TY - JOUR
T1 - Towards design theory for community collaboration support system during crises
T2 - from conceptualisation to validation
AU - Nejinski, Alexander
AU - Andreev, Pavel
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - This research conceptualises and validates a design theory for developing Community Collaboration Support Systems (CCSS) to enhance supply chain (SC) resilience during crises. We constructed a knowledge base to derive kernel theories, following the Design Science Research (DSR) methodology. Utilising exploratory and confirmatory focus groups as the primary data collection methods, we refined and validated the proposed CCSS design theory, ensuring its robustness, applicability, and validity. This study not only contributes to the field of information collaborative systems through the theoretical conceptualisation of CCSS theory but also provides practical insights for researchers and practitioners, fostering advancements in crisis management and community collaboration support systems.
AB - This research conceptualises and validates a design theory for developing Community Collaboration Support Systems (CCSS) to enhance supply chain (SC) resilience during crises. We constructed a knowledge base to derive kernel theories, following the Design Science Research (DSR) methodology. Utilising exploratory and confirmatory focus groups as the primary data collection methods, we refined and validated the proposed CCSS design theory, ensuring its robustness, applicability, and validity. This study not only contributes to the field of information collaborative systems through the theoretical conceptualisation of CCSS theory but also provides practical insights for researchers and practitioners, fostering advancements in crisis management and community collaboration support systems.
KW - Community collaboration support systems
KW - crisis management IS
KW - design science research
KW - supply chain resilience
UR - http://www.scopus.com/inward/record.url?scp=85192236698&partnerID=8YFLogxK
U2 - 10.1080/12460125.2024.2345952
DO - 10.1080/12460125.2024.2345952
M3 - Article
AN - SCOPUS:85192236698
SN - 1246-0125
JO - Journal of Decision Systems
JF - Journal of Decision Systems
ER -