TY - GEN
T1 - The opportunities of big data analytics in supply market intelligence
AU - Paajanen, Salla
AU - Valkokari, Katri
AU - Aminoff, Anna
N1 - Funding Information:
The results of this paper suggest that decision-making support is one of the most critical benefits that can be achieved through collaborative big data intelligence. Three‐ fold collaboration is needed for reaching the full potential of BDA in SMI for acquiring knowledge and recognizing collaboration opportunities with suppliers. Collaboration between analysts and business people is supported by literature [28], but this research contributes to recognizing collaboration opportunities with external partners. Once an opportunity is recognized, SMI can be used to indicate the win-win situations to external partners. By utilizing big data technologies, multidimensional segmentations based on defined criteria enable, for instance, evaluating capacity requirements, user demo‐ graphics, and supplier suitability for a particular company.
Publisher Copyright:
© IFIP International Federation for Information Processing 2017.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Firms need comprehensive knowledge and understanding of
the opportunities available in the market by creating
supply market intelligence (SMI). SMI can facilitate in
finding the best partners and combination of capabilities
within collaborative networks (CN). However, despite of
its evident managerial relevance, SMI is still little
researched topic. Simultaneously, big data analytics
(BDA) has developed rapidly, becoming vital for
businesses across industries. The objective of this paper
is recognizing the importance of SMI and opportunities of
BDA through qualitative research. The data derives from
two focus group discussions of 75 purchasing
professionals and six qualitative interviews of BDA
experts. This research contributes to our understanding
of the opportunities of BDA in creating systematic SMI to
reinforce strategic collaboration, and to the
understanding of knowledge as a strategic resource for
forming strategic CN. Collaborative big data intelligence
creates value through, for instance, creating
transparency in business processes and discovering market
changes.
AB - Firms need comprehensive knowledge and understanding of
the opportunities available in the market by creating
supply market intelligence (SMI). SMI can facilitate in
finding the best partners and combination of capabilities
within collaborative networks (CN). However, despite of
its evident managerial relevance, SMI is still little
researched topic. Simultaneously, big data analytics
(BDA) has developed rapidly, becoming vital for
businesses across industries. The objective of this paper
is recognizing the importance of SMI and opportunities of
BDA through qualitative research. The data derives from
two focus group discussions of 75 purchasing
professionals and six qualitative interviews of BDA
experts. This research contributes to our understanding
of the opportunities of BDA in creating systematic SMI to
reinforce strategic collaboration, and to the
understanding of knowledge as a strategic resource for
forming strategic CN. Collaborative big data intelligence
creates value through, for instance, creating
transparency in business processes and discovering market
changes.
KW - supply market intelligence
KW - big data analytics
KW - strategic collaboration
KW - data-rich systems
KW - collaborative big data intelligence
UR - http://www.scopus.com/inward/record.url?scp=85029592640&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-65151-4_19
DO - 10.1007/978-3-319-65151-4_19
M3 - Conference article in proceedings
SN - 978-3-319-65150-7
SN - 978-3-319-65151-4
T3 - IFIP Advances in Information and Communication Technology
SP - 194
EP - 205
BT - IFIP Advances in Information and Communication Technology
A2 - Afsarmanesh, Hamideh
A2 - Camarinha-Matos, Luis M.
A2 - Fornasiero, Rosanna
PB - Springer
T2 - 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017
Y2 - 18 September 2017 through 20 September 2017
ER -