Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach

Big data analytics (BDA) technologies have emerged as a cornerstone for predicting, preparing, and preventing natural disasters, that directly save millions of human lives. The current study takes the initial step to analyze various antecedents of using BDA technologies that support real-time and of...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Umer Zaman, Hasan Zahid, Muzafar Shah Habibullah, Badariah Haji Din
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	disaster management big data analytics (bda) decompose theory of planned behavior (dtpb) Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/3b0b6783a40046819fe37aa870c52eb6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3b0b6783a40046819fe37aa870c52eb6
record_format	dspace
spelling	oai:doaj.org-article:3b0b6783a40046819fe37aa870c52eb62021-12-02T13:26:15ZAdoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach2331-197510.1080/23311975.2021.1880253https://doaj.org/article/3b0b6783a40046819fe37aa870c52eb62021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2021.1880253https://doaj.org/toc/2331-1975Big data analytics (BDA) technologies have emerged as a cornerstone for predicting, preparing, and preventing natural disasters, that directly save millions of human lives. The current study takes the initial step to analyze various antecedents of using BDA technologies that support real-time and offline decisions, before the occurrence of a disaster event. The model has been underpinned based on the Decomposed Theory of Planned Behavior (DTPB) and offers generic, pro-active, and timely solutions for disaster management. A self-administered survey collected data from 361 active members of the National Disaster Management Authority and Response Units in Pakistan. Partial least square structural equation modeling (PLS-SEM) empirically tested the conceptual model and hypothesized relationships. The study findings provide significant evidence on the positive influence of attitudes, subjective norms, and behavioral control of disaster management officials on their intention to adopt BDA technologies. Using DTPB, the current study makes a unique contribution to the literature and offers invaluable insights to researchers, practitioners, and stakeholders in addressing some novel and preemptive measures in disaster management.Umer ZamanHasan ZahidMuzafar Shah HabibullahBadariah Haji DinTaylor & Francis Grouparticledisaster managementbig data analytics (bda)decompose theory of planned behavior (dtpb)BusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 8, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	disaster management big data analytics (bda) decompose theory of planned behavior (dtpb) Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	disaster management big data analytics (bda) decompose theory of planned behavior (dtpb) Business HF5001-6182 Management. Industrial management HD28-70 Umer Zaman Hasan Zahid Muzafar Shah Habibullah Badariah Haji Din Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach
description	Big data analytics (BDA) technologies have emerged as a cornerstone for predicting, preparing, and preventing natural disasters, that directly save millions of human lives. The current study takes the initial step to analyze various antecedents of using BDA technologies that support real-time and offline decisions, before the occurrence of a disaster event. The model has been underpinned based on the Decomposed Theory of Planned Behavior (DTPB) and offers generic, pro-active, and timely solutions for disaster management. A self-administered survey collected data from 361 active members of the National Disaster Management Authority and Response Units in Pakistan. Partial least square structural equation modeling (PLS-SEM) empirically tested the conceptual model and hypothesized relationships. The study findings provide significant evidence on the positive influence of attitudes, subjective norms, and behavioral control of disaster management officials on their intention to adopt BDA technologies. Using DTPB, the current study makes a unique contribution to the literature and offers invaluable insights to researchers, practitioners, and stakeholders in addressing some novel and preemptive measures in disaster management.
format	article
author	Umer Zaman Hasan Zahid Muzafar Shah Habibullah Badariah Haji Din
author_facet	Umer Zaman Hasan Zahid Muzafar Shah Habibullah Badariah Haji Din
author_sort	Umer Zaman
title	Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach
title_short	Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach
title_full	Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach
title_fullStr	Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach
title_full_unstemmed	Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach
title_sort	adoption of big data analytics (bda) technologies in disaster management: a decomposed theory of planned behavior (dtpb) approach
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/3b0b6783a40046819fe37aa870c52eb6
work_keys_str_mv	AT umerzaman adoptionofbigdataanalyticsbdatechnologiesindisastermanagementadecomposedtheoryofplannedbehaviordtpbapproach AT hasanzahid adoptionofbigdataanalyticsbdatechnologiesindisastermanagementadecomposedtheoryofplannedbehaviordtpbapproach AT muzafarshahhabibullah adoptionofbigdataanalyticsbdatechnologiesindisastermanagementadecomposedtheoryofplannedbehaviordtpbapproach AT badariahhajidin adoptionofbigdataanalyticsbdatechnologiesindisastermanagementadecomposedtheoryofplannedbehaviordtpbapproach
_version_	1718393024507019264

Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach

Ejemplares similares