Log in to save to my catalogue

Research on Job Burnout Evaluation and Turnover Tendency Prediction of Knowledge Workers Based on BP...

Research on Job Burnout Evaluation and Turnover Tendency Prediction of Knowledge Workers Based on BP...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2664617835

Research on Job Burnout Evaluation and Turnover Tendency Prediction of Knowledge Workers Based on BP Neural Network

About this item

Full title

Research on Job Burnout Evaluation and Turnover Tendency Prediction of Knowledge Workers Based on BP Neural Network

Publisher

London: Hindawi

Journal title

Security and communication networks, 2022-05, Vol.2022, p.1-6

Language

English

Formats

Publication information

Publisher

London: Hindawi

More information

Scope and Contents

Contents

The traditional dimission prediction method for knowledge workers does not take into account the impact of job burnout on employees’ dimission tendency, resulting in low accuracy of dimission prediction. In view of the above problems, this paper introduces the employee burnout evaluation and researches the knowledge employee burnout evaluation and...

Alternative Titles

Full title

Research on Job Burnout Evaluation and Turnover Tendency Prediction of Knowledge Workers Based on BP Neural Network

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2664617835

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2664617835

Other Identifiers

ISSN

1939-0114

E-ISSN

1939-0122

DOI

10.1155/2022/6370886

How to access this item