A Paradigmatic Analysis of Digital Application Marketplaces

This paper offers a paradigmatic analysis of digital application marketplaces for advancing information systems (IS) research on digital platforms and ecosystems. We refer to the notion of digital application marketplace, colloquially called “appstores,” as a platform component that offers a venue for exchanging applications between developers and end-users belonging to a single or multiple ecosystems. Such marketplaces exhibit diversity in features and assumptions, and we propose that examining this diversity, and its ideal types, will help us to further understand the relationship between application marketplaces, platforms, and platform ecosystems. To this end, we generate a typology that distinguishes four kinds of digital application marketplaces: closed, censored, focused, and open marketplaces. The paper also offers implications for actors wishing to make informed decisions about their relationship to a particular digital application marketplace

The Dynamics of Transformation in the Development of Digital Services

Service providers are increasingly depending and using digital infrastructure and tools provided by digital platforms to transform their services and develop digital ones that meet the needs of heterogeneous end users. However, while there is an emerging literature of developing digital services, little is known about the dynamics of transformation. Using multiple cases of firms that develop digital services, the digital service taxonomy was synthesized to understand the dynamics of transformation in developing digital services. This study identifies five main dynamics: the services experience, the service process, the service capabilities, the service environment and the service delivery.  Each of those dynamics and their associated factors is explored under the objectives of business, interaction and technology. This enables us to extend the existing literature on digital service development in particular and contributes to the research of digital innovation in general

JXTA-Overlay: a P2P platform for distributed, collaborative, and ubiquitous computing

With the fast growth of the Internet infrastructure and the use of large-scale complex applications in industries, transport, logistics, government, health, and businesses, there is an increasing need to design and deploy multifeatured networking applications. Important features of such applications include the capability to be self-organized, be decentralized, integrate different types of resources (personal computers, laptops, and mobile and sensor devices), and provide global, transparent, and secure access to resources. Moreover, such applications should support not only traditional forms of reliable distributing computing and optimization of resources but also various forms of collaborative activities, such as business, online learning, and social networks in an intelligent and secure environment. In this paper, we present the Juxtapose (JXTA)-Overlay, which is a JXTA-based peer-to-peer (P2P) platform designed with the aim to leverage capabilities of Java, JXTA, and P2P technologies to support distributed and collaborative systems. The platform can be used not only for efficient and reliable distributed computing but also for collaborative activities and ubiquitous computing by integrating in the platform end devices. The design of a user interface as well as security issues are also tackled. We evaluate the proposed system by experimental study and show its usefulness for massive processing computations and e-learning applications.Peer ReviewedPostprint (author's final draft

A Storm in an IoT Cup: The Emergence of Cyber-Physical Social Machines

The concept of social machines is increasingly being used to characterise various socio-cognitive spaces on the Web. Social machines are human collectives using networked digital technology which initiate real-world processes and activities including human communication, interactions and knowledge creation. As such, they continuously emerge and fade on the Web. The relationship between humans and machines is made more complex by the adoption of Internet of Things (IoT) sensors and devices. The scale, automation, continuous sensing, and actuation capabilities of these devices add an extra dimension to the relationship between humans and machines making it difficult to understand their evolution at either the systemic or the conceptual level. This article describes these new socio-technical systems, which we term Cyber-Physical Social Machines, through different exemplars, and considers the associated challenges of security and privacy.Comment: 14 pages, 4 figure

Digital Ecosystems: Ecosystem-Oriented Architectures

We view Digital Ecosystems to be the digital counterparts of biological ecosystems. Here, we are concerned with the creation of these Digital Ecosystems, exploiting the self-organising properties of biological ecosystems to evolve high-level software applications. Therefore, we created the Digital Ecosystem, a novel optimisation technique inspired by biological ecosystems, where the optimisation works at two levels: a first optimisation, migration of agents which are distributed in a decentralised peer-to-peer network, operating continuously in time; this process feeds a second optimisation based on evolutionary computing that operates locally on single peers and is aimed at finding solutions to satisfy locally relevant constraints. The Digital Ecosystem was then measured experimentally through simulations, with measures originating from theoretical ecology, evaluating its likeness to biological ecosystems. This included its responsiveness to requests for applications from the user base, as a measure of the ecological succession (ecosystem maturity). Overall, we have advanced the understanding of Digital Ecosystems, creating Ecosystem-Oriented Architectures where the word ecosystem is more than just a metaphor.Comment: 39 pages, 26 figures, journa

Government as a social machine - the implications of government as a social machine for making and implementing market-based policy

This is the second of two reports from the Government as a Social Machine project. The first report gave an overview of the evolution of electronic/digital government, and explored the concept of 21st century government as a \u27social machine\u27. This report identifies seven social machines developed by governments in Australia and New Zealand. These social machines harness digital technologies in order to deliver more effective and efficient services, develop better business practices, and enable better accountability and transparency. The report gives an overview of each social machine in context, describing the social need that is being met and the community that has developed it, and begins to unravel some of the socio-political consequences that might arise from the use of these social machines within the public policy context. These reports are not intended to be comprehensive (further educational materials are being developed as part of the ANZSOG Case Library), but they are intended to begin a conversation amongst those studying or practicing in public policy as to how governments can better understand, manage and employ these evolving social machines for better governance and social benefit