Brite innovation survey : executive summary

This report summarises the fi ndings of an innovation survey of the Australian construction industry undertaken by the BRITE Project of the CRC for Construction Innovation in 2004. The BRITE Innovation Survey can be viewed in full at www.brite.crcci.info.The objective of the BRITE project is to improve the incidence and quality of innovation in the Australian construction industry. Many stakeholders in the industry are sceptical about the potential for innovation and its likely benefi ts. Many also lack the linkages and capabilities required for successful innovation. The BRITE Project is redressing this situation through demonstration and benchmarking activities. The term ‘innovation’ is defi ned as a new or signifi cantly improved technology or advanced business practice. Innovation may be technological or organisational, and it may be new to the world, or just new to the industry or business concerned. The defi nition includes the adoption of existing advancements developed outside a particular business. The survey sample was drawn from 3,500 businesses in the road/bridge and commercial building sectors in New South Wales, Victoria and Queensland, covering main contractors, trade contractors, consultants, suppliers and clients. Onethird of this population was sampled and a response rate of almost 30% was achieved. The survey collected information about respondents’ perceptions of innovation determinants in the industry, comprising various aspects of business strategy and business environment.

Innovation and cooperation: evidence from the Brazilian innovation survey

Includes bibliography

Measuring Organisational Innovation – The Example of the European Community Innovation Survey (CIS)

In the last decade, non-technological and particularly organisational innovations have gained more and more importance and research focus. However, there is no consensus among the academic community either about the definition or about the broader theoretical and methodological foundations of this phenomena. In the present study the authors intend to partly improve this knowledge deficiency syndrome by analysing the most important theoretical contributions of organisational innovation and by reviewing the development in the methodological tools aimed to measure organisational innovation on a European level. By doing so, the authors will focus on the various waves of the Community Innovation Survey (CIS) as an employer-oriented and of the European Working Conditions Survey (EWCS) as an employee-oriented survey. Finally, they will formulate some remarks for further empirical research streams.

Cross-sectoral differences in the drivers of innovation: evidence from the Irish Community Innovation Survey

Purpose: The purpose of this paper is to analyse differences in the drivers of firm innovation performance across sectors. The literature often makes the assumption that firms in different sectors differ in their propensity to innovate but not in the drivers of innovation. The authors empirically assess whether this assumption is accurate through a series of econometric estimations and tests. Design/methodology/approach: The data used are derived from the Irish Community Innovation Survey 2004-2006. A series of multivariate probit models are estimated and the resulting coefficients are tested for parameter stability across sectors using likelihood ratio tests. Findings: The results indicate that there is a strong degree of heterogeneity in the drivers of innovation across sectors. The determinants of process, organisational, new to firm and new to market innovation varies across sectors suggesting that the pooling of sectors in an innovation production function may lead to biased inferences. Research limitations/implications: The implications of the results are that innovation policies targeted at stimulating innovation need to be tailored to particular industries. One size fits all policies would seem inappropriate given the large degree of heterogeneity observed across the drivers of innovation in different sectors. Originality/value: The value of this paper is that it provides an empirical test as to whether it is suitable to group sectoral data when estimating innovation production functions. Most papers simply include sectoral dummies, implying that only the propensity to innovate differs across sectors and that the slope of the coefficient estimates are in fact consistent across sectors.

Innovation in construction : a case study of the Australian context

The dominant economic paradigm currently guiding industry policy making in Australia and much of the rest of the world is the neoclassical approach. Although neoclassical theories acknowledge that growth is driven by innovation, such innovation is exogenous to their standard models and hence often not explored. Instead the focus is on the allocation of scarce resources, where innovation is perceived as an external shock to the system. Indeed, analysis of innovation is largely undertaken by other disciplines, such as evolutionary economics and institutional economics. As more has become known about innovation processes, linear models, based on research and development or market demand, have been replaced by more complex interactive models which emphasise the existence of feedback loops between the actors and activities involved in the commercialisation of ideas (Manley 2003). Currently dominant among these approaches is the national or sectoral innovation system model (Breschi and Malerba 2000; Nelson 1993), which is based on the notion of increasingly open innovation systems (Chesbrough, Vanhaverbeke, and West 2008). This chapter reports on the ‘BRITE Survey’ funded by the Cooperative Research Centre for Construction Innovation which investigated the open sectoral innovation system operating in the Australian construction industry. The BRITE Survey was undertaken in 2004 and it is the largest construction innovation survey ever conducted in Australia. The results reported here give an indication of how construction innovation processes operate, as an example that should be of interest to international audiences interested in construction economics. The questionnaire was based on a broad range of indicators recommended in the OECD’s Community Innovation Survey guidelines (OECD/Eurostat 2005). Although the ABS has recently begun to undertake regular innovation surveys that include the construction industry (2006), they employ a very narrow definition of the industry and only collect very basic data compared to that provided by the BRITE Survey, which is presented in this chapter. The term ‘innovation’ is defined here as a new or significantly improved technology or organisational practice, based broadly on OECD definitions (OECD/Eurostat 2005). Innovation may be technological or organisational in nature and it may be new to the world, or just new to the industry or the business concerned. The definition thus includes the simple adoption of existing technological and organisational advancements. The survey collected information about respondents’ perceptions of innovation determinants in the industry, comprising various aspects of business strategy and business environment. It builds on a pilot innovation survey undertaken by PricewaterhouseCoopers (PWC) for the Australian Construction Industry Forum on behalf of the Australian Commonwealth Department of Industry Tourism and Resources, in 2001 (PWC 2002). The survey responds to an identified need within the Australian construction industry to have accurate and timely innovation data upon which to base effective management strategies and public policies (Focus Group 2004).

Innovative Products Survey Report

This report presents the results of the 2011 Australian road and bridge product innovation survey, the largest survey of its kind ever undertaken. The survey sample was defined as key organisations involved in the Australian road and bridge construction industry. The survey focused on four sectors across the road and bridge product supply chain: suppliers (comprising manufacturers and distributors), consultants (primarily engineering consultant firms), contractors (comprising head and trade contractors and subcontractors) and clients (state government road agencies). The sample comprised the four sectors in Queensland, New South Wales and Victoria.

How European public sector agencies innovate: The use of bottom-up, policy-dependent and knowledge-scanning innovation methods

Factor and cluster analysis are used to identify different methods that public sector agencies in Europeuse to innovate, based on data from a 2010 survey of 3273 agencies. The analyses identify three types ofinnovative agencies: bottom-up, knowledge-scanning, and policy-dependent. The distribution of bottom-up agencies across European countries is positively correlated with average per capita incomes while thedistribution of knowledge-scanning agencies is negatively correlated with income. In contrast, there isno consistent pattern by country in the distribution of policy-dependent agencies. Regression resultsthat control for agency characteristics find that innovation methods are significantly correlated with thebeneficial outcomes of innovation, with bottom-up and knowledge-scanning agencies out-performingpolicy-dependent agencies.

The paradox of openness revisited: Collaborative innovation and patenting by UK innovators

© 2016 The Authors.We revisit the "paradox of openness" in the literature which consists of two conflicting views on the link between patenting and open innovation-the spillover prevention and the organizational openness views. We use the data from the Survey of Innovation and Patent Use and the Community Innovation Survey (CIS6) in the UK to assess the empirical support for the distinct predictions of these theories. We argue that both patenting and external sourcing (openness) are jointly-determined decisions made by firms. Their relationship is contingent upon whether the firms are technically superior to their rivals and lead in the market or not. Leading firms are more vulnerable to unintended knowledge spillovers during collaboration as compared to followers, and consequently, the increase in patenting due to openness is higher for leaders than for followers. We develop a simple framework that allows us to formally derive the empirical implications of this hypothesis and test it by estimating whether the reduced form relationship between patenting and collaboration is stronger for leaders than for followers.

Service Innovation, Embeddedness and Business Performance: Evidence from Northern Ireland

This paper explores the factors that determine innovation by service firms, and in particular the contribution of intra- and extra-regional connectivity. Subsequently, it is examined how service firms' innovation activity relates to productivity and export behaviour. The empirical analysis is based on matched data from the 2005 UK Innovation Survey - the UK component of the 4th Community Innovation Survey (CIS) - and the Annual Business Inquiry for Northern Ireland. Evidence is found of negative intra-regional embeddedness effects, but there is a positive contribution to innovation from extra-regional connectivity, particularly links to customers. Relationships between innovation, exporting, and productivity prove complex, but suggest that innovation itself is not sufficient to generate productivity improvements. Only when innovation is combined with increased export activity are productivity gains evident.

The role of proximity in university-business cooperation for innovation

The potential for universities to contribute positively to business innovation has received much attention in recent years. While the determinants of university-business cooperation have been examined extensively, less attention has been given to the mediating influence of proximity in this relationship. The analysis in this paper builds on theUKbusiness innovation survey (2002–2005) by incorporating measures of the university research environment for each of the 16,500 businesses surveyed. These measures allow us to look beyond business-level characteristics as determinants of the geography of university cooperation and account for the character of the local university environment. Measures include the distance from each business to its nearest university, the quality of local university research and the density of the university research environment. The findings suggest that significant differences exist between those businesses that cooperate with local universities and those that cooperate with non-local universities. These differences relate to business size, sales profile, location, absorptive capacity and innovation activity. In addition, we also find that if a business is located close to a research excellent university, cooperation tends to remain local, however, the distance between businesses and the nearest university is not a significant determinant of university-business cooperation and further, the higher the concentration of universities in the business locale, the more likely businesses are to cooperate with non-local universities.

Innovation, R and D investment and productivity in Chile

Includes bibliography

Innovation projects performance: Analyzing the impact of organizational characteristics

This study analyzes the effect of organizational characteristics on the innovation project performance. This research applies fuzzy set Qualitative Comparative Analysis (fsQCA) to a large sample of Spanish firms appearing in the Community Innovation survey (CIS). The results show that the combination of organizational innovation, firm size and cooperationwith national and, especially, international firms is a sufficient condition for the success of innovation projects within the organization. Evidence also suggests that variables such as the investment on R&D peremployee or the seniority of the company do not affect the success of innovation projects. These findings help complement some results in previous studies on innovation projects performance.