This study explores the effect of intangible assets and sub-components of intangible assets on sustainable growth and firm value in Turkey. The cumulative (i.e., aggregative) value of intangible assets of firms and sub-components of intangible assets were used as test variables in the current study. Further, intangible assets of the firms were divided into three sub-components using the classification of Corrado, Hulten and Sichel, namely computerized information and database, innovative property, and economic competence. Firms listed on Borsa İstanbul were analyzed to test the hypotheses. Two different measures of sustainable growth of firms and unique measure of firm value were used as dependent variables. The final sample includes 1353 observations for nine years between 2005–2013 in Turkey. Ordinary least square (OLS) and Heckman two-stage estimation procedures were employed to test the hypotheses. Estimation results of OLS and Heckman two-stage procedures show that the cumulative value of intangible assets affect the sustainable growth rates of firms and firm value positively. When the cumulative value of intangible assets was classified into three sub-components, both computerized information and database and economic competence impact the sustainable growth rates of firms and firm value.
This paper aims to understand the impact of collaborations on the firm innovation performance. Although some of the previous studies support that external collaborations of firms improves their innovation capabilities, our knowledge on the impact of collaborations on firm innovation performance is still limited. In this research, using innovation survey carried out by Turkish Statistical Institute in 2009 to measure the innovation activities of firms in Turkey between 2006 and 2008, we aim to understand how collaborations influence the innovation performance of firms. We introduce a new indicator to measure the innovation performance of firms which is simply based on the perception of firms regarding to the impacts of innovation. In order to create performance indicators we conducted a factor analysis to group the firms' perceptions on the impacts of innovation. Factor analysis gives us two basic impact of innovation: product and process oriented impacts of innovation. We find out a positive relationship between external collaboration and product oriented impacts of innovation. In other words, firms engaged in external collaboration during the innovation process observe better improvements in their products and markets. External collaboration also brings improvements to the production process of firms.
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