TY - JOUR
T1 - Coordination and collaboration for humanitarian operational excellence
T2 - big data and modern information processing systems
AU - Akhtar, Pervaiz
AU - Osburg, Victoria Sophie
AU - Kabra, Gaurav
AU - Ullah, Subhan
AU - Shabbir, Haseeb
AU - Kumari, Sushma
N1 - Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Humanitarian operational excellence depends on effective coordination and collaboration not only between supply chain partners but also among other actors such as host government, local and international non-government organisations (NGOs), and donors. Importantly, effective coordination and collaboration are facilitated by big data and modern information processing (BDMIP) systems that are complex and interlocked with contemporary information and communication technology (ICT). This study simplifies BDMIP systems by using a comprehensive methodology (literature review and a multi-criteria decision-making approach, called the analytic network process) and explores its key determinants and other interconnected factors. The data were collected from humanitarian managers, working in horizontally (e.g. governments, local and international humanitarian organisations) and vertically (e.g. supply chain partners) collaborated organisations. Three systems (manual, semi-automated, and fully automated) are investigated, which depend on various determinants for operational excellence interlinked with modern big data technology and its components. The results indicate that dynamic compatibility is the most important determinant for such systems to support operational excellence, followed by real-time response, cost, end-to-end visibility, and operational service quality. The implementation of fully automated systems is less cost-effective. This attributes to contemporary dimensions and enablers (e.g. the internet of things, big data collection and analytics, effective data and information sharing, modern unmanned aerial vehicles (called drones), skills for mining structured and unstructured data, among others). Semi-automated systems are also imperative for certain enablers (e.g. data accuracy, data reliability, and personalised data exchange). This study concludes by discussing these findings and their implications for practitioners; how they can combine these technical and operational foundations to execute humanitarian operational excellence and to build effective coordination and collaboration among involved parties. It further provides suggestions for future research.
AB - Humanitarian operational excellence depends on effective coordination and collaboration not only between supply chain partners but also among other actors such as host government, local and international non-government organisations (NGOs), and donors. Importantly, effective coordination and collaboration are facilitated by big data and modern information processing (BDMIP) systems that are complex and interlocked with contemporary information and communication technology (ICT). This study simplifies BDMIP systems by using a comprehensive methodology (literature review and a multi-criteria decision-making approach, called the analytic network process) and explores its key determinants and other interconnected factors. The data were collected from humanitarian managers, working in horizontally (e.g. governments, local and international humanitarian organisations) and vertically (e.g. supply chain partners) collaborated organisations. Three systems (manual, semi-automated, and fully automated) are investigated, which depend on various determinants for operational excellence interlinked with modern big data technology and its components. The results indicate that dynamic compatibility is the most important determinant for such systems to support operational excellence, followed by real-time response, cost, end-to-end visibility, and operational service quality. The implementation of fully automated systems is less cost-effective. This attributes to contemporary dimensions and enablers (e.g. the internet of things, big data collection and analytics, effective data and information sharing, modern unmanned aerial vehicles (called drones), skills for mining structured and unstructured data, among others). Semi-automated systems are also imperative for certain enablers (e.g. data accuracy, data reliability, and personalised data exchange). This study concludes by discussing these findings and their implications for practitioners; how they can combine these technical and operational foundations to execute humanitarian operational excellence and to build effective coordination and collaboration among involved parties. It further provides suggestions for future research.
KW - Analytic network process
KW - Big data and information processing systems
KW - Coordination and collaboration
KW - Humanitarian operational excellence
KW - ICT and big data applications in humanitarian operations
UR - http://www.scopus.com/inward/record.url?scp=85094143633&partnerID=8YFLogxK
U2 - 10.1080/09537287.2020.1834126
DO - 10.1080/09537287.2020.1834126
M3 - Article
AN - SCOPUS:85094143633
VL - 33
SP - 705
EP - 721
JO - Production Planning and Control
JF - Production Planning and Control
SN - 0953-7287
IS - 6-7
ER -