The full identity systemic model
Seven years ago, in my book Identidad Completa (2010), I introduced a systemic model named the Full Identity (FI), applied to organizational learning and transformation. Full identity sets that any human system –individual, team and large system- behaves under the influence of feminine-matriarchal patterns and masculine-patriarchal ones; whether system members are conscious or not this is another story.
FI model is based on a combination of field experience and bibliographic research. The field comes from years of executive coaching, team coaching an intercultural experience. The bibliography comes from imaginary anthropology and gender studies. FI is also my singular way to explore the collective intelligence, a sort of phantom concept we hear about a lot in business…but never see. I have to say that according to imaginary and gender research, there is a difference between gender and sex. Many people either reject or do not understand this hypothesis about differentiating gender and sex…maybe another phantom idea…maybe a resistance due to our mental model.
The FI model assumptions
The first assumption sets the antagonistic relationship between the two patterns: feminine-matriarchal and masculine-patriarchal. When a pattern becomes official (dominant) in the system in terms of influencing attitudes, behaviours, habits or corporate policies, the antagonistic pattern can be observed as symptom. As an example, when an organization becomes too much competitive, demanding, performance oriented, oppressive and vertical (masculine-patriarchal), people show symptoms in form of rumors, stress, boycott and relationship violence (i.e. humiliation, harassment, threat). On the opposite side, when the organization becomes too much social, friendly, caring, protective, easy going, inclusive, tolerant, mystic, patient, slow driven (feminine-matriarchal), people show symptoms of annoy, sadness, mysticism, dispersion and a sort of frustration due to lack of challenge.
The second assumption sets the importance for people to access to shared purpose or shared meaning. Both require inclusion and co-creation, both reduce people anxiety and uncertainty, and increase people commitment. System change implies building a shared understanding and exploration about what behaviours and mental models require to be re-assessed (i.e. which ones need to be abandon and which ones to be reinforced). Systemic crisis may happen when the dominant pattern is unable to provide, not just shared meaning to system members, but also sustainable results for teams and for the large system. As an example, the recent economic crisis represents the failure of the neo-liberal ideology to provide shared purpose to millions of citizens. On the antagonistic side, the collaborative or social economy represents a pattern reversion; digital collaborative technology behaves here as enabler.
The third assumption sets the importance of combining patterns, which means combining combative and collaborative leadership processes or, as Adam Kahane says, combining power and love, vertical execution and horizontal coordination, individual performance and team cohesion, divergent scenario exploration and convergent operating decisions, etc. Adaptive complexity derives from this assumption; adaptive complexity is connected to the way the system learns whether at individual, team or large system level, but also connected to the way the system deploys natural resistance to most of the learning initiatives.
I´m very glad my SOL colleagues, Marion Chapsal and Ken Homer, are exploring the gender field to support system learning and transformation. They will apply their model at the Madrid Collaborative Leadership Workshop this May.