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The concept of open government is not historically linked to digitisation, but is increasingly used in this context. The ambiguity of the term thus represents a conceptual vagueness. The existing systematisation approaches of Digital Open Government mostly focus on specific partial aspects, such as Open Government Data, so that a uniform understanding has not been conceptually elaborated. This article derives an integrated framework based on the existing literature. It structures the concept of Digital Open Government comprehensively by linking six key levels: technological infrastructure, development, process, service and business model, governance and regulation. [ABSTRACT FROM AUTHOR]

Digital technologies and connectivity offer unprecedented opportunities for businesses to adapt and reinvent themselves to gain and sustain competitive advantage. Digital transformation and business model innovation have generated a large body of research in recent years due to their great practical importance. This study critically evaluates this extensive literature and aims to capture different understandings of digital business models (DBMs), identify knowledge gaps and highlight perspectives for further research. To achieve this, the literature review deductively filters out the most relevant 626 studies. For this purpose, the literature is clustered into the areas of "definition and terminology", "classification and taxonomy", "technology", "configuration, structures and processes", "drivers and determinants" and "results and impacts". The most important scientific results and approaches are discussed and corresponding implications are derived from previous research in order to summarise the most important findings and perspectives for science and practice. [ABSTRACT FROM AUTHOR]

This study seeks to fill in open government research gaps by structuring and shedding light on the field of empirical open government research by means of a systematic literature review. In doing so, 64 empirical open government studies published in peer-reviewed journals in the period from 2000 to 2020 are analyzed based on their key topic, study type, research design, method of analysis, data collection and research perspective. Our findings reveal seven key topics and major gaps in empirical open government research, opening up new research avenues and identifying the most relevant unresolved research avenues. [ABSTRACT FROM AUTHOR]

Currently, the prevailing trend of urbanization threatens to overcrowd the world's cities in the upcoming years thus fostering the conceptualization of 'smart city' policies to increase their capacities for housing and supplying their citizens. This study reviews previous approaches modelling cities as collaborative ecosystems and combines the various societal, economic, and technological interactions of its stakeholders to an integrated notion of collaborative SC ecosystems. By reviewing the results of the relevant literature, these studies show parallels between Smart Cities and open innovation ecosystems. Based on these findings, the study defines a Smart City as an urban innovation ecosystem following a quadruple-helix structure. By investigating the applicability of governance instruments and digital technologies, it becomes apparent that smart technologies provide the opportunity to program a governance mechanism into the algorithmic structure of SC software thus giving birth to governance by smart technologies. [ABSTRACT FROM AUTHOR]

The growing number of mobile and wireless devices is a key reason for the rising importance of and the interest in mobile government. As researchers and practitioners still ask for further empirical research in this area, it is necessary to analyze existing research and cluster it in order to reveal research gaps. This literature review focuses this demand by scrutinizing the available quantitative empirical research approaches, and therefore identifying areas requiring further exploration. In examining 32 quantitative empirical mobile government publications, we identified four differing research sub-topics. Furthermore, we clustered these publications according to research design, statistical methods, data collection and research perspectives. Based on our findings, we will make recommendations for further research in particular areas. [ABSTRACT FROM AUTHOR]

Business model innovation (BMI) is a well-established approach to adapt structures, activities, and services to dynamic environments. Increasing digitization and changing stakeholder demands put pressure on public organizations to adjust their business models (BMs). However, public BMI research is fragmented and lacks conceptual sophistication. Drawing on an analysis of BMI studies and supplementary public management literature, our study develops an integrative framework representing the underlying public value-oriented BM structure that can be innovated through democratically driven BMI processes. Our framework specifies public BMI and serves as a guide for research and practice by providing implications for improving public value. [ABSTRACT FROM AUTHOR]