This paper argues for a specific urban planning perspective on smart governance that we call “smart urban governance,” which represents a move away from the technocratic way of governing cities often found in smart cities. A framework on smart urban governance is proposed on the basis of three intertwined key components, namely spatial, institutional, and technological components. To test the applicability of the framework, we conducted an international questionnaire survey on smart city projects. We then identified and discursively analyzed two smart city projects—Smart Nation Singapore and Helsinki Smart City—to illustrate how this framework works in practice. The questionnaire survey revealed that smart urban governance varies remarkably: As urban issues differ in different contexts, the governance modes and relevant ICT functionalities applied also differ considerably. Moreover, the case analysis indicates that a focus on substantive urban challenges helps to define appropriate modes of governance and develop dedicated technologies that can contribute to solving specific smart city challenges. The analyses of both cases highlight the importance of context (cultural, political, economic, etc.) in analyzing interactions between the components. In this, smart urban governance promotes a sociotechnical way of governing cities in the “smart” era by starting with the urban issue at stake, promoting demand-driven governance modes, and shaping technological intelligence more socially, given the specific context.

The implementation of smart governance in government policies and practices is criticised for its dominant focus on technology investments, which leads to a rather technocratic and corporate way of ‘smartly’ governing cities and less consideration of actual user needs. To help prevent a mismatch between the demand for and the supply of technology, this paper explores what smart governance can learn from efforts in debates on planning support systems to close the ‘PSS implementation gap’. This gap refers to a long-standing discrepancy between the availability of planning support systems (supply) and the time-bound support needs of planning practice (demand). By exploring both the academic field of smart governance and the debates on the planning support system implementation gap, this paper contributes to the further development of smart governance by learning from the experiences in the planning support system debates. Two particular lessons are distilled: (1) for technology to be of added value to practice, it should be attuned to the wishes and capabilities of the intended users and to the specifics of the tasks to be accomplished, given the particularities of the context in which the technology is applied; and (2) closing the planning support system implementation gap reveals that knowledge on the context specificities is of utmost importance and will also be of importance to the smart governance developments. In conclusion, smart governance can and should become more aware of the role of contextual factors in collaboration with users and urban issues. This is expected to shift the emphasis from today’s technology-focused, supply-driven smart governance development, to a socio-technical, application-pulled and demand-driven smart governance development.

Over the past decade, the dominant entrepreneurial form of urban governance has seriously hindered the transformation of cities by neglecting the role of urban contexts in shaping governance structures and outcomes. To promote alternatives, this article presents a sociotechnical framework for smart urban governance. This framework explicitly examines the impacts of urban contexts on the sociotechnical interaction between urban technological innovation and urban governance in the realm of smart cities. Three real-world cases were used to demonstrate how the framework can be applied in different urban contexts. The results show that the alleged smartness in smart urban governance by no means implies the simple acceptance, adoption, and use of technology; instead, it needs to be conditionate. For successful smart urban governance, urban technological innovation should be effectively attuned to the wider urban actors and preexisting urban challenges (i.e., the urban governance process), with a special focus on the urban context.