The private-collective innovation model proposes incentives for individuals and firms to privately invest resources to create public goods innovations. Such innovations are characterized by non-rivalry and non-exclusivity in consumption. Examples include open source software, user-generated media products, drug formulas, and sport equipment designs. There is still limited empirical research on private-collective innovation. We present a case study to 1) provide empirical evidence of a case of private-collective innovation, showing specific benefits, and 2) to extend the private-collective innovation model by analyzing the hidden costs for the company involved. We examine the development of the Nokia Internet Tablet, that builds on both proprietary and open source software development, and that involves both Nokia developers and volunteers who are not employed by the company. Seven benefits for Nokia are identified, as are five hidden costs: difficulty to differentiate, guarding business secrets, reducing community entry barriers, giving up control, and organizational inertia. We examine actions taken by the management to mitigate these costs throughout the development period. Extending Private-Collective Innovation:A case studyThe private-collective innovation model proposes incentives for individuals and firms to privately invest resources to create public goods innovations. Such innovations are characterized by non-rivalry and non-exclusivity in consumption. Examples include open source software, user-generated media products, drug formulas, and sport equipment designs. There is still limited empirical research on private-collective innovation. We present a case study to 1) provide empirical evidence of a case of private-collective innovation, showing specific benefits, and 2) to extend the private-collective innovation model by analyzing the hidden costs for the company involved. We examine the development of the Nokia Internet Tablet, that builds on both proprietary and open source software development, and that involves both Nokia developers and volunteers who are not employed by the company. Seven benefits for Nokia are identified, as are five hidden costs: difficulty to differentiate, guarding business secrets, reducing community entry barriers, giving up control, and organizational inertia. We examine actions taken by the management to mitigate these costs throughout the development period.

The modern age has heralded a shift from the industrial society, in which natural resources are crucial input factors for the economy, towards a knowledge society. To date, sustainability literature has treated knowledge—and in particular digital artifacts—mainly as a means to the end of achieving sustainable development. In this conceptual paper, we argue that digital artifacts themselves ought also to be considered as resources, which also need to be sustainable. While over-consumption is a problem facing natural resources, with sustainable digital artifacts, underproduction, and underuse are the biggest challenges. In our view, the sustainability of digital artifacts improves their potential impact on sustainable development. A theoretical foundation for digital artifacts and their ecosystem allows us to present the relevant research on digital information, knowledge management, digital goods, and innovation literature. Based on these insights, we propose ten basic conditions for sustainable digital artifacts and their ecosystem to ensure that they provide the greatest possible benefit for sustainable development. We then apply those characteristics to four exemplary cases: Linux kernel development, Bitcoin cryptocurrency, the Wikipedia project, and the Linking Open Drug Data repositories. The paper concludes with a research agenda identifying topics for sustainability scholars and information systems academics, as well as practitioners. A number of suggestions for future studies on digital sustainability are also put forward.

In smart city contexts, voluntary citizen reporting can be a particularly valuable source of information for local authorities. A key question in this regard is what motivates citizens to contribute their data. Drawing on motivation research in social psychology, the paper examines the question of whether self-concern or otherorientation is a stronger driver of citizen reporting engagement. To test their hypotheses, the authors rely on a sample of users from the mobile application ''Zurich as good as new'' in Switzerland, which enables citizens to report damages in and other issues with the city's infrastructure. Data was collected from two different sources: motivation was assessed in an online user survey (n = 650), whereas citizen reporting engagement was measured by the number of reports per user from real platform-use data. The analysis was carried out using negative binomial regression. The findings suggest that both self-concern and other-orientation are significant drivers of citizen reporting engagement, although the effect of self-concern appears to be stronger in comparison. As such, this study contributes to a better understanding of what motivates citizens to participate in citizen reporting platforms, which are a cornerstone application in many smart cities.

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Previous studies on issue tracking systems for open source software (OSS) focused mainly on requests for bug fixes. However, requests to add a new feature or an improvement to an OSS project are often also made in an issue tracking system. These inquiries are particularly important because they determine the further development of the software. This study examines if there is any difference between requests of the IBM developer community and other sources in terms of the likelihood of successful implementation. Our study consists of a case study of the issue tracking system BugZilla in the Eclipse integrated development environment (IDE). Our hypothesis, which was that feature requests from outsiders have less chances of being implemented, than feature requests from IBM developers, was confirmed.