Why > how > what

Nice presentation of Simon Sinek, about convincing and beliefs. Although I do not find scientific research supporting some of his suggestive quotes:

The part of the brain that controls decisionmaking, doesn’t control language.

… and:

People don’t buy what you do but why you do it.

This is one of many blogposts refering to Sinek’s TED talk, however I am not an early adopter of his beliefs. I want to believe…

lego_x_files

… but I am not sure whether Sinek sells his beliefs or his book in this movieclip.

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Towards effective strategies

Daamen uses a number of models in his study Strategy as force (2010), about providing a useful understanding of the strategies behind urban development project strategy. One of them a I agree with on the quadrant level, alhough it’s 8 segments are questionable.

daamen-model

What I do like are his examples and explanations about shifting strategies and strategy dynamics.

daamen_timeline

Also interesting is the approach of Actor orientations (Scharpf, 1997), describing that ‘specific combinations of knowledge and ignorance tend to be shared among the actors’. Like most other research, this study does not describe exactly how this model will help groups in real time.

daamen_scharpf

Note that the elements of role-specific preferences are different from Aizen’s model about beliefs, intentions and behavior. I argue that a shared perspective is more effective when the basics (intentions / beliefs) are shared, in order to overcome loyalty related ambiguities of a coorperation in complex situations.

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Sensemaking in a complex world

Kurtz and Snowden contribute to the insights and interdependence between organizational learning and networks, with this article called Bramble bushes in a thicket (2007).

A nice explanation of naturalistic approach (emphasizing the inherent un-knowability where people seek to understand a sufficiency of the present) and idealistic approach (privileging expert knowledge, where leaders set out an ideal future state). Details in this clarifying slidedeck stating:

Two of the most important elements of the naturalistic sense-making approach are: narrative and networks.

Especially the paragraph about Inter-organizational networks and productive conflict offers insights I correlate with. Here’s two quotes:

Inter-organisational networks help organisations improve productive conflict within their boundaries in two ways: first, by increasing the productive conflict experienced by groups and individuals of the organisation who are in contact with the outside network, and second, by making each internal group’s norms for conflict management more visible in comparison. It does not seem that much work has been done specifically on the types and natures of conflict in inter-organisational networks to date. Certainly there has been discussion of how conflicts of interest can arise between partners in business ventures, but there has not been strong attention to how inter- and intra-group conflict plays out in inter-organisational learning networks.

Holmquist (2003) makes the case that learning in intra-organisational and inter-organisational networks is intermingled and that conflict is a critical ingredient in this intermingling: “The explorative character of much interorganizational learning does not occur by itself; it occurs as a result of a confrontation and a combination of single organizations’ experiences.” He also makes the point that because inter-organisational networks typically have a less centralised structure than the organisations themselves, employees who participate in such networks are exposed to “conflicts and instability as a result of the lack of formal authority”, which can increase productive conflict within their own organisation. All of these signs point to the utility of inter-organisational networks as a source of not only new knowledge but also of productive conflict that improves the organisation’s ability to reinvent itself from within.

I love this metaphore of the bramble (desire-difficulty / cooperation-competition):

bramble_bald00513a

 

Organizations (and the individuals that make them up) are much like “bramble bushes in a thicket”, and the nature of their many interacting and co-evolving identities is self-similar as well as deeply contextual and ambiguous.

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Interactive knowledge matchmaking

This article of Forsén, Lundin and Löwgren describes a conceptual design study towards a visual ‘front end’ of a knowledge system for large organisations. Explaining video here and interactive demo here (eat that, facebook & linkedin!).

pinpoint_02_person_closeup

pinpoint_04_tag_filter

Nice graphics. I like the idea of the ‘random people generator’ and I am courious about the impact. Nice touch that you can switch other/random people into the center of your search…

As pointed out on their website:

To summarize, all participants wanted the real system and claimed that they would use it if it was deployed.

I wonder how IKEA makes all employees fill in and update their profiles…

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Stakeholder mapping

In this article about ‘Influence, stakeholder mapping and visualization’, Walker, Shelley and Bourne describe two methods for visualizing stakeholders. One metaphorical, one abstract, both aimed at (1) defining risks and (2) engagement with potentially supportive stakeholders. The more abstract tool basically helps identifying and describing (a) the scale, and scope of the influence and (b) the degree of the impact. The metaphorical tool basically helps identifying stereotypical charcteristics.

Most important lesson: these tools seem to help engage the group dialogue, although it stays a bit foggy exactly how and to what extent visualizing a stakeholder map makes an impact to group behavior.

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Johari window

Very similar to one of my early proposals of group mapping and visualization …

screenshot-demo_007-argentini-pino-berlusconi original post

… I’ve found an visualization approach, called the Johari window. It uses a set of adjectives that all members of a group use to describe / score each other. I’ve used an online johari tool, filled in testdata about myself (pljvp) and let 2 ‘others’ (pljvp1 & pljvp2) score my data as well. Here’s the result

Arena

(known to self and others)

searching, sympathetic, trustworthy

Blind Spot

(known only to others)

complex, friendly, giving, happy, patient, relaxed, self-assertive

Façade

(known only to self)

intelligent, self-conscious

Unknown

(known to nobody)

able, accepting, adaptable, bold, brave, calm, caring, cheerful, clever, confident, dependable, dignified, energetic, extroverted, helpful, idealistic, independent, ingenious, introverted, kind, knowledgeable, logical, loving, mature, modest, nervous, observant, organised, powerful, proud, quiet, reflective, religious, responsive, sensible, sentimental, shy, silly, spontaneous, tense, warm, wise, witty

All Percentages
able (0%) accepting (0%) adaptable (0%) bold (0%) brave (0%) calm (0%) caring (0%) cheerful (0%) clever (0%) complex (50%) confident (0%) dependable (0%) dignified (0%) energetic (0%) extroverted (0%) friendly (50%) giving (50%) happy (50%) helpful (0%) idealistic (0%) independent (0%) ingenious (0%) intelligent (0%) introverted (0%) kind (0%) knowledgeable (0%) logical (0%) loving (0%) mature (0%) modest (0%) nervous (0%) observant (0%) organised (0%) patient (50%) powerful (0%) proud (0%) quiet (0%) reflective (0%) relaxed (50%) religious (0%) responsive (0%) searching (50%) self-assertive (50%) self-conscious (0%) sensible (0%) sentimental (0%) shy (0%) silly (0%) spontaneous (0%) sympathetic (50%) tense (0%) trustworthy (50%) warm (0%) wise (0%) witty (0%)

Created by the Interactive Johari Window on 6.8.2011, using data from 2 respondents.
You can make your own Johari Window, or view pljvp’s full data.

 

The johari window maps the attributes and shows how people think of me and how I think about others. As others judged me, I could judge others as well.

The first difference to my own approach is that I used a small set of words (from a 3Dimensional model) and let people map each others pictures on it, instead of using a big set of words to cluster these into a 2D grid. So Johari creates cluster attitudes per person whereas my own approach creates a stacked overview of a users, for a smaller set of attributes.
Second, Johari used datacollection through a selection of key words, whereas I used a slide on which pictures could be arranged. We can suggest that both tools could use interview techniques, combined with word counting or labeling methods as well.
Third, as this wiki article suggests, the Johari window indeed ‘seems closely related’ to Myers-Briggs Type Indicator, both enabling people to better understand themselves and their position, in order to make better decisions. However I am looking for a visualization that can create an impact on group behavior, focussing on expressing and debating (shifts in) perceived attributes like e.g. loyalty to a group level. A visualization that helps groups come straight to the point and does not necessarily need support from professional or time consuming interview techniques. The dialogue should come after the visualization, focussed on the problem and enabling people. Not before.

Of course, the Johari window  can also be used offline, i.e. like a classic board game with textcards. Althoigh I must say I’m really charmed by the simplicity of Kevan Davis’ online example and impressed with both his website and his twitter picture! Nice add on: a nogari version with failing orriented, negative attributions / keywords:

nogari

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Hollywood’s group behavior

Tuckmann’s stages of forming-storming-norming-performing-adjourning are nicely explained through this re-cut of Remember the titans.

The stages in plain english: whoop there’s a group – we oversteer – we balance out – we do our stuff – we leave.

Looking forward to intergroup relations, I am trying to reset my thoughts about movies like Transformers (2007) and StarTrek (2009), recognizing the small groups now, together with re-priorizing loyalties and constant balancing of sovereignties. Loyalties and sovereignties seem to carefully switch between protagonists and antagonists,·between humans and even inanimate objects, within the dimensions of place, time and decision making unit (on individual, team, group and GROUP levels).
Of course, these are made up storylines and pre-fabricated group behavior. Nevertheless they’ve originated from a human perspective, assuming JJ Abrams and his colleages don’t use an army of typing monkeys when taking hold of us and trying to max out our attention spans.

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Neural bases of cooperation and competition

Decety et al. wrote a very intersting article, comparing cooperation and competition using brain scans.

Cooperation and competition are two basic modes of social cognition that necessitate monitoring of both one’s own and others’ actions, as well as adopting a specific mental set.

They demonstrate that for both modes two identical parts are active: (1) a network serving executive functions which enables flexible behavior and (2) a part involved in the sense of agency, that is ‘the feeling that we are the cause of our actions and their consequences’. This latter part:

is shown to play a role in the integration of emotion and behavior.

Both parts play a crucial role during social relations:

… both cooperation and competition involve anticipating the behavior of one’s social partner, which relies heavily on ‘‘mentalizing,’’

Moreover, 

… distinct regions were found to be selectively associated with cooperation and competition…

They argue -within a context of 1 self and 1 other- that cooperation is a more socially rewarding process, backed by ample evidence from evolutionary and developmental psychology (no sources, but we get the point). Another difference is the suggestion that self-other merging is greater in cooperation conditions.
Further on Decety et al. state that:

Adopting a competitive stance requires a {stronger} mentalizing component to maintain both self and other perspectives of the game and therefore, we hypothesize, requires the computing resources of the medial prefrontal cortex.

What does this research mean to group behavior? It helps us to define group behavior.
First of all, without individual motivation, intention and behavior nor group competition nor group cooperation will exist. Or won’t it? Take some grass on a sand dune. They will ‘compete’ for space and water (with each other and other species), and they will ‘cooperate’ making the dune resistant to wind. They have not really a motivation, intention or individual behavior, although the physical nature of the tussocks of grass seems to imply ‘human’ charcteristics. We seem to descibe group behavior with the same attributes as we use to describe individual behavior. Not sure yet how to deal with this. Let’s park it for now.

Second, let’s look closer at the ‘sense of agency’. When I type these words using my fingers, knowing I move them is an example of sense of agency (SA). Knowing these are indeed my fingers, is a sense of ownership (SO). Normally these senses are intertwined. Schizoprenic people have no integrated SA & SO: 

… the schizophrenic patient has a sense of ownership, but not a sense of agency (source)

Knowing this and reading back on this previous post, we could hypothesize that all group cooperations are -in a way- schizophrenic.

Third, taking the social reward of cooperation into account, what does that mean to the concept of differentiation on time, place and decision making unit? In other words, what does it mean to loyalty within and between groups.

coopcomp2

Apparently different cooperative relations at the same time result in competition between those cooperative relations. We can say there is lively rivalry between social rewards. Time for a break to try and become truely aware of this other level.

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