Artikel
An empirical study on project management of reconstruction after disaster based on interpretation system
Purpose: Recently natural disasters frequently occur all over the world. However, the stakeholder management of post-disaster reconstruction is often a neglected field because of its particularity. This study investigates a model of stakeholder management for managers in post-disaster reconstruction project. Design/methodology/approach: Based on the interpretation system model, this study makes a deep analysis of the stakeholder management of post-disaster reconstruction with the case of reconstruction project in Wenchuan. Findings: The results reveal that the managers should take divergent actions to collect data of stakeholders in different situations. The discovering mode is suitable in a simple stakeholder environment and the undirected viewing mode is suitable in a relatively complex environment. Practical implications: This paper establishes a scientific archived management report of the stakeholders in Wenchuan reconstruction project to provide the suggestions and the experiences for the future projects Originality/value: Past stakeholder management models are not suitable in reconstruction project because of its particularity. This study takes interpretation system as a new model for stakeholder management in reconstruction project, allowing managers to take the optimal actions in different stakeholder environment.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 8 ; Year: 2015 ; Issue: 5 ; Pages: 1409-1427 ; Barcelona: OmniaScience
- Classification
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Management
- Subject
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post-disaster reconstruction
project management
stakeholder management
interpretation system
- Event
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Geistige Schöpfung
- (who)
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Zhou, Jun
Wang, Hanzhao
- Event
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Veröffentlichung
- (who)
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OmniaScience
- (where)
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Barcelona
- (when)
-
2015
- DOI
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doi:10.3926/jiem.1468
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Zhou, Jun
- Wang, Hanzhao
- OmniaScience
Time of origin
- 2015
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