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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]

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]

This research aims to systematically analyse literature reviews on business models to determine which and to what extent specific business model (BM) research topics receive attention. The systematic meta approach allows 23 selected studies to be examined on the basis of their content by comparing their research approach, focus and results, citation success and stated research directions. In this context, 10 key BM research areas could be derived, which can be grouped into four research domains: (1) BM terminology, (2) BM factors, (3) BM outcomes and impacts, and (4) BM concept application and transfer. The systematic and detailed analysis of the research enables the identification of research gaps and the derivation of recommendations for future BM research efforts. [ABSTRACT FROM AUTHOR]

Governments worldwide are struggling to contain the spread of COVID-19 because many countries rely on outdated, non-digital response approaches and are thus far from exploiting the potential that digital technologies provide for pandemic response. Consequently, this study constructs a systematic approach to coordinate and manage digital pandemic response applications. To do so, the study reviews 210 peer-reviewed journal articles retrieved by querying scientific databases and searching for best-practice reports. To construct a strategic action framework, this study relies upon an organizational approach illustrating target setting and functional content in five strategic action fields. As a result, this study contributes to the current state of research by explaining how digital technology and applications may improve public pandemic response management. For practitioners, the comprehensive and action-oriented approach provides insights into the scope and the content of strategic fields of digital pandemic prevention and a roadmap to prepare digital society for pandemic outbreakes. [ABSTRACT FROM AUTHOR]

The aspired potentials of the "Smart City" (SC) and its deficits in practice are essential reasons why the subject is assigned to a rapidly growing body of literature. This situation requires a specific review of the literature summarizing the research efforts to date into research branches and topics, unifying essential basic concepts and thus forming a solid basis for further research. The present study first derives a basic structure of research by an analysis of the available literature reviews. Subsequently, a systematic examination of SC literature by means of an EBSCO data query identifies the current research topics and compiles a comprehensive view of the research topics. The present study is therefore not only of interest for scientific use, but also offers practitioners an overview of the various sub-areas of a SC, as well as of the currently available findings and experiences in relation to the implementation of SC (sub-)projects. [ABSTRACT FROM AUTHOR]

In view of the multitude of challenges urban public administration is struggling with, more and more cities are turning towards smart solutions using information and communication technology. Such Smart City approaches revert to data provided in the urban space by sensors, by citizens or by the archives of the authorities aiming at providing public services that increase the quality of life for citizens, optimize mobility within the city or enhance flexibility and responsiveness of public authorities. This article identifies such SC approaches as well as their basic technical requirements for the cities of Vienna, Singapore, and San Francisco and, by compiling the public service portfolios of these cities, creates an integrative, strategic overview of a SC's range of services. This approach thus helps to create a scientific basis for the evaluation of SC services and to provide a strategic modular toolkit for public managers to plan and design SCs. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) extends the limits of current performance in data processing and analysis many times over. Since this states a great improvement in managing public data, this conceptual study discusses the use of AI in public management structures in connection with their risks and side effects. The exercise of state power and public influence through intelligent machines make ethical and political guidelines essential for their operation, constituting the cornerstones of the AI framework model developed here. The organizational structure and technical specification are additional aspects of the AI that determine design and functionality of the framework model in practical application. [ABSTRACT FROM AUTHOR]