The Crisis Management of Enterprise's Collective Brain Drain
- Chunli Yuan
- Chunying Zhang
Abstract
This paper take enterprise's collective brain drain as the research object, by using of questionnaire method, historical data, experts consultation method, and other methods of construct the collective brain drain of forewarning indicators, and then use the alternative ranking method to determine and evaluate comprehensively system of indicators to the weight. By constructing the forewarning system to real-time monitor, identify, diagnose and evaluate the trend of enterprise's collective brain drain and on this basis to pre-control, the prior development of corrective measures, the crisis will be resolved in the embryonic stage. Therefore, constructing the forewarning system of enterprise's collective brain drain for the long-term stable development of enterprises has important practical significance.
- Full Text: PDF
- DOI:10.5539/ibr.v1n4p104
Journal Metrics
h-index (January 2024): 102
i10-index (January 2024): 947
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- COPAC
- CrossRef
- EBSCOhost
- EconBiz
- ECONIS
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- IBZ Online
- IDEAS
- Infotrieve
- Kobson
- LOCKSS
- Mendeley
- MIAR
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ResearchGate
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Kevin DuranEditorial Assistant
- ibr@ccsenet.org