Southampton, 3 - 4 July, 2017
Dr Samuel Fosso Wamba, PhD,
is a Full Professor at the Toulouse Business School, France. He
earned an MSc in Mathematics from the University of Sherbrooke in
Canada, an MSc in e-commerce from HEC Montreal, Canada, and a PhD in
industrial engineering for his work on RFID-enabled supply chain
transformation from the Polytechnic School of Montreal, Canada.
Prior, he was Associate Professor at The NEOMA Business School and
Senior Lecturer at Wollongong University. His current research
focuses on business value of IT, business analytics, big data,
inter-organizational system (e.g. RFID technology) adoption and use,
e-government, IT-enabled social inclusion, IT and talent management,
supply chain management, electronic commerce and mobile commerce. He
has published papers in a number of the proceedings of international
conferences (IEEE, AMCIS, HICSS, ICIS, and PACIS) and in renowned
international journals, including the European Journal of
Information Systems, Production Planning and Control, the
International Journal of Production Economics, Information Systems
Frontiers, the International Journal of Production Research, the
Business Process Management Journal, etc. He has been organizing
special issues on IT-related topics for IS and OM journals
including: Business Process Management Journal, Pacific Asia Journal
of the Association for Information Systems, Journal of Medical
Systems, Journal of Organizational and End User Computing, The
International Journal of Logistics Management, Production Planning
& Control, International Journal of Production Research, Annals
of Operations Research and International Journal of Operations &
Production Management. He is CompTIA-RFID+ certified and can be
contacted at s.fosso-wamba@tbs-education.fr.
More information at: http://fossowambasamuel.com/
TITLE OF TALK: Assessing Big Data Analytics-enabled Dynamic
Capabilities impact on Supply Chain agility and Competitive
Advantage
ABSTRACT: In this talk, a model of big data
analytics (BDA)-enabled dynamic capabilities impact on supply chain
agility and competitive advantage is developed. To test the proposed
research model, we administered a survey to 281 supply chain middle
managers with at least three years’ experience in BDA project in the
USA. XLSTAT was used for data analysis. To detect the homogeneity of
users’ behavior, a response-based procedure for partial least
squares embedded into XLSTAT package is used. Main results,
implications for research and practice are discussed.