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Informational Governance and micro-macro linksGert Jan Hofstede, INF group
The message
1.Informational governance is data management in context
●That means people management
● It inherits from group behaviour...
● ...which is strongly culture-driven
2. Informational governance involves self-organization
●That can be ‘grown’ using agent-based modelling (ABM)
●cf. the WU IP/OP theme Complex Adaptive Systems (CAS)
Part 1. Information governance and transparency:
bringing micro-macro links to life
“Information governance, or IG, is the set of multi-disciplinary structures, policies, procedures, processes and controls implemented to manage information at an enterprise level, supporting an organization's immediate and future regulatory, legal, risk, environmental and operational requirements” (Wikipedia, 2014)
“Transparency of a netchain is the extent to which all the netchain’s stakeholders have a shared understanding of, and access to, the product-related information that they request, without loss, noise, delay and distortion” (Hofstede, 2003)
G.J. Hofstede (2003) Transparency in Netchains. In: Information Technology for a better Agri-Food Sector, Environment and Rural Living. Debrecen University, Debrecen, Hungary
Old problem...
G.J. Hofstede et al (2004) Hide or confide, the dilemma of transparency. Reed Business Information.
FMS ERP
at abattoir /at food processerat farm
slaughtering deboning cutting packagingbreeding fattening
Wholesale / Retail
labelling
tracking
Services: discovery / search / smartphone apps
EPCISRepository
tracing
EPCISRepositoryERP
EPCISRepositoryERP
EPCISRepository
Future state (Meat Information on Provenance in FIspace)
c.o. [email protected]
Transparency and micro-macro links
Hide!Good for
me ...
Confide!Good for
all ...
Food chain: Micro-macro links
A chain of products is really a network of people
Transparency:
• History
• Operations
• Strategy
- 8 -small Power distance large
Uncertaintyavoidance
weak
market
machine
family
pyramid
Models of organisation
Germany
Switzerland Ge
Austria
Switzerland Fr
France
Singapore
ChinaGreat Britain
Japan
United States
Italy
Russia
Polandstrong
Israel
India
Brazil
VlaanderenWallonie
Nederland
ColombiaMexico
Sweden
Costa Rica
Uruguay
Panama
Argentina
Kenya Nigeria
Pakistan
Luxembourg
Romania
VenezuelaCzeck Rep.
Denmark
Norway
Take home 1: solid ground
Informational governance:
= Information management+
= ‘How to organize informing’
n.b. differs systematically across cultures:
Who: might vs right,
How: rules vs reality
Part 2, from micro to macro: CAS, self-organisation, emergence
Our social reality: “We do not intend the consequences of our actions”
Cristiano Castelfranchi, 2013
Individual intention
System consequence
10
Understanding Emergence is among INF aims
Social Simulation
● Non-linearity, emergence (= self-organization)
● Operationalizing social scientific theory
● Can be used on informational governance
Modelling social reality
NIAS-Lorentz Theme Group
Sep 2013 – Jan 2014 (www.nias.nl)
Lorentz workshop January 2014 (www.lorentzcenter.nl)
Case: glass ceiling for girls
Method: agent-based models of playground
Conclusion: emergence > nurture > nature
Select method
Methodological asideBegin study
End study
Com-plex?
Adap-tive?
ABM (agents perceive others /
environment
Draw conclusions ,
publish
Run model,
sensitivity analysis
Validate system
behaviour
Validate agents
Development psychology
studies
CASMethod-ology
yes
yes
Example: Playground model 2014 (resulting from NIAS fellowship)
RQ: What causes gender status differences?
‘Nature’: Girls’ vs boys’
●Beauty
●Kindness
●fighting power
‘Nurture’:
● (Dyad: Rough and tumble)
●Category: Sex-difference-on-conferral
●All: Culture (‘masculinity’: group condones fighting)
Emergence?
Interface
Effect of nature (kindness, power); & culture
Process:
20.000 runs
Behav space
.cvs
Excel transpose
(or table output)
SPSS
Gender status gap
Emergent effects: group and culture
18
Take home 2: potential for CAS methods
Generic social science can be used in ABM
●To simulate realistic motives
Experimental findings can be used for specifics
●Gender difference studies
●Informational governance
We are just getting started...
