Looking at Future of Research Challenges in Enterprise Information
Systems
Michele Missikoff (CNR)
FInES Research Roadmap 2025 Rapporteur
Unit D4, DG Information Society and Media
CAiSE 2012 Conference, Gdansz
Predicting the Future
“Our future is no more as it used to be”
(Sir Arthur C. Clarke)
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especially about the future”
I agree with the physicist Neils Bohr
“Prediction is very difficult,
Examples of fallacious prophecies
Prophecy, forecast, outlook, ... always the risk of missing the point
Three ‘historical’ examples in:
• Media development
• Telecommunication
• Mass transportation
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Media development
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Six centuries ago: invention of movable type printing
Prophecy: this invention is irrelevant, since less
than 1% of the population can read.
Telecommunications
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One+ century ago: about the development of the
telephone system.
Prophecy: soon the expansion will be slowed down
because of problems in finding girls to operate at the
manual switchboards.
Mass transportation
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One+ century ago: about the development of public
transportation in Manhattan.
Prophecy: soon the expansion will be slowed down
because of problems in the disposal of horse
excrement.
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FInES Research Roadmap
• A Task Force of the FInES (Future Internet Enterprise Systems) Cluster, DG InfSo, Unit D4
• To drawing the main lines for future research in the domain of FInES
• With a long-term, highly innovative vision, 2025 as time horizon.
• Assuming a socio-economic marked discontinuity in the next decade (… forget ‘business as usual’!)
• Editorial Board (EB ): restricted team of 4 people (Ensemble CSA Project)
• Scientific Advisory Group (SAG): a group of 15 invited members
• Expert Scientific Committee (ESC): committee of 15 selected members (after a call)
• FInES Cluster RR Coordination (CRRC): a restricted informal group, coordinated by the FInES Cluster Chair Cristina Martinez, Co-chair Man-Sze Li, and the EB, with the support of EC staff
• FInES Cluster Projects and Domain Experts
(more info at: www.fines-cluster.eu)
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Objectives of the FInES Research Roadmap
• To draw the main lines for future research in the domain of FInES: Future Internet Enterprise Systems
• Such research lines are positioned in a long-term, highly innovative vision, with 2025 as time horizon.
• This activity follows, and is based, on the previous FInES RR published in 2010
• It has been an input to the Commission for the Horizon 2020 Work Programme
Roadmapping Philosophy
• Roadmapping, seen essentially as a Knowledge Management endeavour
• Activities started with the definition of the overall knowledge organization
• 4 FInES Knowledge Spaces:
(i) Socio-technical (ii) Enterprises
(iii) Enterprise Systems (iv) Enabling Technologies
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The positioning of FInES Spaces
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Socio-economic
Enterprise
FInES
Technology
The 4 FInES Knowledge Spaces
1. Socio-economic Space
the larger context in which enterprises operate. It includes topics such as:
the social responsibility of enterprises, the impact on the environment and their carbon footprint, until the system of values goes beyond the pure financial dimension.
2. Enterprise Space
the key traits of future enterprises, the emerging
business and production models, new governance and organization paradigms, new forms of cooperation, all geared towards the continuous innovation paradigm
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The 4 FInES Knowledge Spaces (cont’)
3. Future Enterprise Systems
ICT solutions and socio-technical systems aimed at supporting the emerging future enterprises. In essence: FInES, aligned with business needs and rationale identified for the future enterprises.
4. Enabling Technology Space
ICT solutions, including knowledge representation, cooperation and interoperability, trust and security advanced services, etc., necessary for the development of FInES. In general, ICT enabling solutions that be needed for the purpose of FInES.
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Syn
op
tic v
iew
the
4 F
In
ES
Sp
aces
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Socio-economic Space
Enterprise
Space Humanistic
Inventive
Agile
Sensing
Community - oriented
Cognitive
Liquid
Sustainable
Glocal
Enterprise Quality
FInES
Space Enterprise Knowledge Application Systems FInES Engineering
RC1 RC2 RC3 RC4 RC5 RC6 RC7 RC8 RC9
Networking
Knowledge Tech
App Software
Computing & Storage
Natural
Interaction
Technology
Space
Social requirements, Drivers
Impacts
Business requirements Functions
Technical requirements
Enablers
Operational Dimension
1. A Vision on the Socio-economic Space in 2025
1. The need for a socio-economic discontinuity, current growth model is not sustainable (for 7 bln of people)
2. Different growths for wealth and well-being in reduced economic expansion
3. Disconnecting the Quantity of production from the Quality of Life (use better and longer what we have)
4. New model needs social cohesion
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Towards a new Development Model
• The current development model has reached an end
• Continuous growth of production and consumption (and waste disposal) is unbearable
• New value systems are emerging (ref. Stiglitz, Sen, Fitoussi report; S.Latouche and the ‘graceful degrowth’)
• Towards a development model where the quality of life is loosely connected to the possession of goods (see: Servitization)
• Innovation need to be re-considered in light of the above concerns
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Syn
op
tic v
iew
the
4 F
In
ES
Sp
aces
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Socio-economic Space
Enterprise
Space Humanistic
Inventive
Agile
Sensing
Community - oriented
Cognitive
Liquid
Sustainable
Glocal
Enterprise Quality
FInES
Space
Technology
Space
Social requirements, Drivers
Impacts
Business requirements Functions
Technical requirements Enablers
Operational Dimension
2. The Future Internet-based Enterprise
2a. Quality of Being
2b. The Operational Dimension
2c. New approaches to Future Enterprises Governance
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2a. Quality of Being: a first characterization
1. Humanistic Enterprise.
Putting human beings in the center
2. Inventive Enterprise.
Beyond R&D, nurturing creativity and continuous innovation
3. Agile Enterprise.
Continuous alignment with business needs and market requirements
4. Cognisant Enterprise
Beyond KM, promoting K at work, Learning Organizations, HR valorization
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QoB (cont’d)
5. Sensing Enterprise
Like a ‘living entity’, with sensors, smart objects, decentralised sensing, decision, (re)action
6. Community-oriented Enterprise
New forms of collaboration, community spirit, informal interaction, Working Social Networs
7. Liquid Enterprise
Fading boundaries (wrt customers, partners, competitors), new professional roles/positions
8. Glocal Enterprise
Enterprise capable of thinking globally acting locally
9. Sustainable Enterprise
Economical, social and environmental aware ••• 20
2b. The Operational Dimension
The following operational areas are connected in a spiral/fractal fashion
• Invent
• Plan
• Build
• Operate
• Monitor&Manage
• Dismiss
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2c. New approaches for Future Enterprises Governance
• Enterprise as a complex artefact
• Enterprise Engineering: need for a systematic approach
• Current Engineering methods are not suited for Enterprise Engineering
• Accepting the limits of Engineering approach (artefacts escaping our control...)
• Surviving with partial models, here Complexity Theory is a reference area
• E.g., from BPM to Complex Event Proc ••• 22
Syn
op
tic v
iew
the
4 F
In
ES
Sp
aces
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Socio-economic Space
Enterprise
Space
Enterprise Quality
FInES
Space Enterprise Knowledge Application Systems FInES Engineering
RC1 RC2 RC3 RC4 RC5 RC6 RC7 RC8 RC9
Technology
Space
Social requirements, Drivers
Impacts
Business requirements Functions
Technical requirements
Enablers
3. The Future Internet-based Enterprise Systems
This the Core Space, organised in three
dimensions:
1. Knowledge Dimension, since before acting it is necessary to know
2. Functional Dimension, to see what will be the main functions of a FInES
3. Engineering Dimension investigate new development techniques, with a specific focus on software applications.
Each dimension will be articulated with its Research Challenges
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3.1 The Knowledge Dimension
RC1. Unified Digital Enterprise
full digital image of the enterprise (Enterprise Architecture Fwk), with conceptual and factual (data) knowledge, behavioural and structural aspects, at various levels of details
RC2. Linked Open Knowledge
to connect and integrate actual knowledge/ data, in/outside of the enterprise (Web of Knowledge)
RC3. Complex Systems Modelling
with sections fully specified and sections characterised by non deterministic behaviour
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3.2 The Functional Dimension of a FInES
RC4. Innovation-oriented enterprise
production platforms
Invent – Plan – Build – Operate – Manage&Monitor – Dismiss
RC5. Unified Digital Enterprise (UDE) Management System
Constantly evolving the UDE to guarantee a digital reality mirroring the analogical reality
RC6. Cooperation and collaboration platforms
Smart Objects, Apps, people: all seamlessly Intp
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3.3 The Engineering Dimension of FInES
RC7. Proactive FInES Mashup (Design)
combined top-down (goal- and human-driven) and bottom-up (event- and object-driven) design
RC8. Autonomic Computing Components and Subsystems (Build)
Dynamic (re)organization of computational business resources resources mirroring (collective intelligence).
RC9. Flexible Execution platforms (Exec)
Different integrated paradigms, Agents, Smart Objects, Utility and Commodity Clouds
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The Science Base of FInES
• Much of the above Research Challenges need rigorous, well-founded approaches
• In the future FInES researches it is highly advisable to include activities related to Science Base
• E.g.:
– Design Science
– Complexity Theory
– Fuzzy self-organising systems
– Semantics
– Enterprise Engineering
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Syn
op
tic v
iew
the
4 F
In
ES
Sp
aces
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Socio-economic Space
Enterprise
Space
FInES
Space
Networking
Knowledge Tech
App Software
Computing & Storage
Natural Interaction Technology
Space
Technical requirements
Enablers
4. Future Technologies for FInES
ICTs are not our core research interest, but we rely on to achieve the sought FInES
• Networking
• Knowledge
• Application
• Computation and Storage
• Natural interaction
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4. Future Technologies for FInES
4.1 Future Networking technologies
Converging, seamless scaling networking infrastructures
4.2 Future Knowledge technologies
a – Diffused Knowledge Base Technology and Smart Objects
b – From raw data to knowledge assets
c – Innovation-oriented knowledge assets
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(4. Future Technologies for FInES)
4.3 Future Application Technologies
a - Proactive and autonomic computing
b - From deterministic to fuzzy computing
c - Beyond system consistency
d - Governance application technologies
e - Top-down problems definition and bottom-up systems aggregation
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(4. Future Technologies for FInES)
4.4 Future computation and storage technologies
From Cloud to Ground Computing (IoT). Glocal computing. Interoperability, trust&security, ...will be largely achieved. New computational models
4.5 Future Natural Interaction
• Disappearance of keyboard, mouse, HCI.
• Evolution of Natural User Interface (MS) ••• 33
From Cloud Computing for a Computing Enterprise
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In the 90s: the Network is the Computer...
In 2020: the Enterprise is the Computer
The Future of FInES RR
• Research Roadmapping as a Knowledge Management socio-cultural venture
• Open venture, leveraging on a constituency and collective intelligence
• Following the model of Wikipedia
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Future Perspectives
• FInES Research Roadmap as a ‘territory’ to continue to explore
• Organise the future along 3 dimensions
Content
Governance
Technology
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FInES Knowledge Flow
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Instances
Editors
Docs
Contributors
Community
FInES RR/Txt
Folksonomy
Web FInES RR/Web
The story is not over ...
• Questions?
• Comments?
• Proposals?
• Are you ready to be part of the team?
Thank you fo your attention!
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