Open IT-Based Innovation: Moving Towards Cooperative IT Transfer and Knowledge Diffusion

1. Front Matter

   Pages i-xiv

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2. Studies on Diffusion and Adoption

   1. The Diffusion of Research on the Adoption and Diffusion of Information Technology

      • Yogesh K. Dwivedi, Michael D. Williams, Banita Lal

      Pages 3-22

   2. Citation Patterns in MIS: An Analysis of Exemplar Articles

      • Tor J. Larsen, Linda Levine

      Pages 23-38

   3. Understanding the Diffusion and Adoption of Telecommunication Innovations: What We Know and What We Don’t Know

      • Heidi Tscherning, Jan Damsgaard

      Pages 39-60

3. Key Aspects in Innovation

   1. Explicit as Enabler for Understanding the Tacit

      • Anna Börjesson Sandberg, Carl Magnus Olsson

      Pages 63-82

   2. Applying Usage Models to Innovate Information Technology Solutions

      • Sigal Louchheim, Petra Langwald, Judy Ossello

      Pages 83-96

   3. Seeking the Face of Innovation with the Ethical Compass of Emmanuel Lévinas

      • Gabriel J. Costello, Brian Donnellan

      Pages 97-117

4. Cross-Organizational and Cultural Issues

   1. Effects of Cultural Orientation on Attitude Toward Anonymity in E-Collaboration

      • Yingqin Zhong, Na Liu, John Lim

      Pages 121-138

   2. Exploring the Influence of Collectiveness on Value Creation Adoption in an Information Technology Organization

      • Chalee Vorakulpipat, Yacine Rezgui

      Pages 139-157

   3. Interorganizational Systems Adoption: A Socio-Technical Perspective

      • Deborah Bunker, Karlheinz Kautz, Clayton Pyne

      Pages 159-175

5. Analysis of Cases

   1. Technological Frame Incongruence, Diffusion, and Noncompliance

      • Polly Sobreperez

      Pages 179-196

   2. Xenia: A Metaphor for Sense-Making and Acting in Information Systems Innovation

      • Allen Higgins, Simeon Vidolov, Frank Frößler, Doreen Mullaney

      Pages 197-209

   3. Who Has the Power Over Spaces of Innovation? The Role of Technology in ICT-Triggered Change Processes

      • Anneli Linde, Henrik C. J. Linderoth

      Pages 211-226

6. Open Innovation Experiences

   1. Deciding on Open Innovation: An Exploration of How Firms Create and Capture Value with Open Source Software

      • Lorraine Morgan, Patrick Finnegan

      Pages 229-246

   2. Knowledge Diffusion in ERP Development: The Case of Open Source ERP Downloads

      • Björn Johansson

      Pages 247-259

   3. Toward a User Driven Innovation for Distributed Software Teams

      • Liaquat Hossain, David Zhou

      Pages 261-270

7. Design Science and Cases in IT

   1. Homeward Bound: Ecological Design of Domestic Information Systems

      • David G. Wastell, Juergen S. Sauer, Claudia Schmeink

      Pages 273-290

   2. The Role of Competencies and Interests in Developing Complex Information Technology Artefacts: The Case of a Metering System

      • Diego Ponte, Alessandro Rossi, Marco Zamarian

      Pages 291-308

   3. The Vehicle Ecosystem

      • Jonas Kuschel

      Pages 309-322

8. Case Studies in Telecommunications

   1. Examining Factors Influencing the Behavioral Intention to Adopt Broadband in Malaysia

      • Yogesh K. Dwivedi, Mohamad H. Selamat, Muhammad S. Abd Wahab, Mohd A. Mat Samsudin, Banita Lal

      Pages 325-342

th The 11 Working Conference of IFIP WG 8.6, Open-IT Based Innovation: Moving Towards Cooperative IT Transfer and Knowledge Diffusion, organized in Madrid in October 22–24, 2008, follows the series started in Oslo in 1995 and continues in the footprints of the past year’s conference in Manchester. This year, although the Madrid Conference addresses the usual topics covered in previous WG8.6 conferences, the emphasis is on the issue of open innovation and its relationships with technology transfer and diffusion in the field of information technology. This issue is deeply modifying the way that knowledge is generated, shared, transferred, diffused, and used across the world as a side effect of globalization. It affects the organizational structure, partnerships, roles assumed by stakeholders, and technology transfer and diffusion models and instruments. Industry, academia, and governments are simultaneously concerned. Although the concept applies to all industrial sectors, IT companies were early innovators. The analysis of the contents of this book allows the identification of some trends in technology transfer and diffusion issues as a part of the innovation process. The same problem is addressed in very different ways and extrapolation is not straightforward. Even innovation terminology is not clearly shared by different subcultures in the field.

• artificial intelligence
• computer
• computer science
• human-computer interaction
• human-computer interaction (HCI)
• modeling
• optimization
• system modeling

• Universidad Politécnica de Madrid, Madrid, Spain

  Gonzalo León, Ana M. Bernardos, José R. Casar

• Copenhagen Business School, Frederiksberg, Denmark

  Karlheinz Kautz

• University of Minnesota, Minneapolis, USA

  Janice I. Gross

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