A Proposal for a Standard With Innovation Management System

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Jukka Huhtamäki et al. Figure 3: The distribution of Twitter follower count for Tekes Young Innovative Companies Figure 4: Network of Tekes Young Innovative Companies and their followers Figure 3 shows the distribution of Twitter follower count for the different companies. As we can see, Microtask (http://www.microtask.com/), a company providing solutions to human powered document processing, has attracted over 30,000 followers and a few other companies have some thousands of followers. However, for most of the companies the follower count is small. This power law like distribution is commonly found in networks that are scale free (Barabási and Bonabeau 2003): this 312
Jukka Huhtamäki et al. means that as a result of the process of preferential attachment, one actor dominates the connections in a network. We see that in this context, direct conclusions should not be drawn from the values for individual companies. Rather, a more valuable approach for providing insights on follower data is to create an overall or ecosystemic view to the companies. For showing the Twitter-mediated interlinkages between the companies, we created a union of 1-step egocentric networks. In other words, the followers of a company were connected to a company with a directed connection but the connections between the followers were not included. Again, a combination of clustering and relation-based compacting stages were used to layout the network. The resulting visualization in Figure 4 shows all the 72,880 nodes and 75,755 connections in the network and can be used to pinpoint e.g. patterns in follower-based connections between the companies. We chose to present a view to the network where node size is representational to its indegree, i.e. the number of Twitter followers of a company. We acknowledge that the modeling and visualization design decisions depend on the questions that one seeks to discuss and answer with the help of the network: if one would be interested in finding the most active followers in the network, node size should be proportional to its outdegree. To find the companies that are most strongly connected to each other through shared followers, a one mode network of companies could be created with connection weight proportional to the number of shared followers. For example, Microtask shares the most amount of followers with other companies: 444 followers with XIHA; 188 with Web of Trust and 155 with Hammerkit. 4. Discussion Our goal was to explore the networks of growth of Tekes Young Innovative Companies using social network analysis, social media data and network visualizations. We wanted to highlight the role of companies as resource integrators within networks, acting with other resource integrators in order to succeed and grow. Through the process from social media data through analysis we produced concrete visualizations of the networks. Our findings made visible the existing relationships that young Innovative Companies in Finland have: (1) directly with individuals and financing organizations, (2) with individuals, other organizations and financing organizations within their reach, and (3) with people and organizations interacting with them. They show that Young Innovative Companies already have connections (both direct and indirect ones) with a number of individuals and organizations through which they can access resources and interact with resources needed for their growth and success, and due to the nature of data from social media, these visualizations are rather timely snapshots. Hence, we want to highlight that the results are often not generalizable or conclusive. This should not come as a surprise when taking into account the complex, paradoxical and contextsensitive nature of innovation. First, we evaluated the process and results internally. Initially, we explored the fact that not all Young Innovative Companies were found in the IEN dataset. Through the analysis of their websites, we found out that only a few of the companies did not have their web site in English and that most of them actively issue press releases and news to communicate about them (also in English)—therefore they seem to be actively gearing for international communication and presence, and have the potential for being added into the IEN dataset, furthermore demonstrating the applicability of using the IEN dataset for analysing this sample of the Finnish innovation ecosystem. However, to be included into the IEN dataset requires activities of individuals for recognizing and adding entities to it (either within or outside of the companies), which means that we acknowledge that there are individuals, companies, and financing organizations missing from it, which can be explained with the concept “public bias”. In addition, we addressed the limited connections that are visible in the IEN dataset: for example, we know that certain individuals are married, have gone to school together, and might be neighbors—these connections are not visible in the IEN dataset nor in Twitter data, altogether highlighting the fact that some actions take place in social media or can be traced through social media and some remain outside of it. As our proposition is that the network visualizations can provide insights for Young Innovative Companies as well as for the ecosystem trying to support them, we then presented the visualizations to experts of the Finnish innovation ecosystem at Tekes for their evaluation, and discussed the value of the process and the results with them. We noted that as network analysis and visualizations are not traditional ways of exploring innovation, the first reaction was “interesting, fascinating”, followed by questions (1) about the methods of producing the visualization: Why is this individual node so big? What do these different colors of line mean? and (2) about the meaning of the overall results: Is this 313
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Proceedings of the 7th European Con
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Contents Paper Title Author(s) Page
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Paper Title Author(s) Page No. Netw
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Paper Title Author(s) Page No. Impa
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Preface These proceedings represent
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UK); Erdei Gábor (University of De
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and innovation management and strat
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neering and Cost Analysis, at under
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Izold Guihur is a professor of mana
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Bala Mulloth is an assistant profes
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Jiro Usugami is a Professor of Mana
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Ioannis Akritidis and Alexandros Ka
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Service Design Systems Driven Innov
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Mohammed AlSudairi and TGK Vasista
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Christos Apostolakis, José Carlos
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Certifying Innovation: A Proposal f
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3. The certification of IMS Anna Ar
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Anna Arnò, Stefano De Falco and Gu
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Anna Arnò, Stefano De Falco and Gu
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The Main Drivers of Financial Innov
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Claudia Gabriela Baicu, Olimpia Sta
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Fernando Barbosa and Fernando Romer
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Maria de Lurdes Calisto and Soumodi
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2. Innovation Luísa Carvalho, Tere
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Luísa Carvalho, Teresa Costa and S
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Enterprise Potential of Portuguese
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Maria Isabel Carvalho et al. Peterm
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Maria Isabel Carvalho et al. � H5
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Maria Isabel Carvalho et al. 325 re
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Maria Isabel Carvalho et al. Since
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Maria Isabel Carvalho et al. Lee, L
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Adina Catana and Lavinia Delcea the
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Adina Catana and Lavinia Delcea Wit
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Adina Catana and Lavinia Delcea Sou
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Adina Catana and Lavinia Delcea 2.3
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Adina Catana and Lavinia Delcea 201
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The use of Multi-Criteria Analysis
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Piotr Chwastyk innovation. Stage-Ga
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Piotr Chwastyk participation of a t
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Piotr Chwastyk properly conducted a
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Ana Cordeiro and Filipa Vieira Comp
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Ana Cordeiro and Filipa Vieira The
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Ana Cordeiro and Filipa Vieira With
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Ana Cordeiro and Filipa Vieira Comt
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Teresa Costa and Luísa Carvalho ac
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Teresa Costa and Luísa Carvalho or
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Project name Public target “Capit
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Teresa Costa and Luísa Carvalho Ta
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Appendix 1: Interview guide Referen
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Does it Make Sense to go Against "S
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Oscar Cristi, José Ernesto Amorós
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Pat Daly and James Walsh organisati
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Pat Daly and James Walsh positive i
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Pat Daly and James Walsh Having int
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Pat Daly and James Walsh McGrath, R
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Luc De Grez and Dirk Van Lindt succ
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3.3 Method Luc De Grez and Dirk Van
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Luc De Grez and Dirk Van Lindt Wilc
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Nanotechnologies and Eco-Innovation
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Aurelie Delemarle and Claire Auplat
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Carine Deslee are concerned. We wil
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Carine Deslee Innovation. Its aim i
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Carine Deslee of how Participative
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Carine Deslee To conclude, we show
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Motivations and Attitudes Towards F
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Anca Otilia Dodescu et al. business
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Anca Otilia Dodescu et al. intuitio
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Anca Otilia Dodescu et al. funding
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Fostering SMEs and Innovation: Chal
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Anca Dodescu establishing an effici
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Anca Dodescu performance external t
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Acknowledgments Anca Dodescu The pa
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Entrepreneurial Capital: The Experi
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Thomas Domboka performance of their
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Thomas Domboka What seemed apparent
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Belonging to business Associations
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Thomas Domboka comparative study wi
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Carolyn Downs Lambros Lazuras and P
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Fostering Creativity and Innovation
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Claudia Erni Baumann, Frank Zoller
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Entrepreneurial Attitudes and Perce
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3. Methodology 3.1 Data Paula Odete
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Country Paula Odete Fernandes, Joã
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Paula Odete Fernandes, João Ferrei
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Paula Odete Fernandes, João Ferrei
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Potentialities of Public eProcureme
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Isabel Ferreira and Luís Alfredo A
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Ana Ferreira et al. micro gas turbi
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Ana Ferreira et al. Figure 1: Portu
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3.2 Benefits of micro-CHP Ana Ferre
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Ana Ferreira et al. Figure 3: Growt
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The Influence of Innovative Capacit
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3. Methodology Sample and Data Joã
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João Ferreira, Mário Raposo and C
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Stelian-Cornel Florica and George D
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Brendan Galbraith et al. Competiven
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Brendan Galbraith et al. The proces
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References Brendan Galbraith et al.
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Where are They now? A Entrepreneurs
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Laura Galloway, Isla Kapasi and Geo
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6. Discussion Laura Galloway, Isla
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Page 284 and 285: Oleg Golichenko and Svetlana Samovo
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Page 326 and 327: Takashi Hirao and Yusuke Hoshino ma
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Page 330 and 331: Jukka Huhtamäki et al. innovation
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5. Ontology-based asymmetry Jussi K
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Table 2: Knowledge innovation scope
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Fusing Technology, Innovation and E
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Panayiotis Ketikidis et al. industr
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Panayiotis Ketikidis et al. 3.4 Pro
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Panayiotis Ketikidis et al. dissemi
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Panayiotis Ketikidis et al. variety
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Developing Øresund Region’s Inno
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3. Methodology Peter Kiryushin, Bal
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Peter Kiryushin, Bala Mulloth and T
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Peter Kiryushin, Bala Mulloth and T
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At the Intersection of Dynamic Capa
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3. Hypothesis development İpek Ko
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Organizational Learning Capability
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İpek Koçoğlu; Salih Zeki İmamo
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İpek Koçoğlu; Salih Zeki İmamo
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The Significance of the LGBT-Commun
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Thomas Köllen, Regine Bendl and Sa
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Crowdinvesting, an Innovative Optio
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Hanno Kortleben and Bernhard Vollma
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Hanno Kortleben and Bernhard Vollma
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Appendix 1 Hanno Kortleben and Bern
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References Hanno Kortleben and Bern
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2. Quality management in services Y
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Yvonne Lagrosen and Stefan Lagrosen
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Yvonne Lagrosen and Stefan Lagrosen
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Innovation and Entrepreneurship Stu
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Hans Landström, Gouya Harirchi and
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Exploring Regulatory Focus, Entrepr
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Zaidatol Akmaliah Lope Pihie, Afsan
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The Size of an Enterprise and Enhan
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Ladislav Ludvík and Jindra Peterko
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MariaJesus Luengo and Maria Obeso I
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MariaJesus Luengo and Maria Obeso O
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MariaJesus Luengo and Maria Obeso A
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MariaJesus Luengo and Maria Obeso s
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A Proposal for a Standard With Innovation Management System

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