Lobbying as a Part of Business Management

Lobbying by companies and the management techniques of lobbying have been fairly unknown territory. This study explains different theories related to lobbying including major political, economic and mathematical theories and their connections to lobbying. Existing lobbying networks in the European Union, especially at the European Union level, are explained. Lobbying organisations in the European Union are interconnected. Networks start at a local level, and have connections to national, European Union, international and sometimes to the global level. Relationships between business strategy and lobbying are studied with emphasis on issues management. Business strategy is often seen stemming from business environment analysis and stakeholder management. The issues management concept bridges aspects of business environment analysis and stakeholder management into a project type of management approach. The study includes two different empirical parts. A sample of public policy managers representing the European chemical industry was interviewed, and a chemical industry specific lobbying framework was built. This framework was then tested using a questionnaire sent to European public issues managers representing some of the largest European companies. Based on the results of the questionnaire, a generic framework on how large, European companies manage lobbying in general terms was developed.

Strategic Innovation Management Based on Three Dimensions

This thesis examines innovation development needs of firms in a remote rural region. The perspective of the study is in strategic innovation management and three dimensions of innovation development: innovation environment, value delivery and innovation capability. The framework is studied with a theoretical and methodological approach in the context of the development of a regional innovation system and the defining of innovation development needs. The thesis is based on existing innovation management literature, expanding it by examining the features of the three dimensions. The empirical data of the study comprise 50 purposefully selected firms within the region of Pielinen Karelia located in Eastern Finland. Most of the firms (70%) included in the study represent manufacturing firms, and over 90% are small and medium-sized enterprises. The research data consist of two questionnaires and an interview, which were done during 2011 in the connection of a regional development project. The point of view of the research is in regional development and harnessing the innovation capability of the firms within the region. The principal research approach applies soft systems methodology. The study explores the means to foster the innovativeness of firms from the viewpoints of innovation environment, innovation capability and value delivery. In closer detail, the study examines relations between the innovation capability factors, differences in innovation development needs within the value delivery system, between sectors and between firm size categories. The thesis offers three major contributions. First, the study extends earlier research on strategic innovation management by connecting the frameworks of innovation capability, innovation environment and value delivery process to the defining of innovation development needs at the regional level. The results deepen knowledge especially concerning practice-based innovation, peripheral regions and smaller firms. Second, the empirical work, based on a case study, confirms the existence of a structural connection integrating five factors of innovation capability. Statistical evidence is provided especially for the positive impacts of the improvement of absorption capability, marketing capability and networking capability, which are the main weaknesses of firms according to the study. Third, the research provides a methodological contribution by applying the innovation matrix in the defining of the innovation development needs of firms. The study demonstrates how the matrix improves possibility to target policy instruments and innovation services more efficiently through indicating significant differences between the innovation support needs regarding various time horizons and phases of innovation process.