Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management


ICIEOM2020_ABST_0013_37454

SUPPLY CHAIN RESILIENCE PLANNING & THE THEORY OF PLANNED BEHAVIOR: A THEORETICAL FRAMEWORK


ÁREA: 13. Disaster Management

RESUMO:
In much of the resilience planning discourse, especially related to supply chains, the difference between intended and actualized behaviors towards mitigation and adaptation is not recognized nor studied?on both the individual firm and sectoral levels. The nature of natural disasters is such that there is typically not a pre-event snapshot of a given agent?s behavioral intentions around mitigation and adaptation that in turn inform their resilience capacity towards a given disaster event that is comparable to data on interruption and recovery post-event. The Theory of Planned Behavior (TPB) (Ajzen, 1991) offers additional considerations that mediate across intended versus actualized behaviors. The TPB can be directly applied in the domain of business resilience planning ? where a category of mitigation and adaptation behaviors are considered. A theoretical model for application of the TPB to resilience planning over multiple time period is introduced that discusses the importance of attitude, subjective norms, and perceived behavioral control in the prediction of intention for resilience planning, and the relative importance of intention and perceived behavioral control in the prediction of behavior. The importance of this paper is that it is contextualized within a supply chain framework, which accounts for the need to plan ahead as well as recognition of recovery trajectories after the occurrence of a disaster.

PALAVRAS-CHAVE:
disaster preparedness, learning, recovery, resilience planning, supply chain resilience



DOI: 10.14488/ijcieom2020_abst_0013_37454
AUTORES:

JENNIFER F. HELGESON
NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY

ALFREDO ROA HENRIQUEZ
NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY/JOHNS HOPKINS UNIVERSITY






ISSN ENEGEP: 23183349 / ISSN ICIEOM: 23178000


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