Innovation and institutional change: the transition to a sustainable ...
Innovation and institutional change: the transition to a sustainable ... Innovation and institutional change: the transition to a sustainable ...
Theoretical perspectives 21 organisation 2 . This yields to, what Hughes referred to as, momentum of the technological system, a certain orientation of technological and social developments that fosters further growth of the system. Aspects such as sunk costs, fixed assets and vested interests also add to system momentum (Hughes, 1987: 77). An example of an orientation contributing to momentum in the electricity system has been the search for ways to increase the load factor of the system 3 through the shaping of societal demand for electricity in off-peak periods 4 . Crucial for the continuous expansion of large technical systems is how efforts are collectively mobilised to overcome reverse salients: critical problems for the further development of the system. In Hughes’ analysis especially the role of system builders is crucial in the articulation of these critical problems and in the alignment of actors in the process of solving the reverse salients. The focus was also on the way the system was shaped by social forces, such as through the acceptance of monopoly organisation as a natural organisational form for electricity systems. Cultural and institutional differences also explain the divergence in electricity systems across nations despite the application of similar technologies, or in Hughes’ words: “technical problems are sometimes in essence institutional and value conflicts” (Hughes, 1983: 462). The analysis of Hughes shows how activities in different dimensions (politics, technology, industry) became directed towards further expansion and optimization of the electricity system, but also how differences in societal contexts (USA, UK, and Germany) shaped patterns of interaction between those dimensions and led to rather diverse systems. Following Hughes’ approach, a stream of work focusing on large technical systems has emerged that shares the focus on the way social and technical elements are interwoven and actors are guided by principles that shape a certain stability of the system (Mayntz and Hughes, 1988; Summerton, 1994). In this more recent work Hughes’ focus on understanding system momentum and stability is increasingly complemented by a focus on understanding processes of reconfiguration and change in large technical systems. One of the key aspects is how “previously achieved closure is undone” (Summerton, 1994: 5). Closure refers to dominance of a specific interpretation about the way a system should function, leading to disregard 2 Hirsh (1999) analyses how consensus regarding utility organisation was established in the United States in the early twentieth century, and how corrosion of this consensus took place from the 1970s onward. 3 Load factor refers to the rate of utilised capacity of the electricity generating units in the system. The load factor initially was rather low, as electricity demand tended to cluster around certain periods (peaks) and was much lower in other periods. 4 Nye (1990) provides an elaborate and interesting account of this process of electrification in the early stages of the electricity system in the United States.
22 Chapter 2 of alternative views of outsiders. “Closure in technology involves the stabilization of an artifact and the ‘disappearance’ of problems” (Pinch and Bijker, 1987: 44). It refers to actors developing belief systems that are aligned to the components, principles and design of the technological system. Examples are the belief that the electricity system is a case of natural monopoly, and the belief that central electricity generation is superior to decentral forms of generation (Hirsh, 1999; Verbong, 2000; Hofman and Marquart, 2001). Strong points of the large technical system approach are the way it is able to unravel core coordinating mechanisms and guiding principles within emerging systems and the way their emergence and application co-evolved with political and institutional processes. Hughes’ focus is however foremost on the way large technical systems expand and gain momentum, and much less on the way systems may be fundamentally changed, transformed, or replaced. National systems of innovation approach The large technical systems approach focuses more on interaction processes within technological systems than on broader processes of societal and institutional change that influence and interact with patterns of change in technical systems. The national systems of innovation (NSI) approach is more concerned with the way specific institutional set-ups influence patterns of innovation throughout the economy. As interactive learning is perceived as crucial in innovative processes one of the foci to what extent the institutional set-up facilitates this, especially through processes where interaction between various actors is essential to realise exchange, transfer and use of knowledge (Freeman, 1987; Lundvall, 1988; 1992, 2002; Nelson, 1993). Freeman pointed out the importance of institutional factors in his study of Japan as a then fast rising industrial power, and stressed the importance of the strong government-business relationships and of managerial and organisational forms such as the just-in-time concept (Freeman, 1987). Crucial for the success of Japan’s economic growth has been the ability to organise, mobilise, and direct efforts of a range of actors such as industries, research institutes, educational organisations and financial institutes along strategic visions set out by government in interaction with research institutes and industries (Freeman, 1988). Lundvall stressed the importance of interactive learning, for example between users and producers (1988), and focused on elements such as trust (and the formal institutions behind it) and mechanisms of exchange of tacit knowledge (based on skills, experience, and routines) in innovation processes (1992, 2002). Nelson has also shifted from an evolutionary to a more co-evolutionaray approach and emphasised the importance of “institutional structures in supporting and
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22 Chapter 2<br />
of alternative views of outsiders. “Closure in technology involves <strong>the</strong><br />
stabilization of an artifact <strong>and</strong> <strong>the</strong> ‘disappearance’ of problems” (Pinch <strong>and</strong><br />
Bijker, 1987: 44). It refers <strong>to</strong> ac<strong>to</strong>rs developing belief systems that are<br />
aligned <strong>to</strong> <strong>the</strong> components, principles <strong>and</strong> design of <strong>the</strong> technological<br />
system. Examples are <strong>the</strong> belief that <strong>the</strong> electricity system is a case of natural<br />
monopoly, <strong>and</strong> <strong>the</strong> belief that central electricity generation is superior <strong>to</strong><br />
decentral forms of generation (Hirsh, 1999; Verbong, 2000; Hofman <strong>and</strong><br />
Marquart, 2001).<br />
Strong points of <strong>the</strong> large technical system approach are <strong>the</strong> way it is able <strong>to</strong><br />
unravel core coordinating mechanisms <strong>and</strong> guiding principles within<br />
emerging systems <strong>and</strong> <strong>the</strong> way <strong>the</strong>ir emergence <strong>and</strong> application co-evolved<br />
with political <strong>and</strong> <strong>institutional</strong> processes. Hughes’ focus is however foremost<br />
on <strong>the</strong> way large technical systems exp<strong>and</strong> <strong>and</strong> gain momentum, <strong>and</strong> much<br />
less on <strong>the</strong> way systems may be fundamentally <strong>change</strong>d, transformed, or<br />
replaced.<br />
National systems of innovation approach<br />
The large technical systems approach focuses more on interaction processes<br />
within technological systems than on broader processes of societal <strong>and</strong><br />
<strong>institutional</strong> <strong>change</strong> that influence <strong>and</strong> interact with patterns of <strong>change</strong> in<br />
technical systems. The national systems of innovation (NSI) approach is<br />
more concerned with <strong>the</strong> way specific <strong>institutional</strong> set-ups influence patterns<br />
of innovation throughout <strong>the</strong> economy. As interactive learning is perceived<br />
as crucial in innovative processes one of <strong>the</strong> foci <strong>to</strong> what extent <strong>the</strong><br />
<strong>institutional</strong> set-up facilitates this, especially through processes where<br />
interaction between various ac<strong>to</strong>rs is essential <strong>to</strong> realise ex<strong>change</strong>, transfer<br />
<strong>and</strong> use of knowledge (Freeman, 1987; Lundvall, 1988; 1992, 2002; Nelson,<br />
1993). Freeman pointed out <strong>the</strong> importance of <strong>institutional</strong> fac<strong>to</strong>rs in his<br />
study of Japan as a <strong>the</strong>n fast rising industrial power, <strong>and</strong> stressed <strong>the</strong><br />
importance of <strong>the</strong> strong government-business relationships <strong>and</strong> of<br />
managerial <strong>and</strong> organisational forms such as <strong>the</strong> just-in-time concept<br />
(Freeman, 1987). Crucial for <strong>the</strong> success of Japan’s economic growth has<br />
been <strong>the</strong> ability <strong>to</strong> organise, mobilise, <strong>and</strong> direct efforts of a range of ac<strong>to</strong>rs<br />
such as industries, research institutes, educational organisations <strong>and</strong> financial<br />
institutes along strategic visions set out by government in interaction with<br />
research institutes <strong>and</strong> industries (Freeman, 1988). Lundvall stressed <strong>the</strong><br />
importance of interactive learning, for example between users <strong>and</strong> producers<br />
(1988), <strong>and</strong> focused on elements such as trust (<strong>and</strong> <strong>the</strong> formal institutions<br />
behind it) <strong>and</strong> mechanisms of ex<strong>change</strong> of tacit knowledge (based on skills,<br />
experience, <strong>and</strong> routines) in innovation processes (1992, 2002). Nelson has<br />
also shifted from an evolutionary <strong>to</strong> a more co-evolutionaray approach <strong>and</strong><br />
emphasised <strong>the</strong> importance of “<strong>institutional</strong> structures in supporting <strong>and</strong>