White Spaces Innovation in Sweden - Innovation policy for ... - Vinnova

White Spaces Innovation in Sweden - Innovation policy for ... - Vinnova White Spaces Innovation in Sweden - Innovation policy for ... - Vinnova

13.07.2015 Views

WHITE SPACES INNOVATION IN SWEDENIn a recent report from the Australian Government (2007) discussing wicked problemsfrom a public policy perspective their properties are stated in the following ninepoints:Wicked problems are difficult to clearly defineWicked problems have many interdependencies and are often multi-causalAttempts to address wicked problems often lead to unforeseen consequencesWicked problems are often not stableWicked problems have no clear solutionWicked problems are socially complexWicked problems hardly ever sit conveniently with the responsibility of any oneorganisationWicked problems involve changing behaviourSome wicked problems are characterised by chronic policy failureWicked issues reflect prevailing and increasing social complexity, a key feature ofsocio-economic evolution. There are other forms of complexity as well. Innovation canalso be treated as a wicked problem and especially so if we talk about innovation toaddress grand societal challenges because then innovation is expected to have systemwideeffects.Complexity arises from the inter-relationship, inter-action and inter-connectivity ofelements within a system and between a system and its environment. Murray Gell-Mann["Complexity Vol. 1, No.5, 1995/96] traces the meaning to the root of the word. Plexusmeans braided or entwined, from which is derived complexus meaning braided together,and the English word "complex" is derived from the Latin. Complexity is thereforeassociated with the intricate inter-twining or inter-connectivity of elements within asystem and between a system and its environment.Another way of saying this is that complexity has to do with independence and interdependenceand from that perspective complexity is becoming of greater interestsince organizations, policy areas, the economy and society at large have to face increasingcomplexity. From an economic perspective independence is manifested in an ongoingspecialisation and a search for uniqueness in terms of what products and services tomarket. However, in a globalised world, interdependence is manifested in terms likevalue nets, „open innovation‟ and more broadly in social capital and relationships. Fromthe complexity perspective, the greater the variety in any complex adaptive system, thegreater the opportunity for novelty or innovation arising from knowledge recombinations.Hence, independence and specialisation are, from this perspective, sub-optimal.Complexity however does not argue for ever increasing interconnectivity, for highconnectivity implies a high degree of interdependence. This constrained (‟zero-sum‟)approach means that the greater the dependence between related systems or entities the22

WHITE SPACES INNOVATION IN SWEDENgreater the perturbation or disturbance of a move or action by any one entity on all theother related entities. Such a high degree of dependence rarely has beneficial effectsthroughout the whole ecosystem. Degree of connectivity is also associated with thequantity of information which flows between the connected entities and it may be arguedthat the higher the connectivity the greater the exchange of information. Yet, avery high rate in the flow of information is again found to be deleterious as it tends topush the system towards instability (Mitleton-Kelly).Thus we prefer a more „positive-sum‟ perspective. Accordingly, in full awareness ofthe above points the term „complexity‟ will be used within this report to refer to thetheories of complexity as applied to complex adaptive systems (CASA; Fig. 3.3). Theseare dynamic systems able to adapt and change within, or as part of, a changing environment.It is important however to note that there is no dichotomy between a systemand its environment in the sense that a system always adapts to a changing environment.The notion to be explored is rather that of a system closely linked with all otherrelated systems making up an ecosystem. Within such a context change needs to be seenin terms of co-evolution with all other related systems, rather than as adaptation to aseparate and distinct environment.It is the notion of co-evolution with, which will be examined in relation to the „innovationprocess‟ within the context of a co-evolving „social ecosystem‟. If the innovationprocess of any one organisation is seen as distinct and separate from all related businesses,which include suppliers, buyers and competitors, then strategy will always beseen as a „response to‟ the actions and decisions of those other entities. But if strategy(interpreted in this context as actions and decisions affecting the organisation and directionof the firm) is seen as a co-evolving process, then the perspective changes, and eachfirm is seen as a fully participating agent that both influences and is influenced by thesocial ecosystem made up of all related businesses, consumers and legislative bodies.2.2 Coping with complexityBoisot and Child (1999) argue that complex adaptive systems generally choose one oftwo responses to the complexity that confronts them. A complexity reduction responseinvolves developing a single representation of the variety in the environment and developinga singular adaptive response. Organizations that attempt to reduce complexityemphasize codification (specifying categories to which data are assigned) and abstraction(limiting the number of categories that need to be considered in the first place).Thus, managerial responses to complexity based on codification and abstraction wouldinclude minimizing the number of goals and strategic activities to be considered, formalizingand centralizing structural/decision making patterns, and minimizing the numberof interactions/connections necessary for decision making. This is in short to follow areductionist path. This approach is transaction oriented and builds on sharing codes.23

WHITE SPACES INNOVATION IN SWEDENgreater the perturbation or disturbance of a move or action by any one entity on all theother related entities. Such a high degree of dependence rarely has beneficial effectsthroughout the whole ecosystem. Degree of connectivity is also associated with thequantity of <strong>in</strong><strong>for</strong>mation which flows between the connected entities and it may be arguedthat the higher the connectivity the greater the exchange of <strong>in</strong><strong>for</strong>mation. Yet, avery high rate <strong>in</strong> the flow of <strong>in</strong><strong>for</strong>mation is aga<strong>in</strong> found to be deleterious as it tends topush the system towards <strong>in</strong>stability (Mitleton-Kelly).Thus we prefer a more „positive-sum‟ perspective. Accord<strong>in</strong>gly, <strong>in</strong> full awareness ofthe above po<strong>in</strong>ts the term „complexity‟ will be used with<strong>in</strong> this report to refer to thetheories of complexity as applied to complex adaptive systems (CASA; Fig. 3.3). Theseare dynamic systems able to adapt and change with<strong>in</strong>, or as part of, a chang<strong>in</strong>g environment.It is important however to note that there is no dichotomy between a systemand its environment <strong>in</strong> the sense that a system always adapts to a chang<strong>in</strong>g environment.The notion to be explored is rather that of a system closely l<strong>in</strong>ked with all otherrelated systems mak<strong>in</strong>g up an ecosystem. With<strong>in</strong> such a context change needs to be seen<strong>in</strong> terms of co-evolution with all other related systems, rather than as adaptation to aseparate and dist<strong>in</strong>ct environment.It is the notion of co-evolution with, which will be exam<strong>in</strong>ed <strong>in</strong> relation to the „<strong>in</strong>novationprocess‟ with<strong>in</strong> the context of a co-evolv<strong>in</strong>g „social ecosystem‟. If the <strong>in</strong>novationprocess of any one organisation is seen as dist<strong>in</strong>ct and separate from all related bus<strong>in</strong>esses,which <strong>in</strong>clude suppliers, buyers and competitors, then strategy will always beseen as a „response to‟ the actions and decisions of those other entities. But if strategy(<strong>in</strong>terpreted <strong>in</strong> this context as actions and decisions affect<strong>in</strong>g the organisation and directionof the firm) is seen as a co-evolv<strong>in</strong>g process, then the perspective changes, and eachfirm is seen as a fully participat<strong>in</strong>g agent that both <strong>in</strong>fluences and is <strong>in</strong>fluenced by thesocial ecosystem made up of all related bus<strong>in</strong>esses, consumers and legislative bodies.2.2 Cop<strong>in</strong>g with complexityBoisot and Child (1999) argue that complex adaptive systems generally choose one oftwo responses to the complexity that confronts them. A complexity reduction response<strong>in</strong>volves develop<strong>in</strong>g a s<strong>in</strong>gle representation of the variety <strong>in</strong> the environment and develop<strong>in</strong>ga s<strong>in</strong>gular adaptive response. Organizations that attempt to reduce complexityemphasize codification (specify<strong>in</strong>g categories to which data are assigned) and abstraction(limit<strong>in</strong>g the number of categories that need to be considered <strong>in</strong> the first place).Thus, managerial responses to complexity based on codification and abstraction would<strong>in</strong>clude m<strong>in</strong>imiz<strong>in</strong>g the number of goals and strategic activities to be considered, <strong>for</strong>maliz<strong>in</strong>gand centraliz<strong>in</strong>g structural/decision mak<strong>in</strong>g patterns, and m<strong>in</strong>imiz<strong>in</strong>g the numberof <strong>in</strong>teractions/connections necessary <strong>for</strong> decision mak<strong>in</strong>g. This is <strong>in</strong> short to follow areductionist path. This approach is transaction oriented and builds on shar<strong>in</strong>g codes.23

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