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The ARISTOTELE Project for
Governing Human CapitalIntangible Assets: A Service
Science and Viable Systems
Perspective
1st International Conference on
Human Side of Service Engineering
@AHFE2012 21-25 July 2012
San Francisco (USA)
Pierluigi Ritrovato
S. Salerno, P. Piciocchi, C. Bassano,
P. Ritrovato, G. Santoro
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Overview of the ARISTOTELE project
The ARISTOTELE vision and approach
Service Science Management Engineering + Design (SSME+D) and Viable Systems
Approach (VSA) ARISTOTELE key elements
ARISTOTELE Models
ARISTOTELE Methodologies
ARISTOTELE tools
Some distinctive features Workers relevance analysis based onVSA
Competencies and profile based tab suggestions
Competencies and Trust based Teambuilding
CurriculumVitae analysis
Adaptive learning experience generation
How to facilitate Adoption, Acceptance and Assimilation of the ARISTOTELEplatform
Talk Outline
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FP7 EU funded Integrated Project Coordinated by CRMPA with a key-role ofMOMA from technical and exploitation point-of-view
Best combination for research and exploitation success
8 partners with end-user involvement
Proven complementarities and experience
6.4 M (4.5M funding by the EC) for 3 years
Challenging results with clear value for money
High strategic impact thanks to a strong business orientation and commitment
Two pilotpartners involved in differentdomains (PHI and AMIS)
Starting from an existing solution (IntelligentWeb Teacher)
Build on top of market leader enterprise & collaborative platform(Microsoft Sharepoint20120)
Presence of a partner with a role of innovator/earlyadopter (ENG)
Innovative approach to conceive relations among knowledge flows, learningobjectives, and creativity within the organization
General Information
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Scientific
Coordinator
Project
CoordinatorTechnical
Manager
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ARISTOTELE Partners
ARISTOTELE
Academic
Industrial
Pilot
Research
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In Enterprise contexts, organizational, learning, and socialcollaboration processes are often managed independently
What ARISTOTELE is about
ARISTOTELEaimstocoordinatethemthroughasortofvirtuouscyclewhereintangiblevalues(creativity,competences,andknowledge)are trackedandcollectedinorderto:
Beexploitedinotherprocesses
Improve/innovateotherprocesses
Centraltothisvirtuouscycleare: Theworker Theenablingroleof
technologies
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Target
large size Knowledge intensive organisation
Support Knowledge Workers (Drucker 1999, Reinhardt et al., 2011) incollaborative knowledge sharing, learning and innovation development
through a bottom-up reconstruction of best practices and processesadopted in every-day activities
ARISTOTELE Key points:
Enable Learning Organisation and support Organisational Learning
Providing a new way to establish and enhance relations among knowledgeflows, organizational and learning objectives, work practices, and creativitywithin knowledge intensive organizations
Propose a novel methodological and modelling ground, consisting of
Conceptual Models representing organizational assets in a machine-
understandable way formalisation of knowledge using semantic schema and correlation among key
assets
Innovative Methodologies operating on conceptual models
achievement of organizational and performance objectives
What ARISTOTELE is about (1/2)
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Key points of ARISTOTELE (cont.): Provide a set of ARISTOTELE business Process Patterns
related to knowledge intensive organisations work practices Processing (i.e. transforming , updating, ) assets available in
the semantic models
Representing the dynamicity of the conceptual models
Supported by ARISTOTELE methodologies
Develop an advanced service oriented platform
Human-centric
Models & methodologies driven (in contrast to technology-driven)
Built on top of state-of-the-art technologies (i.e. IWT IntelligentWeb Teacher, Microsoft Sharepoint2010)
What ARISTOTELE is about (2/2)
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The top level is the starting point: inputs (organizational objectives and workerneeds, preferences, ) influencing the key ARISTOTELE processes
The middle level embraces the key ARISTOTELE processes centred on
collaboration: Building of personalized learning experiences Creation of Innovation Factory for collaborative innovation boosting
Management and sharing of personal knowledge to be reused in different domains and tasks
The bottom level includes features supporting update and reuse of organizationalknowledge
ARISTOTELE enabling building blocks
and research areas (1/2)
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The top level is the starting point: organizational objectives and worker needs,preferences, to influence the key ARISTOTELE processes
The middle level embraces the key ARISTOTELE processes: Building of personalized learning experiences on the basis of the top level inputs
Creation of Innovation Factory (for collaborative innovation boosting) leaded by needs arising frompersonalized learning experiences and customized according to the organizational objectives
Management and sharing of personal knowledge to be reused in different domains and tasks
The bottom level includes features supporting update and reuse of organizationalknowledge
ARISTOTELE enabling building blocks and research
areas (2/2)Modelling using SemanticsInnovation factory:Collective intelligence,
Innovation Factory:Web 2.0 paradigm, collective intelligenceMethodologies and process to exploitcollaborative network and to foster theinnovation factories
Personalized learning:Methodologies supporting formal/informal
collabroative learningMethodologies to access to learning offersstartingfromrequests in natural language
PWLE:
Methodologies to capitalize knowledgeelicited through informal and informalactivitiesInnovation factory:Collective intelligence,
Knowledge management:
Methodologies and algorithms enabling:
Semi-automatic taxonomyconstructionAlignmentandmappingof domainontologiesSemi-automaticontologyextractionCapture and formalisation of knowledgeexchange
Innovation factory:Collective intelligence,
Methodologies for DSS for Human
Resource Management
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Linking Strategic and Operational levels
Mapping ofARISTOTELEmodels, toolsandmethodologies
on the Kaplan& Nortonclosed loopmanagement
system
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How Fit Everithing Together
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Both investigate on complex human systems
to ensure a viable quality of services:
increasingly quality of life depends both on the quality of service we receive
from these systems as customers, but also the types of job roles we find in thesesystems as working professionals
(Spohrer, 2010; Golinelli, 2010)
Service Science view
the fit skill
requirements in
meeting the demands
of variable service
economy
(Spohreret al., 2009);
Viable Systems
Approach
the interdependencies
and the challenges of
socio-economic contexts
in which organizations
try to survive and to be
viable (Golinelli, 2010)
More flexibility in
knowledge to be
suitable to cooperate
and collaborate in
service systems as
well as to improve
subjective and
organizational skills
and processes for
living in complexchanging scenarios
SSME+D&VSA: a new trans-disciplinary
approach
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The ARISTOTELE Project in
SSME+D & VSA perspectives
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(1) the connectivity between consonant and resonant entities
(2) value co-creation mechanisms used by entities according tointernal and external networks
ARISTOTELE is a complex integrated service oriented
architecture useful to enrich organization environment improving effectiveness
and efficiency
supporting social collaborative teams
Supporting transaction from managerial strong specialization ofprofessional profile I-Shaped professional to managerial multi-disciplinary variety knowledge, based on consonant subjective
specialization of new professional profile T-Shaped professional
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Knowledge Model (KM)
provides constructs for the representation ofenterprise knowledge entities, enterprise
domain vocabulary, educational vocabulary Competence Model (CM)
provides constructs for the representation ofcompetences and their relations to otherconcepts such as context, activities, and
objectives Worker Model (WM)
provides constructs for the representation ofworker including social, learning, workingand personal goals
Learning Experience Model (LEM)
provides constructs for the learningexperience needed to achieve a newcompetence or fill a competence gap.
ARISTOTELE Models
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How ARISTOTELE uses semantic schemas
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Role of the Models: Integrated Schemas
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The Knowledge Model
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Competence Model
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Worker Model
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Learning Experience Generation Model
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A Knowledge model instance example
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Knowledge Management (KM) Tool, exploiting methodologiesand techniques supporting organizational knowledge building andmaintenance (matching, merging) in a semi-automatic way usingknowledge extraction techniques as well.
Human Resource Management (HRM) Tool, exploitingmethodologies and techniques supporting competence gapanalysis, team and group formation, relevance analysis, internalresources competence development, and recruitment.
Social Collaboration and Networking (CN) Tool, aiming atsupporting the innovation process within the organization.
Learning Experience Generation (LEG) Tool, exploitingmethodologies and techniques to recommend suitable contentsand didactic approaches to the workers, to generate, adapt andmanage personalized learning experiences tailored to theorganizational objectives.
Personal Working and Learning Environment (PWLE) tool,acting as a methodological and technological integrator for all theother tools.
The Tools
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Objective: to provide a systemic way tomap relevant human resources andsupport HRM informed decisions
Relevance is the combination of Criticality
and Influence In VSA, relevance can then be interpreted as
the ability of an outside system (e.g. an
human resource) to condition the survivalprospects of a viable system (e.g. theorganisation)
Resources Relevance Analysis based
on VSA Framework (1/2)
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The approach: Qualification and quantification of Criticality and Influence
Clustering of the human resources Definition of possible strategies
Resources Relevance Analysis based
on VSA Framework (2/2)
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Available tools
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Available tools
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Adoption: (the decision of an organisation or any individual to make use of aninnovation. Rogers 1995)
Software Architecture based on accepted SOA framework forInformation Management Systems design (MIKE 2.0 - Method foran Integrated Knowledge Environment)
Definition of Business Process Patterns and description of howARISTOTELE impact on their activities
Definition of Startp processes for automatic population of models
Acceptance (the demonstrable willingness within a user group to employinformation technology for the tasks it is designed to support. Dillon and Morris 1996) Analysis of well known Frameworks and best practices in the 5
ARISTOTELE areas (i.e. L&T and HRM People Capability MaturityModel - Curtis et al., 2009)
Leverage on market leader product for Enterprise collaboration
Assimilation: (the extent to which the use of a technology diffuses acrossorganisational work processes and becomes routinized in the activities associatedwith those processes Chatterjee, Grewal & Sambamurthy 2002)
analysis of common work-practices and empirical validation Use of Open standards and Open Liked data approach
Towards Adoption, Acceptance and
Assimilation of the ARISTOTELE Platform
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Backup
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What is a Service System? What is Service Science?customers just name researchers just name
Economics & Law
Design/
Cognitive Science Systems
Engineering
OperationsComputer Science/
Artificial Intelligence
Marketing
a service system is a human-made system
to improve customer-provider interactions,
or value-cocreation between stakeholders
service science is
the interdisciplinary study ofservice systems &value-cocreation
Source: IBM Univesity Programs
Service Science (Spohrer & Maglio)
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Service Science (Spohrer & Maglio)
Service system entitiesdynamically configure
(transform) four types ofresources
Service system entities
calculate value frommultiple stakeholderperspectives
Service system entitiesreconfigure accessrights to resources by
mutually agreed tovalue propositions
Nation
State/Province
City/Region
Educational
InstitutionHealthcareInstitution
Other
Enterprises(job roles)
Family(household)
Person(professional)
P i f i i Wh t i t d
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Premises of service science: What service systems do
Service system entities
dynamically configure (transform)
four types of resources
Service system entities
calculate value from multiple
stakeholder perspectives
Service system entities
reconfigure access rights
to resources by mutually agreedto value propositions
S A
P C
Physical
Not-Physical
Rights No-Rights
2. Technology
4.. SharedInformation
1. People
3. Organizations
StakeholderPerspective
MeasureImpacted
Pricing Questions Reasoning
1.Customer Quality ValueBased
Should we? Model of customer:Do customers wantit?
2.Provider Productivity CostPlus
Can we? Model of self: Doesit play to ourstrengths?
3.Authority Compliance Regulated
May we? Model of authority:Is it legal?
4.Competitor
SustainableInnovation
Strategic Will we? Model ofcompetitor: Does itput us ahead?
Spohrer, J & Maglio, P. P. (2009) Service Science: Toward a Smarter Planet. In
Introduction to Service Engineering. Editors Karwowski & Salvendy. Wiley. Hoboken,
NJ..32
Resources Relevance Analysis based
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Resources Relevance Analysis based
on VSA Framework (2/4)
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Resources Relevance Analysis based on VSA
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Items that characterize the Criticality and Influence (our elaborationfrom Barile, Nigro, Trunfio, 2006) the easier one measurable withARISTOTELE
Criticality
Degree of core competences of a worker(e.g. ratio between #of corecompetences of the worker / total #of organisation core competences)
Degree of substitutability (e.g. ratio between #of similar workers / total #oforganisation workers )
Degree of usefulness or innovation of the worker delivery
Ability to increase the #of relationships
Influence
Rising Star (e.g. function of the #of promotions and/or rewards of the worker ina time period)
#of colleague following ideas or proposals (e.g. #of answers to a blogdiscussion of a worker)
Capability to capture interesting information (e.g. #of external documentsfound by the worker and adopted by the colleague)
Resources Relevance Analysis based on VSA
Framework (4/4)
Pierluigi Ritrovato@HSSE 25 J uly 2012 San Francisco