← Search

Disaster Management from a POM Perspective: Mapping a New Domain

Sushil Gupta¹; Martin K. Starr²; Reza Zanjirani Farahani³; Niki Matinrad⁴

¹ College of Business Administration, Florida International University, RB 250, 11200 S.W. 8th St, Miami, Florida, 33199, USA · ² Crummer GSB, Rollins College, GSB, Columbia University, 100 S. Interlachen Avenue #304, Winter Park, Florida, 32789, USA · ³ Kingston Business School, Kingston University London, Kingston Hill, Kingston Upon Thames, Surrey, KT2 7LB, UK · ⁴ Faculty of Industrial Engineering, K. N. Toosi University of Technology, No. 17, Pardis Street, Mollasadra Avenue, Vanak Square, Tehran, Iran

We have reviewed disaster management research papers published in major operations management, management science, operations research, supply chain management and transportation/logistics journals. In reviewing these studies, our objective is to assess and present the macro level “architectural blue print” of disaster management research with the hope that it will attract new researchers and motivate established researchers to contribute to this important field. The secondary objective is to bring this disaster research to the attention of disaster administrators so that disasters are managed more efficiently and more effectively. We have mapped the disaster management research on the following five attributes of a disaster: (1) Disaster Management Function (decision‐making process, prevention and mitigation, evacuation, humanitarian logistics, casualty management, and recovery and restoration), (2) Time of Disaster (before, during and after), (3) Type of Disaster (accidents, earthquakes, floods, hurricanes, landslides, terrorism and wildfires etc.), (4) Data Type (Field and Archival data, Real data and Hypothetical data), and (5) Data Analysis Technique (bidding models, decision analysis, expert systems, fuzzy system analysis, game theory, heuristics, mathematical programming, network flow models, queueing theory, simulation and statistical analysis). We have done cross tabulations of data among these five parameters to gain greater insights into disaster research. Recommendations for future research are provided.

DOI

10.1111/poms.12591

Volume

25 (10)

Pages

1611-1637

Language

en

Export

BibTeX

Sources

crossref