaction score 1 is equivalent to 'n' times 10,000 won, the aggregate value of job search network is estimated to be 18.72+7.582n million won, which means the total amount of costs that a wage worker in the Korean society willingly pays to maintain and manage job networks for lifetime.

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Design and Analysis of Ubiquitous Social Network Management Service Model: u-Recruiting Service Model (유비쿼터스 사회연결망관리 서비스 모델 설계 및 분석: u-구인 구직 서비스 모델을 중심으로)

  • Oh, Jae-Suhp;Lee, Kyoung-Jun;Kim, Jae-Kyeong
    • Information Systems Review
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    • v.13 no.1
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    • pp.33-59
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    • 2011
  • Although online social network services widely used in human networking and recruiting industries, it is showing off its limitations in followings-it's hard to reach the status of seamless connection between offline and online; the incompletion and low credibility of the information came from non-face-to-face profile exchange; and the restraint of user autonomy due to centralized control. This paper defines the ubiquitous social network management which enables the seamless real-time face-to-face social interactions of the users based on WPAN (Wireless Personal Area Network) who share the same interest in real word and deduces a ubiquitous social network management framework based on it. As an instance of ubiquitous social network management, u-Recruiting service model will be designed and analyzed. The Analysis using the business model will be followed by the possible scenario of service model. The role, value proposition and potential benefits of the each participants in this service model and will be given as well. In order to evaluate relative advantages of the model suggested by this study, 6 cases will be compared.

Textmining-Based Analysis for Duty and Knowledge structure of Vocational Counseling Service Industry (텍스트마이닝 기법을 통한 직업상담서비스산업의 직무 및 지식구조 분석)

  • Yook, Dong-In
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.9
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    • pp.366-376
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    • 2017
  • This study attempts to analyze the structure of the knowledge and duties of the vocational counseling service industry by using the text mining method and network analysis, which are methods of big data analysis. The subjects of the survey were vocational counseling, job placement and career change support, three fields in the unit elements of competence included in the National Competency Standards (NCS) which areproposed by the government. Although the analysis results of frequently used words showed that all three fields had independent duties, many were overlapping, such as counseling, examination, employment support, etc. for clients, job seekers, and others. The knowledge required by the employees of this field includes many new fields, such as start-up development, lifelong career consulting, job adaptation and culture conflict, besides the five subjects of vocational psychology, vocational counseling, labor market, job information, and law, which are included in the vocational counselor certification examination. Also, we suggested that the consultants adhere to emotional approaches, such as empathy, acceptance and attentiveness, and take a neutral stance. This study isvaluable in that it is the first attempt to objectively analyze the duties of the vocational counseling service field by big data analysis. In addition, it is also meaningful that we first confirmed the difference between the direction of government policy and the actual practice in the field.