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World Wide Value Web Automated Design of Real-World Multi-party - - PowerPoint PPT Presentation

World Wide Value Web Automated Design of Real-World Multi-party Services on the Web Dr. Pieter De Leenheer Monday 10 December 12 Ex. 1: High-speed Train Station in Greater London Monday 10 December 12 Ex. 1: High-speed Train Station in Greater


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SLIDE 1

World Wide Value Web

Automated Design of Real-World Multi-party Services on the Web

  • Dr. Pieter De Leenheer

Monday 10 December 12

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SLIDE 2
  • Ex. 1: High-speed Train Station in Greater London

Monday 10 December 12

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SLIDE 3
  • Ex. 1: High-speed Train Station in Greater London
  • OR
  • purchase a water-proof wall to keep water
  • ut

Monday 10 December 12

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SLIDE 4
  • Ex. 1: High-speed Train Station in Greater London
  • OR
  • purchase a water-proof wall to keep water
  • ut
  • purchase a pump to dispense ground water

from the tunnel

Monday 10 December 12

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SLIDE 5
  • Ex. 1: High-speed Train Station in Greater London
  • OR
  • purchase a water-proof wall to keep water
  • ut
  • purchase a pump to dispense ground water

from the tunnel

  • new value object (i.e., asset): unlimited

water resource

  • provided by “pumping service”

Monday 10 December 12

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SLIDE 6
  • Ex. 1: High-speed Train Station in Greater London
  • OR
  • purchase a water-proof wall to keep water
  • ut
  • purchase a pump to dispense ground water

from the tunnel

  • new value object (i.e., asset): unlimited

water resource

  • provided by “pumping service”
  • value integrator: the London Water

Authority (e.o.) in need of water resources

Monday 10 December 12

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SLIDE 7
  • Ex. 1: High-speed Train Station in Greater London
  • OR
  • purchase a water-proof wall to keep water
  • ut
  • purchase a pump to dispense ground water

from the tunnel

  • new value object (i.e., asset): unlimited

water resource

  • provided by “pumping service”
  • value integrator: the London Water

Authority (e.o.) in need of water resources

  • new service value network is win-win for both parties

Monday 10 December 12

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SLIDE 8
  • Ex. 2: Learning Languages with DuoLingo

Monday 10 December 12

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SLIDE 9
  • Ex. 2: Learning Languages with DuoLingo
  • OR
  • offer certified online language courses in return

for a subscription fee

Monday 10 December 12

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SLIDE 10
  • Ex. 2: Learning Languages with DuoLingo
  • OR
  • offer certified online language courses in return

for a subscription fee

  • value objects: fee, certificate

Monday 10 December 12

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SLIDE 11
  • Ex. 2: Learning Languages with DuoLingo
  • OR
  • offer certified online language courses in return

for a subscription fee

  • value objects: fee, certificate
  • offer certified language course for free in return

for written assessments via sentence translations

  • new value object: language-to-language

sentence translations

Monday 10 December 12

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SLIDE 12
  • Ex. 2: Learning Languages with DuoLingo
  • OR
  • offer certified online language courses in return

for a subscription fee

  • value objects: fee, certificate
  • offer certified language course for free in return

for written assessments via sentence translations

  • new value object: language-to-language

sentence translations

  • through text translating service

Monday 10 December 12

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SLIDE 13
  • Ex. 2: Learning Languages with DuoLingo
  • OR
  • offer certified online language courses in return

for a subscription fee

  • value objects: fee, certificate
  • offer certified language course for free in return

for written assessments via sentence translations

  • new value object: language-to-language

sentence translations

  • through text translating service
  • value integrator: content providers

Monday 10 December 12

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SLIDE 14
  • Ex. 2: Learning Languages with DuoLingo
  • OR
  • offer certified online language courses in return

for a subscription fee

  • value objects: fee, certificate
  • offer certified language course for free in return

for written assessments via sentence translations

  • new value object: language-to-language

sentence translations

  • through text translating service
  • value integrator: content providers
  • service relationships creates new value for both

parties.

Monday 10 December 12

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SLIDE 15

More Examples of Successful Networked Value Propositions Cleverly Combine Web Relations

  • http://www.slideshare.net/boardofinnovation/10-business-models-that-rocked-2010-6434921
  • how to automate this design process ?

Monday 10 December 12

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SLIDE 16

Overview of the Claims

Monday 10 December 12

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SLIDE 17

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people,

and organisations, emerging from the Web.

Monday 10 December 12

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SLIDE 18

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people,

and organisations, emerging from the Web.

  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness

to devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

Monday 10 December 12

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SLIDE 19

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people,

and organisations, emerging from the Web.

  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness

to devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

  • 3. One challenge is to articulate the structure and composition of value objects inherent to these

relationships that would lead them to gravitate towards unanticipated value propositions.

Monday 10 December 12

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SLIDE 20

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people,

and organisations, emerging from the Web.

  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness

to devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

  • 3. One challenge is to articulate the structure and composition of value objects inherent to these

relationships that would lead them to gravitate towards unanticipated value propositions.

  • 4. Presuming service-centric thinking, and non-linear patterns of the Web, Service Value Networks

(SVNs) lie at the center of this gravitation; forming the hubs of the Value Web.

Monday 10 December 12

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SLIDE 21

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people,

and organisations, emerging from the Web.

  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness

to devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

  • 3. One challenge is to articulate the structure and composition of value objects inherent to these

relationships that would lead them to gravitate towards unanticipated value propositions.

  • 4. Presuming service-centric thinking, and non-linear patterns of the Web, Service Value Networks

(SVNs) lie at the center of this gravitation; forming the hubs of the Value Web.

  • 5. (Service) Value Web technologies should embody generative principles similar to those that lead to

the success of the Web itself. In other words, Internet-based SVN technologies should allow for unanticipated contribution of value (through service) to the Web by enabling anyone to share and trade their value objects, just like previous generations of the Web did for knowledge and social sharing.

Monday 10 December 12

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SLIDE 22

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people,

and organisations, emerging from the Web.

  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness

to devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

  • 3. One challenge is to articulate the structure and composition of value objects inherent to these

relationships that would lead them to gravitate towards unanticipated value propositions.

  • 4. Presuming service-centric thinking, and non-linear patterns of the Web, Service Value Networks

(SVNs) lie at the center of this gravitation; forming the hubs of the Value Web.

  • 5. (Service) Value Web technologies should embody generative principles similar to those that lead to

the success of the Web itself. In other words, Internet-based SVN technologies should allow for unanticipated contribution of value (through service) to the Web by enabling anyone to share and trade their value objects, just like previous generations of the Web did for knowledge and social sharing.

Monday 10 December 12

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SLIDE 23
  • 1. Our world has become a large-scale non-linear network of rich

relationships between technologies, people, and organisations, emerging from the Web.

How come ?

Monday 10 December 12

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SLIDE 24

Sources: Nova Spivack, John Breslin, Mills Davis, www.opte.org

Monday 10 December 12

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SLIDE 25

Sources: Nova Spivack, John Breslin, Mills Davis, www.opte.org

Monday 10 December 12

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SLIDE 26

Sources: Nova Spivack, John Breslin, Mills Davis, www.opte.org

“By carefully excluding features that are not universally useful Internet technologies became easily adopted on a massive scale and gave the Web a generative [i.e. self-reproductive] character” (Zittrain, 2009).

Monday 10 December 12

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SLIDE 27

Agent webs That know, Learn & reason As humans do

Increasing Knowledge Connectivity & Reasoning Increasing Social Connectivity The Ubiquitous Web

Connects Intelligence

The Semantic Web

Connects Knowledge

The Social Web

Connects People

The Web

Connects Information

Artificial Intelligence Personal Assistants Intelligent Agents Ontologies Thesauri & Taxonomies Semantic Search Bots Blogjects Semantic Website & UI Semantic Blog Semantic Wiki Autonomic Intellectual Property Spime Semantic Agent Ecosystems Smart Markets Multi-user Gaming Semantic Social networks Semantic Communities Wiki Community Portals Marketplaces & Auctions Blogs RSS Social Networks Email Conferencing Instant Messaging P2P File Sharing PIMS Web Sites Search Engines Knowledge Bases Content Portals Enterprise Portals “Push” Publish & Subscribe Databases File Servers Social Bookmarking Semantic Desktop Semantic Enterprise Desktop Context-Aware Games Mash-ups Semantic Email Natural Language

Sources: Nova Spivack, John Breslin, Mills Davis, www.opte.org

“By carefully excluding features that are not universally useful Internet technologies became easily adopted on a massive scale and gave the Web a generative [i.e. self-reproductive] character” (Zittrain, 2009).

Monday 10 December 12

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SLIDE 28

Sources: Nova Spivack, John Breslin, Mills Davis, www.opte.org

“By carefully excluding features that are not universally useful Internet technologies became easily adopted on a massive scale and gave the Web a generative [i.e. self-reproductive] character” (Zittrain, 2009).

Monday 10 December 12

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SLIDE 29

Sources: Nova Spivack, John Breslin, Mills Davis, www.opte.org

“By carefully excluding features that are not universally useful Internet technologies became easily adopted on a massive scale and gave the Web a generative [i.e. self-reproductive] character” (Zittrain, 2009). Web Science: The Web’s relational patterns exhibit “long tail” distributions: “80% of sales goes to 20% of the offerings”

Monday 10 December 12

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SLIDE 30
  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web,
  • rganisations should harness to devise new forms of value co-
  • creation. To this end, enterprises must abandon value-chain

thinking*. Why is it not happening ?

(*) for now, we ignore the required changes in enterprise governance and operations management.

Monday 10 December 12

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SLIDE 31

The Problem of SOA: Service-oriented Architecture

Norman & Ramirez (1993): “the key strategic task is the reconfiguration of roles and relationships among this constellation of actors in order to mobilise the creation of value in new forms and by new players.”

Monday 10 December 12

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SLIDE 32

The Problem of SOA: Service-oriented Architecture

  • believed to be core enabling technology, however no large-scale adoption for service
  • a componential approach inspired by product innovation: “bill of materials” and “urban architecture”

Norman & Ramirez (1993): “the key strategic task is the reconfiguration of roles and relationships among this constellation of actors in order to mobilise the creation of value in new forms and by new players.”

Monday 10 December 12

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SLIDE 33

The Problem of SOA: Service-oriented Architecture

  • believed to be core enabling technology, however no large-scale adoption for service
  • a componential approach inspired by product innovation: “bill of materials” and “urban architecture”

➡ clever idea but with lack of appreciation of inherent traits of service co-production: variety, intangibility, and coopetition

Norman & Ramirez (1993): “the key strategic task is the reconfiguration of roles and relationships among this constellation of actors in order to mobilise the creation of value in new forms and by new players.”

Monday 10 December 12

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SLIDE 34

The Problem of SOA: Service-oriented Architecture

  • believed to be core enabling technology, however no large-scale adoption for service
  • a componential approach inspired by product innovation: “bill of materials” and “urban architecture”

➡ clever idea but with lack of appreciation of inherent traits of service co-production: variety, intangibility, and coopetition

  • biased by the enterprise-centric vision, hence electronic business implementations:
  • rely on hierarchy of functional components, i.e.: Web services for exchange of data and functionality
  • enforce how to execute a certain business operation in a fixed pre-defined manner: time dependency and

control flow

Norman & Ramirez (1993): “the key strategic task is the reconfiguration of roles and relationships among this constellation of actors in order to mobilise the creation of value in new forms and by new players.”

Monday 10 December 12

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SLIDE 35

The Problem of SOA: Service-oriented Architecture

  • believed to be core enabling technology, however no large-scale adoption for service
  • a componential approach inspired by product innovation: “bill of materials” and “urban architecture”

➡ clever idea but with lack of appreciation of inherent traits of service co-production: variety, intangibility, and coopetition

  • biased by the enterprise-centric vision, hence electronic business implementations:
  • rely on hierarchy of functional components, i.e.: Web services for exchange of data and functionality
  • enforce how to execute a certain business operation in a fixed pre-defined manner: time dependency and

control flow ➡ completely ignores aspects related to the exchange of value: e.g., strategy, proposition, roles, resourcing, pricing, quality and regulatory compliance

Norman & Ramirez (1993): “the key strategic task is the reconfiguration of roles and relationships among this constellation of actors in order to mobilise the creation of value in new forms and by new players.”

Monday 10 December 12

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SLIDE 36

The Problem of SOA: Service-oriented Architecture

  • believed to be core enabling technology, however no large-scale adoption for service
  • a componential approach inspired by product innovation: “bill of materials” and “urban architecture”

➡ clever idea but with lack of appreciation of inherent traits of service co-production: variety, intangibility, and coopetition

  • biased by the enterprise-centric vision, hence electronic business implementations:
  • rely on hierarchy of functional components, i.e.: Web services for exchange of data and functionality
  • enforce how to execute a certain business operation in a fixed pre-defined manner: time dependency and

control flow ➡ completely ignores aspects related to the exchange of value: e.g., strategy, proposition, roles, resourcing, pricing, quality and regulatory compliance

  • complement SOA with value abstraction level: declare knowledge about what the business domain constitutes in

terms of assets and relationships that allows to reactively adapt its role in changing value propositions.

  • Service-dominant logic: ontological analysis of “service” as a perdurant (“action”), rather than an endurant (“object”)....

Norman & Ramirez (1993): “the key strategic task is the reconfiguration of roles and relationships among this constellation of actors in order to mobilise the creation of value in new forms and by new players.”

Monday 10 December 12

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SLIDE 37

Service Network Approaches: State of the Art

  • dotted circles:
  • process-based
  • planning problem
  • solid circles:
  • value-based
  • design problem

➡ low tendency towards decentralised and automated approaches ➡ contamination of process-thinking in network-centric approaches ➡ lonely at the top?

Design None Analysis Matching Bundling Composition Dynamic Composition Enterprise-centric: hierarchical process-driven organisation Network-centric: decentralised relationship-driven organisation ICT support:

Value Chain (Porter, 1985) BMO (Oster- walder, 2004)

e3value (Gordijn, 2002)

e3service (de Kinderen, 2009) Servigu- ration (Baida, 2006)

Value Networks (Allee, 2002)

REA (McCarthy, 1982)

GVP (Zlatev, 2007) O-WSP (Omela- yenko, 2006)

(Razo- Zapata et al., BUSITAL, 2010) (Gordijn et al., HICCS, 2011) (Razo- Zapata, BUSITAL 2011)

Wiki- nomics (Tapscott, 2008) Digital Capital (Tapscott, 2000)

VBC (Nakamu ra, 2006 ) (Traverso , 2004) Dynami- CoS (Da Silva, 2011)

u- Service (Lee, 2011) CPC (Letia, 2008)

(Kohl- born, 2010)

(Becker, 2009)

Ontomat (Agarwal, 2004) Service Architectu- res (Booth, 2004) METEOR

  • S (2005)

SNN (Bitsaki, 2008)

Monday 10 December 12

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SLIDE 38

Overview of the Claims

Monday 10 December 12

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SLIDE 39

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people, and
  • rganisations, emerging from the Web.

Monday 10 December 12

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SLIDE 40

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people, and
  • rganisations, emerging from the Web.
  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness to

devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

Monday 10 December 12

slide-41
SLIDE 41

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people, and
  • rganisations, emerging from the Web.
  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness to

devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

3.One challenge is to articulate the structure and composition of value objects inherent to these relationships that would lead them to gravitate towards unanticipated value propositions.

Monday 10 December 12

slide-42
SLIDE 42

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people, and
  • rganisations, emerging from the Web.
  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness to

devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

3.One challenge is to articulate the structure and composition of value objects inherent to these relationships that would lead them to gravitate towards unanticipated value propositions. 4.Presuming service-centric thinking, and non-linear patterns of the Web, Service Value Networks (SVNs) lie at the center of this gravitation; forming the hubs of the Value Web.

Monday 10 December 12

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SLIDE 43

Overview of the Claims

  • 1. Our world is a large-scale non-linear network of rich relationships between technologies, people, and
  • rganisations, emerging from the Web.
  • 2. Web relationships are a catalyst for innovation, i.e., a Value Web, that organisations should harness to

devise new forms of value co-creation. To this end, enterprises must abandon value-chain thinking.

3.One challenge is to articulate the structure and composition of value objects inherent to these relationships that would lead them to gravitate towards unanticipated value propositions. 4.Presuming service-centric thinking, and non-linear patterns of the Web, Service Value Networks (SVNs) lie at the center of this gravitation; forming the hubs of the Value Web.

  • 5. (Service) Value Web technologies should embody generative principles similar to those that lead to

the success of the Web itself. In other words, Internet-based SVN technologies should allow for unanticipated contribution of value (through service) to the Web by enabling anyone to share and trade their value objects, just like previous generations of the Web did for knowledge and social sharing.

Monday 10 December 12

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SLIDE 44

Service Value Networks

  • service co- production, i.e. ”bundling”
  • in function of well-articulated needs.
  • reflects an acceptable trade-off between
  • value proposition (to maximize short-

term profit) and

  • market accuracy (to minimize

consumer sacrifice)

  • fractal system: the Value Web is a SVN in

which every peer itself can be an SVN

  • thus SVN composition becomes a

complex problem

Monday 10 December 12

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SLIDE 45

Service Value Networks

  • service co- production, i.e. ”bundling”
  • in function of well-articulated needs.
  • reflects an acceptable trade-off between
  • value proposition (to maximize short-

term profit) and

  • market accuracy (to minimize

consumer sacrifice)

  • fractal system: the Value Web is a SVN in

which every peer itself can be an SVN

  • thus SVN composition becomes a

complex problem

An SVN is a complex system of peers that establish the necessary relationships to collectively produce (hence co-produce) value (in terms of a real-world service) for their environment (Razo- Zapata, De Leenheer, & Gordijn, 2011).

Monday 10 December 12

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SLIDE 46

Service Value Networks

  • service co- production, i.e. ”bundling”
  • in function of well-articulated needs.
  • reflects an acceptable trade-off between
  • value proposition (to maximize short-

term profit) and

  • market accuracy (to minimize

consumer sacrifice)

  • fractal system: the Value Web is a SVN in

which every peer itself can be an SVN

  • thus SVN composition becomes a

complex problem

An SVN is a complex system of peers that establish the necessary relationships to collectively produce (hence co-produce) value (in terms of a real-world service) for their environment (Razo- Zapata, De Leenheer, & Gordijn, 2011). teaching “introduction to databases”

Monday 10 December 12

slide-47
SLIDE 47

Service Value Networks

  • service co- production, i.e. ”bundling”
  • in function of well-articulated needs.
  • reflects an acceptable trade-off between
  • value proposition (to maximize short-

term profit) and

  • market accuracy (to minimize

consumer sacrifice)

  • fractal system: the Value Web is a SVN in

which every peer itself can be an SVN

  • thus SVN composition becomes a

complex problem

An SVN is a complex system of peers that establish the necessary relationships to collectively produce (hence co-produce) value (in terms of a real-world service) for their environment (Razo- Zapata, De Leenheer, & Gordijn, 2011). teaching “introduction to databases” ability to normalise a database

Monday 10 December 12

slide-48
SLIDE 48

Service Value Networks

  • service co- production, i.e. ”bundling”
  • in function of well-articulated needs.
  • reflects an acceptable trade-off between
  • value proposition (to maximize short-

term profit) and

  • market accuracy (to minimize

consumer sacrifice)

  • fractal system: the Value Web is a SVN in

which every peer itself can be an SVN

  • thus SVN composition becomes a

complex problem

An SVN is a complex system of peers that establish the necessary relationships to collectively produce (hence co-produce) value (in terms of a real-world service) for their environment (Razo- Zapata, De Leenheer, & Gordijn, 2011). teaching “introduction to databases” ability to normalise a database

certificate / diploma

Monday 10 December 12

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SLIDE 49

SVN Composition Problem: Design vs. Planning

  • Composition is a Design- rather than

Planning- problem

  • “service artifact”: what value is

exchanged rather than how and when

  • value network analysis
  • patterns of exchange ?
  • causal effect of value within

and on environment?

  • value accuracy?
  • self-adaptation principles?

Monday 10 December 12

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SLIDE 50

Articulating needs: from a long & happy life down to toothpaste

  • I.S. requirements engineering meets marketing theory:
  • separation of structure and solution (e.g., means-end chaining, quality function

deployment, problem frames, i*) reveals different functions of product attributes:

  • product (toothpaste): attribute (minty) -> consequence (neat image, increase social

inclusion) -> value (sense of beloning) <= need for a happy life

  • product (toothpaste): attribute(calcium;teeth strengthener) -> consequence (stay healthy)

<= need for a long life [note: attribute(minty) not relevant]

  • .... and semantically encode this in consequence ladders, based on a customer

perspective ontology:

  • Kinds of needs: physical good (house), human resource, monetary resources,

information, capability (course), experience (museum visit), state change (hair cut, car wash, a flight)

Problem recognition Information search Post- purchase Evaluation Purchase

  • Fig. 1. The Customer Buying Behavior Model, cf. Kotler (2000)

Monday 10 December 12

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SLIDE 51

Customer Perspective Ontology & Example (1) in the domain of Assisted Living for Dementia Patients

Specified by Depends ¡on Core ¡enhancing 1…* 0…* 0…* Functional ¡ consequence Contained ¡in 0…* Scale 0..1 Has 0…* Optional ¡bundling Want Quality ¡ consequence Need 0..* Consists ¡of Has 1…* Has 0...1 Core ¡enhancing 0…* Optional ¡bundling Consequence nominal

  • rdinal

interval ratio 0…*

Kinderen, de S.; De Leenheer et al. An ontology for needs-driven service bundling in a multi-supplier setting. In J. of Applied Ontology, 2013 (to appear)

Dagsocieteit Dinnerdelivery I cannot cope anymore, what can help? Meal preparation Diet Sugar free Kosher Flesh as main course Meat as main course Diningtable Contact type: In person Preparation: Hot Meal preparation Social contacts dementia-patient Social contacts informal carer Physical activities for person with dementia Social support for person with dementia Social support informal carer Preparation Frozen Hot …. ….. …. need Want Functional consequence Scales of quality consequences Practical support for person with dementia ….. ….. Loaningservice Possibility to loan eg. an (electrical) wheelchair OB Duration: <= 6 Months > 6 Months

  • Handyman

Adjustment: Large, eg. Stairlift Minor, eg. Ramps Adjustments to home Meal delivery ….. OB OB

  • Transportation

Transportation Contact type Internet In person …. Recreational activities Social contacts dementia-patient Casemanagement Keeping informed about dementia patient C/E

  • …..

Monday 10 December 12

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SLIDE 52

Customer Perspective Ontology & Example (1) in the domain of Assisted Living for Dementia Patients

Specified by Depends ¡on Core ¡enhancing 1…* 0…* 0…* Functional ¡ consequence Contained ¡in 0…* Scale 0..1 Has 0…* Optional ¡bundling Want Quality ¡ consequence Need 0..* Consists ¡of Has 1…* Has 0...1 Core ¡enhancing 0…* Optional ¡bundling Consequence nominal

  • rdinal

interval ratio 0…*

Kinderen, de S.; De Leenheer et al. An ontology for needs-driven service bundling in a multi-supplier setting. In J. of Applied Ontology, 2013 (to appear)

a set of consequences at least one party likes to

  • ffer (NAPCS, etc.)

Dagsocieteit Dinnerdelivery I cannot cope anymore, what can help? Meal preparation Diet Sugar free Kosher Flesh as main course Meat as main course Diningtable Contact type: In person Preparation: Hot Meal preparation Social contacts dementia-patient Social contacts informal carer Physical activities for person with dementia Social support for person with dementia Social support informal carer Preparation Frozen Hot …. ….. …. need Want Functional consequence Scales of quality consequences Practical support for person with dementia ….. ….. Loaningservice Possibility to loan eg. an (electrical) wheelchair OB Duration: <= 6 Months > 6 Months

  • Handyman

Adjustment: Large, eg. Stairlift Minor, eg. Ramps Adjustments to home Meal delivery ….. OB OB

  • Transportation

Transportation Contact type Internet In person …. Recreational activities Social contacts dementia-patient Casemanagement Keeping informed about dementia patient C/E

  • …..

Monday 10 December 12

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SLIDE 53

Customer Perspective Ontology & Example (2) in the Educational Domain

  • consequences generated from open databases: http://

www.accreditedqualifications.org.uk

Monday 10 December 12

slide-54
SLIDE 54

Supplier Perspective Ontology

Monday 10 December 12

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SLIDE 55

Supplier Perspective Ontology

value activity

Monday 10 December 12

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SLIDE 56

Supplier Perspective Ontology

value activity value object

Monday 10 December 12

slide-57
SLIDE 57

Supplier Perspective Ontology

value activity value object value interface: reciprocity

Monday 10 December 12

slide-58
SLIDE 58

Service Value Network for Edu Services

Monday 10 December 12

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SLIDE 59

Matching

  • generating the candidate

service space

  • explosive !

Monday 10 December 12

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SLIDE 60

Bundling

  • clustering
  • push heuristic

β Service ID FC1 FC2 FC3 FC4 S17 1 1 1 S16 1 1 1 S15 1 1 1 S14 1 1 1 S13 1 1 S12 1 S11 1 S10 1 1 1 S9 1 1 S8 1 1 S7 1 S6 1 1 S5 1 S4 1 S3 1 S2 1 S1 1 β Service ID FC1 FC2 FC3 FC4 S17 1 1 1 S16 1 1 1 S15 1 1 1 S14 1 1 1 S13 1 1 S12 1 S11 1 S10 1 1 1 S9 1 1 S8 1 1 S7 1 S6 1 1 S5 1 S4 1 S3 1 S2 1 S1 1

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SLIDE 61

Bundling

  • clustering
  • push heuristic

Cluster ID Elements Cluster.β Cluster.msb C14 {S17} [1110] 8 C13 {S16} [1101] 8 C11 {S14, S15} [1011] 8 C9 {S13} [1001] 8 C8 {S11, S12} [1000] 8 C7 {S10} [0111] 4 C5 {S8, S9} [0101] 4 C4 {S7} [0100] 4 C3 {S6} [0011] 2 C2 {S4, S5} [0010] 2 C1 {S1, S2, S3} [0001] 1 Cluster ID Elements Cluster.β Cluster.msb C14 {S17} [1110] 8 C13 {S16} [1101] 8 C11 {S14, S15} [1011] 8 C9 {S13} [1001] 8 C8 {S11, S12} [1000] 8 C7 {S10} [0111] 4 C5 {S8, S9} [0101] 4 C4 {S7} [0100] 4 C3 {S6} [0011] 2 C2 {S4, S5} [0010] 2 C1 {S1, S2, S3} [0001] 1

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SLIDE 62

Bundling

  • clustering
  • push heuristic

Clusters to be combined Merging Cluster C1 ⊕ C2 → C3 C2 ⊕ C4 → C6 C2 ⊕ C5 → C7 C3 ⊕ C4 → C7 C4 ⊕ C8 → C12 C4 ⊕ C9 → C13 C5 ⊕ C8 → C13 C6 ⊕ C8 → C14 C6 ⊕ C9 → C15 C7 ⊕ C8 → C15 Clusters to be combined Merging Cluster C1 ⊕ C2 → C3 C2 ⊕ C4 → C6 C2 ⊕ C5 → C7 C3 ⊕ C4 → C7 C4 ⊕ C8 → C12 C4 ⊕ C9 → C13 C5 ⊕ C8 → C13 C6 ⊕ C8 → C14 C6 ⊕ C9 → C15 C7 ⊕ C8 → C15

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SLIDE 63

Bundling

  • clustering
  • push heuristic
  • C. ID

Elements Cluster.β Cluster.msb C15 {C6 ⊕ C9, C7 ⊕ C8} [1111] 8 C14 {S17, C6 ⊕ C8} [1110] 8 C13 {S16, C4 ⊕ C9, C5 ⊕ C8} [1101] 8 C12 {C4 ⊕ C8} [1100] 8 C11 {S14, S15} [1011] 8 C9 {S13} [1001] 8 C8 {S11, S12} [1000] 8 C7 {S10, C2 ⊕ C5, C3 ⊕ C4} [0111] 4 C6 {C2 ⊕ C4} [0110] 4 C5 {S8, S9} [0101] 4 C4 {S7} [0100] 4 C3 {S6, C1 ⊕ C2} [0011] 2 C2 {S4, S5} [0010] 2 C1 {S1, S2, S3} [0001] 1

  • C. ID

Elements Cluster.β Cluster.msb C15 {C6 ⊕ C9, C7 ⊕ C8} [1111] 8 C14 {S17, C6 ⊕ C8} [1110] 8 C13 {S16, C4 ⊕ C9, C5 ⊕ C8} [1101] 8 C12 {C4 ⊕ C8} [1100] 8 C11 {S14, S15} [1011] 8 C9 {S13} [1001] 8 C8 {S11, S12} [1000] 8 C7 {S10, C2 ⊕ C5, C3 ⊕ C4} [0111] 4 C6 {C2 ⊕ C4} [0110] 4 C5 {S8, S9} [0101] 4 C4 {S7} [0100] 4 C3 {S6, C1 ⊕ C2} [0011] 2 C2 {S4, S5} [0010] 2 C1 {S1, S2, S3} [0001] 1

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SLIDE 64

Bundling

  • clustering
  • push heuristic

Solution Clusters Solution Bundles C6 ⊕ C9 {C2 ⊕ C4} ⊕ C9 C7 ⊕ C8 {{S10}, {C3 ⊕ C4}, {C2 ⊕ C5}} ⊕ C8 C6 ⊕ C9 {{S4, S7}, {S5, S7}} ⊕ S13 C7 ⊕ C8 {{S10}, {S1, S4, S7}, {S1, S5, S7}, {S2, S4, S7}, {S2, S5, S7}, {S3, S4, S7}, {S3, S5, S7}, {S4, S8}, {S4, S9}, {S5, S8}, {S5, S9}} ⊕ {S11, S12} C6 ⊕ C9 {S4, S7, S13}, {S5, S7, S13} C7 ⊕ C8 {S10, S11}, {S10, S12}, {S1, S4, S7, S11}, {S1, S5, S7, S11}, {S2, S4, S7, S11}, {S2, S5, S7, S11}, {S3, S4, S7, S11}, {S3, S5, S7, S11}, {S4, S8, S11}, {S4, S8, S12}, {S4, S9, S11}, {S4, S9, S12}, {S5, S8, S11}, {S5, S8, S12}, {S5, S9, S11}, {S5, S9, S12} Solution Clusters Solution Bundles C6 ⊕ C9 {C2 ⊕ C4} ⊕ C9 C7 ⊕ C8 {{S10}, {C3 ⊕ C4}, {C2 ⊕ C5}} ⊕ C8 C6 ⊕ C9 {{S4, S7}, {S5, S7}} ⊕ S13 C7 ⊕ C8 {{S10}, {S1, S4, S7}, {S1, S5, S7}, {S2, S4, S7}, {S2, S5, S7}, {S3, S4, S7}, {S3, S5, S7}, {S4, S8}, {S4, S9}, {S5, S8}, {S5, S9}} ⊕ {S11, S12} C6 ⊕ C9 {S4, S7, S13}, {S5, S7, S13} C7 ⊕ C8 {S10, S11}, {S10, S12}, {S1, S4, S7, S11}, {S1, S5, S7, S11}, {S2, S4, S7, S11}, {S2, S5, S7, S11}, {S3, S4, S7, S11}, {S3, S5, S7, S11}, {S4, S8, S11}, {S4, S8, S12}, {S4, S9, S11}, {S4, S9, S12}, {S5, S8, S11}, {S5, S8, S12}, {S5, S9, S11}, {S5, S9, S12}

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SLIDE 65

Animation of the Bundling

  • http://www.youtube.com/watch?v=sUnPs53F-cA

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SLIDE 66

e3value Business Proposition for the Service Bundles

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SLIDE 67

B2B Linking with e.g., Software Services

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SLIDE 68

Verification

  • checking whether the design satisfies functional and non-functional

specifications

wc : fc → [0, 1], wa : fc → {0.5}

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SLIDE 69

Calculating Fractions

FP = WP TWC , FM = WM TWC , FN = WN TWSV N

FP = 0.8 + 1.0 0.6 + 0.8 + 1.0 = 1.8 2.4 = 0.75 FM = 0.6 0.6 + 0.8 + 1.0 = 0.6 2.4 = 0.25 FN = 0.5 0.6 + 0.8 + 1.0 + 0.5 = 0.5 2.9 = 0.17

  • r SV N3:

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SLIDE 70

Memberships: Fuzzify

1: IF P is many AND M is few AND NR is few THEN Perfect 2: IF P is many AND M is few AND NR is some THEN Good 3: IF P is many AND M is some AND NR is few THEN Good 4: IF P is many AND M is some AND NR is some THEN Good 5: IF P is some AND M is few AND NR is few THEN Average 6: IF P is some AND M is few AND NR is some THEN Average 7: IF P is some AND M is some AND NR is few THEN Poor 8: IF P is some AND M is some AND NR is some THEN Poor ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... N: IF P is few AND M is many AND NR is many THEN Bad

FP = 0.8 + 1.0 0.6 + 0.8 + 1.0 = 1.8 2.4 = 0.75 FM = 0.6 0.6 + 0.8 + 1.0 = 0.6 2.4 = 0.25 FN = 0.5 0.6 + 0.8 + 1.0 + 0.5 = 0.5 2.9 = 0.17

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SLIDE 71

Defuzzy and Rank

SV N1 SV N2 SV N3 P Many (1.0) Some (0.90), Many (0.10) Some (0.45), Many (0.45) M Few (1.0) Few (0.10), Some (0.90) Few (0.45), Some (0.45) N Few (0.70), Some (0.25) Few (1.0) Few (0.70), Some (0.25) Applied rules 1,2 1,3,5,7 1-8 Aggregation Perfect(0.7),Good(0.25) Perfect (0.1), Good(0.1), Perfect(0.45), Good(0.95) Average(0.1), Poor(0.9) Average(0.7), Poor(0.7) Score 8.69 3.66 5.68

{

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SLIDE 72

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SLIDE 73

Animation of all Steps in SVN Composition

  • http://www.youtube.com/watch?v=tsrbv7-cN0A

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SLIDE 74
  • 5. The (Service) Value Web should be built on technologies that embody the same

generative principles that lead to the success of the Web itself. In other words, Internet-based SVN technologies should allow for unanticipated contribution of value (through services) to the Web by enabling anyone to share and trade their value objects, just like previous generations of the Web did for knowledge and social sharing.

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SLIDE 75

Service Description Languages

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SLIDE 76

Current Assumptions and Biases that impede our goal for on-the-fly adaptation

  • we assume that the consumer explicitly articulates a need, and ranks proposed service bundles

accordingly;

  • we distinguish strongly between consumer and provider perspectives: strength and weakness;
  • we should integrate sacrifices (such as our price models) better and investigate their effect on

the size of the solution space (during matching), and ranking of bundles (during verification);

  • current verification is based on case-to-case base, while it would be also interesting to consider

the effect of global market trends on accuracy;

  • we should further investigate the effect of business and technical constrains on the size of

solution space (during matching)

  • measure the value creation using the derived e3value business models
  • case studies: global software development, ambient assisted living
  • Collibra: changing enterprise governance from data management processes outwards

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SLIDE 77

ODBASE 2013

  • http://www.onthemove-conferences.org/index.php/odbase13

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SLIDE 78

References

  • De Leenheer, P

.; Cardoso, J.; Pedrinaci (2013) Ontological Representation and Governance of Business Semantics in Compliant Service Networks. In Proc. of IESS 2012, LNBIP , to appear

  • De Leenheer, P

., Christiaens, S., Meersman, R. (2010) Business Semantics Management: a Case Study for Competency-centric HRM. In Journal of Computer for Industry 61(8): 760-775, Elsevier

  • Limonad, L.; De Leenheer, P

.; Linehan, M.; Hull, R.; Vaculín, R. (2012) Ontology of Dynamic Entities. In Proc. of ER 2012, LNCS, Springer, pp. 345-358

  • Kinderen, de S.; De Leenheer et al. An ontology for needs-driven service bundling in a multi-supplier setting. In J. of

Applied Ontology, 2013 (to appear)

  • Normann, R.; Ramírez, R. (1993) From Value Chain to Value Constellation: Designing Interactive Strategy, Harvard

Business Review 71:65-77

  • Razo-Zapata, I.; De Leenheer, P

.; Gordijn, J.; Akkermans, H. (2012) Fuzzy Verification of Service Value Networks. In

  • Proc. of CAiSE 2012, Springer LNCS 7328, pp. 95-110
  • Razo-Zapata, I.; Gordijn, J.; De Leenheer, P

.; Akkermans, H. (2011) Dynamic Cluster-based Service Bundling: a Value-

  • riented Framework. In Proc. of IEEE CEC 2011, Luxembourg, Luxembourg, IEEE Press
  • Razo-Zapata, I.; De Leenheer, P

.; Gordijn, J.; Akkermans, H. (2012) Service Network Approaches. In Barros, A.; Oberle,

  • D. Handbook of Service Description: USDL and its Methods, Springer, pp. 45-74
  • Vargo and Lusch (2004) Evolving towards a new dominant logic for marketing. Journal of Marketing 68:1-19
  • Zittrain (2009) The Future of the Internet and How to Stop it. Yale University Press (http://futureoftheinternet.org/

download)

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