Abstract: In this paper, we concentrate on relational capital, manifestation of the old adage ⠀it is not what you know but who you know⠀. We propose that in this networked world, the importance of relationships between multiple stakeholders created by key personnel and financing becomes fundamental, and hence understanding and measuring those becomes fundamental, too. Accordingly, we highlight that there is a need to go beyond social, individual or personal relationships and organizational context, as well as beyond the limitations of the dyadic (one actor to one actor) view on relationships. Hence, we are introducing the ecosystem as the context for measuring relational capital. This paper builds on a construct of ecosystemic relational capital, cr eated for understanding and measuring the importance of relationships in the context of ecosystems. It looks at the totality of relationships both at organizational level and at individual level, measuring the structures and characteristics related to ind ividuals, organizations as well as the ecosystem as a whole (Still et al. 2014a). We acknowledge that the initial framework emphasizes the ⠜networking capabilities⠀ element of relational capital, with less attention to the element of ⠜customer loy alty and reputation⠀, which is the motivation for building on the construct. The processes of ecosystemic relational capital are already seen to be built on the possibilities afforded by the volumes of digital data, mostly from social media, providing d etails on the relationships between various actors related to various regions, sectors, technologies and products. However, we propose enhancing the holistic integration for better understanding and measuring of relational capital with the application of methods of social network analysis (SNA), network visualizations and social media analytics. In this paper, we present concrete examples of the enhanced framework. At the same time, we acknowledge that there are many other avenues for obtaining novel in sights for relational capital with these analytics
Keywords: innovation ecosystems, relational capital, social capital, visual ecosystem analytics, social network analysis, social media analytics, innovation indicators
This research focuses on analysing knowledge processes of the design process, especially the early phases of the design process that can be called concept design. It aims at developing a body of knowledge that builds on the relevant issues toward user‑centred design in a form of a framework. This is intended to apply, organise and synthesise processes, theories and concepts from the separate but linked disciplines of knowledge management and human‑ computer interaction, hence addressing one of the most essential topics and goals of system design, i.e. how to define what is needed in the system and how the system should mediate human activitiesÂ„for the purposes of this research, in the context of interest‑based communities and mobile technology. The framework is based on the following propositions: (1) The participants of design process include designers and users as actors, both of which are seen to possess knowledge needed toward successful design; (2) this knowledge is proposed to be context‑specific, hence being specific for certain users using certain technology; (3) for the user as well as for the design professional there are some things that are known but have not been articulated; and (4) the knowledge processes transforming tacit knowledge into explicit knowledge by users and designers are linked and need to be combined, finally (5) toward knowledge embedded into concepts, products, or services. Overall, the research highlights how knowledge processes enable user involvement and capturing tacit (and novel) user knowledge toward successful concept designdesign.