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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
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InformationalGovernanceand micro-macro links Gert Jan Hofstede, INF group
The message 1.Informational governance is data management in context • That means people management • It inheritsfromgroupbehaviour... • ...which is strongly culture-driven 2. Informationalgovernanceinvolvesself-organization • Thatcanbe ‘grown’ using agent-basedmodelling (ABM) • cf. the WU IP/OP themeComplex 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) • “Transparencyof a netchain is the extent to which all the netchain’sstakeholders 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. • anne.hari@reedbusiness.com
Future state (Meat Information on Provenance in FIspace) Services: discovery / search / smartphone apps tracking EPCIS Repository EPCIS Repository EPCIS Repository EPCIS Repository FMS ERP ERP ERP tracing at farm at abattoir /at food processer Wholesale / Retail labelling slaughtering deboning cutting packaging breeding fattening c.o. sjaak.wolfert@wur.nl
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
Models of organisation weak Denmark Singapore Sweden family Great Britain China United States market Norway India Nederland Switzerland Ge Nigeria Kenya Uncertainty avoidance Pakistan Germany Switzerland Fr Luxembourg Czeck Rep. Venezuela Italy Austria Brazil Panama Colombia Argentina Romania Mexico Israel Costa Rica France machine Russia Japan Wallonie Vlaanderen Poland pyramid strong Uruguay small Power distance large
Take home 1: solidground • Informationalgovernance: = Information management+ = ‘How toorganizeinforming’ n.b.differssystematicallyacross cultures: Who: mightvs right, How: rulesvsreality
Part 2, from micro to macro: CAS, self-organisation, emergence Oursocialreality: “We do notintend the consequences of our actions” CristianoCastelfranchi, 2013 Individualintention Systemconsequence
Understanding Emergence is among INF aims Social Simulation • Non-linearity, emergence (= self-organization) • Operationalizing social scientific theory • Can be used on informational governance
ModellingsocialrealityNIAS-Lorentz Theme Group • Sep 2013 – Jan 2014 (www.nias.nl) • Lorentz workshop January 2014 (www.lorentzcenter.nl) • Case: glassceilingfor girls • Method: agent-basedmodels of playground • Conclusion: emergence > nurture > nature
Methodologicalaside Select method Begin study Com-plex? yes Adap-tive? yes ABM (agents perceive others / environment CAS Method-ology Run model, sensitivity analysis Development psychology studies Validate system behaviour Validate agents Draw conclusions , publish End study
Example: Playground model 2014 (resultingfrom NIAS fellowship) • RQ: Whatcauses gender status differences? • ‘Nature’: Girls’ vs boys’ • Beauty • Kindness • fighting power • ‘Nurture’: • (Dyad: Roughandtumble) • Category: Sex-difference-on-conferral • All: Culture (‘masculinity’: groupcondonesfighting) • Emergence?
Effect of nature (kindness, power); & culture Process: • 20.000 runs • Behavspace • .cvs • Excel transpose • (or table output) • SPSS Gender status gap
Take home 2: potentialfor CAS methods • Generic social science can be used in ABM • Tosimulaterealisticmotives • Experimental findings can be used for specifics • Gender difference studies • Informationalgovernance • We are justgettingstarted...