«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles,

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«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 KM-Master Course, 2004 INSEAD CALT – The Centre for Advanced Learning Technologies, Fontainebleau, France Thierry NABETH Module: Communautés virtuelles, Agents intelligents C2: People differences. Theories and consequences

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 People difference & implication People are different: –personality, motives, competence, cognitive style (learning style, working style), etc. Implications (individual perspective) –How people fulfil Roles and responsibilities, how they are motivated the individuals, dysfunction, etc.. Implications on groups & communities –Group dynamics (competitive or collaborative) –diffusion of knowledge, ideas and beliefs How to integrate people specificity in social digital environments?

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Psychological theories – Personality – Motivation – Age & experience – Cognitive styles – Gender – Etc. Theories about groups, communities & society – teams work – innovation diffusion – social epidemics – Etc. Some theories taking into account this difference

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Psychological theories An individual perspective. –How people behave individually –Has implication on the interaction with others Note: do people change over the time (biological or not?)? Some theories: – Personality theories (Big five, etc.) – Motivation theories (16 basic factors, by Reiss) – Age & Experience (Andragogy by Malcolm Knowles) – Learning styles (Learning Orientations Model, etc.) – Etc.

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Description – Proposed by Costa & McCrae – People behaviours depends on the value of 5 independent traits. Note: The traits are behavioural orientation since the context is also used when people act The 5 traits: – Extroversion (Sociable / Reserved) – Conscientiousness (Self-disciplined / Impulsive) – Emotional Stability (Self-Confident / Insecure) – Agreeableness (Sympathetic / Cold) – Openness to Experience (Curious / Unimaginative) Personality: Big Five

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Description – Proposed by Stephen Reiss (from statistical analysis) – People are motivated by 16 independent basic* desires. Note: * Basic means they do represent self satisfying desires The 16 desires: – Power, Independence, Curiosity, Acceptance – Order, Saving, Honour, Idealism – Social contact, Family, Status, Vengeance – Romance, Eating, Physical exercise, Tranquillity Motivation: 16 basic desires

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Description – Proposed by Malcolm Knowles – For Knowles, andragogy is premised on at least four (+1) crucial assumptions about the characteristics of adult learners that are different from the assumptions about child learners. The 5 assumptions: – Self-concept: more self-directed human being – Experience: accumulation a growing reservoir of experience that becomes an increasing resource for learning. – Readiness to learn. The readiness to learn becomes oriented increasingly to the developmental tasks of his social roles. – Orientation to learning. immediacy of application and problem centred (versus subject-centred). – Motivation to learn: the motivation to learn becomes internal Age & experience: Andragogy & adult learning

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Description – Proposed by several researcher and has its roots in Neurosciences. – The Learning Orientation Model highlights the whole-person perspective as it presents ranges for four learning orientations – It is based on a three-factor construct: Conative/Affective Aspects Strategic Planning and Committed Effort Learning Autonomy The four learning orientations: Transforming Learners Performing Learners Conforming Learners Resistant Learners Learning style: Learning orientation model

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Sociological, group theories A social & group perspective. –How people behave with others (role, leadership, etc.) –Implication on work, social network, etc. Some theories: – Forming performing teams (Belbin) – Innovation diffusion (Everett Rogers) – Social Epidemics (Malcolm Gladwell) – Etc.

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Description – Proposed by Meredith Belbin – A team role is defined as: “A tendency to behave, contribute and interrelate with others in a particular way.“ The eight roles individuals play in a team: –Plant (PL). –Resource investigator (RI). –Co-ordinator (CO) –Shaper (SH). –Monitor evaluator (ME). –Teamworker (TW). –Implementer (IM). –Completer (CP). Team role: Belbin theory

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Description – Proposed by Everett Rogers (originate from statistics ) – People are different related to their readyness to adopt innovation. Important related to social networking. The level of innovation: – Innovators (2.5%): venturesome, cosmopolite, networked with other innovators, financial resources, cope with uncertainty, …. – Early Adopters (13.5%): respectable, more local than innovators, strong opinion leadership. – Early Majority (34%): interact frequently with peers, rarely opinion leadership, long period of deliberation. – Late Majority (34%): adoption might result from economic/social necessity due to the diffusion effect, skeptical and cautious, …. – Laggards (16%): most localite, point of reference is the past, suspicious of change agents and innovations, few resources. Innovation diffusion: Everett Rogers theory

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Description – Proposed by Malcolm Gladwell (the tipping point) – Gladwell explains that the power to start idea epidemics rests with the few, influential beyond their meager numbers, who are connectors, mavens and salesmen. The influential people in spreading of ideas: – The Connector is someone who traffics in people, who has extraordinary social connections. – The Maven is someone who traffics in information. – The Salesman is someone who can win over those who are on the sidelines. Social epidemics: Malcolm Gladwell

«MASTER MANAGEMENT ET INGENIERIE ECONOMIQUE» Spécialité: Projet innovation conception, option gestion de la connaissance Module: Communautés virtuelles, Agents intelligents Thierry Nabeth, 2004 Integrating people specificity in social digital environments Elements. –Motivation, Autonomy, –Roles, –Translucence, (trust and reputation) –Personalization, –etc. Applications –Blogging, –virtual communities –wikis, –Forum, –Recommanders systems, Class discussion