Tuija Rantala

Managing knowledge within networked innovation

The purpose of this paper is to research firms’ knowledge management practices within the context of networked innovation between multiple actors. The analysis is based on case research carried out with six companies. Based on earlier literature and the theoretical framework of the paper, two models of networked innovation can be distinguished according to knowledge management needs: networks focusing on the transaction of explicit knowledge and intellectual property, and networks focusing on the co-creation of new knowledge and business opportunities. The paper argues that a strategic approach to knowledge management is a key element of success within networked innovation, both in the theory and in the practices of firms. In that way, firms are able to manage knowledge within networked innovation when they understand their partners’ business models and strategic intents, for example their motivation to collaborate.

INNOVATION MANAGEMENT CHALLENGES OF A SYSTEM INTEGRATOR IN INNOVATION NETWORKS

The paper describes findings from a multiple case study about the innovation management challenges of a system integrator (SI) whose operation is characterized by a high demand of innovation and whose focus of integration capabilities is, accordingly, changing from component assembly to knowledge integration. The study involved six diverse case firms, and it applied the methodology of qualitative research. Innovation networks orchestrated by the SI were categorized, according to the way in which knowledge and intellectual property (IP) were explored and exploited in the network, to sourcing (transaction) and co-creation types of networks. The research question of the study was, what aspects of sourcing networks and of co-creation networks support or hinder networked innovation from the viewpoint of a SI and innovation management? After iteratively addressing the lessons learned from literature and empirical case findings, sets of supporting and hindering aspects were presented as implications of the study.

CHALLENGES FOR PRODUCT AND SERVICE PROVIDERS IN OPEN INNOVATION WITH CUSTOMERS IN BUSINESS-TO-BUSINESS MARKETS

The purpose of this paper is to empirically study challenges faced by product and service providers when innovating openly with customers in business-to-business (B-to-B) markets. The study aims to fill the research gap of how the challenges vary in different types of customer involvement in innovation. The work applied the qualitative methodology of multiple case studies, and the material was collected in semi-structured interviews with management personnel at 48 companies in Finland and in the Netherlands that are practicing open innovation with their customers in one form or another. For the analysis of challenges identified from the empirical data, a typology of open innovation with customers was built, resulting in four distinct types to categorise product and service providers through their dominant business and innovation logics and related customer involvement. The typology gave the context in which strategic and operational challenges of open innovation with customers were explored. Each of the four types seems to have specific and characteristic challenges of open innovation. The findings of the study will help managers of product and service providers in guiding their open innovation practices with customers in B-to-B markets.

Openness in developing inter-organizational innovation

The paper describes empirical findings on how openness is realized in practical innovation projects involving different organizations. The purpose of the study is to increase the understanding of how openness should be managed in the various forms of inter-organizational innovation development. The main research interest is in how openness is manifested in developing innovations with different organizations involved in inter-organizational innovation projects. Subsidiary research questions are: ‘What is open?’, ‘To whom is it open?’ and ‘How open is it?’. The study applied qualitative case study methodology, and empirical data were collected by semi-structured interviews with management personnel in 40 organizations in Finland and the Netherlands. The findings reveal that openness in innovation is a multifaceted issue that can have very different meanings in different contexts. In the context of the study, the answer to the first sub-question (‘What is open?’) is obvious. It is the innovation project; its input, process and outcome. As for ‘To whom is it open?’, interviewees made a clear distinction between projects with known actors and projects that may include unknown actors. Answering ‘How open is the project?’, one can distinguish between different projects according to which attribute best describes the openness of the project – readable, usable, or modifiable. Answers to the three sub-questions conceptualize the issue of openness in inter-organizational innovation development and can be considered theoretical conclusions of the study. By combining the answers, five characteristic levels of openness in inter-organizational innovation were derived as practical implications of the study for R&D and innovation management.

Bazaar of Opportunities for New Business Development:Bridging Networked Innovation, Intellectual Property and Business

Bazaar of Opportunities for New Business Development goes beyond the paradigm of open innovation and underlines the variety of opportunities that firms may have in innovation and new business development with external actors. This book shows readers that firms can interact, innovate, and do business with different known and unknown actors, both formally and informally, and use different levels of openness within interorganizational innovation processes. External actors, however, also mean additional risks for the firm that they should manage. The subtitle of book, Bridging Networked Innovation, Intellectual Property and Business , addresses the guidance and perspectives that the book will provide in order to better prepare the reader for innovation with external actors. Bazaar of Opportunities has a multidisciplinary approach to the subject, bringing innovation, business, legal and network management perspectives together. The findings are based on state-of-the-art practices of innovative firms in Europe, empirical data collected through interviews and case studies. Through this multidisciplinary approach and the empirical findings, the reader may gain insight on how to be successful in open and networked innovation. Contents: Introduction Open and Networked Innovation Collaboration Models and Knowledge Management IP in Networks Contract and IP Management in Networked Innovation IP Strategy and Collaboration Bridging Networked Innovation, Intellectual Property, and Business When is Dealing in the Bazaar of Opportunities Beneficial? Readership: Business and R&D managers, IP managers, legal counsels, and business and innovation management researchers. Key Features: This book expands the concepts of open innovation from idea and intellectual property markets and open source communities to novel innovation and business practices in more traditional industries In this book, we discuss why some actors succeed better in open and networked innovation than others This book combines innovation, business, legal and network management perspectives in a manner practical for business in real life

Business Impacts of Technology Disruption - A Design Science Approach to Cognitive Systems’ Adoption Within Collaborative Networks

Digitalisation and data are stated to be significant drivers of change, technology disruption, and new business. The purpose of this study is to explore the business impacts of technology disruption, more specifically the adoption of cognitive systems within collaborative networks through a design science approach. In accordance with design studies, the relevance of the research results and the research quality are evaluated against the practices of seven companies that participated in the research process. At the crossroads of technology and business disruption the two main dimensions illustrate: (1) the technical complexity of cognitive systems adapted from conventional data utilisation to learning cognitive systems and (2) the broadness of business impacts from a company’s internal processes to changes in ecosystems.