The concept of intellectual capital was popularized by Tom Stewart in 1991 when Fortune Magazine published his article "Brainpower: How intellectual capital is becoming Americas' most valuable asset". It can be described as the difference between a firm's market value and the cost of replacing its assets. Today innovation is considered as a necessity for every company due to the terminating competition in market, globalization and rapid development of technology. Innovation is defined as "implementing new ideas that create value". Strategy is the outcome of decisions made to guide an organization with respect to environment, structure and processes that influence its firm performance. The organizational literature that improved business performance requires an organizational structure, information systems and management style that are related to a specific-firm strategy. Firm performance can be measured in a variety of ways, including financial performance, product performance and market performance. The purpose of this study is to research the relationships between intellectual capital, innovation, organizational strategy and firm performance.The main contribution of this study is to investigate the effects of intellectual capital, innovation and organizational strategy on performance of firms operating in Antalya, Turkey.

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Over the years, strategy and structure have represented two important constructs that captured the interest of researchers in the business field. This research explores the relationship between organizational structure and business strategy. We hypothesized that several dimensions of organizational structure (centralization, formalization, size, and complexity) would influence perceptions of prospector, defender, analyzer and reactor strategy. We retrieved the data used in this study from the Denizli Chamber of Commerce and Industry. We collected data through a survey and tested the hypotheses using some analyses.

The Global Innovation Index (GII) aims to rank countries using different innovation factors. This ranking list enables countries to observe their potential status according to the rankings of other countries. The countries are classified under four groups according to the World Bank Income Group Classification on the GII list. The groups are named as; low income (LI), lower-middle income (LM), upper-middle income (UM) and high income (HI). Also, every country has a score in this ranking list. In this study, the ranking scores of 128 countries are estimated using the artificial neural network (ANN). We chose the relevant 27 features on GII 2016 Report, as input data. The significance of this paper is that; it is the first curve fitting and estimation of the score processes on GII 2016 dataset. The low root mean square error (RMSE) value which is obtained in an experimental study shows that the fitting structure is good enough to determine the approximate score of the countries in GII list. The results also show that the selected 27 features are sufficient for obtaining the income score of the countries. Increasing the number of features would lower the RMSE value and enable better approximation in the curve fitting process. The final results can assist the countries in achieving long-term output growth and improving their innovation capabilities.

Innovation is what we may call the most significant means of changing and rearranging life through research-and-development and production of technology, including the outcomes in economy. Improvements to innovation support rapid change in information production. Therefore, it is crucial for businesses to apply innovation management to survive and prosper in this age of information. From this point of view, the research aims to investigate the properties of SMEs in Burdur concerning strategy, innovation and whether they have developed innovation and an effective strategy thus far. Moreover, it aims to ascertain which strategies and innovation types they employ and factors influencing their innovation. We retrieved the data used in this study from the Burdur Commerce and Industry Chamber (BUTSO). We collected data through a survey that tests strategies, innovation types and factors influencing innovation for SMEs in Burdur. The results of the study show that internal and external factors are very important for SMEs. According to another result, process and marketing innovation is applied more frequently than product and organizational innovation in SMEs. Finally, the results of this study indicate that SMEs apply analyzer and defender strategy.