2007Sci-Tech Information Development & EconomyRequires access

Let the Communication Honest and Clean Government Culture Root in the Enterprise

MA Xin-y

Open publisher page 0 citations

Abstract

Connecting with the principle of the honest and clean government of the Party and the state and the practical situation of enterprises,and in the light of the characteristics of the supervision industry,this paper points out the necessity and importance of the construction of the honest and clean government culture.

About this research paper

What this paper is about

Connecting with the principle of the honest and clean government of the Party and the state and the practical situation of enterprises,and in the light of the characteristics of the supervision industry,this paper points out the necessity and importance of the construction of the honest and clean government culture.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Connecting with the principle of the honest and clean government of the Party and the state and the practical situation of enterprises,and in the light of the characteristics of the supervision industry,this paper points out the necessity and importance of the construction of the honest and clean government culture.

Key concepts: Government (linguistics), Root (linguistics), Business, State (computer science), State government, Public relations, Public administration, Political science

Related papers

Back to paper searchBrowse research topicsOriginal source
Let the Communication Honest and Clean Government Culture Root in the Enterprise — Research Paper | ScholarLens