Decisions of technology innovation: the role of indicators

This work presents research conducted to understand the role of indicators in decisions of technology innovation. A gap was detected in the literature of innovation and technology assessment about the use and influence of indicators in this type of decision. It was important to address this gap because indicators are often frequent elements of innovation and technology assessment studies. The research was designed to determine the extent of the use and influence of indicators in decisions of technology innovation, to characterize the role of indicators in these decisions, and to understand how indicators are used in these decisions. The latter involved the test of four possible explanatory factors: the type and phase of decision, and the context and process of construction of evidence. Furthermore, it focused on three Portuguese innovation groups: public researchers, business R&D&I leaders and policymakers. The research used a combination of methods to collect quantitative and qualitative information, such as surveys, case studies and social network analysis. This research concluded that the use of indicators is different from their influence in decisions of technology innovation. In fact, there is a high use of indicators in these decisions, but lower and differentiated differences in their influence in each innovation group. This suggests that political-behavioural methods are also involved in the decisions to different degrees. The main social influences in the decisions came mostly from hierarchies, knowledge-based contacts and users. Furthermore, the research established that indicators played mostly symbolic roles in decisions of policymakers and business R&D&I leaders, although their role with researchers was more differentiated. Indicators were also described as helpful instruments to conduct a reasonable interpretation of data and to balance options in innovation and technology assessments studies, in particular when contextualised, described in detail and with discussion upon the options made. Results suggest that there are four main explanatory factors for the role of indicators in these decisions: First, the type of decision appears to be a factor to consider when explaining the role of indicators. In fact, each type of decision had different influences on the way indicators are used, and each type of decision used different types of indicators. Results for policy-making were particularly different from decisions of acquisition and development of products/technology. Second, the phase of the decision can help to understand the role indicators play in these decisions. Results distinguished between two phases detected in all decisions – before and after the decision – as well as two other phases that can be used to complement the decision process and where indicators can be involved. Third, the context of decision is an important factor to consider when explaining the way indicators are taken into consideration in policy decisions. In fact, the role of indicators can be influenced by the particular context of the decision maker, in which all types of evidence can be selected or downplayed. More importantly, the use of persuasive analytical evidence appears to be related with the dispute existent in the policy context. Fourth and last, the process of construction of evidence is a factor to consider when explaining the way indicators are involved in these decisions. In fact, indicators and other evidence were brought to the decision processes according to their availability and capacity to support the different arguments and interests of the actors and stakeholders. In one case, an indicator lost much persuasion strength with the controversies that it went through during the decision process. Therefore, it can be argued that the use of indicators is high but not very influential; their role is mostly symbolic to policymakers and business decisions, but varies among researchers. The role of indicators in these decisions depends on the type and phase of the decision and the context and process of construction of evidence. The latter two are related to the particular context of each decision maker, the existence of elements of dispute and controversies that influence the way indicators are introduced in the decision-making process

The 'creative factory': an innovation systems model using a systems thinking approach

The author has designed, developed and applied, employing a system dynamics approach, a new innovation system concept - the Creative Factory - in order to communicate innovation theory to the different actors in the system using a common perspective and to reveal the complexity of innovation systems. Furthermore, the model aims to create a dynamic framework that can be used to analyse and assess the innovation activity of a firm against best practice and to illustrate, through simulation, the short and long-term influences of managers' decisions or external factors on innovation outcomes and between the different factors in the system. The concept has at its centre the firm's knowledge creation, the new product design and development process and the competencies that separate successes from failures. These core elements are affected by other business activities of the firm such as the corporate strategy, the risk taking policy and the organisational structure. Additionally, it is influenced by the National Innovation Environment within which the firm operates. The creative factory model has been used in this project as an assessment tool in three different firms. Then, action-scenarios are simulated, which demonstrate how to improve and control the innovation activity of these three firms. Additionally, the author designed scenarios in order to demonstrate the effects of external influences on the innovation activity of the firms. Studying the results of the creative factory's simulation, the interconnection between the elements of an innovation system is illustrated. The need for capital investment in research in parallel with organisational improvements is shown to be a key factor for the success of the innovation process. The importance of the early stages of the new product design and development process in the overall performance of a firm is demonstrated. Finally, the influence of the national innovation environment on the innovation process and on the related business activities is identified

Sustainability experiments in the agri-food system : uncovering the factors of new governance and collaboration success

In recent years, research, society and industry recognize the need to transform the agri-food system towards sustainability. Within this process, sustainability experiments play a crucial role in transforming the structure, culture and practices. In literature, much attention is given to new business models, even if the transformation of conventional firms toward sustainability may offer opportunities to accelerate the transformation. Further acceleration could be achieved through collaboration of multiple actors across the agri-food system, but this calls for a systems approach. Therefore, we developed and applied a new sustainability experiment systems approach (SESA) consisting of an analytical framework that allows a reflective evaluation and cross-case analysis of multi-actor governance networks based on business and learning evaluation criteria. We performed a cross-case analysis of four agri-food sustainability experiments in Flanders to test and validate SESA. Hereby, the key factors of the success of collaboration and its performance were identified at the beginning of a sustainability experiment. Some of the key factors identified were risk sharing and the drivers to participate. We are convinced that these results may be used as an analytical tool for researchers, a tool to support and design new initiatives for policymakers, and a reflective tool for participating actors

Market Structure and Energy Efficiency: The Case of New Commercial Buildings

This is a report on why commercial office buildings aren’t more energy efficient. Several decades of energy efficiency programs have resulted in some gains, but overall increases in the energy efficiency of buildings have fallen far short of the 30 to 50 percent improvement that many efficiency advocates believe is possible. The purpose of this study is to consider the “why” question by empirically examining the dynamics of new commercial building markets. To do so, the authors used multiple research techniques, including qualitative field observation and interview methods that allow for a more in-depth understanding of complicated market processes. Their research focused primarily on new office buildings and centered in four regional markets: Sacramento, San Francisco, Seattle, and Portland. The authors identify key dynamics of commercial office building markets, describe how change and innovation occurs in commercial development, discuss the implications for energy efficiency, and suggest next steps

On the right track? : evaluation as a tool to guide spatial transitions

Spatial developments are becoming more and more non-linear, dynamic and complex with a wide range of possible actors. The awareness of uncertainty in spatial planning is growing and therefore, projects need to integrate a high level of flexibility. But at the same time, a growing demand for taking more informed and well-argued decisions is noticeable. Predictions out of the ‘best estimated model’ are no longer credible and no longer accepted, because they are too fragile and uncertain. How can we keep these long-lasting, multi-actor projects in permanent transition on the right track? This article presents an evaluation methodology that goes beyond the traditional, rational evaluation attitudes with a low level of flexibility being too linear to match the current spatial developments. There is a need for more interrelated, alert and flexible means of evaluation, co-evolving with the processes and current dynamics in spatial planning. Therefore, different evaluation approaches are introduced, depending on the specific interdependencies of the object of evaluation and its context. Subsequently, the theoretical framework is translated towards a more practical level. A case study conducted in Flanders illustrates the current spatial developments and a possible evaluation approach, incorporated from the beginning of the process, to guide this kind of projects

Decision making processes and the adoption of energy saving techniques in social housing

Many innovative techniques and large policy measures have been introduced to reduce energy consumption. Despite the high ambitions and societal pressures, the adoption rate of energy measures is still low. Using adoption theories this paper provides a framework to analyse the adoption process of energy saving techniques in building processes. The stakeholders in the adoption process of energy measures are analysed during every phase of a building project. This framework is used to analyse four projects of a social housing corporation. The low rate of adoption of energy saving techniques can be explained by the large number and variety of stakeholders involved

National Systems of Innovation and Entrepreneurship: In Search of a Missing Link

The literature on national systems of innovation (NIS) has neglected the issue of entrepreneurship because of several incompatibilities between the two notions. The Schumpeterian legacy, the current person-centric view of entrepreneurship, and methodological problems related to treating entrepreneurship at the macro-level, have made it difficult to integrate entrepreneurship into the NIS perspective. At national level it is more appropriate to treat entrepreneurship as a 'property' (dimension) of NIS. In order to link NIS and entrepreneurship we must establish a common conceptual basis. Our argument is that the functional view of NIS and entrepreneurship presents a common basis for such an approach. We develop criteria for the entrepreneurial NIS which we define as being those that can change balance between individual and cooperative entrepreneurship; that enhance both the opportunity and skill aspects of entrepreneurship; and that can balance generation of uncertainty with support to business models and other organisations which pool uncertainty. From the NIS perspective, we explain entrepreneurship as a systemic phenomenon driven by complementarities between technological, market and institutional opportunities. This framework builds on three research traditions in the entrepreneurship/NIS literature (Schumpeterian, Kirznerian and Listian) which jointly form a multi-level, multi-dimensional framework for understanding entrepreneurship from a NIS perspective. This framework could be useful as a heuristic for empirical research on entrepreneurship. Finally, we analyse policies for entrepreneurship and find that they are highly dependent on underlying and previously discussed conceptions of entrepreneurship

Smart Skin Envelope

The Smart Skin Envelope research analyses the recent revolution that has taken place in the sector of planning and production of smart skin components, made up of dynamic layers. The aim is to identify the technological, functional, qualitative and performance parameters that guide the decisions of the actors in the innovation process. It explores the factors that drive them to develop solutions and proposals designed to transform the envelope of the building from a static to a dynamic element, featuring interoperable components that can interact with the input from the outdoor and indoor environments, in relation to which the smart skin acts as a system of boundary and delimitation. The proposed research programme explores in particular the sector of Smart Envelopes, setting as its priority objective the identification and definition of the energy performance, both through analysis of the state of the art and through the development of a facade component that is dynamic in terms of the adaptive variability of its performance