Knowledge Integration and Network Formation.

In this paper, we highlight how inter-firm collaboration networks are influenced by the knowledge composition of goods in an industry. For this purpose, we carry out an agent based simulation study in which firms integrate their competencies under different knowledge base regimes. In this way networks form. The results reveal that, knowledge regime significantly influences the network structure, and interaction among firms is very intensive when the products are specialized but also have common knowledge among them.

Breadth and Depth of Main Technology Fields: An empirical investigation using patent data

Recently work on technological change has emphasized the importance and implications of different knowledge bases among industries in terms of innovative potential. In some industries, products and processes have become more complex, as well as there appears to be increased convergence in some market segments. Although increasing attention has been given to features of knowledge bases, there have been limited empirical research on how to measure them. In this paper a method is proposed to measure empirically the breadth and depth dimensions of main technology fields, sectors and firms in the economy. For this purpose, we measure the knowledge bases of 30 main technology fields by using the concepts of breadth and depth. Breadth corresponds to the range of different subjects that a technology field draws upon. Depth refers to the extent to which a certain field is exploited in detail. We position the main technology fields in the breadth and depth space by utilizing the EPO (European Patent Office) database between 1978-2000. We also present the evolution of breadth and depth through time, as well as the breadth and depth dimensions of 40 largest firms in biotechnology and telecommunications. Our results reveal that the both technology fields and firms are largely scattered in the breadth and depth space. Biotechnology stands out to have the highest breadth and depth.Patents, Breadth and depth, technology fields, knowledge base.

Network Formation and Strategic Firm Behaviour to Explore and Exploit.

The aim of this paper is to investigate the effect of technological opportunities and knowledge tacitness on inter-firm network formation, under two different industry regimes. In the first regime environment is stable and the aim of firms is to exploit knowledge. In this case, they attribute more value to repeated interactions with geographically close firms. In the second regime, there is environmental turbulence, which increases the value of access to novel information from distant partners for exploration. The question addressed is, under these regimes how do technological opportunities and knowledge tacitness influence structure of networks? The main contribution of the paper different from previous work is that it explicitly models the effect of history between two firms on networks that form. A simulation model is carried out where firms select partners and learn from them, which further shapes their selection process. The results reveal that in both regimes richer technological opportunities and higher tacitness generates local and global star firms depending on the parameter range.

The Two Faces of Open Innovation: NetworkExternalities and Learning.

In this paper I differentiate between two types of benefits of open innova- tion. Network externalities e¤ect happens when open innovation increases the participation of one group of users which increases the value of adoption for another group of users. Learning e¤ect happens when economic actors increase their knowledge through access to external sources of knowledge. I investigate how each effect can be dominant depending on nature of products, by drawing upon previous research in product modularity. In addition I discuss the fac- tors which will strengthen or weaken the e¤ects of each dimension. The main variables which influence learning are, tacitness of knowledge, technological op- portunities, appropriability of knowledge and turbulence. Network externalities e¤ect can be strengthened by increased user innovation.

The Joint Effect of Technological Distance and Market Distance on Strategic Alliances.

The literature on strategic alliances has deepened our understanding of the mechanisms behind their formation. This literature has given a central role to complementarities between firms, whereby complementarities are usually measured by technological overlap. An established result tells us that, there is an inverted-u relationship between technological distance and learning by firms. In this paper, we argue that technological distance is only one aspect of complementarities. Equally important is the market distance, which we define as the extent to which the value generated by the alliance depends on the synergies between firms’ products. These synergies may occur because of the complementarities between products, or the possibilities to apply similar knowledge fields in different product domains. Through an agent based simulation study, we show that when firms consider both distances jointly, an alliance strategy which favours being close in at least one dimension yields the highest payoff, rather than being at the intermediate distance in both dimensions.

Quadratic Points on Modular Curves

In this paper we determine the quadratic points on the modular curves X_0(N), where the curve is non-hyperelliptic, the genus is 3, 4 or 5, and the Mordell--Weil group of J_0(N) is finite. The values of N are 34, 38, 42, 44, 45, 51, 52, 54, 55, 56, 63, 64, 72, 75, 81. As well as determining the non-cuspidal quadratic points, we give the j-invariants of the elliptic curves parametrized by those points, and determine if they have complex multiplication or are quadratic \Q-curves.Comment: Some improvements and corrections suggested by the referee are incorporated. Magma programs used to generate the data are now available with this arXiv versio

Fostering national research networks: The case of Turkish coauthorship patterns in the social sciences

We analyse the coauthorship networks of researchers affiliated at universities in Turkey by using two databases: the international SSCI database and the Turkish ULAKBIM database. We find that coauthorship networks are composed largely of isolated groups, permitting little knowledge diffusion. Moreover, there seems to be two disparate populations of researchers. While some scholars publish mostly in the international journals, others target the national audience, and there is very little intersection between the two populations. The same observation is valid for universities, among which there is very little collaboration. Our results point out that while Turkish social sciences and humanities publications have been growing impressively in the last decade, domestic networks to ensure the dissemination of knowledge and of research output are very weak and should be supported by domestic policies.Research collaboration, coauthorship, networks, research policy.

Development of a proficiency oriented reading test for use at the preparatory program of Çukurova University

Ankara : Faculty of Letters and The Institute of Economics and Social Sciences of Bilkent University, 1990.Thesis (Master's) -- Bilkent University, 1990Includes bibliographical references leaves 46-48Ozman, HaticeM.S