Identification of Factors Affecting Stakeholders' Intentions to Promote Preparedness in Disaster Waste Management: A Structural Equation Modeling Approach

Preparedness in disaster waste management is a critical stage to achieve resilience. Stakeholders in developing countries find it very difficult to formulate preparedness plans because of complex issues and poor management. They perceive that introducing such a program would need special budgeting and efforts that differ from those used for day-to-day waste management, not realizing that the principal factor is their degree on intention. By using structural equation modeling, this study examines the factors that affect stakeholders` intentions. By exploring the waste management program in Banda Aceh following the Indian tsunami in 2004, we find that the factor of awareness of the difficulty running a 3R (reduce, reuse, and recycle) program was the most important factor to preparedness with a correlation coefficient of 0.89. Other factors that have a significant effect are awareness of cooperation with other organizations (correlation coefficient: 0.83) and concern about previous experience affecting stakeholders’ intentions (correlation coefficient: 0.78). Other factors identified are awareness of the insufficiency of performance and facilities (correlation coefficient: 0.67) and concern about disaster waste knowledge (correlation coefficient: 0.22). This study suggests promoting preparedness in disaster waste management could start from carrying out simple tasks such as regularly maintaining waste facilities before moving onto complicated issues such as cooperating with private companies and other governments both horizontally and –vertically

[1]  Kohei Watanabe,et al.  Strategy for separation and treatment of disaster waste: a manual for earthquake and tsunami disaster waste management in Japan , 2013 .

[2]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[3]  Hari Srinivas,et al.  Environmental implications for disaster preparedness: lessons learnt from the Indian Ocean Tsunami. , 2008, Journal of environmental management.

[4]  M. Osako,et al.  Theory and practice of pre-disaster planning for disaster waste management , 2014 .

[5]  Erica Seville,et al.  Disaster waste management: a review article. , 2011, Waste management.

[6]  Tamihiro Nakamichi,et al.  Disaster and Waste Management. Treatment Systems & Technologies for Disaster Waste. , 1995 .

[7]  L. Argote Knowledge Transfer in Organizations , 2013 .

[8]  Honglei Yi,et al.  Research trends of post disaster reconstruction: The past and the future , 2014 .

[9]  D. Paton,et al.  Disasters and communities: vulnerability, resilience and preparedness , 2001 .

[10]  Dilanthi Amaratunga,et al.  Post Disaster Waste Management Strategies In Developing Countries: Case Of Sri Lanka , 2009 .

[11]  W. A. Buehring,et al.  Resilience: Theory and Application. , 2012 .

[12]  L. Hayduk Structural equation modeling with LISREL , 1987 .

[13]  Richard Haigh,et al.  Approaches for capacity building for disaster waste management , 2012 .

[14]  Kiyoshi Omine,et al.  Solidwaste management in Bangkok at 2011 Thailand floods , 2013 .

[15]  J. Pearl The Causal Foundations of Structural Equation Modeling , 2012 .

[16]  M. Osako,et al.  Impact of Institutions on the Management of Disaster Wastes in the Great East Japan Earthquake , 2014 .

[17]  K. Meier,et al.  Representative Bureaucracy, Organizational Strategy, and Public Service Performance: An Empirical Analysis of English Local Government , 2005 .

[18]  Barbara M. Byrne,et al.  Structural equation modeling with AMOS , 2010 .

[19]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[20]  Takayuki Shimaoka Disaster and Waste Management. An Investigation on Solid Waste Generations by Natural Disasters and Disposal Measures. , 1995 .

[21]  Teun Terpstra,et al.  Emotions, Trust, and Perceived Risk: Affective and Cognitive Routes to Flood Preparedness Behavior , 2011, Risk analysis : an official publication of the Society for Risk Analysis.

[22]  Zhi-Hua Hu,et al.  Post-disaster debris reverse logistics management under psychological cost minimization , 2013 .

[23]  I. Ajzen Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[24]  Craig Langston,et al.  Building capability for disaster resilience , 2012 .

[25]  I. Ajzen The theory of planned behavior , 1991 .

[26]  Denis Stanley Chang Seng Tsunami resilience: Multi-level institutional arrangements, architectures and system of governance for disaster risk preparedness in Indonesia , 2013 .

[27]  E. K Lauritzen,et al.  Emergency construction waste management , 1998 .

[28]  Nezih Altay,et al.  OR/MS research in disaster operations management , 2006, Eur. J. Oper. Res..

[29]  Nagahisa Hirayama,et al.  Establishment of disaster debris management based on quantitative estimation using natural hazard maps , 2010 .

[30]  J. Levine,et al.  Knowledge Transfer in Organizations: Learning from the Experience of Others☆ , 2000 .

[31]  Terry R. Rakes,et al.  Incorporating recycling into post-disaster debris disposal , 2012 .