future enterprise digital business innovation paths event_8july2014, brussels_ii. koussouris
TRANSCRIPT
A glimpse at the FutureEnterprise RoadmapDr. Sotiris Koussouris National Technical University of AthensDecision Support Systems Laboratory - DSSLab
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Major Questions towards a more sustainable and innovation-rich future
• How should Enterprises/SMEs/Enterpreneurs change?
• Which Business Model Innovations (BMIs) are in a position to transform Enterprises/SMEs/Entrepreneurs (and how)?
• Which research directions are included in each BMI?
• What kind of DBI research is needed to accelerate this transformation?
Grand Challenges that include Research Challenges
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Following the lifecycle of transformation
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Measure
Experiment & SimulateImplement
GC#1: Collaborative, Real-time, Proactive
Business Analytics-as-a-Service
GC#2: Innovative, web-based business
models for new kinds of economies
GC#3: Federated, Innovation-driven
Enterprise Collaboration Platforms
GC#4: Dynamic discovery and negotiation of the intellectual property
rights’ flow
+8 RCs
+6 RCs
+6 RCs
+5 RCs
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GC#1: Collaborative, Real-time, Proactive Business Analytics-as-a-Service
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A radically different context for business analytics and the provision of them to the enterprise personnel, whether they are high-level executives or shop floor workers.Analysis of real-time enterprise data and its transformation into Business Intelligence to be offered to the interested stakeholders as services powered by novel ICT infrastructures and devices.
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GC#1: Collaborative, Real-time, Proactive Business Analytics-as-a-Service
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5Short term Mid term Long term
5 years 15 years10 years
Gran
d Ch
alle
nge
1: C
olla
bora
tive,
Rea
l-tim
e,
Proa
ctive
Bus
ines
s Ana
lytic
s-as
-a-S
ervi
ce
RC1.1 - Multi-source Data Analytics Services for Real-
Time Production Critical Decisions
RC1.2 - Predictive and Prescriptive Crowd-based
Analytics powering Business Innovations
RC1.5 - Generation and Exposure of SMEs
Analytics over federated cloud-based platforms
RC1.3 - Business Transformation
Platforms combining Human Knowledge with
Information Flows RC1.4 - Enterprise-wide smart, personalised intelligence and
delivery systems
RC1.8 - Proactive safety and security safeguarding recommendation and notification systems using real-time
data analysis
RC1.7- Responsive and Dynamic Visualisation and Augmented Reality
Services for Business Functions
RC1.6 - Smart and Collaborative APIs for cognisant business
processes
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GC#2: Innovative, web-based business models for new kinds of economies The definition, experimentation and constant evolution of novel business models that challenge traditional operating models, and capitalize on novel technologies and Future Internet assets in order to introduce unique innovation propositions at multiple levels, ranging from the innermost configuration and the core offerings of an enterprise, to the customer-facing, networking elements. Br
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GC#2: Innovative, web-based business models for new kinds of economies
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7Short term Mid term Long term
5 years 15 years10 years
Gran
d Ch
alle
nge
2: In
nova
tive,
web
-bas
ed
busin
ess m
odel
s for
new
kin
ds o
f eco
nom
iesRC2.2 - Collaborative
Prosumption Models
RC2.5 - Instant, crowd market validation of Business Innovations
RC2.3 – Collective Ideas Flow on ever-evolving and interactive Business Plan
Lifecycles
RC2.1 – Circular Supply Chain Management
RC2.6 - Innovation Diffusion & Adaptation Patterns and
Techniques
RC2.5 - Reverse engineering of innovation
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GC#3: Distributed, Innovation-driven Enterprise PlatformsA new context for business innovation and collaboration, where platforms promote relationships between enterprises and web entrepreneurs, boost productivity and enable business innovation in consistent lifecycles
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GC#3: Distributed, Innovation-driven Enterprise Platforms
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9Short term Mid term Long term
5 years 15 years10 years
Gran
d Ch
alle
nge
3: F
eder
ated
, Inn
ovati
on-
driv
en E
nter
pris
e Co
llabo
ratio
n Pl
atfor
ms
RC3.3 – Subscription mechanisms to Real-
time, Anonymised Business Analytics
RC3.4 - Training and Management Tools on Lean, Experimenting, Data-driven
Mentality
RC3.6 - Recommendation systems in B2B transactions
and partnerships deals
RC3.1 - New forms of Enterprise Marketplaces
RC3.5 -Big data analytics in inter-organization relationships and trust
in doing business
RC3.2 - Real-time, interoperability and Openness
in Enterprise Platforms
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GC#4: Dynamic discovery and negotiation of the intellectual property rights’ flowEffective management, monitoring, identification and creation of IPRs and knowledge generation and handling, through the use of innovative ICT tools and platforms that will exploit the collaborative features of existing platforms and the power of analytics. Br
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GC#4: Dynamic discovery and negotiation of the intellectual property rights’ flow
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sels,
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8th
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4
11Short term Mid term Long term
5 years 15 years10 years
Gran
d Ch
alle
nge
4: D
ynam
ic d
isco
very
and
ne
gotia
tion
of th
e in
telle
ctua
l pro
pert
y rig
hts’
flow
RC4.1 - Open Repositories and Marketplaces for IPRs
RC4.5 - Community-based Platforms for Shared IPR and Patents’ Generation
RC4.2 - IPR Recommendation and Governance Platforms
RC4.3 - Traceability of IPR Licenses across their derivatives
RC4.4 - Smart Platforms for Real-Time IPR
Negotiation
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Of course there (much) more in it! Have your say!
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http://www.dbi-community.eu
Thanks for your attention!
Dr. Sotiris Koussouris (NTUA)
Join Us!
http://www.dbi-community.eu @dbi_community
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July
8th
, 201
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