A Framework for risk analysis of knowledge loss caused by knowledge workers Departure
One of the most important channels for losing knowledge in organizations is knowledge workers turnover. Knowledge workers are those whose information and knowledge are their work foundation. Knowledge workers turnover can lead to the loss of knowledge and hence losing competitive advantage. Due to e...
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2017-02-01
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| Series: | مطالعات مدیریت بهبود و تحول |
| Subjects: | |
| Online Access: | https://jmsd.atu.ac.ir/article_7146_96e856e39ede51f58a3f22578b4455f6.pdf |
| _version_ | 1797386428848537600 |
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| author | jahanyar bamdad soofi mohammad taghi taghavifard omid arjmand ghahestani |
| author_facet | jahanyar bamdad soofi mohammad taghi taghavifard omid arjmand ghahestani |
| author_sort | jahanyar bamdad soofi |
| collection | DOAJ |
| description | One of the most important channels for losing knowledge in organizations is knowledge workers turnover. Knowledge workers are those whose information and knowledge are their work foundation. Knowledge workers turnover can lead to the loss of knowledge and hence losing competitive advantage. Due to extra importance of knowledge for knowledge-based organizations, the need for taking an approach for assessing knowledge loss risk causing by knowledge workers turnover through voluntary turnover and retirement is necessary. In addition, providing suggestions for preventing knowledge workers voluntary turnover can keep organizational knowledge for a long time. This paper presents a framework for knowledge loss risk analysis, after reviewing different knowledge loss risk assessment models. The proposed framework was confirmed after interviewing with 20 academic and business experts. The proposed framework has been examined within a public knowledge-based organization and on 28 knowledge workers. This research utilizes survey for gathering data and descriptive statistics and risk matrix for analyzing results |
| first_indexed | 2024-03-08T22:09:26Z |
| format | Article |
| id | doaj.art-6dbbd98373394868bcb5d632922a053e |
| institution | Directory Open Access Journal |
| issn | 2251-8037 2476-5988 |
| language | fas |
| last_indexed | 2024-03-08T22:09:26Z |
| publishDate | 2017-02-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات مدیریت بهبود و تحول |
| spelling | doaj.art-6dbbd98373394868bcb5d632922a053e2023-12-19T06:39:14ZfasAllameh Tabataba'i University Pressمطالعات مدیریت بهبود و تحول2251-80372476-59882017-02-012582295910.22054/jmsd.2017.71467146A Framework for risk analysis of knowledge loss caused by knowledge workers Departurejahanyar bamdad soofi0mohammad taghi taghavifard1omid arjmand ghahestani2استادیار گروه مدیریت صنعتی، دانشگاه علامه طباطبائیدانشیار گروه مدیریت صنعتی دانشگاه علامه طباطباییallameh tabatabai' universityOne of the most important channels for losing knowledge in organizations is knowledge workers turnover. Knowledge workers are those whose information and knowledge are their work foundation. Knowledge workers turnover can lead to the loss of knowledge and hence losing competitive advantage. Due to extra importance of knowledge for knowledge-based organizations, the need for taking an approach for assessing knowledge loss risk causing by knowledge workers turnover through voluntary turnover and retirement is necessary. In addition, providing suggestions for preventing knowledge workers voluntary turnover can keep organizational knowledge for a long time. This paper presents a framework for knowledge loss risk analysis, after reviewing different knowledge loss risk assessment models. The proposed framework was confirmed after interviewing with 20 academic and business experts. The proposed framework has been examined within a public knowledge-based organization and on 28 knowledge workers. This research utilizes survey for gathering data and descriptive statistics and risk matrix for analyzing resultshttps://jmsd.atu.ac.ir/article_7146_96e856e39ede51f58a3f22578b4455f6.pdfknowledge loss riskknowledge workersjob embeddednessunfolding model of voluntary turnover |
| spellingShingle | jahanyar bamdad soofi mohammad taghi taghavifard omid arjmand ghahestani A Framework for risk analysis of knowledge loss caused by knowledge workers Departure مطالعات مدیریت بهبود و تحول knowledge loss risk knowledge workers job embeddedness unfolding model of voluntary turnover |
| title | A Framework for risk analysis of knowledge loss caused by knowledge workers Departure |
| title_full | A Framework for risk analysis of knowledge loss caused by knowledge workers Departure |
| title_fullStr | A Framework for risk analysis of knowledge loss caused by knowledge workers Departure |
| title_full_unstemmed | A Framework for risk analysis of knowledge loss caused by knowledge workers Departure |
| title_short | A Framework for risk analysis of knowledge loss caused by knowledge workers Departure |
| title_sort | framework for risk analysis of knowledge loss caused by knowledge workers departure |
| topic | knowledge loss risk knowledge workers job embeddedness unfolding model of voluntary turnover |
| url | https://jmsd.atu.ac.ir/article_7146_96e856e39ede51f58a3f22578b4455f6.pdf |
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