<p>This thesis work develops a detailed understanding of the different innovation processes in four small software developing firms in Mjärdevi Science Park (MSP). The analysis of these complex processes is based on an open systems approach, which includes the technology cluster in Linköping as centre of software and hardware development in Sweden. Special attention hereby goes to MSP as the software developing centre of the cluster, and Linköping’s University as one of the most renowned Scandinavian universities in the field of informatics. </p><p>We generally see that innovative companies have higher revenues than their non-innovative counterparts. Interesting is therefore the identification of aspects, which enable organizations to shape and foster their innovative capability in a socio-technical context. Previous research on the identification of patterns in innovation has focused on large multinationals with separate R&D departments. But how should small- sized firms deal with the ‘innovators dilemma’? How can they benefit from being situated in a Science Park? How do they manage innovation as a structured process? </p><p>This thesis answers these questions by providing the reader with a catching insight in the innovation management of four software developers, who have created an innovative capability, as developers of radically new products in unexplored markets.</p>

This thesis work develops a detailed understanding of the different innovation processes in four small software developing firms in Mjärdevi Science Park (MSP). The analysis of these complex processes is based on an open systems approach, which includes the technology cluster in Linköping as centre of software and hardware development in Sweden. Special attention hereby goes to MSP as the software developing centre of the cluster, and Linköping’s University as one of the most renowned Scandinavian universities in the field of informatics. We generally see that innovative companies have higher revenues than their non-innovative counterparts. Interesting is therefore the identification of aspects, which enable organizations to shape and foster their innovative capability in a socio-technical context. Previous research on the identification of patterns in innovation has focused on large multinationals with separate R&amp;D departments. But how should small- sized firms deal with the ‘innovators dilemma’? How can they benefit from being situated in a Science Park? How do they manage innovation as a structured process? This thesis answers these questions by providing the reader with a catching insight in the innovation management of four software developers, who have created an innovative capability, as developers of radically new products in unexplored markets.

<p>Almost any large-scale system can be viewed as a network that shows interac-tions among entities which are constituent parts of the system. The focus of this<br />dissertation is on complex networks from three domains: (1) networks extracted<br />from source code of computer programs that represent design of software systems,<br />(2) networks extracted from semantic web ontologies that describe the structure<br />of shared and reusable knowledge, and (3) networks extracted from bibliographic<br />records that depict collaboration in science. We proposed new methods for the<br />extraction of networks from mentioned domains. Secondly, on several case stud-ies we demonstrated benets of network-based analysis of concrete systems from<br />those domains. In contrast to the previous work on the subject, analyses pre-sented in this dissertation are not purely topological, but combine techniques and<br />metrics developed under the framework of complex network theory with domain-dependent metrics.</p> / <p>Skoro svaki kompleksan sistem se može predstaviti mrežom koja opisuje interakcije izmedju entiteta od kojih je sistem komponovan. Fokus ove disertacije je na&nbsp;kompleksnim mrežama iz tri domena: (1) mreže ekstrahovane iz izvornog koda&nbsp;računarskih programa koje reprezentuju dizajn softverskih sistema, (2) mreže ekstrahovane iz ontologija semantičkog web-a koje opisuju strukturu deljenog znanja&nbsp;pogodnog za vi&scaron;ekratnu upotrebu, i (3) mreže ekstrahovane iz bibliografskih zapisa koje opisuju saradnju istraživača. U okviru disertacije predložene su nove&nbsp;metode za ekstrakciju mreža iz pomenutih domena. Drugo, na nekoliko studija&nbsp;slučaja ilustrovani su beneti mrežno orjentisane analize konkretnih sistema iz&nbsp;domena obuhvaćenih disertacijom. U poredjenju sa prethodnim relevantim istraživanjima, analize prezentovane u disertaciji nisu čisto topolo&scaron;ke, nego kombinuju tehnike i metrike razvijene u okviru teorije kompleksnih mreža sa metrikama iz konkretnog domena.</p>