An Overview of Models of Distributed Innovation
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EU MACS D14 Submitted 31102017 Corrected 171109
A multi-layer exploration on innovations for climate services markets H2020 – SC5-03b Research and Innovation Action Grant agreement EU-MACS European Market for Climate Services 730500 10/31/2017 Deliverable 1.4 Version 1.0 (integrated) Dissemination level: Due date of delivery: 31 MAY 2017 Public Actual date of delivery: 31 OCTOBER 2017 Lead beneficiary: UT Lead author(s): Peter Stegmaier, Klaasjan Visscher A multi-layer exploration on innovations for climate services markets – EU-MACS D1.4 Version table Date Name, Party Description 29 May 2017 Stegmaier, Peter Interim version outlining the structure of the argument; with collection of first findings from drafts of D1.1, D1.2, and D1.3 27 June 2017 Stegmaier, Peter Interim version including first experi- ences from pilot workshop in Helsinki 21 August 2017 Stegmaier, Peter Interim version outlining the suite of in- teractional formats derived from multi-layer view on climate services in WP3 and WP4 25 September 2017 Stegmaier, Peter Draft version for EU-MACS internal review 16 October 2017 Stegmaier, Peter Draft version for UT-internal 25 October 2017 Stegmaier, Peter Final version 30 October 2017 Perrels, Adriaan Pre-final check before submission 30 October 2017 Stegmaier, Peter Final check before submission Internal review table Date Name, Party Description 2 October 2017 Jörg Cortekar Comments, suggestions 10 October 2017 Adriaan Perrels Comments, suggestions 23 October 2017 Adriaan Perrels Comments, suggestions 23 October 2017 Klaasjan Visscher Comments, suggestions 25 October 2017 -
The Digital Society New Ways to More Transparency, Participation and Current Issues August 1, 2011 Innovation
The digital society New ways to more transparency, participation and Current Issues August 1, 2011 innovation Digital structural change. The increasing use of modern network technologies is changing people’s daily social and economic lives. Today, anyone and everyone can engage interactively in digital spaces. This is giving rise to both new forms of participation and new patterns of value creation, accompanied by a shift in power towards citizen and consumer sovereignty. Digital structural change is encouraging the following open source movements in particular: Trend research Trend (Corporate) Social Media. Social networking platforms are penetrating all spheres of life. At the corporate level this is redistributing control over communications towards the internet community. Whilst businesses and organisations can benefit from the powerful ‘recommendation web’, they are also losing some of their control over customers and their communication sovereignty. This is making corporate communications more authentic and informal. Open Innovation. Interactive value creation can make companies more innovative by integrating external specialists’ and communities’ knowledge and creativity into internal processes. The more external ideas that are incorporated, the greater are the potential combinations to create something new. But open innovation also involves risks because classic value creation patterns have to be broken up and modernised with new strategies and, most importantly, with new interaction competencies. Open Government. Political institutions and government agencies are likewise opening up to increased civic engagement. The public data made available can give rise to new applications and business models. Where interaction takes place and government receives external feedback, new collaborative and participatory models are able to evolve between government and citizens. -
Interplay of Network Structure and Neighbour Performance in User Innovation
ARTICLE https://doi.org/10.1057/s41599-019-0383-x OPEN Interplay of network structure and neighbour performance in user innovation Kunhao Yang1*, Itsuki Fujisaki1,2 & Kazuhiro Ueda1* ABSTRACT Previous studies showed that regular users have become an important source of innovation (called user innovation). Previous studies also suggested that two factors have significant impacts on user innovation: the social network structure of the users and neigh- ’ 1234567890():,; bours innovation performance (neighbours mean users having interactions with the focal user). However, in these studies, the influence of the two factors were only discussed separately, and it remained unclear whether these two factors interdependently affected a focal user’s innovation. To examine the interplay between the network structure and the neighbours’ innovation performance, we harnessed data sets from “Idea Storm”, which col- lects data on user network and idea submission. Through panel regression analyses, we found that—within an open-network structure—the higher innovation performance of neighbours has a larger positive impact on the focal user’s innovation ability. Conversely, in an enclosed network structure, neighbours’ higher performance has a larger negative impact on the focal user’s innovation ability. Our findings filled an important gap in understanding the interplay between the network structure and the neighbours’ performance in user innovation. More broadly, these results suggested that the interplay between the neighbours and the network structures merits attention that even goes beyond user innovation. 1 Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan. 2 Research Fellowship for Young Scientists (DC2), Japan Society for the Promotion of Science (JSPS), Tokyo, Japan. -
Making Open Innovation Ecosystems Work Case Studies in Healthcare
Innovation Series Making Open Innovation Ecosystems Work Case Studies in Healthcare Donald E. Wynn, Jr. Renée M. E. Pratt Randy V. Bradley University of Dayton University of University of Tennessee, Massachusetts Amherst Knoxville Innovation Series 2015 Making Open Innovation Ecosystems Work: Case Studies in Healthcare Donald E. Wynn, Jr. University of Dayton Renée M. E. Pratt University of Massachusetts Amherst Randy V. Bradley University of Tennessee, Knoxville MAKING OPEN INNOVATION ECOSYSTEMS WORK: CASE STUDIES IN HEALTHCARE www.businessofgovernment.org Table of Contents Foreword . 4 Executive Summary . 6 Introduction . 8 Open Innovation . 9 Technological Ecosystems . 10 Five Key Elements to Managing an Organization’s Ecosystem . 11 Achieving Open Innovation with Technological Ecosystems . 14 Creating an Open Innovation Ecosystem: The U.S. Department of Veteran Affairs and Open Source Electronic Health Record Alliance . 15 Background . 15 Evaluating the VistA Ecosystem . 17 Joining an Open Innovation Ecosystem: The West Virginia Department of Health and Human Resources . 22 Background . 22 Evaluating the West Virginia Ecosystem . 24 Best Practices . 27 Resources . 27 Participant Characteristics . 28 Relationships Among Members . 29 Ecosystem Organization . 29 External Environment . 30 Conclusion . .. 32 References . .. 33 About the Authors . 34 Key Contact Information . 35 3 MAKING OPEN INNOVATION ECOSYSTEMS WORK: CASE STUDIES IN HEALTHCARE IBM Center for The Business of Government Foreword On behalf of the IBM Center for The Business of Government, we are pleased to present Making Open Innovation Ecosystems Work: Case Studies in Healthcare, by Donald E . Wynn, Renee M .E . Pratt, and Randy V . Bradley . The challenge of innovation has received increased attention in recent years in both the public and private sectors . -
Big Data for the Social Good
Big data for the social good By Professor Dino Pedreschi, Fosca Giannotti, Valerio Grossi, and Roberto Trasarti – University of Pisa (Department of Computer Science), and Institute of Science and Technology of Informatics ‘A. Faedo’ / Cyber Kristiyan / Cyber Source: Shuterstock Source: Most people will agree that during the last two decades data have become an ever more present part of our lives, whether it is in our communication, our analysis or decision-making. Dino Pedreschi is Professor of Computer Science at the University of Pisa and a pioneering scientist in mobility data mining, social network mining and privacy-preserving data mining. Together with his colleagues Fosca Giannotti, Valerio Grossi and Roberto Trasarti – respectively director and researchers at CNR in Pisa – he gives an overview of some key issues relating to data. The authors consider the advent of big data is an opportunity for boosting social progress, and Arti!cial Intelligence tools are triggering new services with a clear impact on our daily life. They also touch upon how big data and AI help us to make more informed choices, underlining the need to achieve collective intelligence without compromising the rights of individuals. From data to knowledge In order to understand the role of data in our society, let’s start by talking about the word datum. It comes from the Latin for ‘something given,’ and the Oxford English Dictionary de!nes it as a ‘piece of information,’ ‘as a fact’. Our life is a generator of facts that can be stored and analysed. Human interactions leave traces of our phone calls or emails in our social networks. -
Paths to Innovation in Culture Paths to Innovation in Culture Includes Bibliographical References and Index ISBN 978-954-92828-4-9
Paths to Innovation in Culture Paths to Innovation in Culture Includes bibliographical references and index ISBN 978-954-92828-4-9 Editorial Board Argyro Barata, Greece Miki Braniste, Bucharest Stefka Tsaneva, Goethe-Institut Bulgaria Enzio Wetzel, Goethe-Institut Bulgaria Dr. Petya Koleva, Interkultura Consult Vladiya Mihaylova, Sofia City Art Gallery Malina Edreva, Sofia Municipal Council Svetlana Lomeva, Sofia Development Association Sevdalina Voynova, Sofia Development Association Dr. Nelly Stoeva, Sofia University “St. Kliment Ohridski” Assos. Prof. Georgi Valchev, Deputy Rector of Sofia University “St. Kliment Ohridski” Design and typeset Aleksander Rangelov Copyright © 2017 Sofia Development Association, Goethe-Institut Bulgaria and the authors of the individual articles. All rights reserved. No part of this work may be reproduced in any form or by any means without permission in writing from the publisher. Contents Foreword .................................................................................................................... 6 Introduction: Paths to Innovation in Culture ....................................................... 8 Digital and Tech Innovation in Arts and Culture Vladiya Mihaylova, Overview ...............................................................................15 Stela Anastasaki Use of Mobile Technologies in Thessaloniki’s Museums. An Online Survey 2017 ..................................................................................... 17 Veselka Nikolova Digital Innovation in Culture ......................................................................... -
Curriculum Vitae February 17, 2021
Cyrus C. M. Mody Curriculum Vitae February 17, 2021 Employment: Full Professor, Chair in the History of Science, Technology, and Innovation, Maastricht University, 2015-present Associate Professor, Department of History, Rice University, 2014-2015 Assistant Professor, Department of History, Rice University, 2007-2014 Program Manager, Nanotechnology and Innovation Studies, Center for Contemporary History and Policy, Chemical Heritage Foundation, 2005-2007 Other affiliations: Fellow, Center for Contemporary History and Policy, Science History Institute (formerly Chemical Heritage Foundation), 2007-present External collaborator, Center for Nanotechnology in Society, University of California – Santa Barbara, 2005-2016 Rice Cultures of Energy Mellon/Sawyer Seminar participant, 2012-13/member of Rice Center for Energy and Environmental Research in the Human Sciences, 2013-2015 Degrees: Ph.D., Cornell University, in Science and Technology Studies, August 2004 M.A., Cornell University, in Science and Technology Studies, January 2001 A.B., Harvard University, (magna cum laude) in Engineering Sciences, June 1997 Fellowships and awards: (with Raphaël Lévy, Willem Halffman, and Cyril Labbé) European Research Council Synergy award NANOBUBBLES, project 951393, 2021-2026 Netherlands Organization for Scientific Research Vici grant, “Managing Scarcity and Sustainability: The Oil Industry, Environmentalism, and Alternative Energy in the Age of Scarcity,” VI.C.191.067, 2020-2025 (with Andrew Nelson) Distinguished Contribution to Electrotechnical History, -
Digital Innovation: a Review and Synthesis
Received: 14 December 2017 Revised: 28 January 2018 Accepted: 29 January 2018 DOI: 10.1111/isj.12193 RESEARCH ARTICLE Digital innovation: A review and synthesis Rajiv Kohli1 | Nigel P. Melville2 1 Raymond A. Mason School of Business, College of William & Mary, PO Box 8795, Abstract Williamsburg, VA, USA Organizations are under increasing pressure to apply digital technol- 2 Stephen M. Ross School of Business, ogies to renew and transform their business models. A great deal of University of Michigan, Ann Arbor, MI, USA research has examined specific phenomena, such as adoption ante- Correspondence cedents and design methods. However, it is unclear what we know Rajiv Kohli, Raymond A. Mason School of in totality, including what research streams exist, how they fit Business, College of William & Mary, PO Box 8795, Williamsburg, VA, USA. together, and fruitful opportunities for new knowledge develop- Email: [email protected] ment. We combine scientometric and systematic literature review methodologies to examine 7 dimensions of an adapted theoretical framework: initiation; development; implementation; exploitation; the role of the external competitive environment; role of internal organizational environment; and product, service, and process out- comes. From a macro perspective, we find vastly uneven coverage of research streams, diversity and diffusiveness of research, and knowledge and learning as an underlying conceptual pillar. Com- bined with our summary of each of the 7 research streams, these findings suggest several areas of future research, which we develop by identifying oppositions and tensions. KEYWORDS agency, digital, innovation, scientometrics 1 | INTRODUCTION Organizations are under increasing pressure to apply digital technologies to renew and transform their business models. -
Digital Innovations in Rural Micro-Enterprises T ∗ Jaana Räisänen , Tero Tuovinen
Journal of Rural Studies 73 (2020) 56–67 Contents lists available at ScienceDirect Journal of Rural Studies journal homepage: www.elsevier.com/locate/jrurstud Digital innovations in rural micro-enterprises T ∗ Jaana Räisänen , Tero Tuovinen Faculty of Information Technology, University of Jyväskylä, P.O. Box 35, FI-40014, Jyväskylä, Finland ARTICLE INFO ABSTRACT Keywords: Digitalization gives micro-enterprises and rural areas new possibilities and it can support their competitiveness. Urban-rural digital divide In this paper, we have presented one way of supporting the diffusion and adoption of digital innovations in rural Digitalization micro-enterprises. First, we examined the challenges and digital competence of the micro-enterprises in the rural Digital innovation areas of Central Finland to better understand what they needed. The second step was to develop a workshop Innovation diffusion concept. Theories of innovation diffusion and adoption were used as a base for these workshops. The laststep Innovation adoption was to evaluate the developed concept, its effects and challenges. We found that the workshop concept worked well for spreading information, for encouraging a positive attitude towards digital innovations, and for planning the use of innovations. Important factors in order for this concept to work were trust, communication, and changing the roles of agents and opinion leaders. 1. Introduction et al., 2017) and Townsend et al. (2013) studied rural development in the digital age, and found that faster internet technologies may actually The digital divide of rural and urban areas is still a current issue increase the urban-rural digital divide, because faster internet tech- (Park, 2017; Veselovsky et al., 2018; Salemink et al., 2017). -
Benefits of Early Adopter Feedback in Innovation Commercialisation
Benefits of Early Adopter Feedback in Innovation Commercialisation Final Report Dr Dilupa Nakandala Dr Hilal Hurriyet Dr Neil Perry 15 October 2020 School of Business Contact A/Prof Dilupa Nakandala for further information. Email: [email protected], Telephone: +61 2 9685 9477 To cite this report: Nakandala, D., Hurriyet, H., & Perry, N. (2020). Benefits of Early Adopter Feedback in Innovation Commercialisation. Western Sydney University. https://doi.org/10.26183/9z9w-cg67 2 About Western Sydney University Our Mission is to be a university of international standing and outlook, achieving excellence through scholarship, teaching, learning, research and service to local and international communities, beginning with the people of Greater Western Sydney. Gateway provides support for business, industry, community and government organisations: Website: https://www.westernsydney.edu.au/gateway Email: [email protected] Research and Engagement in the School of Business The School of Business is committed to conducting leading edge research, resulting in the creation of new knowledge that enriches our teaching, fosters social and economic outcomes and has relevance and importance locally, nationally and internationally. The School collaborates with industry, government, community groups and other universities to produce high quality applied research that generates economic, environmental and social benefits. 3 Acknowledgement This research was funded by the School of Business, Western Sydney University under the Priority Research Initiative (PRI) Grant Scheme. The project is part of the ‘Innovation, Technology and Supply Chain Management Research for Business Growth and Competitiveness (INTUIT)’ PRI program. We thank the Regional Development Australia - Sydney, Blacktown City Council, Penrith City Council, Cumberland City Council, and Goulburn Mulwaree Council for their support in connecting us with innovative firms. -
Introducing the New Era of Lead User Innovation Andrew Leary | Sandro Kaulartz
January 2019 Introducing the New Era of Lead User Innovation Andrew Leary | Sandro Kaulartz 1 Who drives Innovation? Innovation research has long shown that ‘lead user’ new reality. As represented in the figure below, they customers, not producers, are the real pioneers who must develop methods to systematically find, screen, create many radically new products and services. and commercialize lead user-developed innovations in Essentially all sports, such as skateboarding, mountain addition to creating new product concepts in-house. biking and windsurfing were developed and pioneered Searching for Lead User Innovations is not a new first by these who participated in them. These concept. Pioneered by Professor von Hippel over 30 individuals, or lead users, collaborated to build their years ago, it has since been studied and developed by own equipment, techniques, rules, and contests for hundreds of academics and practitioners. However, its years before producers got involved. And surveys practical value has long suffered because of the cost of show that the same is true for every consumer product finding these kinds of innovations. category (von Hippel, 2017), both for initial innovations and product modifications. Today, we claim that semantic algorithms applied to the universe of user-generated content can significantly For example, the first personal computers were improve the efficiency and expense of identifying developed by lead users. So were the first personal commercially promising Lead User Innovations in 3D printers. Even new hair styles, from mohawks to consumer goods fields. dying hair bright colors - or more recently grey - come about because of those first pioneering ‘users’ who set In a recent R&D study conducted with Eric von Hippel the trends. -
Exploring Design Space Through Remixing
1 Exploring Design Space through Remixing YUE HAN AND JEFFREY V. NICKERSON, Stevens Institute of Technology 1. INTRODUCTION Open innovation [Chesbrough 2006] sometimes performs better than traditional company-based innovation [Hippel and Krogh 2003, Poetz and Schreier 2012]. Open innovation communities promote collective intelligence by providing members platforms to design and create use-generated content. Among these communities, many have incorporated a system to encourage users to modify each other’s work in a process called remixing [Lessig 2014]. Remixing continues to evolve in open innovation communities including Github [Dabbish et al. 2012], Scratch [Hill and Monroy-Hernández 2013], Thingiverse [Kyriakou and Nickerson 2014], and ccMixer [Cheliotis and Yew 2009]. Remixing in online communities relies on a small number of technical features [Nickerson 2014], and understanding the way these features are used may help us design more productive online communities. Remixing can be thought of as a form of product evolution [Nickerson and Yu 2012]: Together a community explores a design space of possibilities, starting from the many designs already created. 2. EXPLORATORY STUDIES In our first study, we analyzed projects on Scratch.mit.edu to understand how users explored the design space. Scratch is a programming language created by the Lifelong Kindergarten Group at the MIT Media Lab [Resnick et al. 2009]. Scratch.mit.edu is an online community in which users, mainly youth, create, share and remix projects using Scratch. The projects selected in our study are created after 2013, when Scratch 2.0 was launched, because the raw project code is readily available in text format, allowing us to compute distance measures.