TY - JOUR

T1 - Innovation success in an emerging economy

T2 - A comparison of R&D- oriented companies in Turkey

AU - Kleiner-Schäfer, Timo

AU - Liefner, Ingo

N1 - Funding Information: The survey sampling was based on the database of the (TÜBITAK). As the leading agency for management, funding, and conducting research in Turkey, TÜBITAK is a very helpful data source for capturing the most innovation‐oriented segment of Turkish companies. From the database, a new subset of 838 firms was compiled based on their geographic location in Istanbul and including only those which successfully completed at least three R&D projects which were funded by TÜBITAK. No further distinction was made regarding the amount of financial support firms received. After targeting senior R&D executives and general managers, 265 questionnaires were received, 40 of which were omitted due to a substantial number of missing values, resulting in survey sample of 225 firms. Having an effective response rate of 26.85% is satisfactory given the topic and type of potential respondents. Also, a test for nonresponse bias from early and late respondents showed no statistical problems with the data collected for this study (Armstrong & Overton, 1977 ). For the purpose of content validity of the chosen measurements, the suggested procedures by Hair et al. ( 2007 ) were adopted (Hair et al., 2007 ). First, exploratory interviews with senior experts in the field of R&D and management in Istanbul were conducted to develop an initial version of the survey. Second, the questionnaire was then revised through discussions with other scholar experts. Finally, a pretest of the survey was conducted with randomly selected firms and adjusted accordingly until it reached a satisfactory level of clarity and maturity. The study was conducted in the first half of 2016. Scientific and Technological Research Council of Turkey

PY - 2021/7/6

Y1 - 2021/7/6

N2 - Knowledge and innovation capacities are unevenly distributed on a global scale, with national or regional settings playing a crucial role when it comes to the production and usage of knowledge. In particular, emerging economies are less equipped with relevant institutions and resources, meaning that firms residing in such contexts are likewise dealing with lacking innovation capabilities. However, achieving innovation is highly relevant for the economic development of firms and regions. Therefore, we aim to identify key factors for innovation strategies in a differentiated corporate landscape that might affect innovation success. Survey data from the innovative segment of 225 manufacturing firms in Istanbul is used in a two-step methodological approach. We apply dimension reduction through principal component analysis and use the resulting components in logistic regression analysis to estimate their effects on firms’ innovation success. The results reveal not only important findings about factors for the innovation success of firms, but also highly relevant insights about firms’ innovation strategies. The usage of internal and external R&D resources varies with firm type. In addition, we find that external R&D resources determine firms’ internationalization strategies. Hereof, we suggest policy implications for distinct firm types to support diverse innovation strategies and consequently innovation success.

AB - Knowledge and innovation capacities are unevenly distributed on a global scale, with national or regional settings playing a crucial role when it comes to the production and usage of knowledge. In particular, emerging economies are less equipped with relevant institutions and resources, meaning that firms residing in such contexts are likewise dealing with lacking innovation capabilities. However, achieving innovation is highly relevant for the economic development of firms and regions. Therefore, we aim to identify key factors for innovation strategies in a differentiated corporate landscape that might affect innovation success. Survey data from the innovative segment of 225 manufacturing firms in Istanbul is used in a two-step methodological approach. We apply dimension reduction through principal component analysis and use the resulting components in logistic regression analysis to estimate their effects on firms’ innovation success. The results reveal not only important findings about factors for the innovation success of firms, but also highly relevant insights about firms’ innovation strategies. The usage of internal and external R&D resources varies with firm type. In addition, we find that external R&D resources determine firms’ internationalization strategies. Hereof, we suggest policy implications for distinct firm types to support diverse innovation strategies and consequently innovation success.

UR - http://www.scopus.com/inward/record.url?scp=85100871374&partnerID=8YFLogxK

U2 - 10.1111/grow.12479

DO - 10.1111/grow.12479

M3 - Article

AN - SCOPUS:85100871374

VL - 52

SP - 963

EP - 989

JO - Growth and change

JF - Growth and change

SN - 0017-4815

IS - 2

ER -