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JDR Vol.19 No.3 pp. 570-579
(2024)
doi: 10.20965/jdr.2024.p0570

Paper:

Factors Contributing to the Enhancement of Feasibility in Public–Private Partnership During Disasters

Tetsuya Torayashiki*,† ORCID Icon and Kenji Watanabe**

*Center for Data Science, Waseda University
1-6-1 Nishiwaseda, Shinjuku-ku, Tokyo 169-8050, Japan

Corresponding author

**Nagoya Institute of Technology
Nagoya, Japan

Received:
October 16, 2023
Accepted:
April 11, 2024
Published:
June 1, 2024
Keywords:
public–private partnership, collaboration, agreement, disaster, path analysis
Abstract

This study aims to quantitatively identify the factors associated with companies that actively enhance the feasibility of public–private partnerships (PPP) during disasters. Based on these identified relationships, the study seeks to propose strategies to improve PPP effectiveness in proactive companies. A questionnaire survey was conducted targeting companies in Japan that have concluded disaster assistance agreements with local governments. Based on the response data, scales were constructed for the following variables: “feasibility of public–private agreements (FPPA),” “experience in implementing public–private agreements (EPPA),” “social contribution to disaster-stricken area,” “implementation level of disaster risk reduction measures,” “feasibility of business continuity,” “organizational culture toward risk and crisis (OCRC),” and “employee autonomy (EA).” Path analysis was conducted to investigate the relationships between FPPA and other variables. The results revealed that FPPA is associated with EPPA, EA, and OCRC. In terms of strategies to improve FPPA, it was suggested to promote the internal sharing of information about EPPA from other companies. Additionally, for EA and OCRC, implementing human resource policies and management practices was discussed as potential measures.

Cite this article as:
T. Torayashiki and K. Watanabe, “Factors Contributing to the Enhancement of Feasibility in Public–Private Partnership During Disasters,” J. Disaster Res., Vol.19 No.3, pp. 570-579, 2024.
Data files:
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Last updated on Oct. 01, 2024