Open knowledge in science and elsewhere

Presentation at the Nordic Perspectives on Open Access and Open Science seminar, Helsinki, October 15, 2013

Supporting knowledge creation and sharing in the early phases of the strategic innovation process

The driving forces of technology and globalization continuously transform the business landscape in a way which undermines the existing strategies and innovations of organizations. The challenge for organizations is to establish such conditions where they are able to create new knowledge for innovative business ideas in interaction between other organizations and individuals. Innovation processes continuously need new external stimulations and seek new ideas, new information and knowledge locating more and more outside traditional organizational boundaries. In several studies, the early phases of the innovation process have been considered as the most critical ones. During these phases, the innovation process can emerge or conclude. External knowledge acquirement and utilization are noticed to be important at this stage of the innovation process giving information about the development of future markets and needs for new innovative businessideas. To make it possible, new methods and approaches to manage proactive knowledge creation and sharing activities are needed. In this study, knowledge creation and sharing in the early phases of the innovation process has been studied, and the understanding of knowledge management in the innovation process in an open and collaborative context advanced. Furthermore, the innovation management methods in this study are combined in a novel way to establish an open innovation process and tested in real-life cases. For these purposes two complementary and sequentially applied group work methods - the heuristic scenario method and the idea generation process - are examined by focusing the research on the support of the open knowledge creation and sharing process. The research objective of this thesis concerns two doctrines: the innovation management including the knowledge management, and the futures research concerning the scenario paradigm. This thesis also applies the group decision support system (GDSS) in the idea generation process to utilize the converged knowledge during the scenario process.

Case study in responsive (re)design

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Heading for Open Science: Filling the Knowledge Gap

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Liber fostering Open Science and Knowledge Discovery

Presentation of Kristiina Hormia-Poutanen at the 25th Anniversary Conference of The National Repository Library of Finland, Kuopio 22th of May 2015.

Open Access in Times of Knowledge Unlatched : Cooperative Action for Books and Journals

Presentation at the seminar "Publishers and Funders for OA in Finland", Helsinki, May 24, 2016

Knowledge creation and transfer in an iterative project environment

This Master’s Thesis examines knowledge creation and transfer processes in an iterative project environment. The aim is to understand how knowledge is created and transferred during an actual iterative implementation project which takes place in International Business Machines (IBM). The second aim is to create and develop new working methods that support more effective knowledge creation and transfer for future iterative implementation projects. The research methodology in this thesis is qualitative. Using focus group interviews as a research method provides qualitative information and introduces the experiences of the individuals participating in the project. This study found that the following factors affect knowledge creation and transfer in an iterative, multinational, and multi-organizational implementation project: shared vision and common goal, trust, open communication, social capital, and network density. All of these received both theoretical and empirical support. As for future projects, strengthening these factors was found to be the key for more effective knowledge creation and transfer.

Knowledge sharing in virtual communities

The Internet has transformed the scope, boundaries and dynamics of social and economic interactions. It is argued to have broadened the notion of the community from physical, colocated groups towards collectives that are able to transcend time and space, i.e. virtual communities. Even if virtual communities have been on the academic agenda for a couple of decades, there is still surprisingly little research on knowledge sharing within them. In addition, prior research has largely neglected the complex dynamics between Internet-based communication channels and the surrounding communities in which they are embedded. This thesis aims at building a better understanding of knowledge sharing supported by conversational technologies in intra-organisational virtual communities and external virtual communities supporting relationships with customers. The focus is thus on knowledge sharing in types of virtual communities that seem to be of relevance to business organisations. The study consists of two parts. The first part introduces the research topic and discusses the overall results. The second part comprises seven research publications. Qualitative research methods are used throughout the study. The results of the study indicate that investigation of the processes of knowledge sharing in virtual communities requires a socio-technical perspective, combining the individual, social and technological levels, and understanding the interplay between them. It is claimed that collective knowledge in virtual communities creates the enabling structure for knowledge sharing, and forms the invisible structure of the community on the basis of which it operates. It consists of a shared context, social capital and a unique community culture. The Internet does not inevitably erode social interaction: it seems that supporting social relationships by means of communication technology is a matter of quantity rather than quality. In order to provide access to external knowledge and expertise, firms need to open themselves up to an array of Internet-based conversations, and to consider the relevance of virtual communities to their businesses.

Minimization of the experimental workload for the prediction of pollutants propagation in rivers. Mathematical modelling and knowledge re-use

The present thesis in focused on the minimization of experimental efforts for the prediction of pollutant propagation in rivers by mathematical modelling and knowledge re-use. Mathematical modelling is based on the well known advection-dispersion equation, while the knowledge re-use approach employs the methods of case based reasoning, graphical analysis and text mining. The thesis contribution to the pollutant transport research field consists of: (1) analytical and numerical models for pollutant transport prediction; (2) two novel techniques which enable the use of variable parameters along rivers in analytical models; (3) models for the estimation of pollutant transport characteristic parameters (velocity, dispersion coefficient and nutrient transformation rates) as functions of water flow, channel characteristics and/or seasonality; (4) the graphical analysis method to be used for the identification of pollution sources along rivers; (5) a case based reasoning tool for the identification of crucial information related to the pollutant transport modelling; (6) and the application of a software tool for the reuse of information during pollutants transport modelling research. These support tools are applicable in the water quality research field and in practice as well, as they can be involved in multiple activities. The models are capable of predicting pollutant propagation along rivers in case of both ordinary pollution and accidents. They can also be applied for other similar rivers in modelling of pollutant transport in rivers with low availability of experimental data concerning concentration. This is because models for parameter estimation developed in the present thesis enable the calculation of transport characteristic parameters as functions of river hydraulic parameters and/or seasonality. The similarity between rivers is assessed using case based reasoning tools, and additional necessary information can be identified by using the software for the information reuse. Such systems represent support for users and open up possibilities for new modelling methods, monitoring facilities and for better river water quality management tools. They are useful also for the estimation of environmental impact of possible technological changes and can be applied in the pre-design stage or/and in the practical use of processes as well.

Strategic Orientation of Knowledge Management: Influence on Company's Performance

Nowadays, the huge part of the most important research is done in the area of interaction of two or more fields of research. They open doors for new ideas and help to find that was not possible to find before, explain simple things, which was missed because of narrow vision. This research investigates the interconnection of strategy study and knowledge management. Well-known researches (e.g. Michael Zack, 2003) point out that organization should align its' knowledge management to strategy to gain success. But this is not well developed area yet. This research contributes to the growing knowledge of knowledge management - strategy alignment. The research tests the relation between strategic orientation of knowledge management and performance of the company. It also investigates the nature of strategy typology influence on strategic orientation of knowledge management. These two points have critical importance for development of this area. Moreover, it has management implication for those practitioners, who cares about sustainable success of their company based on knowledge.

Innovation and Internationalisation in Russian Companies: Challenges and Opportunities for Open Innovation and Cooperation

Increasing globalisation and intensified cross-border cooperation, together with significant technological breakthroughs, create a fascinating gap for the research of the relationship between internationalisation and innovation on national, regional and company levels in Russia. The intensified international trade between countries and regions benefited from favourable institutional conditions, and facilitated the technology transfer and the development of innovations on the national level. This study approaches the same question from the company perspective; if certain companies are more innovative than other domestic companies, will they start internationalisation more easily or get involved in cooperation with international stakeholders? When companies operate in international markets, how do they obtain knowledge? Moreover, would this new knowledge from the foreign market help then to increase innovativeness, competitiveness and develop operations in domestic/local and foreign markets? Considering the role of foreign direct investments (FDI), the research in hand tries to find out the role of companies with FDI on the other players on the home market. Do foreigners bring new technology, innovation to the country? Is there spillover effect observed and how local companies can benefit from them? This dissertation studies the internationalisation and innovation in Russian companies, both from the outward internationalisation and inward internationalisation perspectives. Russian companies developed quickly during the transition period, after the dissolution of the Soviet Union. The common background of these companies, the effects of the change of ownership, and some managerial difficulties make them more sensitive to competitions issues, and in this context, the opportunities brought by the developing innovations are seen in companies and on the governmental level.

Intra-organizational knowledge transfer in a Finnish multinational company

The ability of a multinational company to effectively transfer knowledge from one unit to another can create a great source of competitive advantage and is crucial for long-term success. However, in their attempts to disseminate existent knowledge across national boundaries, organizations encounter several obstacles. Especially challenging is the transfer of tacit knowledge, the most valuable kind, as it is embedded in the minds and the behavior of people. The purpose of this study is to identify the main factors and challenges to be considered in intra-organizational knowledge transfer and consequently develop a framework that could be utilized to improve the process. The research is of qualitative nature and it adopts an exploratory approach. The study was further conducted as an intensive single-case study through studying a Finnish multinational company, and the researcher adopted a role as a participant observant in the research setting. Other data collection methods include semi-structured interviews and an online survey. The research findings show that knowledge transfer is currently challenging within the international sales organization of the case company. The majority of knowledge is currently concentrated in the company headquarters, and it is not always systematically distributed to the regional offices abroad. The main factor affecting knowledge transfer seems to be the organizational culture, which does not support or encourage knowledge sharing. The company is struggling in having a common place for information and employees that lack proper social networks have difficulties accessing relevant knowledge. Some recommended improvement suggestions include the institutionalization of knowledge transfer by turning it into an articulated organizational goal, and the implementation of a reward system that includes soft factors, such as teamwork and knowledge sharing behavior. Furthermore, the organizational culture should be more open and supportive in order to reinforce trust. Individuals in regional offices should be given better support by offering them dedicated mentors and increasing the amount of expatriation. Finally, knowledge should actively be codified and stored in commonly shared platforms where it is easily accessible by all employees.

Knowledge Bases and Related Tools (KBART)

Magaly Basconesin esitys Kirjastoverkkopäivillä 24.10.2013 Helsingissä.

Open innovation: university-industry interaction in Russia

Innovation nowadays is one of the key elements of counties’ competitiveness. In the face of continuous world economic changes, open innovation business model implementation allows many companies to improve and accelerate their innovation processes through collaboration. Universities as traditional sources of knowledge might be involved in such kind of collaboration. In developing countries, which are in transition towards innovation-based economy, as Russia, open innovation business model can serve as a tool to speed up this transition. The Master’s Thesis explores the implementation of open innovation model in collaboration between companies and universities in global scale and particularly in Russia. The study is qualitative and it is based on integrative analysis of literature, secondary data and results of the survey, conducted among Russian universities. In the thesis a model for implementation of open innovation into Triple Helix model is elaborated. The study also explores not very common practice of reverse-directional interaction - from industry to university. The findings of this research show a necessity of solving the identified problems in parallel with implementation of open innovation concept in university-industry collaboration.

Sustainable Business models for Open Access Services

Panel at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014