Viable System Model: A theory for designing more responsive organisations

By Angela Espinosa

angela-espinosa
Angela Espinosa (biography)

How can communities, businesses, regions, and nations – which can all be thought of as organisations – be designed to be capable of dealing quickly and effectively with environmental fluidity and complexity?

The Viable System Model, often referred to as VSM, is a theory that posits that a complex organisation is more capable of responding to a changing and unpredictable environment, if it is:

  • composed of autonomous, effective, and agile subsidiary organisations,
  • highly connected to each other, and
  • cohesively operating with shared ethos, purpose, processes, and technologies

A complex organisation therefore has multiple levels of nested organisations, each adhering to these principles.

The building blocks of the Viable System Model are five interconnected systems.

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Understanding diversity primer: 5. Values

By Gabriele Bammer

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How can differences in values be understood? How do differences in values affect research on complex societal and environmental problems, especially how problems are framed, understood and responded to, as well as how well those contributing to the research work together?

Ten basic personal values

Shalom Schwartz’s theory of basic values (2012) identifies ten broad personal values, which are differentiated by their underlying goal or motivation, as described in the table below. These values seem to be culturally robust.

Overall, each value helps humans cope with one or more of three requirements of existence, namely the needs of:

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Understanding values: Schwartz theory of basic values

By Shalom H. Schwartz

shalom-schwartz
Shalom H. Schwartz (biography)

Why are values important for tackling complex societal and environmental problems? Can personal values that are robust across cultures be identified? Can these personal values help explain conflicts in values?

Six main features of values

All values have six features in common and these illustrate why values are important in researching and acting on complex problems.

1. Values are beliefs linked inextricably to affect. When values are activated, they become infused with feeling.

2. Values refer to desirable goals that motivate action.

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Four building blocks of systems thinking

By Derek Cabrera and Laura Cabrera

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1. Derek Cabrera (biography)
2. Laura Cabrera (biography)

Systems thinking itself is a complex adaptive system. Supported by empirical evidence, DSRP theory describes 4 simple rules that dynamically combine to explain the complexity of physical, natural, and social systems. Awareness of these patterns can help us to solve many societal and environmental problems.

We briefly present DSRP theory which describes four universal patterns and their underlying elements—identity (i) and other (o) for Distinctions (D), part (p) and whole (w) for Systems (S), action (a) and reaction (r) for Relationships (R), and point (p) and view (v) for Perspectives (P).

We describe these four building blocks and show how they can be mixed and matched. We conclude with some additional key aspects of the theory.

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Boosting the transformative power of transdisciplinarity with quantum theory

By Cyrille Rigolot

cyrille-rigolot
Cyrille Rigolot (biography)

How can transdisciplinarity improve its ability to foster very deep, very fast and very large transformations toward sustainability?

Quantum theory might be a major source of insights in that direction. Although quantum theory is not new to transdisciplinarity, lately it has become much more accessible, practical, and potentially transformative on the ground.

Quantum theory for transdisciplinarity research

In the debates last century about the emerging transdisciplinary research field, quantum theory inspired theorist Basarab Nicolescu to develop three basic ‘axioms’, which he argues should be recognized at the core of transdisciplinarity research, namely:

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Systems transdisciplinarity as a metadiscipline

By Vladimir Mokiy

author_vladimir-mokiy
Vladimir Mokiy (biography)

In 1990, specialists from the Russian School of Transdisciplinarity began to develop the type of systems transdisciplinarity proposed by Erich Jantsch in 1972. He argued for the coordination of all disciplines and interdisciplines in the education and innovation system on the basis of a generalized axiomatic and an emerging epistemological pattern.

Since this approach has a philosophical rationale, conceptual and methodological basis, and appropriate technological methods, it can be considered as an independent metadiscipline – systems transdisciplinarity.

Transdisciplinarity as a meta-discipline has the following basic attributes:

  • a meta-theory; and,
  • a meta-narrative.

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Managing innovation dilemmas: Info-gap theory

By Yakov Ben-Haim

Author - Yakov Ben-Haim
Yakov Ben-Haim (biography)

To use or not to use a new and promising but unfamiliar and hence uncertain innovation? That is the dilemma facing policy makers, engineers, social planners, entrepreneurs, physicians, parents, teachers, and just about everybody in their daily lives. There are new drugs, new energy sources, new foods, new manufacturing technologies, new toys, new pedagogical methods, new weapon systems, new home appliances and many other discoveries and inventions.

Furthermore, the innovation dilemma occurs even when a new technology is not actually involved.

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Managing uncertainty in decision making: What can we learn from economics?

By Siobhan Bourke and Emily Lancsar

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1. Siobhan Bourke (biography)
2. Emily Lancsar (biography)

How can researchers interested in complex societal and environmental problems best understand and deal with uncertainty, which is an inherent part of the world in which we live? Accidents happen, governments change, technological innovation occurs making some products and services obsolete, markets boom and inevitably go bust. How can uncertainty be managed when all possible outcomes of an action or decision cannot be known? In particular, are there lessons from the discipline of economics which have broader applicability?

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Transforming transdisciplinarity: Interweaving the philosophical with the pragmatic to move beyond either/or thinking

By Katie Ross and Cynthia Mitchell

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1. Katie Ross (biography)
2. Cynthia Mitchell (biography)

Can a dive into the philosophical depths of transdisciplinarity provide an orientation to the fundamental purpose and need for transdisciplinarity?

The earlier philosophers of transdisciplinarity – such as Erich Jantsch (1980), Basarab Nicolescu (2002), and Edgar Morin (2008) – all aim to stretch or transcend the dominant Western paradigm, which arises in part from Aristotle’s rules of good thought. Aristotle’s rules of good thought, or his epistemology, state essentially that to make meaning in the world, we must see in terms of difference; we must make sense in terms of black and white, or dualistic and reductive thinking.

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A guide for interdisciplinary researchers: Adding axiology alongside ontology and epistemology

By Peter Deane

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Peter Deane (biography)

Can philosophical insights be useful for interdisciplinary researchers in extending their thinking about the role of values and knowledge in research? More broadly, can a model or heuristic simplify some of the complexity in understanding how research works?

It’s common for interdisciplinary researchers to consider ontology and epistemology, two major arms of philosophical inquiry into human understanding, but axiology – a third major arm – is oft overlooked.

I start by describing axiology, then detail work by Michael Patterson and Daniel Williams (1998) who place axiology alongside ontology and epistemology. The outcome herein is to cautiously eject and then present a part of their work as a heuristic that may help interdisciplinary researchers to extend understanding on philosophical commitments that underlie research.

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Three schools of transformation thinking

By Uwe Schneidewind and Karoline Augenstein

authors_uwe-schneidewind_karoline-augenstein
1. Uwe Schneidewind (biography)
2. Karoline Augenstein (biography)

‘Transformation’ has become a buzzword in debates about sustainable development. But while the term has become very popular, it is often unclear what is meant exactly by ‘transformation’.

The fuzziness of the concept can be seen as a strength, giving it metaphoric power and facilitating inter- and transdisciplinary cooperation. However, this fuzziness means there is also a danger of the transformation debate being co-opted by powerful actors and used strategically to impede societal change towards more sustainable pathways.

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A guide to ontology, epistemology, and philosophical perspectives for interdisciplinary researchers

By Katie Moon and Deborah Blackman

katie-moon
Katie Moon (biography)

How can understanding philosophy improve our research? How can an understanding of what frames our research influence our choices? Do researchers’ personal thoughts and beliefs shape research design, outcomes and interpretation?

These questions are all important for social science research. Here we present a philosophical guide for scientists to assist in the production of effective social science (adapted from Moon and Blackman, 2014).

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