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The article presents the author's approach to the study of electronic governance (E-Governance) from the institutional theory standpoint in context of Smart Cities projects development.A publications review devoted to this topic suggests that, although the "smart cities" discourse is actively used in the official documents and programs development aimed at developing the urban environment, the academic discourse does not develop a common understanding of this phenomenon and its specific elements.The article provides a basic definition of electronic control and describes the institutional model of this multi-factor phenomenon. The model assumes the division of the institutional picture into two groups: the institutions of power (presidential, legislative, executive, judicial, regional government, local government and subordinate organizations); - other social institutions. In the presented model, the so-called "New" (electronic) institutional entities: E-Government; Electronic business environment (E-Business); The electronic environment that provides the functioning of institutions that are not related to power and business (E-Society). ; В статье представлен подход автора к исследованию электронного управления (E-Governance) в контексте развития специфической междисциплинарной области проектной деятельности «Умный город» (Smart City) с позиции институциональной теории.Обзор публикаций, посвященных этой тематике, свидетельствует о том, что, хотя дискурс «умных городов» активно используется при разработке официальных документов и программ, направленных на развитие городской среды, но в академическом дискурсе не складывается единого понимания этого феномена и его отдельных элементов.В статье приведено базовое определение электронного управления и описана институциональная модель этого многофакторного явления. Модель предполагает разделение институциональной картины на две группы: институты власти (президентская, законодательная, исполнительная, судебная, региональные органы власти, органы местного самоуправления и подведомственные организации); – остальные социальные институты. В представленной модели проведена группировка т.н. «новых» (электронных) институциональных образований: Электронное правительство (E-Government); Электронная деловая среда (E-Business); Электронная среда, обеспечивающая функционирование институтов, не относящихся к власти и бизнесу (E-Society).Представляется, что данная модель может служить основой для проведения комплексных исследований электронного управления и функционирования механизмов обратной связи в такой социотехнической конструкции как «Умный город».

Intro -- Preface -- Organization -- Contents -- Keynote -- Adaptive Governance for a Resilient Digital Society -- 1 The Need for Adaptive Governance -- 2 Is Adaptive Governance an Oxymoron? -- 3 Combining Values -- 4 Creating Adaptive Governance -- 5 Conclusions -- References -- Digital Technology and Design -- The Role of Service Design in Increasing Regional Innovation in the Silver Economy -- 1 Introduction -- 2 Estonian Background -- 3 Service Design -- 4 Discussion, Conclusions and Future Work -- References -- Unraveling the Social-Technical Complexity of Dashboards for Transformation -- 1 Introduction -- 2 Conceptualizing Dashboards: From Data Generation to Implementation -- 3 Challenges -- 4 Conclusion -- References -- Segregation of Duties in Business Architecture Models -- 1 Introduction -- 2 Segregation of Duties in Literature Review -- 3 Combining Business Architecture Modelling Methods -- 4 Law Firm Business Model - Illustrative Case Study -- 5 Conclusions -- References -- Standard Cloud Solution for Control and Supervision in Russia -- 1 Introduction -- 2 Literature Review -- 3 Current Cloud Computing Models -- 4 Current International Practice of the Use of Cloud Computing for Public Administration -- 4.1 USA -- 4.2 European Union -- 4.3 Asia and Pacific -- 5 Forming Legal Framework for Cloud Computing Solutions for Control and Supervision in Russia -- 6 Current Practice of Introducing SIS SCS CSA -- 7 Conclusion and Results -- References -- The Concept and the Roadmap to Linked Open Statistical Data in the Russian Federation -- 1 Introduction -- 2 Methods -- 3 Review -- 4 Results and Discussion -- 4.1 Development and Dissemination of Linked Open Statistics in Rosstat. Aims and Objectives -- 4.2 Principles for LOSD Development and Dissemination -- 4.3 The System of Actions for the Implementation of the Concept -- 5 Conclusion.

Intro -- Preface -- Organization -- Contents -- Methodological Issues in eParticipation -- Developing Criteria for Evaluating a Multi-channel Digitally Enabled Participatory Budgeting Platform -- Abstract -- 1 Introduction -- 2 Conceptual Background -- 3 Methodology -- 4 Proposed Evaluation Metric -- 4.1 Technical KPIs -- 4.2 Non-technical Indicator: Behavioral -- 4.3 Non-technical Indicator: Socio-Economy -- 4.4 Non-technical Indicator: Political -- 4.5 Non-technical Indicator: Process -- 5 Conclusions -- References -- Balancing Potential and Risk: The Living Lab Approach in Mobile Participation Research -- 1 Introduction -- 2 Running the Living Lab -- 2.1 Täsä Application -- 2.2 Usage Results -- 2.3 Collaboration with the Municipality -- 3 Challenges Encountered in the Living Lab -- 3.1 Challenges of the New Participation Application -- 3.2 Political Distrust and Skepticism on Citizen Participation -- 4 Conclusions and Discussion -- References -- Child's Play - A Literature-Based Survey on Gamified Tools and Methods for Fostering Public Particip ... -- Abstract -- 1 Introduction -- 2 Gamification, Playfulness and Mobile Participation -- 3 Methodology -- 4 Results -- 4.1 Information -- 4.2 Consultation -- 4.3 Collaboration -- 5 Conclusions -- Acknowledgements -- References -- eParticipation Implementations -- Disentangling Digital Divide and Trust -- 1 Introduction -- 2 The Context of Swiss Internet Voting -- 3 Current State of Research -- 4 Theoretical Considerations -- 4.1 Digital Divide -- 4.2 Technology Acceptance Model (TAM) -- 4.3 The Calculus of Voting -- 4.4 Hypotheses -- 5 Data and Methods -- 5.1 The Swiss Internet Voting Survey 2016 -- 5.2 Partial Least Squares Modelling -- 6 Empirical Analysis -- 6.1 The Measurement Model -- 6.2 Results -- 7 Discussion -- References.