The Early Phases of Innovation Process - Case: New Wireless E-Business Opportunities in Forest Industry

Tutkimuksen tavoitteena oli soveltaa innovaatioprosessiteorioita käytäntöön konteksti huomioonottaen, koska langattoman sähköisen liiketoiminnan nopeat muutokset, metsäteollisuuden erityispiirteet ja ei-kaupallisuus asettavat erityistarpeita innovoinnille. Painopiste on prosessin aikaisissa vaiheissa, koska ne ovat kriittisiä koko innovaatioprosessin menestymisen kannalta. Tähtäimenä oli löytää yrityssektorille uusia langattomia sähköisen liiketoiminnan mahdollisuuksia, jotka hyödyttävät tutkimuksessa mukanaolevaa yritystä. Tutkimuksessa käytettiin konstruktiivista tutkimusotetta ja metodeina sähköistä aivomyrskyä, tarkistuslistaa sekä GDSS- ja postikyselyä.Tutkimuksen tuloksena on esitetty innovaatioprosessin aikaiset vaiheet kirjallisuudesta, metsäteollisuuden erityispiirteet ja innovaatioprosessisovellus. Lisäksi tämä tutkimus tuotti uusia sähköisen liiketoiminnan ideoita, suoritti niille seulonnan ja kävi läpi alustavan tutkimuksen.

The Management of Intellectual Capital in the Early Phases of Project Marketing

This study aims at enhancing understanding and deriving new constructs about the management of intellectual capital in the early phases of project marketing. The research methodology employed is deductive; conceptual reasoning is based on existing literature. The study's knowledge base is drawn from the bodies of literature dealing with project, relationship, and industrial marketing, as well as from the literature dealing with mechanical engineering, network approach, systems selling, R&D, project portfolio, strategic, financial, and knowledge management. As a result, three processes, 32 summaries and 19 conclusions give to the management of intellectual capital meaning in the context of project marketing. These conclusions and synthesis are proposed to improve the existing concepts and models in project marketing.

Depth sensors in augmented reality solutions. Literature review

The emergence of depth sensors has made it possible to track – not only monocular cues – but also the actual depth values of the environment. This is especially useful in augmented reality solutions, where the position and orientation (pose) of the observer need to be accurately determined. This allows virtual objects to be installed to the view of the user through, for example, a screen of a tablet or augmented reality glasses (e.g. Google glass, etc.). Although the early 3D sensors have been physically quite large, the size of these sensors is decreasing, and possibly – eventually – a 3D sensor could be embedded – for example – to augmented reality glasses. The wider subject area considered in this review is 3D SLAM methods, which take advantage of the 3D information available by modern RGB-D sensors, such as Microsoft Kinect. Thus the review for SLAM (Simultaneous Localization and Mapping) and 3D tracking in augmented reality is a timely subject. We also try to find out the limitations and possibilities of different tracking methods, and how they should be improved, in order to allow efficient integration of the methods to the augmented reality solutions of the future.