Abstract
1- Introduction
2- Theoretical foundation
3- Methodology
4- Findings
5- Discussion, implications, and future research directions
References
Abstract
he development of smart cities is becoming more and more based on knowledge management (KM) frameworks. This leads to new managerial challenges, which reflect the complexity of KM governance and processes issues of smart city projects as well as the need to manage knowledge that originates both within and beyond projects' boundaries. However, in-depth research on the development of smart cities from a managerial and KM perspective has remained scant. In detail, although universities are deemed to be responsible for the competitiveness and superiority of knowledge-based ecosystems, like smart city projects, the different roles they play in such projects when dealing with KM governance and processes issues are still understudied. Therefore, by conducting an exploratory case study of 20 smart city projects, this paper aims to scrutinize how universities manage the KM governance issue when internal knowledge is used, the KM governance issue when external knowledge is used, the KM processes issue when internal knowledge is used, and the KM processes issue when external knowledge is used. Results reveal that universities act as knowledge intermediaries, knowledge gatekeepers, knowledge providers, and knowledge evaluators.
Introduction
Following the principles of the knowledge economy, the Organization for Economic Cooperation and Development (OECD) and the European Union (EU), among others, have adopted knowledge management (KM) frameworks in their strategic directions for global and local development (Angelidou, 2015). This paradigm shift in strategic planning has strongly influenced urban development, with the result that knowledge is now conceived as the core component that makes cities smart (Bakici et al., 2013; Hollands, 2008). Accordingly, we hereafter refer to smart cities as “the result of knowledge-intensive and creative strategies aiming at enhancing the socio-economic, ecological, logistic and competitive performance of cities” (Kourtit and Nijkamp, 2012:3). In turn, the rationale underlying the so-called knowledge-based urban development (KBUD) approach is becoming more and more prevalent for the design and implementation of smart city projects (e.g. Yigitcanlar, 2010; Yigitcanlar and Velibeyoglu, 2008).