Main purpose of this thesis is to analyse the main determinants affecting innovation behaviour by utilizing the results of Technological Innovation Survey of Turkey for the periods 2004-2006 combined with the results of Annual Business Statistics Surveys conducted for the year 2003. The total number of the observations of the matched data of the two Surveys is 947. Main underlying reason for the time lag introduced between the two surveys is to be able to relate firm and sector characteristics to the innovation behaviour in following years. Logit model is established with three main dependent variables as firms doing product innovation, process innovation and either one of them. According to result of the analysis, four main areas are found to be promoting the innovation behaviour in firms. Firstly, as the firm size increases, the probability of engaging in innovation is found to be affected positively. Secondly, firms having foreign share also has more tendency for innovation. This result is surprising and disproof the initial assumption related with foreign share, since foreign investment is found to be a hindering factor in some previous studies in developing countries. Thirdly having intellectual property rights is positively related with innovation behaviour. Last positively affecting factor is engaging in R&amp / D, which is presumable. Three factors are found to be insignificant as Export Status, Import Penetration and Tariff Rate. The relationship between foreign trade and innovation behaviour could not be justified which is mainly due to lack of data reliability.

[Truncated abstract] Technological innovation is considered the main contributor to economic growth. The systems of innovation framework aims to examine the causal pathways leading to technological innovation. However, most existing research under this framework, due to theoretical or methodological weaknesses, is unable to validate causal pathways or determinants of innovation. Institutions that guide human interaction within innovation systems are thought to be particularly important. The challenge has been to develop a taxonomy with which to conduct an empirical analysis of the impact of the institutional milieu on innovation. This thesis examines medical technological innovation within Australia and provides a basis from which such a taxonomy and other associated measures for systems of innovation have been developed. Medical industries are economically significant in developed countries and are amongst the most profitable worldwide. They use patents extensively to protect their innovations. In this context medical patents are an efficient means of examining the determinants of innovation. Few studies worldwide have explored the commercialisation process from patent to technological innovation and none has examined medical patents specifically. This thesis contains three empirical studies: - a description of Australian medical technology patented in the US between 1984-1999; - a survey of their inventors to examine the commercialisation process and identify the determinants of technological innovation; and - a case study of the commercialisation of an invention arising within an Australian university using qualitative methods. The first study is a population-based descriptive study of all US medical patents granted to Australian resident inventors between 1984 and 1999. During this period 7,835 US patents were granted to Australian resident inventors. Of these, 17% are identified as medical, and the proportion of medical patents rose from 10% to 25% of all Australian patents in the US from 1984 to 1999. The increase is largely due to Australian biotechnology patents, which increased from 10% to 55% of all medical patents during this period. Overall, medical patents are an increasingly significant proportion of Australia’s intellectual property portfolio. The second study is a survey of 402 first-named Australian inventors listed on the 602 medical patents granted in the US in 1984-1994. The aim is to assess their experience and success in commercialising their patented inventions. The correct address was found for 274 inventors of whom 177 (65%) were surveyed with no evidence of a significant response bias. This is the first known study surveying a nationally representative sample of medical inventors listed on patents

Intense global competition and rapid technological advances have seen innovation become central towards enabling firms to adapt and rejuvenate themselves. While firms become increasingly focused on innovation, the challenge of managing innovation and developing innovation capabilities still remains. The purpose of this thesis is to analyse and evaluate the innovation capabilities of Ericsson’s Shared Services Organization (SSO). To do so, the existing literature and theories are synthesized and a multi-dimensional framework is utilized to conceptualize the determinants of organizational innovation capabilities. This framework is applied to analyse and evaluate the innovation capabilities of Ericsson’s SSO. Empirical data are collected through interviews in conjunction with qualitative content analysis of internal documents and participation in several meetings and discussions.Overall, the analysis of the case study revealed some common areas related to innovation capabilities, such as strategy intent for innovation, employees’ engagement with innovation initiatives, structured approach for innovation and management support. The conclusions and implications suggested reflect on the ways in which the case study could create a functional innovation program for fostering innovation in the organization and reaching its performance goals by exploiting untapped resources for innovation.

In this paper, we analyze, estimate and compare five prototypic models of innovation, from a simple learning-by-doing model to an elaborated model that includes financial, organizational and technological determinants of innovation. From the comparison of the five models we conclude that institutions - in particular the national system of innovation - and organizations matter. The importance of networks and the importance of information flows from different economic actors add to the explanatory power and gives the best model fit among all models specified. / Series: Department of Economics Working Paper Series