A Study on the Application of Grey Correlation Analysis in Reconstructing the Relationship Between Journalism and Organisational Culture Under the Public Management Model
Yuting Zhang,
Chengfei Zhang and
Zhongyuan Jia
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Yuting Zhang: Party Affairs Department, Shijiazhuang University of Applied Technology Shijiazhuang 050081, P. R. China
Chengfei Zhang: Party Affairs Department, Shijiazhuang University of Applied Technology Shijiazhuang 050081, P. R. China
Zhongyuan Jia: Party Affairs Department, Shijiazhuang University of Applied Technology Shijiazhuang 050081, P. R. China
Journal of Information & Knowledge Management (JIKM), 2023, vol. 22, issue 05, 1-17
Abstract:
With the increasing globalisation of the economy, the global economy has been in recession in recent years. Traditionally, corporate competition stems from assets, material, and entrepreneurial spirit. However, with the times’ development, enterprises’ competitiveness has gradually transformed into cultural competitiveness. Organisational cultural competitiveness combines culture with tangible assets to create a human identity unique to the organisation, thus further enhancing its competitiveness. In order to improve competitiveness, this study reconstructs the organisation’s culture by integrating press and publicity into it, uses grey relation analysis (GRA) to analyse it, and establishes a GRA evaluation model to evaluate competitiveness indicators. The experimental results show that among the three indicators of physical, institutional and spiritual culture competitiveness, the curves of institutional culture competitiveness and organisational competitiveness are the most similar, with a correlation degree of 0.9, indicating that the improvement of institutional culture competitiveness has a greatest impact on the improvement of organisational culture competitiveness. This study proposes an efficient method to improve organisational competitiveness.
Keywords: Shades of grey; grey correlations; competitiveness; press campaigns; organisational culture (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0219649223500235
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