The potential of technological innovation to address urban sustainability has been widely acknowledged over the last decade. Across cities globally, local governments have engaged in partnership arrangements with the private sector to initiate pilot projects for urban innovation, typically co-funded by innovation subsidies. A recurring challenge however is how to scale up successful projects and generate more impact. Drawing on the business and management literature, we introduce the concept of organizational ambidexterity to provide a novel theoretical perspective on sustainable urban innovations. We examine how to align exploration (i.e., test and experiment with digital technologies, products, platforms, and services) with exploitation (i.e., reaping the financial benefits from digital technologies by bringing products, platforms, and services to the market), rooted in the literature on smart cities. We conclude that the concept of ambidexterity, as elaborated in the business and management literature and practiced by firms, can be translated to the city policy domain, provided that upscaling or exploitation in a smart city context also includes the translation of insights from urban experiments, successful or not, into new routines, regulations, protocols, and stakeholder/citizen engagement methods.
In many cities, pilot projects are set up to test or develop new technologies that improve sustainability, urban quality of life or urban services (often labelled as “smart city” projects). Typically, these projects are supported by the municipality, funded by subsidies, and run in partnerships. Many projects however die after the pilot stage, and never scale up. Policymakers on all levels consider this as a challenge and search for solutions. In this paper, we analyse the process of upscaling, focusing on smart city projects in which several partners –with different missions, agenda’s and incentives- join up. First, we review the extant literature on upscaling from development studies, business studies, and the transition management literature. Based on insights from these literatures, we identify three types of upscaling: roll-out, expansion and replication, each with their own dynamics, context sensitivity and scaling barriers. We illustrate the typology with recent smart city projects in Amsterdam. Based on desk research and in-depth interviews with a number of project stakeholders and partners of the Amsterdam Smart City platform, we analyse three projects in depth, in order to illustrate the challenges of different upscaling types. i) Energy Atlas, an EU-funded open data project in which the grid company, utilities and local government set up a detailed online platform showing real-time energy use on the level of the building block; ii) Climate Street, a project that intended to make an entire urban high street sustainable, involving a large number of stakeholders, and iii) Ikringloop, an application that helps to recycle or to re-use waste. Each of the projects faced great complexities in the upscaling process, albeit to a varying degree. The paper ends with conclusions and recommendations on pilot projects and partnership governance, and adds new reflections to the debates on upscaling.
In many cities, pilot projects are set up to test new technologies that help to address urban sustainability issues, improve the effectiveness of urban services, and enhance the quality of life of citizens. These projects, often labelled as “smart city” projects, are typically supported by municipalities, funded by subsidies, and run in partnerships. Many of the projects fade out after the pilot stage, and fail to generate scalable solutions that contribute to sustainable urban development. The lack of scaling is widely perceived as a major problem. In this paper, we analyze processes of upscaling, focusing on smart city pilot projects in which several partners—with different missions, agendas, and incentives—join up. We start with a literature review, in which we identify three types of upscaling: roll-out, expansion, and replication, each with its own dynamics and degree of context sensitivity. The typology is further specified in relation to several conditions and requirements that can impact upscaling processes, and illustrated by a descriptive analysis of three smart city pilot projects developed in Amsterdam. The paper ends with conclusions and recommendations on pilot projects and partnership governance, and adds new perspectives on the debate regarding upscaling.
