Informational Governance and micro-macro links

Gert 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.

Future state (Meat Information on Provenance in FIspace)

Services: discovery / search / smartphone apps tracking

FMS EPCIS Repository breeding fattening

at farm

ERP EPCIS Repository ERP EPCIS Repository ERP EPCIS Repository

tracing labelling

slaughtering deboning cutting packaging

at abattoir /at food processer Wholesale / Retail

c.o. [email protected]

Transparency and micro-macro links Confide!

Good for all ...

Hide!

Good for me ...

Food chain: Micro-macro links  A chain of products is really a network of people • • • Transparency: History Operations Strategy

weak

Models of organisation

Denmark Sweden Singapore Great Britain United States Norway Switzerland Ge Nederland Uncertainty avoidance Austria Israel strong Kenya China India Nigeria Germany Luxembourg Pakistan Italy Switzerland Fr Czeck Rep.

Brazil Venezuela Panama Colombia Argentina Romania Costa Rica Japan Vlaanderen Wallonie Poland Russia Uruguay small Power distance - 8 large

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

Begin study Com plex?

yes Adap tive?

yes ABM (agents perceive others / environment Select method Methodological aside Run model, sensitivity analysis Validate agents Validate system behaviour Development psychology studies Draw conclusions , publish End study

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

Gender status gap

Process:  20.000 runs  Behav space  .cvs

 Excel transpose  (or table output)  SPSS

Emergent effects: group and culture

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...

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