Introduction to Smart Cities, Smart Government, and Smart Governance Minitrack

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Multi-stakeholder innovation in smart city discourse : quadruple helix-thinking in the age of ‘platforms’

The predominant rhetoric in smart city debates puts the emphasis on collaboration. Conceptualizing, designing, implementing, validating, and evaluating solutions to urban challenges with all relevant stakeholders around the table are perceived as the optimal modus operandi in these perspectives. But how does this vision relate to current practices in cities? This paper deals with the observed trend toward more multi-stakeholder collaboration and the resulting complex value networks these stakeholders need to navigate. This is exemplified in what has been called the “platformization” of the urban space by “urban service platforms” (e.g., Uber, AirBnB) as well as in so-called “quadruple helix” approaches to urban innovation. Particularly for (local) government, finding a role in these complex networks has proven challenging. This paper explores the main challenges concerning multi-stakeholder innovation and opportunities related to this topic

Open Data Diffusion for Service Innovation: An Inductive Case Study on Cultural Open Data Services

Information Systems research on Open Data has been primarily focused on its contribution to e-government inquiries, government transparency, and open government. Recently, Open Data has been explored as a catalyser for service innovation as a consequence of big claims around the potential of such initiatives in terms of additional value that can be injected into the worldwide economy. Subsequently, the Open Data Services academic conversation was structured (Lindman et al. 2013a). The research project presented in this paper is an interpretive case study that was carried out to explore the factors that influence the diffusion of Open Data for new service development. This paper contributes to this debate by providing an interpretive inductive case study (Walsham 1995) of a tourism company that successfully turned several city authorities’ raw open datasets into a set of valuable services. Results demonstrate that 16 factors and 68 related variables are the most relevant in the process of diffusion of open data for new service development. Furthermore, this paper demonstrates the suitability of Social Constructionism and interpretive case study research to inductively generate knowledge in this field

Adoption of Open Government Data for Commercial Service Innovation: an Inductive Case Study on Parking Open Data Services

City councils produce large amounts of data. As this data becomes available, and as information and communication technology capabilities are in place to manage and exploit this data, open government data is seen as becoming more and more valuable as a catalyst for service innovation and economic growth. Notwithstanding this, evidence of open data adoption is currently largely scattered and anecdotal. This is reflected in the lack of literature focusing on users of open data for commercial purposes. This research aims to address this gap and contributes to the IS open data services debate by proposing a model of factors perceived by an open data services business as the most relevant in explaining adoption of open government data for commercial service innovation in cities. Adopting an inductive reasoning approach through qualitative methods was critical to capture the complexity of the open data services ecosystem perceived by those reusing this data

Rebuilding Evolution: A Service Science Perspective

This paper explores a simple idea and asks a simple question: What determines the speed limit of evolutionary processes, and might there be ways to speed up those processes for certain types of systems under certain conditions? Or even more simply, how rapidly can complex systems be rebuilt? To begin with, the universe can be viewed as an evolving ecology of entities. Entities correspond to types of systems - from atoms in stars to organisms on Earth to ideas in the heads of people. Service science is the study of the evolving ecology of service system entities, complex socio-technical systems with rights and responsibilities – such as people, businesses, and nations. We can only scratch the surface in this paper, but our explorations suggest this is an important research question and direction, especially as we enter the cognitive era of smart and wise service systems. For example, it takes a child multiple years of experience to learn language and basic social interactions skills, but could machine learning algorithms with the proper data sets learn those capabilities in a fraction of the time

Data-Driven Understanding of Smart Service Systems Through Text Mining

Smart service systems are everywhere, in homes and in the transportation, energy, and healthcare sectors. However, such systems have yet to be fully understood in the literature. Given the widespread applications of and research on smart service systems, we used text mining to develop a unified understanding of such systems in a data-driven way. Specifically, we used a combination of metrics and machine learning algorithms to preprocess and analyze text data related to smart service systems, including text from the scientific literature and news articles. By analyzing 5,378 scientific articles and 1,234 news articles, we identify important keywords, 16 research topics, 4 technology factors, and 13 application areas. We define ???smart service system??? based on the analytics results. Furthermore, we discuss the theoretical and methodological implications of our work, such as the 5Cs (connection, collection, computation, and communications for co-creation) of smart service systems and the text mining approach to understand service research topics. We believe this work, which aims to establish common ground for understanding these systems across multiple disciplinary perspectives, will encourage further research and development of modern service systems

The overview-analytical document of the international experience of building smart city

The population of the planet is constantly growing, people are moving to the cities. Recently, more and more interest is being given to smart cities as a guarantee of at least comfortable living of citizens, as a maximum – an ultramodern autonomous city with artificial intellect, anticipating the needs of residents, capable of functioning autonomously for a long time. The purpose of the article is to analyze the experience of smart cities, highlight the distinctive and common features and outline the initial stages of the route map for the development of a specific city into a smart city. After the study, it became clear that the concept of “smart city” is very broad, scientists are investing a huge number of parameters that characterize a smart city, but it was possible to identify common characteristics. Also, the hypothesis was tested that the city’s urbanization should be oriented towards the inhabitants of this city, i.е. implemented not by a single algorithm, but by an algorithm that is adapted to the needs of a particular city. We proposed a methodology for the preparatory stage of the city’s self-mastering, which is based on expert assessments by a prior ranking, includes 2 stages and which was tested on the example of Odessa (Ukraine). At the first stage, the questionnaire contained questions about the six main characteristics of a smart city. At this stage three characteristics were singled out, which are of particular concern to Odessa citizens and the second survey contained 36 clarifying questions only for these three characteristics. The results allowed to distinguish 6 characteristics from which it is necessary to start Odessa’s growth as a smart city